diff --git a/pku_mmd_xsub/b_1/20250702_012820.log b/pku_mmd_xsub/b_1/20250702_012820.log new file mode 100644 index 0000000000000000000000000000000000000000..35b7825099dee37bf63276fbe15ca323644142c9 --- /dev/null +++ b/pku_mmd_xsub/b_1/20250702_012820.log @@ -0,0 +1,2811 @@ +2025-07-02 01:28:20,351 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 01:28:20,673 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/b_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 01:28:20,674 - pyskl - INFO - Set random seed to 1719138691, deterministic: False +2025-07-02 01:28:24,600 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 01:28:46,258 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 01:28:46,263 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1 +2025-07-02 01:28:46,263 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 01:28:46,263 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 01:28:46,263 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1 by HardDiskBackend. +2025-07-02 01:29:22,573 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:48:35, time: 0.363, data_time: 0.209, memory: 3565, top1_acc: 0.0638, top5_acc: 0.2137, loss_cls: 4.3205, loss: 4.3205 +2025-07-02 01:29:37,630 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:35:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.1062, top5_acc: 0.3137, loss_cls: 4.1009, loss: 4.1009 +2025-07-02 01:29:52,678 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:50:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1638, top5_acc: 0.4437, loss_cls: 3.6304, loss: 3.6304 +2025-07-02 01:30:07,738 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:58:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.1981, top5_acc: 0.5344, loss_cls: 3.3578, loss: 3.3578 +2025-07-02 01:30:22,829 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:27:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2537, top5_acc: 0.6375, loss_cls: 3.0227, loss: 3.0227 +2025-07-02 01:30:37,790 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:05:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.3069, top5_acc: 0.7119, loss_cls: 2.7879, loss: 2.7879 +2025-07-02 01:30:52,725 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:49:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.3131, top5_acc: 0.7294, loss_cls: 2.7220, loss: 2.7220 +2025-07-02 01:31:07,654 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:38:06, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.3750, top5_acc: 0.7844, loss_cls: 2.5150, loss: 2.5150 +2025-07-02 01:31:22,538 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:28:44, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4069, top5_acc: 0.8125, loss_cls: 2.4030, loss: 2.4030 +2025-07-02 01:31:37,463 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:21:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4462, top5_acc: 0.8306, loss_cls: 2.2522, loss: 2.2522 +2025-07-02 01:31:52,467 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:15:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4869, top5_acc: 0.8819, loss_cls: 2.0751, loss: 2.0751 +2025-07-02 01:32:04,663 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 01:32:27,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:32:27,291 - pyskl - INFO - +top1_acc 0.5144 +top5_acc 0.9057 +2025-07-02 01:32:27,422 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 01:32:27,422 - pyskl - INFO - Best top1_acc is 0.5144 at 1 epoch. +2025-07-02 01:32:27,423 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5144, top5_acc: 0.9057 +2025-07-02 01:33:03,256 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:27:55, time: 0.358, data_time: 0.209, memory: 3565, top1_acc: 0.5300, top5_acc: 0.8794, loss_cls: 1.9651, loss: 1.9651 +2025-07-02 01:33:18,243 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:22:34, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5337, top5_acc: 0.8925, loss_cls: 1.9234, loss: 1.9234 +2025-07-02 01:33:33,171 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:17:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.5337, top5_acc: 0.9025, loss_cls: 1.8802, loss: 1.8802 +2025-07-02 01:33:47,962 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:13:20, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.5581, top5_acc: 0.9125, loss_cls: 1.7983, loss: 1.7983 +2025-07-02 01:34:02,701 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:09:17, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.5975, top5_acc: 0.9219, loss_cls: 1.6621, loss: 1.6621 +2025-07-02 01:34:17,390 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:05:36, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.6156, top5_acc: 0.9137, loss_cls: 1.6903, loss: 1.6903 +2025-07-02 01:34:32,138 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:02:21, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.6469, top5_acc: 0.9369, loss_cls: 1.5323, loss: 1.5323 +2025-07-02 01:34:46,816 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 7:59:19, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.6338, top5_acc: 0.9331, loss_cls: 1.5488, loss: 1.5488 +2025-07-02 01:35:01,766 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 7:56:55, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6506, top5_acc: 0.9437, loss_cls: 1.4852, loss: 1.4852 +2025-07-02 01:35:16,774 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:54:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6506, top5_acc: 0.9463, loss_cls: 1.5065, loss: 1.5065 +2025-07-02 01:35:31,758 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:52:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6656, top5_acc: 0.9337, loss_cls: 1.4896, loss: 1.4896 +2025-07-02 01:35:43,972 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 01:36:07,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:36:07,027 - pyskl - INFO - +top1_acc 0.6468 +top5_acc 0.9538 +2025-07-02 01:36:07,030 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_1.pth was removed +2025-07-02 01:36:07,146 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 01:36:07,147 - pyskl - INFO - Best top1_acc is 0.6468 at 2 epoch. +2025-07-02 01:36:07,148 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.6468, top5_acc: 0.9538 +2025-07-02 01:36:42,489 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 7:59:54, time: 0.353, data_time: 0.204, memory: 3565, top1_acc: 0.6731, top5_acc: 0.9500, loss_cls: 1.4358, loss: 1.4358 +2025-07-02 01:36:57,418 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 7:57:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6981, top5_acc: 0.9619, loss_cls: 1.3163, loss: 1.3163 +2025-07-02 01:37:12,408 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 7:55:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7125, top5_acc: 0.9600, loss_cls: 1.2814, loss: 1.2814 +2025-07-02 01:37:27,405 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:54:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7175, top5_acc: 0.9556, loss_cls: 1.2960, loss: 1.2960 +2025-07-02 01:37:42,617 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:52:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7150, top5_acc: 0.9556, loss_cls: 1.2721, loss: 1.2721 +2025-07-02 01:37:57,614 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:51:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7169, top5_acc: 0.9594, loss_cls: 1.2576, loss: 1.2576 +2025-07-02 01:38:12,652 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:49:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7050, top5_acc: 0.9481, loss_cls: 1.2840, loss: 1.2840 +2025-07-02 01:38:27,665 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:48:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7219, top5_acc: 0.9569, loss_cls: 1.2561, loss: 1.2561 +2025-07-02 01:38:42,620 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:46:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7506, top5_acc: 0.9606, loss_cls: 1.2092, loss: 1.2092 +2025-07-02 01:38:57,636 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:45:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7344, top5_acc: 0.9663, loss_cls: 1.2320, loss: 1.2320 +2025-07-02 01:39:12,726 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:44:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7556, top5_acc: 0.9613, loss_cls: 1.1484, loss: 1.1484 +2025-07-02 01:39:25,151 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 01:39:47,575 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:39:47,585 - pyskl - INFO - +top1_acc 0.7023 +top5_acc 0.9704 +2025-07-02 01:39:47,589 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_2.pth was removed +2025-07-02 01:39:47,700 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 01:39:47,701 - pyskl - INFO - Best top1_acc is 0.7023 at 3 epoch. +2025-07-02 01:39:47,702 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7023, top5_acc: 0.9704 +2025-07-02 01:40:23,727 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:49:58, time: 0.360, data_time: 0.210, memory: 3565, top1_acc: 0.7644, top5_acc: 0.9575, loss_cls: 1.1422, loss: 1.1422 +2025-07-02 01:40:38,583 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:48:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7694, top5_acc: 0.9694, loss_cls: 1.0632, loss: 1.0632 +2025-07-02 01:40:53,477 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:47:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7562, top5_acc: 0.9594, loss_cls: 1.1274, loss: 1.1274 +2025-07-02 01:41:08,595 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:46:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7669, top5_acc: 0.9669, loss_cls: 1.1203, loss: 1.1203 +2025-07-02 01:41:23,734 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:45:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7638, top5_acc: 0.9594, loss_cls: 1.1187, loss: 1.1187 +2025-07-02 01:41:38,899 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:44:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7438, top5_acc: 0.9706, loss_cls: 1.1180, loss: 1.1180 +2025-07-02 01:41:54,027 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:43:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9706, loss_cls: 1.0426, loss: 1.0426 +2025-07-02 01:42:09,069 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:42:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7775, top5_acc: 0.9644, loss_cls: 1.0327, loss: 1.0327 +2025-07-02 01:42:24,169 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:41:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7819, top5_acc: 0.9706, loss_cls: 1.0104, loss: 1.0104 +2025-07-02 01:42:39,058 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:40:22, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9675, loss_cls: 0.9971, loss: 0.9971 +2025-07-02 01:42:53,995 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:39:25, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7881, top5_acc: 0.9738, loss_cls: 1.0055, loss: 1.0055 +2025-07-02 01:43:06,236 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 01:43:28,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:43:28,640 - pyskl - INFO - +top1_acc 0.8118 +top5_acc 0.9822 +2025-07-02 01:43:28,644 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_3.pth was removed +2025-07-02 01:43:28,751 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 01:43:28,752 - pyskl - INFO - Best top1_acc is 0.8118 at 4 epoch. +2025-07-02 01:43:28,753 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.8118, top5_acc: 0.9822 +2025-07-02 01:44:04,315 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:43:08, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.7856, top5_acc: 0.9675, loss_cls: 1.0439, loss: 1.0439 +2025-07-02 01:44:19,407 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:42:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7963, top5_acc: 0.9762, loss_cls: 0.9457, loss: 0.9457 +2025-07-02 01:44:34,643 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:41:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7881, top5_acc: 0.9706, loss_cls: 0.9941, loss: 0.9941 +2025-07-02 01:44:49,906 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:40:42, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9756, loss_cls: 0.9560, loss: 0.9560 +2025-07-02 01:45:05,210 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:39:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7894, top5_acc: 0.9712, loss_cls: 0.9897, loss: 0.9897 +2025-07-02 01:45:20,313 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:39:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7837, top5_acc: 0.9669, loss_cls: 1.0291, loss: 1.0291 +2025-07-02 01:45:35,454 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:38:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 0.8122, loss: 0.8122 +2025-07-02 01:45:50,633 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:37:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9719, loss_cls: 0.9759, loss: 0.9759 +2025-07-02 01:46:05,758 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:36:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9781, loss_cls: 0.8763, loss: 0.8763 +2025-07-02 01:46:20,909 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:36:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7950, top5_acc: 0.9731, loss_cls: 0.9473, loss: 0.9473 +2025-07-02 01:46:36,029 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:35:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7900, top5_acc: 0.9750, loss_cls: 0.9560, loss: 0.9560 +2025-07-02 01:46:48,431 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 01:47:11,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:47:11,662 - pyskl - INFO - +top1_acc 0.7940 +top5_acc 0.9859 +2025-07-02 01:47:11,663 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.7940, top5_acc: 0.9859 +2025-07-02 01:47:47,671 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:38:40, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9781, loss_cls: 0.8753, loss: 0.8753 +2025-07-02 01:48:02,728 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:37:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 0.8302, loss: 0.8302 +2025-07-02 01:48:17,855 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:37:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9719, loss_cls: 0.9369, loss: 0.9369 +2025-07-02 01:48:32,716 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:36:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8256, top5_acc: 0.9744, loss_cls: 0.8761, loss: 0.8761 +2025-07-02 01:48:47,608 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:35:34, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9750, loss_cls: 0.9059, loss: 0.9059 +2025-07-02 01:49:02,494 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:34:47, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9744, loss_cls: 0.8405, loss: 0.8405 +2025-07-02 01:49:17,506 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:34:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9725, loss_cls: 0.8655, loss: 0.8655 +2025-07-02 01:49:32,425 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:33:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9700, loss_cls: 0.8082, loss: 0.8082 +2025-07-02 01:49:47,214 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:32:35, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9788, loss_cls: 0.9066, loss: 0.9066 +2025-07-02 01:50:02,003 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:31:49, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9738, loss_cls: 0.8486, loss: 0.8486 +2025-07-02 01:50:16,948 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:31:08, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9812, loss_cls: 0.8770, loss: 0.8770 +2025-07-02 01:50:29,294 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 01:50:52,457 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:50:52,467 - pyskl - INFO - +top1_acc 0.8088 +top5_acc 0.9882 +2025-07-02 01:50:52,468 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.8088, top5_acc: 0.9882 +2025-07-02 01:51:28,393 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:33:38, time: 0.359, data_time: 0.209, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 0.8253, loss: 0.8253 +2025-07-02 01:51:43,365 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:32:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9781, loss_cls: 0.8499, loss: 0.8499 +2025-07-02 01:51:58,375 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:32:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9812, loss_cls: 0.8595, loss: 0.8595 +2025-07-02 01:52:13,380 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:31:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 0.7574, loss: 0.7574 +2025-07-02 01:52:28,515 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:31:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9775, loss_cls: 0.8328, loss: 0.8328 +2025-07-02 01:52:43,643 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:30:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9788, loss_cls: 0.7800, loss: 0.7800 +2025-07-02 01:52:58,620 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:29:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9725, loss_cls: 0.8528, loss: 0.8528 +2025-07-02 01:53:13,520 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:29:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.7295, loss: 0.7295 +2025-07-02 01:53:28,337 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:28:30, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 0.8102, loss: 0.8102 +2025-07-02 01:53:43,335 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:27:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9781, loss_cls: 0.8099, loss: 0.8099 +2025-07-02 01:53:58,273 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:27:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9775, loss_cls: 0.7988, loss: 0.7988 +2025-07-02 01:54:10,509 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 01:54:32,694 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:54:32,704 - pyskl - INFO - +top1_acc 0.8388 +top5_acc 0.9933 +2025-07-02 01:54:32,708 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_4.pth was removed +2025-07-02 01:54:32,817 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 01:54:32,818 - pyskl - INFO - Best top1_acc is 0.8388 at 7 epoch. +2025-07-02 01:54:32,819 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8388, top5_acc: 0.9933 +2025-07-02 01:55:08,501 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:29:17, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7525, loss: 0.7525 +2025-07-02 01:55:23,568 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:28:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9788, loss_cls: 0.7007, loss: 0.7007 +2025-07-02 01:55:38,656 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:28:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9738, loss_cls: 0.7793, loss: 0.7793 +2025-07-02 01:55:53,597 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:27:32, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9862, loss_cls: 0.7302, loss: 0.7302 +2025-07-02 01:56:08,766 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:27:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9831, loss_cls: 0.7571, loss: 0.7571 +2025-07-02 01:56:23,893 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:26:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9756, loss_cls: 0.7606, loss: 0.7606 +2025-07-02 01:56:39,057 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:25:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 0.7854, loss: 0.7854 +2025-07-02 01:56:53,996 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:25:23, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9831, loss_cls: 0.7554, loss: 0.7554 +2025-07-02 01:57:08,903 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:24:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 0.8062, loss: 0.8062 +2025-07-02 01:57:23,867 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:24:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.7893, loss: 0.7893 +2025-07-02 01:57:38,818 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:23:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9844, loss_cls: 0.7650, loss: 0.7650 +2025-07-02 01:57:51,083 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 01:58:13,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:58:13,689 - pyskl - INFO - +top1_acc 0.8399 +top5_acc 0.9900 +2025-07-02 01:58:13,693 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_7.pth was removed +2025-07-02 01:58:13,805 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 01:58:13,806 - pyskl - INFO - Best top1_acc is 0.8399 at 8 epoch. +2025-07-02 01:58:13,807 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8399, top5_acc: 0.9900 +2025-07-02 01:58:49,792 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:25:27, time: 0.360, data_time: 0.208, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9725, loss_cls: 0.7320, loss: 0.7320 +2025-07-02 01:59:04,563 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:24:50, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9875, loss_cls: 0.6886, loss: 0.6886 +2025-07-02 01:59:19,458 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:24:16, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 0.7259, loss: 0.7259 +2025-07-02 01:59:34,394 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:23:42, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 0.6949, loss: 0.6949 +2025-07-02 01:59:49,486 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:23:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9794, loss_cls: 0.7566, loss: 0.7566 +2025-07-02 02:00:04,453 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:22:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 0.7381, loss: 0.7381 +2025-07-02 02:00:19,519 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:22:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9706, loss_cls: 0.8064, loss: 0.8064 +2025-07-02 02:00:34,479 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:21:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9781, loss_cls: 0.7764, loss: 0.7764 +2025-07-02 02:00:49,435 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:21:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 0.7132, loss: 0.7132 +2025-07-02 02:01:04,351 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:20:34, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9756, loss_cls: 0.7537, loss: 0.7537 +2025-07-02 02:01:19,387 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:20:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 0.7664, loss: 0.7664 +2025-07-02 02:01:31,672 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 02:01:54,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:01:54,464 - pyskl - INFO - +top1_acc 0.8291 +top5_acc 0.9908 +2025-07-02 02:01:54,464 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8291, top5_acc: 0.9908 +2025-07-02 02:02:30,889 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:21:43, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 0.6900, loss: 0.6900 +2025-07-02 02:02:46,014 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:21:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 0.6971, loss: 0.6971 +2025-07-02 02:03:01,023 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:20:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9850, loss_cls: 0.6917, loss: 0.6917 +2025-07-02 02:03:15,969 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:20:12, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 0.7031, loss: 0.7031 +2025-07-02 02:03:31,087 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:19:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9738, loss_cls: 0.7410, loss: 0.7410 +2025-07-02 02:03:46,273 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:19:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9781, loss_cls: 0.7151, loss: 0.7151 +2025-07-02 02:04:01,265 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:18:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 0.7212, loss: 0.7212 +2025-07-02 02:04:16,419 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:18:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 0.6431, loss: 0.6431 +2025-07-02 02:04:31,539 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:17:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 0.7117, loss: 0.7117 +2025-07-02 02:04:46,488 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:17:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 0.7168, loss: 0.7168 +2025-07-02 02:05:01,371 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:16:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 0.7126, loss: 0.7126 +2025-07-02 02:05:13,610 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 02:05:35,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:05:35,992 - pyskl - INFO - +top1_acc 0.8229 +top5_acc 0.9822 +2025-07-02 02:05:35,993 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8229, top5_acc: 0.9822 +2025-07-02 02:06:12,298 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:18:17, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9869, loss_cls: 0.6334, loss: 0.6334 +2025-07-02 02:06:27,269 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:17:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9744, loss_cls: 0.7152, loss: 0.7152 +2025-07-02 02:06:42,350 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:17:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 0.6965, loss: 0.6965 +2025-07-02 02:06:57,303 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:16:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9875, loss_cls: 0.6584, loss: 0.6584 +2025-07-02 02:07:12,316 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:16:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9800, loss_cls: 0.6636, loss: 0.6636 +2025-07-02 02:07:27,493 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:15:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 0.6840, loss: 0.6840 +2025-07-02 02:07:42,727 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:15:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9850, loss_cls: 0.7275, loss: 0.7275 +2025-07-02 02:07:57,616 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:15:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6511, loss: 0.6511 +2025-07-02 02:08:12,871 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:14:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 0.6426, loss: 0.6426 +2025-07-02 02:08:27,940 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:14:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 0.7259, loss: 0.7259 +2025-07-02 02:08:42,925 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:13:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9788, loss_cls: 0.6523, loss: 0.6523 +2025-07-02 02:08:55,191 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 02:09:18,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:09:18,098 - pyskl - INFO - +top1_acc 0.8757 +top5_acc 0.9941 +2025-07-02 02:09:18,101 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_8.pth was removed +2025-07-02 02:09:18,207 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 02:09:18,208 - pyskl - INFO - Best top1_acc is 0.8757 at 11 epoch. +2025-07-02 02:09:18,208 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8757, top5_acc: 0.9941 +2025-07-02 02:09:54,648 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:14:58, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 0.6945, loss: 0.6945 +2025-07-02 02:10:09,714 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:14:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 0.6319, loss: 0.6319 +2025-07-02 02:10:24,861 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:14:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9856, loss_cls: 0.6430, loss: 0.6430 +2025-07-02 02:10:39,796 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:13:37, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.6766, loss: 0.6766 +2025-07-02 02:10:54,838 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:13:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6649, loss: 0.6649 +2025-07-02 02:11:10,041 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:12:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6511, loss: 0.6511 +2025-07-02 02:11:25,295 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:12:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 0.7167, loss: 0.7167 +2025-07-02 02:11:40,396 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:11:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9794, loss_cls: 0.6788, loss: 0.6788 +2025-07-02 02:11:55,396 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:11:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9781, loss_cls: 0.6516, loss: 0.6516 +2025-07-02 02:12:10,371 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:11:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 0.6646, loss: 0.6646 +2025-07-02 02:12:25,269 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:10:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6071, loss: 0.6071 +2025-07-02 02:12:37,553 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 02:13:00,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:13:00,542 - pyskl - INFO - +top1_acc 0.8791 +top5_acc 0.9915 +2025-07-02 02:13:00,546 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_11.pth was removed +2025-07-02 02:13:00,672 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-02 02:13:00,673 - pyskl - INFO - Best top1_acc is 0.8791 at 12 epoch. +2025-07-02 02:13:00,674 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8791, top5_acc: 0.9915 +2025-07-02 02:13:37,421 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:11:44, time: 0.367, data_time: 0.215, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9862, loss_cls: 0.6585, loss: 0.6585 +2025-07-02 02:13:52,399 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:11:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9794, loss_cls: 0.6903, loss: 0.6903 +2025-07-02 02:14:07,362 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:10:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 0.6461, loss: 0.6461 +2025-07-02 02:14:22,322 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:10:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9838, loss_cls: 0.6881, loss: 0.6881 +2025-07-02 02:14:37,459 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:09:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 0.6229, loss: 0.6229 +2025-07-02 02:14:52,528 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:09:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9825, loss_cls: 0.6053, loss: 0.6053 +2025-07-02 02:15:07,510 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:09:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 0.6655, loss: 0.6655 +2025-07-02 02:15:22,480 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:08:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9819, loss_cls: 0.6008, loss: 0.6008 +2025-07-02 02:15:37,432 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:08:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6233, loss: 0.6233 +2025-07-02 02:15:52,338 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:07:49, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 0.6908, loss: 0.6908 +2025-07-02 02:16:07,298 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:07:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 0.6356, loss: 0.6356 +2025-07-02 02:16:19,492 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 02:16:42,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:16:42,581 - pyskl - INFO - +top1_acc 0.8850 +top5_acc 0.9878 +2025-07-02 02:16:42,585 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_12.pth was removed +2025-07-02 02:16:42,712 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-02 02:16:42,713 - pyskl - INFO - Best top1_acc is 0.8850 at 13 epoch. +2025-07-02 02:16:42,715 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8850, top5_acc: 0.9878 +2025-07-02 02:17:19,458 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:08:23, time: 0.367, data_time: 0.215, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 0.6436, loss: 0.6436 +2025-07-02 02:17:34,395 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:07:57, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6411, loss: 0.6411 +2025-07-02 02:17:49,373 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:07:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 0.6827, loss: 0.6827 +2025-07-02 02:18:04,337 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:07:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9812, loss_cls: 0.6160, loss: 0.6160 +2025-07-02 02:18:19,332 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:06:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6375, loss: 0.6375 +2025-07-02 02:18:34,460 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:06:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 0.6825, loss: 0.6825 +2025-07-02 02:18:49,503 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:05:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9812, loss_cls: 0.6119, loss: 0.6119 +2025-07-02 02:19:04,420 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:05:26, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6158, loss: 0.6158 +2025-07-02 02:19:19,412 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:05:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6270, loss: 0.6270 +2025-07-02 02:19:34,291 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:04:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9781, loss_cls: 0.6756, loss: 0.6756 +2025-07-02 02:19:49,182 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:04:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6344, loss: 0.6344 +2025-07-02 02:20:01,509 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 02:20:24,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:20:24,704 - pyskl - INFO - +top1_acc 0.8310 +top5_acc 0.9933 +2025-07-02 02:20:24,704 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8310, top5_acc: 0.9933 +2025-07-02 02:21:01,432 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:05:03, time: 0.367, data_time: 0.217, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 0.5488, loss: 0.5488 +2025-07-02 02:21:16,518 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:04:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 0.6005, loss: 0.6005 +2025-07-02 02:21:31,523 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:04:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6111, loss: 0.6111 +2025-07-02 02:21:46,434 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:03:49, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.5890, loss: 0.5890 +2025-07-02 02:22:01,447 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:03:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.5814, loss: 0.5814 +2025-07-02 02:22:16,522 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:03:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9806, loss_cls: 0.6405, loss: 0.6405 +2025-07-02 02:22:31,549 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:02:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.6008, loss: 0.6008 +2025-07-02 02:22:46,389 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:02:11, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 0.6803, loss: 0.6803 +2025-07-02 02:23:01,221 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:01:46, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.5945, loss: 0.5945 +2025-07-02 02:23:16,011 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:01:20, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9844, loss_cls: 0.6505, loss: 0.6505 +2025-07-02 02:23:31,110 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:00:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 0.6692, loss: 0.6692 +2025-07-02 02:23:43,356 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 02:24:06,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:24:06,609 - pyskl - INFO - +top1_acc 0.8598 +top5_acc 0.9885 +2025-07-02 02:24:06,610 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8598, top5_acc: 0.9885 +2025-07-02 02:24:43,419 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:01:45, time: 0.368, data_time: 0.219, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 0.5624, loss: 0.5624 +2025-07-02 02:24:58,391 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:01:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 0.6206, loss: 0.6206 +2025-07-02 02:25:13,382 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:00:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.6097, loss: 0.6097 +2025-07-02 02:25:28,453 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:00:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 0.6192, loss: 0.6192 +2025-07-02 02:25:43,474 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:00:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 0.6579, loss: 0.6579 +2025-07-02 02:25:58,473 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 6:59:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 0.6364, loss: 0.6364 +2025-07-02 02:26:13,606 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 6:59:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5505, loss: 0.5505 +2025-07-02 02:26:28,566 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 6:58:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 0.6208, loss: 0.6208 +2025-07-02 02:26:43,353 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 6:58:34, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6285, loss: 0.6285 +2025-07-02 02:26:58,162 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 6:58:09, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 02:27:12,992 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 6:57:44, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 0.6003, loss: 0.6003 +2025-07-02 02:27:25,248 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 02:27:48,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:27:48,657 - pyskl - INFO - +top1_acc 0.8879 +top5_acc 0.9926 +2025-07-02 02:27:48,661 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_13.pth was removed +2025-07-02 02:27:48,782 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-07-02 02:27:48,783 - pyskl - INFO - Best top1_acc is 0.8879 at 16 epoch. +2025-07-02 02:27:48,784 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8879, top5_acc: 0.9926 +2025-07-02 02:28:25,841 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 6:58:30, time: 0.371, data_time: 0.219, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 0.5853, loss: 0.5853 +2025-07-02 02:28:40,894 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 6:58:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 0.6200, loss: 0.6200 +2025-07-02 02:28:55,853 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 6:57:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.5911, loss: 0.5911 +2025-07-02 02:29:10,807 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:57:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 0.5618, loss: 0.5618 +2025-07-02 02:29:25,724 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:56:55, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 0.5713, loss: 0.5713 +2025-07-02 02:29:40,739 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:56:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6342, loss: 0.6342 +2025-07-02 02:29:55,810 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:56:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 0.6173, loss: 0.6173 +2025-07-02 02:30:10,801 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:55:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9875, loss_cls: 0.6088, loss: 0.6088 +2025-07-02 02:30:25,833 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:55:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9819, loss_cls: 0.6130, loss: 0.6130 +2025-07-02 02:30:40,889 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:55:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9794, loss_cls: 0.6349, loss: 0.6349 +2025-07-02 02:30:55,968 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:54:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9800, loss_cls: 0.6044, loss: 0.6044 +2025-07-02 02:31:08,147 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 02:31:31,804 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:31:31,814 - pyskl - INFO - +top1_acc 0.8850 +top5_acc 0.9852 +2025-07-02 02:31:31,815 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8850, top5_acc: 0.9852 +2025-07-02 02:32:09,323 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:55:23, time: 0.375, data_time: 0.225, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9900, loss_cls: 0.5829, loss: 0.5829 +2025-07-02 02:32:24,551 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:55:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 0.5770, loss: 0.5770 +2025-07-02 02:32:39,738 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:54:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 0.6139, loss: 0.6139 +2025-07-02 02:32:54,633 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:54:16, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 0.5718, loss: 0.5718 +2025-07-02 02:33:09,853 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:53:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9844, loss_cls: 0.6043, loss: 0.6043 +2025-07-02 02:33:24,877 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:53:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9762, loss_cls: 0.6374, loss: 0.6374 +2025-07-02 02:33:39,869 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:53:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 0.6036, loss: 0.6036 +2025-07-02 02:33:54,855 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:52:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 0.5276, loss: 0.5276 +2025-07-02 02:34:09,762 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:52:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.6020, loss: 0.6020 +2025-07-02 02:34:24,805 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:52:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6150, loss: 0.6150 +2025-07-02 02:34:39,837 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:51:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 0.5844, loss: 0.5844 +2025-07-02 02:34:52,125 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 02:35:15,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:35:15,960 - pyskl - INFO - +top1_acc 0.8879 +top5_acc 0.9922 +2025-07-02 02:35:15,960 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8879, top5_acc: 0.9922 +2025-07-02 02:35:52,874 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:52:15, time: 0.369, data_time: 0.219, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 0.6290, loss: 0.6290 +2025-07-02 02:36:07,933 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:51:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 0.6427, loss: 0.6427 +2025-07-02 02:36:22,743 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:51:29, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.5878, loss: 0.5878 +2025-07-02 02:36:37,757 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:51:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9850, loss_cls: 0.5398, loss: 0.5398 +2025-07-02 02:36:52,700 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:50:44, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 0.5673, loss: 0.5673 +2025-07-02 02:37:07,699 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:50:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9825, loss_cls: 0.5990, loss: 0.5990 +2025-07-02 02:37:22,871 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:50:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 0.5629, loss: 0.5629 +2025-07-02 02:37:37,849 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:49:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9819, loss_cls: 0.5780, loss: 0.5780 +2025-07-02 02:37:52,877 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:49:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.5297, loss: 0.5297 +2025-07-02 02:38:07,878 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:48:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5438, loss: 0.5438 +2025-07-02 02:38:22,835 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:48:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.5967, loss: 0.5967 +2025-07-02 02:38:34,993 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 02:38:58,653 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:38:58,664 - pyskl - INFO - +top1_acc 0.8332 +top5_acc 0.9837 +2025-07-02 02:38:58,665 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8332, top5_acc: 0.9837 +2025-07-02 02:39:36,019 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:49:06, time: 0.373, data_time: 0.221, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 0.6449, loss: 0.6449 +2025-07-02 02:39:51,016 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:48:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9812, loss_cls: 0.5748, loss: 0.5748 +2025-07-02 02:40:05,986 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:48:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 0.6073, loss: 0.6073 +2025-07-02 02:40:20,970 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:47:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 0.6128, loss: 0.6128 +2025-07-02 02:40:35,953 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:47:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.5793, loss: 0.5793 +2025-07-02 02:40:51,004 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:47:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5292, loss: 0.5292 +2025-07-02 02:41:06,174 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:46:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 0.6067, loss: 0.6067 +2025-07-02 02:41:21,504 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:46:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5803, loss: 0.5803 +2025-07-02 02:41:36,661 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:46:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9800, loss_cls: 0.5851, loss: 0.5851 +2025-07-02 02:41:51,743 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:45:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5343, loss: 0.5343 +2025-07-02 02:42:06,760 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:45:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.5599, loss: 0.5599 +2025-07-02 02:42:19,002 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 02:42:42,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:42:42,621 - pyskl - INFO - +top1_acc 0.8650 +top5_acc 0.9908 +2025-07-02 02:42:42,621 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8650, top5_acc: 0.9908 +2025-07-02 02:43:19,515 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:45:59, time: 0.369, data_time: 0.219, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5774, loss: 0.5774 +2025-07-02 02:43:34,605 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:45:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 0.6059, loss: 0.6059 +2025-07-02 02:43:49,636 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:45:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9825, loss_cls: 0.5449, loss: 0.5449 +2025-07-02 02:44:04,514 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:44:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5058, loss: 0.5058 +2025-07-02 02:44:19,646 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:44:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 0.6024, loss: 0.6024 +2025-07-02 02:44:34,761 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:44:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 0.6070, loss: 0.6070 +2025-07-02 02:44:49,774 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:43:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9794, loss_cls: 0.5626, loss: 0.5626 +2025-07-02 02:45:04,901 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:43:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 02:45:19,986 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:43:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9881, loss_cls: 0.6040, loss: 0.6040 +2025-07-02 02:45:35,006 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:42:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 0.5372, loss: 0.5372 +2025-07-02 02:45:49,963 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:42:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9819, loss_cls: 0.5953, loss: 0.5953 +2025-07-02 02:46:02,225 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 02:46:25,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:46:25,510 - pyskl - INFO - +top1_acc 0.8595 +top5_acc 0.9871 +2025-07-02 02:46:25,510 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8595, top5_acc: 0.9871 +2025-07-02 02:47:02,381 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:42:50, time: 0.369, data_time: 0.219, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5186, loss: 0.5186 +2025-07-02 02:47:17,300 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:42:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5399, loss: 0.5399 +2025-07-02 02:47:32,218 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:42:06, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5633, loss: 0.5633 +2025-07-02 02:47:47,259 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:41:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5258, loss: 0.5258 +2025-07-02 02:48:02,116 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:41:23, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5641, loss: 0.5641 +2025-07-02 02:48:16,998 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:41:01, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.5832, loss: 0.5832 +2025-07-02 02:48:31,947 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:40:40, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5451, loss: 0.5451 +2025-07-02 02:48:46,887 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:40:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.5954, loss: 0.5954 +2025-07-02 02:49:01,786 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:39:56, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6175, loss: 0.6175 +2025-07-02 02:49:16,700 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:39:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9838, loss_cls: 0.5939, loss: 0.5939 +2025-07-02 02:49:31,604 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:39:13, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 0.5358, loss: 0.5358 +2025-07-02 02:49:43,832 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 02:50:07,288 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:50:07,299 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9922 +2025-07-02 02:50:07,299 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8854, top5_acc: 0.9922 +2025-07-02 02:50:44,249 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:39:35, time: 0.369, data_time: 0.219, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9838, loss_cls: 0.5426, loss: 0.5426 +2025-07-02 02:50:59,112 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:39:13, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5730, loss: 0.5730 +2025-07-02 02:51:14,018 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:38:52, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9806, loss_cls: 0.5394, loss: 0.5394 +2025-07-02 02:51:28,882 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:38:30, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9825, loss_cls: 0.5536, loss: 0.5536 +2025-07-02 02:51:43,821 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:38:08, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9944, loss_cls: 0.5130, loss: 0.5130 +2025-07-02 02:51:58,885 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:37:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 02:52:13,929 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:37:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 0.5309, loss: 0.5309 +2025-07-02 02:52:28,948 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:37:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5063, loss: 0.5063 +2025-07-02 02:52:43,972 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:36:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9894, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 02:52:58,979 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:36:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5092, loss: 0.5092 +2025-07-02 02:53:13,900 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:36:04, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9825, loss_cls: 0.5889, loss: 0.5889 +2025-07-02 02:53:26,130 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 02:53:49,628 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:53:49,638 - pyskl - INFO - +top1_acc 0.8510 +top5_acc 0.9871 +2025-07-02 02:53:49,639 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8510, top5_acc: 0.9871 +2025-07-02 02:54:26,599 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:36:23, time: 0.370, data_time: 0.219, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 02:54:41,617 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:36:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5356, loss: 0.5356 +2025-07-02 02:54:56,818 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:35:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.5139, loss: 0.5139 +2025-07-02 02:55:11,846 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:35:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 02:55:26,830 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:35:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 0.4932, loss: 0.4932 +2025-07-02 02:55:41,882 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:34:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 02:55:57,096 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:34:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.4682, loss: 0.4682 +2025-07-02 02:56:12,198 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:34:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 0.5780, loss: 0.5780 +2025-07-02 02:56:27,187 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:33:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 02:56:42,291 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:33:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 0.5517, loss: 0.5517 +2025-07-02 02:56:57,308 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:33:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 0.5102, loss: 0.5102 +2025-07-02 02:57:09,652 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 02:57:33,487 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:57:33,498 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9930 +2025-07-02 02:57:33,502 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_16.pth was removed +2025-07-02 02:57:33,618 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 02:57:33,618 - pyskl - INFO - Best top1_acc is 0.8964 at 24 epoch. +2025-07-02 02:57:33,619 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8964, top5_acc: 0.9930 +2025-07-02 02:58:10,386 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:33:16, time: 0.368, data_time: 0.217, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5196, loss: 0.5196 +2025-07-02 02:58:25,638 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:32:57, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5253, loss: 0.5253 +2025-07-02 02:58:40,590 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:32:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.5923, loss: 0.5923 +2025-07-02 02:58:55,479 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:32:15, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.4656, loss: 0.4656 +2025-07-02 02:59:10,395 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:31:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.5320, loss: 0.5320 +2025-07-02 02:59:25,466 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:31:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9856, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 02:59:40,459 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:31:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 02:59:55,499 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:30:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.4900, loss: 0.4900 +2025-07-02 03:00:10,452 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:30:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9819, loss_cls: 0.6079, loss: 0.6079 +2025-07-02 03:00:25,404 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:30:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5076, loss: 0.5076 +2025-07-02 03:00:40,372 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:29:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.4954, loss: 0.4954 +2025-07-02 03:00:52,682 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 03:01:16,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:01:16,275 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9959 +2025-07-02 03:01:16,276 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8846, top5_acc: 0.9959 +2025-07-02 03:01:53,317 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:30:07, time: 0.370, data_time: 0.220, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5481, loss: 0.5481 +2025-07-02 03:02:08,372 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:29:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4511, loss: 0.4511 +2025-07-02 03:02:23,436 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:29:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5153, loss: 0.5153 +2025-07-02 03:02:38,489 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:29:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 03:02:53,514 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:28:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5292, loss: 0.5292 +2025-07-02 03:03:08,680 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:28:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.4814, loss: 0.4814 +2025-07-02 03:03:23,860 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:28:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5196, loss: 0.5196 +2025-07-02 03:03:38,844 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:27:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 0.5482, loss: 0.5482 +2025-07-02 03:03:53,770 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:27:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5088, loss: 0.5088 +2025-07-02 03:04:08,674 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:27:06, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9831, loss_cls: 0.5417, loss: 0.5417 +2025-07-02 03:04:23,687 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:26:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9838, loss_cls: 0.5483, loss: 0.5483 +2025-07-02 03:04:36,044 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 03:04:59,405 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:04:59,415 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9911 +2025-07-02 03:04:59,416 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8964, top5_acc: 0.9911 +2025-07-02 03:05:36,284 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:26:59, time: 0.369, data_time: 0.217, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9812, loss_cls: 0.5563, loss: 0.5563 +2025-07-02 03:05:51,508 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:26:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4426, loss: 0.4426 +2025-07-02 03:06:06,521 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:26:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 03:06:21,528 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:25:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.4914, loss: 0.4914 +2025-07-02 03:06:36,511 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:25:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4968, loss: 0.4968 +2025-07-02 03:06:51,529 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:25:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 0.5314, loss: 0.5314 +2025-07-02 03:07:06,676 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:25:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5115, loss: 0.5115 +2025-07-02 03:07:21,622 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:24:40, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.5701, loss: 0.5701 +2025-07-02 03:07:36,572 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:24:19, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9056, top5_acc: 0.9875, loss_cls: 0.4991, loss: 0.4991 +2025-07-02 03:07:51,497 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:23:59, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 03:08:06,431 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:23:39, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5449, loss: 0.5449 +2025-07-02 03:08:18,703 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 03:08:41,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:08:41,769 - pyskl - INFO - +top1_acc 0.8935 +top5_acc 0.9889 +2025-07-02 03:08:41,769 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8935, top5_acc: 0.9889 +2025-07-02 03:09:19,062 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:23:52, time: 0.373, data_time: 0.220, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.5012, loss: 0.5012 +2025-07-02 03:09:34,204 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:23:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 03:09:49,353 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:23:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9856, loss_cls: 0.4658, loss: 0.4658 +2025-07-02 03:10:04,581 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:22:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5273, loss: 0.5273 +2025-07-02 03:10:19,868 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:22:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 0.5631, loss: 0.5631 +2025-07-02 03:10:34,959 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:22:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.4937, loss: 0.4937 +2025-07-02 03:10:50,197 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:21:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.5341, loss: 0.5341 +2025-07-02 03:11:05,321 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:21:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 03:11:20,414 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:21:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 03:11:35,482 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:20:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5235, loss: 0.5235 +2025-07-02 03:11:50,581 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:20:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4510, loss: 0.4510 +2025-07-02 03:12:02,948 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 03:12:25,870 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:12:25,880 - pyskl - INFO - +top1_acc 0.8839 +top5_acc 0.9926 +2025-07-02 03:12:25,880 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8839, top5_acc: 0.9926 +2025-07-02 03:13:02,536 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:20:48, time: 0.367, data_time: 0.216, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.4656, loss: 0.4656 +2025-07-02 03:13:17,569 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:20:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 0.4656, loss: 0.4656 +2025-07-02 03:13:32,707 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:20:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 0.5377, loss: 0.5377 +2025-07-02 03:13:47,616 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:19:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5170, loss: 0.5170 +2025-07-02 03:14:02,473 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:19:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.4878, loss: 0.4878 +2025-07-02 03:14:17,443 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:19:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9819, loss_cls: 0.5511, loss: 0.5511 +2025-07-02 03:14:32,514 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:18:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5163, loss: 0.5163 +2025-07-02 03:14:47,555 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:18:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5258, loss: 0.5258 +2025-07-02 03:15:02,563 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:18:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4517, loss: 0.4517 +2025-07-02 03:15:17,527 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:17:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4793, loss: 0.4793 +2025-07-02 03:15:32,485 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:17:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9925, loss_cls: 0.5076, loss: 0.5076 +2025-07-02 03:15:44,720 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 03:16:07,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:16:07,690 - pyskl - INFO - +top1_acc 0.9079 +top5_acc 0.9926 +2025-07-02 03:16:07,694 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_24.pth was removed +2025-07-02 03:16:07,810 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-07-02 03:16:07,811 - pyskl - INFO - Best top1_acc is 0.9079 at 29 epoch. +2025-07-02 03:16:07,811 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.9079, top5_acc: 0.9926 +2025-07-02 03:16:45,081 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:17:39, time: 0.373, data_time: 0.217, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 03:17:00,630 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:17:22, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5394, loss: 0.5394 +2025-07-02 03:17:16,205 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:17:05, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4548, loss: 0.4548 +2025-07-02 03:17:31,674 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:16:47, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 0.5013, loss: 0.5013 +2025-07-02 03:17:47,247 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:16:30, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 03:18:02,858 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:16:13, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 0.5884, loss: 0.5884 +2025-07-02 03:18:18,526 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:15:56, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.4763, loss: 0.4763 +2025-07-02 03:18:34,248 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:15:39, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.4974, loss: 0.4974 +2025-07-02 03:18:49,940 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:15:22, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.4833, loss: 0.4833 +2025-07-02 03:19:05,532 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:15:05, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 0.4465, loss: 0.4465 +2025-07-02 03:19:21,139 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:14:48, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.4991, loss: 0.4991 +2025-07-02 03:19:33,984 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 03:19:56,988 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:19:56,998 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9904 +2025-07-02 03:19:56,999 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8891, top5_acc: 0.9904 +2025-07-02 03:20:34,731 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:14:57, time: 0.377, data_time: 0.220, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.5143, loss: 0.5143 +2025-07-02 03:20:50,482 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:14:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5478, loss: 0.5478 +2025-07-02 03:21:06,070 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:14:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 0.6357, loss: 0.6357 +2025-07-02 03:21:21,559 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:14:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 0.5081, loss: 0.5081 +2025-07-02 03:21:37,295 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:13:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5224, loss: 0.5224 +2025-07-02 03:21:52,900 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:13:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5182, loss: 0.5182 +2025-07-02 03:22:08,531 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:13:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.5529, loss: 0.5529 +2025-07-02 03:22:24,087 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:12:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.5049, loss: 0.5049 +2025-07-02 03:22:39,625 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:12:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 03:22:55,155 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:12:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9906, loss_cls: 0.5707, loss: 0.5707 +2025-07-02 03:23:10,652 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:12:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5491, loss: 0.5491 +2025-07-02 03:23:23,316 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 03:23:46,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:23:46,316 - pyskl - INFO - +top1_acc 0.8565 +top5_acc 0.9859 +2025-07-02 03:23:46,316 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8565, top5_acc: 0.9859 +2025-07-02 03:24:24,015 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:12:13, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9938, loss_cls: 0.4950, loss: 0.4950 +2025-07-02 03:24:39,466 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:11:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9919, loss_cls: 0.5384, loss: 0.5384 +2025-07-02 03:24:54,871 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:11:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 0.5147, loss: 0.5147 +2025-07-02 03:25:10,348 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:11:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5448, loss: 0.5448 +2025-07-02 03:25:25,889 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:11:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5581, loss: 0.5581 +2025-07-02 03:25:41,468 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:10:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5380, loss: 0.5380 +2025-07-02 03:25:57,124 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:10:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.5649, loss: 0.5649 +2025-07-02 03:26:12,710 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:10:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 03:26:28,211 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:09:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 0.5177, loss: 0.5177 +2025-07-02 03:26:43,580 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:09:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6190, loss: 0.6190 +2025-07-02 03:26:58,909 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:09:16, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5163, loss: 0.5163 +2025-07-02 03:27:11,427 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 03:27:33,947 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:27:33,958 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9904 +2025-07-02 03:27:33,958 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.9042, top5_acc: 0.9904 +2025-07-02 03:28:11,078 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:09:20, time: 0.371, data_time: 0.214, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 03:28:26,664 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:09:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.5091, loss: 0.5091 +2025-07-02 03:28:42,231 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:08:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9825, loss_cls: 0.5187, loss: 0.5187 +2025-07-02 03:28:57,692 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:08:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 0.5285, loss: 0.5285 +2025-07-02 03:29:13,283 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:08:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.5232, loss: 0.5232 +2025-07-02 03:29:28,781 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:07:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9862, loss_cls: 0.4712, loss: 0.4712 +2025-07-02 03:29:44,411 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:07:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5251, loss: 0.5251 +2025-07-02 03:30:00,066 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:07:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4992, loss: 0.4992 +2025-07-02 03:30:15,888 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:07:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5101, loss: 0.5101 +2025-07-02 03:30:31,433 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:06:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5321, loss: 0.5321 +2025-07-02 03:30:46,953 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:06:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.4983, loss: 0.4983 +2025-07-02 03:30:59,558 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 03:31:22,708 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:31:22,718 - pyskl - INFO - +top1_acc 0.8813 +top5_acc 0.9941 +2025-07-02 03:31:22,718 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8813, top5_acc: 0.9941 +2025-07-02 03:32:00,134 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:06:31, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4456, loss: 0.4456 +2025-07-02 03:32:15,581 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:06:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4663, loss: 0.4663 +2025-07-02 03:32:30,927 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:05:55, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.4712, loss: 0.4712 +2025-07-02 03:32:46,224 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:05:37, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5083, loss: 0.5083 +2025-07-02 03:33:01,782 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:05:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5117, loss: 0.5117 +2025-07-02 03:33:17,364 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:05:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 0.5576, loss: 0.5576 +2025-07-02 03:33:32,908 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:04:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9938, loss_cls: 0.5374, loss: 0.5374 +2025-07-02 03:33:48,418 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:04:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4640, loss: 0.4640 +2025-07-02 03:34:03,885 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:04:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4678, loss: 0.4678 +2025-07-02 03:34:19,342 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:03:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 03:34:34,774 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:03:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4721, loss: 0.4721 +2025-07-02 03:34:47,346 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 03:35:09,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:35:09,905 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9911 +2025-07-02 03:35:09,905 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8979, top5_acc: 0.9911 +2025-07-02 03:35:47,149 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:03:36, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5389, loss: 0.5389 +2025-07-02 03:36:02,715 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:03:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4707, loss: 0.4707 +2025-07-02 03:36:18,239 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:03:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.4771, loss: 0.4771 +2025-07-02 03:36:33,786 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:02:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 03:36:49,407 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:02:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4822, loss: 0.4822 +2025-07-02 03:37:04,918 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:02:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4997, loss: 0.4997 +2025-07-02 03:37:20,491 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:01:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9862, loss_cls: 0.5165, loss: 0.5165 +2025-07-02 03:37:36,054 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:01:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 0.5307, loss: 0.5307 +2025-07-02 03:37:51,548 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:01:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5170, loss: 0.5170 +2025-07-02 03:38:07,005 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:00:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9856, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 03:38:22,467 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:00:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5588, loss: 0.5588 +2025-07-02 03:38:35,122 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 03:38:58,041 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:38:58,051 - pyskl - INFO - +top1_acc 0.8809 +top5_acc 0.9937 +2025-07-02 03:38:58,051 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8809, top5_acc: 0.9937 +2025-07-02 03:39:35,509 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:00:43, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9862, loss_cls: 0.4603, loss: 0.4603 +2025-07-02 03:39:50,971 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:00:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9881, loss_cls: 0.4150, loss: 0.4150 +2025-07-02 03:40:06,369 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:00:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 0.4555, loss: 0.4555 +2025-07-02 03:40:21,854 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 5:59:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.4553, loss: 0.4553 +2025-07-02 03:40:37,599 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 5:59:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5859, loss: 0.5859 +2025-07-02 03:40:53,331 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 5:59:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.5013, loss: 0.5013 +2025-07-02 03:41:08,853 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:58:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 03:41:24,349 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:58:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9875, loss_cls: 0.4767, loss: 0.4767 +2025-07-02 03:41:39,796 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:58:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 0.4482, loss: 0.4482 +2025-07-02 03:41:55,391 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:58:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5332, loss: 0.5332 +2025-07-02 03:42:10,844 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:57:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9944, loss_cls: 0.5066, loss: 0.5066 +2025-07-02 03:42:23,449 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 03:42:45,863 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:42:45,873 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9959 +2025-07-02 03:42:45,876 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_29.pth was removed +2025-07-02 03:42:45,987 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. +2025-07-02 03:42:45,988 - pyskl - INFO - Best top1_acc is 0.9312 at 36 epoch. +2025-07-02 03:42:45,989 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.9312, top5_acc: 0.9959 +2025-07-02 03:43:23,335 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:57:48, time: 0.373, data_time: 0.217, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4894, loss: 0.4894 +2025-07-02 03:43:38,829 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:57:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4338, loss: 0.4338 +2025-07-02 03:43:54,255 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:57:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5082, loss: 0.5082 +2025-07-02 03:44:09,938 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:56:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 03:44:25,750 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:56:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 03:44:41,485 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:56:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 03:44:57,168 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:56:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4408, loss: 0.4408 +2025-07-02 03:45:12,653 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:55:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.5021, loss: 0.5021 +2025-07-02 03:45:28,023 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:55:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9862, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 03:45:43,426 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:55:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4880, loss: 0.4880 +2025-07-02 03:45:58,827 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:54:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4568, loss: 0.4568 +2025-07-02 03:46:11,333 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 03:46:34,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:46:34,183 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9941 +2025-07-02 03:46:34,184 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.9068, top5_acc: 0.9941 +2025-07-02 03:47:11,598 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:54:53, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4499, loss: 0.4499 +2025-07-02 03:47:27,174 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:54:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4713, loss: 0.4713 +2025-07-02 03:47:42,747 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:54:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5212, loss: 0.5212 +2025-07-02 03:47:58,445 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:54:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4947, loss: 0.4947 +2025-07-02 03:48:14,129 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:53:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 03:48:29,935 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:53:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5150, loss: 0.5150 +2025-07-02 03:48:45,617 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:53:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9869, loss_cls: 0.4808, loss: 0.4808 +2025-07-02 03:49:01,158 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:52:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 0.4427, loss: 0.4427 +2025-07-02 03:49:16,636 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:52:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9938, loss_cls: 0.4910, loss: 0.4910 +2025-07-02 03:49:32,153 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:52:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 03:49:47,631 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:52:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4396, loss: 0.4396 +2025-07-02 03:50:00,311 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 03:50:23,368 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:50:23,379 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9919 +2025-07-02 03:50:23,381 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8854, top5_acc: 0.9919 +2025-07-02 03:51:01,283 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:52:00, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5193, loss: 0.5193 +2025-07-02 03:51:16,736 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:51:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9956, loss_cls: 0.4615, loss: 0.4615 +2025-07-02 03:51:32,207 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:51:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4513, loss: 0.4513 +2025-07-02 03:51:47,690 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:51:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.5268, loss: 0.5268 +2025-07-02 03:52:03,181 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:50:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5571, loss: 0.5571 +2025-07-02 03:52:18,806 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:50:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4644, loss: 0.4644 +2025-07-02 03:52:34,312 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:50:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9856, loss_cls: 0.4988, loss: 0.4988 +2025-07-02 03:52:49,761 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:49:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.4720, loss: 0.4720 +2025-07-02 03:53:05,142 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:49:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9869, loss_cls: 0.4759, loss: 0.4759 +2025-07-02 03:53:20,624 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:49:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5216, loss: 0.5216 +2025-07-02 03:53:36,121 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:49:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4824, loss: 0.4824 +2025-07-02 03:53:48,747 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 03:54:11,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:54:11,675 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9933 +2025-07-02 03:54:11,676 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.9186, top5_acc: 0.9933 +2025-07-02 03:54:49,467 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:49:02, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3679, loss: 0.3679 +2025-07-02 03:55:05,026 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:48:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5067, loss: 0.5067 +2025-07-02 03:55:20,594 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:48:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5051, loss: 0.5051 +2025-07-02 03:55:36,176 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:48:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4587, loss: 0.4587 +2025-07-02 03:55:51,827 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:47:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9875, loss_cls: 0.4762, loss: 0.4762 +2025-07-02 03:56:07,318 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:47:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 0.4499, loss: 0.4499 +2025-07-02 03:56:22,848 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:47:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4326, loss: 0.4326 +2025-07-02 03:56:38,412 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:47:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4822, loss: 0.4822 +2025-07-02 03:56:53,834 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:46:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5323, loss: 0.5323 +2025-07-02 03:57:09,235 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:46:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5747, loss: 0.5747 +2025-07-02 03:57:24,667 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:46:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 03:57:37,263 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 03:58:00,613 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:58:00,623 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9926 +2025-07-02 03:58:00,624 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.9005, top5_acc: 0.9926 +2025-07-02 03:58:38,406 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:46:05, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4484, loss: 0.4484 +2025-07-02 03:58:53,881 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:45:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9888, loss_cls: 0.4628, loss: 0.4628 +2025-07-02 03:59:09,314 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:45:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4388, loss: 0.4388 +2025-07-02 03:59:24,937 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:45:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4133, loss: 0.4133 +2025-07-02 03:59:40,830 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:44:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5036, loss: 0.5036 +2025-07-02 03:59:56,480 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:44:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5703, loss: 0.5703 +2025-07-02 04:00:11,996 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:44:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 0.5130, loss: 0.5130 +2025-07-02 04:00:27,454 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:44:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 0.4409, loss: 0.4409 +2025-07-02 04:00:42,821 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:43:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9875, loss_cls: 0.5266, loss: 0.5266 +2025-07-02 04:00:58,206 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:43:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 0.5038, loss: 0.5038 +2025-07-02 04:01:13,584 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:43:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9869, loss_cls: 0.4762, loss: 0.4762 +2025-07-02 04:01:26,174 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 04:01:49,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:01:49,542 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9922 +2025-07-02 04:01:49,542 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.9068, top5_acc: 0.9922 +2025-07-02 04:02:27,360 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:43:07, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4271, loss: 0.4271 +2025-07-02 04:02:42,844 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:42:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4532, loss: 0.4532 +2025-07-02 04:02:58,479 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:42:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.4877, loss: 0.4877 +2025-07-02 04:03:13,962 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:42:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4574, loss: 0.4574 +2025-07-02 04:03:29,461 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:41:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4547, loss: 0.4547 +2025-07-02 04:03:45,030 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:41:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4517, loss: 0.4517 +2025-07-02 04:04:00,518 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:41:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4383, loss: 0.4383 +2025-07-02 04:04:16,061 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:41:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.4829, loss: 0.4829 +2025-07-02 04:04:31,606 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:40:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4663, loss: 0.4663 +2025-07-02 04:04:47,155 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:40:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5106, loss: 0.5106 +2025-07-02 04:05:02,699 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:40:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 0.4960, loss: 0.4960 +2025-07-02 04:05:15,368 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 04:05:38,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:05:38,583 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9926 +2025-07-02 04:05:38,584 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9131, top5_acc: 0.9926 +2025-07-02 04:06:16,535 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:40:09, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9938, loss_cls: 0.4838, loss: 0.4838 +2025-07-02 04:06:32,036 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:39:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3965, loss: 0.3965 +2025-07-02 04:06:47,689 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:39:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 04:07:03,254 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:39:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4154, loss: 0.4154 +2025-07-02 04:07:18,911 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:39:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.4978, loss: 0.4978 +2025-07-02 04:07:34,522 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:38:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4853, loss: 0.4853 +2025-07-02 04:07:50,113 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:38:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9944, loss_cls: 0.4740, loss: 0.4740 +2025-07-02 04:08:05,726 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:38:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5036, loss: 0.5036 +2025-07-02 04:08:21,229 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:37:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 04:08:36,727 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:37:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 04:08:52,235 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:37:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4568, loss: 0.4568 +2025-07-02 04:09:04,955 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 04:09:28,271 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:09:28,281 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9930 +2025-07-02 04:09:28,282 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8972, top5_acc: 0.9930 +2025-07-02 04:10:05,829 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:37:10, time: 0.375, data_time: 0.219, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4647, loss: 0.4647 +2025-07-02 04:10:21,244 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:36:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4601, loss: 0.4601 +2025-07-02 04:10:37,022 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:36:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4514, loss: 0.4514 +2025-07-02 04:10:52,593 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:36:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 0.4748, loss: 0.4748 +2025-07-02 04:11:08,248 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:36:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4529, loss: 0.4529 +2025-07-02 04:11:23,763 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:35:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 04:11:39,217 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:35:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 0.4775, loss: 0.4775 +2025-07-02 04:11:54,722 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:35:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.4531, loss: 0.4531 +2025-07-02 04:12:10,201 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:34:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5149, loss: 0.5149 +2025-07-02 04:12:25,678 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:34:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9856, loss_cls: 0.4778, loss: 0.4778 +2025-07-02 04:12:41,121 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:34:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4188, loss: 0.4188 +2025-07-02 04:12:53,733 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 04:13:17,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:13:17,182 - pyskl - INFO - +top1_acc 0.9061 +top5_acc 0.9911 +2025-07-02 04:13:17,182 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9061, top5_acc: 0.9911 +2025-07-02 04:13:55,016 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:34:10, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.3962, loss: 0.3962 +2025-07-02 04:14:10,574 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:33:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4283, loss: 0.4283 +2025-07-02 04:14:26,206 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:33:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4608, loss: 0.4608 +2025-07-02 04:14:41,662 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:33:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4701, loss: 0.4701 +2025-07-02 04:14:57,201 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:33:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4420, loss: 0.4420 +2025-07-02 04:15:12,738 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:32:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4285, loss: 0.4285 +2025-07-02 04:15:28,303 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:32:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.4931, loss: 0.4931 +2025-07-02 04:15:43,841 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:32:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4804, loss: 0.4804 +2025-07-02 04:15:59,291 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:31:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4264, loss: 0.4264 +2025-07-02 04:16:14,703 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:31:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4377, loss: 0.4377 +2025-07-02 04:16:30,184 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:31:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9862, loss_cls: 0.4688, loss: 0.4688 +2025-07-02 04:16:42,865 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 04:17:06,090 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:17:06,101 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9933 +2025-07-02 04:17:06,101 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.9153, top5_acc: 0.9933 +2025-07-02 04:17:43,556 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:31:08, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4371, loss: 0.4371 +2025-07-02 04:17:58,997 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:30:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4714, loss: 0.4714 +2025-07-02 04:18:14,715 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:30:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 04:18:30,176 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:30:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4299, loss: 0.4299 +2025-07-02 04:18:45,705 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:29:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4126, loss: 0.4126 +2025-07-02 04:19:01,135 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:29:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5106, loss: 0.5106 +2025-07-02 04:19:16,714 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:29:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4682, loss: 0.4682 +2025-07-02 04:19:32,326 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:29:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4811, loss: 0.4811 +2025-07-02 04:19:47,854 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:28:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 0.4193, loss: 0.4193 +2025-07-02 04:20:03,352 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:28:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.4986, loss: 0.4986 +2025-07-02 04:20:18,837 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:28:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4540, loss: 0.4540 +2025-07-02 04:20:31,660 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 04:20:54,906 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:20:54,916 - pyskl - INFO - +top1_acc 0.9246 +top5_acc 0.9948 +2025-07-02 04:20:54,917 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9246, top5_acc: 0.9948 +2025-07-02 04:21:32,582 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:28:07, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4595, loss: 0.4595 +2025-07-02 04:21:48,131 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:27:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4080, loss: 0.4080 +2025-07-02 04:22:03,860 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:27:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4418, loss: 0.4418 +2025-07-02 04:22:19,408 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:27:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 04:22:35,047 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:26:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4482, loss: 0.4482 +2025-07-02 04:22:50,655 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:26:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 0.4530, loss: 0.4530 +2025-07-02 04:23:06,269 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:26:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 04:23:21,835 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:26:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4286, loss: 0.4286 +2025-07-02 04:23:37,125 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:25:49, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.4696, loss: 0.4696 +2025-07-02 04:23:52,433 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:25:31, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9838, loss_cls: 0.4786, loss: 0.4786 +2025-07-02 04:24:07,782 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:25:14, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4173, loss: 0.4173 +2025-07-02 04:24:20,345 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 04:24:43,925 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:24:43,936 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9930 +2025-07-02 04:24:43,936 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.9131, top5_acc: 0.9930 +2025-07-02 04:25:21,971 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:25:06, time: 0.380, data_time: 0.223, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.3808, loss: 0.3808 +2025-07-02 04:25:37,339 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:24:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4016, loss: 0.4016 +2025-07-02 04:25:52,732 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:24:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.4126, loss: 0.4126 +2025-07-02 04:26:08,128 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:24:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 0.4085, loss: 0.4085 +2025-07-02 04:26:23,630 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:23:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.3981, loss: 0.3981 +2025-07-02 04:26:39,045 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:23:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4168, loss: 0.4168 +2025-07-02 04:26:54,598 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:23:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 0.5763, loss: 0.5763 +2025-07-02 04:27:10,078 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:23:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5077, loss: 0.5077 +2025-07-02 04:27:25,550 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:22:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4645, loss: 0.4645 +2025-07-02 04:27:41,005 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:22:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4443, loss: 0.4443 +2025-07-02 04:27:56,477 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:22:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3336, loss: 0.3336 +2025-07-02 04:28:09,211 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 04:28:32,703 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:28:32,713 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9948 +2025-07-02 04:28:32,714 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.9216, top5_acc: 0.9948 +2025-07-02 04:29:10,934 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:22:03, time: 0.382, data_time: 0.223, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 0.3764, loss: 0.3764 +2025-07-02 04:29:26,840 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:21:47, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.3902, loss: 0.3902 +2025-07-02 04:29:42,454 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:21:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4335, loss: 0.4335 +2025-07-02 04:29:58,152 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:21:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.3943, loss: 0.3943 +2025-07-02 04:30:13,921 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:20:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4554, loss: 0.4554 +2025-07-02 04:30:29,659 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:20:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4786, loss: 0.4786 +2025-07-02 04:30:45,291 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:20:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4546, loss: 0.4546 +2025-07-02 04:31:00,869 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:20:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4480, loss: 0.4480 +2025-07-02 04:31:16,430 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:19:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3690, loss: 0.3690 +2025-07-02 04:31:31,986 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:19:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 04:31:47,513 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:19:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4289, loss: 0.4289 +2025-07-02 04:32:00,251 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 04:32:23,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:32:23,556 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9948 +2025-07-02 04:32:23,556 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9064, top5_acc: 0.9948 +2025-07-02 04:33:01,664 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:19:04, time: 0.381, data_time: 0.223, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4053, loss: 0.4053 +2025-07-02 04:33:17,351 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:18:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 0.4854, loss: 0.4854 +2025-07-02 04:33:33,250 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:18:30, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4115, loss: 0.4115 +2025-07-02 04:33:49,150 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:18:14, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 0.3999, loss: 0.3999 +2025-07-02 04:34:04,810 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:17:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9906, loss_cls: 0.4063, loss: 0.4063 +2025-07-02 04:34:20,465 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:17:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.3964, loss: 0.3964 +2025-07-02 04:34:36,016 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:17:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4464, loss: 0.4464 +2025-07-02 04:34:51,625 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:17:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 04:35:07,167 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:16:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4339, loss: 0.4339 +2025-07-02 04:35:22,639 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:16:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3731, loss: 0.3731 +2025-07-02 04:35:38,129 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:16:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5120, loss: 0.5120 +2025-07-02 04:35:50,810 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 04:36:14,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:36:14,341 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9926 +2025-07-02 04:36:14,341 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8979, top5_acc: 0.9926 +2025-07-02 04:36:52,090 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:16:03, time: 0.377, data_time: 0.221, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 04:37:07,615 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:15:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3770, loss: 0.3770 +2025-07-02 04:37:23,160 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:15:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4323, loss: 0.4323 +2025-07-02 04:37:38,846 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:15:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4363, loss: 0.4363 +2025-07-02 04:37:54,339 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:14:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4398, loss: 0.4398 +2025-07-02 04:38:09,822 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:14:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3969, loss: 0.3969 +2025-07-02 04:38:25,391 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:14:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 04:38:40,976 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:14:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 0.4111, loss: 0.4111 +2025-07-02 04:38:56,403 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:13:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.4126, loss: 0.4126 +2025-07-02 04:39:11,722 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:13:28, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4614, loss: 0.4614 +2025-07-02 04:39:27,045 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:13:10, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9881, loss_cls: 0.4612, loss: 0.4612 +2025-07-02 04:39:39,633 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 04:40:03,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:40:03,216 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9952 +2025-07-02 04:40:03,216 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9172, top5_acc: 0.9952 +2025-07-02 04:40:41,452 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:13:00, time: 0.382, data_time: 0.225, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9925, loss_cls: 0.3018, loss: 0.3018 +2025-07-02 04:40:57,073 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:12:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 0.3863, loss: 0.3863 +2025-07-02 04:41:12,787 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:12:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 04:41:28,430 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:12:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4048, loss: 0.4048 +2025-07-02 04:41:43,977 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:11:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4404, loss: 0.4404 +2025-07-02 04:41:59,491 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:11:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4009, loss: 0.4009 +2025-07-02 04:42:15,149 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:11:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.3940, loss: 0.3940 +2025-07-02 04:42:30,764 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:11:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3706, loss: 0.3706 +2025-07-02 04:42:46,236 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:10:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4046, loss: 0.4046 +2025-07-02 04:43:01,729 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:10:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 04:43:17,253 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:10:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3905, loss: 0.3905 +2025-07-02 04:43:30,023 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 04:43:53,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:43:53,878 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9911 +2025-07-02 04:43:53,878 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9072, top5_acc: 0.9911 +2025-07-02 04:44:32,170 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:09:58, time: 0.383, data_time: 0.224, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 0.3932, loss: 0.3932 +2025-07-02 04:44:47,960 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:09:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.3809, loss: 0.3809 +2025-07-02 04:45:03,743 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:09:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3871, loss: 0.3871 +2025-07-02 04:45:19,305 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:09:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 04:45:34,995 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:08:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4280, loss: 0.4280 +2025-07-02 04:45:50,567 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:08:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 0.3884, loss: 0.3884 +2025-07-02 04:46:06,301 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:08:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4169, loss: 0.4169 +2025-07-02 04:46:22,041 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:07:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3681, loss: 0.3681 +2025-07-02 04:46:37,701 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:07:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3892, loss: 0.3892 +2025-07-02 04:46:53,362 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:07:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3859, loss: 0.3859 +2025-07-02 04:47:08,929 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:07:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5024, loss: 0.5024 +2025-07-02 04:47:21,731 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 04:47:45,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:47:45,412 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9948 +2025-07-02 04:47:45,413 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9068, top5_acc: 0.9948 +2025-07-02 04:48:23,636 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:06:57, time: 0.382, data_time: 0.222, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3741, loss: 0.3741 +2025-07-02 04:48:39,262 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:06:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3440, loss: 0.3440 +2025-07-02 04:48:55,013 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:06:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4119, loss: 0.4119 +2025-07-02 04:49:10,663 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:06:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.3933, loss: 0.3933 +2025-07-02 04:49:26,184 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:05:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9888, loss_cls: 0.4247, loss: 0.4247 +2025-07-02 04:49:41,825 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:05:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4356, loss: 0.4356 +2025-07-02 04:49:57,494 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:05:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9888, loss_cls: 0.4514, loss: 0.4514 +2025-07-02 04:50:13,058 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:04:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4277, loss: 0.4277 +2025-07-02 04:50:28,658 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:04:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 0.4573, loss: 0.4573 +2025-07-02 04:50:44,136 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:04:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9862, loss_cls: 0.4532, loss: 0.4532 +2025-07-02 04:50:59,617 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:04:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4223, loss: 0.4223 +2025-07-02 04:51:12,277 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 04:51:35,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:51:35,845 - pyskl - INFO - +top1_acc 0.9179 +top5_acc 0.9941 +2025-07-02 04:51:35,845 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.9179, top5_acc: 0.9941 +2025-07-02 04:52:13,917 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:03:54, time: 0.381, data_time: 0.222, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.4113, loss: 0.4113 +2025-07-02 04:52:29,464 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:03:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3634, loss: 0.3634 +2025-07-02 04:52:45,036 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:03:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 04:53:00,566 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:03:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3794, loss: 0.3794 +2025-07-02 04:53:16,071 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:02:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.3973, loss: 0.3973 +2025-07-02 04:53:31,528 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:02:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3719, loss: 0.3719 +2025-07-02 04:53:47,161 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:02:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3722, loss: 0.3722 +2025-07-02 04:54:02,694 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:01:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 0.4227, loss: 0.4227 +2025-07-02 04:54:18,285 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:01:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.3986, loss: 0.3986 +2025-07-02 04:54:33,764 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:01:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 04:54:49,254 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:01:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4381, loss: 0.4381 +2025-07-02 04:55:01,947 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 04:55:25,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:55:25,288 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9826 +2025-07-02 04:55:25,289 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.8846, top5_acc: 0.9826 +2025-07-02 04:56:02,030 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:00:47, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3605, loss: 0.3605 +2025-07-02 04:56:17,625 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:00:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3674, loss: 0.3674 +2025-07-02 04:56:33,346 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:00:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3489, loss: 0.3489 +2025-07-02 04:56:48,798 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 4:59:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4103, loss: 0.4103 +2025-07-02 04:57:04,239 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 4:59:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4096, loss: 0.4096 +2025-07-02 04:57:19,829 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:59:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3529, loss: 0.3529 +2025-07-02 04:57:35,407 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:59:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4069, loss: 0.4069 +2025-07-02 04:57:50,909 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:58:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 04:58:06,307 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:58:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 0.4688, loss: 0.4688 +2025-07-02 04:58:21,672 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:58:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.3995, loss: 0.3995 +2025-07-02 04:58:37,058 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:57:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9888, loss_cls: 0.4078, loss: 0.4078 +2025-07-02 04:58:49,600 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 04:59:12,435 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:59:12,445 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9952 +2025-07-02 04:59:12,446 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9271, top5_acc: 0.9952 +2025-07-02 04:59:49,562 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:57:41, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4157, loss: 0.4157 +2025-07-02 05:00:05,088 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:57:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3507, loss: 0.3507 +2025-07-02 05:00:20,609 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:57:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.3763, loss: 0.3763 +2025-07-02 05:00:36,066 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:56:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 05:00:51,713 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:56:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.3943, loss: 0.3943 +2025-07-02 05:01:07,099 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:56:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4379, loss: 0.4379 +2025-07-02 05:01:22,780 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:55:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9900, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 05:01:38,432 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:55:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 05:01:53,886 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:55:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 05:02:09,515 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:55:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4111, loss: 0.4111 +2025-07-02 05:02:25,159 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:54:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4026, loss: 0.4026 +2025-07-02 05:02:37,879 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 05:03:00,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:03:00,345 - pyskl - INFO - +top1_acc 0.9027 +top5_acc 0.9937 +2025-07-02 05:03:00,345 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.9027, top5_acc: 0.9937 +2025-07-02 05:03:37,056 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:54:34, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4023, loss: 0.4023 +2025-07-02 05:03:52,572 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:54:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3414, loss: 0.3414 +2025-07-02 05:04:08,173 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:54:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3715, loss: 0.3715 +2025-07-02 05:04:23,775 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:53:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.3890, loss: 0.3890 +2025-07-02 05:04:39,304 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:53:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.3842, loss: 0.3842 +2025-07-02 05:04:54,827 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:53:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 0.4063, loss: 0.4063 +2025-07-02 05:05:10,423 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:52:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4072, loss: 0.4072 +2025-07-02 05:05:25,816 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:52:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3493, loss: 0.3493 +2025-07-02 05:05:41,206 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:52:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3583, loss: 0.3583 +2025-07-02 05:05:56,589 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:51:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9875, loss_cls: 0.4462, loss: 0.4462 +2025-07-02 05:06:11,936 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:51:42, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 0.4214, loss: 0.4214 +2025-07-02 05:06:24,505 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 05:06:46,979 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:06:46,989 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9948 +2025-07-02 05:06:46,990 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9149, top5_acc: 0.9948 +2025-07-02 05:07:23,375 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:51:25, time: 0.364, data_time: 0.207, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3851, loss: 0.3851 +2025-07-02 05:07:38,870 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:51:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4352, loss: 0.4352 +2025-07-02 05:07:54,470 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:50:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3741, loss: 0.3741 +2025-07-02 05:08:09,949 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:50:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 05:08:25,473 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:50:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3815, loss: 0.3815 +2025-07-02 05:08:40,928 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:50:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3315, loss: 0.3315 +2025-07-02 05:08:56,593 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:49:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4138, loss: 0.4138 +2025-07-02 05:09:12,218 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:49:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9919, loss_cls: 0.3396, loss: 0.3396 +2025-07-02 05:09:27,844 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:49:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9869, loss_cls: 0.4032, loss: 0.4032 +2025-07-02 05:09:43,274 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:48:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4160, loss: 0.4160 +2025-07-02 05:09:58,704 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:48:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3605, loss: 0.3605 +2025-07-02 05:10:11,298 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 05:10:34,315 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:10:34,325 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9933 +2025-07-02 05:10:34,325 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9234, top5_acc: 0.9933 +2025-07-02 05:11:10,691 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:48:17, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4174, loss: 0.4174 +2025-07-02 05:11:26,126 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:48:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3492, loss: 0.3492 +2025-07-02 05:11:41,594 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:47:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4270, loss: 0.4270 +2025-07-02 05:11:57,094 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:47:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 05:12:12,635 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:47:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3461, loss: 0.3461 +2025-07-02 05:12:28,087 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:46:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9894, loss_cls: 0.3712, loss: 0.3712 +2025-07-02 05:12:43,623 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:46:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.3891, loss: 0.3891 +2025-07-02 05:12:59,141 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:46:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 05:13:14,637 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:46:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.4168, loss: 0.4168 +2025-07-02 05:13:30,040 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:45:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4406, loss: 0.4406 +2025-07-02 05:13:45,472 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:45:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.3964, loss: 0.3964 +2025-07-02 05:13:58,040 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 05:14:20,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:14:20,409 - pyskl - INFO - +top1_acc 0.8317 +top5_acc 0.9771 +2025-07-02 05:14:20,409 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.8317, top5_acc: 0.9771 +2025-07-02 05:14:57,018 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:45:09, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3502, loss: 0.3502 +2025-07-02 05:15:12,503 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:44:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4037, loss: 0.4037 +2025-07-02 05:15:27,919 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:44:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.3970, loss: 0.3970 +2025-07-02 05:15:43,371 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:44:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 05:15:58,814 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:44:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 05:16:14,274 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:43:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3589, loss: 0.3589 +2025-07-02 05:16:29,744 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:43:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3633, loss: 0.3633 +2025-07-02 05:16:45,361 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:43:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9900, loss_cls: 0.4285, loss: 0.4285 +2025-07-02 05:17:00,840 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3469, loss: 0.3469 +2025-07-02 05:17:16,338 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:42:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.3967, loss: 0.3967 +2025-07-02 05:17:31,608 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:42:17, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3565, loss: 0.3565 +2025-07-02 05:17:44,208 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 05:18:06,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:18:06,762 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9945 +2025-07-02 05:18:06,762 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9172, top5_acc: 0.9945 +2025-07-02 05:18:43,183 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:41:59, time: 0.364, data_time: 0.207, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3489, loss: 0.3489 +2025-07-02 05:18:58,590 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:41:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3410, loss: 0.3410 +2025-07-02 05:19:13,991 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:41:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3310, loss: 0.3310 +2025-07-02 05:19:29,459 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:41:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.3890, loss: 0.3890 +2025-07-02 05:19:45,021 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:40:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3475, loss: 0.3475 +2025-07-02 05:20:00,422 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:40:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3517, loss: 0.3517 +2025-07-02 05:20:15,850 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:40:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.4250, loss: 0.4250 +2025-07-02 05:20:31,699 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:40:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9900, loss_cls: 0.3999, loss: 0.3999 +2025-07-02 05:20:47,270 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:39:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4097, loss: 0.4097 +2025-07-02 05:21:02,745 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:39:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3032, loss: 0.3032 +2025-07-02 05:21:18,117 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:39:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3497, loss: 0.3497 +2025-07-02 05:21:30,634 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 05:21:53,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:21:53,187 - pyskl - INFO - +top1_acc 0.9290 +top5_acc 0.9970 +2025-07-02 05:21:53,188 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9290, top5_acc: 0.9970 +2025-07-02 05:22:29,643 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:38:51, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3238, loss: 0.3238 +2025-07-02 05:22:45,089 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:38:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3170, loss: 0.3170 +2025-07-02 05:23:00,582 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:38:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3498, loss: 0.3498 +2025-07-02 05:23:16,103 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:37:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9912, loss_cls: 0.3451, loss: 0.3451 +2025-07-02 05:23:31,652 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:37:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 0.3230, loss: 0.3230 +2025-07-02 05:23:47,194 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:37:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3402, loss: 0.3402 +2025-07-02 05:24:02,757 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:37:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 05:24:18,251 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:36:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.3714, loss: 0.3714 +2025-07-02 05:24:33,621 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:36:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3839, loss: 0.3839 +2025-07-02 05:24:48,984 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:36:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3685, loss: 0.3685 +2025-07-02 05:25:04,399 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:36:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3790, loss: 0.3790 +2025-07-02 05:25:16,930 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 05:25:39,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:25:39,222 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9937 +2025-07-02 05:25:39,222 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.9264, top5_acc: 0.9937 +2025-07-02 05:26:15,904 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:35:42, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3564, loss: 0.3564 +2025-07-02 05:26:31,377 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:35:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3658, loss: 0.3658 +2025-07-02 05:26:46,882 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:35:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9900, loss_cls: 0.3933, loss: 0.3933 +2025-07-02 05:27:02,312 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:34:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 0.3408, loss: 0.3408 +2025-07-02 05:27:17,815 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:34:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.3697, loss: 0.3697 +2025-07-02 05:27:33,254 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:34:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3925, loss: 0.3925 +2025-07-02 05:27:48,564 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:33:59, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3502, loss: 0.3502 +2025-07-02 05:28:03,968 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:33:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3216, loss: 0.3216 +2025-07-02 05:28:19,368 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:33:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3512, loss: 0.3512 +2025-07-02 05:28:34,962 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:33:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.3752, loss: 0.3752 +2025-07-02 05:28:50,521 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:32:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 0.3777, loss: 0.3777 +2025-07-02 05:29:03,282 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 05:29:25,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:29:25,801 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9970 +2025-07-02 05:29:25,801 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9301, top5_acc: 0.9970 +2025-07-02 05:30:02,231 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:32:33, time: 0.364, data_time: 0.208, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3245, loss: 0.3245 +2025-07-02 05:30:17,601 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:32:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3521, loss: 0.3521 +2025-07-02 05:30:32,938 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:31:58, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3399, loss: 0.3399 +2025-07-02 05:30:48,345 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:31:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3217, loss: 0.3217 +2025-07-02 05:31:03,878 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:31:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.3013, loss: 0.3013 +2025-07-02 05:31:19,376 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:31:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3783, loss: 0.3783 +2025-07-02 05:31:34,883 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:30:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 0.4450, loss: 0.4450 +2025-07-02 05:31:50,502 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:30:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3279, loss: 0.3279 +2025-07-02 05:32:05,863 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:30:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3940, loss: 0.3940 +2025-07-02 05:32:21,762 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:29:59, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3704, loss: 0.3704 +2025-07-02 05:32:37,385 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:29:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3372, loss: 0.3372 +2025-07-02 05:32:50,013 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 05:33:12,797 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:33:12,807 - pyskl - INFO - +top1_acc 0.9038 +top5_acc 0.9937 +2025-07-02 05:33:12,807 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9038, top5_acc: 0.9937 +2025-07-02 05:33:49,504 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:29:24, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3467, loss: 0.3467 +2025-07-02 05:34:04,957 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:29:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3486, loss: 0.3486 +2025-07-02 05:34:20,483 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:28:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3717, loss: 0.3717 +2025-07-02 05:34:36,043 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:28:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3764, loss: 0.3764 +2025-07-02 05:34:51,578 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:28:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 0.3393, loss: 0.3393 +2025-07-02 05:35:07,224 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:27:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3858, loss: 0.3858 +2025-07-02 05:35:22,810 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:27:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 05:35:38,423 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:27:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3471, loss: 0.3471 +2025-07-02 05:35:53,821 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:27:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3626, loss: 0.3626 +2025-07-02 05:36:09,580 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:26:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9894, loss_cls: 0.3471, loss: 0.3471 +2025-07-02 05:36:25,270 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:26:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.3625, loss: 0.3625 +2025-07-02 05:36:37,834 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 05:37:00,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:37:00,420 - pyskl - INFO - +top1_acc 0.9183 +top5_acc 0.9952 +2025-07-02 05:37:00,421 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9183, top5_acc: 0.9952 +2025-07-02 05:37:36,949 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:26:16, time: 0.365, data_time: 0.208, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3455, loss: 0.3455 +2025-07-02 05:37:52,327 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:25:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3434, loss: 0.3434 +2025-07-02 05:38:07,740 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:25:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 0.3979, loss: 0.3979 +2025-07-02 05:38:23,107 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:25:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9919, loss_cls: 0.3010, loss: 0.3010 +2025-07-02 05:38:38,483 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:25:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3449, loss: 0.3449 +2025-07-02 05:38:53,993 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:24:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3541, loss: 0.3541 +2025-07-02 05:39:09,469 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:24:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3539, loss: 0.3539 +2025-07-02 05:39:24,920 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:24:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3641, loss: 0.3641 +2025-07-02 05:39:40,419 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:24:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4011, loss: 0.4011 +2025-07-02 05:39:55,893 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:23:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3462, loss: 0.3462 +2025-07-02 05:40:11,412 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:23:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 05:40:23,999 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 05:40:46,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:40:46,513 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9941 +2025-07-02 05:40:46,517 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_36.pth was removed +2025-07-02 05:40:46,626 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. +2025-07-02 05:40:46,627 - pyskl - INFO - Best top1_acc is 0.9360 at 67 epoch. +2025-07-02 05:40:46,627 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9360, top5_acc: 0.9941 +2025-07-02 05:41:23,258 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:23:07, time: 0.366, data_time: 0.210, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 0.3364, loss: 0.3364 +2025-07-02 05:41:38,706 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:22:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2915, loss: 0.2915 +2025-07-02 05:41:54,220 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:22:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3314, loss: 0.3314 +2025-07-02 05:42:09,601 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:22:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 05:42:25,119 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:21:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 0.3275, loss: 0.3275 +2025-07-02 05:42:40,739 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:21:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2930, loss: 0.2930 +2025-07-02 05:42:56,327 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:21:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3835, loss: 0.3835 +2025-07-02 05:43:11,848 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:21:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3463, loss: 0.3463 +2025-07-02 05:43:27,344 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:20:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3409, loss: 0.3409 +2025-07-02 05:43:42,802 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:20:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3682, loss: 0.3682 +2025-07-02 05:43:58,295 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:20:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3503, loss: 0.3503 +2025-07-02 05:44:10,900 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 05:44:33,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:44:33,309 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9941 +2025-07-02 05:44:33,309 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9205, top5_acc: 0.9941 +2025-07-02 05:45:10,252 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:19:58, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3682, loss: 0.3682 +2025-07-02 05:45:25,720 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:19:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 05:45:41,246 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:19:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.3959, loss: 0.3959 +2025-07-02 05:45:56,727 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:19:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4013, loss: 0.4013 +2025-07-02 05:46:12,156 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:18:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3318, loss: 0.3318 +2025-07-02 05:46:27,585 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:18:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3102, loss: 0.3102 +2025-07-02 05:46:43,114 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:18:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3719, loss: 0.3719 +2025-07-02 05:46:58,648 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:17:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3610, loss: 0.3610 +2025-07-02 05:47:14,204 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:17:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3087, loss: 0.3087 +2025-07-02 05:47:29,684 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:17:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 05:47:45,135 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:17:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3212, loss: 0.3212 +2025-07-02 05:47:57,715 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 05:48:20,202 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:48:20,213 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9941 +2025-07-02 05:48:20,213 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9209, top5_acc: 0.9941 +2025-07-02 05:48:56,863 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:16:49, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 05:49:12,415 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:16:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3409, loss: 0.3409 +2025-07-02 05:49:27,981 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:16:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3278, loss: 0.3278 +2025-07-02 05:49:43,545 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:15:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 0.3033, loss: 0.3033 +2025-07-02 05:49:59,101 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:15:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3459, loss: 0.3459 +2025-07-02 05:50:14,725 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:15:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 05:50:30,342 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:15:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3169, loss: 0.3169 +2025-07-02 05:50:46,012 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:14:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9931, loss_cls: 0.2670, loss: 0.2670 +2025-07-02 05:51:01,607 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:14:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3282, loss: 0.3282 +2025-07-02 05:51:17,117 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:14:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3739, loss: 0.3739 +2025-07-02 05:51:32,534 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:14:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3261, loss: 0.3261 +2025-07-02 05:51:45,133 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 05:52:07,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:52:07,633 - pyskl - INFO - +top1_acc 0.9316 +top5_acc 0.9952 +2025-07-02 05:52:07,633 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9316, top5_acc: 0.9952 +2025-07-02 05:52:44,183 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:13:41, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3060, loss: 0.3060 +2025-07-02 05:52:59,734 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:13:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.3012, loss: 0.3012 +2025-07-02 05:53:15,289 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:13:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 0.3253, loss: 0.3253 +2025-07-02 05:53:30,760 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:12:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3111, loss: 0.3111 +2025-07-02 05:53:46,199 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:12:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2851, loss: 0.2851 +2025-07-02 05:54:01,758 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:12:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3099, loss: 0.3099 +2025-07-02 05:54:17,171 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:11:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3130, loss: 0.3130 +2025-07-02 05:54:32,693 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:11:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3247, loss: 0.3247 +2025-07-02 05:54:48,336 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:11:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3246, loss: 0.3246 +2025-07-02 05:55:03,757 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:11:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3028, loss: 0.3028 +2025-07-02 05:55:19,094 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:10:51, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3077, loss: 0.3077 +2025-07-02 05:55:31,539 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 05:55:53,979 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:55:53,990 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9948 +2025-07-02 05:55:53,994 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_67.pth was removed +2025-07-02 05:55:54,111 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. +2025-07-02 05:55:54,111 - pyskl - INFO - Best top1_acc is 0.9386 at 71 epoch. +2025-07-02 05:55:54,112 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9386, top5_acc: 0.9948 +2025-07-02 05:56:31,124 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:10:32, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3144, loss: 0.3144 +2025-07-02 05:56:46,681 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:10:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2762, loss: 0.2762 +2025-07-02 05:57:02,181 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:09:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3479, loss: 0.3479 +2025-07-02 05:57:17,622 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:09:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3449, loss: 0.3449 +2025-07-02 05:57:33,226 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:09:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3115, loss: 0.3115 +2025-07-02 05:57:48,816 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:09:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.2844, loss: 0.2844 +2025-07-02 05:58:04,524 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:08:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3684, loss: 0.3684 +2025-07-02 05:58:20,103 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:08:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.3076, loss: 0.3076 +2025-07-02 05:58:35,725 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:08:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.2980, loss: 0.2980 +2025-07-02 05:58:51,220 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:08:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 05:59:06,739 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:07:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3105, loss: 0.3105 +2025-07-02 05:59:19,304 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 05:59:41,981 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:59:41,992 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9948 +2025-07-02 05:59:41,992 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9264, top5_acc: 0.9948 +2025-07-02 06:00:18,813 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:07:23, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3106, loss: 0.3106 +2025-07-02 06:00:34,400 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:07:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3146, loss: 0.3146 +2025-07-02 06:00:49,940 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:06:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3262, loss: 0.3262 +2025-07-02 06:01:05,510 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:06:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.2949, loss: 0.2949 +2025-07-02 06:01:21,072 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:06:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3035, loss: 0.3035 +2025-07-02 06:01:36,627 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:05:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3426, loss: 0.3426 +2025-07-02 06:01:52,174 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:05:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3401, loss: 0.3401 +2025-07-02 06:02:07,625 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:05:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2697, loss: 0.2697 +2025-07-02 06:02:23,270 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:05:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3632, loss: 0.3632 +2025-07-02 06:02:38,916 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:04:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3418, loss: 0.3418 +2025-07-02 06:02:54,486 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:04:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2814, loss: 0.2814 +2025-07-02 06:03:07,154 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 06:03:29,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:03:29,691 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9908 +2025-07-02 06:03:29,691 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9264, top5_acc: 0.9908 +2025-07-02 06:04:06,106 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:04:15, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 06:04:21,563 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:03:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2890, loss: 0.2890 +2025-07-02 06:04:36,999 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:03:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2505, loss: 0.2505 +2025-07-02 06:04:52,581 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:03:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3183, loss: 0.3183 +2025-07-02 06:05:08,082 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:03:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.2951, loss: 0.2951 +2025-07-02 06:05:23,583 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:02:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3614, loss: 0.3614 +2025-07-02 06:05:39,160 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:02:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3474, loss: 0.3474 +2025-07-02 06:05:54,834 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:02:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2898, loss: 0.2898 +2025-07-02 06:06:10,461 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:02:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9919, loss_cls: 0.3345, loss: 0.3345 +2025-07-02 06:06:25,934 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:01:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 06:06:41,397 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:01:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 06:06:54,102 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 06:07:16,833 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:07:16,844 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9956 +2025-07-02 06:07:16,844 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9257, top5_acc: 0.9956 +2025-07-02 06:07:53,809 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:01:06, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2900, loss: 0.2900 +2025-07-02 06:08:09,415 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:00:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3174, loss: 0.3174 +2025-07-02 06:08:24,938 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:00:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2251, loss: 0.2251 +2025-07-02 06:08:40,365 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:00:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3280, loss: 0.3280 +2025-07-02 06:08:55,778 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 3:59:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.3047, loss: 0.3047 +2025-07-02 06:09:11,214 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 3:59:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3310, loss: 0.3310 +2025-07-02 06:09:26,892 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 3:59:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3739, loss: 0.3739 +2025-07-02 06:09:42,526 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:59:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 06:09:58,021 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:58:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.2958, loss: 0.2958 +2025-07-02 06:10:13,435 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:58:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9931, loss_cls: 0.3195, loss: 0.3195 +2025-07-02 06:10:28,937 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:58:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9912, loss_cls: 0.3003, loss: 0.3003 +2025-07-02 06:10:41,623 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 06:11:04,126 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:11:04,137 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9978 +2025-07-02 06:11:04,141 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_71.pth was removed +2025-07-02 06:11:04,261 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. +2025-07-02 06:11:04,261 - pyskl - INFO - Best top1_acc is 0.9438 at 75 epoch. +2025-07-02 06:11:04,262 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9438, top5_acc: 0.9978 +2025-07-02 06:11:41,619 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:57:57, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2614, loss: 0.2614 +2025-07-02 06:11:57,317 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:57:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2789, loss: 0.2789 +2025-07-02 06:12:12,846 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:57:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2701, loss: 0.2701 +2025-07-02 06:12:28,337 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:57:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2829, loss: 0.2829 +2025-07-02 06:12:43,805 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:56:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 06:12:59,225 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:56:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.3019, loss: 0.3019 +2025-07-02 06:13:14,704 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:56:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2829, loss: 0.2829 +2025-07-02 06:13:30,177 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:55:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.2732, loss: 0.2732 +2025-07-02 06:13:45,664 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:55:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.3018, loss: 0.3018 +2025-07-02 06:14:01,177 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:55:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3018, loss: 0.3018 +2025-07-02 06:14:16,724 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:55:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3240, loss: 0.3240 +2025-07-02 06:14:29,360 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 06:14:52,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:14:52,513 - pyskl - INFO - +top1_acc 0.9164 +top5_acc 0.9941 +2025-07-02 06:14:52,513 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9164, top5_acc: 0.9941 +2025-07-02 06:15:29,801 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:54:48, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2653, loss: 0.2653 +2025-07-02 06:15:45,297 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:54:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.3067, loss: 0.3067 +2025-07-02 06:16:00,859 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:54:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3003, loss: 0.3003 +2025-07-02 06:16:16,317 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:53:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2845, loss: 0.2845 +2025-07-02 06:16:31,787 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:53:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3132, loss: 0.3132 +2025-07-02 06:16:47,241 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:53:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3136, loss: 0.3136 +2025-07-02 06:17:02,661 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:53:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3103, loss: 0.3103 +2025-07-02 06:17:18,022 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:52:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.3056, loss: 0.3056 +2025-07-02 06:17:33,635 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:52:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.2479, loss: 0.2479 +2025-07-02 06:17:49,202 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:52:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9925, loss_cls: 0.2905, loss: 0.2905 +2025-07-02 06:18:05,053 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:52:00, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.3140, loss: 0.3140 +2025-07-02 06:18:17,750 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 06:18:41,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:18:41,205 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9948 +2025-07-02 06:18:41,205 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9386, top5_acc: 0.9948 +2025-07-02 06:19:18,528 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:51:40, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2798, loss: 0.2798 +2025-07-02 06:19:34,066 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:51:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2925, loss: 0.2925 +2025-07-02 06:19:49,567 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:51:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.2792, loss: 0.2792 +2025-07-02 06:20:05,090 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:50:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3083, loss: 0.3083 +2025-07-02 06:20:20,634 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:50:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2643, loss: 0.2643 +2025-07-02 06:20:36,134 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:50:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2759, loss: 0.2759 +2025-07-02 06:20:51,657 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:49:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.3094, loss: 0.3094 +2025-07-02 06:21:07,204 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:49:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9938, loss_cls: 0.2341, loss: 0.2341 +2025-07-02 06:21:22,859 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:49:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2420, loss: 0.2420 +2025-07-02 06:21:38,527 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:49:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3512, loss: 0.3512 +2025-07-02 06:21:54,151 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:48:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2583, loss: 0.2583 +2025-07-02 06:22:07,070 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 06:22:30,561 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:22:30,572 - pyskl - INFO - +top1_acc 0.9283 +top5_acc 0.9952 +2025-07-02 06:22:30,572 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9283, top5_acc: 0.9952 +2025-07-02 06:23:08,144 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:48:31, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.2863, loss: 0.2863 +2025-07-02 06:23:23,730 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:48:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9931, loss_cls: 0.2813, loss: 0.2813 +2025-07-02 06:23:39,304 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:47:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2520, loss: 0.2520 +2025-07-02 06:23:54,778 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:47:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9938, loss_cls: 0.2778, loss: 0.2778 +2025-07-02 06:24:10,262 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:47:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2381, loss: 0.2381 +2025-07-02 06:24:25,721 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:47:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2905, loss: 0.2905 +2025-07-02 06:24:41,184 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:46:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2599, loss: 0.2599 +2025-07-02 06:24:56,802 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:46:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.2857, loss: 0.2857 +2025-07-02 06:25:12,317 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2887, loss: 0.2887 +2025-07-02 06:25:27,844 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2561, loss: 0.2561 +2025-07-02 06:25:43,539 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:45:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.2812, loss: 0.2812 +2025-07-02 06:25:56,285 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 06:26:19,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:26:19,788 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9959 +2025-07-02 06:26:19,789 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9016, top5_acc: 0.9959 +2025-07-02 06:26:57,723 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:45:23, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2944, loss: 0.2944 +2025-07-02 06:27:13,396 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:45:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2692, loss: 0.2692 +2025-07-02 06:27:29,009 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:44:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.2925, loss: 0.2925 +2025-07-02 06:27:44,555 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:44:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2806, loss: 0.2806 +2025-07-02 06:28:00,044 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:44:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 0.2994, loss: 0.2994 +2025-07-02 06:28:15,557 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:43:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3150, loss: 0.3150 +2025-07-02 06:28:31,172 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:43:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2636, loss: 0.2636 +2025-07-02 06:28:46,765 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:43:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 06:29:02,344 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:43:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2729, loss: 0.2729 +2025-07-02 06:29:17,855 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2544, loss: 0.2544 +2025-07-02 06:29:33,304 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:42:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 06:29:45,879 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 06:30:09,056 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:30:09,066 - pyskl - INFO - +top1_acc 0.9183 +top5_acc 0.9952 +2025-07-02 06:30:09,067 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9183, top5_acc: 0.9952 +2025-07-02 06:30:46,959 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:42:15, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 06:31:02,557 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:41:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2579, loss: 0.2579 +2025-07-02 06:31:18,136 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:41:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3057, loss: 0.3057 +2025-07-02 06:31:33,638 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:41:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3373, loss: 0.3373 +2025-07-02 06:31:49,188 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:41:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2514, loss: 0.2514 +2025-07-02 06:32:04,643 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:40:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2627, loss: 0.2627 +2025-07-02 06:32:20,180 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:40:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2730, loss: 0.2730 +2025-07-02 06:32:35,856 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2856, loss: 0.2856 +2025-07-02 06:32:51,558 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 06:33:07,289 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:39:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2981, loss: 0.2981 +2025-07-02 06:33:22,870 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:39:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.3053, loss: 0.3053 +2025-07-02 06:33:35,650 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 06:33:59,353 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:33:59,363 - pyskl - INFO - +top1_acc 0.9342 +top5_acc 0.9945 +2025-07-02 06:33:59,364 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9342, top5_acc: 0.9945 +2025-07-02 06:34:36,750 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:06, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.2913, loss: 0.2913 +2025-07-02 06:34:52,227 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:38:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2636, loss: 0.2636 +2025-07-02 06:35:07,784 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:38:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.2925, loss: 0.2925 +2025-07-02 06:35:23,263 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:38:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2559, loss: 0.2559 +2025-07-02 06:35:38,732 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:37:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2374, loss: 0.2374 +2025-07-02 06:35:54,240 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:37:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2822, loss: 0.2822 +2025-07-02 06:36:09,794 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:37:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.2797, loss: 0.2797 +2025-07-02 06:36:25,338 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:37:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2941, loss: 0.2941 +2025-07-02 06:36:40,902 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:36:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2492, loss: 0.2492 +2025-07-02 06:36:56,432 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:36:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2566, loss: 0.2566 +2025-07-02 06:37:12,002 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2868, loss: 0.2868 +2025-07-02 06:37:24,646 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 06:37:48,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:37:48,138 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9963 +2025-07-02 06:37:48,138 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9371, top5_acc: 0.9963 +2025-07-02 06:38:26,032 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:35:57, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 0.3186, loss: 0.3186 +2025-07-02 06:38:41,652 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:35:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2561, loss: 0.2561 +2025-07-02 06:38:57,134 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:35:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2380, loss: 0.2380 +2025-07-02 06:39:12,605 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2387, loss: 0.2387 +2025-07-02 06:39:28,036 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:34:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2331, loss: 0.2331 +2025-07-02 06:39:43,917 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:34:34, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2557, loss: 0.2557 +2025-07-02 06:39:59,618 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2327, loss: 0.2327 +2025-07-02 06:40:15,161 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9944, loss_cls: 0.2539, loss: 0.2539 +2025-07-02 06:40:30,708 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:33:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.2853, loss: 0.2853 +2025-07-02 06:40:46,293 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:33:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9925, loss_cls: 0.2961, loss: 0.2961 +2025-07-02 06:41:01,881 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:33:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.2804, loss: 0.2804 +2025-07-02 06:41:14,615 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 06:41:37,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:41:37,896 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9959 +2025-07-02 06:41:37,897 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9379, top5_acc: 0.9959 +2025-07-02 06:42:15,572 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:32:49, time: 0.377, data_time: 0.220, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2496, loss: 0.2496 +2025-07-02 06:42:30,943 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:32:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2460, loss: 0.2460 +2025-07-02 06:42:46,337 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:32:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 06:43:01,744 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:31:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 06:43:17,184 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:31:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2712, loss: 0.2712 +2025-07-02 06:43:32,566 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:31:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.2908, loss: 0.2908 +2025-07-02 06:43:48,011 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 06:44:03,459 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:30:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3090, loss: 0.3090 +2025-07-02 06:44:18,954 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:30:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2582, loss: 0.2582 +2025-07-02 06:44:34,561 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2687, loss: 0.2687 +2025-07-02 06:44:50,044 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3258, loss: 0.3258 +2025-07-02 06:45:02,905 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 06:45:26,150 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:45:26,161 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9937 +2025-07-02 06:45:26,161 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9286, top5_acc: 0.9937 +2025-07-02 06:46:04,100 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:29:39, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2610, loss: 0.2610 +2025-07-02 06:46:19,588 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.2964, loss: 0.2964 +2025-07-02 06:46:34,978 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9944, loss_cls: 0.2432, loss: 0.2432 +2025-07-02 06:46:50,357 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:28:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.2729, loss: 0.2729 +2025-07-02 06:47:05,708 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:28:32, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2741, loss: 0.2741 +2025-07-02 06:47:21,025 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:15, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 06:47:36,406 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:27:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2476, loss: 0.2476 +2025-07-02 06:47:51,972 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:27:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2223, loss: 0.2223 +2025-07-02 06:48:07,572 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:27:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3039, loss: 0.3039 +2025-07-02 06:48:23,086 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2199, loss: 0.2199 +2025-07-02 06:48:38,598 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:26:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2621, loss: 0.2621 +2025-07-02 06:48:51,493 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 06:49:14,845 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:49:14,855 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9948 +2025-07-02 06:49:14,856 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9338, top5_acc: 0.9948 +2025-07-02 06:49:52,749 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:26:29, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 0.2069, loss: 0.2069 +2025-07-02 06:50:08,410 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:26:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2476, loss: 0.2476 +2025-07-02 06:50:23,880 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:25:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2391, loss: 0.2391 +2025-07-02 06:50:39,287 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:25:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2290, loss: 0.2290 +2025-07-02 06:50:54,640 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2113, loss: 0.2113 +2025-07-02 06:51:09,985 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:06, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2438, loss: 0.2438 +2025-07-02 06:51:25,398 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:24:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.3087, loss: 0.3087 +2025-07-02 06:51:40,823 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:24:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2286, loss: 0.2286 +2025-07-02 06:51:56,338 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2607, loss: 0.2607 +2025-07-02 06:52:11,803 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:23:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2719, loss: 0.2719 +2025-07-02 06:52:27,597 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:23:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2375, loss: 0.2375 +2025-07-02 06:52:40,470 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 06:53:04,155 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:53:04,166 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9941 +2025-07-02 06:53:04,166 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9094, top5_acc: 0.9941 +2025-07-02 06:53:41,699 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:20, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2580, loss: 0.2580 +2025-07-02 06:53:57,285 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2362, loss: 0.2362 +2025-07-02 06:54:12,818 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:22:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1933, loss: 0.1933 +2025-07-02 06:54:28,298 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:22:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2437, loss: 0.2437 +2025-07-02 06:54:43,759 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:22:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2520, loss: 0.2520 +2025-07-02 06:54:59,225 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:21:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1675, loss: 0.1675 +2025-07-02 06:55:14,680 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:21:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 0.2481, loss: 0.2481 +2025-07-02 06:55:30,119 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2350, loss: 0.2350 +2025-07-02 06:55:45,725 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2106, loss: 0.2106 +2025-07-02 06:56:01,403 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:20:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2026, loss: 0.2026 +2025-07-02 06:56:17,088 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:20:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 06:56:30,025 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 06:56:53,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:56:53,654 - pyskl - INFO - +top1_acc 0.9227 +top5_acc 0.9970 +2025-07-02 06:56:53,655 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9227, top5_acc: 0.9970 +2025-07-02 06:57:31,840 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:11, time: 0.382, data_time: 0.222, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2534, loss: 0.2534 +2025-07-02 06:57:47,544 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:19:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2022, loss: 0.2022 +2025-07-02 06:58:03,074 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:19:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2530, loss: 0.2530 +2025-07-02 06:58:18,564 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2196, loss: 0.2196 +2025-07-02 06:58:34,046 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2345, loss: 0.2345 +2025-07-02 06:58:49,541 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:18:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2373, loss: 0.2373 +2025-07-02 06:59:04,998 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:18:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9931, loss_cls: 0.2535, loss: 0.2535 +2025-07-02 06:59:20,701 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2975, loss: 0.2975 +2025-07-02 06:59:36,225 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:17:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 06:59:51,710 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:17:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2513, loss: 0.2513 +2025-07-02 07:00:07,336 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.2023, loss: 0.2023 +2025-07-02 07:00:20,076 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 07:00:43,544 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:00:43,555 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9908 +2025-07-02 07:00:43,555 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9238, top5_acc: 0.9908 +2025-07-02 07:01:21,292 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:01, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2430, loss: 0.2430 +2025-07-02 07:01:36,709 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:16:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2092, loss: 0.2092 +2025-07-02 07:01:52,128 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:16:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2503, loss: 0.2503 +2025-07-02 07:02:07,495 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2505, loss: 0.2505 +2025-07-02 07:02:22,892 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:15:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2445, loss: 0.2445 +2025-07-02 07:02:38,300 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:15:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2277, loss: 0.2277 +2025-07-02 07:02:53,811 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2344, loss: 0.2344 +2025-07-02 07:03:09,328 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2232, loss: 0.2232 +2025-07-02 07:03:24,766 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:14:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1881, loss: 0.1881 +2025-07-02 07:03:40,335 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:14:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2540, loss: 0.2540 +2025-07-02 07:03:55,950 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2321, loss: 0.2321 +2025-07-02 07:04:08,588 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 07:04:32,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:04:32,081 - pyskl - INFO - +top1_acc 0.9164 +top5_acc 0.9930 +2025-07-02 07:04:32,081 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9164, top5_acc: 0.9930 +2025-07-02 07:05:09,651 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:13:51, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9931, loss_cls: 0.2377, loss: 0.2377 +2025-07-02 07:05:25,074 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:13:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2210, loss: 0.2210 +2025-07-02 07:05:40,544 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2543, loss: 0.2543 +2025-07-02 07:05:55,959 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2308, loss: 0.2308 +2025-07-02 07:06:11,374 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:12:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2583, loss: 0.2583 +2025-07-02 07:06:26,820 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:12:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2457, loss: 0.2457 +2025-07-02 07:06:42,245 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2454, loss: 0.2454 +2025-07-02 07:06:57,844 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:11:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2270, loss: 0.2270 +2025-07-02 07:07:13,522 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:11:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1986, loss: 0.1986 +2025-07-02 07:07:28,992 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2430, loss: 0.2430 +2025-07-02 07:07:44,486 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2328, loss: 0.2328 +2025-07-02 07:07:57,446 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 07:08:21,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:08:21,133 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9948 +2025-07-02 07:08:21,133 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9253, top5_acc: 0.9948 +2025-07-02 07:08:58,900 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:10:42, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2307, loss: 0.2307 +2025-07-02 07:09:14,334 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2181, loss: 0.2181 +2025-07-02 07:09:29,804 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9950, loss_cls: 0.2159, loss: 0.2159 +2025-07-02 07:09:45,213 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:09:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9950, loss_cls: 0.2006, loss: 0.2006 +2025-07-02 07:10:00,612 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:09:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1971, loss: 0.1971 +2025-07-02 07:10:16,000 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2383, loss: 0.2383 +2025-07-02 07:10:31,395 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2540, loss: 0.2540 +2025-07-02 07:10:46,873 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:08:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2601, loss: 0.2601 +2025-07-02 07:11:02,333 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:08:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2305, loss: 0.2305 +2025-07-02 07:11:17,972 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2270, loss: 0.2270 +2025-07-02 07:11:33,794 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:07:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.2620, loss: 0.2620 +2025-07-02 07:11:46,517 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 07:12:09,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:12:09,893 - pyskl - INFO - +top1_acc 0.9290 +top5_acc 0.9959 +2025-07-02 07:12:09,893 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9290, top5_acc: 0.9959 +2025-07-02 07:12:47,387 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:07:31, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2073, loss: 0.2073 +2025-07-02 07:13:02,714 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:15, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1988, loss: 0.1988 +2025-07-02 07:13:18,044 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:06:58, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 07:13:33,306 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:06:41, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.2121, loss: 0.2121 +2025-07-02 07:13:48,593 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:24, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2613, loss: 0.2613 +2025-07-02 07:14:03,901 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:07, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.1931, loss: 0.1931 +2025-07-02 07:14:19,202 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:05:51, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2321, loss: 0.2321 +2025-07-02 07:14:34,576 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:05:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 07:14:49,993 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2443, loss: 0.2443 +2025-07-02 07:15:05,580 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2051, loss: 0.2051 +2025-07-02 07:15:21,003 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:04:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2249, loss: 0.2249 +2025-07-02 07:15:33,643 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 07:15:57,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:15:57,027 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9970 +2025-07-02 07:15:57,028 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9412, top5_acc: 0.9970 +2025-07-02 07:16:34,684 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:21, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2376, loss: 0.2376 +2025-07-02 07:16:50,304 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1864, loss: 0.1864 +2025-07-02 07:17:05,783 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:03:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1961, loss: 0.1961 +2025-07-02 07:17:21,200 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:03:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2032, loss: 0.2032 +2025-07-02 07:17:36,686 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2334, loss: 0.2334 +2025-07-02 07:17:52,189 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:02:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2039, loss: 0.2039 +2025-07-02 07:18:07,632 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:02:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2442, loss: 0.2442 +2025-07-02 07:18:23,078 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2087, loss: 0.2087 +2025-07-02 07:18:38,548 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2001, loss: 0.2001 +2025-07-02 07:18:54,141 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:01:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2521, loss: 0.2521 +2025-07-02 07:19:09,702 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:01:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2421, loss: 0.2421 +2025-07-02 07:19:22,353 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 07:19:45,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:19:45,769 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9978 +2025-07-02 07:19:45,770 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9430, top5_acc: 0.9978 +2025-07-02 07:20:23,017 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:10, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 07:20:38,514 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:00:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1872, loss: 0.1872 +2025-07-02 07:20:53,991 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:00:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1883, loss: 0.1883 +2025-07-02 07:21:09,484 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9950, loss_cls: 0.1944, loss: 0.1944 +2025-07-02 07:21:24,973 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.1785, loss: 0.1785 +2025-07-02 07:21:40,449 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 2:59:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2222, loss: 0.2222 +2025-07-02 07:21:55,933 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 2:59:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9950, loss_cls: 0.2202, loss: 0.2202 +2025-07-02 07:22:11,624 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2093, loss: 0.2093 +2025-07-02 07:22:27,330 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:58:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2498, loss: 0.2498 +2025-07-02 07:22:43,079 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:58:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.1828, loss: 0.1828 +2025-07-02 07:22:58,736 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1907, loss: 0.1907 +2025-07-02 07:23:11,470 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 07:23:34,767 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:23:34,777 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9926 +2025-07-02 07:23:34,777 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9294, top5_acc: 0.9926 +2025-07-02 07:24:12,879 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:01, time: 0.381, data_time: 0.220, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1863, loss: 0.1863 +2025-07-02 07:24:28,594 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:57:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.1867, loss: 0.1867 +2025-07-02 07:24:44,138 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:57:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1904, loss: 0.1904 +2025-07-02 07:24:59,629 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.1925, loss: 0.1925 +2025-07-02 07:25:15,134 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:56:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.1938, loss: 0.1938 +2025-07-02 07:25:30,617 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:56:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1902, loss: 0.1902 +2025-07-02 07:25:46,101 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9950, loss_cls: 0.2013, loss: 0.2013 +2025-07-02 07:26:01,626 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.1900, loss: 0.1900 +2025-07-02 07:26:17,186 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:55:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1776, loss: 0.1776 +2025-07-02 07:26:32,729 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:55:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2441, loss: 0.2441 +2025-07-02 07:26:48,391 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2157, loss: 0.2157 +2025-07-02 07:27:01,289 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 07:27:24,613 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:27:24,624 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9963 +2025-07-02 07:27:24,624 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9408, top5_acc: 0.9963 +2025-07-02 07:28:02,033 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:54:51, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2233, loss: 0.2233 +2025-07-02 07:28:17,483 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:54:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1572, loss: 0.1572 +2025-07-02 07:28:32,906 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9950, loss_cls: 0.1906, loss: 0.1906 +2025-07-02 07:28:48,338 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1674, loss: 0.1674 +2025-07-02 07:29:03,725 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:53:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2180, loss: 0.2180 +2025-07-02 07:29:19,132 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:53:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1803, loss: 0.1803 +2025-07-02 07:29:34,540 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.2077, loss: 0.2077 +2025-07-02 07:29:50,088 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:52:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2198, loss: 0.2198 +2025-07-02 07:30:05,772 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:52:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2186, loss: 0.2186 +2025-07-02 07:30:21,250 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2096, loss: 0.2096 +2025-07-02 07:30:36,789 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.1976, loss: 0.1976 +2025-07-02 07:30:49,592 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 07:31:12,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:31:12,924 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9959 +2025-07-02 07:31:12,925 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9405, top5_acc: 0.9959 +2025-07-02 07:31:50,499 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:51:41, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1805, loss: 0.1805 +2025-07-02 07:32:06,141 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1713, loss: 0.1713 +2025-07-02 07:32:21,746 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1751, loss: 0.1751 +2025-07-02 07:32:37,217 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:50:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2067, loss: 0.2067 +2025-07-02 07:32:52,664 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:50:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1896, loss: 0.1896 +2025-07-02 07:33:08,122 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.1961, loss: 0.1961 +2025-07-02 07:33:23,551 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1948, loss: 0.1948 +2025-07-02 07:33:39,096 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:49:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1728, loss: 0.1728 +2025-07-02 07:33:54,699 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1765, loss: 0.1765 +2025-07-02 07:34:10,274 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1976, loss: 0.1976 +2025-07-02 07:34:25,950 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:48:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 07:34:38,621 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 07:35:01,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:35:01,932 - pyskl - INFO - +top1_acc 0.9416 +top5_acc 0.9956 +2025-07-02 07:35:01,932 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9416, top5_acc: 0.9956 +2025-07-02 07:35:39,354 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:48:31, time: 0.374, data_time: 0.218, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 07:35:54,955 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1904, loss: 0.1904 +2025-07-02 07:36:10,534 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:47:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1764, loss: 0.1764 +2025-07-02 07:36:26,084 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:47:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1626, loss: 0.1626 +2025-07-02 07:36:41,600 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 07:36:57,127 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1926, loss: 0.1926 +2025-07-02 07:37:12,608 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:46:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9950, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 07:37:28,200 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:46:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1759, loss: 0.1759 +2025-07-02 07:37:43,665 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1675, loss: 0.1675 +2025-07-02 07:37:59,179 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9962, loss_cls: 0.1943, loss: 0.1943 +2025-07-02 07:38:14,822 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:45:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1877, loss: 0.1877 +2025-07-02 07:38:27,543 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 07:38:51,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:38:51,528 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9956 +2025-07-02 07:38:51,532 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_75.pth was removed +2025-07-02 07:38:51,650 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 07:38:51,650 - pyskl - INFO - Best top1_acc is 0.9453 at 98 epoch. +2025-07-02 07:38:51,651 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9453, top5_acc: 0.9956 +2025-07-02 07:39:29,454 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:21, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1698, loss: 0.1698 +2025-07-02 07:39:44,928 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1697, loss: 0.1697 +2025-07-02 07:40:00,437 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:44:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2020, loss: 0.2020 +2025-07-02 07:40:15,870 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:44:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2216, loss: 0.2216 +2025-07-02 07:40:31,316 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1658, loss: 0.1658 +2025-07-02 07:40:46,737 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:43:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1538, loss: 0.1538 +2025-07-02 07:41:02,092 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:43:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1484, loss: 0.1484 +2025-07-02 07:41:17,616 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1594, loss: 0.1594 +2025-07-02 07:41:33,157 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1693, loss: 0.1693 +2025-07-02 07:41:48,749 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:42:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9950, loss_cls: 0.2274, loss: 0.2274 +2025-07-02 07:42:04,282 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:42:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1987, loss: 0.1987 +2025-07-02 07:42:16,991 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 07:42:40,176 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:42:40,187 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9963 +2025-07-02 07:42:40,187 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9382, top5_acc: 0.9963 +2025-07-02 07:43:17,887 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:10, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1558, loss: 0.1558 +2025-07-02 07:43:33,359 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:41:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1601, loss: 0.1601 +2025-07-02 07:43:48,792 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:41:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1605, loss: 0.1605 +2025-07-02 07:44:04,189 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1594, loss: 0.1594 +2025-07-02 07:44:19,669 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1746, loss: 0.1746 +2025-07-02 07:44:35,309 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:40:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 07:44:50,778 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1690, loss: 0.1690 +2025-07-02 07:45:06,298 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1871, loss: 0.1871 +2025-07-02 07:45:21,953 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:39:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 07:45:37,537 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:39:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.1978, loss: 0.1978 +2025-07-02 07:45:53,199 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9962, loss_cls: 0.1642, loss: 0.1642 +2025-07-02 07:46:05,979 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 07:46:29,244 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:46:29,254 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9937 +2025-07-02 07:46:29,255 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9257, top5_acc: 0.9937 +2025-07-02 07:47:07,252 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:00, time: 0.380, data_time: 0.221, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1630, loss: 0.1630 +2025-07-02 07:47:22,884 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:38:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1818, loss: 0.1818 +2025-07-02 07:47:38,415 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1630, loss: 0.1630 +2025-07-02 07:47:53,868 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1868, loss: 0.1868 +2025-07-02 07:48:09,352 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:37:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2106, loss: 0.2106 +2025-07-02 07:48:24,842 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:37:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9938, loss_cls: 0.2077, loss: 0.2077 +2025-07-02 07:48:40,330 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1791, loss: 0.1791 +2025-07-02 07:48:56,139 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1355, loss: 0.1355 +2025-07-02 07:49:11,728 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:36:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1689, loss: 0.1689 +2025-07-02 07:49:27,243 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9944, loss_cls: 0.2106, loss: 0.2106 +2025-07-02 07:49:42,946 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1912, loss: 0.1912 +2025-07-02 07:49:55,702 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 07:50:19,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:50:19,184 - pyskl - INFO - +top1_acc 0.9479 +top5_acc 0.9967 +2025-07-02 07:50:19,187 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_98.pth was removed +2025-07-02 07:50:19,302 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2025-07-02 07:50:19,303 - pyskl - INFO - Best top1_acc is 0.9479 at 101 epoch. +2025-07-02 07:50:19,304 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9479, top5_acc: 0.9967 +2025-07-02 07:50:56,842 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:35:50, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1591, loss: 0.1591 +2025-07-02 07:51:12,357 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1867, loss: 0.1867 +2025-07-02 07:51:27,828 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1646, loss: 0.1646 +2025-07-02 07:51:43,299 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1579, loss: 0.1579 +2025-07-02 07:51:58,948 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:34:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1858, loss: 0.1858 +2025-07-02 07:52:14,606 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2044, loss: 0.2044 +2025-07-02 07:52:30,049 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1699, loss: 0.1699 +2025-07-02 07:52:45,588 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:33:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1885, loss: 0.1885 +2025-07-02 07:53:01,233 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:33:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1628, loss: 0.1628 +2025-07-02 07:53:16,775 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1487, loss: 0.1487 +2025-07-02 07:53:32,353 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1584, loss: 0.1584 +2025-07-02 07:53:45,078 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 07:54:08,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:54:08,603 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9956 +2025-07-02 07:54:08,603 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9449, top5_acc: 0.9956 +2025-07-02 07:54:46,262 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:32:40, time: 0.377, data_time: 0.220, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1481, loss: 0.1481 +2025-07-02 07:55:01,662 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1480, loss: 0.1480 +2025-07-02 07:55:17,052 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1356, loss: 0.1356 +2025-07-02 07:55:32,430 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:31:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1327, loss: 0.1327 +2025-07-02 07:55:47,813 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 07:56:03,182 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1403, loss: 0.1403 +2025-07-02 07:56:18,584 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1798, loss: 0.1798 +2025-07-02 07:56:34,101 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:30:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2009, loss: 0.2009 +2025-07-02 07:56:49,631 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1653, loss: 0.1653 +2025-07-02 07:57:05,266 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 07:57:20,951 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:29:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1538, loss: 0.1538 +2025-07-02 07:57:33,710 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 07:57:57,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:57:57,307 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9963 +2025-07-02 07:57:57,308 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9345, top5_acc: 0.9963 +2025-07-02 07:58:35,028 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:29, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 07:58:50,477 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 07:59:05,897 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:28:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1743, loss: 0.1743 +2025-07-02 07:59:21,347 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:28:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1506, loss: 0.1506 +2025-07-02 07:59:36,890 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.1950, loss: 0.1950 +2025-07-02 07:59:52,398 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1875, loss: 0.1875 +2025-07-02 08:00:07,911 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:27:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1489, loss: 0.1489 +2025-07-02 08:00:23,556 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1411, loss: 0.1411 +2025-07-02 08:00:39,168 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1605, loss: 0.1605 +2025-07-02 08:00:54,795 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1556, loss: 0.1556 +2025-07-02 08:01:10,298 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:26:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1410, loss: 0.1410 +2025-07-02 08:01:22,918 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 08:01:46,315 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:01:46,325 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9952 +2025-07-02 08:01:46,326 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9353, top5_acc: 0.9952 +2025-07-02 08:02:24,069 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:19, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1214, loss: 0.1214 +2025-07-02 08:02:39,577 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1353, loss: 0.1353 +2025-07-02 08:02:55,156 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:25:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 08:03:10,683 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1211, loss: 0.1211 +2025-07-02 08:03:26,245 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 08:03:41,706 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:24:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 08:03:57,108 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:24:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1791, loss: 0.1791 +2025-07-02 08:04:12,580 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1459, loss: 0.1459 +2025-07-02 08:04:28,207 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1615, loss: 0.1615 +2025-07-02 08:04:43,749 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:23:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 0.1543, loss: 0.1543 +2025-07-02 08:04:59,250 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 08:05:11,994 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 08:05:35,728 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:05:35,738 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9948 +2025-07-02 08:05:35,739 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9382, top5_acc: 0.9948 +2025-07-02 08:06:13,345 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:08, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1374, loss: 0.1374 +2025-07-02 08:06:28,721 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:22:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1249, loss: 0.1249 +2025-07-02 08:06:44,302 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9962, loss_cls: 0.1438, loss: 0.1438 +2025-07-02 08:06:59,671 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1084, loss: 0.1084 +2025-07-02 08:07:15,048 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1505, loss: 0.1505 +2025-07-02 08:07:30,417 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:21:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 08:07:45,811 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1283, loss: 0.1283 +2025-07-02 08:08:01,286 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1611, loss: 0.1611 +2025-07-02 08:08:16,894 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:20:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1416, loss: 0.1416 +2025-07-02 08:08:32,467 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:20:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1520, loss: 0.1520 +2025-07-02 08:08:48,008 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1101, loss: 0.1101 +2025-07-02 08:09:00,588 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 08:09:23,958 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:09:23,969 - pyskl - INFO - +top1_acc 0.9497 +top5_acc 0.9945 +2025-07-02 08:09:23,972 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_101.pth was removed +2025-07-02 08:09:24,089 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-07-02 08:09:24,090 - pyskl - INFO - Best top1_acc is 0.9497 at 106 epoch. +2025-07-02 08:09:24,091 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9497, top5_acc: 0.9945 +2025-07-02 08:10:01,942 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:19:58, time: 0.378, data_time: 0.221, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9969, loss_cls: 0.1279, loss: 0.1279 +2025-07-02 08:10:17,434 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:19:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1153, loss: 0.1153 +2025-07-02 08:10:32,953 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 08:10:48,433 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1096, loss: 0.1096 +2025-07-02 08:11:03,880 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:18:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1370, loss: 0.1370 +2025-07-02 08:11:19,367 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1236, loss: 0.1236 +2025-07-02 08:11:34,874 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1265, loss: 0.1265 +2025-07-02 08:11:50,445 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1728, loss: 0.1728 +2025-07-02 08:12:05,951 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:17:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1325, loss: 0.1325 +2025-07-02 08:12:21,423 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1507, loss: 0.1507 +2025-07-02 08:12:37,050 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1213, loss: 0.1213 +2025-07-02 08:12:49,800 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 08:13:13,312 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:13:13,322 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9956 +2025-07-02 08:13:13,322 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9486, top5_acc: 0.9956 +2025-07-02 08:13:51,124 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:16:47, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1531, loss: 0.1531 +2025-07-02 08:14:06,795 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1103, loss: 0.1103 +2025-07-02 08:14:22,341 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1550, loss: 0.1550 +2025-07-02 08:14:37,810 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:15:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1758, loss: 0.1758 +2025-07-02 08:14:53,357 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:15:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0954, loss: 0.0954 +2025-07-02 08:15:08,893 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 08:15:24,392 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1581, loss: 0.1581 +2025-07-02 08:15:39,905 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:14:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1222, loss: 0.1222 +2025-07-02 08:15:55,379 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 08:16:10,875 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1616, loss: 0.1616 +2025-07-02 08:16:26,493 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1456, loss: 0.1456 +2025-07-02 08:16:39,207 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 08:17:02,893 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:17:02,904 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9945 +2025-07-02 08:17:02,904 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9460, top5_acc: 0.9945 +2025-07-02 08:17:40,519 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:37, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1259, loss: 0.1259 +2025-07-02 08:17:56,130 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 08:18:11,676 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1391, loss: 0.1391 +2025-07-02 08:18:27,190 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:12:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1470, loss: 0.1470 +2025-07-02 08:18:42,686 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1293, loss: 0.1293 +2025-07-02 08:18:58,184 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1083, loss: 0.1083 +2025-07-02 08:19:13,590 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:11:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1495, loss: 0.1495 +2025-07-02 08:19:29,234 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:11:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1166, loss: 0.1166 +2025-07-02 08:19:44,786 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1300, loss: 0.1300 +2025-07-02 08:20:00,218 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1345, loss: 0.1345 +2025-07-02 08:20:15,858 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:10:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9950, loss_cls: 0.1281, loss: 0.1281 +2025-07-02 08:20:28,514 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 08:20:52,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:20:52,060 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9970 +2025-07-02 08:20:52,060 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9464, top5_acc: 0.9970 +2025-07-02 08:21:29,415 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:26, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1405, loss: 0.1405 +2025-07-02 08:21:44,887 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1017, loss: 0.1017 +2025-07-02 08:22:00,353 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:09:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1250, loss: 0.1250 +2025-07-02 08:22:15,812 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1087, loss: 0.1087 +2025-07-02 08:22:31,334 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0974, loss: 0.0974 +2025-07-02 08:22:46,774 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1364, loss: 0.1364 +2025-07-02 08:23:02,310 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:08:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1282, loss: 0.1282 +2025-07-02 08:23:17,856 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1427, loss: 0.1427 +2025-07-02 08:23:33,285 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1266, loss: 0.1266 +2025-07-02 08:23:48,808 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:07:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1232, loss: 0.1232 +2025-07-02 08:24:04,375 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:07:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1200, loss: 0.1200 +2025-07-02 08:24:17,034 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 08:24:40,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:24:40,550 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9982 +2025-07-02 08:24:40,550 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9486, top5_acc: 0.9982 +2025-07-02 08:25:18,441 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:15, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1270, loss: 0.1270 +2025-07-02 08:25:33,977 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:06:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9956, loss_cls: 0.1464, loss: 0.1464 +2025-07-02 08:25:49,487 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:06:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1231, loss: 0.1231 +2025-07-02 08:26:04,949 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 08:26:20,353 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 08:26:35,727 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:05:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1155, loss: 0.1155 +2025-07-02 08:26:51,179 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1238, loss: 0.1238 +2025-07-02 08:27:06,865 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1169, loss: 0.1169 +2025-07-02 08:27:22,327 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0980, loss: 0.0980 +2025-07-02 08:27:37,879 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:04:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1296, loss: 0.1296 +2025-07-02 08:27:53,461 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 0.1373, loss: 0.1373 +2025-07-02 08:28:06,198 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 08:28:29,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:28:29,986 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9970 +2025-07-02 08:28:29,986 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9467, top5_acc: 0.9970 +2025-07-02 08:29:07,323 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:04, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1349, loss: 0.1349 +2025-07-02 08:29:22,755 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:03:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 08:29:38,130 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1142, loss: 0.1142 +2025-07-02 08:29:53,500 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 08:30:08,899 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:02:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9962, loss_cls: 0.0972, loss: 0.0972 +2025-07-02 08:30:24,290 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:02:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1009, loss: 0.1009 +2025-07-02 08:30:39,680 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 08:30:55,136 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0949, loss: 0.0949 +2025-07-02 08:31:10,614 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:01:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 08:31:26,169 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0896, loss: 0.0896 +2025-07-02 08:31:41,683 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0964, loss: 0.0964 +2025-07-02 08:31:54,338 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 08:32:17,566 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:32:17,576 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9956 +2025-07-02 08:32:17,577 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9464, top5_acc: 0.9956 +2025-07-02 08:32:55,310 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:00:53, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1045, loss: 0.1045 +2025-07-02 08:33:10,799 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 08:33:26,293 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1361, loss: 0.1361 +2025-07-02 08:33:41,763 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1018, loss: 0.1018 +2025-07-02 08:33:57,215 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 1:59:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9969, loss_cls: 0.1024, loss: 0.1024 +2025-07-02 08:34:12,612 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 08:34:28,006 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1381, loss: 0.1381 +2025-07-02 08:34:43,536 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:58:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1216, loss: 0.1216 +2025-07-02 08:34:59,052 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:58:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 08:35:14,678 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0863, loss: 0.0863 +2025-07-02 08:35:30,207 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1291, loss: 0.1291 +2025-07-02 08:35:42,852 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 08:36:06,208 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:36:06,219 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9945 +2025-07-02 08:36:06,219 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9393, top5_acc: 0.9945 +2025-07-02 08:36:43,946 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:57:42, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1195, loss: 0.1195 +2025-07-02 08:36:59,346 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 08:37:14,730 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1056, loss: 0.1056 +2025-07-02 08:37:30,155 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:56:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.1082, loss: 0.1082 +2025-07-02 08:37:45,602 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1028, loss: 0.1028 +2025-07-02 08:38:01,063 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1071, loss: 0.1071 +2025-07-02 08:38:16,482 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 08:38:31,948 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:55:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 08:38:47,530 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0834, loss: 0.0834 +2025-07-02 08:39:03,018 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0671, loss: 0.0671 +2025-07-02 08:39:18,525 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:54:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0862, loss: 0.0862 +2025-07-02 08:39:31,341 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 08:39:54,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:39:54,737 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9982 +2025-07-02 08:39:54,740 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_106.pth was removed +2025-07-02 08:39:54,856 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-07-02 08:39:54,857 - pyskl - INFO - Best top1_acc is 0.9578 at 114 epoch. +2025-07-02 08:39:54,857 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9578, top5_acc: 0.9982 +2025-07-02 08:40:32,182 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:31, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1112, loss: 0.1112 +2025-07-02 08:40:47,593 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1059, loss: 0.1059 +2025-07-02 08:41:02,997 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:53:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0971, loss: 0.0971 +2025-07-02 08:41:18,333 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:53:42, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0896, loss: 0.0896 +2025-07-02 08:41:33,685 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 08:41:49,006 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:09, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0905, loss: 0.0905 +2025-07-02 08:42:04,315 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:52:52, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1055, loss: 0.1055 +2025-07-02 08:42:19,730 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0949, loss: 0.0949 +2025-07-02 08:42:35,185 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1015, loss: 0.1015 +2025-07-02 08:42:50,650 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 08:43:06,090 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:51:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.0932, loss: 0.0932 +2025-07-02 08:43:18,935 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 08:43:42,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:43:42,099 - pyskl - INFO - +top1_acc 0.9504 +top5_acc 0.9982 +2025-07-02 08:43:42,100 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9504, top5_acc: 0.9982 +2025-07-02 08:44:19,983 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:20, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.0953, loss: 0.0953 +2025-07-02 08:44:35,535 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 08:44:51,024 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:50:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1029, loss: 0.1029 +2025-07-02 08:45:06,473 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 08:45:21,921 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0589, loss: 0.0589 +2025-07-02 08:45:37,320 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:49:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 08:45:52,687 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1083, loss: 0.1083 +2025-07-02 08:46:08,168 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0694, loss: 0.0694 +2025-07-02 08:46:23,778 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 08:46:39,326 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:48:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0719, loss: 0.0719 +2025-07-02 08:46:54,925 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0846, loss: 0.0846 +2025-07-02 08:47:07,699 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 08:47:30,941 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:47:30,952 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9948 +2025-07-02 08:47:30,953 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9434, top5_acc: 0.9948 +2025-07-02 08:48:08,435 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:09, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 08:48:23,807 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:47:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 08:48:39,231 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0693, loss: 0.0693 +2025-07-02 08:48:54,680 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 08:49:10,113 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0699, loss: 0.0699 +2025-07-02 08:49:25,561 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:46:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0829, loss: 0.0829 +2025-07-02 08:49:41,035 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1027, loss: 0.1027 +2025-07-02 08:49:56,488 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0780, loss: 0.0780 +2025-07-02 08:50:11,966 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:45:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 08:50:27,350 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0810, loss: 0.0810 +2025-07-02 08:50:42,762 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 08:50:55,407 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 08:51:18,798 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:51:18,808 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9974 +2025-07-02 08:51:18,808 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9464, top5_acc: 0.9974 +2025-07-02 08:51:56,346 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:44:58, time: 0.375, data_time: 0.218, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0918, loss: 0.0918 +2025-07-02 08:52:11,616 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:41, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0945, loss: 0.0945 +2025-07-02 08:52:26,946 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:25, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 08:52:42,287 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:08, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0879, loss: 0.0879 +2025-07-02 08:52:57,579 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:43:52, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 08:53:12,865 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:35, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 08:53:28,181 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:19, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0730, loss: 0.0730 +2025-07-02 08:53:43,527 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:02, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 08:53:58,961 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:42:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0766, loss: 0.0766 +2025-07-02 08:54:14,573 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 08:54:30,065 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 08:54:42,860 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 08:55:07,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:55:07,049 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9959 +2025-07-02 08:55:07,049 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9541, top5_acc: 0.9959 +2025-07-02 08:55:44,846 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:41:46, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0851, loss: 0.0851 +2025-07-02 08:56:00,470 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.0965, loss: 0.0965 +2025-07-02 08:56:16,038 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0958, loss: 0.0958 +2025-07-02 08:56:31,541 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:40:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0627, loss: 0.0627 +2025-07-02 08:56:47,048 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0754, loss: 0.0754 +2025-07-02 08:57:02,535 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 08:57:17,938 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 08:57:33,404 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:39:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0694, loss: 0.0694 +2025-07-02 08:57:48,853 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 08:58:04,347 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0864, loss: 0.0864 +2025-07-02 08:58:19,962 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0743, loss: 0.0743 +2025-07-02 08:58:32,666 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 08:58:56,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:58:56,358 - pyskl - INFO - +top1_acc 0.9497 +top5_acc 0.9970 +2025-07-02 08:58:56,358 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9497, top5_acc: 0.9970 +2025-07-02 08:59:34,302 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:36, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 08:59:49,739 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 09:00:05,184 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0746, loss: 0.0746 +2025-07-02 09:00:20,622 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:37:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0651, loss: 0.0651 +2025-07-02 09:00:36,047 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 09:00:51,521 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0794, loss: 0.0794 +2025-07-02 09:01:06,935 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:36:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 09:01:22,359 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 09:01:38,091 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 09:01:53,931 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 09:02:09,486 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:35:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1109, loss: 0.1109 +2025-07-02 09:02:22,245 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 09:02:45,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:02:45,699 - pyskl - INFO - +top1_acc 0.9589 +top5_acc 0.9974 +2025-07-02 09:02:45,703 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_114.pth was removed +2025-07-02 09:02:45,820 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-07-02 09:02:45,820 - pyskl - INFO - Best top1_acc is 0.9589 at 120 epoch. +2025-07-02 09:02:45,821 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9589, top5_acc: 0.9974 +2025-07-02 09:03:23,345 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:24, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0663, loss: 0.0663 +2025-07-02 09:03:38,698 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 09:03:54,034 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:34:52, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 09:04:09,395 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 09:04:24,719 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:19, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 09:04:40,079 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 09:04:55,400 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:33:46, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 09:05:11,134 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.0994, loss: 0.0994 +2025-07-02 09:05:26,888 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0830, loss: 0.0830 +2025-07-02 09:05:42,575 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:32:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 09:05:58,118 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0697, loss: 0.0697 +2025-07-02 09:06:10,783 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 09:06:34,524 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:06:34,535 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9967 +2025-07-02 09:06:34,535 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9530, top5_acc: 0.9967 +2025-07-02 09:07:11,933 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:13, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0750, loss: 0.0750 +2025-07-02 09:07:27,291 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:31:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 09:07:42,695 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0735, loss: 0.0735 +2025-07-02 09:07:58,092 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 09:08:13,475 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 09:08:28,860 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:30:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 09:08:44,254 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 09:08:59,646 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 09:09:15,057 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0768, loss: 0.0768 +2025-07-02 09:09:30,759 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:29:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1178, loss: 0.1178 +2025-07-02 09:09:46,486 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0763, loss: 0.0763 +2025-07-02 09:09:59,279 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 09:10:22,489 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:10:22,500 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9974 +2025-07-02 09:10:22,500 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9512, top5_acc: 0.9974 +2025-07-02 09:11:00,251 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:02, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 09:11:15,753 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:28:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 09:11:31,240 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 09:11:46,741 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 09:12:02,198 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:27:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 09:12:17,611 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0793, loss: 0.0793 +2025-07-02 09:12:33,025 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 09:12:48,441 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 09:13:03,893 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:26:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0718, loss: 0.0718 +2025-07-02 09:13:19,439 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0657, loss: 0.0657 +2025-07-02 09:13:34,943 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 09:13:47,733 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 09:14:11,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:14:11,229 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9974 +2025-07-02 09:14:11,229 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9567, top5_acc: 0.9974 +2025-07-02 09:14:48,766 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:25:51, time: 0.375, data_time: 0.218, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 09:15:04,253 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 09:15:19,688 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0786, loss: 0.0786 +2025-07-02 09:15:35,142 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 09:15:50,597 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:24:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 09:16:05,993 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:16:21,363 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0709, loss: 0.0709 +2025-07-02 09:16:36,798 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:23:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0528, loss: 0.0528 +2025-07-02 09:16:52,220 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 09:17:07,861 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0681, loss: 0.0681 +2025-07-02 09:17:23,296 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 09:17:36,041 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 09:17:59,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:17:59,422 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9974 +2025-07-02 09:17:59,422 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9541, top5_acc: 0.9974 +2025-07-02 09:18:36,984 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:40, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 09:18:52,487 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0705, loss: 0.0705 +2025-07-02 09:19:08,005 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 09:19:23,608 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:21:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 09:19:39,163 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0723, loss: 0.0723 +2025-07-02 09:19:54,755 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 09:20:10,327 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 09:20:25,920 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 09:20:41,483 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 09:20:57,088 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 09:21:12,645 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:19:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 09:21:25,415 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 09:21:48,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:21:48,403 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9959 +2025-07-02 09:21:48,404 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9545, top5_acc: 0.9959 +2025-07-02 09:22:26,015 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:29, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0627, loss: 0.0627 +2025-07-02 09:22:41,588 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 09:22:57,175 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:18:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0631, loss: 0.0631 +2025-07-02 09:23:12,726 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0529, loss: 0.0529 +2025-07-02 09:23:28,260 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 09:23:43,932 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 09:23:59,504 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:17:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 09:24:15,076 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 09:24:30,557 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0483, loss: 0.0483 +2025-07-02 09:24:46,121 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 09:25:01,600 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 09:25:14,312 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 09:25:37,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:25:37,746 - pyskl - INFO - +top1_acc 0.9589 +top5_acc 0.9974 +2025-07-02 09:25:37,746 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9589, top5_acc: 0.9974 +2025-07-02 09:26:15,373 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:18, time: 0.376, data_time: 0.219, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 09:26:30,773 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0554, loss: 0.0554 +2025-07-02 09:26:46,137 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 09:27:01,587 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 09:27:17,147 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 09:27:32,646 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:14:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 09:27:48,161 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 09:28:03,710 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 09:28:19,114 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0753, loss: 0.0753 +2025-07-02 09:28:34,530 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:13:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 09:28:49,923 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0561, loss: 0.0561 +2025-07-02 09:29:02,656 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 09:29:25,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:29:25,788 - pyskl - INFO - +top1_acc 0.9634 +top5_acc 0.9967 +2025-07-02 09:29:25,792 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_120.pth was removed +2025-07-02 09:29:25,905 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 09:29:25,905 - pyskl - INFO - Best top1_acc is 0.9634 at 127 epoch. +2025-07-02 09:29:25,906 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9634, top5_acc: 0.9967 +2025-07-02 09:30:03,115 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:06, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 09:30:18,532 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:12:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 09:30:34,038 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0596, loss: 0.0596 +2025-07-02 09:30:49,537 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 09:31:05,065 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 09:31:20,612 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 09:31:36,152 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 09:31:51,650 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0685, loss: 0.0685 +2025-07-02 09:32:07,110 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:10:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 09:32:22,744 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 09:32:38,284 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 09:32:51,066 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 09:33:14,633 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:33:14,644 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9956 +2025-07-02 09:33:14,644 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9578, top5_acc: 0.9956 +2025-07-02 09:33:52,557 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:09:55, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 09:34:08,057 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 09:34:23,569 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 09:34:39,037 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 09:34:54,486 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:08:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 09:35:09,964 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0542, loss: 0.0542 +2025-07-02 09:35:25,402 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 09:35:40,932 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 09:35:56,348 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 09:36:11,792 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 09:36:27,214 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 09:36:40,091 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 09:37:03,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:37:03,361 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9956 +2025-07-02 09:37:03,362 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9538, top5_acc: 0.9956 +2025-07-02 09:37:41,077 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:44, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 09:37:56,549 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 09:38:12,022 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 09:38:27,526 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:05:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 09:38:43,239 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 09:38:58,997 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 09:39:14,553 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 09:39:30,047 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:04:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 09:39:45,552 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 09:40:01,137 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 09:40:16,691 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0640, loss: 0.0640 +2025-07-02 09:40:29,484 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 09:40:52,649 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:40:52,659 - pyskl - INFO - +top1_acc 0.9571 +top5_acc 0.9952 +2025-07-02 09:40:52,660 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9571, top5_acc: 0.9952 +2025-07-02 09:41:30,403 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:33, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 09:41:45,950 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 09:42:01,559 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0492, loss: 0.0492 +2025-07-02 09:42:17,196 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 09:42:32,779 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 09:42:48,422 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 09:43:03,960 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:01:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 09:43:19,566 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 09:43:35,167 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 09:43:50,751 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 09:44:06,333 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:00:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 09:44:19,057 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 09:44:42,400 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:44:42,411 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9970 +2025-07-02 09:44:42,411 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9601, top5_acc: 0.9970 +2025-07-02 09:45:19,900 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:21, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 09:45:35,332 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 09:45:50,732 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0521, loss: 0.0521 +2025-07-02 09:46:06,106 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 09:46:21,433 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:16, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 09:46:36,978 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 09:46:52,337 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 09:47:07,665 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:27, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 09:47:22,984 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:10, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 09:47:38,373 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:57:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 09:47:53,846 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 09:48:06,498 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 09:48:29,694 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:48:29,706 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9970 +2025-07-02 09:48:29,706 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9604, top5_acc: 0.9970 +2025-07-02 09:49:06,676 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:10, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 09:49:22,166 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:56:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 09:49:37,695 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 09:49:53,272 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 09:50:08,939 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:50:24,499 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 09:50:40,039 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 09:50:55,607 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 09:51:11,172 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:54:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 09:51:26,581 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 09:51:42,013 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 09:51:54,611 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 09:52:17,999 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:52:18,010 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9956 +2025-07-02 09:52:18,010 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9601, top5_acc: 0.9956 +2025-07-02 09:52:56,594 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:53:59, time: 0.386, data_time: 0.225, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 09:53:12,172 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 09:53:27,743 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 09:53:43,283 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 09:53:58,827 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:52:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 09:54:14,411 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 09:54:29,889 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0542, loss: 0.0542 +2025-07-02 09:54:45,341 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 09:55:00,868 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 09:55:16,380 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 09:55:31,965 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 09:55:44,690 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 09:56:08,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:56:08,149 - pyskl - INFO - +top1_acc 0.9652 +top5_acc 0.9963 +2025-07-02 09:56:08,153 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_127.pth was removed +2025-07-02 09:56:08,285 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 09:56:08,285 - pyskl - INFO - Best top1_acc is 0.9652 at 134 epoch. +2025-07-02 09:56:08,287 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9652, top5_acc: 0.9963 +2025-07-02 09:56:46,347 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:47, time: 0.381, data_time: 0.220, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:57:02,085 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 09:57:17,829 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 09:57:33,455 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:49:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 09:57:49,186 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 09:58:04,803 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 09:58:20,372 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 09:58:35,916 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:48:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 09:58:51,445 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 09:59:06,941 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9975, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 09:59:22,379 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 09:59:35,157 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 09:59:58,566 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:59:58,577 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9963 +2025-07-02 09:59:58,578 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9578, top5_acc: 0.9963 +2025-07-02 10:00:35,977 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:36, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 10:00:51,481 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 10:01:06,916 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 10:01:22,319 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 10:01:37,818 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9975, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 10:01:53,227 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 10:02:08,605 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:45:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:02:24,022 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 10:02:39,496 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 10:02:54,942 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 10:03:10,504 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:44:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 10:03:23,362 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 10:03:46,540 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:03:46,551 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9963 +2025-07-02 10:03:46,551 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9619, top5_acc: 0.9963 +2025-07-02 10:04:24,342 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:25, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 10:04:39,867 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 10:04:55,422 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:43:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 10:05:10,928 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:05:26,323 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 10:05:41,721 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 10:05:57,090 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 10:06:12,532 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 10:06:28,129 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 10:06:43,570 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:41:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 10:06:59,110 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:07:11,770 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 10:07:35,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:07:35,057 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9970 +2025-07-02 10:07:35,058 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9619, top5_acc: 0.9970 +2025-07-02 10:08:12,395 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:13, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 10:08:27,824 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:40:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:08:43,231 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 10:08:58,626 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 10:09:14,011 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:09:29,387 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:09:45,045 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:10:00,462 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 10:10:15,868 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 10:10:31,501 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:10:47,129 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 10:10:59,657 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 10:11:22,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:11:22,993 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9970 +2025-07-02 10:11:22,993 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9578, top5_acc: 0.9970 +2025-07-02 10:12:00,271 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:02, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:12:15,647 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 10:12:31,026 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 10:12:46,410 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 10:13:01,791 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:36:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:13:17,168 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 10:13:32,552 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:13:47,934 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0185, loss: 0.0185 +2025-07-02 10:14:03,343 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 10:14:18,662 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:35, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:14:34,211 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:14:46,821 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 10:15:09,871 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:15:09,882 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9970 +2025-07-02 10:15:09,882 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9619, top5_acc: 0.9970 +2025-07-02 10:15:47,553 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:50, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9975, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 10:16:03,028 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 10:16:18,671 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 10:16:34,154 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 10:16:49,647 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:17:05,126 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 10:17:20,597 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 10:17:36,073 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:32:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 10:17:51,581 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:18:07,060 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 10:18:22,594 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 10:18:35,313 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 10:18:58,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:18:58,721 - pyskl - INFO - +top1_acc 0.9634 +top5_acc 0.9974 +2025-07-02 10:18:58,721 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9634, top5_acc: 0.9974 +2025-07-02 10:19:36,026 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:39, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 10:19:51,452 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 10:20:06,911 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:20:22,324 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:20:37,785 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:20:53,281 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 10:21:08,772 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 10:21:24,243 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 10:21:39,738 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:21:55,203 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 10:22:10,752 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:28:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 10:22:23,480 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 10:22:46,786 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:22:46,797 - pyskl - INFO - +top1_acc 0.9623 +top5_acc 0.9978 +2025-07-02 10:22:46,797 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9623, top5_acc: 0.9978 +2025-07-02 10:23:24,383 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:27, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 10:23:39,911 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:23:55,377 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:27:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:24:10,955 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 10:24:26,667 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:24:42,305 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 10:24:57,871 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 10:25:13,405 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 10:25:29,046 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 10:25:44,567 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 10:26:00,138 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0201, loss: 0.0201 +2025-07-02 10:26:13,034 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 10:26:36,319 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:26:36,330 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9970 +2025-07-02 10:26:36,331 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9615, top5_acc: 0.9970 +2025-07-02 10:27:14,084 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:16, time: 0.377, data_time: 0.220, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0168, loss: 0.0168 +2025-07-02 10:27:29,494 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:24:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 10:27:44,882 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 10:28:00,271 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 10:28:15,644 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 10:28:31,013 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:28:46,425 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 10:29:01,801 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 10:29:17,200 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 10:29:32,642 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 10:29:48,033 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:30:00,893 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 10:30:24,389 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:30:24,400 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9970 +2025-07-02 10:30:24,400 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9612, top5_acc: 0.9970 +2025-07-02 10:31:02,334 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:04, time: 0.379, data_time: 0.222, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 10:31:17,793 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:31:33,190 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 10:31:48,582 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 10:32:03,983 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:20:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 10:32:19,457 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 10:32:34,877 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 10:32:50,314 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 10:33:05,714 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:33:21,120 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:33:36,567 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:33:49,293 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 10:34:12,841 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:34:12,851 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9974 +2025-07-02 10:34:12,852 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9630, top5_acc: 0.9974 +2025-07-02 10:34:50,730 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:53, time: 0.379, data_time: 0.222, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 10:35:06,305 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:35:21,771 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 10:35:37,186 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:35:52,572 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:36:07,980 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 10:36:23,374 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0169, loss: 0.0169 +2025-07-02 10:36:38,757 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:16:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:36:54,193 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 10:37:09,616 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:37:25,074 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 10:37:37,871 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 10:38:01,291 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:38:01,301 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9970 +2025-07-02 10:38:01,302 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9612, top5_acc: 0.9970 +2025-07-02 10:38:38,857 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:41, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:38:54,397 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 10:39:09,841 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:39:25,395 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 10:39:40,890 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 10:39:56,391 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 10:40:11,918 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 10:40:27,426 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 10:40:43,154 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0155, loss: 0.0155 +2025-07-02 10:40:58,765 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:41:14,373 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:12:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 10:41:27,124 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 10:41:50,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:41:50,641 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9974 +2025-07-02 10:41:50,641 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9630, top5_acc: 0.9974 +2025-07-02 10:42:28,808 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:30, time: 0.382, data_time: 0.222, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 10:42:44,444 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 10:43:00,002 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 10:43:15,469 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 10:43:30,918 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0164, loss: 0.0164 +2025-07-02 10:43:46,479 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:44:01,936 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0170, loss: 0.0170 +2025-07-02 10:44:17,337 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 10:44:32,893 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:44:48,328 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 10:45:03,793 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:45:16,484 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 10:45:39,970 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:45:39,980 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9974 +2025-07-02 10:45:39,981 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9615, top5_acc: 0.9974 +2025-07-02 10:46:17,580 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:18, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 10:46:33,075 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 10:46:48,500 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:47:03,928 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0193, loss: 0.0193 +2025-07-02 10:47:19,506 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 10:47:35,057 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 10:47:50,692 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:48:06,294 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:48:21,914 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 10:48:37,483 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 10:48:53,121 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:49:05,869 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 10:49:29,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:49:29,339 - pyskl - INFO - +top1_acc 0.9626 +top5_acc 0.9974 +2025-07-02 10:49:29,339 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9626, top5_acc: 0.9974 +2025-07-02 10:50:07,121 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:06, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 10:50:22,543 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0193, loss: 0.0193 +2025-07-02 10:50:38,091 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 10:50:53,606 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 10:51:09,401 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 10:51:25,233 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:51:40,784 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 10:51:56,367 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 10:52:11,909 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:52:27,415 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 10:52:43,035 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 10:52:55,822 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 10:53:19,766 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:53:19,776 - pyskl - INFO - +top1_acc 0.9623 +top5_acc 0.9970 +2025-07-02 10:53:19,776 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9623, top5_acc: 0.9970 +2025-07-02 10:53:57,174 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:55, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 10:54:12,496 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0185, loss: 0.0185 +2025-07-02 10:54:27,923 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2025-07-02 10:54:43,385 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 10:54:58,730 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 10:55:14,051 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:55:29,362 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 10:55:44,695 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0190, loss: 0.0190 +2025-07-02 10:56:00,069 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:56:15,417 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:28, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 10:56:30,862 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:56:43,602 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 10:57:07,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:57:07,341 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9974 +2025-07-02 10:57:07,342 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9612, top5_acc: 0.9974 +2025-07-02 10:57:14,314 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 10:58:42,308 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 10:58:42,308 - pyskl - INFO - top1_acc: 0.9630 +2025-07-02 10:58:42,308 - pyskl - INFO - top5_acc: 0.9978 +2025-07-02 10:58:42,309 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/b_1/best_top1_acc_epoch_134.pth +2025-07-02 11:00:11,510 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 11:00:11,511 - pyskl - INFO - top1_acc: 0.9667 +2025-07-02 11:00:11,511 - pyskl - INFO - top5_acc: 0.9967 diff --git a/pku_mmd_xsub/b_1/20250702_012820.log.json b/pku_mmd_xsub/b_1/20250702_012820.log.json new file mode 100644 index 0000000000000000000000000000000000000000..c710ce7f6bdd8a32ddb87db69acfc9caee224a18 --- /dev/null +++ b/pku_mmd_xsub/b_1/20250702_012820.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare 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+{"mode": "val", "epoch": 148, "iter": 169, "lr": 1e-05, "top1_acc": 0.96265, "top5_acc": 0.99741} +{"mode": "train", "epoch": 149, "iter": 100, "lr": 1e-05, "memory": 3566, "data_time": 0.21939, "top1_acc": 0.995, "top5_acc": 0.99938, "loss_cls": 0.02705, "loss": 0.02705, "time": 0.37777} +{"mode": "train", "epoch": 149, "iter": 200, "lr": 1e-05, "memory": 3566, "data_time": 0.00023, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01935, "loss": 0.01935, "time": 0.15421} +{"mode": "train", "epoch": 149, "iter": 300, "lr": 1e-05, "memory": 3566, "data_time": 0.00023, "top1_acc": 0.99312, "top5_acc": 0.99812, "loss_cls": 0.03938, "loss": 0.03938, "time": 0.15548} +{"mode": "train", "epoch": 149, "iter": 400, "lr": 1e-05, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.9975, "top5_acc": 0.99938, "loss_cls": 0.01941, "loss": 0.01941, "time": 0.15513} +{"mode": "train", "epoch": 149, "iter": 500, "lr": 1e-05, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02037, "loss": 0.02037, "time": 0.15794} +{"mode": "train", "epoch": 149, "iter": 600, "lr": 1e-05, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02566, "loss": 0.02566, "time": 0.15831} +{"mode": "train", "epoch": 149, "iter": 700, "lr": 1e-05, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.995, "top5_acc": 0.99938, "loss_cls": 0.02707, "loss": 0.02707, "time": 0.1555} +{"mode": "train", "epoch": 149, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99562, "top5_acc": 0.99938, "loss_cls": 0.02062, "loss": 0.02062, "time": 0.15583} +{"mode": "train", "epoch": 149, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99688, "top5_acc": 0.99875, "loss_cls": 0.02415, "loss": 0.02415, "time": 0.15541} +{"mode": "train", "epoch": 149, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99188, "top5_acc": 0.99938, "loss_cls": 0.03962, "loss": 0.03962, "time": 0.15506} +{"mode": "train", "epoch": 149, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.02696, "loss": 0.02696, "time": 0.1562} +{"mode": "val", "epoch": 149, "iter": 169, "lr": 0.0, "top1_acc": 0.96228, "top5_acc": 0.99704} +{"mode": "train", "epoch": 150, "iter": 100, "lr": 0.0, "memory": 3566, "data_time": 0.21628, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02664, "loss": 0.02664, "time": 0.37393} +{"mode": "train", "epoch": 150, "iter": 200, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.01847, "loss": 0.01847, "time": 0.15322} +{"mode": "train", "epoch": 150, "iter": 300, "lr": 0.0, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02445, "loss": 0.02445, "time": 0.15426} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99312, "top5_acc": 0.99875, "loss_cls": 0.03916, "loss": 0.03916, "time": 0.15461} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02135, "loss": 0.02135, "time": 0.15344} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.995, "top5_acc": 0.99938, "loss_cls": 0.02649, "loss": 0.02649, "time": 0.1532} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02212, "loss": 0.02212, "time": 0.15311} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.01904, "loss": 0.01904, "time": 0.15332} +{"mode": "train", "epoch": 150, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02308, "loss": 0.02308, "time": 0.15373} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02399, "loss": 0.02399, "time": 0.15347} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02092, "loss": 0.02092, "time": 0.15444} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.96117, "top5_acc": 0.99741} diff --git a/pku_mmd_xsub/b_1/b_1.py b/pku_mmd_xsub/b_1/b_1.py new file mode 100644 index 0000000000000000000000000000000000000000..5ecf4596148711e35367ad916505a7f485ab1db6 --- /dev/null +++ b/pku_mmd_xsub/b_1/b_1.py @@ -0,0 +1,98 @@ +modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/b_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/b_1/best_pred.pkl b/pku_mmd_xsub/b_1/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..a6b5db7e684611e80b9e639453224736a226b586 --- /dev/null +++ b/pku_mmd_xsub/b_1/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4623033271eca566d26f073f0353e73158f1d67b5999cce0de4d3621bd28480a +size 954529 diff --git a/pku_mmd_xsub/b_1/best_top1_acc_epoch_134.pth b/pku_mmd_xsub/b_1/best_top1_acc_epoch_134.pth new file mode 100644 index 0000000000000000000000000000000000000000..e6d8e7aacc1df0592916ebb1958b70993cfc5a74 --- /dev/null +++ b/pku_mmd_xsub/b_1/best_top1_acc_epoch_134.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:80156b77c6de6fcf23339fe3ba9c96d7ae5c4092ed3569d0a4054632e47d55f5 +size 32917041 diff --git a/pku_mmd_xsub/b_2/20250702_012904.log b/pku_mmd_xsub/b_2/20250702_012904.log new file mode 100644 index 0000000000000000000000000000000000000000..34ff66c9451b63efb799e37a3308643836cfd529 --- /dev/null +++ b/pku_mmd_xsub/b_2/20250702_012904.log @@ -0,0 +1,2847 @@ +2025-07-02 01:29:04,974 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 01:29:05,254 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/b_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 01:29:05,255 - pyskl - INFO - Set random seed to 1416160334, deterministic: False +2025-07-02 01:29:09,020 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 01:29:15,303 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 01:29:15,307 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2 +2025-07-02 01:29:15,308 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 01:29:15,308 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 01:29:15,308 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2 by HardDiskBackend. +2025-07-02 01:29:52,201 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 18:05:46, time: 0.369, data_time: 0.211, memory: 3565, top1_acc: 0.0563, top5_acc: 0.1831, loss_cls: 4.3298, loss: 4.3298 +2025-07-02 01:30:07,194 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:43:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1031, top5_acc: 0.3162, loss_cls: 4.0877, loss: 4.0877 +2025-07-02 01:30:22,318 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:56:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.1613, top5_acc: 0.4519, loss_cls: 3.7267, loss: 3.7267 +2025-07-02 01:30:37,368 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 10:02:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1994, top5_acc: 0.5669, loss_cls: 3.3992, loss: 3.3992 +2025-07-02 01:30:52,448 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:30:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2381, top5_acc: 0.6644, loss_cls: 3.1026, loss: 3.1026 +2025-07-02 01:31:07,813 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:10:18, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.3056, top5_acc: 0.7462, loss_cls: 2.8110, loss: 2.8110 +2025-07-02 01:31:23,117 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:55:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.3200, top5_acc: 0.7638, loss_cls: 2.6734, loss: 2.6734 +2025-07-02 01:31:38,170 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:43:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3600, top5_acc: 0.8044, loss_cls: 2.5192, loss: 2.5192 +2025-07-02 01:31:53,260 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:34:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4200, top5_acc: 0.8325, loss_cls: 2.3893, loss: 2.3893 +2025-07-02 01:32:08,297 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:26:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4525, top5_acc: 0.8581, loss_cls: 2.2314, loss: 2.2314 +2025-07-02 01:32:23,470 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:20:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.4881, top5_acc: 0.8831, loss_cls: 2.0696, loss: 2.0696 +2025-07-02 01:32:35,877 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 01:32:58,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:32:58,668 - pyskl - INFO - +top1_acc 0.4811 +top5_acc 0.9098 +2025-07-02 01:32:58,846 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 01:32:58,847 - pyskl - INFO - Best top1_acc is 0.4811 at 1 epoch. +2025-07-02 01:32:58,848 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.4811, top5_acc: 0.9098 +2025-07-02 01:33:35,550 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:34:23, time: 0.367, data_time: 0.214, memory: 3565, top1_acc: 0.5112, top5_acc: 0.8875, loss_cls: 2.0201, loss: 2.0201 +2025-07-02 01:33:50,657 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:28:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5481, top5_acc: 0.9081, loss_cls: 1.8672, loss: 1.8672 +2025-07-02 01:34:05,634 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:23:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5825, top5_acc: 0.9081, loss_cls: 1.8408, loss: 1.8408 +2025-07-02 01:34:20,604 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:19:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5775, top5_acc: 0.9106, loss_cls: 1.8089, loss: 1.8089 +2025-07-02 01:34:35,932 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:15:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6144, top5_acc: 0.9194, loss_cls: 1.6979, loss: 1.6979 +2025-07-02 01:34:51,254 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:12:48, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6200, top5_acc: 0.9194, loss_cls: 1.6937, loss: 1.6937 +2025-07-02 01:35:06,521 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:09:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6100, top5_acc: 0.9263, loss_cls: 1.6577, loss: 1.6577 +2025-07-02 01:35:21,774 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:07:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6456, top5_acc: 0.9294, loss_cls: 1.5826, loss: 1.5826 +2025-07-02 01:35:36,976 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:04:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6444, top5_acc: 0.9469, loss_cls: 1.5322, loss: 1.5322 +2025-07-02 01:35:52,283 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 8:02:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6419, top5_acc: 0.9281, loss_cls: 1.5494, loss: 1.5494 +2025-07-02 01:36:07,934 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 8:01:23, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.6706, top5_acc: 0.9425, loss_cls: 1.4685, loss: 1.4685 +2025-07-02 01:36:20,426 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 01:36:43,575 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:36:43,586 - pyskl - INFO - +top1_acc 0.6838 +top5_acc 0.9641 +2025-07-02 01:36:43,592 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_1.pth was removed +2025-07-02 01:36:43,725 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 01:36:43,726 - pyskl - INFO - Best top1_acc is 0.6838 at 2 epoch. +2025-07-02 01:36:43,727 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.6838, top5_acc: 0.9641 +2025-07-02 01:37:19,439 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:08:16, time: 0.357, data_time: 0.205, memory: 3565, top1_acc: 0.6794, top5_acc: 0.9431, loss_cls: 1.4284, loss: 1.4284 +2025-07-02 01:37:34,581 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:06:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6931, top5_acc: 0.9500, loss_cls: 1.4090, loss: 1.4090 +2025-07-02 01:37:49,757 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:04:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7044, top5_acc: 0.9519, loss_cls: 1.3454, loss: 1.3454 +2025-07-02 01:38:05,106 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 8:02:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6850, top5_acc: 0.9481, loss_cls: 1.4128, loss: 1.4128 +2025-07-02 01:38:20,404 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 8:00:46, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6925, top5_acc: 0.9456, loss_cls: 1.3760, loss: 1.3760 +2025-07-02 01:38:35,689 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:59:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7212, top5_acc: 0.9637, loss_cls: 1.2557, loss: 1.2557 +2025-07-02 01:38:50,889 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:57:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7194, top5_acc: 0.9537, loss_cls: 1.2989, loss: 1.2989 +2025-07-02 01:39:06,089 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:56:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7400, top5_acc: 0.9606, loss_cls: 1.2238, loss: 1.2238 +2025-07-02 01:39:21,391 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:54:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7169, top5_acc: 0.9550, loss_cls: 1.2838, loss: 1.2838 +2025-07-02 01:39:36,601 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:53:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7344, top5_acc: 0.9531, loss_cls: 1.2503, loss: 1.2503 +2025-07-02 01:39:51,684 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:52:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7350, top5_acc: 0.9575, loss_cls: 1.2522, loss: 1.2522 +2025-07-02 01:40:04,160 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 01:40:26,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:40:26,681 - pyskl - INFO - +top1_acc 0.7163 +top5_acc 0.9771 +2025-07-02 01:40:26,685 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_2.pth was removed +2025-07-02 01:40:26,800 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 01:40:26,801 - pyskl - INFO - Best top1_acc is 0.7163 at 3 epoch. +2025-07-02 01:40:26,802 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7163, top5_acc: 0.9771 +2025-07-02 01:41:02,407 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:56:51, time: 0.356, data_time: 0.203, memory: 3565, top1_acc: 0.7531, top5_acc: 0.9600, loss_cls: 1.1782, loss: 1.1782 +2025-07-02 01:41:17,734 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:55:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7762, top5_acc: 0.9606, loss_cls: 1.1258, loss: 1.1258 +2025-07-02 01:41:33,105 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:54:31, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7375, top5_acc: 0.9550, loss_cls: 1.2230, loss: 1.2230 +2025-07-02 01:41:48,396 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:53:23, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7562, top5_acc: 0.9613, loss_cls: 1.1504, loss: 1.1504 +2025-07-02 01:42:03,522 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:52:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7506, top5_acc: 0.9706, loss_cls: 1.1281, loss: 1.1281 +2025-07-02 01:42:18,644 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:51:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7481, top5_acc: 0.9544, loss_cls: 1.1990, loss: 1.1990 +2025-07-02 01:42:33,784 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:49:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7600, top5_acc: 0.9519, loss_cls: 1.1693, loss: 1.1693 +2025-07-02 01:42:48,877 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:48:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7612, top5_acc: 0.9544, loss_cls: 1.1912, loss: 1.1912 +2025-07-02 01:43:04,050 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:47:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7681, top5_acc: 0.9550, loss_cls: 1.1478, loss: 1.1478 +2025-07-02 01:43:19,302 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:46:51, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7606, top5_acc: 0.9531, loss_cls: 1.1834, loss: 1.1834 +2025-07-02 01:43:34,389 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:45:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7800, top5_acc: 0.9675, loss_cls: 1.0549, loss: 1.0549 +2025-07-02 01:43:46,738 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 01:44:09,128 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:44:09,137 - pyskl - INFO - +top1_acc 0.7237 +top5_acc 0.9675 +2025-07-02 01:44:09,141 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_3.pth was removed +2025-07-02 01:44:09,253 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 01:44:09,254 - pyskl - INFO - Best top1_acc is 0.7237 at 4 epoch. +2025-07-02 01:44:09,254 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7237, top5_acc: 0.9675 +2025-07-02 01:44:44,928 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:49:23, time: 0.357, data_time: 0.204, memory: 3565, top1_acc: 0.7812, top5_acc: 0.9669, loss_cls: 1.0582, loss: 1.0582 +2025-07-02 01:45:00,033 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:48:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7887, top5_acc: 0.9712, loss_cls: 1.0107, loss: 1.0107 +2025-07-02 01:45:15,240 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:47:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9656, loss_cls: 1.0547, loss: 1.0547 +2025-07-02 01:45:30,469 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:46:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7719, top5_acc: 0.9656, loss_cls: 1.0564, loss: 1.0564 +2025-07-02 01:45:45,962 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:45:49, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7925, top5_acc: 0.9669, loss_cls: 1.0243, loss: 1.0243 +2025-07-02 01:46:01,160 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:44:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7831, top5_acc: 0.9650, loss_cls: 1.0467, loss: 1.0467 +2025-07-02 01:46:16,365 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:44:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7863, top5_acc: 0.9625, loss_cls: 1.0500, loss: 1.0500 +2025-07-02 01:46:31,702 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:43:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7806, top5_acc: 0.9663, loss_cls: 1.0427, loss: 1.0427 +2025-07-02 01:46:46,900 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:42:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7944, top5_acc: 0.9606, loss_cls: 1.0249, loss: 1.0249 +2025-07-02 01:47:01,984 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:41:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8050, top5_acc: 0.9637, loss_cls: 1.0002, loss: 1.0002 +2025-07-02 01:47:16,968 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:40:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8069, top5_acc: 0.9719, loss_cls: 0.9572, loss: 0.9572 +2025-07-02 01:47:29,170 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 01:47:51,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:47:51,616 - pyskl - INFO - +top1_acc 0.8051 +top5_acc 0.9834 +2025-07-02 01:47:51,619 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_4.pth was removed +2025-07-02 01:47:51,733 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 01:47:51,734 - pyskl - INFO - Best top1_acc is 0.8051 at 5 epoch. +2025-07-02 01:47:51,735 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.8051, top5_acc: 0.9834 +2025-07-02 01:48:27,167 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:43:32, time: 0.354, data_time: 0.203, memory: 3565, top1_acc: 0.7963, top5_acc: 0.9637, loss_cls: 0.9927, loss: 0.9927 +2025-07-02 01:48:42,375 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:42:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9712, loss_cls: 0.9792, loss: 0.9792 +2025-07-02 01:48:57,493 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:41:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9756, loss_cls: 0.9569, loss: 0.9569 +2025-07-02 01:49:12,620 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:41:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9756, loss_cls: 0.9603, loss: 0.9603 +2025-07-02 01:49:27,813 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:40:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9700, loss_cls: 0.9950, loss: 0.9950 +2025-07-02 01:49:43,029 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:39:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9769, loss_cls: 0.9287, loss: 0.9287 +2025-07-02 01:49:58,299 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:39:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9719, loss_cls: 0.9683, loss: 0.9683 +2025-07-02 01:50:13,573 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:38:23, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9725, loss_cls: 0.9198, loss: 0.9198 +2025-07-02 01:50:28,699 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:37:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8156, top5_acc: 0.9731, loss_cls: 0.9200, loss: 0.9200 +2025-07-02 01:50:43,889 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:37:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9663, loss_cls: 0.9661, loss: 0.9661 +2025-07-02 01:50:58,954 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:36:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9731, loss_cls: 0.9231, loss: 0.9231 +2025-07-02 01:51:11,147 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 01:51:33,603 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:51:33,613 - pyskl - INFO - +top1_acc 0.8114 +top5_acc 0.9852 +2025-07-02 01:51:33,617 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_5.pth was removed +2025-07-02 01:51:33,728 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 01:51:33,728 - pyskl - INFO - Best top1_acc is 0.8114 at 6 epoch. +2025-07-02 01:51:33,729 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.8114, top5_acc: 0.9852 +2025-07-02 01:52:09,451 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:38:35, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9769, loss_cls: 0.8853, loss: 0.8853 +2025-07-02 01:52:24,541 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:37:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9700, loss_cls: 0.8593, loss: 0.8593 +2025-07-02 01:52:39,620 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:37:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9694, loss_cls: 0.9224, loss: 0.9224 +2025-07-02 01:52:54,744 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:36:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9806, loss_cls: 0.8156, loss: 0.8156 +2025-07-02 01:53:09,901 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:35:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9700, loss_cls: 0.8552, loss: 0.8552 +2025-07-02 01:53:25,044 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:35:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 0.8495, loss: 0.8495 +2025-07-02 01:53:40,304 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:34:36, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 0.8885, loss: 0.8885 +2025-07-02 01:53:55,568 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:34:01, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8144, top5_acc: 0.9700, loss_cls: 0.8929, loss: 0.8929 +2025-07-02 01:54:10,823 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:33:26, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9825, loss_cls: 0.8180, loss: 0.8180 +2025-07-02 01:54:26,150 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:32:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 0.9332, loss: 0.9332 +2025-07-02 01:54:41,522 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:32:22, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 0.8139, loss: 0.8139 +2025-07-02 01:54:54,087 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 01:55:16,615 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:55:16,625 - pyskl - INFO - +top1_acc 0.7877 +top5_acc 0.9763 +2025-07-02 01:55:16,625 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.7877, top5_acc: 0.9763 +2025-07-02 01:55:52,154 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:34:11, time: 0.355, data_time: 0.204, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 0.8148, loss: 0.8148 +2025-07-02 01:56:07,187 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:33:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9769, loss_cls: 0.7774, loss: 0.7774 +2025-07-02 01:56:22,328 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:32:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9756, loss_cls: 0.8602, loss: 0.8602 +2025-07-02 01:56:37,482 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:32:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9738, loss_cls: 0.8152, loss: 0.8152 +2025-07-02 01:56:52,711 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:31:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9825, loss_cls: 0.7843, loss: 0.7843 +2025-07-02 01:57:07,866 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:31:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9744, loss_cls: 0.8304, loss: 0.8304 +2025-07-02 01:57:23,095 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:30:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9800, loss_cls: 0.8482, loss: 0.8482 +2025-07-02 01:57:38,234 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:30:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9719, loss_cls: 0.8348, loss: 0.8348 +2025-07-02 01:57:53,348 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:29:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 0.8526, loss: 0.8526 +2025-07-02 01:58:08,662 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:28:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9700, loss_cls: 0.8145, loss: 0.8145 +2025-07-02 01:58:23,864 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:28:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8350, top5_acc: 0.9769, loss_cls: 0.8153, loss: 0.8153 +2025-07-02 01:58:36,239 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 01:58:58,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:58:58,743 - pyskl - INFO - +top1_acc 0.8425 +top5_acc 0.9874 +2025-07-02 01:58:58,747 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_6.pth was removed +2025-07-02 01:58:58,862 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 01:58:58,863 - pyskl - INFO - Best top1_acc is 0.8425 at 8 epoch. +2025-07-02 01:58:58,864 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8425, top5_acc: 0.9874 +2025-07-02 01:59:35,149 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:30:13, time: 0.363, data_time: 0.210, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9769, loss_cls: 0.8203, loss: 0.8203 +2025-07-02 01:59:50,205 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:29:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9781, loss_cls: 0.7758, loss: 0.7758 +2025-07-02 02:00:05,450 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:29:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9812, loss_cls: 0.7704, loss: 0.7704 +2025-07-02 02:00:20,623 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:28:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9706, loss_cls: 0.7916, loss: 0.7916 +2025-07-02 02:00:35,937 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:28:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9794, loss_cls: 0.8244, loss: 0.8244 +2025-07-02 02:00:51,150 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:27:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9762, loss_cls: 0.8201, loss: 0.8201 +2025-07-02 02:01:06,396 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:27:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 0.7545, loss: 0.7545 +2025-07-02 02:01:21,573 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:26:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8244, top5_acc: 0.9756, loss_cls: 0.8664, loss: 0.8664 +2025-07-02 02:01:36,787 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:26:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9806, loss_cls: 0.8307, loss: 0.8307 +2025-07-02 02:01:52,213 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:25:34, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9756, loss_cls: 0.7939, loss: 0.7939 +2025-07-02 02:02:07,494 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:25:06, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9762, loss_cls: 0.7688, loss: 0.7688 +2025-07-02 02:02:19,863 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 02:02:42,457 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:02:42,467 - pyskl - INFO - +top1_acc 0.8665 +top5_acc 0.9882 +2025-07-02 02:02:42,470 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_8.pth was removed +2025-07-02 02:02:42,581 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 02:02:42,581 - pyskl - INFO - Best top1_acc is 0.8665 at 9 epoch. +2025-07-02 02:02:42,582 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8665, top5_acc: 0.9882 +2025-07-02 02:03:18,238 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:26:26, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 0.7529, loss: 0.7529 +2025-07-02 02:03:33,194 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:25:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9769, loss_cls: 0.7527, loss: 0.7527 +2025-07-02 02:03:48,441 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:25:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9819, loss_cls: 0.7713, loss: 0.7713 +2025-07-02 02:04:03,603 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:24:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9750, loss_cls: 0.7760, loss: 0.7760 +2025-07-02 02:04:18,582 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:24:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6652, loss: 0.6652 +2025-07-02 02:04:33,545 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:23:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9719, loss_cls: 0.7747, loss: 0.7747 +2025-07-02 02:04:48,528 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:23:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 0.7575, loss: 0.7575 +2025-07-02 02:05:03,604 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:22:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 0.7723, loss: 0.7723 +2025-07-02 02:05:18,753 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:22:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 0.7763, loss: 0.7763 +2025-07-02 02:05:33,939 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:21:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9788, loss_cls: 0.7369, loss: 0.7369 +2025-07-02 02:05:49,226 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:21:19, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 0.6914, loss: 0.6914 +2025-07-02 02:06:01,693 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 02:06:24,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:06:24,510 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9859 +2025-07-02 02:06:24,513 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_9.pth was removed +2025-07-02 02:06:24,622 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 02:06:24,623 - pyskl - INFO - Best top1_acc is 0.8706 at 10 epoch. +2025-07-02 02:06:24,624 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8706, top5_acc: 0.9859 +2025-07-02 02:07:00,098 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:22:26, time: 0.355, data_time: 0.203, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6484, loss: 0.6484 +2025-07-02 02:07:15,250 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:21:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 0.7385, loss: 0.7385 +2025-07-02 02:07:30,378 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:21:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9825, loss_cls: 0.7273, loss: 0.7273 +2025-07-02 02:07:45,713 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:21:01, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 0.6915, loss: 0.6915 +2025-07-02 02:08:00,931 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:20:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9744, loss_cls: 0.7663, loss: 0.7663 +2025-07-02 02:08:16,087 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:20:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 0.7008, loss: 0.7008 +2025-07-02 02:08:31,206 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:19:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 0.7000, loss: 0.7000 +2025-07-02 02:08:46,302 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:19:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9825, loss_cls: 0.7752, loss: 0.7752 +2025-07-02 02:09:01,431 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:18:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 0.7449, loss: 0.7449 +2025-07-02 02:09:16,803 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:18:15, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 0.7941, loss: 0.7941 +2025-07-02 02:09:32,121 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:17:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9800, loss_cls: 0.6907, loss: 0.6907 +2025-07-02 02:09:44,580 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 02:10:07,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:10:07,106 - pyskl - INFO - +top1_acc 0.8820 +top5_acc 0.9908 +2025-07-02 02:10:07,109 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_10.pth was removed +2025-07-02 02:10:07,218 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 02:10:07,218 - pyskl - INFO - Best top1_acc is 0.8820 at 11 epoch. +2025-07-02 02:10:07,219 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8820, top5_acc: 0.9908 +2025-07-02 02:10:42,878 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:18:50, time: 0.357, data_time: 0.205, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9844, loss_cls: 0.7107, loss: 0.7107 +2025-07-02 02:10:58,086 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:18:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 0.6585, loss: 0.6585 +2025-07-02 02:11:13,152 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:17:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9794, loss_cls: 0.6968, loss: 0.6968 +2025-07-02 02:11:28,223 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:17:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9769, loss_cls: 0.7661, loss: 0.7661 +2025-07-02 02:11:43,292 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:16:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 0.7283, loss: 0.7283 +2025-07-02 02:11:58,300 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:16:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 0.6908, loss: 0.6908 +2025-07-02 02:12:13,323 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:16:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 0.6255, loss: 0.6255 +2025-07-02 02:12:28,315 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:15:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6606, loss: 0.6606 +2025-07-02 02:12:43,538 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:15:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 0.6532, loss: 0.6532 +2025-07-02 02:12:58,740 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:14:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7138, loss: 0.7138 +2025-07-02 02:13:13,864 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:14:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 0.6732, loss: 0.6732 +2025-07-02 02:13:26,209 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 02:13:48,771 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:13:48,781 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9856 +2025-07-02 02:13:48,782 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8524, top5_acc: 0.9856 +2025-07-02 02:14:24,669 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:15:10, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9744, loss_cls: 0.7325, loss: 0.7325 +2025-07-02 02:14:39,920 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:14:45, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 0.6640, loss: 0.6640 +2025-07-02 02:14:55,079 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:14:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 0.7093, loss: 0.7093 +2025-07-02 02:15:10,325 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:13:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9875, loss_cls: 0.6742, loss: 0.6742 +2025-07-02 02:15:25,480 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:13:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 0.6703, loss: 0.6703 +2025-07-02 02:15:40,656 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:13:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 0.6387, loss: 0.6387 +2025-07-02 02:15:55,799 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:12:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9881, loss_cls: 0.6199, loss: 0.6199 +2025-07-02 02:16:10,883 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:12:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9825, loss_cls: 0.7192, loss: 0.7192 +2025-07-02 02:16:26,017 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:11:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6574, loss: 0.6574 +2025-07-02 02:16:41,154 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:11:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9819, loss_cls: 0.6633, loss: 0.6633 +2025-07-02 02:16:56,465 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:10:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 0.6860, loss: 0.6860 +2025-07-02 02:17:09,171 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 02:17:31,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:17:31,749 - pyskl - INFO - +top1_acc 0.8894 +top5_acc 0.9941 +2025-07-02 02:17:31,753 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_11.pth was removed +2025-07-02 02:17:31,864 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-02 02:17:31,865 - pyskl - INFO - Best top1_acc is 0.8894 at 13 epoch. +2025-07-02 02:17:31,866 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8894, top5_acc: 0.9941 +2025-07-02 02:18:07,763 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:11:44, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9788, loss_cls: 0.6592, loss: 0.6592 +2025-07-02 02:18:22,924 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:11:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9744, loss_cls: 0.7069, loss: 0.7069 +2025-07-02 02:18:38,193 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:10:54, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9800, loss_cls: 0.6339, loss: 0.6339 +2025-07-02 02:18:53,312 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:10:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6402, loss: 0.6402 +2025-07-02 02:19:08,574 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:10:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 0.6653, loss: 0.6653 +2025-07-02 02:19:23,939 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:09:42, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 0.5968, loss: 0.5968 +2025-07-02 02:19:39,127 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:09:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9819, loss_cls: 0.6883, loss: 0.6883 +2025-07-02 02:19:54,305 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:08:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9812, loss_cls: 0.6871, loss: 0.6871 +2025-07-02 02:20:09,459 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:08:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 0.6768, loss: 0.6768 +2025-07-02 02:20:24,649 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:08:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 0.6866, loss: 0.6866 +2025-07-02 02:20:39,680 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:07:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 0.6783, loss: 0.6783 +2025-07-02 02:20:51,968 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 02:21:14,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:21:14,211 - pyskl - INFO - +top1_acc 0.8536 +top5_acc 0.9882 +2025-07-02 02:21:14,212 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8536, top5_acc: 0.9882 +2025-07-02 02:21:49,819 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:08:18, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6529, loss: 0.6529 +2025-07-02 02:22:04,977 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:07:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 0.5900, loss: 0.5900 +2025-07-02 02:22:20,145 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:07:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9775, loss_cls: 0.6776, loss: 0.6776 +2025-07-02 02:22:35,632 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:07:08, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6246, loss: 0.6246 +2025-07-02 02:22:50,870 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:06:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 0.6541, loss: 0.6541 +2025-07-02 02:23:06,196 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:06:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.5647, loss: 0.5647 +2025-07-02 02:23:21,582 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:06:00, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 0.6410, loss: 0.6410 +2025-07-02 02:23:36,906 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:05:37, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 0.6840, loss: 0.6840 +2025-07-02 02:23:52,207 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:05:15, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9894, loss_cls: 0.5959, loss: 0.5959 +2025-07-02 02:24:07,482 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:04:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 0.6889, loss: 0.6889 +2025-07-02 02:24:22,746 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:04:29, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9794, loss_cls: 0.6309, loss: 0.6309 +2025-07-02 02:24:35,148 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 02:24:57,869 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:24:57,880 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9885 +2025-07-02 02:24:57,880 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8891, top5_acc: 0.9885 +2025-07-02 02:25:33,413 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:05:04, time: 0.355, data_time: 0.203, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.5877, loss: 0.5877 +2025-07-02 02:25:48,572 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:04:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 0.6514, loss: 0.6514 +2025-07-02 02:26:03,817 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:04:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 0.6539, loss: 0.6539 +2025-07-02 02:26:19,203 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:03:55, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 0.6376, loss: 0.6376 +2025-07-02 02:26:34,439 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:03:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9812, loss_cls: 0.6477, loss: 0.6477 +2025-07-02 02:26:49,634 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:03:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 0.6618, loss: 0.6618 +2025-07-02 02:27:04,817 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:02:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 0.6127, loss: 0.6127 +2025-07-02 02:27:19,923 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:02:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 0.6857, loss: 0.6857 +2025-07-02 02:27:35,153 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:01:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 0.6389, loss: 0.6389 +2025-07-02 02:27:50,354 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 7:01:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9900, loss_cls: 0.6032, loss: 0.6032 +2025-07-02 02:28:05,505 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 7:01:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6366, loss: 0.6366 +2025-07-02 02:28:17,925 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 02:28:40,448 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:28:40,458 - pyskl - INFO - +top1_acc 0.8687 +top5_acc 0.9896 +2025-07-02 02:28:40,459 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8687, top5_acc: 0.9896 +2025-07-02 02:29:16,052 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:01:43, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 0.5826, loss: 0.5826 +2025-07-02 02:29:31,213 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 7:01:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9819, loss_cls: 0.6548, loss: 0.6548 +2025-07-02 02:29:46,592 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 7:00:58, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 0.6211, loss: 0.6211 +2025-07-02 02:30:01,906 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 7:00:36, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 0.6055, loss: 0.6055 +2025-07-02 02:30:17,090 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 7:00:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9825, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 02:30:32,092 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:59:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9838, loss_cls: 0.5649, loss: 0.5649 +2025-07-02 02:30:47,222 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:59:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.6099, loss: 0.6099 +2025-07-02 02:31:02,360 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:59:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.5876, loss: 0.5876 +2025-07-02 02:31:17,634 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:58:41, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9812, loss_cls: 0.6168, loss: 0.6168 +2025-07-02 02:31:32,787 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:58:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.6220, loss: 0.6220 +2025-07-02 02:31:47,990 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:57:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5575, loss: 0.5575 +2025-07-02 02:32:00,461 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 02:32:22,803 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:32:22,813 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9889 +2025-07-02 02:32:22,813 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8768, top5_acc: 0.9889 +2025-07-02 02:32:58,795 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:58:26, time: 0.360, data_time: 0.204, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9912, loss_cls: 0.6033, loss: 0.6033 +2025-07-02 02:33:14,135 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:58:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9844, loss_cls: 0.6375, loss: 0.6375 +2025-07-02 02:33:29,417 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:57:43, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 02:33:44,799 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:57:22, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6265, loss: 0.6265 +2025-07-02 02:34:00,024 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:57:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 0.6499, loss: 0.6499 +2025-07-02 02:34:15,209 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:56:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6350, loss: 0.6350 +2025-07-02 02:34:30,380 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:56:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9844, loss_cls: 0.5589, loss: 0.5589 +2025-07-02 02:34:45,634 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:55:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 0.6051, loss: 0.6051 +2025-07-02 02:35:00,749 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:55:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5757, loss: 0.5757 +2025-07-02 02:35:15,956 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:55:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.5803, loss: 0.5803 +2025-07-02 02:35:31,191 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:54:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.5926, loss: 0.5926 +2025-07-02 02:35:43,592 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 02:36:06,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:36:06,115 - pyskl - INFO - +top1_acc 0.8776 +top5_acc 0.9760 +2025-07-02 02:36:06,116 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8776, top5_acc: 0.9760 +2025-07-02 02:36:41,786 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:55:11, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5330, loss: 0.5330 +2025-07-02 02:36:57,007 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:54:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5808, loss: 0.5808 +2025-07-02 02:37:12,178 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:54:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5609, loss: 0.5609 +2025-07-02 02:37:27,394 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:54:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6165, loss: 0.6165 +2025-07-02 02:37:42,636 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:53:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 0.5816, loss: 0.5816 +2025-07-02 02:37:57,815 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:53:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.5847, loss: 0.5847 +2025-07-02 02:38:12,994 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:53:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 0.6028, loss: 0.6028 +2025-07-02 02:38:28,203 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:52:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 0.6482, loss: 0.6482 +2025-07-02 02:38:43,457 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:52:17, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5364, loss: 0.5364 +2025-07-02 02:38:58,661 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:51:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9812, loss_cls: 0.5332, loss: 0.5332 +2025-07-02 02:39:13,879 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:51:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 02:39:26,261 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 02:39:48,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:39:48,678 - pyskl - INFO - +top1_acc 0.8336 +top5_acc 0.9830 +2025-07-02 02:39:48,678 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8336, top5_acc: 0.9830 +2025-07-02 02:40:24,461 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:51:56, time: 0.358, data_time: 0.206, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5315, loss: 0.5315 +2025-07-02 02:40:39,554 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:51:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9800, loss_cls: 0.6208, loss: 0.6208 +2025-07-02 02:40:54,740 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:51:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.5784, loss: 0.5784 +2025-07-02 02:41:10,047 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:50:51, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 0.6103, loss: 0.6103 +2025-07-02 02:41:25,386 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:50:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5916, loss: 0.5916 +2025-07-02 02:41:40,598 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:50:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6039, loss: 0.6039 +2025-07-02 02:41:55,751 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:49:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5326, loss: 0.5326 +2025-07-02 02:42:10,849 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:49:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 0.6362, loss: 0.6362 +2025-07-02 02:42:25,975 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:49:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 0.5724, loss: 0.5724 +2025-07-02 02:42:41,169 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:48:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6081, loss: 0.6081 +2025-07-02 02:42:56,259 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:48:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9825, loss_cls: 0.5670, loss: 0.5670 +2025-07-02 02:43:08,560 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 02:43:31,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:43:31,423 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9893 +2025-07-02 02:43:31,424 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8794, top5_acc: 0.9893 +2025-07-02 02:44:07,451 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:48:40, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5674, loss: 0.5674 +2025-07-02 02:44:22,591 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:48:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 02:44:37,838 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:47:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5490, loss: 0.5490 +2025-07-02 02:44:53,024 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:47:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.5544, loss: 0.5544 +2025-07-02 02:45:08,218 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:47:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9819, loss_cls: 0.5807, loss: 0.5807 +2025-07-02 02:45:23,393 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:46:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 02:45:38,538 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:46:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5773, loss: 0.5773 +2025-07-02 02:45:53,747 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:46:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 0.5938, loss: 0.5938 +2025-07-02 02:46:09,004 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:45:51, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5783, loss: 0.5783 +2025-07-02 02:46:24,163 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:45:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9838, loss_cls: 0.5690, loss: 0.5690 +2025-07-02 02:46:39,182 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:45:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6236, loss: 0.6236 +2025-07-02 02:46:51,491 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 02:47:14,189 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:47:14,199 - pyskl - INFO - +top1_acc 0.8550 +top5_acc 0.9878 +2025-07-02 02:47:14,199 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8550, top5_acc: 0.9878 +2025-07-02 02:47:50,197 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:45:25, time: 0.360, data_time: 0.208, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 02:48:05,465 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:45:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9819, loss_cls: 0.5868, loss: 0.5868 +2025-07-02 02:48:20,801 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:44:45, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5298, loss: 0.5298 +2025-07-02 02:48:35,994 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:44:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5314, loss: 0.5314 +2025-07-02 02:48:51,143 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:44:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5580, loss: 0.5580 +2025-07-02 02:49:06,255 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:43:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5184, loss: 0.5184 +2025-07-02 02:49:21,384 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:43:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 0.5461, loss: 0.5461 +2025-07-02 02:49:36,651 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:43:00, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5626, loss: 0.5626 +2025-07-02 02:49:51,892 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:42:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9825, loss_cls: 0.5419, loss: 0.5419 +2025-07-02 02:50:07,198 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:42:19, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5578, loss: 0.5578 +2025-07-02 02:50:22,472 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:41:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6025, loss: 0.6025 +2025-07-02 02:50:34,878 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 02:50:57,263 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:50:57,274 - pyskl - INFO - +top1_acc 0.8780 +top5_acc 0.9885 +2025-07-02 02:50:57,274 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8780, top5_acc: 0.9885 +2025-07-02 02:51:33,609 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:42:16, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9881, loss_cls: 0.5975, loss: 0.5975 +2025-07-02 02:51:48,680 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:41:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5319, loss: 0.5319 +2025-07-02 02:52:03,907 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:41:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5306, loss: 0.5306 +2025-07-02 02:52:19,293 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:41:15, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.5286, loss: 0.5286 +2025-07-02 02:52:34,559 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:40:54, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.5994, loss: 0.5994 +2025-07-02 02:52:49,654 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:40:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 0.5756, loss: 0.5756 +2025-07-02 02:53:04,672 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:40:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5222, loss: 0.5222 +2025-07-02 02:53:19,791 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:39:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5262, loss: 0.5262 +2025-07-02 02:53:35,060 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:39:31, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 0.5582, loss: 0.5582 +2025-07-02 02:53:50,228 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:39:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9844, loss_cls: 0.5507, loss: 0.5507 +2025-07-02 02:54:05,396 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:38:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 0.5979, loss: 0.5979 +2025-07-02 02:54:17,779 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 02:54:40,234 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:54:40,244 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9911 +2025-07-02 02:54:40,244 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8854, top5_acc: 0.9911 +2025-07-02 02:55:16,318 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:39:03, time: 0.361, data_time: 0.209, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 0.5593, loss: 0.5593 +2025-07-02 02:55:31,535 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:38:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5670, loss: 0.5670 +2025-07-02 02:55:46,905 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:38:23, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5294, loss: 0.5294 +2025-07-02 02:56:02,100 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:38:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 0.5565, loss: 0.5565 +2025-07-02 02:56:17,324 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:37:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5398, loss: 0.5398 +2025-07-02 02:56:32,668 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:37:23, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 02:56:47,926 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:37:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 02:57:03,182 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:36:43, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9812, loss_cls: 0.6004, loss: 0.6004 +2025-07-02 02:57:18,372 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:36:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 02:57:33,596 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:36:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 0.5897, loss: 0.5897 +2025-07-02 02:57:48,763 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:35:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5115, loss: 0.5115 +2025-07-02 02:58:01,164 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 02:58:23,928 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:58:23,939 - pyskl - INFO - +top1_acc 0.8780 +top5_acc 0.9926 +2025-07-02 02:58:23,939 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8780, top5_acc: 0.9926 +2025-07-02 02:58:59,775 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:35:52, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5362, loss: 0.5362 +2025-07-02 02:59:14,950 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:35:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9819, loss_cls: 0.5278, loss: 0.5278 +2025-07-02 02:59:30,207 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:35:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.4989, loss: 0.4989 +2025-07-02 02:59:45,333 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:34:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5131, loss: 0.5131 +2025-07-02 03:00:00,489 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:34:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.5365, loss: 0.5365 +2025-07-02 03:00:15,660 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:34:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.5815, loss: 0.5815 +2025-07-02 03:00:30,813 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:33:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.5650, loss: 0.5650 +2025-07-02 03:00:45,816 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:33:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9838, loss_cls: 0.5727, loss: 0.5727 +2025-07-02 03:01:00,894 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:33:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 0.6165, loss: 0.6165 +2025-07-02 03:01:15,983 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:32:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9838, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 03:01:31,107 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:32:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.4806, loss: 0.4806 +2025-07-02 03:01:43,469 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 03:02:06,221 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:02:06,231 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9930 +2025-07-02 03:02:06,236 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_13.pth was removed +2025-07-02 03:02:06,349 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-02 03:02:06,350 - pyskl - INFO - Best top1_acc is 0.8961 at 25 epoch. +2025-07-02 03:02:06,350 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8961, top5_acc: 0.9930 +2025-07-02 03:02:42,719 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:32:39, time: 0.364, data_time: 0.211, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9856, loss_cls: 0.5283, loss: 0.5283 +2025-07-02 03:02:58,049 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:32:19, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5653, loss: 0.5653 +2025-07-02 03:03:13,219 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:31:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9125, top5_acc: 0.9869, loss_cls: 0.4713, loss: 0.4713 +2025-07-02 03:03:28,452 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:31:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.4698, loss: 0.4698 +2025-07-02 03:03:43,766 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:31:20, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.5075, loss: 0.5075 +2025-07-02 03:03:58,906 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:31:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.5390, loss: 0.5390 +2025-07-02 03:04:14,049 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:30:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 03:04:29,155 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:30:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9819, loss_cls: 0.5589, loss: 0.5589 +2025-07-02 03:04:44,339 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:30:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5652, loss: 0.5652 +2025-07-02 03:04:59,768 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:29:41, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9831, loss_cls: 0.5833, loss: 0.5833 +2025-07-02 03:05:15,149 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:29:22, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4792, loss: 0.4792 +2025-07-02 03:05:27,698 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 03:05:50,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:05:50,197 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9878 +2025-07-02 03:05:50,197 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8913, top5_acc: 0.9878 +2025-07-02 03:06:26,670 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:29:32, time: 0.365, data_time: 0.212, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5233, loss: 0.5233 +2025-07-02 03:06:42,111 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:29:13, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.4729, loss: 0.4729 +2025-07-02 03:06:57,434 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:28:54, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9912, loss_cls: 0.5523, loss: 0.5523 +2025-07-02 03:07:12,766 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:28:34, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9850, loss_cls: 0.5064, loss: 0.5064 +2025-07-02 03:07:27,994 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:28:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9931, loss_cls: 0.5208, loss: 0.5208 +2025-07-02 03:07:43,240 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:27:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 03:07:58,467 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:27:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 0.5043, loss: 0.5043 +2025-07-02 03:08:13,618 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:27:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9856, loss_cls: 0.5086, loss: 0.5086 +2025-07-02 03:08:28,638 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:26:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 0.5722, loss: 0.5722 +2025-07-02 03:08:43,808 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:26:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 0.5543, loss: 0.5543 +2025-07-02 03:08:58,973 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:26:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5294, loss: 0.5294 +2025-07-02 03:09:11,343 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 03:09:33,863 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:09:33,874 - pyskl - INFO - +top1_acc 0.8517 +top5_acc 0.9900 +2025-07-02 03:09:33,874 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8517, top5_acc: 0.9900 +2025-07-02 03:10:10,153 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:26:23, time: 0.363, data_time: 0.211, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.4924, loss: 0.4924 +2025-07-02 03:10:25,413 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:26:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5013, loss: 0.5013 +2025-07-02 03:10:40,739 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:25:44, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5210, loss: 0.5210 +2025-07-02 03:10:55,859 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:25:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 03:11:10,850 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:25:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5228, loss: 0.5228 +2025-07-02 03:11:25,847 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:24:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4688, loss: 0.4688 +2025-07-02 03:11:40,898 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:24:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9844, loss_cls: 0.5284, loss: 0.5284 +2025-07-02 03:11:56,083 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:24:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5064, loss: 0.5064 +2025-07-02 03:12:11,446 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:23:45, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5190, loss: 0.5190 +2025-07-02 03:12:26,691 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:23:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5220, loss: 0.5220 +2025-07-02 03:12:41,836 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:23:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9819, loss_cls: 0.5835, loss: 0.5835 +2025-07-02 03:12:54,360 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 03:13:16,637 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:13:16,647 - pyskl - INFO - +top1_acc 0.8606 +top5_acc 0.9863 +2025-07-02 03:13:16,647 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8606, top5_acc: 0.9863 +2025-07-02 03:13:52,961 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:23:11, time: 0.363, data_time: 0.211, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9856, loss_cls: 0.5489, loss: 0.5489 +2025-07-02 03:14:08,355 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:22:53, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.4783, loss: 0.4783 +2025-07-02 03:14:23,585 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:22:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9087, top5_acc: 0.9850, loss_cls: 0.5098, loss: 0.5098 +2025-07-02 03:14:38,782 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:22:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4479, loss: 0.4479 +2025-07-02 03:14:53,919 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:21:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5019, loss: 0.5019 +2025-07-02 03:15:09,103 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:21:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5100, loss: 0.5100 +2025-07-02 03:15:24,253 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:21:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5095, loss: 0.5095 +2025-07-02 03:15:39,404 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:20:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5176, loss: 0.5176 +2025-07-02 03:15:54,687 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:20:37, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9819, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 03:16:09,861 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:20:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 03:16:25,013 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:19:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.5563, loss: 0.5563 +2025-07-02 03:16:37,329 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 03:16:59,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:16:59,825 - pyskl - INFO - +top1_acc 0.8772 +top5_acc 0.9926 +2025-07-02 03:16:59,825 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8772, top5_acc: 0.9926 +2025-07-02 03:17:36,782 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:20:05, time: 0.370, data_time: 0.210, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.4911, loss: 0.4911 +2025-07-02 03:17:52,561 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:19:48, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.5117, loss: 0.5117 +2025-07-02 03:18:08,248 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:19:30, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 0.4943, loss: 0.4943 +2025-07-02 03:18:24,048 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:19:13, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.4938, loss: 0.4938 +2025-07-02 03:18:39,887 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:18:57, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5082, loss: 0.5082 +2025-07-02 03:18:55,695 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:18:40, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5447, loss: 0.5447 +2025-07-02 03:19:11,514 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:18:23, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.4995, loss: 0.4995 +2025-07-02 03:19:27,254 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:18:06, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.5568, loss: 0.5568 +2025-07-02 03:19:43,194 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:17:50, time: 0.159, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5220, loss: 0.5220 +2025-07-02 03:19:58,909 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:17:33, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.4962, loss: 0.4962 +2025-07-02 03:20:14,769 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:17:16, time: 0.159, data_time: 0.000, memory: 3565, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 03:20:28,007 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 03:20:50,677 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:20:50,687 - pyskl - INFO - +top1_acc 0.8998 +top5_acc 0.9937 +2025-07-02 03:20:50,690 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_25.pth was removed +2025-07-02 03:20:50,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-02 03:20:50,802 - pyskl - INFO - Best top1_acc is 0.8998 at 30 epoch. +2025-07-02 03:20:50,803 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8998, top5_acc: 0.9937 +2025-07-02 03:21:27,954 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:17:22, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 03:21:43,741 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:17:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5369, loss: 0.5369 +2025-07-02 03:21:59,533 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:16:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.5200, loss: 0.5200 +2025-07-02 03:22:15,286 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:16:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5465, loss: 0.5465 +2025-07-02 03:22:31,030 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:16:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9838, loss_cls: 0.5542, loss: 0.5542 +2025-07-02 03:22:46,718 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:15:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5469, loss: 0.5469 +2025-07-02 03:23:02,427 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:15:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.5206, loss: 0.5206 +2025-07-02 03:23:18,072 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:15:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5611, loss: 0.5611 +2025-07-02 03:23:33,682 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:15:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.5896, loss: 0.5896 +2025-07-02 03:23:49,373 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:14:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5261, loss: 0.5261 +2025-07-02 03:24:05,069 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:14:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 03:24:17,935 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 03:24:40,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:24:40,540 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9874 +2025-07-02 03:24:40,541 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8979, top5_acc: 0.9874 +2025-07-02 03:25:18,430 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:14:37, time: 0.379, data_time: 0.217, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5374, loss: 0.5374 +2025-07-02 03:25:34,204 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:14:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5378, loss: 0.5378 +2025-07-02 03:25:50,185 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:14:03, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5017, loss: 0.5017 +2025-07-02 03:26:06,001 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:13:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5569, loss: 0.5569 +2025-07-02 03:26:21,868 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:13:30, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 0.5907, loss: 0.5907 +2025-07-02 03:26:37,636 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:13:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4770, loss: 0.4770 +2025-07-02 03:26:53,369 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:12:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.4969, loss: 0.4969 +2025-07-02 03:27:09,111 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:12:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9850, loss_cls: 0.5700, loss: 0.5700 +2025-07-02 03:27:24,995 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:12:22, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5298, loss: 0.5298 +2025-07-02 03:27:40,807 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:12:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5303, loss: 0.5303 +2025-07-02 03:27:56,530 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:11:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9931, loss_cls: 0.5814, loss: 0.5814 +2025-07-02 03:28:09,443 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 03:28:32,703 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:28:32,714 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9893 +2025-07-02 03:28:32,718 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_30.pth was removed +2025-07-02 03:28:32,845 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2025-07-02 03:28:32,846 - pyskl - INFO - Best top1_acc is 0.9072 at 32 epoch. +2025-07-02 03:28:32,847 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.9072, top5_acc: 0.9893 +2025-07-02 03:29:10,581 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:11:53, time: 0.377, data_time: 0.215, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4889, loss: 0.4889 +2025-07-02 03:29:26,431 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:11:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4865, loss: 0.4865 +2025-07-02 03:29:42,254 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:11:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5279, loss: 0.5279 +2025-07-02 03:29:58,101 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:11:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.5239, loss: 0.5239 +2025-07-02 03:30:13,799 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:10:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.5129, loss: 0.5129 +2025-07-02 03:30:29,475 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:10:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5390, loss: 0.5390 +2025-07-02 03:30:45,126 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:10:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 0.5854, loss: 0.5854 +2025-07-02 03:31:00,767 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:09:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 0.5823, loss: 0.5823 +2025-07-02 03:31:16,707 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:09:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5353, loss: 0.5353 +2025-07-02 03:31:32,540 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:09:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 0.5236, loss: 0.5236 +2025-07-02 03:31:48,313 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:09:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 0.5144, loss: 0.5144 +2025-07-02 03:32:01,151 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 03:32:23,602 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:32:23,612 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9930 +2025-07-02 03:32:23,616 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_32.pth was removed +2025-07-02 03:32:23,725 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. +2025-07-02 03:32:23,726 - pyskl - INFO - Best top1_acc is 0.9175 at 33 epoch. +2025-07-02 03:32:23,727 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.9175, top5_acc: 0.9930 +2025-07-02 03:33:00,373 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:09:02, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 03:33:16,082 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:08:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5625, loss: 0.5625 +2025-07-02 03:33:31,660 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:08:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.5002, loss: 0.5002 +2025-07-02 03:33:47,218 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:08:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5023, loss: 0.5023 +2025-07-02 03:34:02,771 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:07:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.4817, loss: 0.4817 +2025-07-02 03:34:18,330 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:07:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9862, loss_cls: 0.5338, loss: 0.5338 +2025-07-02 03:34:33,943 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:07:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9819, loss_cls: 0.5093, loss: 0.5093 +2025-07-02 03:34:49,542 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:06:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 0.6592, loss: 0.6592 +2025-07-02 03:35:05,247 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:06:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4635, loss: 0.4635 +2025-07-02 03:35:20,795 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:06:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 0.5320, loss: 0.5320 +2025-07-02 03:35:36,346 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:06:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9812, loss_cls: 0.5619, loss: 0.5619 +2025-07-02 03:35:49,023 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 03:36:11,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:36:11,506 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9941 +2025-07-02 03:36:11,506 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.9075, top5_acc: 0.9941 +2025-07-02 03:36:48,147 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:06:03, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.5121, loss: 0.5121 +2025-07-02 03:37:03,875 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:05:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.5171, loss: 0.5171 +2025-07-02 03:37:19,606 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:05:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4488, loss: 0.4488 +2025-07-02 03:37:35,454 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:05:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9888, loss_cls: 0.4591, loss: 0.4591 +2025-07-02 03:37:51,187 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:04:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5053, loss: 0.5053 +2025-07-02 03:38:06,916 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:04:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4842, loss: 0.4842 +2025-07-02 03:38:22,659 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:04:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5423, loss: 0.5423 +2025-07-02 03:38:38,375 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:04:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5027, loss: 0.5027 +2025-07-02 03:38:54,167 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:03:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5221, loss: 0.5221 +2025-07-02 03:39:09,796 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:03:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.5170, loss: 0.5170 +2025-07-02 03:39:25,371 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:03:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.4868, loss: 0.4868 +2025-07-02 03:39:38,113 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 03:40:00,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:40:00,723 - pyskl - INFO - +top1_acc 0.8805 +top5_acc 0.9911 +2025-07-02 03:40:00,723 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8805, top5_acc: 0.9911 +2025-07-02 03:40:37,096 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:03:07, time: 0.364, data_time: 0.204, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9912, loss_cls: 0.5809, loss: 0.5809 +2025-07-02 03:40:52,799 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:02:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 03:41:08,590 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:02:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5023, loss: 0.5023 +2025-07-02 03:41:24,319 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:02:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.5057, loss: 0.5057 +2025-07-02 03:41:39,945 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 6:01:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 0.5179, loss: 0.5179 +2025-07-02 03:41:55,562 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 6:01:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4797, loss: 0.4797 +2025-07-02 03:42:11,170 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 6:01:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 0.5553, loss: 0.5553 +2025-07-02 03:42:26,756 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 6:01:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5340, loss: 0.5340 +2025-07-02 03:42:42,410 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 6:00:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 0.5595, loss: 0.5595 +2025-07-02 03:42:58,064 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 6:00:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5003, loss: 0.5003 +2025-07-02 03:43:13,722 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 6:00:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4835, loss: 0.4835 +2025-07-02 03:43:26,516 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 03:43:49,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:43:49,421 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9926 +2025-07-02 03:43:49,422 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.8976, top5_acc: 0.9926 +2025-07-02 03:44:26,594 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 6:00:11, time: 0.372, data_time: 0.210, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5264, loss: 0.5264 +2025-07-02 03:44:42,547 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:59:54, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9956, loss_cls: 0.4878, loss: 0.4878 +2025-07-02 03:44:58,436 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:59:37, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4662, loss: 0.4662 +2025-07-02 03:45:14,329 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:59:21, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.4916, loss: 0.4916 +2025-07-02 03:45:29,997 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:59:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4873, loss: 0.4873 +2025-07-02 03:45:45,681 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:58:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 03:46:01,338 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:58:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4597, loss: 0.4597 +2025-07-02 03:46:16,996 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:58:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5659, loss: 0.5659 +2025-07-02 03:46:32,683 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:57:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 0.4952, loss: 0.4952 +2025-07-02 03:46:48,333 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:57:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9919, loss_cls: 0.5057, loss: 0.5057 +2025-07-02 03:47:03,967 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:57:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.5183, loss: 0.5183 +2025-07-02 03:47:16,687 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 03:47:39,151 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:47:39,162 - pyskl - INFO - +top1_acc 0.8994 +top5_acc 0.9941 +2025-07-02 03:47:39,162 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8994, top5_acc: 0.9941 +2025-07-02 03:48:16,139 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:57:15, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4723, loss: 0.4723 +2025-07-02 03:48:31,876 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:56:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4724, loss: 0.4724 +2025-07-02 03:48:47,579 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:56:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4518, loss: 0.4518 +2025-07-02 03:49:03,211 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:56:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4273, loss: 0.4273 +2025-07-02 03:49:18,927 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:56:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4548, loss: 0.4548 +2025-07-02 03:49:34,595 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:55:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4426, loss: 0.4426 +2025-07-02 03:49:50,227 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:55:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5304, loss: 0.5304 +2025-07-02 03:50:05,851 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:55:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5537, loss: 0.5537 +2025-07-02 03:50:21,382 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:54:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5211, loss: 0.5211 +2025-07-02 03:50:37,015 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:54:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5171, loss: 0.5171 +2025-07-02 03:50:52,674 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:54:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.4920, loss: 0.4920 +2025-07-02 03:51:05,394 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 03:51:28,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:51:28,202 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9882 +2025-07-02 03:51:28,203 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.9075, top5_acc: 0.9882 +2025-07-02 03:52:04,754 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:54:15, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 03:52:20,422 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:53:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9919, loss_cls: 0.4937, loss: 0.4937 +2025-07-02 03:52:35,982 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:53:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9881, loss_cls: 0.4735, loss: 0.4735 +2025-07-02 03:52:51,664 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:53:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 0.4668, loss: 0.4668 +2025-07-02 03:53:07,260 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:53:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4751, loss: 0.4751 +2025-07-02 03:53:22,866 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:52:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9875, loss_cls: 0.4670, loss: 0.4670 +2025-07-02 03:53:38,550 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:52:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4953, loss: 0.4953 +2025-07-02 03:53:54,223 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:52:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9888, loss_cls: 0.5055, loss: 0.5055 +2025-07-02 03:54:10,048 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:51:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4685, loss: 0.4685 +2025-07-02 03:54:25,859 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:51:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.5086, loss: 0.5086 +2025-07-02 03:54:41,552 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:51:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.4742, loss: 0.4742 +2025-07-02 03:54:54,254 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 03:55:16,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:55:16,664 - pyskl - INFO - +top1_acc 0.8887 +top5_acc 0.9911 +2025-07-02 03:55:16,664 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8887, top5_acc: 0.9911 +2025-07-02 03:55:53,540 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:51:16, time: 0.369, data_time: 0.208, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4703, loss: 0.4703 +2025-07-02 03:56:09,590 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:50:59, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 03:56:25,460 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:50:42, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9888, loss_cls: 0.4699, loss: 0.4699 +2025-07-02 03:56:41,221 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:50:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4786, loss: 0.4786 +2025-07-02 03:56:56,868 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:50:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5287, loss: 0.5287 +2025-07-02 03:57:12,551 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:49:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.4784, loss: 0.4784 +2025-07-02 03:57:28,159 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:49:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5040, loss: 0.5040 +2025-07-02 03:57:43,796 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5394, loss: 0.5394 +2025-07-02 03:57:59,581 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:48:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4734, loss: 0.4734 +2025-07-02 03:58:15,474 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:48:41, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 0.4695, loss: 0.4695 +2025-07-02 03:58:31,174 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:48:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.4967, loss: 0.4967 +2025-07-02 03:58:44,062 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 03:59:06,719 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:59:06,729 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9926 +2025-07-02 03:59:06,730 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8942, top5_acc: 0.9926 +2025-07-02 03:59:43,545 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:48:18, time: 0.368, data_time: 0.206, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5130, loss: 0.5130 +2025-07-02 03:59:59,269 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:48:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.4850, loss: 0.4850 +2025-07-02 04:00:14,802 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:47:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9869, loss_cls: 0.4696, loss: 0.4696 +2025-07-02 04:00:30,487 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:47:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4498, loss: 0.4498 +2025-07-02 04:00:46,324 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:47:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 04:01:01,999 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:46:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.4310, loss: 0.4310 +2025-07-02 04:01:17,687 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:46:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4813, loss: 0.4813 +2025-07-02 04:01:33,402 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:46:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 0.4867, loss: 0.4867 +2025-07-02 04:01:49,231 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:45:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 04:02:05,122 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:45:43, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4328, loss: 0.4328 +2025-07-02 04:02:20,847 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:45:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.5016, loss: 0.5016 +2025-07-02 04:02:33,658 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 04:02:56,440 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:02:56,450 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9908 +2025-07-02 04:02:56,451 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.9031, top5_acc: 0.9908 +2025-07-02 04:03:33,154 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:45:18, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4591, loss: 0.4591 +2025-07-02 04:03:48,947 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:45:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4909, loss: 0.4909 +2025-07-02 04:04:04,619 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:44:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4383, loss: 0.4383 +2025-07-02 04:04:20,211 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:44:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3895, loss: 0.3895 +2025-07-02 04:04:35,776 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:44:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.4398, loss: 0.4398 +2025-07-02 04:04:51,374 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:43:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4653, loss: 0.4653 +2025-07-02 04:05:06,977 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:43:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9844, loss_cls: 0.5464, loss: 0.5464 +2025-07-02 04:05:22,660 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:43:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.4719, loss: 0.4719 +2025-07-02 04:05:38,206 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:42:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4524, loss: 0.4524 +2025-07-02 04:05:53,765 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:42:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 0.4816, loss: 0.4816 +2025-07-02 04:06:09,479 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:42:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9869, loss_cls: 0.4936, loss: 0.4936 +2025-07-02 04:06:22,380 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 04:06:45,026 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:06:45,036 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9933 +2025-07-02 04:06:45,040 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_33.pth was removed +2025-07-02 04:06:45,161 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2025-07-02 04:06:45,162 - pyskl - INFO - Best top1_acc is 0.9205 at 42 epoch. +2025-07-02 04:06:45,163 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9205, top5_acc: 0.9933 +2025-07-02 04:07:22,511 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:42:16, time: 0.373, data_time: 0.210, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3919, loss: 0.3919 +2025-07-02 04:07:38,336 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:41:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9869, loss_cls: 0.4319, loss: 0.4319 +2025-07-02 04:07:54,079 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:41:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 0.4644, loss: 0.4644 +2025-07-02 04:08:09,840 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:41:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4453, loss: 0.4453 +2025-07-02 04:08:25,523 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:41:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4695, loss: 0.4695 +2025-07-02 04:08:41,193 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:40:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4463, loss: 0.4463 +2025-07-02 04:08:56,783 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:40:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5005, loss: 0.5005 +2025-07-02 04:09:12,381 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:40:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4410, loss: 0.4410 +2025-07-02 04:09:28,259 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:39:58, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4712, loss: 0.4712 +2025-07-02 04:09:44,099 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:39:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 0.4732, loss: 0.4732 +2025-07-02 04:09:59,879 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:39:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4984, loss: 0.4984 +2025-07-02 04:10:12,680 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 04:10:35,321 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:10:35,331 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9948 +2025-07-02 04:10:35,332 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.9135, top5_acc: 0.9948 +2025-07-02 04:11:12,583 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:39:17, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4108, loss: 0.4108 +2025-07-02 04:11:28,222 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:38:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4579, loss: 0.4579 +2025-07-02 04:11:43,877 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:38:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9856, loss_cls: 0.4616, loss: 0.4616 +2025-07-02 04:11:59,568 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:38:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4084, loss: 0.4084 +2025-07-02 04:12:15,240 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:38:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4554, loss: 0.4554 +2025-07-02 04:12:30,931 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:37:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4933, loss: 0.4933 +2025-07-02 04:12:46,555 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:37:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4126, loss: 0.4126 +2025-07-02 04:13:02,224 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:37:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 0.5081, loss: 0.5081 +2025-07-02 04:13:17,903 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:36:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.4687, loss: 0.4687 +2025-07-02 04:13:33,511 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:36:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4423, loss: 0.4423 +2025-07-02 04:13:49,180 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:36:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 0.5390, loss: 0.5390 +2025-07-02 04:14:01,949 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 04:14:24,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:14:24,201 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9922 +2025-07-02 04:14:24,201 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9131, top5_acc: 0.9922 +2025-07-02 04:15:00,994 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:36:14, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4116, loss: 0.4116 +2025-07-02 04:15:16,754 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:35:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4080, loss: 0.4080 +2025-07-02 04:15:32,476 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:35:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 0.4694, loss: 0.4694 +2025-07-02 04:15:48,135 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:35:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3892, loss: 0.3892 +2025-07-02 04:16:03,784 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:35:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4240, loss: 0.4240 +2025-07-02 04:16:19,403 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:34:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4992, loss: 0.4992 +2025-07-02 04:16:35,067 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:34:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4594, loss: 0.4594 +2025-07-02 04:16:50,705 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:34:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4368, loss: 0.4368 +2025-07-02 04:17:06,363 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:33:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 04:17:22,061 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:33:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.4560, loss: 0.4560 +2025-07-02 04:17:37,811 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:33:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4284, loss: 0.4284 +2025-07-02 04:17:50,578 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 04:18:13,269 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:18:13,280 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9889 +2025-07-02 04:18:13,280 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8939, top5_acc: 0.9889 +2025-07-02 04:18:50,114 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:33:10, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4340, loss: 0.4340 +2025-07-02 04:19:05,738 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:32:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 04:19:21,486 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:32:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4193, loss: 0.4193 +2025-07-02 04:19:36,969 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:32:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4041, loss: 0.4041 +2025-07-02 04:19:52,403 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:32:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.4794, loss: 0.4794 +2025-07-02 04:20:07,853 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:31:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3808, loss: 0.3808 +2025-07-02 04:20:23,305 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:31:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4417, loss: 0.4417 +2025-07-02 04:20:38,765 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:31:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4407, loss: 0.4407 +2025-07-02 04:20:54,433 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:30:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4635, loss: 0.4635 +2025-07-02 04:21:10,065 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:30:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4708, loss: 0.4708 +2025-07-02 04:21:25,722 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:30:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5110, loss: 0.5110 +2025-07-02 04:21:38,539 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 04:22:01,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:22:01,412 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9937 +2025-07-02 04:22:01,417 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_42.pth was removed +2025-07-02 04:22:01,531 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-07-02 04:22:01,532 - pyskl - INFO - Best top1_acc is 0.9231 at 46 epoch. +2025-07-02 04:22:01,533 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9231, top5_acc: 0.9937 +2025-07-02 04:22:38,710 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:30:05, time: 0.372, data_time: 0.208, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4389, loss: 0.4389 +2025-07-02 04:22:54,407 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:29:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3998, loss: 0.3998 +2025-07-02 04:23:10,140 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:29:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4244, loss: 0.4244 +2025-07-02 04:23:25,907 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:29:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4749, loss: 0.4749 +2025-07-02 04:23:41,661 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:28:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4288, loss: 0.4288 +2025-07-02 04:23:57,431 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:28:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4125, loss: 0.4125 +2025-07-02 04:24:13,281 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:28:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4363, loss: 0.4363 +2025-07-02 04:24:28,888 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:28:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4264, loss: 0.4264 +2025-07-02 04:24:44,722 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:27:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4315, loss: 0.4315 +2025-07-02 04:25:00,469 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:27:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 04:25:16,316 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:27:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4151, loss: 0.4151 +2025-07-02 04:25:29,163 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 04:25:52,168 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:25:52,178 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9945 +2025-07-02 04:25:52,178 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.9216, top5_acc: 0.9945 +2025-07-02 04:26:29,798 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:27:04, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 0.4826, loss: 0.4826 +2025-07-02 04:26:45,526 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:26:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.4047, loss: 0.4047 +2025-07-02 04:27:01,359 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:26:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.3876, loss: 0.3876 +2025-07-02 04:27:17,166 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:26:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4584, loss: 0.4584 +2025-07-02 04:27:32,868 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:25:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4508, loss: 0.4508 +2025-07-02 04:27:48,490 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:25:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 04:28:04,082 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:25:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4429, loss: 0.4429 +2025-07-02 04:28:19,684 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:25:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4807, loss: 0.4807 +2025-07-02 04:28:35,356 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:24:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9900, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 04:28:51,054 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:24:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 0.4197, loss: 0.4197 +2025-07-02 04:29:06,743 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:24:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4557, loss: 0.4557 +2025-07-02 04:29:19,538 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 04:29:42,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:29:42,210 - pyskl - INFO - +top1_acc 0.8998 +top5_acc 0.9885 +2025-07-02 04:29:42,211 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.8998, top5_acc: 0.9885 +2025-07-02 04:30:19,248 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:24:01, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4270, loss: 0.4270 +2025-07-02 04:30:35,104 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:23:44, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3578, loss: 0.3578 +2025-07-02 04:30:50,827 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:23:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3916, loss: 0.3916 +2025-07-02 04:31:06,540 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:23:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4047, loss: 0.4047 +2025-07-02 04:31:22,239 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:22:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4200, loss: 0.4200 +2025-07-02 04:31:37,962 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:22:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4518, loss: 0.4518 +2025-07-02 04:31:53,574 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:22:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 04:32:09,189 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:22:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4583, loss: 0.4583 +2025-07-02 04:32:24,930 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:21:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4816, loss: 0.4816 +2025-07-02 04:32:40,533 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:21:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3755, loss: 0.3755 +2025-07-02 04:32:56,162 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:21:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3809, loss: 0.3809 +2025-07-02 04:33:08,972 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 04:33:32,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:33:32,079 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9948 +2025-07-02 04:33:32,080 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9057, top5_acc: 0.9948 +2025-07-02 04:34:09,214 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:20:57, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4886, loss: 0.4886 +2025-07-02 04:34:24,943 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:20:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4204, loss: 0.4204 +2025-07-02 04:34:40,783 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:20:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.3992, loss: 0.3992 +2025-07-02 04:34:56,457 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:20:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 04:35:12,147 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:19:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 04:35:27,796 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:19:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.3999, loss: 0.3999 +2025-07-02 04:35:43,344 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:19:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 04:35:58,920 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:18:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.4128, loss: 0.4128 +2025-07-02 04:36:14,583 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:18:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4472, loss: 0.4472 +2025-07-02 04:36:30,237 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:18:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9888, loss_cls: 0.4203, loss: 0.4203 +2025-07-02 04:36:45,867 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:18:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3896, loss: 0.3896 +2025-07-02 04:36:58,617 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 04:37:21,588 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:37:21,599 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9930 +2025-07-02 04:37:21,599 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.9146, top5_acc: 0.9930 +2025-07-02 04:37:58,570 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:17:51, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3892, loss: 0.3892 +2025-07-02 04:38:14,237 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:17:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4123, loss: 0.4123 +2025-07-02 04:38:29,988 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:17:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4385, loss: 0.4385 +2025-07-02 04:38:45,775 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:17:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3750, loss: 0.3750 +2025-07-02 04:39:01,498 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:16:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 04:39:17,208 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:16:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3949, loss: 0.3949 +2025-07-02 04:39:32,885 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:16:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 04:39:48,588 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:15:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 0.4490, loss: 0.4490 +2025-07-02 04:40:04,352 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:15:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.4347, loss: 0.4347 +2025-07-02 04:40:20,069 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:15:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9944, loss_cls: 0.4293, loss: 0.4293 +2025-07-02 04:40:35,739 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:15:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4024, loss: 0.4024 +2025-07-02 04:40:48,591 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 04:41:11,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:41:11,272 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9922 +2025-07-02 04:41:11,273 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9083, top5_acc: 0.9922 +2025-07-02 04:41:49,028 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:14:48, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4089, loss: 0.4089 +2025-07-02 04:42:04,693 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:14:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 0.3451, loss: 0.3451 +2025-07-02 04:42:20,452 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:14:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4188, loss: 0.4188 +2025-07-02 04:42:36,079 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:13:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3789, loss: 0.3789 +2025-07-02 04:42:51,734 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:13:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4356, loss: 0.4356 +2025-07-02 04:43:07,339 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:13:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 0.3626, loss: 0.3626 +2025-07-02 04:43:22,945 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:13:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 0.4088, loss: 0.4088 +2025-07-02 04:43:38,541 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:12:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4439, loss: 0.4439 +2025-07-02 04:43:54,189 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:12:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4254, loss: 0.4254 +2025-07-02 04:44:09,852 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:12:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4510, loss: 0.4510 +2025-07-02 04:44:25,476 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:11:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9888, loss_cls: 0.4073, loss: 0.4073 +2025-07-02 04:44:38,314 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 04:45:00,964 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:45:00,975 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9937 +2025-07-02 04:45:00,975 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9175, top5_acc: 0.9937 +2025-07-02 04:45:38,449 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:11:43, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3614, loss: 0.3614 +2025-07-02 04:45:54,160 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:11:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3369, loss: 0.3369 +2025-07-02 04:46:09,902 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:11:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3658, loss: 0.3658 +2025-07-02 04:46:25,684 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:10:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3748, loss: 0.3748 +2025-07-02 04:46:41,403 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:10:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3777, loss: 0.3777 +2025-07-02 04:46:57,094 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:10:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 0.3616, loss: 0.3616 +2025-07-02 04:47:12,799 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:10:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4172, loss: 0.4172 +2025-07-02 04:47:28,423 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:09:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 0.4964, loss: 0.4964 +2025-07-02 04:47:44,062 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:09:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4204, loss: 0.4204 +2025-07-02 04:47:59,704 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:09:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4143, loss: 0.4143 +2025-07-02 04:48:15,612 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:08:52, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4040, loss: 0.4040 +2025-07-02 04:48:28,587 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 04:48:50,893 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:48:50,903 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9922 +2025-07-02 04:48:50,904 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.8961, top5_acc: 0.9922 +2025-07-02 04:49:28,057 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:08:38, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3638, loss: 0.3638 +2025-07-02 04:49:43,765 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:08:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4304, loss: 0.4304 +2025-07-02 04:49:59,446 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:08:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3768, loss: 0.3768 +2025-07-02 04:50:15,135 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:07:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4225, loss: 0.4225 +2025-07-02 04:50:30,887 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:07:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4387, loss: 0.4387 +2025-07-02 04:50:46,594 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:07:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4520, loss: 0.4520 +2025-07-02 04:51:02,408 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:06:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3618, loss: 0.3618 +2025-07-02 04:51:18,116 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:06:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.4173, loss: 0.4173 +2025-07-02 04:51:33,729 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:06:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 0.3830, loss: 0.3830 +2025-07-02 04:51:49,331 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:06:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 04:52:05,088 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:05:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4071, loss: 0.4071 +2025-07-02 04:52:17,847 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 04:52:40,483 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:52:40,493 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9889 +2025-07-02 04:52:40,494 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.9205, top5_acc: 0.9889 +2025-07-02 04:53:18,301 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:05:34, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3709, loss: 0.3709 +2025-07-02 04:53:34,188 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:05:17, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3720, loss: 0.3720 +2025-07-02 04:53:50,178 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:05:00, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3641, loss: 0.3641 +2025-07-02 04:54:05,932 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:04:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 0.4071, loss: 0.4071 +2025-07-02 04:54:21,556 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:04:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3697, loss: 0.3697 +2025-07-02 04:54:37,173 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:04:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4203, loss: 0.4203 +2025-07-02 04:54:52,770 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:03:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4249, loss: 0.4249 +2025-07-02 04:55:08,334 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:03:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.4772, loss: 0.4772 +2025-07-02 04:55:23,944 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:03:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3570, loss: 0.3570 +2025-07-02 04:55:39,615 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:02:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 0.4403, loss: 0.4403 +2025-07-02 04:55:55,442 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:02:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4535, loss: 0.4535 +2025-07-02 04:56:08,192 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 04:56:31,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:56:31,458 - pyskl - INFO - +top1_acc 0.9105 +top5_acc 0.9959 +2025-07-02 04:56:31,458 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.9105, top5_acc: 0.9959 +2025-07-02 04:57:08,952 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:02:28, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 04:57:24,795 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:02:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.3904, loss: 0.3904 +2025-07-02 04:57:40,453 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:01:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4354, loss: 0.4354 +2025-07-02 04:57:56,182 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 5:01:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4130, loss: 0.4130 +2025-07-02 04:58:11,806 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 5:01:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3826, loss: 0.3826 +2025-07-02 04:58:27,427 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 5:01:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3673, loss: 0.3673 +2025-07-02 04:58:43,169 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 5:00:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.4285, loss: 0.4285 +2025-07-02 04:58:58,889 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 5:00:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9881, loss_cls: 0.4356, loss: 0.4356 +2025-07-02 04:59:14,525 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 5:00:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 0.3538, loss: 0.3538 +2025-07-02 04:59:30,112 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3795, loss: 0.3795 +2025-07-02 04:59:45,862 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:59:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4106, loss: 0.4106 +2025-07-02 04:59:58,761 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 05:00:22,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:00:22,164 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9948 +2025-07-02 05:00:22,168 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_46.pth was removed +2025-07-02 05:00:22,289 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-02 05:00:22,290 - pyskl - INFO - Best top1_acc is 0.9253 at 56 epoch. +2025-07-02 05:00:22,291 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9253, top5_acc: 0.9948 +2025-07-02 05:01:00,069 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:59:23, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 05:01:15,894 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:59:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9925, loss_cls: 0.3420, loss: 0.3420 +2025-07-02 05:01:31,606 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:58:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4102, loss: 0.4102 +2025-07-02 05:01:47,379 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:58:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3280, loss: 0.3280 +2025-07-02 05:02:03,248 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:58:15, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9894, loss_cls: 0.4046, loss: 0.4046 +2025-07-02 05:02:19,088 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:57:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.3780, loss: 0.3780 +2025-07-02 05:02:34,915 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:57:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4085, loss: 0.4085 +2025-07-02 05:02:50,676 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:57:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4386, loss: 0.4386 +2025-07-02 05:03:06,402 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:57:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9912, loss_cls: 0.3999, loss: 0.3999 +2025-07-02 05:03:22,125 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:56:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4611, loss: 0.4611 +2025-07-02 05:03:37,852 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:56:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9881, loss_cls: 0.4284, loss: 0.4284 +2025-07-02 05:03:50,748 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 05:04:14,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:04:14,143 - pyskl - INFO - +top1_acc 0.8920 +top5_acc 0.9911 +2025-07-02 05:04:14,143 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.8920, top5_acc: 0.9911 +2025-07-02 05:04:51,836 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:56:19, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3772, loss: 0.3772 +2025-07-02 05:05:07,672 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:56:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3796, loss: 0.3796 +2025-07-02 05:05:23,324 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:55:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3120, loss: 0.3120 +2025-07-02 05:05:39,004 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:55:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 05:05:54,629 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:55:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3292, loss: 0.3292 +2025-07-02 05:06:10,245 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:54:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 05:06:25,844 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:54:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3633, loss: 0.3633 +2025-07-02 05:06:41,529 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:54:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4336, loss: 0.4336 +2025-07-02 05:06:57,227 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:54:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.4156, loss: 0.4156 +2025-07-02 05:07:13,255 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:53:45, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3433, loss: 0.3433 +2025-07-02 05:07:29,083 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:53:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4167, loss: 0.4167 +2025-07-02 05:07:42,077 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 05:08:05,743 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:08:05,753 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9970 +2025-07-02 05:08:05,753 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9216, top5_acc: 0.9970 +2025-07-02 05:08:43,876 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:53:14, time: 0.381, data_time: 0.221, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3390, loss: 0.3390 +2025-07-02 05:08:59,789 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:52:57, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3098, loss: 0.3098 +2025-07-02 05:09:15,580 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:52:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3918, loss: 0.3918 +2025-07-02 05:09:31,332 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:52:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3514, loss: 0.3514 +2025-07-02 05:09:46,943 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:52:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3634, loss: 0.3634 +2025-07-02 05:10:02,574 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:51:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.3964, loss: 0.3964 +2025-07-02 05:10:18,587 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:51:32, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.3985, loss: 0.3985 +2025-07-02 05:10:34,314 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:51:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4200, loss: 0.4200 +2025-07-02 05:10:49,987 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:50:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3857, loss: 0.3857 +2025-07-02 05:11:05,657 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:50:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9888, loss_cls: 0.4188, loss: 0.4188 +2025-07-02 05:11:21,141 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:50:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 05:11:33,871 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 05:11:57,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:11:57,393 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9893 +2025-07-02 05:11:57,394 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9205, top5_acc: 0.9893 +2025-07-02 05:12:35,429 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:50:08, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 05:12:51,154 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:49:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9900, loss_cls: 0.3690, loss: 0.3690 +2025-07-02 05:13:06,764 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:49:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.3742, loss: 0.3742 +2025-07-02 05:13:22,472 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:49:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3634, loss: 0.3634 +2025-07-02 05:13:38,054 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:48:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 05:13:53,684 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:48:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3224, loss: 0.3224 +2025-07-02 05:14:09,337 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:48:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 05:14:25,109 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:48:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9894, loss_cls: 0.3893, loss: 0.3893 +2025-07-02 05:14:40,822 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:47:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 0.4006, loss: 0.4006 +2025-07-02 05:14:56,505 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:47:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 0.4137, loss: 0.4137 +2025-07-02 05:15:12,169 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:47:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3367, loss: 0.3367 +2025-07-02 05:15:24,961 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 05:15:48,387 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:15:48,397 - pyskl - INFO - +top1_acc 0.9227 +top5_acc 0.9922 +2025-07-02 05:15:48,398 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9227, top5_acc: 0.9922 +2025-07-02 05:16:26,154 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:47:01, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3541, loss: 0.3541 +2025-07-02 05:16:41,953 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:46:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3473, loss: 0.3473 +2025-07-02 05:16:57,709 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:46:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 0.3500, loss: 0.3500 +2025-07-02 05:17:13,386 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:46:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 05:17:29,000 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:45:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3541, loss: 0.3541 +2025-07-02 05:17:44,650 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:45:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3846, loss: 0.3846 +2025-07-02 05:18:00,311 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:45:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3523, loss: 0.3523 +2025-07-02 05:18:15,971 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:45:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9900, loss_cls: 0.4141, loss: 0.4141 +2025-07-02 05:18:31,613 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:44:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 0.4143, loss: 0.4143 +2025-07-02 05:18:47,424 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:44:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3945, loss: 0.3945 +2025-07-02 05:19:03,186 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:44:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.4071, loss: 0.4071 +2025-07-02 05:19:16,034 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 05:19:39,438 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:19:39,448 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9963 +2025-07-02 05:19:39,448 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9109, top5_acc: 0.9963 +2025-07-02 05:20:17,470 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:43:55, time: 0.380, data_time: 0.218, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9912, loss_cls: 0.3201, loss: 0.3201 +2025-07-02 05:20:33,350 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:43:38, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.4122, loss: 0.4122 +2025-07-02 05:20:49,193 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:43:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3720, loss: 0.3720 +2025-07-02 05:21:04,804 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:43:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3377, loss: 0.3377 +2025-07-02 05:21:20,454 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:42:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3414, loss: 0.3414 +2025-07-02 05:21:36,085 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:42:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3371, loss: 0.3371 +2025-07-02 05:21:52,228 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:42:13, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2947, loss: 0.2947 +2025-07-02 05:22:08,050 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:41:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.4050, loss: 0.4050 +2025-07-02 05:22:23,976 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:41:39, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3286, loss: 0.3286 +2025-07-02 05:22:39,670 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:41:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3796, loss: 0.3796 +2025-07-02 05:22:55,361 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:41:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3259, loss: 0.3259 +2025-07-02 05:23:08,242 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 05:23:31,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:23:31,465 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9963 +2025-07-02 05:23:31,469 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_56.pth was removed +2025-07-02 05:23:31,591 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_62.pth. +2025-07-02 05:23:31,592 - pyskl - INFO - Best top1_acc is 0.9257 at 62 epoch. +2025-07-02 05:23:31,593 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9257, top5_acc: 0.9963 +2025-07-02 05:24:09,993 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:40:50, time: 0.384, data_time: 0.223, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 05:24:26,027 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:40:33, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3289, loss: 0.3289 +2025-07-02 05:24:41,909 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:40:16, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3535, loss: 0.3535 +2025-07-02 05:24:57,571 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:39:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3274, loss: 0.3274 +2025-07-02 05:25:13,198 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:39:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3746, loss: 0.3746 +2025-07-02 05:25:29,034 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:39:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 05:25:44,972 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:39:08, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3780, loss: 0.3780 +2025-07-02 05:26:00,924 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:38:52, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4338, loss: 0.4338 +2025-07-02 05:26:16,698 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:38:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3282, loss: 0.3282 +2025-07-02 05:26:32,314 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:38:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 0.3321, loss: 0.3321 +2025-07-02 05:26:48,164 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:38:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 05:27:00,967 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 05:27:24,248 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:27:24,258 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9948 +2025-07-02 05:27:24,259 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.8902, top5_acc: 0.9948 +2025-07-02 05:28:02,135 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:37:44, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3316, loss: 0.3316 +2025-07-02 05:28:17,827 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:37:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3446, loss: 0.3446 +2025-07-02 05:28:33,625 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:37:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.3263, loss: 0.3263 +2025-07-02 05:28:49,307 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:36:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.2988, loss: 0.2988 +2025-07-02 05:29:05,001 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:36:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3592, loss: 0.3592 +2025-07-02 05:29:20,831 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:36:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3234, loss: 0.3234 +2025-07-02 05:29:36,538 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:36:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4181, loss: 0.4181 +2025-07-02 05:29:52,359 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:35:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3714, loss: 0.3714 +2025-07-02 05:30:08,140 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:35:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.3921, loss: 0.3921 +2025-07-02 05:30:23,978 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:35:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3851, loss: 0.3851 +2025-07-02 05:30:39,750 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:34:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 0.3115, loss: 0.3115 +2025-07-02 05:30:52,588 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 05:31:15,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:31:15,721 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9900 +2025-07-02 05:31:15,721 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.8891, top5_acc: 0.9900 +2025-07-02 05:31:53,454 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:34:37, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3211, loss: 0.3211 +2025-07-02 05:32:09,141 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:34:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3555, loss: 0.3555 +2025-07-02 05:32:24,785 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:34:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3788, loss: 0.3788 +2025-07-02 05:32:40,455 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:33:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3714, loss: 0.3714 +2025-07-02 05:32:56,272 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:33:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3251, loss: 0.3251 +2025-07-02 05:33:12,171 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:33:12, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9925, loss_cls: 0.3296, loss: 0.3296 +2025-07-02 05:33:27,925 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:32:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3295, loss: 0.3295 +2025-07-02 05:33:43,739 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:32:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3443, loss: 0.3443 +2025-07-02 05:33:59,682 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:32:22, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3827, loss: 0.3827 +2025-07-02 05:34:15,435 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:32:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3495, loss: 0.3495 +2025-07-02 05:34:31,278 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:31:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3469, loss: 0.3469 +2025-07-02 05:34:44,218 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 05:35:06,813 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:35:06,823 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9959 +2025-07-02 05:35:06,827 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_62.pth was removed +2025-07-02 05:35:06,948 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2025-07-02 05:35:06,949 - pyskl - INFO - Best top1_acc is 0.9286 at 65 epoch. +2025-07-02 05:35:06,950 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9286, top5_acc: 0.9959 +2025-07-02 05:35:44,515 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:31:30, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3465, loss: 0.3465 +2025-07-02 05:36:00,255 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:31:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3085, loss: 0.3085 +2025-07-02 05:36:15,871 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:30:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9912, loss_cls: 0.3095, loss: 0.3095 +2025-07-02 05:36:31,421 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:30:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.3016, loss: 0.3016 +2025-07-02 05:36:47,090 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:30:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3755, loss: 0.3755 +2025-07-02 05:37:02,928 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:30:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3296, loss: 0.3296 +2025-07-02 05:37:18,808 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:29:48, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3451, loss: 0.3451 +2025-07-02 05:37:34,642 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:29:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3167, loss: 0.3167 +2025-07-02 05:37:50,218 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:29:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3290, loss: 0.3290 +2025-07-02 05:38:05,747 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:28:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3503, loss: 0.3503 +2025-07-02 05:38:21,380 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:28:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 0.3779, loss: 0.3779 +2025-07-02 05:38:34,363 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 05:38:56,945 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:38:56,956 - pyskl - INFO - +top1_acc 0.9027 +top5_acc 0.9952 +2025-07-02 05:38:56,956 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9027, top5_acc: 0.9952 +2025-07-02 05:39:34,410 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:28:21, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.3545, loss: 0.3545 +2025-07-02 05:39:50,067 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:28:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9906, loss_cls: 0.3303, loss: 0.3303 +2025-07-02 05:40:05,606 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:27:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.2860, loss: 0.2860 +2025-07-02 05:40:21,170 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:27:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 05:40:36,716 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:27:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3066, loss: 0.3066 +2025-07-02 05:40:52,274 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:26:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 05:41:07,826 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:26:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3230, loss: 0.3230 +2025-07-02 05:41:23,673 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:26:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4209, loss: 0.4209 +2025-07-02 05:41:39,295 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:26:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3485, loss: 0.3485 +2025-07-02 05:41:55,000 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:25:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.3795, loss: 0.3795 +2025-07-02 05:42:10,654 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:25:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4176, loss: 0.4176 +2025-07-02 05:42:23,410 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 05:42:46,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:42:46,084 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9963 +2025-07-02 05:42:46,088 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_65.pth was removed +2025-07-02 05:42:46,203 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. +2025-07-02 05:42:46,204 - pyskl - INFO - Best top1_acc is 0.9412 at 67 epoch. +2025-07-02 05:42:46,204 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9412, top5_acc: 0.9963 +2025-07-02 05:43:23,990 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:25:12, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3592, loss: 0.3592 +2025-07-02 05:43:39,614 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:24:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.3260, loss: 0.3260 +2025-07-02 05:43:55,322 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:24:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.2996, loss: 0.2996 +2025-07-02 05:44:10,990 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:24:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2919, loss: 0.2919 +2025-07-02 05:44:26,687 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:24:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.2832, loss: 0.2832 +2025-07-02 05:44:42,427 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:23:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3362, loss: 0.3362 +2025-07-02 05:44:58,075 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:23:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3233, loss: 0.3233 +2025-07-02 05:45:13,750 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:23:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9900, loss_cls: 0.4054, loss: 0.4054 +2025-07-02 05:45:29,476 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:22:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.3049, loss: 0.3049 +2025-07-02 05:45:45,435 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:22:39, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2799, loss: 0.2799 +2025-07-02 05:46:01,125 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:22:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3144, loss: 0.3144 +2025-07-02 05:46:13,948 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 05:46:36,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:46:36,974 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9937 +2025-07-02 05:46:36,974 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9360, top5_acc: 0.9937 +2025-07-02 05:47:14,536 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:22:04, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2968, loss: 0.2968 +2025-07-02 05:47:30,221 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:21:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3165, loss: 0.3165 +2025-07-02 05:47:45,831 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:21:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 0.3401, loss: 0.3401 +2025-07-02 05:48:01,454 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:21:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3426, loss: 0.3426 +2025-07-02 05:48:17,110 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:20:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9894, loss_cls: 0.3750, loss: 0.3750 +2025-07-02 05:48:32,803 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:20:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.3768, loss: 0.3768 +2025-07-02 05:48:48,471 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:20:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3278, loss: 0.3278 +2025-07-02 05:49:04,283 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:20:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3836, loss: 0.3836 +2025-07-02 05:49:19,976 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:19:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2905, loss: 0.2905 +2025-07-02 05:49:35,643 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:19:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3638, loss: 0.3638 +2025-07-02 05:49:51,246 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:19:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3626, loss: 0.3626 +2025-07-02 05:50:03,958 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 05:50:26,768 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:50:26,779 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9948 +2025-07-02 05:50:26,779 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9175, top5_acc: 0.9948 +2025-07-02 05:51:04,273 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:18:54, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.2940, loss: 0.2940 +2025-07-02 05:51:19,964 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:18:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 0.2768, loss: 0.2768 +2025-07-02 05:51:35,704 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:18:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3034, loss: 0.3034 +2025-07-02 05:51:51,497 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:18:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3497, loss: 0.3497 +2025-07-02 05:52:07,283 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:17:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3175, loss: 0.3175 +2025-07-02 05:52:22,949 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:17:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3416, loss: 0.3416 +2025-07-02 05:52:38,686 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:17:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3392, loss: 0.3392 +2025-07-02 05:52:54,456 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:16:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3532, loss: 0.3532 +2025-07-02 05:53:10,167 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:16:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3262, loss: 0.3262 +2025-07-02 05:53:25,913 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:16:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3335, loss: 0.3335 +2025-07-02 05:53:41,571 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:16:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3509, loss: 0.3509 +2025-07-02 05:53:54,422 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 05:54:16,907 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:54:16,917 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9956 +2025-07-02 05:54:16,918 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9268, top5_acc: 0.9956 +2025-07-02 05:54:54,471 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:15:45, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 0.3048, loss: 0.3048 +2025-07-02 05:55:10,233 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:15:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3711, loss: 0.3711 +2025-07-02 05:55:26,029 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:15:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3054, loss: 0.3054 +2025-07-02 05:55:41,851 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:14:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3578, loss: 0.3578 +2025-07-02 05:55:57,672 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:14:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3393, loss: 0.3393 +2025-07-02 05:56:13,449 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:14:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 0.2945, loss: 0.2945 +2025-07-02 05:56:29,157 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:14:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9944, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 05:56:45,035 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:13:47, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3524, loss: 0.3524 +2025-07-02 05:57:00,664 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:13:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2977, loss: 0.2977 +2025-07-02 05:57:16,347 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:13:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3526, loss: 0.3526 +2025-07-02 05:57:31,969 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:12:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3395, loss: 0.3395 +2025-07-02 05:57:44,748 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 05:58:07,112 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:58:07,122 - pyskl - INFO - +top1_acc 0.9305 +top5_acc 0.9933 +2025-07-02 05:58:07,122 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9305, top5_acc: 0.9933 +2025-07-02 05:58:44,469 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:12:37, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2608, loss: 0.2608 +2025-07-02 05:59:00,231 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:12:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2802, loss: 0.2802 +2025-07-02 05:59:15,963 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:12:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9931, loss_cls: 0.3122, loss: 0.3122 +2025-07-02 05:59:31,761 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:11:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.3804, loss: 0.3804 +2025-07-02 05:59:47,440 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:11:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.2933, loss: 0.2933 +2025-07-02 06:00:03,139 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:11:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2723, loss: 0.2723 +2025-07-02 06:00:18,802 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:10:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3301, loss: 0.3301 +2025-07-02 06:00:34,588 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:10:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3001, loss: 0.3001 +2025-07-02 06:00:50,147 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:10:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3067, loss: 0.3067 +2025-07-02 06:01:05,704 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:10:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3195, loss: 0.3195 +2025-07-02 06:01:21,205 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:09:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3205, loss: 0.3205 +2025-07-02 06:01:33,909 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 06:01:56,224 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:01:56,234 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9945 +2025-07-02 06:01:56,235 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9312, top5_acc: 0.9945 +2025-07-02 06:02:33,202 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:09:26, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2629, loss: 0.2629 +2025-07-02 06:02:48,855 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:09:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2595, loss: 0.2595 +2025-07-02 06:03:04,555 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:08:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 06:03:20,175 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:08:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.2917, loss: 0.2917 +2025-07-02 06:03:35,783 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:08:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.2995, loss: 0.2995 +2025-07-02 06:03:51,420 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:08:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3110, loss: 0.3110 +2025-07-02 06:04:07,083 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:07:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3552, loss: 0.3552 +2025-07-02 06:04:22,762 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:07:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3148, loss: 0.3148 +2025-07-02 06:04:38,486 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:07:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3246, loss: 0.3246 +2025-07-02 06:04:54,196 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:06:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 06:05:09,734 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:06:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.3514, loss: 0.3514 +2025-07-02 06:05:22,358 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 06:05:44,717 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:05:44,728 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9926 +2025-07-02 06:05:44,728 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9031, top5_acc: 0.9926 +2025-07-02 06:06:21,925 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:06:16, time: 0.372, data_time: 0.210, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3354, loss: 0.3354 +2025-07-02 06:06:37,584 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:05:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2824, loss: 0.2824 +2025-07-02 06:06:53,167 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:05:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2796, loss: 0.2796 +2025-07-02 06:07:08,952 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:05:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3181, loss: 0.3181 +2025-07-02 06:07:24,586 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:05:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2848, loss: 0.2848 +2025-07-02 06:07:40,234 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:04:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2174, loss: 0.2174 +2025-07-02 06:07:55,839 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:04:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3065, loss: 0.3065 +2025-07-02 06:08:11,551 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:04:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3031, loss: 0.3031 +2025-07-02 06:08:27,256 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:04:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 06:08:42,869 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:03:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3601, loss: 0.3601 +2025-07-02 06:08:58,502 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:03:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3270, loss: 0.3270 +2025-07-02 06:09:11,218 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 06:09:34,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:09:34,114 - pyskl - INFO - +top1_acc 0.9227 +top5_acc 0.9956 +2025-07-02 06:09:34,115 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9227, top5_acc: 0.9956 +2025-07-02 06:10:11,104 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:03:05, time: 0.370, data_time: 0.208, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2456, loss: 0.2456 +2025-07-02 06:10:26,942 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:02:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2485, loss: 0.2485 +2025-07-02 06:10:42,680 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:02:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.2839, loss: 0.2839 +2025-07-02 06:10:58,443 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:02:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9931, loss_cls: 0.2967, loss: 0.2967 +2025-07-02 06:11:14,217 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:01:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.2640, loss: 0.2640 +2025-07-02 06:11:29,842 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:01:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.3126, loss: 0.3126 +2025-07-02 06:11:45,485 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 4:01:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3406, loss: 0.3406 +2025-07-02 06:12:01,184 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 4:01:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3446, loss: 0.3446 +2025-07-02 06:12:16,812 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 4:00:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2860, loss: 0.2860 +2025-07-02 06:12:32,421 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 4:00:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2418, loss: 0.2418 +2025-07-02 06:12:48,009 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 4:00:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2628, loss: 0.2628 +2025-07-02 06:13:00,802 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 06:13:23,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:13:23,558 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9967 +2025-07-02 06:13:23,559 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9249, top5_acc: 0.9967 +2025-07-02 06:14:00,419 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:59:55, time: 0.369, data_time: 0.208, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2770, loss: 0.2770 +2025-07-02 06:14:16,254 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:59:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2876, loss: 0.2876 +2025-07-02 06:14:32,062 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:59:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3179, loss: 0.3179 +2025-07-02 06:14:47,823 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:59:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.2708, loss: 0.2708 +2025-07-02 06:15:03,489 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:58:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 06:15:19,245 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:58:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9994, loss_cls: 0.2681, loss: 0.2681 +2025-07-02 06:15:35,055 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:58:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2790, loss: 0.2790 +2025-07-02 06:15:50,654 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:57:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9912, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 06:16:06,312 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:57:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 0.3051, loss: 0.3051 +2025-07-02 06:16:21,876 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:57:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3184, loss: 0.3184 +2025-07-02 06:16:37,519 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:57:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3001, loss: 0.3001 +2025-07-02 06:16:50,503 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 06:17:13,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:17:13,054 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9941 +2025-07-02 06:17:13,055 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9279, top5_acc: 0.9941 +2025-07-02 06:17:50,111 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:56:45, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2448, loss: 0.2448 +2025-07-02 06:18:05,811 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:56:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2106, loss: 0.2106 +2025-07-02 06:18:21,554 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:56:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2636, loss: 0.2636 +2025-07-02 06:18:37,329 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:55:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.3009, loss: 0.3009 +2025-07-02 06:18:52,824 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:55:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 06:19:08,382 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:55:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2549, loss: 0.2549 +2025-07-02 06:19:24,131 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:55:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.2998, loss: 0.2998 +2025-07-02 06:19:39,915 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:54:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9931, loss_cls: 0.2657, loss: 0.2657 +2025-07-02 06:19:55,647 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:54:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3016, loss: 0.3016 +2025-07-02 06:20:11,318 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:54:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3533, loss: 0.3533 +2025-07-02 06:20:26,960 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:53:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3169, loss: 0.3169 +2025-07-02 06:20:39,822 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 06:21:02,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:21:02,341 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9956 +2025-07-02 06:21:02,341 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9338, top5_acc: 0.9956 +2025-07-02 06:21:39,433 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:53:34, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2646, loss: 0.2646 +2025-07-02 06:21:55,160 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:53:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2739, loss: 0.2739 +2025-07-02 06:22:10,848 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:53:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.2900, loss: 0.2900 +2025-07-02 06:22:26,535 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:52:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9944, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 06:22:42,165 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:52:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2628, loss: 0.2628 +2025-07-02 06:22:57,867 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:52:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2373, loss: 0.2373 +2025-07-02 06:23:13,802 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:51:53, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2404, loss: 0.2404 +2025-07-02 06:23:29,844 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:51:36, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.2783, loss: 0.2783 +2025-07-02 06:23:45,725 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:51:20, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3395, loss: 0.3395 +2025-07-02 06:24:01,437 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:51:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2868, loss: 0.2868 +2025-07-02 06:24:17,138 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:50:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2731, loss: 0.2731 +2025-07-02 06:24:29,982 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 06:24:52,655 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:24:52,665 - pyskl - INFO - +top1_acc 0.9183 +top5_acc 0.9926 +2025-07-02 06:24:52,666 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9183, top5_acc: 0.9926 +2025-07-02 06:25:30,205 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:50:25, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.2927, loss: 0.2927 +2025-07-02 06:25:45,915 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:50:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3045, loss: 0.3045 +2025-07-02 06:26:01,648 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:49:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2964, loss: 0.2964 +2025-07-02 06:26:17,374 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:49:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3089, loss: 0.3089 +2025-07-02 06:26:32,991 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:49:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 06:26:48,667 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:49:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.2738, loss: 0.2738 +2025-07-02 06:27:04,366 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:48:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.2853, loss: 0.2853 +2025-07-02 06:27:20,049 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:48:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2625, loss: 0.2625 +2025-07-02 06:27:35,735 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:48:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 0.2925, loss: 0.2925 +2025-07-02 06:27:51,399 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:47:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 06:28:07,163 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:47:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2733, loss: 0.2733 +2025-07-02 06:28:19,962 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 06:28:42,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:28:42,477 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9889 +2025-07-02 06:28:42,478 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9120, top5_acc: 0.9889 +2025-07-02 06:29:19,729 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:47:14, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2261, loss: 0.2261 +2025-07-02 06:29:35,451 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:46:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2405, loss: 0.2405 +2025-07-02 06:29:51,225 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:46:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2254, loss: 0.2254 +2025-07-02 06:30:07,040 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:46:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 06:30:22,685 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:46:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.3042, loss: 0.3042 +2025-07-02 06:30:38,437 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:45:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 0.3063, loss: 0.3063 +2025-07-02 06:30:54,176 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:45:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3270, loss: 0.3270 +2025-07-02 06:31:09,871 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:45:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3124, loss: 0.3124 +2025-07-02 06:31:25,537 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:44:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2694, loss: 0.2694 +2025-07-02 06:31:41,095 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:44:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2710, loss: 0.2710 +2025-07-02 06:31:56,719 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:44:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 0.3002, loss: 0.3002 +2025-07-02 06:32:09,477 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 06:32:32,176 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:32:32,186 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9967 +2025-07-02 06:32:32,186 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9112, top5_acc: 0.9967 +2025-07-02 06:33:09,092 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:44:03, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2837, loss: 0.2837 +2025-07-02 06:33:24,818 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:43:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2629, loss: 0.2629 +2025-07-02 06:33:40,725 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:43:30, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2328, loss: 0.2328 +2025-07-02 06:33:56,434 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:43:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2543, loss: 0.2543 +2025-07-02 06:34:12,119 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:42:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2420, loss: 0.2420 +2025-07-02 06:34:27,813 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:42:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2675, loss: 0.2675 +2025-07-02 06:34:43,491 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:42:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2642, loss: 0.2642 +2025-07-02 06:34:59,191 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:42:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2445, loss: 0.2445 +2025-07-02 06:35:14,876 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:41:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2598, loss: 0.2598 +2025-07-02 06:35:30,583 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:41:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 06:35:46,430 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:41:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2198, loss: 0.2198 +2025-07-02 06:35:59,187 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 06:36:21,502 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:36:21,513 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9963 +2025-07-02 06:36:21,513 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9364, top5_acc: 0.9963 +2025-07-02 06:36:58,803 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:40:53, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2542, loss: 0.2542 +2025-07-02 06:37:14,662 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:40:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2167, loss: 0.2167 +2025-07-02 06:37:30,634 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:40:20, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2577, loss: 0.2577 +2025-07-02 06:37:46,406 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:40:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2351, loss: 0.2351 +2025-07-02 06:38:02,176 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:39:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2539, loss: 0.2539 +2025-07-02 06:38:17,905 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:39:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 0.2770, loss: 0.2770 +2025-07-02 06:38:33,592 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:39:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2683, loss: 0.2683 +2025-07-02 06:38:49,291 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:38:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2687, loss: 0.2687 +2025-07-02 06:39:05,016 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:38:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2734, loss: 0.2734 +2025-07-02 06:39:20,698 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:38:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2564, loss: 0.2564 +2025-07-02 06:39:36,392 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:38:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9956, loss_cls: 0.2089, loss: 0.2089 +2025-07-02 06:39:49,413 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 06:40:11,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:40:11,925 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9967 +2025-07-02 06:40:11,928 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_67.pth was removed +2025-07-02 06:40:12,044 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_82.pth. +2025-07-02 06:40:12,045 - pyskl - INFO - Best top1_acc is 0.9434 at 82 epoch. +2025-07-02 06:40:12,045 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9434, top5_acc: 0.9967 +2025-07-02 06:40:49,230 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:37:43, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2149, loss: 0.2149 +2025-07-02 06:41:04,896 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:37:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2427, loss: 0.2427 +2025-07-02 06:41:20,615 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:37:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2317, loss: 0.2317 +2025-07-02 06:41:36,338 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:36:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2362, loss: 0.2362 +2025-07-02 06:41:52,097 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:36:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2662, loss: 0.2662 +2025-07-02 06:42:07,824 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:36:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2723, loss: 0.2723 +2025-07-02 06:42:23,404 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:36:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2865, loss: 0.2865 +2025-07-02 06:42:39,105 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:35:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 06:42:54,802 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:35:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2185, loss: 0.2185 +2025-07-02 06:43:10,489 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:35:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 06:43:26,140 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:34:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2289, loss: 0.2289 +2025-07-02 06:43:38,932 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 06:44:01,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:44:01,306 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9952 +2025-07-02 06:44:01,306 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9349, top5_acc: 0.9952 +2025-07-02 06:44:38,642 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:34:32, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2705, loss: 0.2705 +2025-07-02 06:44:54,359 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:34:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2524, loss: 0.2524 +2025-07-02 06:45:10,137 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:33:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9950, loss_cls: 0.2501, loss: 0.2501 +2025-07-02 06:45:25,789 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:33:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2199, loss: 0.2199 +2025-07-02 06:45:41,455 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:33:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2213, loss: 0.2213 +2025-07-02 06:45:57,099 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:33:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2225, loss: 0.2225 +2025-07-02 06:46:12,854 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:32:51, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2501, loss: 0.2501 +2025-07-02 06:46:28,537 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:32:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2553, loss: 0.2553 +2025-07-02 06:46:44,208 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:32:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2345, loss: 0.2345 +2025-07-02 06:46:59,960 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:32:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 06:47:15,648 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:31:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2446, loss: 0.2446 +2025-07-02 06:47:28,506 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 06:47:51,326 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:47:51,337 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9963 +2025-07-02 06:47:51,337 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9271, top5_acc: 0.9963 +2025-07-02 06:48:28,520 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:31:21, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2041, loss: 0.2041 +2025-07-02 06:48:44,114 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:31:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2243, loss: 0.2243 +2025-07-02 06:48:59,741 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:30:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2233, loss: 0.2233 +2025-07-02 06:49:15,360 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:30:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2578, loss: 0.2578 +2025-07-02 06:49:30,937 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:30:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2382, loss: 0.2382 +2025-07-02 06:49:46,623 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:29:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2595, loss: 0.2595 +2025-07-02 06:50:02,266 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:29:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2380, loss: 0.2380 +2025-07-02 06:50:17,870 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:29:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2597, loss: 0.2597 +2025-07-02 06:50:33,491 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:29:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2452, loss: 0.2452 +2025-07-02 06:50:49,074 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:28:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2597, loss: 0.2597 +2025-07-02 06:51:04,652 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:28:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2423, loss: 0.2423 +2025-07-02 06:51:17,406 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 06:51:39,688 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:51:39,698 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9941 +2025-07-02 06:51:39,698 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9405, top5_acc: 0.9941 +2025-07-02 06:52:16,933 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:28:09, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2471, loss: 0.2471 +2025-07-02 06:52:32,455 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:27:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2038, loss: 0.2038 +2025-07-02 06:52:48,129 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:27:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1987, loss: 0.1987 +2025-07-02 06:53:03,683 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:27:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.1991, loss: 0.1991 +2025-07-02 06:53:19,191 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:27:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2137, loss: 0.2137 +2025-07-02 06:53:34,843 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:26:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9950, loss_cls: 0.2395, loss: 0.2395 +2025-07-02 06:53:50,678 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:26:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 06:54:06,536 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:26:11, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 0.2240, loss: 0.2240 +2025-07-02 06:54:22,221 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:25:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2448, loss: 0.2448 +2025-07-02 06:54:37,908 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:25:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.2807, loss: 0.2807 +2025-07-02 06:54:53,593 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:25:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2634, loss: 0.2634 +2025-07-02 06:55:06,433 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 06:55:28,892 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:55:28,902 - pyskl - INFO - +top1_acc 0.9416 +top5_acc 0.9963 +2025-07-02 06:55:28,902 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9416, top5_acc: 0.9963 +2025-07-02 06:56:06,332 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:24:58, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2357, loss: 0.2357 +2025-07-02 06:56:21,831 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:24:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2310, loss: 0.2310 +2025-07-02 06:56:37,507 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:24:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2428, loss: 0.2428 +2025-07-02 06:56:53,125 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:24:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2479, loss: 0.2479 +2025-07-02 06:57:08,818 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:23:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2094, loss: 0.2094 +2025-07-02 06:57:24,503 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:23:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1926, loss: 0.1926 +2025-07-02 06:57:40,152 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:23:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2630, loss: 0.2630 +2025-07-02 06:57:55,798 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:23:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9938, loss_cls: 0.2397, loss: 0.2397 +2025-07-02 06:58:11,377 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:22:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2663, loss: 0.2663 +2025-07-02 06:58:27,005 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:22:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2563, loss: 0.2563 +2025-07-02 06:58:42,618 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:22:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2224, loss: 0.2224 +2025-07-02 06:58:55,442 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 06:59:18,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:59:18,031 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9941 +2025-07-02 06:59:18,031 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9338, top5_acc: 0.9941 +2025-07-02 06:59:55,236 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:21:46, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1769, loss: 0.1769 +2025-07-02 07:00:10,822 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:21:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1934, loss: 0.1934 +2025-07-02 07:00:26,434 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:21:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2291, loss: 0.2291 +2025-07-02 07:00:42,118 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:20:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9938, loss_cls: 0.2296, loss: 0.2296 +2025-07-02 07:00:57,825 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:20:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2298, loss: 0.2298 +2025-07-02 07:01:13,486 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:20:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.1995, loss: 0.1995 +2025-07-02 07:01:29,157 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:20:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2256, loss: 0.2256 +2025-07-02 07:01:44,787 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:19:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2267, loss: 0.2267 +2025-07-02 07:02:00,425 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:19:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2278, loss: 0.2278 +2025-07-02 07:02:16,101 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:19:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9938, loss_cls: 0.2347, loss: 0.2347 +2025-07-02 07:02:31,747 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:18:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1851, loss: 0.1851 +2025-07-02 07:02:44,728 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 07:03:07,199 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:03:07,210 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9952 +2025-07-02 07:03:07,210 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9405, top5_acc: 0.9952 +2025-07-02 07:03:44,702 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:18:35, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2384, loss: 0.2384 +2025-07-02 07:04:00,432 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:18:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2006, loss: 0.2006 +2025-07-02 07:04:16,123 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:18:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2131, loss: 0.2131 +2025-07-02 07:04:31,715 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:17:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2399, loss: 0.2399 +2025-07-02 07:04:47,340 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:17:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1953, loss: 0.1953 +2025-07-02 07:05:03,076 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:17:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2104, loss: 0.2104 +2025-07-02 07:05:18,697 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:16:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2181, loss: 0.2181 +2025-07-02 07:05:34,434 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:16:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2119, loss: 0.2119 +2025-07-02 07:05:50,156 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:16:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2480, loss: 0.2480 +2025-07-02 07:06:06,029 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:16:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2197, loss: 0.2197 +2025-07-02 07:06:21,883 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:15:47, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2592, loss: 0.2592 +2025-07-02 07:06:34,743 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 07:06:57,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:06:57,446 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9956 +2025-07-02 07:06:57,447 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9286, top5_acc: 0.9956 +2025-07-02 07:07:35,224 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:15:24, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1651, loss: 0.1651 +2025-07-02 07:07:50,897 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:15:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.1941, loss: 0.1941 +2025-07-02 07:08:06,539 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:14:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2117, loss: 0.2117 +2025-07-02 07:08:22,116 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:14:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 07:08:37,675 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:14:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1835, loss: 0.1835 +2025-07-02 07:08:53,294 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:14:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2090, loss: 0.2090 +2025-07-02 07:09:08,914 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:13:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2016, loss: 0.2016 +2025-07-02 07:09:24,499 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:13:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2059, loss: 0.2059 +2025-07-02 07:09:40,111 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:13:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2816, loss: 0.2816 +2025-07-02 07:09:55,686 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:12:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2009, loss: 0.2009 +2025-07-02 07:10:11,289 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:12:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2318, loss: 0.2318 +2025-07-02 07:10:24,045 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 07:10:46,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:10:46,466 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9959 +2025-07-02 07:10:46,466 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9301, top5_acc: 0.9959 +2025-07-02 07:11:24,105 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:12:13, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1840, loss: 0.1840 +2025-07-02 07:11:40,150 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:11:56, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1893, loss: 0.1893 +2025-07-02 07:11:56,025 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:11:39, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9950, loss_cls: 0.1860, loss: 0.1860 +2025-07-02 07:12:11,792 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:11:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 1.0000, loss_cls: 0.2030, loss: 0.2030 +2025-07-02 07:12:27,600 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:11:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2230, loss: 0.2230 +2025-07-02 07:12:43,482 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:10:49, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1953, loss: 0.1953 +2025-07-02 07:12:59,288 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:10:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9944, loss_cls: 0.2289, loss: 0.2289 +2025-07-02 07:13:15,036 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:10:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2403, loss: 0.2403 +2025-07-02 07:13:30,714 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:09:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 07:13:46,379 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:09:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2374, loss: 0.2374 +2025-07-02 07:14:02,023 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:09:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2495, loss: 0.2495 +2025-07-02 07:14:14,850 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 07:14:37,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:14:37,238 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9967 +2025-07-02 07:14:37,238 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9412, top5_acc: 0.9967 +2025-07-02 07:15:14,377 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:09:02, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1759, loss: 0.1759 +2025-07-02 07:15:30,033 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:08:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1897, loss: 0.1897 +2025-07-02 07:15:45,936 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:08:28, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1629, loss: 0.1629 +2025-07-02 07:16:01,541 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:08:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9950, loss_cls: 0.1705, loss: 0.1705 +2025-07-02 07:16:17,220 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:07:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1889, loss: 0.1889 +2025-07-02 07:16:32,836 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:07:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1594, loss: 0.1594 +2025-07-02 07:16:48,510 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:07:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1774, loss: 0.1774 +2025-07-02 07:17:04,155 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:07:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 07:17:19,749 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:06:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.1832, loss: 0.1832 +2025-07-02 07:17:35,374 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:06:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2188, loss: 0.2188 +2025-07-02 07:17:51,013 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:06:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2050, loss: 0.2050 +2025-07-02 07:18:03,835 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 07:18:26,204 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:18:26,215 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9963 +2025-07-02 07:18:26,215 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9386, top5_acc: 0.9963 +2025-07-02 07:19:03,187 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:05:50, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 0.2081, loss: 0.2081 +2025-07-02 07:19:18,929 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:05:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2080, loss: 0.2080 +2025-07-02 07:19:34,839 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:05:17, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1913, loss: 0.1913 +2025-07-02 07:19:50,570 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:05:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 07:20:06,308 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:04:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2197, loss: 0.2197 +2025-07-02 07:20:22,248 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:04:27, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1592, loss: 0.1592 +2025-07-02 07:20:38,149 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:04:10, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2113, loss: 0.2113 +2025-07-02 07:20:53,969 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:03:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1652, loss: 0.1652 +2025-07-02 07:21:09,630 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:03:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1711, loss: 0.1711 +2025-07-02 07:21:25,264 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:03:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.1977, loss: 0.1977 +2025-07-02 07:21:40,832 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:03:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.1893, loss: 0.1893 +2025-07-02 07:21:53,607 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 07:22:16,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:22:16,038 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9967 +2025-07-02 07:22:16,039 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9368, top5_acc: 0.9967 +2025-07-02 07:22:53,389 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:02:39, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2096, loss: 0.2096 +2025-07-02 07:23:09,073 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:02:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1813, loss: 0.1813 +2025-07-02 07:23:24,790 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:02:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1570, loss: 0.1570 +2025-07-02 07:23:40,498 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:01:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9956, loss_cls: 0.1822, loss: 0.1822 +2025-07-02 07:23:56,259 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:01:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2351, loss: 0.2351 +2025-07-02 07:24:12,008 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:01:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1735, loss: 0.1735 +2025-07-02 07:24:27,746 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 3:00:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 07:24:43,476 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 3:00:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2014, loss: 0.2014 +2025-07-02 07:24:59,252 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 3:00:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2140, loss: 0.2140 +2025-07-02 07:25:15,091 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 3:00:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1753, loss: 0.1753 +2025-07-02 07:25:30,711 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:59:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1598, loss: 0.1598 +2025-07-02 07:25:43,491 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 07:26:06,236 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:26:06,246 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9948 +2025-07-02 07:26:06,246 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9223, top5_acc: 0.9948 +2025-07-02 07:26:42,978 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:59:27, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1876, loss: 0.1876 +2025-07-02 07:26:58,578 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:59:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 07:27:14,279 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:58:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.1992, loss: 0.1992 +2025-07-02 07:27:29,961 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:58:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1721, loss: 0.1721 +2025-07-02 07:27:45,675 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:58:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.2206, loss: 0.2206 +2025-07-02 07:28:01,382 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:58:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2192, loss: 0.2192 +2025-07-02 07:28:17,135 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:57:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1536, loss: 0.1536 +2025-07-02 07:28:32,850 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:57:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.1910, loss: 0.1910 +2025-07-02 07:28:48,527 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:57:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1573, loss: 0.1573 +2025-07-02 07:29:04,208 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:56:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1663, loss: 0.1663 +2025-07-02 07:29:19,883 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:56:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2195, loss: 0.2195 +2025-07-02 07:29:32,718 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 07:29:55,246 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:29:55,257 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9945 +2025-07-02 07:29:55,257 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9360, top5_acc: 0.9945 +2025-07-02 07:30:32,116 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:56:15, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1457, loss: 0.1457 +2025-07-02 07:30:47,843 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1686, loss: 0.1686 +2025-07-02 07:31:03,931 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:55:42, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1472, loss: 0.1472 +2025-07-02 07:31:19,838 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:55:26, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1853, loss: 0.1853 +2025-07-02 07:31:35,575 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:55:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1371, loss: 0.1371 +2025-07-02 07:31:51,307 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:54:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.1824, loss: 0.1824 +2025-07-02 07:32:06,939 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:54:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.1998, loss: 0.1998 +2025-07-02 07:32:22,605 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:54:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2034, loss: 0.2034 +2025-07-02 07:32:38,266 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:54:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 07:32:53,963 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:53:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 07:33:09,623 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:53:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2121, loss: 0.2121 +2025-07-02 07:33:22,397 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 07:33:44,922 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:33:44,932 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9945 +2025-07-02 07:33:44,933 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9408, top5_acc: 0.9945 +2025-07-02 07:34:21,739 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:53:04, time: 0.368, data_time: 0.207, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1346, loss: 0.1346 +2025-07-02 07:34:37,431 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:52:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1597, loss: 0.1597 +2025-07-02 07:34:53,123 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:52:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9950, loss_cls: 0.1872, loss: 0.1872 +2025-07-02 07:35:08,851 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:52:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9950, loss_cls: 0.1752, loss: 0.1752 +2025-07-02 07:35:24,739 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:57, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1496, loss: 0.1496 +2025-07-02 07:35:40,686 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:51:40, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 07:35:56,479 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:51:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1698, loss: 0.1698 +2025-07-02 07:36:12,218 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:51:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1600, loss: 0.1600 +2025-07-02 07:36:27,988 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:50:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2135, loss: 0.2135 +2025-07-02 07:36:43,679 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:50:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1790, loss: 0.1790 +2025-07-02 07:36:59,274 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:50:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2427, loss: 0.2427 +2025-07-02 07:37:12,087 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 07:37:34,548 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:37:34,558 - pyskl - INFO - +top1_acc 0.9390 +top5_acc 0.9948 +2025-07-02 07:37:34,559 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9390, top5_acc: 0.9948 +2025-07-02 07:38:11,838 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:49:52, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1562, loss: 0.1562 +2025-07-02 07:38:27,438 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:49:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1682, loss: 0.1682 +2025-07-02 07:38:43,137 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:49:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1717, loss: 0.1717 +2025-07-02 07:38:58,745 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:49:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1650, loss: 0.1650 +2025-07-02 07:39:14,442 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:48:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1717, loss: 0.1717 +2025-07-02 07:39:30,123 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:48:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1417, loss: 0.1417 +2025-07-02 07:39:45,831 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:48:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1619, loss: 0.1619 +2025-07-02 07:40:01,533 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1353, loss: 0.1353 +2025-07-02 07:40:17,253 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:47:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1804, loss: 0.1804 +2025-07-02 07:40:32,975 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:47:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1707, loss: 0.1707 +2025-07-02 07:40:48,706 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:47:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1716, loss: 0.1716 +2025-07-02 07:41:01,549 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 07:41:24,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:41:24,143 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9945 +2025-07-02 07:41:24,143 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9345, top5_acc: 0.9945 +2025-07-02 07:42:01,739 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:46:41, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1435, loss: 0.1435 +2025-07-02 07:42:17,408 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:46:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1722, loss: 0.1722 +2025-07-02 07:42:33,093 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:46:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1688, loss: 0.1688 +2025-07-02 07:42:48,774 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:45:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1690, loss: 0.1690 +2025-07-02 07:43:04,422 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:45:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1513, loss: 0.1513 +2025-07-02 07:43:20,000 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:45:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1710, loss: 0.1710 +2025-07-02 07:43:35,585 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:45:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1695, loss: 0.1695 +2025-07-02 07:43:51,179 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:44:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1574, loss: 0.1574 +2025-07-02 07:44:06,776 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:44:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1667, loss: 0.1667 +2025-07-02 07:44:22,372 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:44:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1762, loss: 0.1762 +2025-07-02 07:44:37,942 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:43:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1617, loss: 0.1617 +2025-07-02 07:44:50,772 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 07:45:13,094 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:45:13,104 - pyskl - INFO - +top1_acc 0.9260 +top5_acc 0.9967 +2025-07-02 07:45:13,104 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9260, top5_acc: 0.9967 +2025-07-02 07:45:50,501 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:43:29, time: 0.374, data_time: 0.212, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1137, loss: 0.1137 +2025-07-02 07:46:06,125 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:43:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1061, loss: 0.1061 +2025-07-02 07:46:21,778 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1782, loss: 0.1782 +2025-07-02 07:46:37,457 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:42:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1566, loss: 0.1566 +2025-07-02 07:46:53,204 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:42:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1604, loss: 0.1604 +2025-07-02 07:47:08,774 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:42:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1589, loss: 0.1589 +2025-07-02 07:47:24,316 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:41:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1740, loss: 0.1740 +2025-07-02 07:47:39,843 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:41:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9956, loss_cls: 0.1625, loss: 0.1625 +2025-07-02 07:47:55,372 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:41:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1618, loss: 0.1618 +2025-07-02 07:48:10,897 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1561, loss: 0.1561 +2025-07-02 07:48:26,398 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:40:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1453, loss: 0.1453 +2025-07-02 07:48:39,049 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 07:49:01,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:49:01,459 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9941 +2025-07-02 07:49:01,460 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9412, top5_acc: 0.9941 +2025-07-02 07:49:38,725 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:40:16, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1282, loss: 0.1282 +2025-07-02 07:49:54,367 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1417, loss: 0.1417 +2025-07-02 07:50:10,065 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:39:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1585, loss: 0.1585 +2025-07-02 07:50:25,791 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:39:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 07:50:41,483 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:39:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9956, loss_cls: 0.1426, loss: 0.1426 +2025-07-02 07:50:57,175 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1637, loss: 0.1637 +2025-07-02 07:51:12,903 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:38:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.1973, loss: 0.1973 +2025-07-02 07:51:28,423 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:38:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2149, loss: 0.2149 +2025-07-02 07:51:43,992 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:38:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2068, loss: 0.2068 +2025-07-02 07:51:59,497 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:37:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1521, loss: 0.1521 +2025-07-02 07:52:15,003 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:37:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9956, loss_cls: 0.1614, loss: 0.1614 +2025-07-02 07:52:27,634 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 07:52:50,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:52:50,129 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9963 +2025-07-02 07:52:50,133 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_82.pth was removed +2025-07-02 07:52:50,243 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2025-07-02 07:52:50,243 - pyskl - INFO - Best top1_acc is 0.9486 at 101 epoch. +2025-07-02 07:52:50,244 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9486, top5_acc: 0.9963 +2025-07-02 07:53:27,767 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:37:04, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1557, loss: 0.1557 +2025-07-02 07:53:43,369 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:36:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1439, loss: 0.1439 +2025-07-02 07:53:59,138 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:36:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1453, loss: 0.1453 +2025-07-02 07:54:14,888 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:36:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1274, loss: 0.1274 +2025-07-02 07:54:30,605 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1185, loss: 0.1185 +2025-07-02 07:54:46,315 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:35:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1481, loss: 0.1481 +2025-07-02 07:55:01,981 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:35:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1331, loss: 0.1331 +2025-07-02 07:55:17,639 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:35:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1269, loss: 0.1269 +2025-07-02 07:55:33,307 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2002, loss: 0.2002 +2025-07-02 07:55:48,914 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:34:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1601, loss: 0.1601 +2025-07-02 07:56:04,536 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:34:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1304, loss: 0.1304 +2025-07-02 07:56:17,271 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 07:56:40,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:56:40,202 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9963 +2025-07-02 07:56:40,202 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9379, top5_acc: 0.9963 +2025-07-02 07:57:17,332 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:52, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 07:57:33,003 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:33:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 07:57:48,698 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:33:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1117, loss: 0.1117 +2025-07-02 07:58:04,389 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:33:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1443, loss: 0.1443 +2025-07-02 07:58:20,039 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:32:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.1025, loss: 0.1025 +2025-07-02 07:58:35,639 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:32:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1371, loss: 0.1371 +2025-07-02 07:58:51,316 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:32:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1214, loss: 0.1214 +2025-07-02 07:59:06,916 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9969, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 07:59:22,510 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:31:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1536, loss: 0.1536 +2025-07-02 07:59:38,046 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:31:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1584, loss: 0.1584 +2025-07-02 07:59:53,644 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:31:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1402, loss: 0.1402 +2025-07-02 08:00:06,346 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 08:00:28,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:00:28,930 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9978 +2025-07-02 08:00:28,931 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9397, top5_acc: 0.9978 +2025-07-02 08:01:05,972 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:30:40, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1319, loss: 0.1319 +2025-07-02 08:01:21,720 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:30:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1309, loss: 0.1309 +2025-07-02 08:01:37,416 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:30:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1413, loss: 0.1413 +2025-07-02 08:01:53,143 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1136, loss: 0.1136 +2025-07-02 08:02:08,956 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:29:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1312, loss: 0.1312 +2025-07-02 08:02:24,755 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:29:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1711, loss: 0.1711 +2025-07-02 08:02:40,655 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:29:00, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1094, loss: 0.1094 +2025-07-02 08:02:56,496 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:28:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9962, loss_cls: 0.1509, loss: 0.1509 +2025-07-02 08:03:12,182 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:28:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1317, loss: 0.1317 +2025-07-02 08:03:28,047 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:28:10, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1361, loss: 0.1361 +2025-07-02 08:03:43,684 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1798, loss: 0.1798 +2025-07-02 08:03:56,483 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 08:04:18,735 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:04:18,746 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9945 +2025-07-02 08:04:18,747 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9349, top5_acc: 0.9945 +2025-07-02 08:04:56,109 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:27:28, time: 0.374, data_time: 0.213, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2004, loss: 0.2004 +2025-07-02 08:05:11,799 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:27:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 08:05:27,623 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1497, loss: 0.1497 +2025-07-02 08:05:43,368 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:26:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1350, loss: 0.1350 +2025-07-02 08:05:59,178 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:26:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1084, loss: 0.1084 +2025-07-02 08:06:14,936 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:26:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 08:06:30,655 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1362, loss: 0.1362 +2025-07-02 08:06:46,405 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:25:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1454, loss: 0.1454 +2025-07-02 08:07:02,105 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:25:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1137, loss: 0.1137 +2025-07-02 08:07:17,811 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1464, loss: 0.1464 +2025-07-02 08:07:33,544 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:24:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1001, loss: 0.1001 +2025-07-02 08:07:46,402 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 08:08:08,614 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:08:08,625 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9945 +2025-07-02 08:08:08,625 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9120, top5_acc: 0.9945 +2025-07-02 08:08:45,592 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:24:16, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1322, loss: 0.1322 +2025-07-02 08:09:01,198 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 08:09:16,867 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:23:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 08:09:32,538 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:23:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0898, loss: 0.0898 +2025-07-02 08:09:48,296 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:23:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9938, loss_cls: 0.1358, loss: 0.1358 +2025-07-02 08:10:04,130 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 08:10:19,829 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:22:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 08:10:35,406 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:22:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9956, loss_cls: 0.1159, loss: 0.1159 +2025-07-02 08:10:51,010 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:22:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 08:11:06,605 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1177, loss: 0.1177 +2025-07-02 08:11:22,176 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:21:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1129, loss: 0.1129 +2025-07-02 08:11:34,863 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 08:11:57,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:11:57,215 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9970 +2025-07-02 08:11:57,216 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9423, top5_acc: 0.9970 +2025-07-02 08:12:34,827 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:21:04, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0948, loss: 0.0948 +2025-07-02 08:12:50,668 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0942, loss: 0.0942 +2025-07-02 08:13:06,478 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:20:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 08:13:22,200 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:20:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1226, loss: 0.1226 +2025-07-02 08:13:37,848 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1463, loss: 0.1463 +2025-07-02 08:13:53,516 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:19:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1538, loss: 0.1538 +2025-07-02 08:14:09,174 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:19:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 08:14:24,758 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:19:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1368, loss: 0.1368 +2025-07-02 08:14:40,267 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1269, loss: 0.1269 +2025-07-02 08:14:55,809 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:18:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1274, loss: 0.1274 +2025-07-02 08:15:11,374 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:18:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 08:15:24,171 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 08:15:46,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:15:46,577 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9959 +2025-07-02 08:15:46,581 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_101.pth was removed +2025-07-02 08:15:46,695 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2025-07-02 08:15:46,695 - pyskl - INFO - Best top1_acc is 0.9527 at 107 epoch. +2025-07-02 08:15:46,696 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9527, top5_acc: 0.9959 +2025-07-02 08:16:24,276 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:52, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 08:16:39,940 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:17:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1235, loss: 0.1235 +2025-07-02 08:16:55,669 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:17:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1149, loss: 0.1149 +2025-07-02 08:17:11,423 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:17:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1172, loss: 0.1172 +2025-07-02 08:17:27,161 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1062, loss: 0.1062 +2025-07-02 08:17:42,817 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:16:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1372, loss: 0.1372 +2025-07-02 08:17:58,402 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:16:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1448, loss: 0.1448 +2025-07-02 08:18:13,954 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 08:18:29,500 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:15:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 08:18:45,048 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:15:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1164, loss: 0.1164 +2025-07-02 08:19:00,712 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:15:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1225, loss: 0.1225 +2025-07-02 08:19:13,437 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 08:19:35,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:19:35,670 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9945 +2025-07-02 08:19:35,671 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9375, top5_acc: 0.9945 +2025-07-02 08:20:12,976 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:14:39, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.1030, loss: 0.1030 +2025-07-02 08:20:28,598 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:14:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 08:20:44,297 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:14:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1256, loss: 0.1256 +2025-07-02 08:21:00,018 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 08:21:15,711 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:13:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0860, loss: 0.0860 +2025-07-02 08:21:31,414 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:13:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 08:21:47,117 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0881, loss: 0.0881 +2025-07-02 08:22:02,913 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:12:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 08:22:18,665 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:12:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0960, loss: 0.0960 +2025-07-02 08:22:34,389 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:12:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1215, loss: 0.1215 +2025-07-02 08:22:50,143 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.0909, loss: 0.0909 +2025-07-02 08:23:03,153 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 08:23:26,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:23:26,105 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9941 +2025-07-02 08:23:26,105 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9408, top5_acc: 0.9941 +2025-07-02 08:24:03,935 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:11:27, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 08:24:19,629 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:11:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 08:24:35,410 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.1020, loss: 0.1020 +2025-07-02 08:24:51,090 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:10:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 08:25:06,696 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:10:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0754, loss: 0.0754 +2025-07-02 08:25:22,635 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:10:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 08:25:38,317 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1201, loss: 0.1201 +2025-07-02 08:25:53,933 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:09:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1120, loss: 0.1120 +2025-07-02 08:26:09,577 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:09:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1078, loss: 0.1078 +2025-07-02 08:26:25,289 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 08:26:40,907 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:08:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0959, loss: 0.0959 +2025-07-02 08:26:53,846 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 08:27:16,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:27:16,472 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9945 +2025-07-02 08:27:16,472 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9427, top5_acc: 0.9945 +2025-07-02 08:27:53,943 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:08:15, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0816, loss: 0.0816 +2025-07-02 08:28:09,596 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0844, loss: 0.0844 +2025-07-02 08:28:25,279 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:07:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 08:28:40,919 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:07:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 08:28:56,518 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:07:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1151, loss: 0.1151 +2025-07-02 08:29:12,153 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1305, loss: 0.1305 +2025-07-02 08:29:27,782 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:06:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0972, loss: 0.0972 +2025-07-02 08:29:43,425 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:06:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 08:29:59,013 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:06:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1349, loss: 0.1349 +2025-07-02 08:30:14,605 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1043, loss: 0.1043 +2025-07-02 08:30:30,221 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:05:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0749, loss: 0.0749 +2025-07-02 08:30:43,031 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 08:31:06,106 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:31:06,116 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9963 +2025-07-02 08:31:06,117 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9486, top5_acc: 0.9963 +2025-07-02 08:31:44,072 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:05:03, time: 0.380, data_time: 0.218, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0964, loss: 0.0964 +2025-07-02 08:31:59,862 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1198, loss: 0.1198 +2025-07-02 08:32:15,622 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:04:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1017, loss: 0.1017 +2025-07-02 08:32:31,427 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:04:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9969, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 08:32:47,159 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1103, loss: 0.1103 +2025-07-02 08:33:02,910 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:03:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 08:33:18,644 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:03:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1141, loss: 0.1141 +2025-07-02 08:33:34,352 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:03:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1197, loss: 0.1197 +2025-07-02 08:33:50,029 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1328, loss: 0.1328 +2025-07-02 08:34:05,701 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:02:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1047, loss: 0.1047 +2025-07-02 08:34:21,358 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:02:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1096, loss: 0.1096 +2025-07-02 08:34:34,337 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 08:34:57,852 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:34:57,862 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9963 +2025-07-02 08:34:57,866 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_107.pth was removed +2025-07-02 08:34:57,986 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-07-02 08:34:57,987 - pyskl - INFO - Best top1_acc is 0.9530 at 112 epoch. +2025-07-02 08:34:57,987 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9530, top5_acc: 0.9963 +2025-07-02 08:35:35,665 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:51, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 08:35:51,346 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:01:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0861, loss: 0.0861 +2025-07-02 08:36:06,956 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:01:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 08:36:22,762 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:01:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 08:36:38,428 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 08:36:54,176 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 2:00:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0848, loss: 0.0848 +2025-07-02 08:37:09,896 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 2:00:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0794, loss: 0.0794 +2025-07-02 08:37:25,630 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0984, loss: 0.0984 +2025-07-02 08:37:41,340 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:59:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 08:37:57,007 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:59:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1267, loss: 0.1267 +2025-07-02 08:38:12,708 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:59:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0820, loss: 0.0820 +2025-07-02 08:38:25,600 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 08:38:49,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:38:49,157 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9956 +2025-07-02 08:38:49,157 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9397, top5_acc: 0.9956 +2025-07-02 08:39:26,863 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:58:39, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 08:39:42,553 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:58:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 08:39:58,319 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:58:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 08:40:13,989 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 08:40:29,672 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:57:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0923, loss: 0.0923 +2025-07-02 08:40:45,288 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:57:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0861, loss: 0.0861 +2025-07-02 08:41:00,884 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 08:41:16,493 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1021, loss: 0.1021 +2025-07-02 08:41:32,094 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:56:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 08:41:47,691 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:56:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 08:42:03,292 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 08:42:16,041 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 08:42:38,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:42:38,590 - pyskl - INFO - +top1_acc 0.9445 +top5_acc 0.9959 +2025-07-02 08:42:38,590 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9445, top5_acc: 0.9959 +2025-07-02 08:43:16,565 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:55:26, time: 0.380, data_time: 0.218, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0731, loss: 0.0731 +2025-07-02 08:43:32,249 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:55:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0994, loss: 0.0994 +2025-07-02 08:43:47,987 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 08:44:03,674 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:54:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 08:44:19,358 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:54:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.0872, loss: 0.0872 +2025-07-02 08:44:35,010 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:54:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 08:44:50,655 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0903, loss: 0.0903 +2025-07-02 08:45:06,302 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:53:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0842, loss: 0.0842 +2025-07-02 08:45:21,928 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:53:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0863, loss: 0.0863 +2025-07-02 08:45:37,579 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 08:45:53,233 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0898, loss: 0.0898 +2025-07-02 08:46:06,133 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 08:46:30,130 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:46:30,140 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9952 +2025-07-02 08:46:30,141 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9423, top5_acc: 0.9952 +2025-07-02 08:47:08,107 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:52:14, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 08:47:23,765 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 08:47:39,760 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:41, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 08:47:55,601 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:51:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0750, loss: 0.0750 +2025-07-02 08:48:11,321 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:51:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 08:48:26,972 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0749, loss: 0.0749 +2025-07-02 08:48:42,628 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:50:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 08:48:58,307 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:50:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9962, loss_cls: 0.0949, loss: 0.0949 +2025-07-02 08:49:13,924 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:50:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.0938, loss: 0.0938 +2025-07-02 08:49:29,684 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0896, loss: 0.0896 +2025-07-02 08:49:45,531 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:49:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 08:49:58,460 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 08:50:21,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:50:21,488 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9945 +2025-07-02 08:50:21,492 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_112.pth was removed +2025-07-02 08:50:21,606 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-07-02 08:50:21,606 - pyskl - INFO - Best top1_acc is 0.9538 at 116 epoch. +2025-07-02 08:50:21,607 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9538, top5_acc: 0.9945 +2025-07-02 08:50:59,131 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:49:02, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 08:51:14,857 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0649, loss: 0.0649 +2025-07-02 08:51:30,546 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:48:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 08:51:46,356 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:48:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0742, loss: 0.0742 +2025-07-02 08:52:02,142 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 08:52:17,849 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0927, loss: 0.0927 +2025-07-02 08:52:33,585 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:47:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0612, loss: 0.0612 +2025-07-02 08:52:49,242 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:47:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0903, loss: 0.0903 +2025-07-02 08:53:04,907 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 08:53:20,555 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:46:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0746, loss: 0.0746 +2025-07-02 08:53:36,210 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:46:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 08:53:49,173 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 08:54:12,189 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:54:12,199 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9963 +2025-07-02 08:54:12,199 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9512, top5_acc: 0.9963 +2025-07-02 08:54:50,214 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:49, time: 0.380, data_time: 0.217, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0501, loss: 0.0501 +2025-07-02 08:55:05,999 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:45:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 08:55:21,647 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:45:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0700, loss: 0.0700 +2025-07-02 08:55:37,354 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:45:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0607, loss: 0.0607 +2025-07-02 08:55:52,995 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 08:56:08,555 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:44:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 08:56:24,097 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:44:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 08:56:39,765 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 08:56:55,511 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 08:57:11,141 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:43:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1004, loss: 0.1004 +2025-07-02 08:57:26,863 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:43:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0636, loss: 0.0636 +2025-07-02 08:57:39,648 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 08:58:02,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:58:02,672 - pyskl - INFO - +top1_acc 0.9490 +top5_acc 0.9945 +2025-07-02 08:58:02,672 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9490, top5_acc: 0.9945 +2025-07-02 08:58:40,317 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:37, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 08:58:56,053 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:42:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0798, loss: 0.0798 +2025-07-02 08:59:11,686 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:42:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 08:59:27,338 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 08:59:42,928 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:41:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 08:59:58,535 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:41:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 09:00:14,177 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 09:00:29,935 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 09:00:45,612 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:40:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 09:01:01,241 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:40:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 09:01:16,832 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 09:01:29,632 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 09:01:52,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:01:52,465 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9970 +2025-07-02 09:01:52,469 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_116.pth was removed +2025-07-02 09:01:52,593 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-07-02 09:01:52,594 - pyskl - INFO - Best top1_acc is 0.9541 at 119 epoch. +2025-07-02 09:01:52,595 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9541, top5_acc: 0.9970 +2025-07-02 09:02:30,101 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:39:24, time: 0.375, data_time: 0.213, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 09:02:45,718 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:39:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 09:03:01,342 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 09:03:16,960 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 09:03:32,554 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:38:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0604, loss: 0.0604 +2025-07-02 09:03:48,113 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:38:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 09:04:03,675 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 09:04:19,226 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:37:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 09:04:34,748 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:37:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 09:04:50,275 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 09:05:05,836 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 09:05:18,665 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 09:05:41,009 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:05:41,020 - pyskl - INFO - +top1_acc 0.9497 +top5_acc 0.9970 +2025-07-02 09:05:41,020 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9497, top5_acc: 0.9970 +2025-07-02 09:06:18,252 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:36:11, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 09:06:33,929 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 09:06:49,597 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 09:07:05,265 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:35:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0625, loss: 0.0625 +2025-07-02 09:07:20,989 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:35:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 09:07:36,667 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 09:07:52,391 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:34:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 09:08:08,069 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:34:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 09:08:23,653 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0585, loss: 0.0585 +2025-07-02 09:08:39,255 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 09:08:54,874 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:33:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0708, loss: 0.0708 +2025-07-02 09:09:07,647 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 09:09:30,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:09:30,525 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9974 +2025-07-02 09:09:30,530 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_119.pth was removed +2025-07-02 09:09:30,644 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 09:09:30,644 - pyskl - INFO - Best top1_acc is 0.9582 at 121 epoch. +2025-07-02 09:09:30,645 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9582, top5_acc: 0.9974 +2025-07-02 09:10:08,297 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:59, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 09:10:24,050 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0627, loss: 0.0627 +2025-07-02 09:10:39,819 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:32:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0523, loss: 0.0523 +2025-07-02 09:10:55,612 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:32:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 09:11:11,328 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:11:27,064 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 09:11:42,778 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:31:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 09:11:58,466 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:31:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 09:12:14,156 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 09:12:29,790 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:30:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 09:12:45,437 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:30:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 09:12:58,270 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 09:13:20,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:13:20,699 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9967 +2025-07-02 09:13:20,699 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9553, top5_acc: 0.9967 +2025-07-02 09:13:58,339 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:46, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 09:14:14,145 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:29:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 09:14:29,889 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:29:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0578, loss: 0.0578 +2025-07-02 09:14:45,795 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0595, loss: 0.0595 +2025-07-02 09:15:01,592 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 09:15:17,487 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:28:23, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 09:15:33,292 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:28:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 09:15:49,169 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:50, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:16:04,989 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0681, loss: 0.0681 +2025-07-02 09:16:20,885 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:27:18, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 09:16:36,493 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:27:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0492, loss: 0.0492 +2025-07-02 09:16:49,333 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 09:17:11,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:17:11,824 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9959 +2025-07-02 09:17:11,825 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9567, top5_acc: 0.9959 +2025-07-02 09:17:49,095 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:34, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 09:18:04,757 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:26:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 09:18:20,521 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:26:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0618, loss: 0.0618 +2025-07-02 09:18:36,166 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 09:18:51,832 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:25:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0561, loss: 0.0561 +2025-07-02 09:19:07,452 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:25:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 09:19:23,082 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 09:19:38,737 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 09:19:54,417 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:24:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 09:20:10,018 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:24:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 09:20:25,679 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 09:20:38,619 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 09:21:01,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:21:01,592 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9963 +2025-07-02 09:21:01,592 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9534, top5_acc: 0.9963 +2025-07-02 09:21:39,086 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:23:21, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 09:21:54,862 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:23:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 09:22:10,560 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0554, loss: 0.0554 +2025-07-02 09:22:26,295 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 09:22:41,940 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:22:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 09:22:57,570 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 09:23:13,191 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 09:23:28,786 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:21:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 09:23:44,464 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:21:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 09:24:00,119 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 09:24:15,781 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 09:24:28,614 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 09:24:51,582 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:24:51,593 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9982 +2025-07-02 09:24:51,593 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9564, top5_acc: 0.9982 +2025-07-02 09:25:29,094 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:20:08, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 09:25:44,935 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 09:26:00,650 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 09:26:16,417 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:19:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0612, loss: 0.0612 +2025-07-02 09:26:32,129 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:19:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 09:26:47,824 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 09:27:03,508 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 09:27:19,237 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:18:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 09:27:35,046 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0520, loss: 0.0520 +2025-07-02 09:27:50,805 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 09:28:06,576 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:17:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 09:28:19,369 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 09:28:42,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:28:42,151 - pyskl - INFO - +top1_acc 0.9589 +top5_acc 0.9967 +2025-07-02 09:28:42,155 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_121.pth was removed +2025-07-02 09:28:42,267 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2025-07-02 09:28:42,267 - pyskl - INFO - Best top1_acc is 0.9589 at 126 epoch. +2025-07-02 09:28:42,268 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9589, top5_acc: 0.9967 +2025-07-02 09:29:19,701 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:55, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 09:29:35,527 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 09:29:51,248 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:16:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 09:30:06,910 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:16:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0489, loss: 0.0489 +2025-07-02 09:30:22,547 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 09:30:38,175 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 09:30:53,822 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:15:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 09:31:09,469 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:15:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 09:31:25,115 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 09:31:40,777 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 09:31:56,467 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:14:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 09:32:09,321 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 09:32:31,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:32:31,958 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9963 +2025-07-02 09:32:31,962 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_126.pth was removed +2025-07-02 09:32:32,076 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 09:32:32,077 - pyskl - INFO - Best top1_acc is 0.9604 at 127 epoch. +2025-07-02 09:32:32,077 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9604, top5_acc: 0.9963 +2025-07-02 09:33:09,614 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:43, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 09:33:25,319 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:13:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 09:33:41,075 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:13:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 09:33:56,801 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 09:34:12,385 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 09:34:27,967 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:12:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 09:34:43,573 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:12:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 09:34:59,129 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 09:35:14,735 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 09:35:30,308 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:11:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 09:35:45,896 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 09:35:58,634 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 09:36:21,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:36:21,417 - pyskl - INFO - +top1_acc 0.9556 +top5_acc 0.9967 +2025-07-02 09:36:21,418 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9556, top5_acc: 0.9967 +2025-07-02 09:36:58,732 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:30, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 09:37:14,533 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:10:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 09:37:30,244 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 09:37:45,897 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 09:38:01,541 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:09:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 09:38:17,211 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:09:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 09:38:32,844 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 09:38:48,519 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0506, loss: 0.0506 +2025-07-02 09:39:04,282 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:08:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 09:39:20,141 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:08:01, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 09:39:35,880 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 09:39:48,869 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 09:40:11,702 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:40:11,712 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9963 +2025-07-02 09:40:11,713 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9578, top5_acc: 0.9963 +2025-07-02 09:40:49,081 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:07:17, time: 0.374, data_time: 0.211, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 09:41:04,798 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:07:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 09:41:20,539 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 09:41:36,251 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 09:41:51,955 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:06:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 09:42:07,652 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 09:42:23,365 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 09:42:39,036 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:05:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 09:42:54,731 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:05:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 09:43:10,427 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0479, loss: 0.0479 +2025-07-02 09:43:26,118 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 09:43:39,033 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 09:44:02,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:44:02,496 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9974 +2025-07-02 09:44:02,500 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_127.pth was removed +2025-07-02 09:44:02,619 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-07-02 09:44:02,620 - pyskl - INFO - Best top1_acc is 0.9612 at 130 epoch. +2025-07-02 09:44:02,621 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9612, top5_acc: 0.9974 +2025-07-02 09:44:40,696 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:04:04, time: 0.381, data_time: 0.219, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 09:44:56,357 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 09:45:12,419 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:31, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 09:45:28,209 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:03:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 09:45:44,004 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 09:45:59,752 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 09:46:15,440 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 09:46:31,129 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:02:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9969, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 09:46:46,826 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 09:47:02,491 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 09:47:18,194 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:01:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 09:47:31,280 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 09:47:54,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:47:54,062 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9967 +2025-07-02 09:47:54,062 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9612, top5_acc: 0.9967 +2025-07-02 09:48:31,578 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:51, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 09:48:47,276 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 09:49:02,918 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 1:00:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 09:49:18,687 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 1:00:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 09:49:34,478 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 09:49:50,131 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 09:50:05,766 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:59:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 09:50:21,349 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 09:50:36,966 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 09:50:52,574 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 09:51:08,199 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:58:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 09:51:21,195 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 09:51:44,808 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:51:44,819 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9970 +2025-07-02 09:51:44,819 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9612, top5_acc: 0.9970 +2025-07-02 09:52:22,477 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:39, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 09:52:38,184 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 09:52:53,900 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:57:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 09:53:09,776 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:49, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 09:53:25,512 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 09:53:41,178 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:56:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 09:53:56,863 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:56:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 09:54:12,564 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 09:54:28,248 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 09:54:43,922 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:55:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 09:54:59,647 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 09:55:12,610 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 09:55:35,428 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:55:35,438 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9970 +2025-07-02 09:55:35,442 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_130.pth was removed +2025-07-02 09:55:35,561 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 09:55:35,562 - pyskl - INFO - Best top1_acc is 0.9619 at 133 epoch. +2025-07-02 09:55:35,562 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9619, top5_acc: 0.9970 +2025-07-02 09:56:13,334 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:26, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 09:56:28,974 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:54:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 09:56:44,587 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 09:57:00,216 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 09:57:15,795 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 09:57:31,356 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:53:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 09:57:46,872 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 09:58:02,391 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 09:58:17,913 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:52:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 09:58:33,444 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 09:58:49,029 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 09:59:01,880 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 09:59:24,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:59:24,709 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9970 +2025-07-02 09:59:24,713 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_133.pth was removed +2025-07-02 09:59:24,825 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 09:59:24,826 - pyskl - INFO - Best top1_acc is 0.9630 at 134 epoch. +2025-07-02 09:59:24,826 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9630, top5_acc: 0.9970 +2025-07-02 10:00:02,121 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:51:13, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 10:00:17,889 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 10:00:33,578 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:00:49,213 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 10:01:04,870 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:50:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 10:01:20,547 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 10:01:36,204 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 10:01:51,870 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:49:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 10:02:07,559 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:49:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 10:02:23,216 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 10:02:38,968 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 10:02:51,731 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 10:03:14,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:03:14,768 - pyskl - INFO - +top1_acc 0.9623 +top5_acc 0.9967 +2025-07-02 10:03:14,768 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9623, top5_acc: 0.9967 +2025-07-02 10:03:52,443 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:48:00, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 10:04:08,095 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:04:23,728 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 10:04:39,361 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:47:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 10:04:55,001 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 10:05:10,628 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0217, loss: 0.0217 +2025-07-02 10:05:26,235 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 10:05:41,848 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:46:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:05:57,463 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:06:13,123 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 10:06:28,830 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:45:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:06:41,726 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 10:07:04,908 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:07:04,918 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9967 +2025-07-02 10:07:04,922 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_134.pth was removed +2025-07-02 10:07:05,040 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2025-07-02 10:07:05,041 - pyskl - INFO - Best top1_acc is 0.9645 at 136 epoch. +2025-07-02 10:07:05,041 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9645, top5_acc: 0.9967 +2025-07-02 10:07:42,630 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:47, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:07:58,353 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 10:08:14,027 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:44:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 10:08:29,655 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 10:08:45,306 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 10:09:00,926 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 10:09:16,556 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:43:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 10:09:32,168 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 10:09:47,793 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:10:03,483 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 10:10:19,164 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:42:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 10:10:32,169 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 10:10:55,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:10:55,142 - pyskl - INFO - +top1_acc 0.9663 +top5_acc 0.9982 +2025-07-02 10:10:55,146 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_136.pth was removed +2025-07-02 10:10:55,268 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2025-07-02 10:10:55,269 - pyskl - INFO - Best top1_acc is 0.9663 at 137 epoch. +2025-07-02 10:10:55,269 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9663, top5_acc: 0.9982 +2025-07-02 10:11:32,660 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:34, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0193, loss: 0.0193 +2025-07-02 10:11:48,344 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 10:12:04,015 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:41:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 10:12:19,672 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:12:35,326 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 10:12:50,999 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:40:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 10:13:06,671 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 10:13:22,334 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 10:13:38,007 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:13:53,688 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:39:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 10:14:09,404 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 10:14:22,282 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 10:14:45,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:14:45,513 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9970 +2025-07-02 10:14:45,514 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9619, top5_acc: 0.9970 +2025-07-02 10:15:23,489 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:21, time: 0.380, data_time: 0.219, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:15:39,146 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:38:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:15:54,769 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:16:10,397 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 10:16:26,020 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 10:16:41,619 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 10:16:57,262 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:17:12,883 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 10:17:28,470 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:36:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 10:17:44,104 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:17:59,747 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:18:12,611 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 10:18:36,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:18:36,177 - pyskl - INFO - +top1_acc 0.9660 +top5_acc 0.9978 +2025-07-02 10:18:36,178 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9660, top5_acc: 0.9978 +2025-07-02 10:19:13,692 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:35:08, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:19:29,401 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:19:45,110 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 10:20:00,783 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 10:20:16,471 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:34:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 10:20:32,154 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0170, loss: 0.0170 +2025-07-02 10:20:47,799 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 10:21:03,449 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0133, loss: 0.0133 +2025-07-02 10:21:19,099 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0156, loss: 0.0156 +2025-07-02 10:21:34,735 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:21:50,451 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:22:03,301 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 10:22:26,229 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:22:26,239 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9963 +2025-07-02 10:22:26,239 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9615, top5_acc: 0.9963 +2025-07-02 10:23:04,085 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:55, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0190, loss: 0.0190 +2025-07-02 10:23:19,735 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0149, loss: 0.0149 +2025-07-02 10:23:35,517 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0136, loss: 0.0136 +2025-07-02 10:23:51,207 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:31:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 10:24:06,943 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0195, loss: 0.0195 +2025-07-02 10:24:22,581 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 10:24:38,220 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0153, loss: 0.0153 +2025-07-02 10:24:53,826 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 10:25:09,511 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:25:25,148 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:25:40,794 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:29:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 10:25:53,552 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 10:26:16,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:26:16,941 - pyskl - INFO - +top1_acc 0.9623 +top5_acc 0.9967 +2025-07-02 10:26:16,942 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9623, top5_acc: 0.9967 +2025-07-02 10:26:54,542 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:41, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 10:27:10,431 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:25, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:27:26,059 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:28:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 10:27:41,713 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 10:27:57,387 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 10:28:13,070 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 10:28:28,752 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:27:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0140, loss: 0.0140 +2025-07-02 10:28:44,556 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 10:29:00,310 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:29:16,183 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:14, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 10:29:32,072 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:57, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 10:29:45,072 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 10:30:08,510 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:30:08,521 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9978 +2025-07-02 10:30:08,521 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9615, top5_acc: 0.9978 +2025-07-02 10:30:46,383 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:28, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:31:02,033 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 10:31:17,693 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 10:31:33,346 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:31:49,053 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 10:32:04,902 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:24:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0190, loss: 0.0190 +2025-07-02 10:32:20,796 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:50, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 10:32:36,494 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 10:32:52,139 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 10:33:07,810 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:23:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0168, loss: 0.0168 +2025-07-02 10:33:23,659 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0165, loss: 0.0165 +2025-07-02 10:33:36,497 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 10:33:59,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:33:59,619 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9978 +2025-07-02 10:33:59,619 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9615, top5_acc: 0.9978 +2025-07-02 10:34:37,338 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:15, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0227, loss: 0.0227 +2025-07-02 10:34:53,107 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:35:08,850 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 10:35:24,567 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0163, loss: 0.0163 +2025-07-02 10:35:40,263 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 10:35:56,021 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0158, loss: 0.0158 +2025-07-02 10:36:11,767 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 10:36:27,584 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 10:36:43,409 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:20:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 10:36:59,200 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 10:37:14,761 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0152, loss: 0.0152 +2025-07-02 10:37:27,558 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 10:37:50,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:37:50,281 - pyskl - INFO - +top1_acc 0.9638 +top5_acc 0.9974 +2025-07-02 10:37:50,281 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9638, top5_acc: 0.9974 +2025-07-02 10:38:28,066 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:19:02, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 10:38:43,927 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:46, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:38:59,967 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:29, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:39:16,201 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:13, time: 0.162, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:39:31,995 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:39:47,787 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 10:40:03,679 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:40:19,509 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 10:40:35,212 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 10:40:50,989 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:41:06,825 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0116, loss: 0.0116 +2025-07-02 10:41:19,660 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 10:41:42,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:41:42,785 - pyskl - INFO - +top1_acc 0.9652 +top5_acc 0.9970 +2025-07-02 10:41:42,785 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9652, top5_acc: 0.9970 +2025-07-02 10:42:20,696 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:49, time: 0.379, data_time: 0.216, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0189, loss: 0.0189 +2025-07-02 10:42:36,481 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 10:42:52,151 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 0.0130, loss: 0.0130 +2025-07-02 10:43:07,699 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:15:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 10:43:23,271 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 10:43:38,826 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 10:43:54,323 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0247, loss: 0.0247 +2025-07-02 10:44:09,801 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 10:44:25,287 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0126, loss: 0.0126 +2025-07-02 10:44:40,803 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:44:56,407 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0166, loss: 0.0166 +2025-07-02 10:45:09,221 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 10:45:32,190 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:45:32,200 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9978 +2025-07-02 10:45:32,200 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9630, top5_acc: 0.9978 +2025-07-02 10:46:09,947 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:36, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 10:46:25,825 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:20, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0180, loss: 0.0180 +2025-07-02 10:46:41,589 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:12:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0227, loss: 0.0227 +2025-07-02 10:46:57,275 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 10:47:13,036 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:47:28,789 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0176, loss: 0.0176 +2025-07-02 10:47:44,564 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0173, loss: 0.0173 +2025-07-02 10:48:00,274 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:48:15,960 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:48:31,676 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 10:48:47,314 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 10:49:00,174 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 10:49:23,475 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:49:23,485 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9978 +2025-07-02 10:49:23,486 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9619, top5_acc: 0.9978 +2025-07-02 10:50:01,648 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:23, time: 0.382, data_time: 0.222, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 10:50:17,270 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0171, loss: 0.0171 +2025-07-02 10:50:32,904 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 10:50:48,546 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:51:04,379 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:51:20,340 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:08:01, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 10:51:36,227 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:44, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 10:51:52,022 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:52:07,837 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 10:52:23,610 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 10:52:39,323 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0164, loss: 0.0164 +2025-07-02 10:52:52,161 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 10:53:15,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:53:15,622 - pyskl - INFO - +top1_acc 0.9608 +top5_acc 0.9970 +2025-07-02 10:53:15,623 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9608, top5_acc: 0.9970 +2025-07-02 10:53:53,889 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:10, time: 0.383, data_time: 0.222, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:54:09,585 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 10:54:25,261 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 10:54:40,872 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 10:54:56,552 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 10:55:12,233 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 10:55:27,911 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0190, loss: 0.0190 +2025-07-02 10:55:43,572 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 10:55:59,248 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:56:14,916 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 10:56:30,601 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0152, loss: 0.0152 +2025-07-02 10:56:43,539 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 10:57:07,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:57:07,335 - pyskl - INFO - +top1_acc 0.9649 +top5_acc 0.9978 +2025-07-02 10:57:07,335 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9649, top5_acc: 0.9978 +2025-07-02 10:57:44,941 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:56, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:58:00,652 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 10:58:16,296 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 10:58:31,894 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0165, loss: 0.0165 +2025-07-02 10:58:47,618 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 10:59:03,306 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0147, loss: 0.0147 +2025-07-02 10:59:19,368 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:18, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:59:35,200 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:59:50,843 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 11:00:06,458 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 11:00:22,106 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9975, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 11:00:35,117 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 11:00:57,544 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:00:57,554 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9982 +2025-07-02 11:00:57,554 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9601, top5_acc: 0.9982 +2025-07-02 11:01:04,291 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 11:02:30,012 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 11:02:30,012 - pyskl - INFO - top1_acc: 0.9608 +2025-07-02 11:02:30,012 - pyskl - INFO - top5_acc: 0.9978 +2025-07-02 11:02:30,013 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/b_2/best_top1_acc_epoch_137.pth +2025-07-02 11:03:55,369 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 11:03:55,370 - pyskl - INFO - top1_acc: 0.9652 +2025-07-02 11:03:55,370 - pyskl - INFO - top5_acc: 0.9982 diff --git a/pku_mmd_xsub/b_2/20250702_012904.log.json b/pku_mmd_xsub/b_2/20250702_012904.log.json new file mode 100644 index 0000000000000000000000000000000000000000..008b8de041d6f82ce08e0476ef2ecd1bdb0793c5 --- /dev/null +++ b/pku_mmd_xsub/b_2/20250702_012904.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare 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"top5_acc": 1.0, "loss_cls": 0.022, "loss": 0.022, "time": 0.1596} +{"mode": "train", "epoch": 148, "iter": 700, "lr": 2e-05, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.0177, "loss": 0.0177, "time": 0.15886} +{"mode": "train", "epoch": 148, "iter": 800, "lr": 1e-05, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.01982, "loss": 0.01982, "time": 0.15794} +{"mode": "train", "epoch": 148, "iter": 900, "lr": 1e-05, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99438, "top5_acc": 0.99812, "loss_cls": 0.02739, "loss": 0.02739, "time": 0.15815} +{"mode": "train", "epoch": 148, "iter": 1000, "lr": 1e-05, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.995, "top5_acc": 0.99875, "loss_cls": 0.03055, "loss": 0.03055, "time": 0.15773} +{"mode": "train", "epoch": 148, "iter": 1100, "lr": 1e-05, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.9975, "top5_acc": 0.99938, "loss_cls": 0.01638, "loss": 0.01638, "time": 0.15713} +{"mode": "val", "epoch": 148, "iter": 169, "lr": 1e-05, "top1_acc": 0.9608, "top5_acc": 0.99704} +{"mode": "train", "epoch": 149, "iter": 100, "lr": 1e-05, "memory": 3566, "data_time": 0.22241, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.02362, "loss": 0.02362, "time": 0.38262} +{"mode": "train", "epoch": 149, "iter": 200, "lr": 1e-05, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.0235, "loss": 0.0235, "time": 0.15696} +{"mode": "train", "epoch": 149, "iter": 300, "lr": 1e-05, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02527, "loss": 0.02527, "time": 0.15675} +{"mode": "train", "epoch": 149, "iter": 400, "lr": 1e-05, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01784, "loss": 0.01784, "time": 0.1561} +{"mode": "train", "epoch": 149, "iter": 500, "lr": 1e-05, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99562, "top5_acc": 0.99938, "loss_cls": 0.02559, "loss": 0.02559, "time": 0.1568} +{"mode": "train", "epoch": 149, "iter": 600, "lr": 1e-05, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.01968, "loss": 0.01968, "time": 0.1568} +{"mode": "train", "epoch": 149, "iter": 700, "lr": 1e-05, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.01897, "loss": 0.01897, "time": 0.15678} +{"mode": "train", "epoch": 149, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02394, "loss": 0.02394, "time": 0.1566} +{"mode": "train", "epoch": 149, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99375, "top5_acc": 0.99812, "loss_cls": 0.03254, "loss": 0.03254, "time": 0.15675} +{"mode": "train", "epoch": 149, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02409, "loss": 0.02409, "time": 0.15667} +{"mode": "train", "epoch": 149, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99875, "top5_acc": 1.0, "loss_cls": 0.01524, "loss": 0.01524, "time": 0.15684} +{"mode": "val", "epoch": 149, "iter": 169, "lr": 0.0, "top1_acc": 0.96487, "top5_acc": 0.99778} +{"mode": "train", "epoch": 150, "iter": 100, "lr": 0.0, "memory": 3566, "data_time": 0.21568, "top1_acc": 0.99562, "top5_acc": 0.99875, "loss_cls": 0.02462, "loss": 0.02462, "time": 0.37601} +{"mode": "train", "epoch": 150, "iter": 200, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.02003, "loss": 0.02003, "time": 0.15707} +{"mode": "train", "epoch": 150, "iter": 300, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.01778, "loss": 0.01778, "time": 0.15644} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01652, "loss": 0.01652, "time": 0.15597} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99312, "top5_acc": 0.99938, "loss_cls": 0.03077, "loss": 0.03077, "time": 0.15724} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.01467, "loss": 0.01467, "time": 0.15687} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 3566, "data_time": 0.00023, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02361, "loss": 0.02361, "time": 0.16061} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02886, "loss": 0.02886, "time": 0.15831} +{"mode": "train", "epoch": 150, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.02496, "loss": 0.02496, "time": 0.15644} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99312, "top5_acc": 0.99938, "loss_cls": 0.03072, "loss": 0.03072, "time": 0.15614} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.995, "top5_acc": 0.9975, "loss_cls": 0.02111, "loss": 0.02111, "time": 0.15648} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.96006, "top5_acc": 0.99815} diff --git a/pku_mmd_xsub/b_2/b_2.py b/pku_mmd_xsub/b_2/b_2.py new file mode 100644 index 0000000000000000000000000000000000000000..9bffaaf3931aa056bf9f669965d5e04053e90f23 --- /dev/null +++ b/pku_mmd_xsub/b_2/b_2.py @@ -0,0 +1,98 @@ +modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/b_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/b_2/best_pred.pkl b/pku_mmd_xsub/b_2/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..bf2cd3567fc4695d1862dc9be10893ad495533d7 --- /dev/null +++ b/pku_mmd_xsub/b_2/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:27fd653ae282f9c1f119beb0d2972ac7ecef64985279484f122b58bfc06eb4a3 +size 954783 diff --git a/pku_mmd_xsub/b_2/best_top1_acc_epoch_137.pth b/pku_mmd_xsub/b_2/best_top1_acc_epoch_137.pth new file mode 100644 index 0000000000000000000000000000000000000000..276d0781a6b09efbea494dc0d59589d1f330c40a --- /dev/null +++ b/pku_mmd_xsub/b_2/best_top1_acc_epoch_137.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1ab7c58bcb72226548d105511d2040e0c0d923e330da7da5fcb4207388888126 +size 32917041 diff --git a/pku_mmd_xsub/b_3/20250702_012939.log b/pku_mmd_xsub/b_3/20250702_012939.log new file mode 100644 index 0000000000000000000000000000000000000000..ea1e7a17c376d3720656935e1cc36aa01bb8e1f1 --- /dev/null +++ b/pku_mmd_xsub/b_3/20250702_012939.log @@ -0,0 +1,2841 @@ +2025-07-02 01:29:39,561 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 01:29:39,853 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/b_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 01:29:39,854 - pyskl - INFO - Set random seed to 516129842, deterministic: False +2025-07-02 01:29:43,605 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 01:29:50,145 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 01:29:50,150 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3 +2025-07-02 01:29:50,150 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 01:29:50,150 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 01:29:50,150 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3 by HardDiskBackend. +2025-07-02 01:30:26,260 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:42:43, time: 0.361, data_time: 0.203, memory: 3565, top1_acc: 0.0481, top5_acc: 0.2175, loss_cls: 4.2965, loss: 4.2965 +2025-07-02 01:30:41,370 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:33:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.1212, top5_acc: 0.3494, loss_cls: 3.9990, loss: 3.9990 +2025-07-02 01:30:56,568 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:50:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1713, top5_acc: 0.5038, loss_cls: 3.5428, loss: 3.5428 +2025-07-02 01:31:11,758 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:59:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.2256, top5_acc: 0.6075, loss_cls: 3.1738, loss: 3.1738 +2025-07-02 01:31:26,921 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:28:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.2625, top5_acc: 0.6713, loss_cls: 2.9099, loss: 2.9099 +2025-07-02 01:31:41,923 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:06:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.3181, top5_acc: 0.7169, loss_cls: 2.7980, loss: 2.7980 +2025-07-02 01:31:56,973 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:51:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.3656, top5_acc: 0.7706, loss_cls: 2.5688, loss: 2.5688 +2025-07-02 01:32:12,081 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:40:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3787, top5_acc: 0.8087, loss_cls: 2.4340, loss: 2.4340 +2025-07-02 01:32:27,369 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:31:48, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.4400, top5_acc: 0.8244, loss_cls: 2.3040, loss: 2.3040 +2025-07-02 01:32:42,637 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:25:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.4437, top5_acc: 0.8525, loss_cls: 2.2325, loss: 2.2325 +2025-07-02 01:32:57,704 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:18:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4763, top5_acc: 0.8806, loss_cls: 2.1109, loss: 2.1109 +2025-07-02 01:33:10,234 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 01:33:32,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:33:32,860 - pyskl - INFO - +top1_acc 0.5022 +top5_acc 0.9161 +2025-07-02 01:33:32,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 01:33:32,993 - pyskl - INFO - Best top1_acc is 0.5022 at 1 epoch. +2025-07-02 01:33:32,994 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5022, top5_acc: 0.9161 +2025-07-02 01:34:08,788 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:30:55, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.4981, top5_acc: 0.8781, loss_cls: 2.0243, loss: 2.0243 +2025-07-02 01:34:24,096 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:26:02, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.5437, top5_acc: 0.8981, loss_cls: 1.9033, loss: 1.9033 +2025-07-02 01:34:39,442 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:21:51, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.5475, top5_acc: 0.9100, loss_cls: 1.8470, loss: 1.8470 +2025-07-02 01:34:54,519 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:17:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5369, top5_acc: 0.9100, loss_cls: 1.8245, loss: 1.8245 +2025-07-02 01:35:09,643 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:14:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5813, top5_acc: 0.9206, loss_cls: 1.7581, loss: 1.7581 +2025-07-02 01:35:24,796 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:10:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5844, top5_acc: 0.9231, loss_cls: 1.7070, loss: 1.7070 +2025-07-02 01:35:40,017 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:08:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6144, top5_acc: 0.9219, loss_cls: 1.6497, loss: 1.6497 +2025-07-02 01:35:55,368 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:05:41, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.5981, top5_acc: 0.9237, loss_cls: 1.6731, loss: 1.6731 +2025-07-02 01:36:10,642 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:03:27, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6281, top5_acc: 0.9363, loss_cls: 1.5832, loss: 1.5832 +2025-07-02 01:36:25,725 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 8:01:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6444, top5_acc: 0.9337, loss_cls: 1.5865, loss: 1.5865 +2025-07-02 01:36:40,739 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:58:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6406, top5_acc: 0.9456, loss_cls: 1.5257, loss: 1.5257 +2025-07-02 01:36:53,042 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 01:37:15,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:37:15,853 - pyskl - INFO - +top1_acc 0.6468 +top5_acc 0.9589 +2025-07-02 01:37:15,856 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_1.pth was removed +2025-07-02 01:37:15,967 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 01:37:15,968 - pyskl - INFO - Best top1_acc is 0.6468 at 2 epoch. +2025-07-02 01:37:15,968 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.6468, top5_acc: 0.9589 +2025-07-02 01:37:52,466 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:06:53, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.6763, top5_acc: 0.9506, loss_cls: 1.4225, loss: 1.4225 +2025-07-02 01:38:07,510 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:04:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6600, top5_acc: 0.9537, loss_cls: 1.4042, loss: 1.4042 +2025-07-02 01:38:22,660 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:02:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6719, top5_acc: 0.9413, loss_cls: 1.4542, loss: 1.4542 +2025-07-02 01:38:37,770 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 8:00:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6919, top5_acc: 0.9487, loss_cls: 1.3879, loss: 1.3879 +2025-07-02 01:38:52,934 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:59:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7087, top5_acc: 0.9519, loss_cls: 1.3441, loss: 1.3441 +2025-07-02 01:39:08,035 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:57:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6944, top5_acc: 0.9456, loss_cls: 1.3528, loss: 1.3528 +2025-07-02 01:39:23,148 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:55:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7125, top5_acc: 0.9450, loss_cls: 1.3387, loss: 1.3387 +2025-07-02 01:39:38,309 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:54:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6944, top5_acc: 0.9537, loss_cls: 1.3231, loss: 1.3231 +2025-07-02 01:39:53,580 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:53:06, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7056, top5_acc: 0.9519, loss_cls: 1.3138, loss: 1.3138 +2025-07-02 01:40:08,921 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:51:56, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7375, top5_acc: 0.9525, loss_cls: 1.2620, loss: 1.2620 +2025-07-02 01:40:24,170 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:50:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7025, top5_acc: 0.9556, loss_cls: 1.2874, loss: 1.2874 +2025-07-02 01:40:36,544 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 01:40:59,228 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:40:59,238 - pyskl - INFO - +top1_acc 0.7004 +top5_acc 0.9686 +2025-07-02 01:40:59,242 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_2.pth was removed +2025-07-02 01:40:59,363 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 01:40:59,364 - pyskl - INFO - Best top1_acc is 0.7004 at 3 epoch. +2025-07-02 01:40:59,364 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7004, top5_acc: 0.9686 +2025-07-02 01:41:35,593 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:56:00, time: 0.362, data_time: 0.210, memory: 3565, top1_acc: 0.7281, top5_acc: 0.9625, loss_cls: 1.2175, loss: 1.2175 +2025-07-02 01:41:50,752 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:54:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7212, top5_acc: 0.9675, loss_cls: 1.2063, loss: 1.2063 +2025-07-02 01:42:06,114 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:53:35, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7369, top5_acc: 0.9675, loss_cls: 1.2000, loss: 1.2000 +2025-07-02 01:42:21,423 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:52:29, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7512, top5_acc: 0.9681, loss_cls: 1.1349, loss: 1.1349 +2025-07-02 01:42:36,602 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:51:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7612, top5_acc: 0.9681, loss_cls: 1.1542, loss: 1.1542 +2025-07-02 01:42:51,743 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:50:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7481, top5_acc: 0.9506, loss_cls: 1.2275, loss: 1.2275 +2025-07-02 01:43:06,732 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:49:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7544, top5_acc: 0.9631, loss_cls: 1.1525, loss: 1.1525 +2025-07-02 01:43:21,829 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:47:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7700, top5_acc: 0.9569, loss_cls: 1.1385, loss: 1.1385 +2025-07-02 01:43:36,979 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:46:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9631, loss_cls: 1.1188, loss: 1.1188 +2025-07-02 01:43:52,135 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:45:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7506, top5_acc: 0.9656, loss_cls: 1.1221, loss: 1.1221 +2025-07-02 01:44:07,364 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:45:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7525, top5_acc: 0.9650, loss_cls: 1.1412, loss: 1.1412 +2025-07-02 01:44:19,837 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 01:44:42,694 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:44:42,704 - pyskl - INFO - +top1_acc 0.7607 +top5_acc 0.9830 +2025-07-02 01:44:42,708 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_3.pth was removed +2025-07-02 01:44:42,831 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 01:44:42,832 - pyskl - INFO - Best top1_acc is 0.7607 at 4 epoch. +2025-07-02 01:44:42,833 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7607, top5_acc: 0.9830 +2025-07-02 01:45:19,941 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:49:28, time: 0.371, data_time: 0.218, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9688, loss_cls: 1.0635, loss: 1.0635 +2025-07-02 01:45:35,229 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:48:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7831, top5_acc: 0.9712, loss_cls: 1.0176, loss: 1.0176 +2025-07-02 01:45:50,494 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:47:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7794, top5_acc: 0.9669, loss_cls: 1.0587, loss: 1.0587 +2025-07-02 01:46:05,685 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:46:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9769, loss_cls: 1.0049, loss: 1.0049 +2025-07-02 01:46:20,856 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:45:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7681, top5_acc: 0.9544, loss_cls: 1.1087, loss: 1.1087 +2025-07-02 01:46:36,026 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:44:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7819, top5_acc: 0.9631, loss_cls: 1.0275, loss: 1.0275 +2025-07-02 01:46:51,258 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:44:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9725, loss_cls: 1.0316, loss: 1.0316 +2025-07-02 01:47:06,550 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:43:21, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7669, top5_acc: 0.9663, loss_cls: 1.0727, loss: 1.0727 +2025-07-02 01:47:21,794 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:42:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9669, loss_cls: 1.0132, loss: 1.0132 +2025-07-02 01:47:37,339 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:41:58, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9706, loss_cls: 1.0480, loss: 1.0480 +2025-07-02 01:47:52,696 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:41:17, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9669, loss_cls: 1.0219, loss: 1.0219 +2025-07-02 01:48:05,177 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 01:48:28,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:48:28,609 - pyskl - INFO - +top1_acc 0.8199 +top5_acc 0.9871 +2025-07-02 01:48:28,612 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_4.pth was removed +2025-07-02 01:48:28,731 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 01:48:28,732 - pyskl - INFO - Best top1_acc is 0.8199 at 5 epoch. +2025-07-02 01:48:28,733 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.8199, top5_acc: 0.9871 +2025-07-02 01:49:05,261 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:44:27, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.7987, top5_acc: 0.9738, loss_cls: 0.9603, loss: 0.9603 +2025-07-02 01:49:20,391 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:43:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9700, loss_cls: 0.9770, loss: 0.9770 +2025-07-02 01:49:35,696 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:42:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9675, loss_cls: 0.9718, loss: 0.9718 +2025-07-02 01:49:50,988 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:42:10, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 0.9528, loss: 0.9528 +2025-07-02 01:50:06,193 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:41:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9700, loss_cls: 0.9722, loss: 0.9722 +2025-07-02 01:50:21,454 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:40:43, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7856, top5_acc: 0.9812, loss_cls: 0.9895, loss: 0.9895 +2025-07-02 01:50:36,795 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:40:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9688, loss_cls: 0.9339, loss: 0.9339 +2025-07-02 01:50:52,026 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:39:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9712, loss_cls: 1.0059, loss: 1.0059 +2025-07-02 01:51:07,127 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:38:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9700, loss_cls: 0.9796, loss: 0.9796 +2025-07-02 01:51:22,154 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:37:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8063, top5_acc: 0.9669, loss_cls: 0.9320, loss: 0.9320 +2025-07-02 01:51:37,201 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:37:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9725, loss_cls: 0.8966, loss: 0.8966 +2025-07-02 01:51:49,568 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 01:52:13,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:52:13,197 - pyskl - INFO - +top1_acc 0.8077 +top5_acc 0.9867 +2025-07-02 01:52:13,198 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.8077, top5_acc: 0.9867 +2025-07-02 01:52:50,240 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:39:56, time: 0.370, data_time: 0.218, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9794, loss_cls: 0.9119, loss: 0.9119 +2025-07-02 01:53:05,438 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:39:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9744, loss_cls: 0.9088, loss: 0.9088 +2025-07-02 01:53:20,686 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:38:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8069, top5_acc: 0.9800, loss_cls: 0.8902, loss: 0.8902 +2025-07-02 01:53:36,074 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:37:59, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 0.8459, loss: 0.8459 +2025-07-02 01:53:51,359 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:37:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8125, top5_acc: 0.9656, loss_cls: 0.9821, loss: 0.9821 +2025-07-02 01:54:06,613 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:36:44, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9669, loss_cls: 0.9223, loss: 0.9223 +2025-07-02 01:54:21,817 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:36:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9831, loss_cls: 0.8597, loss: 0.8597 +2025-07-02 01:54:37,123 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:35:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9806, loss_cls: 0.9179, loss: 0.9179 +2025-07-02 01:54:52,370 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:34:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9738, loss_cls: 0.9455, loss: 0.9455 +2025-07-02 01:55:07,661 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:34:20, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9694, loss_cls: 0.9249, loss: 0.9249 +2025-07-02 01:55:22,852 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:33:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8244, top5_acc: 0.9762, loss_cls: 0.8598, loss: 0.8598 +2025-07-02 01:55:35,278 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 01:55:58,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:55:58,426 - pyskl - INFO - +top1_acc 0.7929 +top5_acc 0.9841 +2025-07-02 01:55:58,426 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.7929, top5_acc: 0.9841 +2025-07-02 01:56:35,087 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:35:54, time: 0.367, data_time: 0.214, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9800, loss_cls: 0.8688, loss: 0.8688 +2025-07-02 01:56:50,391 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:35:19, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9781, loss_cls: 0.8558, loss: 0.8558 +2025-07-02 01:57:05,586 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:34:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9781, loss_cls: 0.8594, loss: 0.8594 +2025-07-02 01:57:20,808 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:34:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9775, loss_cls: 0.8565, loss: 0.8565 +2025-07-02 01:57:36,022 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:33:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9725, loss_cls: 0.8832, loss: 0.8832 +2025-07-02 01:57:51,233 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:32:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 0.7864, loss: 0.7864 +2025-07-02 01:58:06,441 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:32:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 0.8089, loss: 0.8089 +2025-07-02 01:58:21,628 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:31:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9706, loss_cls: 0.8854, loss: 0.8854 +2025-07-02 01:58:36,889 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:31:14, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 0.8247, loss: 0.8247 +2025-07-02 01:58:52,120 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:30:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9731, loss_cls: 0.9010, loss: 0.9010 +2025-07-02 01:59:07,207 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:30:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 0.7892, loss: 0.7892 +2025-07-02 01:59:19,538 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 01:59:42,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:59:42,440 - pyskl - INFO - +top1_acc 0.8362 +top5_acc 0.9859 +2025-07-02 01:59:42,444 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_5.pth was removed +2025-07-02 01:59:42,561 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 01:59:42,562 - pyskl - INFO - Best top1_acc is 0.8362 at 8 epoch. +2025-07-02 01:59:42,563 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8362, top5_acc: 0.9859 +2025-07-02 02:00:19,374 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:31:59, time: 0.368, data_time: 0.216, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9800, loss_cls: 0.7954, loss: 0.7954 +2025-07-02 02:00:34,533 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:31:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9700, loss_cls: 0.8380, loss: 0.8380 +2025-07-02 02:00:49,781 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:30:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.8209, loss: 0.8209 +2025-07-02 02:01:04,885 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:30:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9812, loss_cls: 0.8037, loss: 0.8037 +2025-07-02 02:01:19,988 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:29:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 0.7517, loss: 0.7517 +2025-07-02 02:01:35,123 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:29:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 0.8054, loss: 0.8054 +2025-07-02 02:01:50,260 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:28:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9819, loss_cls: 0.7880, loss: 0.7880 +2025-07-02 02:02:05,773 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:28:09, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9762, loss_cls: 0.7951, loss: 0.7951 +2025-07-02 02:02:20,851 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:27:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9794, loss_cls: 0.7700, loss: 0.7700 +2025-07-02 02:02:36,064 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:27:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9819, loss_cls: 0.8341, loss: 0.8341 +2025-07-02 02:02:51,314 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:26:34, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 0.8082, loss: 0.8082 +2025-07-02 02:03:03,679 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 02:03:26,529 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:03:26,539 - pyskl - INFO - +top1_acc 0.8410 +top5_acc 0.9878 +2025-07-02 02:03:26,543 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_8.pth was removed +2025-07-02 02:03:26,787 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 02:03:26,788 - pyskl - INFO - Best top1_acc is 0.8410 at 9 epoch. +2025-07-02 02:03:26,789 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8410, top5_acc: 0.9878 +2025-07-02 02:04:03,708 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:28:13, time: 0.369, data_time: 0.217, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9788, loss_cls: 0.7326, loss: 0.7326 +2025-07-02 02:04:19,072 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:27:44, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 0.7819, loss: 0.7819 +2025-07-02 02:04:34,269 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:27:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9819, loss_cls: 0.7571, loss: 0.7571 +2025-07-02 02:04:49,444 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:26:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 0.7264, loss: 0.7264 +2025-07-02 02:05:04,600 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:26:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9881, loss_cls: 0.7068, loss: 0.7068 +2025-07-02 02:05:19,799 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:25:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9838, loss_cls: 0.7551, loss: 0.7551 +2025-07-02 02:05:34,932 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:25:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 0.7423, loss: 0.7423 +2025-07-02 02:05:50,132 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:24:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9775, loss_cls: 0.8299, loss: 0.8299 +2025-07-02 02:06:05,250 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:24:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 0.7748, loss: 0.7748 +2025-07-02 02:06:20,458 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:23:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 0.7582, loss: 0.7582 +2025-07-02 02:06:35,681 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:23:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9750, loss_cls: 0.7650, loss: 0.7650 +2025-07-02 02:06:48,145 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 02:07:11,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:07:11,103 - pyskl - INFO - +top1_acc 0.8591 +top5_acc 0.9893 +2025-07-02 02:07:11,107 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_9.pth was removed +2025-07-02 02:07:11,219 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 02:07:11,220 - pyskl - INFO - Best top1_acc is 0.8591 at 10 epoch. +2025-07-02 02:07:11,221 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8591, top5_acc: 0.9893 +2025-07-02 02:07:48,034 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:24:33, time: 0.368, data_time: 0.214, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9769, loss_cls: 0.7508, loss: 0.7508 +2025-07-02 02:08:03,253 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:24:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9900, loss_cls: 0.6665, loss: 0.6665 +2025-07-02 02:08:18,423 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:23:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 0.7085, loss: 0.7085 +2025-07-02 02:08:33,628 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:23:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 0.7083, loss: 0.7083 +2025-07-02 02:08:48,798 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:22:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 0.7613, loss: 0.7613 +2025-07-02 02:09:03,793 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:22:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 0.7403, loss: 0.7403 +2025-07-02 02:09:18,869 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:21:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9869, loss_cls: 0.7197, loss: 0.7197 +2025-07-02 02:09:34,010 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:21:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 0.7114, loss: 0.7114 +2025-07-02 02:09:49,119 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:20:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.7626, loss: 0.7626 +2025-07-02 02:10:04,270 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:20:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9825, loss_cls: 0.7335, loss: 0.7335 +2025-07-02 02:10:19,431 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:19:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9806, loss_cls: 0.6931, loss: 0.6931 +2025-07-02 02:10:31,818 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 02:10:54,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:10:54,706 - pyskl - INFO - +top1_acc 0.8476 +top5_acc 0.9867 +2025-07-02 02:10:54,706 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8476, top5_acc: 0.9867 +2025-07-02 02:11:31,167 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:20:48, time: 0.365, data_time: 0.212, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 0.6609, loss: 0.6609 +2025-07-02 02:11:46,401 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:20:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.7175, loss: 0.7175 +2025-07-02 02:12:01,693 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:19:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 0.7443, loss: 0.7443 +2025-07-02 02:12:16,744 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:19:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.7183, loss: 0.7183 +2025-07-02 02:12:31,859 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:18:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9788, loss_cls: 0.6731, loss: 0.6731 +2025-07-02 02:12:46,996 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:18:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 0.7220, loss: 0.7220 +2025-07-02 02:13:02,177 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:18:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 0.6587, loss: 0.6587 +2025-07-02 02:13:17,295 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:17:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 0.7252, loss: 0.7252 +2025-07-02 02:13:32,446 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:17:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.6616, loss: 0.6616 +2025-07-02 02:13:47,655 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:16:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9850, loss_cls: 0.6757, loss: 0.6757 +2025-07-02 02:14:02,843 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:16:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 0.7382, loss: 0.7382 +2025-07-02 02:14:15,175 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 02:14:37,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:14:37,844 - pyskl - INFO - +top1_acc 0.8458 +top5_acc 0.9904 +2025-07-02 02:14:37,845 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8458, top5_acc: 0.9904 +2025-07-02 02:15:13,897 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:17:07, time: 0.360, data_time: 0.206, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6517, loss: 0.6517 +2025-07-02 02:15:29,201 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:16:41, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9856, loss_cls: 0.6926, loss: 0.6926 +2025-07-02 02:15:44,409 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:16:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9856, loss_cls: 0.6815, loss: 0.6815 +2025-07-02 02:15:59,382 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:15:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 0.6224, loss: 0.6224 +2025-07-02 02:16:14,434 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:15:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 0.6640, loss: 0.6640 +2025-07-02 02:16:29,565 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:14:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 0.6520, loss: 0.6520 +2025-07-02 02:16:44,603 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:14:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.6822, loss: 0.6822 +2025-07-02 02:16:59,719 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:13:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 0.6729, loss: 0.6729 +2025-07-02 02:17:14,787 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:13:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 0.6482, loss: 0.6482 +2025-07-02 02:17:30,003 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:13:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9750, loss_cls: 0.7324, loss: 0.7324 +2025-07-02 02:17:45,337 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:12:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9869, loss_cls: 0.7118, loss: 0.7118 +2025-07-02 02:17:57,668 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 02:18:20,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:18:20,195 - pyskl - INFO - +top1_acc 0.8572 +top5_acc 0.9915 +2025-07-02 02:18:20,195 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8572, top5_acc: 0.9915 +2025-07-02 02:18:55,907 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:13:25, time: 0.357, data_time: 0.205, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6433, loss: 0.6433 +2025-07-02 02:19:10,921 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:12:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9850, loss_cls: 0.6856, loss: 0.6856 +2025-07-02 02:19:26,036 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:12:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9812, loss_cls: 0.6428, loss: 0.6428 +2025-07-02 02:19:41,138 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:12:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 0.6391, loss: 0.6391 +2025-07-02 02:19:56,255 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:11:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 0.6681, loss: 0.6681 +2025-07-02 02:20:11,376 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:11:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 0.6848, loss: 0.6848 +2025-07-02 02:20:26,574 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:10:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 0.6429, loss: 0.6429 +2025-07-02 02:20:41,805 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:10:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 0.7059, loss: 0.7059 +2025-07-02 02:20:56,987 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:09:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9850, loss_cls: 0.6980, loss: 0.6980 +2025-07-02 02:21:12,595 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:09:37, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 0.7129, loss: 0.7129 +2025-07-02 02:21:27,856 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:09:13, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9794, loss_cls: 0.6624, loss: 0.6624 +2025-07-02 02:21:40,232 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 02:22:02,900 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:22:02,910 - pyskl - INFO - +top1_acc 0.8639 +top5_acc 0.9856 +2025-07-02 02:22:02,914 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_10.pth was removed +2025-07-02 02:22:03,028 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2025-07-02 02:22:03,029 - pyskl - INFO - Best top1_acc is 0.8639 at 14 epoch. +2025-07-02 02:22:03,030 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8639, top5_acc: 0.9856 +2025-07-02 02:22:38,562 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:09:51, time: 0.355, data_time: 0.202, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 0.6777, loss: 0.6777 +2025-07-02 02:22:53,863 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:09:27, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9825, loss_cls: 0.6281, loss: 0.6281 +2025-07-02 02:23:09,119 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:09:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 0.6020, loss: 0.6020 +2025-07-02 02:23:24,182 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:08:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9812, loss_cls: 0.6678, loss: 0.6678 +2025-07-02 02:23:39,209 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:08:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 0.6376, loss: 0.6376 +2025-07-02 02:23:54,375 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:07:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.6108, loss: 0.6108 +2025-07-02 02:24:09,634 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:07:23, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 0.6308, loss: 0.6308 +2025-07-02 02:24:24,771 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:06:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 0.6747, loss: 0.6747 +2025-07-02 02:24:40,114 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:06:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 0.6879, loss: 0.6879 +2025-07-02 02:24:55,294 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:06:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.6132, loss: 0.6132 +2025-07-02 02:25:10,467 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:05:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 0.6605, loss: 0.6605 +2025-07-02 02:25:22,855 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 02:25:45,820 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:25:45,830 - pyskl - INFO - +top1_acc 0.8598 +top5_acc 0.9830 +2025-07-02 02:25:45,830 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8598, top5_acc: 0.9830 +2025-07-02 02:26:21,681 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:06:23, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 0.6077, loss: 0.6077 +2025-07-02 02:26:36,754 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:05:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9906, loss_cls: 0.6007, loss: 0.6007 +2025-07-02 02:26:51,964 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:05:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 0.6505, loss: 0.6505 +2025-07-02 02:27:07,185 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:05:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9788, loss_cls: 0.6559, loss: 0.6559 +2025-07-02 02:27:22,384 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:04:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9825, loss_cls: 0.6481, loss: 0.6481 +2025-07-02 02:27:37,675 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:04:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 0.6966, loss: 0.6966 +2025-07-02 02:27:52,872 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:04:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6001, loss: 0.6001 +2025-07-02 02:28:07,929 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:03:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.6364, loss: 0.6364 +2025-07-02 02:28:23,102 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:03:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 02:28:38,194 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 7:02:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 0.6246, loss: 0.6246 +2025-07-02 02:28:53,478 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 7:02:25, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.5999, loss: 0.5999 +2025-07-02 02:29:06,097 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 02:29:28,958 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:29:28,968 - pyskl - INFO - +top1_acc 0.8820 +top5_acc 0.9937 +2025-07-02 02:29:28,971 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_14.pth was removed +2025-07-02 02:29:29,092 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-07-02 02:29:29,093 - pyskl - INFO - Best top1_acc is 0.8820 at 16 epoch. +2025-07-02 02:29:29,094 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8820, top5_acc: 0.9937 +2025-07-02 02:30:04,758 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:02:56, time: 0.357, data_time: 0.203, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 02:30:20,066 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 7:02:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.5979, loss: 0.5979 +2025-07-02 02:30:35,408 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 7:02:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 0.6638, loss: 0.6638 +2025-07-02 02:30:50,695 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 7:01:48, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5495, loss: 0.5495 +2025-07-02 02:31:05,967 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 7:01:26, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 0.6485, loss: 0.6485 +2025-07-02 02:31:21,152 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 7:01:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 0.5884, loss: 0.5884 +2025-07-02 02:31:36,374 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 7:00:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 0.6352, loss: 0.6352 +2025-07-02 02:31:51,644 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 7:00:17, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5710, loss: 0.5710 +2025-07-02 02:32:07,042 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:59:56, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6571, loss: 0.6571 +2025-07-02 02:32:22,608 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:59:36, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6156, loss: 0.6156 +2025-07-02 02:32:37,819 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:59:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9875, loss_cls: 0.6042, loss: 0.6042 +2025-07-02 02:32:50,100 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 02:33:12,866 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:33:12,876 - pyskl - INFO - +top1_acc 0.8591 +top5_acc 0.9874 +2025-07-02 02:33:12,876 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8591, top5_acc: 0.9874 +2025-07-02 02:33:48,438 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:59:39, time: 0.356, data_time: 0.203, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.6032, loss: 0.6032 +2025-07-02 02:34:03,587 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:59:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9838, loss_cls: 0.5997, loss: 0.5997 +2025-07-02 02:34:18,782 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:58:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9888, loss_cls: 0.6199, loss: 0.6199 +2025-07-02 02:34:33,951 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:58:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9875, loss_cls: 0.6198, loss: 0.6198 +2025-07-02 02:34:49,030 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:58:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 02:35:04,149 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:57:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 0.6649, loss: 0.6649 +2025-07-02 02:35:19,304 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:57:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.5962, loss: 0.5962 +2025-07-02 02:35:34,423 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:56:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 02:35:49,466 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:56:34, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9838, loss_cls: 0.5634, loss: 0.5634 +2025-07-02 02:36:04,530 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:56:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6010, loss: 0.6010 +2025-07-02 02:36:19,685 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:55:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6209, loss: 0.6209 +2025-07-02 02:36:32,040 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 02:36:54,928 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:36:54,939 - pyskl - INFO - +top1_acc 0.8203 +top5_acc 0.9841 +2025-07-02 02:36:54,939 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8203, top5_acc: 0.9841 +2025-07-02 02:37:30,446 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:56:10, time: 0.355, data_time: 0.203, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5566, loss: 0.5566 +2025-07-02 02:37:45,596 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:55:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5598, loss: 0.5598 +2025-07-02 02:38:00,792 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:55:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.5762, loss: 0.5762 +2025-07-02 02:38:16,044 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:55:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6178, loss: 0.6178 +2025-07-02 02:38:31,210 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:54:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.5787, loss: 0.5787 +2025-07-02 02:38:46,550 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:54:20, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9881, loss_cls: 0.6049, loss: 0.6049 +2025-07-02 02:39:01,818 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:53:58, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 02:39:17,150 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:53:37, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9825, loss_cls: 0.5842, loss: 0.5842 +2025-07-02 02:39:32,387 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:53:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 0.6891, loss: 0.6891 +2025-07-02 02:39:47,633 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:52:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 0.6312, loss: 0.6312 +2025-07-02 02:40:02,948 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:52:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6202, loss: 0.6202 +2025-07-02 02:40:15,370 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 02:40:37,980 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:40:37,990 - pyskl - INFO - +top1_acc 0.8680 +top5_acc 0.9904 +2025-07-02 02:40:37,991 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8680, top5_acc: 0.9904 +2025-07-02 02:41:13,574 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:52:53, time: 0.356, data_time: 0.204, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9912, loss_cls: 0.5881, loss: 0.5881 +2025-07-02 02:41:28,964 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:52:32, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5244, loss: 0.5244 +2025-07-02 02:41:44,253 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:52:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5729, loss: 0.5729 +2025-07-02 02:41:59,485 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:51:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.5870, loss: 0.5870 +2025-07-02 02:42:14,810 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:51:28, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5914, loss: 0.5914 +2025-07-02 02:42:30,028 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:51:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9831, loss_cls: 0.5685, loss: 0.5685 +2025-07-02 02:42:45,324 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:50:45, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9906, loss_cls: 0.5880, loss: 0.5880 +2025-07-02 02:43:00,628 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:50:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5662, loss: 0.5662 +2025-07-02 02:43:15,849 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:50:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9900, loss_cls: 0.5841, loss: 0.5841 +2025-07-02 02:43:31,262 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:49:43, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9875, loss_cls: 0.6290, loss: 0.6290 +2025-07-02 02:43:46,595 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:49:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9800, loss_cls: 0.6560, loss: 0.6560 +2025-07-02 02:43:59,015 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 02:44:21,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:44:21,577 - pyskl - INFO - +top1_acc 0.8584 +top5_acc 0.9841 +2025-07-02 02:44:21,578 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8584, top5_acc: 0.9841 +2025-07-02 02:44:57,297 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:49:40, time: 0.357, data_time: 0.204, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5392, loss: 0.5392 +2025-07-02 02:45:12,401 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:49:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5452, loss: 0.5452 +2025-07-02 02:45:27,470 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:48:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 0.5486, loss: 0.5486 +2025-07-02 02:45:42,548 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:48:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9794, loss_cls: 0.5854, loss: 0.5854 +2025-07-02 02:45:57,568 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:48:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 0.6094, loss: 0.6094 +2025-07-02 02:46:12,752 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:47:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6207, loss: 0.6207 +2025-07-02 02:46:28,048 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:47:28, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.5719, loss: 0.5719 +2025-07-02 02:46:43,275 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:47:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 0.6058, loss: 0.6058 +2025-07-02 02:46:58,483 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:46:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 0.5619, loss: 0.5619 +2025-07-02 02:47:13,672 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:46:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.5966, loss: 0.5966 +2025-07-02 02:47:29,138 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:46:05, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 0.6300, loss: 0.6300 +2025-07-02 02:47:41,789 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 02:48:04,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:48:04,763 - pyskl - INFO - +top1_acc 0.8746 +top5_acc 0.9852 +2025-07-02 02:48:04,763 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8746, top5_acc: 0.9852 +2025-07-02 02:48:40,945 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:46:24, time: 0.362, data_time: 0.210, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 02:48:56,065 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:46:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 0.5220, loss: 0.5220 +2025-07-02 02:49:11,254 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:45:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 02:49:26,396 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:45:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5797, loss: 0.5797 +2025-07-02 02:49:41,531 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:44:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 0.5597, loss: 0.5597 +2025-07-02 02:49:56,635 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:44:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 02:50:11,833 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:44:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5410, loss: 0.5410 +2025-07-02 02:50:26,971 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:43:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 0.5566, loss: 0.5566 +2025-07-02 02:50:42,157 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:43:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.5908, loss: 0.5908 +2025-07-02 02:50:57,449 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:43:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 0.5689, loss: 0.5689 +2025-07-02 02:51:12,742 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:42:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9850, loss_cls: 0.5781, loss: 0.5781 +2025-07-02 02:51:25,166 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 02:51:47,938 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:51:47,948 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9904 +2025-07-02 02:51:47,949 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8735, top5_acc: 0.9904 +2025-07-02 02:52:23,677 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:43:05, time: 0.357, data_time: 0.205, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9900, loss_cls: 0.5326, loss: 0.5326 +2025-07-02 02:52:38,898 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:42:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9938, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 02:52:54,206 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:42:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9056, top5_acc: 0.9875, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 02:53:09,407 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:42:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5532, loss: 0.5532 +2025-07-02 02:53:24,573 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:41:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.5646, loss: 0.5646 +2025-07-02 02:53:39,739 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:41:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.5935, loss: 0.5935 +2025-07-02 02:53:54,942 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:41:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5568, loss: 0.5568 +2025-07-02 02:54:10,132 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:40:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6123, loss: 0.6123 +2025-07-02 02:54:25,489 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:40:20, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9844, loss_cls: 0.5062, loss: 0.5062 +2025-07-02 02:54:40,850 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:40:00, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9812, loss_cls: 0.5722, loss: 0.5722 +2025-07-02 02:54:56,027 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:39:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.5803, loss: 0.5803 +2025-07-02 02:55:08,391 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 02:55:31,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:55:31,162 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9937 +2025-07-02 02:55:31,166 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_16.pth was removed +2025-07-02 02:55:31,276 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-02 02:55:31,276 - pyskl - INFO - Best top1_acc is 0.8828 at 23 epoch. +2025-07-02 02:55:31,277 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8828, top5_acc: 0.9937 +2025-07-02 02:56:07,076 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:39:51, time: 0.358, data_time: 0.206, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.5499, loss: 0.5499 +2025-07-02 02:56:22,240 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:39:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 0.5867, loss: 0.5867 +2025-07-02 02:56:37,297 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:39:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9925, loss_cls: 0.5125, loss: 0.5125 +2025-07-02 02:56:52,342 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:38:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4651, loss: 0.4651 +2025-07-02 02:57:07,381 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:38:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 0.5619, loss: 0.5619 +2025-07-02 02:57:22,580 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:38:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5445, loss: 0.5445 +2025-07-02 02:57:37,865 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:37:45, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5491, loss: 0.5491 +2025-07-02 02:57:53,062 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:37:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5522, loss: 0.5522 +2025-07-02 02:58:08,314 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:37:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 02:58:23,812 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:36:46, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 0.5531, loss: 0.5531 +2025-07-02 02:58:39,016 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:36:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.5639, loss: 0.5639 +2025-07-02 02:58:51,355 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 02:59:14,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:59:14,216 - pyskl - INFO - +top1_acc 0.8791 +top5_acc 0.9922 +2025-07-02 02:59:14,216 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8791, top5_acc: 0.9922 +2025-07-02 02:59:50,111 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:36:35, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9844, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 03:00:05,187 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:36:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 0.4928, loss: 0.4928 +2025-07-02 03:00:20,400 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:35:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5091, loss: 0.5091 +2025-07-02 03:00:35,575 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:35:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 0.5928, loss: 0.5928 +2025-07-02 03:00:50,639 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:35:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 0.5415, loss: 0.5415 +2025-07-02 03:01:05,809 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:34:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5094, loss: 0.5094 +2025-07-02 03:01:21,028 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:34:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.4949, loss: 0.4949 +2025-07-02 03:01:36,257 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:34:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9819, loss_cls: 0.5676, loss: 0.5676 +2025-07-02 03:01:51,411 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:33:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 0.5820, loss: 0.5820 +2025-07-02 03:02:06,592 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:33:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 03:02:21,797 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:33:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5680, loss: 0.5680 +2025-07-02 03:02:34,192 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 03:02:56,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:02:56,844 - pyskl - INFO - +top1_acc 0.8291 +top5_acc 0.9904 +2025-07-02 03:02:56,845 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8291, top5_acc: 0.9904 +2025-07-02 03:03:32,679 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:33:19, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5187, loss: 0.5187 +2025-07-02 03:03:47,765 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:32:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 0.5574, loss: 0.5574 +2025-07-02 03:04:02,908 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:32:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 0.5460, loss: 0.5460 +2025-07-02 03:04:18,117 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:32:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5161, loss: 0.5161 +2025-07-02 03:04:33,289 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:31:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5514, loss: 0.5514 +2025-07-02 03:04:48,512 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:31:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9919, loss_cls: 0.5266, loss: 0.5266 +2025-07-02 03:05:03,714 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:31:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9825, loss_cls: 0.5230, loss: 0.5230 +2025-07-02 03:05:18,875 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:30:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9950, loss_cls: 0.5135, loss: 0.5135 +2025-07-02 03:05:34,152 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:30:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.4838, loss: 0.4838 +2025-07-02 03:05:49,369 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:30:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5264, loss: 0.5264 +2025-07-02 03:06:04,773 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:29:59, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9819, loss_cls: 0.5923, loss: 0.5923 +2025-07-02 03:06:17,124 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 03:06:40,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:06:40,421 - pyskl - INFO - +top1_acc 0.8720 +top5_acc 0.9937 +2025-07-02 03:06:40,422 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8720, top5_acc: 0.9937 +2025-07-02 03:07:16,132 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:30:05, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5207, loss: 0.5207 +2025-07-02 03:07:31,289 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:29:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 0.4721, loss: 0.4721 +2025-07-02 03:07:46,529 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:29:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5336, loss: 0.5336 +2025-07-02 03:08:01,614 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:29:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.5029, loss: 0.5029 +2025-07-02 03:08:16,659 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:28:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5148, loss: 0.5148 +2025-07-02 03:08:31,861 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:28:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.5247, loss: 0.5247 +2025-07-02 03:08:46,990 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:28:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5338, loss: 0.5338 +2025-07-02 03:09:02,069 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:27:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5098, loss: 0.5098 +2025-07-02 03:09:17,188 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:27:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5167, loss: 0.5167 +2025-07-02 03:09:32,324 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:27:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5498, loss: 0.5498 +2025-07-02 03:09:47,567 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:26:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 0.5203, loss: 0.5203 +2025-07-02 03:10:00,076 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 03:10:22,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:10:22,635 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9937 +2025-07-02 03:10:22,639 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_23.pth was removed +2025-07-02 03:10:22,759 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. +2025-07-02 03:10:22,760 - pyskl - INFO - Best top1_acc is 0.8942 at 27 epoch. +2025-07-02 03:10:22,760 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8942, top5_acc: 0.9937 +2025-07-02 03:10:58,685 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:26:49, time: 0.359, data_time: 0.208, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 03:11:13,985 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:26:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.4964, loss: 0.4964 +2025-07-02 03:11:28,954 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:26:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.4853, loss: 0.4853 +2025-07-02 03:11:44,022 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:25:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 0.5399, loss: 0.5399 +2025-07-02 03:11:59,629 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:25:31, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 0.5430, loss: 0.5430 +2025-07-02 03:12:15,208 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:25:13, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5337, loss: 0.5337 +2025-07-02 03:12:30,363 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:24:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4265, loss: 0.4265 +2025-07-02 03:12:45,454 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:24:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5044, loss: 0.5044 +2025-07-02 03:13:00,619 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:24:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 03:13:15,968 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:23:54, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9944, loss_cls: 0.5139, loss: 0.5139 +2025-07-02 03:13:31,325 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:23:35, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5450, loss: 0.5450 +2025-07-02 03:13:43,901 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 03:14:06,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:14:06,509 - pyskl - INFO - +top1_acc 0.8772 +top5_acc 0.9848 +2025-07-02 03:14:06,509 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8772, top5_acc: 0.9848 +2025-07-02 03:14:42,932 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:23:41, time: 0.364, data_time: 0.211, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9931, loss_cls: 0.5088, loss: 0.5088 +2025-07-02 03:14:58,123 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:23:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9925, loss_cls: 0.5211, loss: 0.5211 +2025-07-02 03:15:13,382 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:23:02, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.5621, loss: 0.5621 +2025-07-02 03:15:28,617 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:22:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.5591, loss: 0.5591 +2025-07-02 03:15:43,790 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:22:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.4875, loss: 0.4875 +2025-07-02 03:15:59,088 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:22:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.4991, loss: 0.4991 +2025-07-02 03:16:14,698 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:21:46, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5314, loss: 0.5314 +2025-07-02 03:16:29,747 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:21:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.4720, loss: 0.4720 +2025-07-02 03:16:44,919 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:21:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 03:17:00,208 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:20:48, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5060, loss: 0.5060 +2025-07-02 03:17:15,581 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:20:29, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.5927, loss: 0.5927 +2025-07-02 03:17:27,864 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 03:17:50,550 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:17:50,560 - pyskl - INFO - +top1_acc 0.8946 +top5_acc 0.9948 +2025-07-02 03:17:50,564 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_27.pth was removed +2025-07-02 03:17:50,681 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-07-02 03:17:50,682 - pyskl - INFO - Best top1_acc is 0.8946 at 29 epoch. +2025-07-02 03:17:50,682 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8946, top5_acc: 0.9948 +2025-07-02 03:18:27,169 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:20:34, time: 0.365, data_time: 0.209, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4750, loss: 0.4750 +2025-07-02 03:18:42,785 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:20:16, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5049, loss: 0.5049 +2025-07-02 03:18:58,482 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:19:58, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 0.4274, loss: 0.4274 +2025-07-02 03:19:14,155 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:19:41, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5101, loss: 0.5101 +2025-07-02 03:19:29,869 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:19:24, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 03:19:45,661 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:19:07, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9850, loss_cls: 0.5033, loss: 0.5033 +2025-07-02 03:20:01,422 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:18:50, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 03:20:17,113 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:18:32, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9094, top5_acc: 0.9862, loss_cls: 0.5182, loss: 0.5182 +2025-07-02 03:20:32,782 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:18:15, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5211, loss: 0.5211 +2025-07-02 03:20:48,457 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:17:57, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5008, loss: 0.5008 +2025-07-02 03:21:04,071 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:17:40, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 0.5297, loss: 0.5297 +2025-07-02 03:21:16,822 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 03:21:39,374 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:21:39,386 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9915 +2025-07-02 03:21:39,387 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8891, top5_acc: 0.9915 +2025-07-02 03:22:16,238 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:17:44, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5855, loss: 0.5855 +2025-07-02 03:22:31,897 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:17:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 0.5368, loss: 0.5368 +2025-07-02 03:22:47,600 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:17:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.6053, loss: 0.6053 +2025-07-02 03:23:03,324 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:16:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4985, loss: 0.4985 +2025-07-02 03:23:19,010 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:16:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 03:23:34,793 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:16:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5407, loss: 0.5407 +2025-07-02 03:23:50,548 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:16:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.5596, loss: 0.5596 +2025-07-02 03:24:06,277 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:15:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 0.5280, loss: 0.5280 +2025-07-02 03:24:22,063 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:15:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9875, loss_cls: 0.5269, loss: 0.5269 +2025-07-02 03:24:37,799 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:15:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5336, loss: 0.5336 +2025-07-02 03:24:53,335 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:14:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.5274, loss: 0.5274 +2025-07-02 03:25:06,068 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 03:25:29,046 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:25:29,056 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9937 +2025-07-02 03:25:29,057 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8924, top5_acc: 0.9937 +2025-07-02 03:26:05,944 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:14:54, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4874, loss: 0.4874 +2025-07-02 03:26:21,509 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:14:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 03:26:37,115 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:14:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 0.5544, loss: 0.5544 +2025-07-02 03:26:52,682 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:14:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.5766, loss: 0.5766 +2025-07-02 03:27:08,382 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:13:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5119, loss: 0.5119 +2025-07-02 03:27:24,136 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:13:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 0.5622, loss: 0.5622 +2025-07-02 03:27:39,905 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:13:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.5344, loss: 0.5344 +2025-07-02 03:27:55,535 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:12:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9831, loss_cls: 0.5767, loss: 0.5767 +2025-07-02 03:28:11,183 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:12:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5625, loss: 0.5625 +2025-07-02 03:28:26,824 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:12:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5645, loss: 0.5645 +2025-07-02 03:28:42,482 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:11:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4675, loss: 0.4675 +2025-07-02 03:28:55,341 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 03:29:18,039 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:29:18,050 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9889 +2025-07-02 03:29:18,050 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.8846, top5_acc: 0.9889 +2025-07-02 03:29:55,143 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:12:01, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.4935, loss: 0.4935 +2025-07-02 03:30:10,743 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:11:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4685, loss: 0.4685 +2025-07-02 03:30:26,249 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:11:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5706, loss: 0.5706 +2025-07-02 03:30:41,817 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:11:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.4940, loss: 0.4940 +2025-07-02 03:30:57,415 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:10:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.5030, loss: 0.5030 +2025-07-02 03:31:13,074 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:10:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 03:31:28,844 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:10:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 03:31:44,822 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:09:59, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4710, loss: 0.4710 +2025-07-02 03:32:00,493 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:09:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5142, loss: 0.5142 +2025-07-02 03:32:16,211 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:09:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5095, loss: 0.5095 +2025-07-02 03:32:31,946 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:09:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.6088, loss: 0.6088 +2025-07-02 03:32:44,734 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 03:33:07,767 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:33:07,777 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9956 +2025-07-02 03:33:07,781 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_29.pth was removed +2025-07-02 03:33:07,909 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. +2025-07-02 03:33:07,910 - pyskl - INFO - Best top1_acc is 0.8972 at 33 epoch. +2025-07-02 03:33:07,911 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8972, top5_acc: 0.9956 +2025-07-02 03:33:45,287 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:09:09, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5919, loss: 0.5919 +2025-07-02 03:34:00,990 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:08:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.5095, loss: 0.5095 +2025-07-02 03:34:16,663 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:08:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4882, loss: 0.4882 +2025-07-02 03:34:32,280 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:08:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9875, loss_cls: 0.4748, loss: 0.4748 +2025-07-02 03:34:47,899 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:07:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 0.5530, loss: 0.5530 +2025-07-02 03:35:03,595 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:07:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5210, loss: 0.5210 +2025-07-02 03:35:19,354 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:07:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5183, loss: 0.5183 +2025-07-02 03:35:35,097 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:07:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5238, loss: 0.5238 +2025-07-02 03:35:50,715 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:06:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 03:36:06,410 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:06:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.5247, loss: 0.5247 +2025-07-02 03:36:22,034 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:06:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5063, loss: 0.5063 +2025-07-02 03:36:34,949 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 03:36:58,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:36:58,335 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9915 +2025-07-02 03:36:58,336 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8931, top5_acc: 0.9915 +2025-07-02 03:37:35,893 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:06:16, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4600, loss: 0.4600 +2025-07-02 03:37:51,458 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:05:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4712, loss: 0.4712 +2025-07-02 03:38:07,069 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:05:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5546, loss: 0.5546 +2025-07-02 03:38:22,598 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:05:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9875, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 03:38:38,135 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:05:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 0.5283, loss: 0.5283 +2025-07-02 03:38:53,718 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:04:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.4918, loss: 0.4918 +2025-07-02 03:39:09,269 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:04:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4829, loss: 0.4829 +2025-07-02 03:39:24,821 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:04:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5436, loss: 0.5436 +2025-07-02 03:39:40,426 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:03:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5045, loss: 0.5045 +2025-07-02 03:39:55,999 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:03:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 03:40:11,552 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:03:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5312, loss: 0.5312 +2025-07-02 03:40:24,383 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 03:40:47,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:40:47,197 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9896 +2025-07-02 03:40:47,201 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_33.pth was removed +2025-07-02 03:40:47,321 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. +2025-07-02 03:40:47,322 - pyskl - INFO - Best top1_acc is 0.9031 at 35 epoch. +2025-07-02 03:40:47,323 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.9031, top5_acc: 0.9896 +2025-07-02 03:41:24,737 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:03:18, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5172, loss: 0.5172 +2025-07-02 03:41:40,374 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:03:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 03:41:56,188 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:02:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4961, loss: 0.4961 +2025-07-02 03:42:11,825 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:02:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 0.5211, loss: 0.5211 +2025-07-02 03:42:27,522 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 6:02:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 0.5075, loss: 0.5075 +2025-07-02 03:42:43,293 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 6:01:51, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4933, loss: 0.4933 +2025-07-02 03:42:59,045 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 6:01:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 0.4365, loss: 0.4365 +2025-07-02 03:43:14,721 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 6:01:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 03:43:30,288 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 6:00:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5277, loss: 0.5277 +2025-07-02 03:43:46,025 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 6:00:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.4889, loss: 0.4889 +2025-07-02 03:44:01,691 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 6:00:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9925, loss_cls: 0.5430, loss: 0.5430 +2025-07-02 03:44:14,622 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 03:44:37,639 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:44:37,649 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9945 +2025-07-02 03:44:37,649 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.9001, top5_acc: 0.9945 +2025-07-02 03:45:15,037 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 6:00:23, time: 0.374, data_time: 0.212, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.4038, loss: 0.4038 +2025-07-02 03:45:30,889 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 6:00:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4756, loss: 0.4756 +2025-07-02 03:45:46,622 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:59:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4444, loss: 0.4444 +2025-07-02 03:46:02,313 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:59:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4595, loss: 0.4595 +2025-07-02 03:46:17,964 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:59:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5214, loss: 0.5214 +2025-07-02 03:46:33,974 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:58:57, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5058, loss: 0.5058 +2025-07-02 03:46:49,844 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:58:41, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5670, loss: 0.5670 +2025-07-02 03:47:05,459 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:58:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4754, loss: 0.4754 +2025-07-02 03:47:20,988 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:58:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5369, loss: 0.5369 +2025-07-02 03:47:36,638 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:57:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.4981, loss: 0.4981 +2025-07-02 03:47:52,392 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:57:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5470, loss: 0.5470 +2025-07-02 03:48:05,183 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 03:48:28,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:48:28,773 - pyskl - INFO - +top1_acc 0.8861 +top5_acc 0.9878 +2025-07-02 03:48:28,774 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8861, top5_acc: 0.9878 +2025-07-02 03:49:06,362 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:57:29, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 0.4672, loss: 0.4672 +2025-07-02 03:49:21,987 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:57:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5139, loss: 0.5139 +2025-07-02 03:49:37,713 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:56:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4815, loss: 0.4815 +2025-07-02 03:49:53,273 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:56:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4604, loss: 0.4604 +2025-07-02 03:50:08,988 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:56:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.4989, loss: 0.4989 +2025-07-02 03:50:24,708 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:56:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9856, loss_cls: 0.5570, loss: 0.5570 +2025-07-02 03:50:40,401 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:55:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.5089, loss: 0.5089 +2025-07-02 03:50:56,072 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:55:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 03:51:11,797 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:55:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5289, loss: 0.5289 +2025-07-02 03:51:27,484 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:54:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.5079, loss: 0.5079 +2025-07-02 03:51:43,090 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:54:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.4714, loss: 0.4714 +2025-07-02 03:51:56,097 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 03:52:19,489 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:52:19,500 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9930 +2025-07-02 03:52:19,500 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8931, top5_acc: 0.9930 +2025-07-02 03:52:56,978 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:54:31, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.4143, loss: 0.4143 +2025-07-02 03:53:12,598 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:54:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4299, loss: 0.4299 +2025-07-02 03:53:28,192 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:53:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4484, loss: 0.4484 +2025-07-02 03:53:43,748 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:53:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9856, loss_cls: 0.4531, loss: 0.4531 +2025-07-02 03:53:59,330 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:53:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5409, loss: 0.5409 +2025-07-02 03:54:14,939 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:53:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9838, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 03:54:30,518 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:52:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4861, loss: 0.4861 +2025-07-02 03:54:46,117 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:52:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4771, loss: 0.4771 +2025-07-02 03:55:01,756 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:52:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4166, loss: 0.4166 +2025-07-02 03:55:17,461 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:51:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5225, loss: 0.5225 +2025-07-02 03:55:33,236 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:51:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4743, loss: 0.4743 +2025-07-02 03:55:46,110 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 03:56:09,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:56:09,541 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9904 +2025-07-02 03:56:09,542 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8942, top5_acc: 0.9904 +2025-07-02 03:56:47,063 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:51:32, time: 0.375, data_time: 0.213, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4880, loss: 0.4880 +2025-07-02 03:57:02,866 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:51:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.5262, loss: 0.5262 +2025-07-02 03:57:18,584 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:50:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4580, loss: 0.4580 +2025-07-02 03:57:34,200 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:50:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.4711, loss: 0.4711 +2025-07-02 03:57:49,942 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:50:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4463, loss: 0.4463 +2025-07-02 03:58:05,820 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:50:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 03:58:21,634 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:49:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4369, loss: 0.4369 +2025-07-02 03:58:37,126 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:49:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5104, loss: 0.5104 +2025-07-02 03:58:52,754 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:49:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9881, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 03:59:08,575 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:48:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4705, loss: 0.4705 +2025-07-02 03:59:24,428 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:48:39, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4497, loss: 0.4497 +2025-07-02 03:59:37,450 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 04:00:00,584 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:00:00,594 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9904 +2025-07-02 04:00:00,595 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8913, top5_acc: 0.9904 +2025-07-02 04:00:38,183 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:48:35, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 04:00:53,799 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:48:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4353, loss: 0.4353 +2025-07-02 04:01:09,350 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:47:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4606, loss: 0.4606 +2025-07-02 04:01:24,867 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:47:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4381, loss: 0.4381 +2025-07-02 04:01:40,409 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:47:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 0.4686, loss: 0.4686 +2025-07-02 04:01:55,950 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:47:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5118, loss: 0.5118 +2025-07-02 04:02:11,670 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:46:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.4704, loss: 0.4704 +2025-07-02 04:02:27,341 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:46:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.3951, loss: 0.3951 +2025-07-02 04:02:43,027 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:46:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4901, loss: 0.4901 +2025-07-02 04:02:58,614 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:45:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 0.5348, loss: 0.5348 +2025-07-02 04:03:14,156 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:45:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4465, loss: 0.4465 +2025-07-02 04:03:26,917 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 04:03:50,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:03:50,462 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9915 +2025-07-02 04:03:50,466 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_35.pth was removed +2025-07-02 04:03:50,588 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-02 04:03:50,589 - pyskl - INFO - Best top1_acc is 0.9135 at 41 epoch. +2025-07-02 04:03:50,590 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.9135, top5_acc: 0.9915 +2025-07-02 04:04:28,514 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:45:34, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4520, loss: 0.4520 +2025-07-02 04:04:44,318 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:45:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4649, loss: 0.4649 +2025-07-02 04:05:00,064 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:45:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4820, loss: 0.4820 +2025-07-02 04:05:15,735 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:44:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4064, loss: 0.4064 +2025-07-02 04:05:31,484 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:44:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4952, loss: 0.4952 +2025-07-02 04:05:47,104 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:44:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4606, loss: 0.4606 +2025-07-02 04:06:02,883 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:43:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4660, loss: 0.4660 +2025-07-02 04:06:18,544 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:43:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4805, loss: 0.4805 +2025-07-02 04:06:34,219 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:43:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.4567, loss: 0.4567 +2025-07-02 04:06:49,997 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:42:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4503, loss: 0.4503 +2025-07-02 04:07:05,667 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:42:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 04:07:18,579 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 04:07:41,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:07:41,768 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9911 +2025-07-02 04:07:41,768 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9009, top5_acc: 0.9911 +2025-07-02 04:08:19,545 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:42:35, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4504, loss: 0.4504 +2025-07-02 04:08:35,210 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:42:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 04:08:50,813 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:42:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4421, loss: 0.4421 +2025-07-02 04:09:06,438 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:41:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.4626, loss: 0.4626 +2025-07-02 04:09:22,091 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:41:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4536, loss: 0.4536 +2025-07-02 04:09:37,648 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:41:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4730, loss: 0.4730 +2025-07-02 04:09:53,200 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:40:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5186, loss: 0.5186 +2025-07-02 04:10:08,779 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:40:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4790, loss: 0.4790 +2025-07-02 04:10:24,408 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:40:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.4085, loss: 0.4085 +2025-07-02 04:10:40,077 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:39:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4272, loss: 0.4272 +2025-07-02 04:10:55,773 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:39:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4783, loss: 0.4783 +2025-07-02 04:11:09,017 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 04:11:32,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:11:32,356 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9904 +2025-07-02 04:11:32,359 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_41.pth was removed +2025-07-02 04:11:32,485 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. +2025-07-02 04:11:32,486 - pyskl - INFO - Best top1_acc is 0.9194 at 43 epoch. +2025-07-02 04:11:32,487 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.9194, top5_acc: 0.9904 +2025-07-02 04:12:10,094 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:39:33, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4306, loss: 0.4306 +2025-07-02 04:12:25,690 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:39:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.4057, loss: 0.4057 +2025-07-02 04:12:41,252 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:38:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4402, loss: 0.4402 +2025-07-02 04:12:56,853 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:38:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 04:13:12,802 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:38:23, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.4184, loss: 0.4184 +2025-07-02 04:13:28,666 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:38:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.4983, loss: 0.4983 +2025-07-02 04:13:44,410 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:37:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4322, loss: 0.4322 +2025-07-02 04:14:00,039 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:37:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4370, loss: 0.4370 +2025-07-02 04:14:15,707 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:37:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.4040, loss: 0.4040 +2025-07-02 04:14:31,506 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:36:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4698, loss: 0.4698 +2025-07-02 04:14:47,084 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:36:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4292, loss: 0.4292 +2025-07-02 04:15:00,042 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 04:15:23,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:15:23,655 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9933 +2025-07-02 04:15:23,655 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9001, top5_acc: 0.9933 +2025-07-02 04:16:01,140 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:36:32, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4865, loss: 0.4865 +2025-07-02 04:16:16,754 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:36:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.4137, loss: 0.4137 +2025-07-02 04:16:32,373 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:35:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4164, loss: 0.4164 +2025-07-02 04:16:48,051 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:35:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4544, loss: 0.4544 +2025-07-02 04:17:03,799 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:35:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.4664, loss: 0.4664 +2025-07-02 04:17:19,441 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:35:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4272, loss: 0.4272 +2025-07-02 04:17:34,988 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:34:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.4953, loss: 0.4953 +2025-07-02 04:17:50,557 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:34:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 0.3774, loss: 0.3774 +2025-07-02 04:18:06,208 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:34:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.4793, loss: 0.4793 +2025-07-02 04:18:21,940 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:33:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 04:18:37,698 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:33:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4318, loss: 0.4318 +2025-07-02 04:18:50,549 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 04:19:14,103 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:19:14,114 - pyskl - INFO - +top1_acc 0.9116 +top5_acc 0.9926 +2025-07-02 04:19:14,114 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.9116, top5_acc: 0.9926 +2025-07-02 04:19:51,506 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:33:29, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4212, loss: 0.4212 +2025-07-02 04:20:07,006 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:33:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3955, loss: 0.3955 +2025-07-02 04:20:22,575 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:32:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 04:20:38,087 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:32:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 0.4051, loss: 0.4051 +2025-07-02 04:20:53,622 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:32:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 0.4585, loss: 0.4585 +2025-07-02 04:21:09,173 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:32:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4761, loss: 0.4761 +2025-07-02 04:21:24,731 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:31:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4527, loss: 0.4527 +2025-07-02 04:21:40,298 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:31:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4641, loss: 0.4641 +2025-07-02 04:21:55,926 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:31:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 04:22:11,595 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:30:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5138, loss: 0.5138 +2025-07-02 04:22:27,244 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:30:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4681, loss: 0.4681 +2025-07-02 04:22:39,957 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 04:23:03,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:23:03,388 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9926 +2025-07-02 04:23:03,388 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.8976, top5_acc: 0.9926 +2025-07-02 04:23:40,766 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:30:24, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 04:23:56,286 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:30:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4144, loss: 0.4144 +2025-07-02 04:24:11,807 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:29:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5425, loss: 0.5425 +2025-07-02 04:24:27,358 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:29:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4289, loss: 0.4289 +2025-07-02 04:24:42,930 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:29:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4655, loss: 0.4655 +2025-07-02 04:24:58,460 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:28:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4128, loss: 0.4128 +2025-07-02 04:25:14,100 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:28:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4632, loss: 0.4632 +2025-07-02 04:25:29,837 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:28:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4391, loss: 0.4391 +2025-07-02 04:25:45,765 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:28:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9888, loss_cls: 0.4290, loss: 0.4290 +2025-07-02 04:26:01,671 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:27:47, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4623, loss: 0.4623 +2025-07-02 04:26:17,362 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:27:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9875, loss_cls: 0.4514, loss: 0.4514 +2025-07-02 04:26:30,222 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 04:26:53,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:26:53,111 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9933 +2025-07-02 04:26:53,115 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_43.pth was removed +2025-07-02 04:26:53,229 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2025-07-02 04:26:53,229 - pyskl - INFO - Best top1_acc is 0.9231 at 47 epoch. +2025-07-02 04:26:53,230 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.9231, top5_acc: 0.9933 +2025-07-02 04:27:30,538 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:27:20, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3733, loss: 0.3733 +2025-07-02 04:27:46,155 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:27:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4348, loss: 0.4348 +2025-07-02 04:28:01,785 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:26:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4176, loss: 0.4176 +2025-07-02 04:28:17,397 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:26:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4371, loss: 0.4371 +2025-07-02 04:28:33,019 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:26:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9881, loss_cls: 0.4222, loss: 0.4222 +2025-07-02 04:28:48,598 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:25:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4525, loss: 0.4525 +2025-07-02 04:29:04,167 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:25:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9962, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 04:29:19,684 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:25:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4120, loss: 0.4120 +2025-07-02 04:29:35,271 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:25:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4166, loss: 0.4166 +2025-07-02 04:29:50,880 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:24:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 0.5187, loss: 0.5187 +2025-07-02 04:30:06,506 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:24:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 0.4270, loss: 0.4270 +2025-07-02 04:30:19,216 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 04:30:42,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:30:42,364 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9922 +2025-07-02 04:30:42,365 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.8939, top5_acc: 0.9922 +2025-07-02 04:31:19,616 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:24:14, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4413, loss: 0.4413 +2025-07-02 04:31:35,214 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:23:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3579, loss: 0.3579 +2025-07-02 04:31:50,821 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:23:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4327, loss: 0.4327 +2025-07-02 04:32:06,437 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:23:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 04:32:22,128 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:23:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4258, loss: 0.4258 +2025-07-02 04:32:37,739 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:22:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4252, loss: 0.4252 +2025-07-02 04:32:53,322 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:22:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4783, loss: 0.4783 +2025-07-02 04:33:08,915 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:22:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 04:33:24,658 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:21:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4550, loss: 0.4550 +2025-07-02 04:33:40,245 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:21:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4480, loss: 0.4480 +2025-07-02 04:33:55,890 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:21:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 04:34:08,699 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 04:34:31,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:34:31,698 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9919 +2025-07-02 04:34:31,698 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9090, top5_acc: 0.9919 +2025-07-02 04:35:08,846 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:21:08, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 0.3741, loss: 0.3741 +2025-07-02 04:35:24,525 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:20:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 0.4118, loss: 0.4118 +2025-07-02 04:35:40,194 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:20:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 04:35:55,962 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:20:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3912, loss: 0.3912 +2025-07-02 04:36:11,761 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:19:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4183, loss: 0.4183 +2025-07-02 04:36:27,482 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:19:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 0.4154, loss: 0.4154 +2025-07-02 04:36:43,131 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:19:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9856, loss_cls: 0.4488, loss: 0.4488 +2025-07-02 04:36:58,827 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:19:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3499, loss: 0.3499 +2025-07-02 04:37:14,563 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:18:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 0.4695, loss: 0.4695 +2025-07-02 04:37:30,205 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:18:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4344, loss: 0.4344 +2025-07-02 04:37:45,930 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:18:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.4485, loss: 0.4485 +2025-07-02 04:37:58,594 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 04:38:21,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:38:21,530 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9945 +2025-07-02 04:38:21,530 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.9042, top5_acc: 0.9945 +2025-07-02 04:38:58,972 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:18:04, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3800, loss: 0.3800 +2025-07-02 04:39:14,569 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:17:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4031, loss: 0.4031 +2025-07-02 04:39:30,222 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:17:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4230, loss: 0.4230 +2025-07-02 04:39:45,834 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:17:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3941, loss: 0.3941 +2025-07-02 04:40:01,449 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:16:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 04:40:17,128 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:16:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.4810, loss: 0.4810 +2025-07-02 04:40:32,839 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:16:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4341, loss: 0.4341 +2025-07-02 04:40:48,605 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:16:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4744, loss: 0.4744 +2025-07-02 04:41:04,507 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:15:46, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4593, loss: 0.4593 +2025-07-02 04:41:20,246 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:15:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4641, loss: 0.4641 +2025-07-02 04:41:35,914 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:15:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.4744, loss: 0.4744 +2025-07-02 04:41:48,657 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 04:42:11,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:42:11,608 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9948 +2025-07-02 04:42:11,608 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9153, top5_acc: 0.9948 +2025-07-02 04:42:48,800 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:14:59, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3753, loss: 0.3753 +2025-07-02 04:43:04,486 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:14:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4311, loss: 0.4311 +2025-07-02 04:43:20,171 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:14:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3721, loss: 0.3721 +2025-07-02 04:43:35,854 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:14:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4598, loss: 0.4598 +2025-07-02 04:43:51,621 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:13:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9869, loss_cls: 0.4757, loss: 0.4757 +2025-07-02 04:44:07,350 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:13:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4214, loss: 0.4214 +2025-07-02 04:44:23,060 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:13:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9881, loss_cls: 0.4127, loss: 0.4127 +2025-07-02 04:44:38,795 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:12:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 04:44:54,491 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:12:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.4022, loss: 0.4022 +2025-07-02 04:45:10,296 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:12:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4040, loss: 0.4040 +2025-07-02 04:45:26,004 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:12:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4666, loss: 0.4666 +2025-07-02 04:45:38,795 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 04:46:01,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:46:01,130 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9967 +2025-07-02 04:46:01,131 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9197, top5_acc: 0.9967 +2025-07-02 04:46:38,597 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:11:55, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 04:46:54,283 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:11:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.4172, loss: 0.4172 +2025-07-02 04:47:09,913 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:11:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.4164, loss: 0.4164 +2025-07-02 04:47:25,502 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:11:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4066, loss: 0.4066 +2025-07-02 04:47:41,169 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:10:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4371, loss: 0.4371 +2025-07-02 04:47:56,700 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:10:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4528, loss: 0.4528 +2025-07-02 04:48:12,293 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:10:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3645, loss: 0.3645 +2025-07-02 04:48:27,954 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:09:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4061, loss: 0.4061 +2025-07-02 04:48:43,663 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:09:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4354, loss: 0.4354 +2025-07-02 04:48:59,622 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:09:20, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 0.4083, loss: 0.4083 +2025-07-02 04:49:15,432 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:09:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.4547, loss: 0.4547 +2025-07-02 04:49:28,256 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 04:49:51,084 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:49:51,095 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9937 +2025-07-02 04:49:51,095 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9050, top5_acc: 0.9937 +2025-07-02 04:50:28,081 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:08:49, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.3975, loss: 0.3975 +2025-07-02 04:50:43,767 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:08:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 0.3824, loss: 0.3824 +2025-07-02 04:50:59,367 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:08:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3826, loss: 0.3826 +2025-07-02 04:51:14,928 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:07:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3739, loss: 0.3739 +2025-07-02 04:51:30,586 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:07:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 0.4187, loss: 0.4187 +2025-07-02 04:51:46,233 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:07:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3578, loss: 0.3578 +2025-07-02 04:52:01,938 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:07:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9894, loss_cls: 0.4252, loss: 0.4252 +2025-07-02 04:52:17,728 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:06:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3634, loss: 0.3634 +2025-07-02 04:52:33,570 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:06:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4345, loss: 0.4345 +2025-07-02 04:52:49,411 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:06:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4759, loss: 0.4759 +2025-07-02 04:53:05,185 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:05:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4506, loss: 0.4506 +2025-07-02 04:53:17,989 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 04:53:40,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:53:40,741 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9889 +2025-07-02 04:53:40,742 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8972, top5_acc: 0.9889 +2025-07-02 04:54:17,694 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:05:43, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3916, loss: 0.3916 +2025-07-02 04:54:33,494 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:05:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9912, loss_cls: 0.3571, loss: 0.3571 +2025-07-02 04:54:49,570 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:05:09, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4444, loss: 0.4444 +2025-07-02 04:55:05,518 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:04:52, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4277, loss: 0.4277 +2025-07-02 04:55:21,167 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:04:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 04:55:36,785 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:04:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3808, loss: 0.3808 +2025-07-02 04:55:52,662 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:04:01, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3696, loss: 0.3696 +2025-07-02 04:56:08,413 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:03:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4026, loss: 0.4026 +2025-07-02 04:56:24,117 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:03:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3463, loss: 0.3463 +2025-07-02 04:56:39,749 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:03:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3867, loss: 0.3867 +2025-07-02 04:56:55,410 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:02:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4345, loss: 0.4345 +2025-07-02 04:57:08,159 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 04:57:30,934 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:57:30,945 - pyskl - INFO - +top1_acc 0.9142 +top5_acc 0.9945 +2025-07-02 04:57:30,945 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.9142, top5_acc: 0.9945 +2025-07-02 04:58:07,935 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:02:37, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.3979, loss: 0.3979 +2025-07-02 04:58:23,594 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:02:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3254, loss: 0.3254 +2025-07-02 04:58:39,309 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:02:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4384, loss: 0.4384 +2025-07-02 04:58:54,854 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 5:01:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9900, loss_cls: 0.3615, loss: 0.3615 +2025-07-02 04:59:10,731 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 5:01:29, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4086, loss: 0.4086 +2025-07-02 04:59:26,690 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 5:01:12, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3884, loss: 0.3884 +2025-07-02 04:59:42,615 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 5:00:55, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 0.3797, loss: 0.3797 +2025-07-02 04:59:58,414 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 5:00:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3816, loss: 0.3816 +2025-07-02 05:00:14,221 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 5:00:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9906, loss_cls: 0.3845, loss: 0.3845 +2025-07-02 05:00:29,981 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 5:00:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4110, loss: 0.4110 +2025-07-02 05:00:45,607 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:59:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 0.4390, loss: 0.4390 +2025-07-02 05:00:58,335 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 05:01:21,421 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:01:21,431 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9963 +2025-07-02 05:01:21,435 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_47.pth was removed +2025-07-02 05:01:21,551 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-02 05:01:21,551 - pyskl - INFO - Best top1_acc is 0.9257 at 56 epoch. +2025-07-02 05:01:21,552 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9257, top5_acc: 0.9963 +2025-07-02 05:01:58,820 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:59:32, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3812, loss: 0.3812 +2025-07-02 05:02:14,317 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:59:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4256, loss: 0.4256 +2025-07-02 05:02:29,883 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:58:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.3949, loss: 0.3949 +2025-07-02 05:02:45,467 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:58:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4220, loss: 0.4220 +2025-07-02 05:03:01,385 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:58:23, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4272, loss: 0.4272 +2025-07-02 05:03:17,062 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:58:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9900, loss_cls: 0.3915, loss: 0.3915 +2025-07-02 05:03:32,844 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:57:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4125, loss: 0.4125 +2025-07-02 05:03:48,472 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:57:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3723, loss: 0.3723 +2025-07-02 05:04:04,277 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:57:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4052, loss: 0.4052 +2025-07-02 05:04:19,994 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:56:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3828, loss: 0.3828 +2025-07-02 05:04:35,577 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:56:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4368, loss: 0.4368 +2025-07-02 05:04:48,339 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 05:05:11,332 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:05:11,342 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9911 +2025-07-02 05:05:11,343 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.8961, top5_acc: 0.9911 +2025-07-02 05:05:48,472 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:56:25, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 0.3953, loss: 0.3953 +2025-07-02 05:06:04,058 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:56:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 05:06:19,634 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:55:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3932, loss: 0.3932 +2025-07-02 05:06:35,252 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:55:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 0.3665, loss: 0.3665 +2025-07-02 05:06:50,907 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:55:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3407, loss: 0.3407 +2025-07-02 05:07:06,615 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:54:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4349, loss: 0.4349 +2025-07-02 05:07:22,345 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:54:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 0.3263, loss: 0.3263 +2025-07-02 05:07:37,993 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:54:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4131, loss: 0.4131 +2025-07-02 05:07:53,941 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:54:08, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9900, loss_cls: 0.4160, loss: 0.4160 +2025-07-02 05:08:09,635 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:53:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3491, loss: 0.3491 +2025-07-02 05:08:25,300 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:53:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9881, loss_cls: 0.4152, loss: 0.4152 +2025-07-02 05:08:38,070 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 05:09:01,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:09:01,177 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9952 +2025-07-02 05:09:01,178 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9197, top5_acc: 0.9952 +2025-07-02 05:09:38,497 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:53:18, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3512, loss: 0.3512 +2025-07-02 05:09:54,214 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:53:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3661, loss: 0.3661 +2025-07-02 05:10:09,883 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:52:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4471, loss: 0.4471 +2025-07-02 05:10:25,660 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:52:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3347, loss: 0.3347 +2025-07-02 05:10:41,654 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:52:10, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 05:10:57,372 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:51:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3705, loss: 0.3705 +2025-07-02 05:11:13,184 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:51:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3748, loss: 0.3748 +2025-07-02 05:11:28,888 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:51:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 05:11:44,541 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:51:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 05:12:00,192 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:50:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3677, loss: 0.3677 +2025-07-02 05:12:15,862 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:50:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3485, loss: 0.3485 +2025-07-02 05:12:28,614 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 05:12:51,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:12:51,465 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9915 +2025-07-02 05:12:51,466 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9205, top5_acc: 0.9915 +2025-07-02 05:13:28,860 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:50:11, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9912, loss_cls: 0.3733, loss: 0.3733 +2025-07-02 05:13:44,429 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:49:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 05:13:59,978 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:49:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4575, loss: 0.4575 +2025-07-02 05:14:15,601 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:49:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 0.3921, loss: 0.3921 +2025-07-02 05:14:31,295 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:49:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9850, loss_cls: 0.4370, loss: 0.4370 +2025-07-02 05:14:47,084 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:48:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9912, loss_cls: 0.3313, loss: 0.3313 +2025-07-02 05:15:02,718 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:48:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9881, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 05:15:18,331 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:48:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9894, loss_cls: 0.3972, loss: 0.3972 +2025-07-02 05:15:33,881 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:47:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4305, loss: 0.4305 +2025-07-02 05:15:49,586 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:47:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4019, loss: 0.4019 +2025-07-02 05:16:05,360 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:47:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4242, loss: 0.4242 +2025-07-02 05:16:18,239 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 05:16:40,955 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:16:40,965 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9930 +2025-07-02 05:16:40,965 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9094, top5_acc: 0.9930 +2025-07-02 05:17:18,022 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:47:03, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3323, loss: 0.3323 +2025-07-02 05:17:33,609 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:46:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 05:17:49,230 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3901, loss: 0.3901 +2025-07-02 05:18:05,122 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:46:11, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3768, loss: 0.3768 +2025-07-02 05:18:20,858 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:45:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4824, loss: 0.4824 +2025-07-02 05:18:36,633 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:45:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 0.3211, loss: 0.3211 +2025-07-02 05:18:52,306 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:45:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3339, loss: 0.3339 +2025-07-02 05:19:08,003 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:45:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9900, loss_cls: 0.3817, loss: 0.3817 +2025-07-02 05:19:23,678 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:44:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3361, loss: 0.3361 +2025-07-02 05:19:39,417 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:44:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.4026, loss: 0.4026 +2025-07-02 05:19:55,089 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:44:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 0.4258, loss: 0.4258 +2025-07-02 05:20:07,813 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 05:20:30,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:20:30,612 - pyskl - INFO - +top1_acc 0.9027 +top5_acc 0.9915 +2025-07-02 05:20:30,612 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9027, top5_acc: 0.9915 +2025-07-02 05:21:07,618 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:43:55, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 0.4106, loss: 0.4106 +2025-07-02 05:21:23,156 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:43:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.3541, loss: 0.3541 +2025-07-02 05:21:38,742 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:43:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3450, loss: 0.3450 +2025-07-02 05:21:54,493 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:43:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3450, loss: 0.3450 +2025-07-02 05:22:10,255 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:42:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3331, loss: 0.3331 +2025-07-02 05:22:26,083 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:42:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3591, loss: 0.3591 +2025-07-02 05:22:41,910 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:42:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3351, loss: 0.3351 +2025-07-02 05:22:57,794 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:41:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3853, loss: 0.3853 +2025-07-02 05:23:13,611 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:41:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3717, loss: 0.3717 +2025-07-02 05:23:29,306 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:41:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.3952, loss: 0.3952 +2025-07-02 05:23:44,952 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:41:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.3709, loss: 0.3709 +2025-07-02 05:23:57,697 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 05:24:20,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:24:20,364 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9922 +2025-07-02 05:24:20,364 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9083, top5_acc: 0.9922 +2025-07-02 05:24:57,377 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:40:47, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.3315, loss: 0.3315 +2025-07-02 05:25:13,030 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:40:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 05:25:28,687 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:40:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 0.3315, loss: 0.3315 +2025-07-02 05:25:44,266 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:39:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4228, loss: 0.4228 +2025-07-02 05:26:00,082 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:39:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3956, loss: 0.3956 +2025-07-02 05:26:15,691 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:39:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3210, loss: 0.3210 +2025-07-02 05:26:31,274 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:39:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.3951, loss: 0.3951 +2025-07-02 05:26:46,951 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:38:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3913, loss: 0.3913 +2025-07-02 05:27:02,504 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:38:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.4060, loss: 0.4060 +2025-07-02 05:27:18,161 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:38:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4058, loss: 0.4058 +2025-07-02 05:27:33,958 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:37:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4011, loss: 0.4011 +2025-07-02 05:27:46,686 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 05:28:09,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:28:09,164 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9885 +2025-07-02 05:28:09,164 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.9149, top5_acc: 0.9885 +2025-07-02 05:28:45,885 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:37:38, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3542, loss: 0.3542 +2025-07-02 05:29:01,562 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:37:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3095, loss: 0.3095 +2025-07-02 05:29:17,371 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:37:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3305, loss: 0.3305 +2025-07-02 05:29:33,103 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:36:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3183, loss: 0.3183 +2025-07-02 05:29:48,856 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:36:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 05:30:04,472 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:36:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3905, loss: 0.3905 +2025-07-02 05:30:20,062 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:35:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3413, loss: 0.3413 +2025-07-02 05:30:35,741 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:35:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3681, loss: 0.3681 +2025-07-02 05:30:51,353 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:35:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3663, loss: 0.3663 +2025-07-02 05:31:07,026 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:35:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3422, loss: 0.3422 +2025-07-02 05:31:22,665 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:34:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4269, loss: 0.4269 +2025-07-02 05:31:35,585 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 05:31:58,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:31:58,925 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9959 +2025-07-02 05:31:58,925 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9212, top5_acc: 0.9959 +2025-07-02 05:32:36,554 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:34:30, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3653, loss: 0.3653 +2025-07-02 05:32:52,171 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:34:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2970, loss: 0.2970 +2025-07-02 05:33:07,935 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:33:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2970, loss: 0.2970 +2025-07-02 05:33:23,630 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:33:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3545, loss: 0.3545 +2025-07-02 05:33:39,479 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:33:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 05:33:55,354 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:33:05, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3593, loss: 0.3593 +2025-07-02 05:34:11,078 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:32:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 0.3691, loss: 0.3691 +2025-07-02 05:34:26,769 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:32:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 05:34:42,396 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:32:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3838, loss: 0.3838 +2025-07-02 05:34:58,113 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:31:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3795, loss: 0.3795 +2025-07-02 05:35:13,705 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:31:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3537, loss: 0.3537 +2025-07-02 05:35:26,520 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 05:35:49,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:35:49,799 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9956 +2025-07-02 05:35:49,803 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_56.pth was removed +2025-07-02 05:35:49,922 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2025-07-02 05:35:49,922 - pyskl - INFO - Best top1_acc is 0.9357 at 65 epoch. +2025-07-02 05:35:49,923 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9357, top5_acc: 0.9956 +2025-07-02 05:36:27,340 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:31:22, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3388, loss: 0.3388 +2025-07-02 05:36:43,023 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:31:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9919, loss_cls: 0.3249, loss: 0.3249 +2025-07-02 05:36:58,577 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:30:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.3998, loss: 0.3998 +2025-07-02 05:37:14,096 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:30:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9906, loss_cls: 0.3392, loss: 0.3392 +2025-07-02 05:37:29,806 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:30:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.3065, loss: 0.3065 +2025-07-02 05:37:45,552 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:29:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 0.3545, loss: 0.3545 +2025-07-02 05:38:01,247 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:29:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3413, loss: 0.3413 +2025-07-02 05:38:16,963 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:29:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3423, loss: 0.3423 +2025-07-02 05:38:32,546 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:29:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.3930, loss: 0.3930 +2025-07-02 05:38:48,147 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:28:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3702, loss: 0.3702 +2025-07-02 05:39:03,757 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:28:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4156, loss: 0.4156 +2025-07-02 05:39:16,607 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 05:39:40,242 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:39:40,252 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9945 +2025-07-02 05:39:40,256 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_65.pth was removed +2025-07-02 05:39:40,378 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2025-07-02 05:39:40,379 - pyskl - INFO - Best top1_acc is 0.9371 at 66 epoch. +2025-07-02 05:39:40,380 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9371, top5_acc: 0.9945 +2025-07-02 05:40:18,029 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:28:13, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3227, loss: 0.3227 +2025-07-02 05:40:33,654 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:27:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2872, loss: 0.2872 +2025-07-02 05:40:49,135 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:27:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.2997, loss: 0.2997 +2025-07-02 05:41:04,597 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:27:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2983, loss: 0.2983 +2025-07-02 05:41:20,105 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:27:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 0.3212, loss: 0.3212 +2025-07-02 05:41:35,843 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:26:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3241, loss: 0.3241 +2025-07-02 05:41:51,370 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:26:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3630, loss: 0.3630 +2025-07-02 05:42:06,962 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:26:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.4074, loss: 0.4074 +2025-07-02 05:42:22,576 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:25:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3807, loss: 0.3807 +2025-07-02 05:42:38,301 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:25:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.3095, loss: 0.3095 +2025-07-02 05:42:53,927 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:25:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4161, loss: 0.4161 +2025-07-02 05:43:06,711 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 05:43:30,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:43:30,304 - pyskl - INFO - +top1_acc 0.9142 +top5_acc 0.9948 +2025-07-02 05:43:30,305 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9142, top5_acc: 0.9948 +2025-07-02 05:44:07,597 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:25:03, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3280, loss: 0.3280 +2025-07-02 05:44:23,264 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:24:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9931, loss_cls: 0.3032, loss: 0.3032 +2025-07-02 05:44:39,020 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:24:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3695, loss: 0.3695 +2025-07-02 05:44:54,742 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:24:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3275, loss: 0.3275 +2025-07-02 05:45:10,300 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:23:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3835, loss: 0.3835 +2025-07-02 05:45:26,025 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:23:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 0.3167, loss: 0.3167 +2025-07-02 05:45:41,963 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:23:21, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.3078, loss: 0.3078 +2025-07-02 05:45:57,595 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:23:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3752, loss: 0.3752 +2025-07-02 05:46:13,199 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:22:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.4012, loss: 0.4012 +2025-07-02 05:46:29,001 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:22:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 05:46:44,726 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:22:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3466, loss: 0.3466 +2025-07-02 05:46:57,674 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 05:47:20,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:47:20,952 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9908 +2025-07-02 05:47:20,953 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9042, top5_acc: 0.9908 +2025-07-02 05:47:58,755 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:21:55, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3283, loss: 0.3283 +2025-07-02 05:48:14,535 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:21:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.2967, loss: 0.2967 +2025-07-02 05:48:30,275 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:21:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3096, loss: 0.3096 +2025-07-02 05:48:45,932 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:21:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2969, loss: 0.2969 +2025-07-02 05:49:01,763 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:20:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.3918, loss: 0.3918 +2025-07-02 05:49:17,357 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:20:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 05:49:32,989 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:20:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3545, loss: 0.3545 +2025-07-02 05:49:48,553 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:19:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3264, loss: 0.3264 +2025-07-02 05:50:04,126 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:19:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3552, loss: 0.3552 +2025-07-02 05:50:19,871 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:19:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3465, loss: 0.3465 +2025-07-02 05:50:35,521 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:19:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3106, loss: 0.3106 +2025-07-02 05:50:48,591 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 05:51:12,060 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:51:12,070 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9956 +2025-07-02 05:51:12,071 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9068, top5_acc: 0.9956 +2025-07-02 05:51:49,487 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:18:46, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3228, loss: 0.3228 +2025-07-02 05:52:05,078 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:18:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2681, loss: 0.2681 +2025-07-02 05:52:20,685 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:18:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 05:52:36,284 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:17:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.3121, loss: 0.3121 +2025-07-02 05:52:52,017 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:17:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3129, loss: 0.3129 +2025-07-02 05:53:07,734 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:17:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3411, loss: 0.3411 +2025-07-02 05:53:23,431 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:17:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3418, loss: 0.3418 +2025-07-02 05:53:39,116 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:16:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.3085, loss: 0.3085 +2025-07-02 05:53:54,764 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:16:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.2913, loss: 0.2913 +2025-07-02 05:54:10,442 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:16:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3319, loss: 0.3319 +2025-07-02 05:54:26,052 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:15:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3333, loss: 0.3333 +2025-07-02 05:54:38,886 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 05:55:02,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:55:02,713 - pyskl - INFO - +top1_acc 0.9024 +top5_acc 0.9959 +2025-07-02 05:55:02,713 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9024, top5_acc: 0.9959 +2025-07-02 05:55:40,474 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:15:37, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3583, loss: 0.3583 +2025-07-02 05:55:56,134 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:15:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2823, loss: 0.2823 +2025-07-02 05:56:11,785 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:15:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3246, loss: 0.3246 +2025-07-02 05:56:27,396 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:14:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9931, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 05:56:42,955 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:14:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3303, loss: 0.3303 +2025-07-02 05:56:58,469 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:14:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9919, loss_cls: 0.3760, loss: 0.3760 +2025-07-02 05:57:13,993 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:13:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3202, loss: 0.3202 +2025-07-02 05:57:29,543 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:13:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 05:57:45,129 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:13:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3309, loss: 0.3309 +2025-07-02 05:58:00,774 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:13:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 0.3427, loss: 0.3427 +2025-07-02 05:58:16,442 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:12:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.2991, loss: 0.2991 +2025-07-02 05:58:29,256 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 05:58:52,619 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:58:52,629 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9952 +2025-07-02 05:58:52,630 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9294, top5_acc: 0.9952 +2025-07-02 05:59:30,108 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:12:26, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2568, loss: 0.2568 +2025-07-02 05:59:45,715 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:12:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2686, loss: 0.2686 +2025-07-02 06:00:01,421 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:11:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 06:00:17,093 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:11:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3034, loss: 0.3034 +2025-07-02 06:00:32,732 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:11:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3358, loss: 0.3358 +2025-07-02 06:00:48,328 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:11:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3106, loss: 0.3106 +2025-07-02 06:01:03,902 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:10:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3212, loss: 0.3212 +2025-07-02 06:01:19,473 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:10:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.3077, loss: 0.3077 +2025-07-02 06:01:35,099 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:10:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3698, loss: 0.3698 +2025-07-02 06:01:50,675 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:09:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3480, loss: 0.3480 +2025-07-02 06:02:06,275 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:09:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3519, loss: 0.3519 +2025-07-02 06:02:19,057 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 06:02:42,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:02:42,758 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9941 +2025-07-02 06:02:42,758 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9101, top5_acc: 0.9941 +2025-07-02 06:03:19,958 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:09:16, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2827, loss: 0.2827 +2025-07-02 06:03:35,655 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:08:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.2866, loss: 0.2866 +2025-07-02 06:03:51,330 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:08:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 0.3192, loss: 0.3192 +2025-07-02 06:04:07,031 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:08:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3315, loss: 0.3315 +2025-07-02 06:04:22,733 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:08:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.2963, loss: 0.2963 +2025-07-02 06:04:38,373 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:07:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.3015, loss: 0.3015 +2025-07-02 06:04:53,943 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:07:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.3824, loss: 0.3824 +2025-07-02 06:05:09,498 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:07:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3164, loss: 0.3164 +2025-07-02 06:05:25,039 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:07:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.3140, loss: 0.3140 +2025-07-02 06:05:40,818 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:06:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3703, loss: 0.3703 +2025-07-02 06:05:56,529 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:06:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2989, loss: 0.2989 +2025-07-02 06:06:09,455 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 06:06:33,018 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:06:33,029 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9970 +2025-07-02 06:06:33,030 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9168, top5_acc: 0.9970 +2025-07-02 06:07:10,765 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:06:07, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3183, loss: 0.3183 +2025-07-02 06:07:26,316 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:05:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2705, loss: 0.2705 +2025-07-02 06:07:41,948 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:05:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9938, loss_cls: 0.3081, loss: 0.3081 +2025-07-02 06:07:57,601 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:05:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2447, loss: 0.2447 +2025-07-02 06:08:13,189 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:04:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.3057, loss: 0.3057 +2025-07-02 06:08:28,897 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:04:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3078, loss: 0.3078 +2025-07-02 06:08:44,541 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:04:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 0.2702, loss: 0.2702 +2025-07-02 06:09:00,098 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:04:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 06:09:15,673 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:03:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3168, loss: 0.3168 +2025-07-02 06:09:31,379 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:03:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.2985, loss: 0.2985 +2025-07-02 06:09:47,070 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:03:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4258, loss: 0.4258 +2025-07-02 06:09:59,926 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 06:10:23,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:10:23,615 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9956 +2025-07-02 06:10:23,616 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9216, top5_acc: 0.9956 +2025-07-02 06:11:01,321 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:02:57, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3263, loss: 0.3263 +2025-07-02 06:11:16,943 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:02:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3271, loss: 0.3271 +2025-07-02 06:11:32,565 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:02:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9944, loss_cls: 0.2652, loss: 0.2652 +2025-07-02 06:11:48,241 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:02:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2929, loss: 0.2929 +2025-07-02 06:12:03,858 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:01:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2785, loss: 0.2785 +2025-07-02 06:12:19,466 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:01:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 06:12:35,053 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 4:01:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 06:12:50,651 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 4:00:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3338, loss: 0.3338 +2025-07-02 06:13:06,229 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 4:00:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 06:13:22,075 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 4:00:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2989, loss: 0.2989 +2025-07-02 06:13:37,723 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 4:00:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.3037, loss: 0.3037 +2025-07-02 06:13:50,453 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 06:14:13,633 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:14:13,643 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9959 +2025-07-02 06:14:13,644 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9249, top5_acc: 0.9959 +2025-07-02 06:14:50,948 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:59:46, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2491, loss: 0.2491 +2025-07-02 06:15:06,590 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:59:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 06:15:22,214 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:59:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2893, loss: 0.2893 +2025-07-02 06:15:37,809 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:58:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3202, loss: 0.3202 +2025-07-02 06:15:53,405 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:58:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.2998, loss: 0.2998 +2025-07-02 06:16:09,013 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:58:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2450, loss: 0.2450 +2025-07-02 06:16:24,580 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:58:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 06:16:40,179 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:57:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2857, loss: 0.2857 +2025-07-02 06:16:55,770 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:57:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3075, loss: 0.3075 +2025-07-02 06:17:11,420 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:57:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3078, loss: 0.3078 +2025-07-02 06:17:27,023 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:56:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3361, loss: 0.3361 +2025-07-02 06:17:39,772 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 06:18:02,397 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:18:02,407 - pyskl - INFO - +top1_acc 0.9105 +top5_acc 0.9933 +2025-07-02 06:18:02,407 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9105, top5_acc: 0.9933 +2025-07-02 06:18:39,326 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:56:35, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2822, loss: 0.2822 +2025-07-02 06:18:54,908 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:56:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.2999, loss: 0.2999 +2025-07-02 06:19:10,534 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:56:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2875, loss: 0.2875 +2025-07-02 06:19:26,161 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:55:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3067, loss: 0.3067 +2025-07-02 06:19:41,839 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:55:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.2752, loss: 0.2752 +2025-07-02 06:19:57,530 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:55:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3152, loss: 0.3152 +2025-07-02 06:20:13,142 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:54:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2310, loss: 0.2310 +2025-07-02 06:20:28,707 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:54:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2594, loss: 0.2594 +2025-07-02 06:20:44,336 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:54:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2756, loss: 0.2756 +2025-07-02 06:21:00,117 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:54:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2816, loss: 0.2816 +2025-07-02 06:21:15,753 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:53:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3170, loss: 0.3170 +2025-07-02 06:21:28,567 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 06:21:51,646 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:21:51,656 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9948 +2025-07-02 06:21:51,657 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9223, top5_acc: 0.9948 +2025-07-02 06:22:28,869 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:53:25, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2575, loss: 0.2575 +2025-07-02 06:22:44,484 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:53:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2735, loss: 0.2735 +2025-07-02 06:23:00,085 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:52:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2929, loss: 0.2929 +2025-07-02 06:23:15,767 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:52:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3100, loss: 0.3100 +2025-07-02 06:23:31,435 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:52:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9919, loss_cls: 0.3200, loss: 0.3200 +2025-07-02 06:23:47,036 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:52:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9912, loss_cls: 0.3250, loss: 0.3250 +2025-07-02 06:24:02,658 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:51:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2323, loss: 0.2323 +2025-07-02 06:24:18,262 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:51:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.2815, loss: 0.2815 +2025-07-02 06:24:33,793 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:51:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9944, loss_cls: 0.2846, loss: 0.2846 +2025-07-02 06:24:49,551 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:50:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3390, loss: 0.3390 +2025-07-02 06:25:05,253 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:50:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3351, loss: 0.3351 +2025-07-02 06:25:18,010 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 06:25:40,990 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:25:41,000 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9963 +2025-07-02 06:25:41,000 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9209, top5_acc: 0.9963 +2025-07-02 06:26:18,271 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:50:14, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2367, loss: 0.2367 +2025-07-02 06:26:33,836 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:49:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.3051, loss: 0.3051 +2025-07-02 06:26:49,333 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:49:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3187, loss: 0.3187 +2025-07-02 06:27:05,008 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:49:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2506, loss: 0.2506 +2025-07-02 06:27:20,822 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:49:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2727, loss: 0.2727 +2025-07-02 06:27:36,636 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:48:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3345, loss: 0.3345 +2025-07-02 06:27:52,311 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:48:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2864, loss: 0.2864 +2025-07-02 06:28:07,887 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:48:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3148, loss: 0.3148 +2025-07-02 06:28:23,493 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:47:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3346, loss: 0.3346 +2025-07-02 06:28:39,258 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:47:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2883, loss: 0.2883 +2025-07-02 06:28:55,022 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:47:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3105, loss: 0.3105 +2025-07-02 06:29:07,941 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 06:29:31,023 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:29:31,033 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9963 +2025-07-02 06:29:31,037 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_66.pth was removed +2025-07-02 06:29:31,156 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-02 06:29:31,157 - pyskl - INFO - Best top1_acc is 0.9375 at 79 epoch. +2025-07-02 06:29:31,158 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9375, top5_acc: 0.9963 +2025-07-02 06:30:08,142 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:47:03, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2745, loss: 0.2745 +2025-07-02 06:30:23,721 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:46:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2307, loss: 0.2307 +2025-07-02 06:30:39,364 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:46:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2681, loss: 0.2681 +2025-07-02 06:30:54,945 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:46:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3035, loss: 0.3035 +2025-07-02 06:31:10,558 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:45:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2739, loss: 0.2739 +2025-07-02 06:31:26,153 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:45:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2704, loss: 0.2704 +2025-07-02 06:31:41,785 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:45:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2447, loss: 0.2447 +2025-07-02 06:31:57,384 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:45:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2834, loss: 0.2834 +2025-07-02 06:32:12,970 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:44:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9925, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 06:32:28,690 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:44:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9919, loss_cls: 0.2895, loss: 0.2895 +2025-07-02 06:32:44,483 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:44:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3085, loss: 0.3085 +2025-07-02 06:32:57,246 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 06:33:20,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:33:20,103 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9941 +2025-07-02 06:33:20,104 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9161, top5_acc: 0.9941 +2025-07-02 06:33:57,049 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:43:52, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2795, loss: 0.2795 +2025-07-02 06:34:12,680 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:43:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 06:34:28,294 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:43:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2655, loss: 0.2655 +2025-07-02 06:34:43,952 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:43:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2693, loss: 0.2693 +2025-07-02 06:34:59,562 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:42:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3274, loss: 0.3274 +2025-07-02 06:35:15,169 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:42:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 06:35:30,792 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:42:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2903, loss: 0.2903 +2025-07-02 06:35:46,392 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:41:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2610, loss: 0.2610 +2025-07-02 06:36:01,980 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:41:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3113, loss: 0.3113 +2025-07-02 06:36:17,672 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:41:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2587, loss: 0.2587 +2025-07-02 06:36:33,361 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:41:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9919, loss_cls: 0.2806, loss: 0.2806 +2025-07-02 06:36:46,114 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 06:37:08,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:37:08,901 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9963 +2025-07-02 06:37:08,901 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9349, top5_acc: 0.9963 +2025-07-02 06:37:46,460 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:40:42, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2344, loss: 0.2344 +2025-07-02 06:38:02,352 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:40:25, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2304, loss: 0.2304 +2025-07-02 06:38:18,106 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:40:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 0.2657, loss: 0.2657 +2025-07-02 06:38:33,770 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:39:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2339, loss: 0.2339 +2025-07-02 06:38:49,469 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:39:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2962, loss: 0.2962 +2025-07-02 06:39:05,007 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:39:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2408, loss: 0.2408 +2025-07-02 06:39:20,478 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:39:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2518, loss: 0.2518 +2025-07-02 06:39:35,991 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:38:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2623, loss: 0.2623 +2025-07-02 06:39:51,548 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:38:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9950, loss_cls: 0.2489, loss: 0.2489 +2025-07-02 06:40:07,200 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:38:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2708, loss: 0.2708 +2025-07-02 06:40:22,796 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:37:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 06:40:35,527 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 06:40:57,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:40:57,941 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9948 +2025-07-02 06:40:57,942 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9220, top5_acc: 0.9948 +2025-07-02 06:41:34,775 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:37:30, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 06:41:50,364 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:37:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2526, loss: 0.2526 +2025-07-02 06:42:06,022 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:36:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9931, loss_cls: 0.3032, loss: 0.3032 +2025-07-02 06:42:21,714 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:36:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3015, loss: 0.3015 +2025-07-02 06:42:37,365 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:36:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2160, loss: 0.2160 +2025-07-02 06:42:53,051 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:36:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2665, loss: 0.2665 +2025-07-02 06:43:08,739 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:35:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.2876, loss: 0.2876 +2025-07-02 06:43:24,375 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:35:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2623, loss: 0.2623 +2025-07-02 06:43:39,994 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:35:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9938, loss_cls: 0.2933, loss: 0.2933 +2025-07-02 06:43:55,690 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:34:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9919, loss_cls: 0.3194, loss: 0.3194 +2025-07-02 06:44:11,317 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:34:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 0.2860, loss: 0.2860 +2025-07-02 06:44:24,254 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 06:44:47,183 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:44:47,193 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9919 +2025-07-02 06:44:47,198 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_79.pth was removed +2025-07-02 06:44:47,311 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. +2025-07-02 06:44:47,312 - pyskl - INFO - Best top1_acc is 0.9386 at 83 epoch. +2025-07-02 06:44:47,313 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9386, top5_acc: 0.9919 +2025-07-02 06:45:24,181 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:34:19, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2199, loss: 0.2199 +2025-07-02 06:45:39,761 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:34:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2252, loss: 0.2252 +2025-07-02 06:45:55,489 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:33:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2507, loss: 0.2507 +2025-07-02 06:46:11,122 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:33:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2533, loss: 0.2533 +2025-07-02 06:46:26,816 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:33:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2440, loss: 0.2440 +2025-07-02 06:46:42,550 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:32:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9944, loss_cls: 0.2405, loss: 0.2405 +2025-07-02 06:46:58,373 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:32:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2321, loss: 0.2321 +2025-07-02 06:47:14,042 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:32:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2790, loss: 0.2790 +2025-07-02 06:47:29,701 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:32:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 06:47:45,395 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:31:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2656, loss: 0.2656 +2025-07-02 06:48:01,034 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:31:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2555, loss: 0.2555 +2025-07-02 06:48:13,807 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 06:48:36,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:48:36,788 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9945 +2025-07-02 06:48:36,789 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9112, top5_acc: 0.9945 +2025-07-02 06:49:13,254 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:31:08, time: 0.365, data_time: 0.203, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2065, loss: 0.2065 +2025-07-02 06:49:28,844 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:30:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2084, loss: 0.2084 +2025-07-02 06:49:44,662 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:30:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.2821, loss: 0.2821 +2025-07-02 06:50:00,301 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:30:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.2794, loss: 0.2794 +2025-07-02 06:50:15,917 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:30:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2914, loss: 0.2914 +2025-07-02 06:50:31,625 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:29:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 0.2698, loss: 0.2698 +2025-07-02 06:50:47,300 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:29:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2254, loss: 0.2254 +2025-07-02 06:51:02,905 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:29:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2357, loss: 0.2357 +2025-07-02 06:51:18,509 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:28:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2987, loss: 0.2987 +2025-07-02 06:51:34,170 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:28:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2782, loss: 0.2782 +2025-07-02 06:51:49,750 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:28:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2802, loss: 0.2802 +2025-07-02 06:52:02,452 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 06:52:25,085 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:52:25,095 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9889 +2025-07-02 06:52:25,096 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9257, top5_acc: 0.9889 +2025-07-02 06:53:01,992 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:27:57, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2342, loss: 0.2342 +2025-07-02 06:53:17,601 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:27:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2347, loss: 0.2347 +2025-07-02 06:53:33,284 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:27:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2966, loss: 0.2966 +2025-07-02 06:53:49,019 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:27:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.2836, loss: 0.2836 +2025-07-02 06:54:04,718 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:26:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 0.2683, loss: 0.2683 +2025-07-02 06:54:20,395 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:26:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2237, loss: 0.2237 +2025-07-02 06:54:35,972 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:26:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2587, loss: 0.2587 +2025-07-02 06:54:51,602 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:25:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9944, loss_cls: 0.2532, loss: 0.2532 +2025-07-02 06:55:07,149 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:25:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2083, loss: 0.2083 +2025-07-02 06:55:22,879 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:25:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3012, loss: 0.3012 +2025-07-02 06:55:38,713 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:25:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2791, loss: 0.2791 +2025-07-02 06:55:51,595 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 06:56:14,114 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:56:14,124 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9963 +2025-07-02 06:56:14,125 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9331, top5_acc: 0.9963 +2025-07-02 06:56:50,869 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:24:45, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2358, loss: 0.2358 +2025-07-02 06:57:06,484 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:24:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2282, loss: 0.2282 +2025-07-02 06:57:22,152 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:24:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 06:57:37,756 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:23:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2292, loss: 0.2292 +2025-07-02 06:57:53,481 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:23:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2120, loss: 0.2120 +2025-07-02 06:58:09,101 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:23:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2614, loss: 0.2614 +2025-07-02 06:58:24,797 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:23:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2528, loss: 0.2528 +2025-07-02 06:58:40,465 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:22:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 06:58:56,130 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:22:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2299, loss: 0.2299 +2025-07-02 06:59:11,831 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:22:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2299, loss: 0.2299 +2025-07-02 06:59:27,481 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:21:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2391, loss: 0.2391 +2025-07-02 06:59:40,358 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 07:00:03,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:00:03,068 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9963 +2025-07-02 07:00:03,068 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9301, top5_acc: 0.9963 +2025-07-02 07:00:39,981 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:21:34, time: 0.369, data_time: 0.208, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2167, loss: 0.2167 +2025-07-02 07:00:55,659 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:21:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1972, loss: 0.1972 +2025-07-02 07:01:11,383 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:21:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2104, loss: 0.2104 +2025-07-02 07:01:27,047 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:20:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2320, loss: 0.2320 +2025-07-02 07:01:42,775 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:20:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2253, loss: 0.2253 +2025-07-02 07:01:58,459 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:20:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9919, loss_cls: 0.2696, loss: 0.2696 +2025-07-02 07:02:14,188 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:19:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2669, loss: 0.2669 +2025-07-02 07:02:29,770 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:19:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2533, loss: 0.2533 +2025-07-02 07:02:45,383 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:19:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2294, loss: 0.2294 +2025-07-02 07:03:01,056 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:19:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2491, loss: 0.2491 +2025-07-02 07:03:16,881 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:18:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3138, loss: 0.3138 +2025-07-02 07:03:29,717 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 07:03:52,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:03:52,674 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9970 +2025-07-02 07:03:52,675 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9345, top5_acc: 0.9970 +2025-07-02 07:04:29,261 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:18:23, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 07:04:44,862 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:18:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2448, loss: 0.2448 +2025-07-02 07:05:00,552 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:17:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2433, loss: 0.2433 +2025-07-02 07:05:16,247 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:17:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2092, loss: 0.2092 +2025-07-02 07:05:31,940 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:17:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2557, loss: 0.2557 +2025-07-02 07:05:47,570 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:16:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2148, loss: 0.2148 +2025-07-02 07:06:03,146 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:16:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2222, loss: 0.2222 +2025-07-02 07:06:18,740 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:16:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9938, loss_cls: 0.2546, loss: 0.2546 +2025-07-02 07:06:34,307 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:16:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2632, loss: 0.2632 +2025-07-02 07:06:49,963 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:15:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2812, loss: 0.2812 +2025-07-02 07:07:05,567 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:15:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3012, loss: 0.3012 +2025-07-02 07:07:18,330 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 07:07:40,999 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:07:41,009 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9933 +2025-07-02 07:07:41,009 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9386, top5_acc: 0.9933 +2025-07-02 07:08:18,352 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:15:11, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2469, loss: 0.2469 +2025-07-02 07:08:33,958 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:14:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1895, loss: 0.1895 +2025-07-02 07:08:49,678 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:14:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 07:09:05,262 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:14:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1901, loss: 0.1901 +2025-07-02 07:09:20,800 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:14:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2167, loss: 0.2167 +2025-07-02 07:09:36,289 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:13:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2054, loss: 0.2054 +2025-07-02 07:09:51,790 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:13:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2314, loss: 0.2314 +2025-07-02 07:10:07,259 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:13:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2275, loss: 0.2275 +2025-07-02 07:10:22,763 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:12:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 07:10:38,440 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:12:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2591, loss: 0.2591 +2025-07-02 07:10:54,237 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:12:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2390, loss: 0.2390 +2025-07-02 07:11:07,120 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 07:11:30,108 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:11:30,119 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9926 +2025-07-02 07:11:30,119 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9382, top5_acc: 0.9926 +2025-07-02 07:12:07,673 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:12:00, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2191, loss: 0.2191 +2025-07-02 07:12:23,273 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:11:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1908, loss: 0.1908 +2025-07-02 07:12:39,048 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:11:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2117, loss: 0.2117 +2025-07-02 07:12:54,689 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:11:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1636, loss: 0.1636 +2025-07-02 07:13:10,431 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:10:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2212, loss: 0.2212 +2025-07-02 07:13:25,966 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:10:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2619, loss: 0.2619 +2025-07-02 07:13:41,544 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:10:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2355, loss: 0.2355 +2025-07-02 07:13:57,104 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:10:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2406, loss: 0.2406 +2025-07-02 07:14:12,679 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:09:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2242, loss: 0.2242 +2025-07-02 07:14:28,391 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:09:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9950, loss_cls: 0.2266, loss: 0.2266 +2025-07-02 07:14:43,963 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:09:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9900, loss_cls: 0.2369, loss: 0.2369 +2025-07-02 07:14:56,759 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 07:15:19,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:15:19,636 - pyskl - INFO - +top1_acc 0.9316 +top5_acc 0.9963 +2025-07-02 07:15:19,636 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9316, top5_acc: 0.9963 +2025-07-02 07:15:57,207 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:08:49, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.2149, loss: 0.2149 +2025-07-02 07:16:12,812 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:08:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1969, loss: 0.1969 +2025-07-02 07:16:28,691 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:08:15, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2093, loss: 0.2093 +2025-07-02 07:16:44,298 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:07:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1834, loss: 0.1834 +2025-07-02 07:16:59,866 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:07:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1711, loss: 0.1711 +2025-07-02 07:17:15,479 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:07:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2119, loss: 0.2119 +2025-07-02 07:17:31,053 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:07:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1946, loss: 0.1946 +2025-07-02 07:17:46,644 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:06:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2131, loss: 0.2131 +2025-07-02 07:18:02,287 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:06:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1911, loss: 0.1911 +2025-07-02 07:18:17,955 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:06:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9931, loss_cls: 0.2257, loss: 0.2257 +2025-07-02 07:18:33,657 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:06:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2425, loss: 0.2425 +2025-07-02 07:18:46,492 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 07:19:10,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:19:10,115 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9959 +2025-07-02 07:19:10,116 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9349, top5_acc: 0.9959 +2025-07-02 07:19:47,587 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:05:37, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.2074, loss: 0.2074 +2025-07-02 07:20:03,274 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:05:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1703, loss: 0.1703 +2025-07-02 07:20:19,008 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:05:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 07:20:34,576 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:04:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2175, loss: 0.2175 +2025-07-02 07:20:50,160 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.1934, loss: 0.1934 +2025-07-02 07:21:05,748 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:04:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2470, loss: 0.2470 +2025-07-02 07:21:21,313 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:03:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1829, loss: 0.1829 +2025-07-02 07:21:36,860 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:03:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2456, loss: 0.2456 +2025-07-02 07:21:52,455 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:03:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2074, loss: 0.2074 +2025-07-02 07:22:08,197 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:03:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2589, loss: 0.2589 +2025-07-02 07:22:23,889 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:02:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1985, loss: 0.1985 +2025-07-02 07:22:36,857 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 07:23:00,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:23:00,688 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9967 +2025-07-02 07:23:00,689 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9257, top5_acc: 0.9967 +2025-07-02 07:23:37,950 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:02:26, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1785, loss: 0.1785 +2025-07-02 07:23:53,602 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:02:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1688, loss: 0.1688 +2025-07-02 07:24:09,445 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:01:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2105, loss: 0.2105 +2025-07-02 07:24:25,242 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:01:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1542, loss: 0.1542 +2025-07-02 07:24:40,927 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:01:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9950, loss_cls: 0.1709, loss: 0.1709 +2025-07-02 07:24:56,522 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:01:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.2065, loss: 0.2065 +2025-07-02 07:25:12,138 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 3:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1831, loss: 0.1831 +2025-07-02 07:25:27,819 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 3:00:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1970, loss: 0.1970 +2025-07-02 07:25:43,509 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 3:00:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2240, loss: 0.2240 +2025-07-02 07:25:59,176 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:59:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2080, loss: 0.2080 +2025-07-02 07:26:14,932 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:59:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2051, loss: 0.2051 +2025-07-02 07:26:27,909 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 07:26:50,924 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:26:50,935 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9959 +2025-07-02 07:26:50,935 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9127, top5_acc: 0.9959 +2025-07-02 07:27:28,140 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:59:14, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1824, loss: 0.1824 +2025-07-02 07:27:43,745 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:58:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1795, loss: 0.1795 +2025-07-02 07:27:59,505 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:58:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1583, loss: 0.1583 +2025-07-02 07:28:15,264 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:58:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2217, loss: 0.2217 +2025-07-02 07:28:30,928 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:58:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1931, loss: 0.1931 +2025-07-02 07:28:46,562 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:57:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 07:29:02,285 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:57:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9950, loss_cls: 0.1973, loss: 0.1973 +2025-07-02 07:29:18,111 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:57:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1797, loss: 0.1797 +2025-07-02 07:29:33,915 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:57:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1560, loss: 0.1560 +2025-07-02 07:29:49,608 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:56:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9944, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 07:30:05,218 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:56:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2299, loss: 0.2299 +2025-07-02 07:30:17,928 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 07:30:40,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:30:40,925 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9937 +2025-07-02 07:30:40,925 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9334, top5_acc: 0.9937 +2025-07-02 07:31:18,473 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:56:03, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9950, loss_cls: 0.1758, loss: 0.1758 +2025-07-02 07:31:34,084 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1886, loss: 0.1886 +2025-07-02 07:31:49,714 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:55:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 07:32:05,274 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:55:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1935, loss: 0.1935 +2025-07-02 07:32:20,932 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:54:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2003, loss: 0.2003 +2025-07-02 07:32:36,497 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:54:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1635, loss: 0.1635 +2025-07-02 07:32:52,061 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:54:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.2041, loss: 0.2041 +2025-07-02 07:33:07,644 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:54:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 07:33:23,220 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:53:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2075, loss: 0.2075 +2025-07-02 07:33:38,879 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:53:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2010, loss: 0.2010 +2025-07-02 07:33:54,502 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:53:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1795, loss: 0.1795 +2025-07-02 07:34:07,201 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 07:34:29,973 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:34:29,983 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9952 +2025-07-02 07:34:29,984 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9312, top5_acc: 0.9952 +2025-07-02 07:35:07,518 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:52:52, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1744, loss: 0.1744 +2025-07-02 07:35:23,238 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:52:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2099, loss: 0.2099 +2025-07-02 07:35:38,882 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:52:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1868, loss: 0.1868 +2025-07-02 07:35:54,526 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:52:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 07:36:10,113 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1793, loss: 0.1793 +2025-07-02 07:36:25,723 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:51:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2312, loss: 0.2312 +2025-07-02 07:36:41,296 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:51:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9950, loss_cls: 0.2133, loss: 0.2133 +2025-07-02 07:36:56,884 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:50:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2060, loss: 0.2060 +2025-07-02 07:37:12,469 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:50:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2099, loss: 0.2099 +2025-07-02 07:37:28,129 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:50:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 0.1703, loss: 0.1703 +2025-07-02 07:37:43,812 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:50:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1808, loss: 0.1808 +2025-07-02 07:37:56,694 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 07:38:19,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:38:19,774 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9963 +2025-07-02 07:38:19,777 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_83.pth was removed +2025-07-02 07:38:19,891 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-07-02 07:38:19,892 - pyskl - INFO - Best top1_acc is 0.9412 at 97 epoch. +2025-07-02 07:38:19,892 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9412, top5_acc: 0.9963 +2025-07-02 07:38:57,504 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:49:40, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1726, loss: 0.1726 +2025-07-02 07:39:13,180 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:49:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1710, loss: 0.1710 +2025-07-02 07:39:28,717 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:49:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1803, loss: 0.1803 +2025-07-02 07:39:44,275 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:48:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1867, loss: 0.1867 +2025-07-02 07:39:59,850 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:48:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1862, loss: 0.1862 +2025-07-02 07:40:15,341 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:48:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1517, loss: 0.1517 +2025-07-02 07:40:30,945 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:48:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1805, loss: 0.1805 +2025-07-02 07:40:46,560 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1986, loss: 0.1986 +2025-07-02 07:41:02,090 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:47:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1774, loss: 0.1774 +2025-07-02 07:41:17,636 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:47:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1999, loss: 0.1999 +2025-07-02 07:41:33,320 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:46:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 0.1697, loss: 0.1697 +2025-07-02 07:41:46,222 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 07:42:09,237 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:42:09,247 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9959 +2025-07-02 07:42:09,251 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_97.pth was removed +2025-07-02 07:42:09,371 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 07:42:09,372 - pyskl - INFO - Best top1_acc is 0.9438 at 98 epoch. +2025-07-02 07:42:09,373 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9438, top5_acc: 0.9959 +2025-07-02 07:42:46,889 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:46:28, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9956, loss_cls: 0.1999, loss: 0.1999 +2025-07-02 07:43:02,547 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:46:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1345, loss: 0.1345 +2025-07-02 07:43:18,184 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:45:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 07:43:33,981 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:45:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1897, loss: 0.1897 +2025-07-02 07:43:49,660 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:45:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 07:44:05,319 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:45:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2165, loss: 0.2165 +2025-07-02 07:44:20,969 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:44:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1611, loss: 0.1611 +2025-07-02 07:44:36,619 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:44:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2077, loss: 0.2077 +2025-07-02 07:44:52,254 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:44:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1817, loss: 0.1817 +2025-07-02 07:45:07,881 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:43:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 0.2155, loss: 0.2155 +2025-07-02 07:45:23,593 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:43:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9950, loss_cls: 0.1942, loss: 0.1942 +2025-07-02 07:45:36,493 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 07:45:59,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:45:59,146 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9948 +2025-07-02 07:45:59,146 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9360, top5_acc: 0.9948 +2025-07-02 07:46:36,044 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:43:16, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1563, loss: 0.1563 +2025-07-02 07:46:51,722 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:43:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1631, loss: 0.1631 +2025-07-02 07:47:07,395 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1493, loss: 0.1493 +2025-07-02 07:47:23,043 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:42:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1561, loss: 0.1561 +2025-07-02 07:47:38,562 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:42:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1619, loss: 0.1619 +2025-07-02 07:47:54,063 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:41:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1811, loss: 0.1811 +2025-07-02 07:48:09,550 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:41:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1230, loss: 0.1230 +2025-07-02 07:48:25,069 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:41:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1836, loss: 0.1836 +2025-07-02 07:48:40,586 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:41:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1589, loss: 0.1589 +2025-07-02 07:48:56,342 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1480, loss: 0.1480 +2025-07-02 07:49:11,950 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:40:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1809, loss: 0.1809 +2025-07-02 07:49:24,768 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 07:49:47,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:49:47,971 - pyskl - INFO - +top1_acc 0.9305 +top5_acc 0.9967 +2025-07-02 07:49:47,972 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9305, top5_acc: 0.9967 +2025-07-02 07:50:25,054 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:40:04, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1276, loss: 0.1276 +2025-07-02 07:50:40,742 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 07:50:56,445 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:39:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1622, loss: 0.1622 +2025-07-02 07:51:12,032 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:39:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1383, loss: 0.1383 +2025-07-02 07:51:27,595 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:38:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.1905, loss: 0.1905 +2025-07-02 07:51:43,157 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2082, loss: 0.2082 +2025-07-02 07:51:58,765 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:38:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1728, loss: 0.1728 +2025-07-02 07:52:14,357 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:38:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1500, loss: 0.1500 +2025-07-02 07:52:29,970 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:37:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1371, loss: 0.1371 +2025-07-02 07:52:45,634 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:37:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1802, loss: 0.1802 +2025-07-02 07:53:01,342 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:37:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 07:53:14,167 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 07:53:37,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:53:37,280 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9963 +2025-07-02 07:53:37,280 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9379, top5_acc: 0.9963 +2025-07-02 07:54:14,303 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:36:52, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1539, loss: 0.1539 +2025-07-02 07:54:30,240 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:36:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1537, loss: 0.1537 +2025-07-02 07:54:46,114 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:36:19, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1487, loss: 0.1487 +2025-07-02 07:55:01,941 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:36:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 0.2101, loss: 0.2101 +2025-07-02 07:55:17,582 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 07:55:33,202 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:35:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1713, loss: 0.1713 +2025-07-02 07:55:48,821 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:35:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1806, loss: 0.1806 +2025-07-02 07:56:04,432 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:34:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1913, loss: 0.1913 +2025-07-02 07:56:20,034 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1623, loss: 0.1623 +2025-07-02 07:56:35,679 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:34:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9950, loss_cls: 0.1854, loss: 0.1854 +2025-07-02 07:56:51,474 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:34:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2079, loss: 0.2079 +2025-07-02 07:57:04,495 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 07:57:27,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:57:27,824 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9959 +2025-07-02 07:57:27,828 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_98.pth was removed +2025-07-02 07:57:27,951 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2025-07-02 07:57:27,952 - pyskl - INFO - Best top1_acc is 0.9442 at 102 epoch. +2025-07-02 07:57:27,953 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9442, top5_acc: 0.9959 +2025-07-02 07:58:05,268 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:41, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1837, loss: 0.1837 +2025-07-02 07:58:20,911 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:33:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1780, loss: 0.1780 +2025-07-02 07:58:36,554 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:33:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1757, loss: 0.1757 +2025-07-02 07:58:52,149 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:32:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1469, loss: 0.1469 +2025-07-02 07:59:07,733 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:32:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1726, loss: 0.1726 +2025-07-02 07:59:23,327 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:32:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1605, loss: 0.1605 +2025-07-02 07:59:38,890 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:32:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1790, loss: 0.1790 +2025-07-02 07:59:54,482 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1519, loss: 0.1519 +2025-07-02 08:00:10,074 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:31:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1619, loss: 0.1619 +2025-07-02 08:00:25,817 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:31:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9950, loss_cls: 0.2156, loss: 0.2156 +2025-07-02 08:00:41,431 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:30:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1648, loss: 0.1648 +2025-07-02 08:00:54,221 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 08:01:17,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:01:17,514 - pyskl - INFO - +top1_acc 0.9390 +top5_acc 0.9959 +2025-07-02 08:01:17,514 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9390, top5_acc: 0.9959 +2025-07-02 08:01:54,886 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:30:29, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1534, loss: 0.1534 +2025-07-02 08:02:10,532 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:30:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1518, loss: 0.1518 +2025-07-02 08:02:26,121 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1682, loss: 0.1682 +2025-07-02 08:02:41,688 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1451, loss: 0.1451 +2025-07-02 08:02:57,291 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:29:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9962, loss_cls: 0.1445, loss: 0.1445 +2025-07-02 08:03:12,886 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:29:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1488, loss: 0.1488 +2025-07-02 08:03:28,482 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:28:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1571, loss: 0.1571 +2025-07-02 08:03:44,076 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:28:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1366, loss: 0.1366 +2025-07-02 08:03:59,835 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:28:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1786, loss: 0.1786 +2025-07-02 08:04:15,538 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2093, loss: 0.2093 +2025-07-02 08:04:31,209 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1656, loss: 0.1656 +2025-07-02 08:04:43,934 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 08:05:06,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:05:06,888 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9922 +2025-07-02 08:05:06,888 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9345, top5_acc: 0.9922 +2025-07-02 08:05:44,237 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:27:17, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1487, loss: 0.1487 +2025-07-02 08:05:59,921 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:27:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1411, loss: 0.1411 +2025-07-02 08:06:15,542 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 08:06:31,177 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:26:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1091, loss: 0.1091 +2025-07-02 08:06:46,819 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:26:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1862, loss: 0.1862 +2025-07-02 08:07:02,446 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:25:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9962, loss_cls: 0.1573, loss: 0.1573 +2025-07-02 08:07:18,087 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1356, loss: 0.1356 +2025-07-02 08:07:33,745 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:25:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1588, loss: 0.1588 +2025-07-02 08:07:49,365 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:25:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 08:08:04,927 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1609, loss: 0.1609 +2025-07-02 08:08:20,615 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:24:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1529, loss: 0.1529 +2025-07-02 08:08:33,434 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 08:08:56,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:08:56,604 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9959 +2025-07-02 08:08:56,605 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9382, top5_acc: 0.9959 +2025-07-02 08:09:33,480 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:24:05, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1457, loss: 0.1457 +2025-07-02 08:09:49,154 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1165, loss: 0.1165 +2025-07-02 08:10:04,802 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:23:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1571, loss: 0.1571 +2025-07-02 08:10:20,504 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:23:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1492, loss: 0.1492 +2025-07-02 08:10:36,224 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1400, loss: 0.1400 +2025-07-02 08:10:51,931 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1275, loss: 0.1275 +2025-07-02 08:11:07,599 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:22:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1384, loss: 0.1384 +2025-07-02 08:11:23,245 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:22:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1435, loss: 0.1435 +2025-07-02 08:11:38,846 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:21:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1308, loss: 0.1308 +2025-07-02 08:11:54,581 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 08:12:10,393 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:21:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 08:12:23,158 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 08:12:46,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:12:46,062 - pyskl - INFO - +top1_acc 0.9493 +top5_acc 0.9970 +2025-07-02 08:12:46,066 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_102.pth was removed +2025-07-02 08:12:46,192 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-07-02 08:12:46,193 - pyskl - INFO - Best top1_acc is 0.9493 at 106 epoch. +2025-07-02 08:12:46,194 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9493, top5_acc: 0.9970 +2025-07-02 08:13:23,577 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:53, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1307, loss: 0.1307 +2025-07-02 08:13:39,145 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1109, loss: 0.1109 +2025-07-02 08:13:54,723 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:20:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 08:14:10,281 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:20:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1376, loss: 0.1376 +2025-07-02 08:14:25,865 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1287, loss: 0.1287 +2025-07-02 08:14:41,396 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:19:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1305, loss: 0.1305 +2025-07-02 08:14:56,902 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:19:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1499, loss: 0.1499 +2025-07-02 08:15:12,462 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1156, loss: 0.1156 +2025-07-02 08:15:28,023 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1443, loss: 0.1443 +2025-07-02 08:15:43,784 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:18:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1105, loss: 0.1105 +2025-07-02 08:15:59,703 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:18:07, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1483, loss: 0.1483 +2025-07-02 08:16:12,672 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 08:16:35,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:16:35,453 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9952 +2025-07-02 08:16:35,454 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9467, top5_acc: 0.9952 +2025-07-02 08:17:13,196 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:41, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1266, loss: 0.1266 +2025-07-02 08:17:28,768 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:17:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.1009, loss: 0.1009 +2025-07-02 08:17:44,342 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:17:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1107, loss: 0.1107 +2025-07-02 08:17:59,933 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0897, loss: 0.0897 +2025-07-02 08:18:15,499 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9956, loss_cls: 0.1505, loss: 0.1505 +2025-07-02 08:18:31,050 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:16:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1335, loss: 0.1335 +2025-07-02 08:18:46,609 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:16:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1329, loss: 0.1329 +2025-07-02 08:19:02,200 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1270, loss: 0.1270 +2025-07-02 08:19:17,810 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:15:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0906, loss: 0.0906 +2025-07-02 08:19:33,506 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:15:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1319, loss: 0.1319 +2025-07-02 08:19:49,115 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1744, loss: 0.1744 +2025-07-02 08:20:01,858 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 08:20:24,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:20:24,957 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9963 +2025-07-02 08:20:24,957 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9427, top5_acc: 0.9963 +2025-07-02 08:21:02,315 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:14:29, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1061, loss: 0.1061 +2025-07-02 08:21:17,926 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:14:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 08:21:33,497 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1361, loss: 0.1361 +2025-07-02 08:21:49,072 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1083, loss: 0.1083 +2025-07-02 08:22:04,655 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:13:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1379, loss: 0.1379 +2025-07-02 08:22:20,230 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:13:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1397, loss: 0.1397 +2025-07-02 08:22:36,231 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:49, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1398, loss: 0.1398 +2025-07-02 08:22:52,052 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:12:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1342, loss: 0.1342 +2025-07-02 08:23:07,817 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:12:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1139, loss: 0.1139 +2025-07-02 08:23:23,503 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:12:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1581, loss: 0.1581 +2025-07-02 08:23:39,056 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1574, loss: 0.1574 +2025-07-02 08:23:52,085 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 08:24:15,059 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:24:15,070 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9974 +2025-07-02 08:24:15,070 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9460, top5_acc: 0.9974 +2025-07-02 08:24:52,693 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:11:17, time: 0.376, data_time: 0.214, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9956, loss_cls: 0.1373, loss: 0.1373 +2025-07-02 08:25:08,571 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:11:01, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 08:25:24,334 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1600, loss: 0.1600 +2025-07-02 08:25:39,916 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:10:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1487, loss: 0.1487 +2025-07-02 08:25:55,440 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:10:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1193, loss: 0.1193 +2025-07-02 08:26:10,985 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0916, loss: 0.0916 +2025-07-02 08:26:26,534 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1064, loss: 0.1064 +2025-07-02 08:26:42,135 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:09:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1134, loss: 0.1134 +2025-07-02 08:26:57,721 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:09:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1450, loss: 0.1450 +2025-07-02 08:27:13,513 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1124, loss: 0.1124 +2025-07-02 08:27:29,239 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:08:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1276, loss: 0.1276 +2025-07-02 08:27:42,175 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 08:28:04,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:28:04,931 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9978 +2025-07-02 08:28:04,935 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_106.pth was removed +2025-07-02 08:28:05,054 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 08:28:05,054 - pyskl - INFO - Best top1_acc is 0.9508 at 110 epoch. +2025-07-02 08:28:05,055 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9508, top5_acc: 0.9978 +2025-07-02 08:28:42,142 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:08:05, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1192, loss: 0.1192 +2025-07-02 08:28:57,686 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0915, loss: 0.0915 +2025-07-02 08:29:13,306 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:07:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1052, loss: 0.1052 +2025-07-02 08:29:28,932 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:07:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1584, loss: 0.1584 +2025-07-02 08:29:44,587 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 08:30:00,178 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1346, loss: 0.1346 +2025-07-02 08:30:15,793 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:06:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1240, loss: 0.1240 +2025-07-02 08:30:31,433 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:06:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1147, loss: 0.1147 +2025-07-02 08:30:47,113 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1469, loss: 0.1469 +2025-07-02 08:31:02,877 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1304, loss: 0.1304 +2025-07-02 08:31:18,588 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:05:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1167, loss: 0.1167 +2025-07-02 08:31:31,425 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 08:31:54,283 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:31:54,293 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9974 +2025-07-02 08:31:54,294 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9408, top5_acc: 0.9974 +2025-07-02 08:32:31,350 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:53, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1097, loss: 0.1097 +2025-07-02 08:32:46,949 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1016, loss: 0.1016 +2025-07-02 08:33:02,450 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:04:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1166, loss: 0.1166 +2025-07-02 08:33:17,965 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:04:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 08:33:33,495 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 08:33:48,993 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:03:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1112, loss: 0.1112 +2025-07-02 08:34:04,465 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:03:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1134, loss: 0.1134 +2025-07-02 08:34:19,980 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1024, loss: 0.1024 +2025-07-02 08:34:35,518 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1149, loss: 0.1149 +2025-07-02 08:34:51,149 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:02:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 08:35:06,820 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:02:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1204, loss: 0.1204 +2025-07-02 08:35:19,966 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 08:35:42,357 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:35:42,369 - pyskl - INFO - +top1_acc 0.9571 +top5_acc 0.9970 +2025-07-02 08:35:42,373 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_110.pth was removed +2025-07-02 08:35:42,490 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-07-02 08:35:42,491 - pyskl - INFO - Best top1_acc is 0.9571 at 112 epoch. +2025-07-02 08:35:42,492 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9571, top5_acc: 0.9970 +2025-07-02 08:36:19,486 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:40, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0969, loss: 0.0969 +2025-07-02 08:36:35,180 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:01:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9962, loss_cls: 0.1262, loss: 0.1262 +2025-07-02 08:36:50,875 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:01:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 08:37:06,608 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 08:37:22,322 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 08:37:37,957 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 2:00:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 08:37:53,578 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 2:00:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0778, loss: 0.0778 +2025-07-02 08:38:09,208 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9956, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 08:38:24,826 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:59:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 08:38:40,539 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:59:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1129, loss: 0.1129 +2025-07-02 08:38:56,207 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1196, loss: 0.1196 +2025-07-02 08:39:08,999 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 08:39:31,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:39:31,730 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9982 +2025-07-02 08:39:31,731 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9501, top5_acc: 0.9982 +2025-07-02 08:40:09,119 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:58:28, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0958, loss: 0.0958 +2025-07-02 08:40:24,780 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:58:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0987, loss: 0.0987 +2025-07-02 08:40:40,749 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:55, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0889, loss: 0.0889 +2025-07-02 08:40:56,416 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 08:41:12,055 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:57:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 08:41:27,680 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:57:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 08:41:43,295 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0993, loss: 0.0993 +2025-07-02 08:41:58,926 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1181, loss: 0.1181 +2025-07-02 08:42:14,617 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:56:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1085, loss: 0.1085 +2025-07-02 08:42:30,396 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 08:42:46,040 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1586, loss: 0.1586 +2025-07-02 08:42:58,901 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 08:43:21,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:43:21,593 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9974 +2025-07-02 08:43:21,593 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9516, top5_acc: 0.9974 +2025-07-02 08:43:58,891 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:55:16, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0723, loss: 0.0723 +2025-07-02 08:44:14,567 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:55:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 08:44:30,139 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.1067, loss: 0.1067 +2025-07-02 08:44:45,773 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:54:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0976, loss: 0.0976 +2025-07-02 08:45:01,404 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:54:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1274, loss: 0.1274 +2025-07-02 08:45:17,035 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0952, loss: 0.0952 +2025-07-02 08:45:32,697 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1029, loss: 0.1029 +2025-07-02 08:45:48,346 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:53:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.1053, loss: 0.1053 +2025-07-02 08:46:03,980 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:53:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1137, loss: 0.1137 +2025-07-02 08:46:19,659 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1129, loss: 0.1129 +2025-07-02 08:46:35,268 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0970, loss: 0.0970 +2025-07-02 08:46:48,064 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 08:47:11,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:47:11,227 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9978 +2025-07-02 08:47:11,227 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9523, top5_acc: 0.9978 +2025-07-02 08:47:48,691 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:52:04, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0806, loss: 0.0806 +2025-07-02 08:48:04,234 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 08:48:19,758 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0827, loss: 0.0827 +2025-07-02 08:48:35,284 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:51:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1079, loss: 0.1079 +2025-07-02 08:48:50,840 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0785, loss: 0.0785 +2025-07-02 08:49:06,395 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0794, loss: 0.0794 +2025-07-02 08:49:21,956 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:50:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0813, loss: 0.0813 +2025-07-02 08:49:37,521 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:50:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 08:49:53,092 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1059, loss: 0.1059 +2025-07-02 08:50:08,761 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0974, loss: 0.0974 +2025-07-02 08:50:24,519 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:49:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0971, loss: 0.0971 +2025-07-02 08:50:37,371 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 08:51:00,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:51:00,832 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9970 +2025-07-02 08:51:00,832 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9519, top5_acc: 0.9970 +2025-07-02 08:51:38,914 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:52, time: 0.381, data_time: 0.217, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0787, loss: 0.0787 +2025-07-02 08:51:54,634 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0845, loss: 0.0845 +2025-07-02 08:52:10,336 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:48:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0924, loss: 0.0924 +2025-07-02 08:52:26,031 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:48:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 08:52:41,532 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0917, loss: 0.0917 +2025-07-02 08:52:57,034 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 08:53:12,922 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:47:12, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 08:53:28,857 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 08:53:44,453 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1069, loss: 0.1069 +2025-07-02 08:54:00,158 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:46:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1109, loss: 0.1109 +2025-07-02 08:54:15,856 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:46:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1087, loss: 0.1087 +2025-07-02 08:54:28,668 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 08:54:52,376 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:54:52,386 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9982 +2025-07-02 08:54:52,387 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9508, top5_acc: 0.9982 +2025-07-02 08:55:29,590 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:39, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 08:55:45,358 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:45:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0652, loss: 0.0652 +2025-07-02 08:56:00,951 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:45:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0948, loss: 0.0948 +2025-07-02 08:56:16,522 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0771, loss: 0.0771 +2025-07-02 08:56:32,089 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1220, loss: 0.1220 +2025-07-02 08:56:47,684 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:44:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0829, loss: 0.0829 +2025-07-02 08:57:03,313 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:44:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 08:57:18,896 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 08:57:34,690 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9962, loss_cls: 0.1030, loss: 0.1030 +2025-07-02 08:57:50,412 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:43:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0779, loss: 0.0779 +2025-07-02 08:58:06,067 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 08:58:19,107 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 08:58:42,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:58:42,462 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9967 +2025-07-02 08:58:42,463 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9486, top5_acc: 0.9967 +2025-07-02 08:59:20,112 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:27, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0737, loss: 0.0737 +2025-07-02 08:59:35,731 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:42:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0812, loss: 0.0812 +2025-07-02 08:59:51,402 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 09:00:07,030 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 09:00:22,688 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:41:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0829, loss: 0.0829 +2025-07-02 09:00:38,262 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:41:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 09:00:53,932 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0812, loss: 0.0812 +2025-07-02 09:01:09,702 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0878, loss: 0.0878 +2025-07-02 09:01:25,377 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:40:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 09:01:41,111 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0754, loss: 0.0754 +2025-07-02 09:01:56,782 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 09:02:09,648 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 09:02:33,269 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:02:33,280 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9970 +2025-07-02 09:02:33,281 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9527, top5_acc: 0.9970 +2025-07-02 09:03:10,767 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:39:15, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 09:03:26,427 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 09:03:42,040 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.0926, loss: 0.0926 +2025-07-02 09:03:57,722 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 09:04:13,378 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:38:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9962, loss_cls: 0.0890, loss: 0.0890 +2025-07-02 09:04:28,975 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 09:04:44,597 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0785, loss: 0.0785 +2025-07-02 09:05:00,255 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:37:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 09:05:15,904 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:37:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 09:05:31,537 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 09:05:47,308 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 09:06:00,238 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 09:06:23,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:06:23,722 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9967 +2025-07-02 09:06:23,722 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9512, top5_acc: 0.9967 +2025-07-02 09:07:01,465 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:36:03, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0718, loss: 0.0718 +2025-07-02 09:07:17,124 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 09:07:32,709 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 09:07:48,294 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:35:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 09:08:03,898 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0718, loss: 0.0718 +2025-07-02 09:08:19,453 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 09:08:35,041 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:34:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 09:08:50,623 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:34:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0655, loss: 0.0655 +2025-07-02 09:09:06,203 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 09:09:21,782 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0693, loss: 0.0693 +2025-07-02 09:09:37,453 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:33:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0785, loss: 0.0785 +2025-07-02 09:09:50,304 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 09:10:13,575 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:10:13,585 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9963 +2025-07-02 09:10:13,585 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9516, top5_acc: 0.9963 +2025-07-02 09:10:51,141 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:50, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 09:11:06,785 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 09:11:22,417 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:32:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0862, loss: 0.0862 +2025-07-02 09:11:38,014 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:32:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 09:11:53,535 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 09:12:09,074 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 09:12:24,667 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:31:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0672, loss: 0.0672 +2025-07-02 09:12:40,206 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0780, loss: 0.0780 +2025-07-02 09:12:55,779 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 09:13:11,451 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:30:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0828, loss: 0.0828 +2025-07-02 09:13:27,161 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:30:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 09:13:39,937 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 09:14:03,390 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:14:03,400 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9967 +2025-07-02 09:14:03,401 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9549, top5_acc: 0.9967 +2025-07-02 09:14:41,070 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:38, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 09:14:56,651 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:29:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 09:15:12,240 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:29:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 09:15:27,830 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 09:15:43,403 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 09:15:58,973 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:28:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 09:16:14,527 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 09:16:30,108 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.0801, loss: 0.0801 +2025-07-02 09:16:45,722 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0642, loss: 0.0642 +2025-07-02 09:17:01,348 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:27:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0713, loss: 0.0713 +2025-07-02 09:17:17,032 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 09:17:29,997 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 09:17:53,221 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:17:53,231 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9945 +2025-07-02 09:17:53,232 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9434, top5_acc: 0.9945 +2025-07-02 09:18:30,880 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:25, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 09:18:46,368 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:26:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 09:19:01,901 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 09:19:17,462 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 09:19:32,974 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:25:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 09:19:48,564 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:25:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 09:20:04,148 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 09:20:19,763 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 09:20:35,438 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:24:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 09:20:51,233 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0777, loss: 0.0777 +2025-07-02 09:21:06,942 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 09:21:19,722 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 09:21:43,185 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:21:43,197 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9952 +2025-07-02 09:21:43,198 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9375, top5_acc: 0.9952 +2025-07-02 09:22:20,963 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:23:13, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 09:22:36,576 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 09:22:52,186 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0705, loss: 0.0705 +2025-07-02 09:23:07,793 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 09:23:23,392 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:22:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 09:23:38,996 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0589, loss: 0.0589 +2025-07-02 09:23:54,589 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 09:24:10,192 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:21:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0578, loss: 0.0578 +2025-07-02 09:24:25,771 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:21:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 09:24:41,546 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 09:24:57,278 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 09:25:10,105 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 09:25:33,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:25:33,602 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9978 +2025-07-02 09:25:33,602 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9523, top5_acc: 0.9978 +2025-07-02 09:26:11,179 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:20:01, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 09:26:26,728 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0595, loss: 0.0595 +2025-07-02 09:26:42,288 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9975, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 09:26:57,862 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:19:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 09:27:13,469 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0528, loss: 0.0528 +2025-07-02 09:27:29,048 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 09:27:44,665 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 09:28:00,275 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:18:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 09:28:15,909 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0664, loss: 0.0664 +2025-07-02 09:28:31,529 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 09:28:47,119 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:17:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 09:28:59,969 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 09:29:23,345 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:29:23,356 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9978 +2025-07-02 09:29:23,356 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9545, top5_acc: 0.9978 +2025-07-02 09:30:01,084 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:48, time: 0.377, data_time: 0.215, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 09:30:16,797 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 09:30:32,457 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:16:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:30:48,049 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 09:31:03,673 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 09:31:19,320 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 09:31:34,964 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:15:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 09:31:50,710 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0587, loss: 0.0587 +2025-07-02 09:32:06,409 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 09:32:22,200 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 09:32:37,815 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:14:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 09:32:50,716 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 09:33:14,431 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:33:14,441 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9970 +2025-07-02 09:33:14,441 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9545, top5_acc: 0.9970 +2025-07-02 09:33:52,447 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:36, time: 0.380, data_time: 0.221, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0645, loss: 0.0645 +2025-07-02 09:34:07,949 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:13:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 09:34:23,466 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:13:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 09:34:38,989 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 09:34:54,560 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0694, loss: 0.0694 +2025-07-02 09:35:10,125 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:12:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 09:35:25,685 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 09:35:41,260 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0561, loss: 0.0561 +2025-07-02 09:35:56,826 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0710, loss: 0.0710 +2025-07-02 09:36:12,476 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:11:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 09:36:28,216 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 09:36:40,895 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 09:37:04,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:37:04,237 - pyskl - INFO - +top1_acc 0.9497 +top5_acc 0.9959 +2025-07-02 09:37:04,238 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9497, top5_acc: 0.9959 +2025-07-02 09:37:41,746 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:23, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 09:37:57,335 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:10:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 09:38:12,922 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0492, loss: 0.0492 +2025-07-02 09:38:28,591 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 09:38:44,202 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:09:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 09:38:59,941 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:09:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 09:39:15,745 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:39:31,443 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 09:39:47,045 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:08:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 09:40:02,673 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 09:40:18,177 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 09:40:31,045 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 09:40:54,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:40:54,511 - pyskl - INFO - +top1_acc 0.9586 +top5_acc 0.9967 +2025-07-02 09:40:54,514 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_112.pth was removed +2025-07-02 09:40:54,636 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 09:40:54,637 - pyskl - INFO - Best top1_acc is 0.9586 at 129 epoch. +2025-07-02 09:40:54,637 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9586, top5_acc: 0.9967 +2025-07-02 09:41:32,386 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:07:11, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 09:41:47,966 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 09:42:03,569 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 09:42:19,178 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 09:42:34,792 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:06:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 09:42:50,424 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 09:43:06,027 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 09:43:21,640 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:05:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 09:43:37,379 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 09:43:53,159 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 09:44:08,834 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 09:44:21,808 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 09:44:45,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:44:45,353 - pyskl - INFO - +top1_acc 0.9597 +top5_acc 0.9978 +2025-07-02 09:44:45,357 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_129.pth was removed +2025-07-02 09:44:45,481 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-07-02 09:44:45,481 - pyskl - INFO - Best top1_acc is 0.9597 at 130 epoch. +2025-07-02 09:44:45,482 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9597, top5_acc: 0.9978 +2025-07-02 09:45:22,890 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:58, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 09:45:38,565 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0604, loss: 0.0604 +2025-07-02 09:45:54,214 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 09:46:09,855 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:03:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 09:46:25,530 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 09:46:41,184 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 09:46:56,814 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 09:47:12,445 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:02:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 09:47:28,098 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 09:47:43,804 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 09:47:59,574 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:01:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 09:48:12,507 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 09:48:35,826 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:48:35,836 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9959 +2025-07-02 09:48:35,837 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9567, top5_acc: 0.9959 +2025-07-02 09:49:13,484 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:46, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 09:49:29,170 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 09:49:44,822 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 1:00:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 09:50:00,528 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 09:50:16,216 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0570, loss: 0.0570 +2025-07-02 09:50:31,896 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 09:50:47,579 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:59:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 09:51:03,290 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 09:51:18,948 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 09:51:34,582 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 09:51:50,297 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:58:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 09:52:03,205 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 09:52:26,728 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:52:26,739 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9967 +2025-07-02 09:52:26,739 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9545, top5_acc: 0.9967 +2025-07-02 09:53:04,022 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:33, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 09:53:19,604 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 09:53:35,171 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:57:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 09:53:50,727 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 09:54:06,303 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 09:54:21,879 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:56:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 09:54:37,489 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 09:54:53,124 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 09:55:08,758 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 09:55:24,373 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:55:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 09:55:39,935 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 09:55:52,724 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 09:56:16,263 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:56:16,273 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9963 +2025-07-02 09:56:16,274 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9553, top5_acc: 0.9963 +2025-07-02 09:56:54,142 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:20, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 09:57:09,826 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:54:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 09:57:25,423 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 09:57:41,010 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 09:57:56,585 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 09:58:12,143 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 09:58:27,726 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 09:58:43,587 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:25, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 09:58:59,336 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:52:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 09:59:14,997 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 09:59:30,569 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 09:59:43,478 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 10:00:07,439 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:00:07,450 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9982 +2025-07-02 10:00:07,450 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9567, top5_acc: 0.9982 +2025-07-02 10:00:44,589 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:51:08, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 10:01:00,202 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 10:01:15,788 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 10:01:31,362 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 10:01:46,941 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:50:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 10:02:02,529 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 10:02:18,118 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 10:02:33,715 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:49:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 10:02:49,340 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 10:03:05,245 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:40, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 10:03:21,273 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:23, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 10:03:34,315 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 10:03:57,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:03:57,896 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9970 +2025-07-02 10:03:57,897 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9530, top5_acc: 0.9970 +2025-07-02 10:04:35,398 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:55, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:04:50,983 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 10:05:06,572 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 10:05:22,165 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:47:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:05:37,789 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:05:53,336 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 10:06:08,975 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 10:06:24,651 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:46:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 10:06:40,386 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 10:06:56,088 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 10:07:11,694 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:45:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 10:07:24,689 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 10:07:48,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:07:48,432 - pyskl - INFO - +top1_acc 0.9593 +top5_acc 0.9974 +2025-07-02 10:07:48,433 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9593, top5_acc: 0.9974 +2025-07-02 10:08:26,172 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:42, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0156, loss: 0.0156 +2025-07-02 10:08:41,938 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 10:08:57,651 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:44:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:09:13,286 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 10:09:28,916 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:09:44,764 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0175, loss: 0.0175 +2025-07-02 10:10:00,619 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:43:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 10:10:16,266 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:10:32,022 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 10:10:47,930 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:14, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 10:11:03,691 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 10:11:16,694 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 10:11:40,161 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:11:40,172 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9982 +2025-07-02 10:11:40,172 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9578, top5_acc: 0.9982 +2025-07-02 10:12:17,700 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:30, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:12:33,305 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 10:12:48,931 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 10:13:04,595 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:13:20,210 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0173, loss: 0.0173 +2025-07-02 10:13:35,844 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:40:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 10:13:51,448 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 10:14:07,096 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 10:14:22,753 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 10:14:38,409 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:39:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 10:14:54,029 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 10:15:06,976 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 10:15:30,342 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:15:30,353 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9974 +2025-07-02 10:15:30,356 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_130.pth was removed +2025-07-02 10:15:30,476 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-07-02 10:15:30,476 - pyskl - INFO - Best top1_acc is 0.9601 at 138 epoch. +2025-07-02 10:15:30,477 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9601, top5_acc: 0.9974 +2025-07-02 10:16:07,875 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:17, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 10:16:23,438 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:38:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:16:39,066 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 10:16:54,679 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 10:17:10,322 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 10:17:25,944 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 10:17:41,552 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 10:17:57,198 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 10:18:12,834 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:36:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 10:18:28,520 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 +2025-07-02 10:18:44,116 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 10:18:56,836 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 10:19:20,401 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:19:20,411 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9978 +2025-07-02 10:19:20,412 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9560, top5_acc: 0.9978 +2025-07-02 10:19:58,239 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:35:04, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 10:20:13,949 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 10:20:29,631 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 10:20:45,269 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:21:00,870 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:21:16,477 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:21:32,074 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 10:21:47,690 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 10:22:03,357 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 10:22:19,086 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 10:22:34,879 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:22:47,703 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 10:23:10,947 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:23:10,957 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9978 +2025-07-02 10:23:10,961 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_138.pth was removed +2025-07-02 10:23:11,080 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-07-02 10:23:11,081 - pyskl - INFO - Best top1_acc is 0.9604 at 140 epoch. +2025-07-02 10:23:11,082 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9604, top5_acc: 0.9978 +2025-07-02 10:23:48,327 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:52, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 10:24:04,046 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 10:24:19,627 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 10:24:35,235 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:31:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:24:50,829 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 10:25:06,453 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:25:22,115 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 10:25:37,766 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 10:25:53,440 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:26:09,205 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 10:26:24,918 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:29:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 10:26:37,715 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 10:27:01,438 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:27:01,449 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9982 +2025-07-02 10:27:01,449 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9582, top5_acc: 0.9982 +2025-07-02 10:27:38,576 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:39, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 10:27:54,169 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:28:09,769 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:28:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 10:28:25,337 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 10:28:40,935 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:28:56,509 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:29:12,140 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:27:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0245, loss: 0.0245 +2025-07-02 10:29:27,768 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 10:29:43,385 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:29:58,890 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0182, loss: 0.0182 +2025-07-02 10:30:14,601 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:30:27,281 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 10:30:50,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:30:50,543 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9982 +2025-07-02 10:30:50,543 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9564, top5_acc: 0.9982 +2025-07-02 10:31:28,249 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:26, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:31:43,862 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 10:31:59,490 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:32:15,154 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:32:30,798 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 10:32:46,449 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:24:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 10:33:02,060 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:33:17,661 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0173, loss: 0.0173 +2025-07-02 10:33:33,257 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0170, loss: 0.0170 +2025-07-02 10:33:48,953 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 10:34:04,613 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 10:34:17,335 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 10:34:40,820 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:34:40,831 - pyskl - INFO - +top1_acc 0.9597 +top5_acc 0.9970 +2025-07-02 10:34:40,831 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9597, top5_acc: 0.9970 +2025-07-02 10:35:18,198 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:13, time: 0.374, data_time: 0.213, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:35:33,871 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 10:35:49,507 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 10:36:05,133 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0145, loss: 0.0145 +2025-07-02 10:36:20,745 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 10:36:36,387 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0134, loss: 0.0134 +2025-07-02 10:36:52,071 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 10:37:07,735 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 10:37:23,386 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:20:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0189, loss: 0.0189 +2025-07-02 10:37:39,029 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 10:37:54,794 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 10:38:07,617 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 10:38:31,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:38:31,184 - pyskl - INFO - +top1_acc 0.9575 +top5_acc 0.9970 +2025-07-02 10:38:31,184 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9575, top5_acc: 0.9970 +2025-07-02 10:39:08,633 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:19:00, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0137, loss: 0.0137 +2025-07-02 10:39:24,224 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 10:39:39,854 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:39:55,441 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 10:40:11,036 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 10:40:26,628 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 10:40:42,287 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:40:57,923 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 10:41:13,625 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 10:41:29,301 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 10:41:44,928 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:41:57,765 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 10:42:21,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:42:21,317 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9978 +2025-07-02 10:42:21,317 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9601, top5_acc: 0.9978 +2025-07-02 10:42:58,743 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:47, time: 0.374, data_time: 0.213, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0166, loss: 0.0166 +2025-07-02 10:43:14,489 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:43:30,215 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:43:45,975 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 10:44:01,698 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:44:17,439 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:44:33,095 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:44:48,618 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0142, loss: 0.0142 +2025-07-02 10:45:04,121 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 10:45:19,788 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 10:45:35,445 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9975, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 10:45:48,278 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 10:46:11,830 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:46:11,840 - pyskl - INFO - +top1_acc 0.9586 +top5_acc 0.9982 +2025-07-02 10:46:11,840 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9586, top5_acc: 0.9982 +2025-07-02 10:46:49,153 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:35, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:47:04,750 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 10:47:20,327 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:12:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 10:47:35,941 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 10:47:51,491 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 10:48:06,992 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 10:48:22,532 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:48:38,166 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 10:48:53,717 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0201, loss: 0.0201 +2025-07-02 10:49:09,237 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:49:24,950 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:49:37,828 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 10:50:01,471 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:50:01,482 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9974 +2025-07-02 10:50:01,482 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9578, top5_acc: 0.9974 +2025-07-02 10:50:39,078 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:22, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 10:50:54,652 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:51:10,220 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 10:51:25,769 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:51:41,329 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 10:51:56,901 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:08:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:52:12,493 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 10:52:28,114 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 10:52:43,734 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 10:52:59,530 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0187, loss: 0.0187 +2025-07-02 10:53:15,123 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:53:27,901 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 10:53:51,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:53:51,621 - pyskl - INFO - +top1_acc 0.9571 +top5_acc 0.9974 +2025-07-02 10:53:51,621 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9571, top5_acc: 0.9974 +2025-07-02 10:54:29,088 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:09, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:54:44,715 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:55:00,322 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 10:55:15,906 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 10:55:31,521 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 10:55:47,118 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 10:56:02,760 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 10:56:18,423 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0172, loss: 0.0172 +2025-07-02 10:56:34,088 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 10:56:49,859 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 10:57:05,518 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:57:18,298 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 10:57:41,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:57:41,931 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9974 +2025-07-02 10:57:41,931 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9567, top5_acc: 0.9974 +2025-07-02 10:58:19,618 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:56, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 10:58:35,211 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 10:58:50,894 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 10:59:06,624 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:59:22,533 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 10:59:38,393 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:59:54,141 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 11:00:09,770 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 11:00:25,401 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0176, loss: 0.0176 +2025-07-02 11:00:41,075 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 11:00:56,655 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 11:01:09,407 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 11:01:32,016 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:01:32,026 - pyskl - INFO - +top1_acc 0.9575 +top5_acc 0.9974 +2025-07-02 11:01:32,026 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9575, top5_acc: 0.9974 +2025-07-02 11:01:38,893 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 11:03:03,825 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 11:03:03,825 - pyskl - INFO - top1_acc: 0.9597 +2025-07-02 11:03:03,825 - pyskl - INFO - top5_acc: 0.9970 +2025-07-02 11:03:03,826 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/b_3/best_top1_acc_epoch_140.pth +2025-07-02 11:04:28,470 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 11:04:28,470 - pyskl - INFO - top1_acc: 0.9619 +2025-07-02 11:04:28,470 - pyskl - INFO - top5_acc: 0.9978 diff --git a/pku_mmd_xsub/b_3/20250702_012939.log.json b/pku_mmd_xsub/b_3/20250702_012939.log.json new file mode 100644 index 0000000000000000000000000000000000000000..04a17c1f0bbafaf94c410119d751be3a42203b3b --- /dev/null +++ b/pku_mmd_xsub/b_3/20250702_012939.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - 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"time": 0.15674} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00017, "top1_acc": 0.99562, "top5_acc": 0.99938, "loss_cls": 0.0322, "loss": 0.0322, "time": 0.15579} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.95747, "top5_acc": 0.99741} diff --git a/pku_mmd_xsub/b_3/b_3.py b/pku_mmd_xsub/b_3/b_3.py new file mode 100644 index 0000000000000000000000000000000000000000..f6f948cdc50ebba21ffe5a97de57fa5716ced4dd --- /dev/null +++ b/pku_mmd_xsub/b_3/b_3.py @@ -0,0 +1,98 @@ +modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/b_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/b_3/best_pred.pkl b/pku_mmd_xsub/b_3/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..f504774b0b40cb76ad23f05506c53c05619d6fce --- /dev/null +++ b/pku_mmd_xsub/b_3/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e58f90159e8b0048eb483720366db04581e0e9e188847703b979ebabec0cb0d2 +size 954677 diff --git a/pku_mmd_xsub/b_3/best_top1_acc_epoch_140.pth b/pku_mmd_xsub/b_3/best_top1_acc_epoch_140.pth new file mode 100644 index 0000000000000000000000000000000000000000..33f81ddd3e2902a1b9c8cfb3892dd3c2b79e7472 --- /dev/null +++ b/pku_mmd_xsub/b_3/best_top1_acc_epoch_140.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:257b1b060a7ffce62e6bc1def7d44ae954baff7a8c15f3c49322896764674922 +size 32917041 diff --git a/pku_mmd_xsub/bm/20250702_121022.log b/pku_mmd_xsub/bm/20250702_121022.log new file mode 100644 index 0000000000000000000000000000000000000000..e0273c288297478e5cf38840a9a499ff87488113 --- /dev/null +++ b/pku_mmd_xsub/bm/20250702_121022.log @@ -0,0 +1,2814 @@ +2025-07-02 12:10:23,003 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 12:10:23,290 - pyskl - INFO - Config: modality = 'bm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/bm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 12:10:23,291 - pyskl - INFO - Set random seed to 156050157, deterministic: False +2025-07-02 12:10:27,109 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 12:10:33,448 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 12:10:33,453 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm +2025-07-02 12:10:33,453 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 12:10:33,453 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 12:10:33,453 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm by HardDiskBackend. +2025-07-02 12:11:10,667 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 18:15:12, time: 0.372, data_time: 0.216, memory: 3565, top1_acc: 0.0600, top5_acc: 0.2269, loss_cls: 4.2681, loss: 4.2681 +2025-07-02 12:11:25,707 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:48:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.0912, top5_acc: 0.3119, loss_cls: 4.1466, loss: 4.1466 +2025-07-02 12:11:40,820 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 11:00:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.0975, top5_acc: 0.3412, loss_cls: 4.0210, loss: 4.0210 +2025-07-02 12:11:55,977 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 10:06:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1225, top5_acc: 0.4163, loss_cls: 3.7700, loss: 3.7700 +2025-07-02 12:12:11,189 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:34:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1700, top5_acc: 0.4925, loss_cls: 3.5625, loss: 3.5625 +2025-07-02 12:12:26,352 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:12:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1988, top5_acc: 0.5544, loss_cls: 3.3748, loss: 3.3748 +2025-07-02 12:12:41,502 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:56:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2175, top5_acc: 0.6075, loss_cls: 3.2318, loss: 3.2318 +2025-07-02 12:12:56,643 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:44:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2419, top5_acc: 0.6431, loss_cls: 3.0788, loss: 3.0788 +2025-07-02 12:13:11,910 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:35:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.2731, top5_acc: 0.6819, loss_cls: 2.9700, loss: 2.9700 +2025-07-02 12:13:27,036 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:28:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3125, top5_acc: 0.7081, loss_cls: 2.8406, loss: 2.8406 +2025-07-02 12:13:42,151 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:22:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3450, top5_acc: 0.7350, loss_cls: 2.6990, loss: 2.6990 +2025-07-02 12:13:54,520 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 12:14:17,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:14:17,292 - pyskl - INFO - +top1_acc 0.2470 +top5_acc 0.6553 +2025-07-02 12:14:17,427 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 12:14:17,427 - pyskl - INFO - Best top1_acc is 0.2470 at 1 epoch. +2025-07-02 12:14:17,428 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.2470, top5_acc: 0.6553 +2025-07-02 12:14:54,047 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:35:25, time: 0.366, data_time: 0.214, memory: 3565, top1_acc: 0.4056, top5_acc: 0.7800, loss_cls: 2.5028, loss: 2.5028 +2025-07-02 12:15:09,273 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:30:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.4150, top5_acc: 0.7981, loss_cls: 2.4393, loss: 2.4393 +2025-07-02 12:15:24,437 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:25:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.4194, top5_acc: 0.8200, loss_cls: 2.3613, loss: 2.3613 +2025-07-02 12:15:39,821 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:21:23, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.4612, top5_acc: 0.8325, loss_cls: 2.2518, loss: 2.2518 +2025-07-02 12:15:54,973 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:17:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.4637, top5_acc: 0.8506, loss_cls: 2.2140, loss: 2.2140 +2025-07-02 12:16:10,106 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:14:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4669, top5_acc: 0.8500, loss_cls: 2.1754, loss: 2.1754 +2025-07-02 12:16:25,324 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:11:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5112, top5_acc: 0.8681, loss_cls: 2.1145, loss: 2.1145 +2025-07-02 12:16:40,499 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:08:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5050, top5_acc: 0.8725, loss_cls: 2.1098, loss: 2.1098 +2025-07-02 12:16:55,529 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:05:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5125, top5_acc: 0.8706, loss_cls: 2.0707, loss: 2.0707 +2025-07-02 12:17:10,608 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 8:03:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5262, top5_acc: 0.8944, loss_cls: 1.9607, loss: 1.9607 +2025-07-02 12:17:25,821 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 8:01:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5531, top5_acc: 0.8994, loss_cls: 1.9309, loss: 1.9309 +2025-07-02 12:17:38,176 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 12:18:01,145 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:18:01,155 - pyskl - INFO - +top1_acc 0.1557 +top5_acc 0.3513 +2025-07-02 12:18:01,155 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.1557, top5_acc: 0.3513 +2025-07-02 12:18:37,398 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:08:43, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.5669, top5_acc: 0.9012, loss_cls: 1.8436, loss: 1.8436 +2025-07-02 12:18:52,624 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:06:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5850, top5_acc: 0.8988, loss_cls: 1.8351, loss: 1.8351 +2025-07-02 12:19:07,738 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:04:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5881, top5_acc: 0.9081, loss_cls: 1.7709, loss: 1.7709 +2025-07-02 12:19:22,975 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 8:02:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5962, top5_acc: 0.9175, loss_cls: 1.7414, loss: 1.7414 +2025-07-02 12:19:38,059 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 8:00:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6081, top5_acc: 0.9094, loss_cls: 1.7059, loss: 1.7059 +2025-07-02 12:19:53,174 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:59:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6200, top5_acc: 0.9237, loss_cls: 1.6566, loss: 1.6566 +2025-07-02 12:20:08,297 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:57:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6356, top5_acc: 0.9263, loss_cls: 1.6152, loss: 1.6152 +2025-07-02 12:20:23,465 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:55:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6338, top5_acc: 0.9237, loss_cls: 1.6174, loss: 1.6174 +2025-07-02 12:20:38,651 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:54:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6300, top5_acc: 0.9294, loss_cls: 1.6183, loss: 1.6183 +2025-07-02 12:20:53,838 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:53:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6238, top5_acc: 0.9231, loss_cls: 1.6331, loss: 1.6331 +2025-07-02 12:21:09,065 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:52:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6231, top5_acc: 0.9225, loss_cls: 1.6228, loss: 1.6228 +2025-07-02 12:21:21,454 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 12:21:44,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:21:44,323 - pyskl - INFO - +top1_acc 0.2234 +top5_acc 0.6631 +2025-07-02 12:21:44,324 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.2234, top5_acc: 0.6631 +2025-07-02 12:22:20,547 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:57:11, time: 0.362, data_time: 0.211, memory: 3565, top1_acc: 0.6431, top5_acc: 0.9287, loss_cls: 1.5663, loss: 1.5663 +2025-07-02 12:22:35,799 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:55:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6462, top5_acc: 0.9469, loss_cls: 1.5106, loss: 1.5106 +2025-07-02 12:22:50,961 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:54:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6731, top5_acc: 0.9300, loss_cls: 1.5367, loss: 1.5367 +2025-07-02 12:23:06,045 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:53:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6594, top5_acc: 0.9413, loss_cls: 1.5025, loss: 1.5025 +2025-07-02 12:23:21,116 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:52:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6844, top5_acc: 0.9425, loss_cls: 1.4283, loss: 1.4283 +2025-07-02 12:23:36,233 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:50:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6906, top5_acc: 0.9463, loss_cls: 1.4128, loss: 1.4128 +2025-07-02 12:23:51,383 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:49:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6750, top5_acc: 0.9531, loss_cls: 1.4350, loss: 1.4350 +2025-07-02 12:24:06,566 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:48:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6963, top5_acc: 0.9425, loss_cls: 1.3894, loss: 1.3894 +2025-07-02 12:24:21,702 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:47:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6831, top5_acc: 0.9406, loss_cls: 1.4339, loss: 1.4339 +2025-07-02 12:24:36,882 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:46:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7075, top5_acc: 0.9475, loss_cls: 1.3376, loss: 1.3376 +2025-07-02 12:24:52,002 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:45:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7156, top5_acc: 0.9513, loss_cls: 1.3152, loss: 1.3152 +2025-07-02 12:25:04,393 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 12:25:27,341 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:25:27,351 - pyskl - INFO - +top1_acc 0.4249 +top5_acc 0.8125 +2025-07-02 12:25:27,358 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_1.pth was removed +2025-07-02 12:25:27,468 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 12:25:27,469 - pyskl - INFO - Best top1_acc is 0.4249 at 4 epoch. +2025-07-02 12:25:27,469 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.4249, top5_acc: 0.8125 +2025-07-02 12:26:03,569 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:49:34, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.7013, top5_acc: 0.9450, loss_cls: 1.3565, loss: 1.3565 +2025-07-02 12:26:18,909 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:48:41, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6956, top5_acc: 0.9513, loss_cls: 1.3663, loss: 1.3663 +2025-07-02 12:26:33,912 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:47:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7219, top5_acc: 0.9450, loss_cls: 1.2875, loss: 1.2875 +2025-07-02 12:26:48,883 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:46:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7125, top5_acc: 0.9606, loss_cls: 1.3129, loss: 1.3129 +2025-07-02 12:27:03,883 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:45:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6875, top5_acc: 0.9456, loss_cls: 1.3679, loss: 1.3679 +2025-07-02 12:27:18,914 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:44:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7206, top5_acc: 0.9475, loss_cls: 1.3504, loss: 1.3504 +2025-07-02 12:27:33,916 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:43:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7600, top5_acc: 0.9587, loss_cls: 1.1875, loss: 1.1875 +2025-07-02 12:27:48,849 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:42:45, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7212, top5_acc: 0.9513, loss_cls: 1.2927, loss: 1.2927 +2025-07-02 12:28:03,834 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:41:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7231, top5_acc: 0.9600, loss_cls: 1.2626, loss: 1.2626 +2025-07-02 12:28:18,858 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:41:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7350, top5_acc: 0.9550, loss_cls: 1.2730, loss: 1.2730 +2025-07-02 12:28:33,754 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:40:06, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7531, top5_acc: 0.9581, loss_cls: 1.1694, loss: 1.1694 +2025-07-02 12:28:46,052 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 12:29:09,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:29:09,181 - pyskl - INFO - +top1_acc 0.4974 +top5_acc 0.8854 +2025-07-02 12:29:09,185 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_4.pth was removed +2025-07-02 12:29:09,302 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 12:29:09,302 - pyskl - INFO - Best top1_acc is 0.4974 at 5 epoch. +2025-07-02 12:29:09,303 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.4974, top5_acc: 0.8854 +2025-07-02 12:29:45,654 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:43:14, time: 0.363, data_time: 0.211, memory: 3565, top1_acc: 0.7450, top5_acc: 0.9669, loss_cls: 1.1869, loss: 1.1869 +2025-07-02 12:30:01,010 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:42:32, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7550, top5_acc: 0.9556, loss_cls: 1.1897, loss: 1.1897 +2025-07-02 12:30:16,246 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:41:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7450, top5_acc: 0.9581, loss_cls: 1.1769, loss: 1.1769 +2025-07-02 12:30:31,528 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:41:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7438, top5_acc: 0.9625, loss_cls: 1.1530, loss: 1.1530 +2025-07-02 12:30:46,531 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:40:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7356, top5_acc: 0.9606, loss_cls: 1.1854, loss: 1.1854 +2025-07-02 12:31:01,519 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:39:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7362, top5_acc: 0.9506, loss_cls: 1.2479, loss: 1.2479 +2025-07-02 12:31:16,472 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:38:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7531, top5_acc: 0.9519, loss_cls: 1.1875, loss: 1.1875 +2025-07-02 12:31:31,506 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:37:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7306, top5_acc: 0.9513, loss_cls: 1.2558, loss: 1.2558 +2025-07-02 12:31:46,578 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:37:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9681, loss_cls: 1.1014, loss: 1.1014 +2025-07-02 12:32:01,658 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:36:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7588, top5_acc: 0.9637, loss_cls: 1.1520, loss: 1.1520 +2025-07-02 12:32:16,976 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:35:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7525, top5_acc: 0.9619, loss_cls: 1.1566, loss: 1.1566 +2025-07-02 12:32:29,549 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 12:32:52,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:32:52,748 - pyskl - INFO - +top1_acc 0.5780 +top5_acc 0.8565 +2025-07-02 12:32:52,752 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_5.pth was removed +2025-07-02 12:32:52,875 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 12:32:52,876 - pyskl - INFO - Best top1_acc is 0.5780 at 6 epoch. +2025-07-02 12:32:52,877 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.5780, top5_acc: 0.8565 +2025-07-02 12:33:29,429 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:38:29, time: 0.365, data_time: 0.215, memory: 3565, top1_acc: 0.7719, top5_acc: 0.9594, loss_cls: 1.0950, loss: 1.0950 +2025-07-02 12:33:44,390 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:37:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7706, top5_acc: 0.9631, loss_cls: 1.1123, loss: 1.1123 +2025-07-02 12:33:59,350 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:36:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9563, loss_cls: 1.1369, loss: 1.1369 +2025-07-02 12:34:14,320 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:36:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7625, top5_acc: 0.9669, loss_cls: 1.0887, loss: 1.0887 +2025-07-02 12:34:29,267 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:35:31, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9706, loss_cls: 1.0766, loss: 1.0766 +2025-07-02 12:34:44,321 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:34:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9619, loss_cls: 1.1261, loss: 1.1261 +2025-07-02 12:34:59,417 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:34:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7612, top5_acc: 0.9631, loss_cls: 1.1297, loss: 1.1297 +2025-07-02 12:35:14,561 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:33:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7850, top5_acc: 0.9663, loss_cls: 1.0527, loss: 1.0527 +2025-07-02 12:35:29,765 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:32:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9656, loss_cls: 1.0680, loss: 1.0680 +2025-07-02 12:35:44,976 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:32:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7694, top5_acc: 0.9613, loss_cls: 1.1675, loss: 1.1675 +2025-07-02 12:36:00,071 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:31:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7600, top5_acc: 0.9656, loss_cls: 1.1213, loss: 1.1213 +2025-07-02 12:36:12,275 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 12:36:35,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:36:35,403 - pyskl - INFO - +top1_acc 0.6949 +top5_acc 0.9475 +2025-07-02 12:36:35,407 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_6.pth was removed +2025-07-02 12:36:35,523 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 12:36:35,524 - pyskl - INFO - Best top1_acc is 0.6949 at 7 epoch. +2025-07-02 12:36:35,525 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.6949, top5_acc: 0.9475 +2025-07-02 12:37:11,744 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:33:51, time: 0.362, data_time: 0.211, memory: 3565, top1_acc: 0.7919, top5_acc: 0.9663, loss_cls: 1.0093, loss: 1.0093 +2025-07-02 12:37:26,917 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:33:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7806, top5_acc: 0.9719, loss_cls: 1.0278, loss: 1.0278 +2025-07-02 12:37:42,132 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:32:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7931, top5_acc: 0.9669, loss_cls: 1.0182, loss: 1.0182 +2025-07-02 12:37:57,275 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:32:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9700, loss_cls: 1.0197, loss: 1.0197 +2025-07-02 12:38:12,170 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:31:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7719, top5_acc: 0.9656, loss_cls: 1.0548, loss: 1.0548 +2025-07-02 12:38:27,153 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:30:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7837, top5_acc: 0.9606, loss_cls: 1.0442, loss: 1.0442 +2025-07-02 12:38:42,132 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:30:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7837, top5_acc: 0.9606, loss_cls: 1.0642, loss: 1.0642 +2025-07-02 12:38:57,228 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:29:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7681, top5_acc: 0.9663, loss_cls: 1.0494, loss: 1.0494 +2025-07-02 12:39:12,297 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:29:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7762, top5_acc: 0.9556, loss_cls: 1.1206, loss: 1.1206 +2025-07-02 12:39:27,408 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:28:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7800, top5_acc: 0.9688, loss_cls: 1.0164, loss: 1.0164 +2025-07-02 12:39:42,474 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:27:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8013, top5_acc: 0.9756, loss_cls: 0.9380, loss: 0.9380 +2025-07-02 12:39:54,798 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 12:40:18,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:40:18,195 - pyskl - INFO - +top1_acc 0.2604 +top5_acc 0.7448 +2025-07-02 12:40:18,196 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.2604, top5_acc: 0.7448 +2025-07-02 12:40:54,350 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:29:36, time: 0.362, data_time: 0.211, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9613, loss_cls: 1.0104, loss: 1.0104 +2025-07-02 12:41:09,410 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:29:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9719, loss_cls: 0.9530, loss: 0.9530 +2025-07-02 12:41:24,373 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:28:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7750, top5_acc: 0.9637, loss_cls: 1.0520, loss: 1.0520 +2025-07-02 12:41:39,513 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:27:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9631, loss_cls: 1.0487, loss: 1.0487 +2025-07-02 12:41:54,435 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:27:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7881, top5_acc: 0.9750, loss_cls: 0.9594, loss: 0.9594 +2025-07-02 12:42:09,331 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:26:41, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9700, loss_cls: 1.0131, loss: 1.0131 +2025-07-02 12:42:24,208 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:26:05, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7963, top5_acc: 0.9731, loss_cls: 1.0032, loss: 1.0032 +2025-07-02 12:42:39,162 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:25:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9788, loss_cls: 0.9740, loss: 0.9740 +2025-07-02 12:42:54,141 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:24:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9725, loss_cls: 0.9380, loss: 0.9380 +2025-07-02 12:43:09,205 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:24:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9650, loss_cls: 1.0190, loss: 1.0190 +2025-07-02 12:43:24,315 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:23:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9700, loss_cls: 0.9503, loss: 0.9503 +2025-07-02 12:43:36,702 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 12:43:59,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:43:59,664 - pyskl - INFO - +top1_acc 0.2655 +top5_acc 0.6113 +2025-07-02 12:43:59,665 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.2655, top5_acc: 0.6113 +2025-07-02 12:44:35,737 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:25:23, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9688, loss_cls: 0.9911, loss: 0.9911 +2025-07-02 12:44:50,797 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:24:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9725, loss_cls: 0.9523, loss: 0.9523 +2025-07-02 12:45:05,790 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:24:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9762, loss_cls: 0.9584, loss: 0.9584 +2025-07-02 12:45:21,152 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:23:51, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7931, top5_acc: 0.9681, loss_cls: 0.9686, loss: 0.9686 +2025-07-02 12:45:36,289 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:23:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7894, top5_acc: 0.9756, loss_cls: 0.9742, loss: 0.9742 +2025-07-02 12:45:51,420 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:22:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9725, loss_cls: 0.9561, loss: 0.9561 +2025-07-02 12:46:06,420 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:22:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7850, top5_acc: 0.9738, loss_cls: 0.9610, loss: 0.9610 +2025-07-02 12:46:21,462 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:21:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9675, loss_cls: 0.9988, loss: 0.9988 +2025-07-02 12:46:36,547 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:21:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9750, loss_cls: 0.9447, loss: 0.9447 +2025-07-02 12:46:51,651 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:20:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9725, loss_cls: 0.9673, loss: 0.9673 +2025-07-02 12:47:06,647 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:20:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9706, loss_cls: 0.9566, loss: 0.9566 +2025-07-02 12:47:18,939 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 12:47:42,317 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:47:42,327 - pyskl - INFO - +top1_acc 0.7903 +top5_acc 0.9760 +2025-07-02 12:47:42,331 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_7.pth was removed +2025-07-02 12:47:42,453 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 12:47:42,454 - pyskl - INFO - Best top1_acc is 0.7903 at 10 epoch. +2025-07-02 12:47:42,455 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.7903, top5_acc: 0.9760 +2025-07-02 12:48:18,951 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:21:42, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9781, loss_cls: 0.9241, loss: 0.9241 +2025-07-02 12:48:34,062 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:21:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9788, loss_cls: 0.8853, loss: 0.8853 +2025-07-02 12:48:49,263 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:20:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9788, loss_cls: 0.9034, loss: 0.9034 +2025-07-02 12:49:04,454 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:20:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9731, loss_cls: 0.9027, loss: 0.9027 +2025-07-02 12:49:19,634 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:19:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9694, loss_cls: 0.9749, loss: 0.9749 +2025-07-02 12:49:34,772 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:19:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9775, loss_cls: 0.9099, loss: 0.9099 +2025-07-02 12:49:49,990 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:18:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9725, loss_cls: 0.9310, loss: 0.9310 +2025-07-02 12:50:05,020 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:18:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8031, top5_acc: 0.9637, loss_cls: 0.9785, loss: 0.9785 +2025-07-02 12:50:20,062 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:17:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9669, loss_cls: 0.9510, loss: 0.9510 +2025-07-02 12:50:35,250 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:17:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8000, top5_acc: 0.9706, loss_cls: 0.9649, loss: 0.9649 +2025-07-02 12:50:50,707 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:17:07, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9694, loss_cls: 0.9072, loss: 0.9072 +2025-07-02 12:51:02,960 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 12:51:25,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:51:25,959 - pyskl - INFO - +top1_acc 0.5018 +top5_acc 0.8569 +2025-07-02 12:51:25,959 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.5018, top5_acc: 0.8569 +2025-07-02 12:52:02,412 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:18:18, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9756, loss_cls: 0.8594, loss: 0.8594 +2025-07-02 12:52:17,392 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:17:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 0.8725, loss: 0.8725 +2025-07-02 12:52:32,472 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:17:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9731, loss_cls: 0.8966, loss: 0.8966 +2025-07-02 12:52:47,588 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:16:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8031, top5_acc: 0.9725, loss_cls: 0.9078, loss: 0.9078 +2025-07-02 12:53:02,598 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:16:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9688, loss_cls: 0.9367, loss: 0.9367 +2025-07-02 12:53:17,671 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:15:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 0.9041, loss: 0.9041 +2025-07-02 12:53:32,748 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:15:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 0.8879, loss: 0.8879 +2025-07-02 12:53:47,894 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:15:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9756, loss_cls: 0.8876, loss: 0.8876 +2025-07-02 12:54:03,040 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:14:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9744, loss_cls: 0.9165, loss: 0.9165 +2025-07-02 12:54:18,127 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:14:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8156, top5_acc: 0.9788, loss_cls: 0.9071, loss: 0.9071 +2025-07-02 12:54:33,138 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:13:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8181, top5_acc: 0.9688, loss_cls: 0.8756, loss: 0.8756 +2025-07-02 12:54:45,338 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 12:55:08,475 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:55:08,485 - pyskl - INFO - +top1_acc 0.3680 +top5_acc 0.7925 +2025-07-02 12:55:08,485 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.3680, top5_acc: 0.7925 +2025-07-02 12:55:44,544 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:14:39, time: 0.361, data_time: 0.209, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9738, loss_cls: 0.8346, loss: 0.8346 +2025-07-02 12:55:59,701 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:14:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9800, loss_cls: 0.8092, loss: 0.8092 +2025-07-02 12:56:14,896 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:13:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9775, loss_cls: 0.8311, loss: 0.8311 +2025-07-02 12:56:29,972 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:13:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9812, loss_cls: 0.8488, loss: 0.8488 +2025-07-02 12:56:44,884 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:12:52, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9750, loss_cls: 0.9087, loss: 0.9087 +2025-07-02 12:56:59,894 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:12:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9631, loss_cls: 0.9314, loss: 0.9314 +2025-07-02 12:57:14,998 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:11:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9719, loss_cls: 0.9049, loss: 0.9049 +2025-07-02 12:57:30,055 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:11:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9706, loss_cls: 0.8501, loss: 0.8501 +2025-07-02 12:57:45,215 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:11:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8144, top5_acc: 0.9838, loss_cls: 0.8566, loss: 0.8566 +2025-07-02 12:58:00,312 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:10:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9738, loss_cls: 0.8994, loss: 0.8994 +2025-07-02 12:58:15,380 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:10:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8187, top5_acc: 0.9756, loss_cls: 0.9040, loss: 0.9040 +2025-07-02 12:58:27,686 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 12:58:50,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:58:50,637 - pyskl - INFO - +top1_acc 0.7689 +top5_acc 0.9656 +2025-07-02 12:58:50,637 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.7689, top5_acc: 0.9656 +2025-07-02 12:59:26,896 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:11:09, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9756, loss_cls: 0.8434, loss: 0.8434 +2025-07-02 12:59:41,857 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:10:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9800, loss_cls: 0.8427, loss: 0.8427 +2025-07-02 12:59:56,738 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:10:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9744, loss_cls: 0.8379, loss: 0.8379 +2025-07-02 13:00:11,844 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:09:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 0.9113, loss: 0.9113 +2025-07-02 13:00:26,714 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:09:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 0.8116, loss: 0.8116 +2025-07-02 13:00:41,674 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:08:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8156, top5_acc: 0.9725, loss_cls: 0.8683, loss: 0.8683 +2025-07-02 13:00:56,789 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:08:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9738, loss_cls: 0.8248, loss: 0.8248 +2025-07-02 13:01:11,912 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:08:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9788, loss_cls: 0.8033, loss: 0.8033 +2025-07-02 13:01:27,077 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:07:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9794, loss_cls: 0.8272, loss: 0.8272 +2025-07-02 13:01:42,336 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:07:17, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9744, loss_cls: 0.8649, loss: 0.8649 +2025-07-02 13:01:57,300 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:06:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8125, top5_acc: 0.9731, loss_cls: 0.8632, loss: 0.8632 +2025-07-02 13:02:09,591 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 13:02:32,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:02:32,477 - pyskl - INFO - +top1_acc 0.4283 +top5_acc 0.7293 +2025-07-02 13:02:32,477 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.4283, top5_acc: 0.7293 +2025-07-02 13:03:08,704 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:07:38, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9750, loss_cls: 0.8633, loss: 0.8633 +2025-07-02 13:03:23,862 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:07:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9800, loss_cls: 0.8318, loss: 0.8318 +2025-07-02 13:03:38,962 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:06:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9806, loss_cls: 0.8135, loss: 0.8135 +2025-07-02 13:03:54,133 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:06:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9769, loss_cls: 0.8256, loss: 0.8256 +2025-07-02 13:04:09,241 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:06:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9744, loss_cls: 0.8574, loss: 0.8574 +2025-07-02 13:04:24,424 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:05:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 0.8309, loss: 0.8309 +2025-07-02 13:04:39,503 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:05:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9725, loss_cls: 0.8935, loss: 0.8935 +2025-07-02 13:04:54,715 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:04:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9712, loss_cls: 0.8980, loss: 0.8980 +2025-07-02 13:05:09,833 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:04:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9744, loss_cls: 0.8496, loss: 0.8496 +2025-07-02 13:05:24,899 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:04:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 0.7617, loss: 0.7617 +2025-07-02 13:05:39,844 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:03:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 0.7604, loss: 0.7604 +2025-07-02 13:05:52,087 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 13:06:14,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:06:14,878 - pyskl - INFO - +top1_acc 0.6694 +top5_acc 0.9564 +2025-07-02 13:06:14,878 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.6694, top5_acc: 0.9564 +2025-07-02 13:06:50,990 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:04:15, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9806, loss_cls: 0.8338, loss: 0.8338 +2025-07-02 13:07:06,016 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:03:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9769, loss_cls: 0.8166, loss: 0.8166 +2025-07-02 13:07:21,246 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:03:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 0.7654, loss: 0.7654 +2025-07-02 13:07:36,340 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:03:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9806, loss_cls: 0.7668, loss: 0.7668 +2025-07-02 13:07:51,340 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:02:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9775, loss_cls: 0.8137, loss: 0.8137 +2025-07-02 13:08:06,344 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:02:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9769, loss_cls: 0.8509, loss: 0.8509 +2025-07-02 13:08:21,311 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:01:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9825, loss_cls: 0.7827, loss: 0.7827 +2025-07-02 13:08:36,300 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:01:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9756, loss_cls: 0.7755, loss: 0.7755 +2025-07-02 13:08:51,369 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:01:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9725, loss_cls: 0.8081, loss: 0.8081 +2025-07-02 13:09:06,647 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 7:00:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 0.7536, loss: 0.7536 +2025-07-02 13:09:21,713 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 7:00:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9769, loss_cls: 0.7892, loss: 0.7892 +2025-07-02 13:09:34,040 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 13:09:57,041 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:09:57,052 - pyskl - INFO - +top1_acc 0.7674 +top5_acc 0.9852 +2025-07-02 13:09:57,052 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.7674, top5_acc: 0.9852 +2025-07-02 13:10:33,492 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:00:54, time: 0.364, data_time: 0.212, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9719, loss_cls: 0.8646, loss: 0.8646 +2025-07-02 13:10:48,542 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 7:00:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9794, loss_cls: 0.7238, loss: 0.7238 +2025-07-02 13:11:03,626 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 7:00:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9744, loss_cls: 0.8240, loss: 0.8240 +2025-07-02 13:11:18,678 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:59:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9744, loss_cls: 0.8567, loss: 0.8567 +2025-07-02 13:11:33,791 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:59:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9744, loss_cls: 0.8109, loss: 0.8109 +2025-07-02 13:11:48,862 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:58:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8187, top5_acc: 0.9850, loss_cls: 0.7907, loss: 0.7907 +2025-07-02 13:12:03,947 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:58:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9800, loss_cls: 0.8022, loss: 0.8022 +2025-07-02 13:12:18,979 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:58:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 0.7715, loss: 0.7715 +2025-07-02 13:12:33,997 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:57:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9750, loss_cls: 0.7703, loss: 0.7703 +2025-07-02 13:12:49,192 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:57:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 0.8054, loss: 0.8054 +2025-07-02 13:13:04,177 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:57:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 0.7101, loss: 0.7101 +2025-07-02 13:13:16,448 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 13:13:39,339 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:13:39,349 - pyskl - INFO - +top1_acc 0.7570 +top5_acc 0.9364 +2025-07-02 13:13:39,349 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.7570, top5_acc: 0.9364 +2025-07-02 13:14:15,633 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:57:33, time: 0.363, data_time: 0.213, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9794, loss_cls: 0.8080, loss: 0.8080 +2025-07-02 13:14:30,595 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:57:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7450, loss: 0.7450 +2025-07-02 13:14:45,605 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:56:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9812, loss_cls: 0.7633, loss: 0.7633 +2025-07-02 13:15:00,723 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:56:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 0.7926, loss: 0.7926 +2025-07-02 13:15:15,819 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:56:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 0.7993, loss: 0.7993 +2025-07-02 13:15:30,794 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:55:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9806, loss_cls: 0.7861, loss: 0.7861 +2025-07-02 13:15:45,838 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:55:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9744, loss_cls: 0.7756, loss: 0.7756 +2025-07-02 13:16:00,909 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:54:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 0.7318, loss: 0.7318 +2025-07-02 13:16:16,080 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:54:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 0.7856, loss: 0.7856 +2025-07-02 13:16:31,330 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:54:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9819, loss_cls: 0.8002, loss: 0.8002 +2025-07-02 13:16:46,509 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:53:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7919, loss: 0.7919 +2025-07-02 13:16:58,867 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 13:17:21,740 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:17:21,750 - pyskl - INFO - +top1_acc 0.7992 +top5_acc 0.9752 +2025-07-02 13:17:21,754 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_10.pth was removed +2025-07-02 13:17:21,868 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 13:17:21,868 - pyskl - INFO - Best top1_acc is 0.7992 at 18 epoch. +2025-07-02 13:17:21,869 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.7992, top5_acc: 0.9752 +2025-07-02 13:17:58,066 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:54:14, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 0.7201, loss: 0.7201 +2025-07-02 13:18:13,109 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:53:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9825, loss_cls: 0.7643, loss: 0.7643 +2025-07-02 13:18:28,174 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:53:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9750, loss_cls: 0.7909, loss: 0.7909 +2025-07-02 13:18:43,307 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:53:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9788, loss_cls: 0.7577, loss: 0.7577 +2025-07-02 13:18:58,441 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:52:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 0.7481, loss: 0.7481 +2025-07-02 13:19:13,614 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:52:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 0.7666, loss: 0.7666 +2025-07-02 13:19:28,750 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:52:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.7820, loss: 0.7820 +2025-07-02 13:19:44,067 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:51:40, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7279, loss: 0.7279 +2025-07-02 13:19:59,121 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:51:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9794, loss_cls: 0.8047, loss: 0.8047 +2025-07-02 13:20:14,156 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:50:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 0.7412, loss: 0.7412 +2025-07-02 13:20:29,219 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:50:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9712, loss_cls: 0.8012, loss: 0.8012 +2025-07-02 13:20:41,565 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 13:21:04,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:21:04,272 - pyskl - INFO - +top1_acc 0.8247 +top5_acc 0.9871 +2025-07-02 13:21:04,276 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_18.pth was removed +2025-07-02 13:21:04,386 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-02 13:21:04,386 - pyskl - INFO - Best top1_acc is 0.8247 at 19 epoch. +2025-07-02 13:21:04,387 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8247, top5_acc: 0.9871 +2025-07-02 13:21:40,741 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:50:59, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9731, loss_cls: 0.7798, loss: 0.7798 +2025-07-02 13:21:56,018 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:50:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 0.7646, loss: 0.7646 +2025-07-02 13:22:11,095 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:50:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 0.7858, loss: 0.7858 +2025-07-02 13:22:26,054 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:49:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9775, loss_cls: 0.7810, loss: 0.7810 +2025-07-02 13:22:41,108 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:49:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 0.7961, loss: 0.7961 +2025-07-02 13:22:56,328 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:49:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 0.7364, loss: 0.7364 +2025-07-02 13:23:11,509 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:48:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 0.7493, loss: 0.7493 +2025-07-02 13:23:26,416 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:48:26, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9762, loss_cls: 0.8095, loss: 0.8095 +2025-07-02 13:23:41,357 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:48:03, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9812, loss_cls: 0.6588, loss: 0.6588 +2025-07-02 13:23:56,518 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:47:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 0.7383, loss: 0.7383 +2025-07-02 13:24:11,785 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:47:21, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9825, loss_cls: 0.7783, loss: 0.7783 +2025-07-02 13:24:24,265 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 13:24:47,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:24:47,304 - pyskl - INFO - +top1_acc 0.8303 +top5_acc 0.9856 +2025-07-02 13:24:47,307 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_19.pth was removed +2025-07-02 13:24:47,420 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-02 13:24:47,421 - pyskl - INFO - Best top1_acc is 0.8303 at 20 epoch. +2025-07-02 13:24:47,421 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8303, top5_acc: 0.9856 +2025-07-02 13:25:23,568 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:47:43, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 0.7623, loss: 0.7623 +2025-07-02 13:25:38,518 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:47:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.7018, loss: 0.7018 +2025-07-02 13:25:53,522 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:46:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 0.7295, loss: 0.7295 +2025-07-02 13:26:08,584 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:46:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9712, loss_cls: 0.8243, loss: 0.8243 +2025-07-02 13:26:23,659 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:46:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9788, loss_cls: 0.7740, loss: 0.7740 +2025-07-02 13:26:38,701 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:45:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 0.7647, loss: 0.7647 +2025-07-02 13:26:53,956 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:45:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9856, loss_cls: 0.7252, loss: 0.7252 +2025-07-02 13:27:09,069 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:45:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 0.7152, loss: 0.7152 +2025-07-02 13:27:24,128 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:44:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 0.6900, loss: 0.6900 +2025-07-02 13:27:39,184 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:44:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 0.7291, loss: 0.7291 +2025-07-02 13:27:54,472 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:44:08, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 0.7189, loss: 0.7189 +2025-07-02 13:28:06,769 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 13:28:29,845 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:28:29,855 - pyskl - INFO - +top1_acc 0.5211 +top5_acc 0.7896 +2025-07-02 13:28:29,855 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.5211, top5_acc: 0.7896 +2025-07-02 13:29:05,928 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:44:27, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9881, loss_cls: 0.6384, loss: 0.6384 +2025-07-02 13:29:21,079 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:44:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 0.6670, loss: 0.6670 +2025-07-02 13:29:36,216 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:43:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 0.7325, loss: 0.7325 +2025-07-02 13:29:51,277 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:43:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.6882, loss: 0.6882 +2025-07-02 13:30:06,315 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:43:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9819, loss_cls: 0.7265, loss: 0.7265 +2025-07-02 13:30:21,370 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:42:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9731, loss_cls: 0.8251, loss: 0.8251 +2025-07-02 13:30:36,507 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:42:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9781, loss_cls: 0.8074, loss: 0.8074 +2025-07-02 13:30:51,777 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:41:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 0.7385, loss: 0.7385 +2025-07-02 13:31:07,098 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:41:40, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 0.7548, loss: 0.7548 +2025-07-02 13:31:22,320 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:41:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9800, loss_cls: 0.6754, loss: 0.6754 +2025-07-02 13:31:37,398 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:40:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7204, loss: 0.7204 +2025-07-02 13:31:49,637 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 13:32:12,639 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:32:12,649 - pyskl - INFO - +top1_acc 0.5973 +top5_acc 0.9146 +2025-07-02 13:32:12,649 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.5973, top5_acc: 0.9146 +2025-07-02 13:32:48,625 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:41:14, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 0.6526, loss: 0.6526 +2025-07-02 13:33:03,961 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:40:54, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9831, loss_cls: 0.7239, loss: 0.7239 +2025-07-02 13:33:19,150 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:40:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 0.7006, loss: 0.7006 +2025-07-02 13:33:34,276 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:40:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 0.7151, loss: 0.7151 +2025-07-02 13:33:49,409 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:39:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9875, loss_cls: 0.7061, loss: 0.7061 +2025-07-02 13:34:04,297 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:39:30, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7362, loss: 0.7362 +2025-07-02 13:34:19,334 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:39:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9788, loss_cls: 0.7277, loss: 0.7277 +2025-07-02 13:34:34,392 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:38:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9862, loss_cls: 0.6851, loss: 0.6851 +2025-07-02 13:34:49,464 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:38:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6925, loss: 0.6925 +2025-07-02 13:35:04,500 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:38:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9788, loss_cls: 0.6877, loss: 0.6877 +2025-07-02 13:35:19,647 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:37:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9750, loss_cls: 0.7487, loss: 0.7487 +2025-07-02 13:35:31,985 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 13:35:54,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:35:54,770 - pyskl - INFO - +top1_acc 0.8288 +top5_acc 0.9863 +2025-07-02 13:35:54,770 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8288, top5_acc: 0.9863 +2025-07-02 13:36:31,202 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:38:01, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6865, loss: 0.6865 +2025-07-02 13:36:46,718 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:37:43, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6774, loss: 0.6774 +2025-07-02 13:37:01,823 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:37:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9806, loss_cls: 0.6931, loss: 0.6931 +2025-07-02 13:37:16,794 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:37:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9762, loss_cls: 0.7114, loss: 0.7114 +2025-07-02 13:37:31,843 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:36:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 0.6832, loss: 0.6832 +2025-07-02 13:37:46,959 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:36:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9762, loss_cls: 0.7594, loss: 0.7594 +2025-07-02 13:38:02,094 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:35:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9862, loss_cls: 0.6596, loss: 0.6596 +2025-07-02 13:38:17,250 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:35:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 0.6734, loss: 0.6734 +2025-07-02 13:38:32,804 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:35:21, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 0.7135, loss: 0.7135 +2025-07-02 13:38:48,223 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:35:02, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 0.6631, loss: 0.6631 +2025-07-02 13:39:03,231 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:34:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 0.7102, loss: 0.7102 +2025-07-02 13:39:15,399 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 13:39:38,263 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:39:38,273 - pyskl - INFO - +top1_acc 0.8650 +top5_acc 0.9911 +2025-07-02 13:39:38,277 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_20.pth was removed +2025-07-02 13:39:38,391 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 13:39:38,392 - pyskl - INFO - Best top1_acc is 0.8650 at 24 epoch. +2025-07-02 13:39:38,392 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8650, top5_acc: 0.9911 +2025-07-02 13:40:14,349 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:34:52, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.5946, loss: 0.5946 +2025-07-02 13:40:29,402 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:34:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9812, loss_cls: 0.7170, loss: 0.7170 +2025-07-02 13:40:44,745 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:34:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9825, loss_cls: 0.6978, loss: 0.6978 +2025-07-02 13:40:59,803 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:33:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9800, loss_cls: 0.6909, loss: 0.6909 +2025-07-02 13:41:15,061 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:33:32, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 0.6773, loss: 0.6773 +2025-07-02 13:41:30,301 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:33:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 0.7083, loss: 0.7083 +2025-07-02 13:41:45,575 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:32:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9788, loss_cls: 0.7212, loss: 0.7212 +2025-07-02 13:42:00,803 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:32:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 0.7367, loss: 0.7367 +2025-07-02 13:42:16,079 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:32:14, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 0.6959, loss: 0.6959 +2025-07-02 13:42:31,242 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:31:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9725, loss_cls: 0.7582, loss: 0.7582 +2025-07-02 13:42:46,450 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:31:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 0.6478, loss: 0.6478 +2025-07-02 13:42:58,744 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 13:43:21,615 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:43:21,625 - pyskl - INFO - +top1_acc 0.8044 +top5_acc 0.9723 +2025-07-02 13:43:21,626 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8044, top5_acc: 0.9723 +2025-07-02 13:43:57,907 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:31:45, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9812, loss_cls: 0.6776, loss: 0.6776 +2025-07-02 13:44:12,930 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:31:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6616, loss: 0.6616 +2025-07-02 13:44:27,930 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:31:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9856, loss_cls: 0.6655, loss: 0.6655 +2025-07-02 13:44:43,038 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:30:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 0.6117, loss: 0.6117 +2025-07-02 13:44:58,201 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:30:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9838, loss_cls: 0.6695, loss: 0.6695 +2025-07-02 13:45:13,463 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:30:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 0.6730, loss: 0.6730 +2025-07-02 13:45:28,711 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:29:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9844, loss_cls: 0.6467, loss: 0.6467 +2025-07-02 13:45:43,795 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:29:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9831, loss_cls: 0.7021, loss: 0.7021 +2025-07-02 13:45:58,760 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:29:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 0.7264, loss: 0.7264 +2025-07-02 13:46:13,838 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:28:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9744, loss_cls: 0.6805, loss: 0.6805 +2025-07-02 13:46:29,037 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:28:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9831, loss_cls: 0.7290, loss: 0.7290 +2025-07-02 13:46:41,486 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 13:47:04,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:47:04,412 - pyskl - INFO - +top1_acc 0.7578 +top5_acc 0.9497 +2025-07-02 13:47:04,412 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.7578, top5_acc: 0.9497 +2025-07-02 13:47:40,945 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:28:34, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9762, loss_cls: 0.6835, loss: 0.6835 +2025-07-02 13:47:56,086 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:28:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.6039, loss: 0.6039 +2025-07-02 13:48:11,205 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:27:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9825, loss_cls: 0.6077, loss: 0.6077 +2025-07-02 13:48:26,210 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:27:34, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 0.5912, loss: 0.5912 +2025-07-02 13:48:41,332 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:27:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9831, loss_cls: 0.6881, loss: 0.6881 +2025-07-02 13:48:56,394 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:26:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 0.6947, loss: 0.6947 +2025-07-02 13:49:11,510 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:26:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 0.6146, loss: 0.6146 +2025-07-02 13:49:26,618 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:26:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9850, loss_cls: 0.6619, loss: 0.6619 +2025-07-02 13:49:41,710 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:25:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 0.6537, loss: 0.6537 +2025-07-02 13:49:56,884 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:25:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9812, loss_cls: 0.6859, loss: 0.6859 +2025-07-02 13:50:11,931 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:25:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 0.6107, loss: 0.6107 +2025-07-02 13:50:24,207 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 13:50:50,657 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:50:50,667 - pyskl - INFO - +top1_acc 0.8491 +top5_acc 0.9848 +2025-07-02 13:50:50,668 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8491, top5_acc: 0.9848 +2025-07-02 13:51:26,772 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:25:21, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9819, loss_cls: 0.6418, loss: 0.6418 +2025-07-02 13:51:41,815 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:25:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.6176, loss: 0.6176 +2025-07-02 13:51:57,332 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:24:43, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9781, loss_cls: 0.7102, loss: 0.7102 +2025-07-02 13:52:12,601 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:24:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 0.6131, loss: 0.6131 +2025-07-02 13:52:27,750 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:24:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9825, loss_cls: 0.6769, loss: 0.6769 +2025-07-02 13:52:42,850 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:23:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 0.6709, loss: 0.6709 +2025-07-02 13:52:57,917 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:23:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9775, loss_cls: 0.6876, loss: 0.6876 +2025-07-02 13:53:12,942 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:23:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9819, loss_cls: 0.6245, loss: 0.6245 +2025-07-02 13:53:27,922 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:22:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9819, loss_cls: 0.6598, loss: 0.6598 +2025-07-02 13:53:43,032 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:22:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9856, loss_cls: 0.6917, loss: 0.6917 +2025-07-02 13:53:58,208 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:22:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 0.6382, loss: 0.6382 +2025-07-02 13:54:10,693 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 13:54:33,767 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:54:33,777 - pyskl - INFO - +top1_acc 0.7552 +top5_acc 0.9501 +2025-07-02 13:54:33,778 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.7552, top5_acc: 0.9501 +2025-07-02 13:55:10,036 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:22:11, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.6748, loss: 0.6748 +2025-07-02 13:55:25,103 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:21:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 0.6428, loss: 0.6428 +2025-07-02 13:55:40,269 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:21:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9781, loss_cls: 0.6447, loss: 0.6447 +2025-07-02 13:55:55,311 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:21:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9800, loss_cls: 0.7064, loss: 0.7064 +2025-07-02 13:56:10,361 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:20:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 0.6297, loss: 0.6297 +2025-07-02 13:56:25,533 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:20:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 0.6544, loss: 0.6544 +2025-07-02 13:56:40,673 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:20:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 0.6159, loss: 0.6159 +2025-07-02 13:56:55,814 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:19:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9844, loss_cls: 0.7144, loss: 0.7144 +2025-07-02 13:57:11,066 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:19:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9869, loss_cls: 0.6329, loss: 0.6329 +2025-07-02 13:57:26,182 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:19:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 0.6515, loss: 0.6515 +2025-07-02 13:57:41,199 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:18:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 0.6121, loss: 0.6121 +2025-07-02 13:57:53,491 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 13:58:16,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:58:16,443 - pyskl - INFO - +top1_acc 0.7781 +top5_acc 0.9630 +2025-07-02 13:58:16,443 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.7781, top5_acc: 0.9630 +2025-07-02 13:58:53,614 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:19:04, time: 0.372, data_time: 0.212, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9900, loss_cls: 0.5824, loss: 0.5824 +2025-07-02 13:59:09,332 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:18:47, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 13:59:25,093 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:18:31, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6494, loss: 0.6494 +2025-07-02 13:59:40,771 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:18:13, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9825, loss_cls: 0.5659, loss: 0.5659 +2025-07-02 13:59:56,498 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:17:56, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6634, loss: 0.6634 +2025-07-02 14:00:12,118 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:17:39, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9912, loss_cls: 0.6058, loss: 0.6058 +2025-07-02 14:00:27,803 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:17:22, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9800, loss_cls: 0.6307, loss: 0.6307 +2025-07-02 14:00:43,490 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:17:05, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9806, loss_cls: 0.6631, loss: 0.6631 +2025-07-02 14:00:59,180 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:16:48, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9850, loss_cls: 0.6741, loss: 0.6741 +2025-07-02 14:01:14,911 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:16:31, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9781, loss_cls: 0.6965, loss: 0.6965 +2025-07-02 14:01:30,469 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:16:13, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9831, loss_cls: 0.6272, loss: 0.6272 +2025-07-02 14:01:43,175 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 14:02:06,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:02:06,163 - pyskl - INFO - +top1_acc 0.5581 +top5_acc 0.8021 +2025-07-02 14:02:06,163 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.5581, top5_acc: 0.8021 +2025-07-02 14:02:43,666 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:16:21, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 0.7083, loss: 0.7083 +2025-07-02 14:02:59,341 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:16:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6999, loss: 0.6999 +2025-07-02 14:03:15,035 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:15:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 0.7615, loss: 0.7615 +2025-07-02 14:03:30,636 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:15:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9888, loss_cls: 0.6825, loss: 0.6825 +2025-07-02 14:03:46,214 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:15:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 0.6386, loss: 0.6386 +2025-07-02 14:04:01,775 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:14:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8538, top5_acc: 0.9850, loss_cls: 0.7174, loss: 0.7174 +2025-07-02 14:04:17,413 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:14:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8462, top5_acc: 0.9750, loss_cls: 0.7785, loss: 0.7785 +2025-07-02 14:04:32,984 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:14:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6793, loss: 0.6793 +2025-07-02 14:04:48,544 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:14:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 0.6771, loss: 0.6771 +2025-07-02 14:05:04,122 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:13:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 0.6504, loss: 0.6504 +2025-07-02 14:05:19,739 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:13:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8481, top5_acc: 0.9831, loss_cls: 0.7292, loss: 0.7292 +2025-07-02 14:05:32,463 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 14:05:55,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:05:55,582 - pyskl - INFO - +top1_acc 0.8609 +top5_acc 0.9871 +2025-07-02 14:05:55,582 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8609, top5_acc: 0.9871 +2025-07-02 14:06:32,690 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:13:31, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9925, loss_cls: 0.5740, loss: 0.5740 +2025-07-02 14:06:48,578 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:13:15, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6487, loss: 0.6487 +2025-07-02 14:07:04,143 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:12:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8606, top5_acc: 0.9856, loss_cls: 0.7394, loss: 0.7394 +2025-07-02 14:07:19,656 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:12:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6620, loss: 0.6620 +2025-07-02 14:07:35,200 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:12:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 0.6614, loss: 0.6614 +2025-07-02 14:07:50,790 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:12:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9806, loss_cls: 0.6823, loss: 0.6823 +2025-07-02 14:08:06,390 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:11:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9806, loss_cls: 0.6649, loss: 0.6649 +2025-07-02 14:08:21,958 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:11:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9825, loss_cls: 0.6780, loss: 0.6780 +2025-07-02 14:08:37,562 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:11:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 0.6746, loss: 0.6746 +2025-07-02 14:08:53,166 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:10:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 0.7581, loss: 0.7581 +2025-07-02 14:09:08,721 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:10:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9844, loss_cls: 0.6577, loss: 0.6577 +2025-07-02 14:09:21,377 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 14:09:44,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:09:44,565 - pyskl - INFO - +top1_acc 0.6709 +top5_acc 0.9253 +2025-07-02 14:09:44,565 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.6709, top5_acc: 0.9253 +2025-07-02 14:10:21,844 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:10:41, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 0.6470, loss: 0.6470 +2025-07-02 14:10:37,518 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:10:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.5971, loss: 0.5971 +2025-07-02 14:10:53,261 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:10:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 0.6925, loss: 0.6925 +2025-07-02 14:11:08,872 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:09:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9794, loss_cls: 0.6655, loss: 0.6655 +2025-07-02 14:11:24,489 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:09:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9831, loss_cls: 0.6711, loss: 0.6711 +2025-07-02 14:11:40,276 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:09:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8562, top5_acc: 0.9794, loss_cls: 0.7422, loss: 0.7422 +2025-07-02 14:11:56,014 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:08:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 0.6989, loss: 0.6989 +2025-07-02 14:12:11,584 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:08:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 0.6739, loss: 0.6739 +2025-07-02 14:12:27,277 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:08:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 0.6761, loss: 0.6761 +2025-07-02 14:12:43,056 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:08:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8775, top5_acc: 0.9812, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 14:12:58,786 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:07:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 0.6445, loss: 0.6445 +2025-07-02 14:13:11,533 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 14:13:34,475 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:13:34,485 - pyskl - INFO - +top1_acc 0.5189 +top5_acc 0.8672 +2025-07-02 14:13:34,485 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.5189, top5_acc: 0.8672 +2025-07-02 14:14:11,833 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:07:52, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 0.5889, loss: 0.5889 +2025-07-02 14:14:27,444 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:07:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 0.6321, loss: 0.6321 +2025-07-02 14:14:42,919 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:07:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9831, loss_cls: 0.6396, loss: 0.6396 +2025-07-02 14:14:58,408 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:06:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.6039, loss: 0.6039 +2025-07-02 14:15:13,911 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:06:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 0.7054, loss: 0.7054 +2025-07-02 14:15:29,374 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:06:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.7012, loss: 0.7012 +2025-07-02 14:15:44,868 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:06:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5925, loss: 0.5925 +2025-07-02 14:16:00,347 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:05:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 0.6473, loss: 0.6473 +2025-07-02 14:16:15,906 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:05:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.6315, loss: 0.6315 +2025-07-02 14:16:31,455 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:05:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9806, loss_cls: 0.6903, loss: 0.6903 +2025-07-02 14:16:47,242 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:04:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.6615, loss: 0.6615 +2025-07-02 14:17:00,005 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 14:17:22,768 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:17:22,778 - pyskl - INFO - +top1_acc 0.8572 +top5_acc 0.9804 +2025-07-02 14:17:22,778 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8572, top5_acc: 0.9804 +2025-07-02 14:17:59,792 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:04:56, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5756, loss: 0.5756 +2025-07-02 14:18:15,341 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:04:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 14:18:30,901 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:04:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8706, top5_acc: 0.9812, loss_cls: 0.6847, loss: 0.6847 +2025-07-02 14:18:46,447 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:04:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9794, loss_cls: 0.6592, loss: 0.6592 +2025-07-02 14:19:02,015 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:03:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 0.6290, loss: 0.6290 +2025-07-02 14:19:17,647 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:03:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 0.6601, loss: 0.6601 +2025-07-02 14:19:33,286 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:03:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9794, loss_cls: 0.6343, loss: 0.6343 +2025-07-02 14:19:48,933 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:02:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 0.6586, loss: 0.6586 +2025-07-02 14:20:04,460 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:02:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.6153, loss: 0.6153 +2025-07-02 14:20:19,984 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:02:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.6238, loss: 0.6238 +2025-07-02 14:20:35,588 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:02:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6771, loss: 0.6771 +2025-07-02 14:20:48,292 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 14:21:11,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:21:11,012 - pyskl - INFO - +top1_acc 0.8402 +top5_acc 0.9793 +2025-07-02 14:21:11,012 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8402, top5_acc: 0.9793 +2025-07-02 14:21:47,855 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:01:59, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5994, loss: 0.5994 +2025-07-02 14:22:03,513 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:01:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9919, loss_cls: 0.6444, loss: 0.6444 +2025-07-02 14:22:19,111 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:01:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8638, top5_acc: 0.9838, loss_cls: 0.6797, loss: 0.6797 +2025-07-02 14:22:34,693 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:01:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8631, top5_acc: 0.9881, loss_cls: 0.7260, loss: 0.7260 +2025-07-02 14:22:50,237 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 6:00:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.6256, loss: 0.6256 +2025-07-02 14:23:05,776 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 6:00:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 14:23:21,328 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 6:00:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6296, loss: 0.6296 +2025-07-02 14:23:36,851 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:59:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 0.6460, loss: 0.6460 +2025-07-02 14:23:52,468 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:59:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6252, loss: 0.6252 +2025-07-02 14:24:08,126 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:59:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9800, loss_cls: 0.6541, loss: 0.6541 +2025-07-02 14:24:23,895 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:59:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5982, loss: 0.5982 +2025-07-02 14:24:36,683 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 14:24:59,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:24:59,501 - pyskl - INFO - +top1_acc 0.7740 +top5_acc 0.9497 +2025-07-02 14:24:59,501 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.7740, top5_acc: 0.9497 +2025-07-02 14:25:36,651 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:59:03, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.7256, loss: 0.7256 +2025-07-02 14:25:52,264 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:58:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5645, loss: 0.5645 +2025-07-02 14:26:07,926 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:58:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.6389, loss: 0.6389 +2025-07-02 14:26:23,479 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:58:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9812, loss_cls: 0.6369, loss: 0.6369 +2025-07-02 14:26:39,046 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:57:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9812, loss_cls: 0.6179, loss: 0.6179 +2025-07-02 14:26:54,630 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:57:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5579, loss: 0.5579 +2025-07-02 14:27:10,251 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:57:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5893, loss: 0.5893 +2025-07-02 14:27:25,810 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:57:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 0.5934, loss: 0.5934 +2025-07-02 14:27:41,388 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:56:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 0.5811, loss: 0.5811 +2025-07-02 14:27:56,995 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:56:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8569, top5_acc: 0.9869, loss_cls: 0.6919, loss: 0.6919 +2025-07-02 14:28:13,005 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:56:10, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9912, loss_cls: 0.5973, loss: 0.5973 +2025-07-02 14:28:25,789 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 14:28:48,641 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:28:48,651 - pyskl - INFO - +top1_acc 0.8010 +top5_acc 0.9671 +2025-07-02 14:28:48,651 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8010, top5_acc: 0.9671 +2025-07-02 14:29:25,548 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:56:07, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5326, loss: 0.5326 +2025-07-02 14:29:41,011 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:55:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9812, loss_cls: 0.6255, loss: 0.6255 +2025-07-02 14:29:56,465 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:55:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9875, loss_cls: 0.6373, loss: 0.6373 +2025-07-02 14:30:11,901 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:55:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.6095, loss: 0.6095 +2025-07-02 14:30:27,448 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:54:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5274, loss: 0.5274 +2025-07-02 14:30:43,084 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:54:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9906, loss_cls: 0.5966, loss: 0.5966 +2025-07-02 14:30:59,061 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:54:22, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.8681, top5_acc: 0.9788, loss_cls: 0.6688, loss: 0.6688 +2025-07-02 14:31:15,150 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:54:06, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6706, loss: 0.6706 +2025-07-02 14:31:30,911 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:53:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9806, loss_cls: 0.6038, loss: 0.6038 +2025-07-02 14:31:46,596 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:53:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.6105, loss: 0.6105 +2025-07-02 14:32:02,269 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:53:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.5412, loss: 0.5412 +2025-07-02 14:32:14,904 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 14:32:37,856 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:32:37,866 - pyskl - INFO - +top1_acc 0.8724 +top5_acc 0.9911 +2025-07-02 14:32:37,870 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_24.pth was removed +2025-07-02 14:32:37,982 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. +2025-07-02 14:32:37,983 - pyskl - INFO - Best top1_acc is 0.8724 at 38 epoch. +2025-07-02 14:32:37,984 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8724, top5_acc: 0.9911 +2025-07-02 14:33:14,955 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:53:10, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5817, loss: 0.5817 +2025-07-02 14:33:30,491 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:52:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.5237, loss: 0.5237 +2025-07-02 14:33:46,111 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:52:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 0.5831, loss: 0.5831 +2025-07-02 14:34:01,602 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:52:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9831, loss_cls: 0.6471, loss: 0.6471 +2025-07-02 14:34:17,095 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:52:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.6677, loss: 0.6677 +2025-07-02 14:34:32,635 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:51:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6630, loss: 0.6630 +2025-07-02 14:34:48,234 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:51:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5930, loss: 0.5930 +2025-07-02 14:35:03,798 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:51:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 0.6600, loss: 0.6600 +2025-07-02 14:35:19,406 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:50:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.6234, loss: 0.6234 +2025-07-02 14:35:34,969 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:50:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.5932, loss: 0.5932 +2025-07-02 14:35:50,566 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:50:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 0.6129, loss: 0.6129 +2025-07-02 14:36:03,291 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 14:36:26,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:36:26,664 - pyskl - INFO - +top1_acc 0.6786 +top5_acc 0.9120 +2025-07-02 14:36:26,665 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.6786, top5_acc: 0.9120 +2025-07-02 14:37:03,699 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:50:10, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.6137, loss: 0.6137 +2025-07-02 14:37:19,217 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:49:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5658, loss: 0.5658 +2025-07-02 14:37:34,782 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:49:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 0.6256, loss: 0.6256 +2025-07-02 14:37:50,351 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:49:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.5810, loss: 0.5810 +2025-07-02 14:38:05,980 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:49:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.5384, loss: 0.5384 +2025-07-02 14:38:21,549 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:48:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9919, loss_cls: 0.6174, loss: 0.6174 +2025-07-02 14:38:37,162 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:48:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 0.5924, loss: 0.5924 +2025-07-02 14:38:52,771 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:48:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9912, loss_cls: 0.6058, loss: 0.6058 +2025-07-02 14:39:08,469 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:47:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5874, loss: 0.5874 +2025-07-02 14:39:24,114 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:47:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9806, loss_cls: 0.5860, loss: 0.5860 +2025-07-02 14:39:39,738 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:47:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 0.6048, loss: 0.6048 +2025-07-02 14:39:52,452 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 14:40:15,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:40:15,086 - pyskl - INFO - +top1_acc 0.8425 +top5_acc 0.9819 +2025-07-02 14:40:15,086 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8425, top5_acc: 0.9819 +2025-07-02 14:40:52,039 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:47:11, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5448, loss: 0.5448 +2025-07-02 14:41:07,515 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:46:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5175, loss: 0.5175 +2025-07-02 14:41:22,996 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:46:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9838, loss_cls: 0.5603, loss: 0.5603 +2025-07-02 14:41:38,505 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:46:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9838, loss_cls: 0.5550, loss: 0.5550 +2025-07-02 14:41:54,003 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:46:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 0.5834, loss: 0.5834 +2025-07-02 14:42:09,589 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:45:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.6040, loss: 0.6040 +2025-07-02 14:42:25,218 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:45:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6782, loss: 0.6782 +2025-07-02 14:42:40,920 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:45:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5608, loss: 0.5608 +2025-07-02 14:42:56,787 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:44:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 0.5650, loss: 0.5650 +2025-07-02 14:43:12,511 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:44:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5885, loss: 0.5885 +2025-07-02 14:43:28,231 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:44:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.5944, loss: 0.5944 +2025-07-02 14:43:40,959 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 14:44:03,749 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:44:03,759 - pyskl - INFO - +top1_acc 0.7515 +top5_acc 0.9641 +2025-07-02 14:44:03,759 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.7515, top5_acc: 0.9641 +2025-07-02 14:44:40,726 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:44:11, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9838, loss_cls: 0.5748, loss: 0.5748 +2025-07-02 14:44:56,265 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:43:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5562, loss: 0.5562 +2025-07-02 14:45:11,832 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:43:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 0.6017, loss: 0.6017 +2025-07-02 14:45:27,393 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:43:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5810, loss: 0.5810 +2025-07-02 14:45:42,955 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:43:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9862, loss_cls: 0.5650, loss: 0.5650 +2025-07-02 14:45:58,514 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:42:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 0.6108, loss: 0.6108 +2025-07-02 14:46:14,099 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:42:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9831, loss_cls: 0.5887, loss: 0.5887 +2025-07-02 14:46:29,669 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:42:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5510, loss: 0.5510 +2025-07-02 14:46:45,258 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:41:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.5953, loss: 0.5953 +2025-07-02 14:47:00,853 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:41:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 0.6376, loss: 0.6376 +2025-07-02 14:47:16,499 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:41:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.6409, loss: 0.6409 +2025-07-02 14:47:29,156 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 14:47:52,160 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:47:52,170 - pyskl - INFO - +top1_acc 0.8580 +top5_acc 0.9915 +2025-07-02 14:47:52,171 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.8580, top5_acc: 0.9915 +2025-07-02 14:48:29,221 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:41:09, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.5337, loss: 0.5337 +2025-07-02 14:48:44,782 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:40:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 0.5636, loss: 0.5636 +2025-07-02 14:49:00,407 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:40:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5503, loss: 0.5503 +2025-07-02 14:49:15,915 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:40:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5725, loss: 0.5725 +2025-07-02 14:49:31,404 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:39:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 0.5912, loss: 0.5912 +2025-07-02 14:49:47,050 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:39:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5444, loss: 0.5444 +2025-07-02 14:50:02,618 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:39:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6367, loss: 0.6367 +2025-07-02 14:50:18,525 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:39:08, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5429, loss: 0.5429 +2025-07-02 14:50:34,208 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:38:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5782, loss: 0.5782 +2025-07-02 14:50:49,780 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:38:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.6125, loss: 0.6125 +2025-07-02 14:51:05,315 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:38:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5781, loss: 0.5781 +2025-07-02 14:51:17,953 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 14:51:40,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:51:40,927 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9915 +2025-07-02 14:51:40,928 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8706, top5_acc: 0.9915 +2025-07-02 14:52:18,347 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:38:09, time: 0.374, data_time: 0.213, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 14:52:33,958 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:37:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5323, loss: 0.5323 +2025-07-02 14:52:49,484 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:37:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5539, loss: 0.5539 +2025-07-02 14:53:04,970 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:37:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.5758, loss: 0.5758 +2025-07-02 14:53:20,461 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:36:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9925, loss_cls: 0.5862, loss: 0.5862 +2025-07-02 14:53:35,987 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:36:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9888, loss_cls: 0.5998, loss: 0.5998 +2025-07-02 14:53:51,574 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:36:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 0.6319, loss: 0.6319 +2025-07-02 14:54:07,219 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:36:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.5947, loss: 0.5947 +2025-07-02 14:54:22,802 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:35:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.5640, loss: 0.5640 +2025-07-02 14:54:38,275 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:35:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9825, loss_cls: 0.6087, loss: 0.6087 +2025-07-02 14:54:53,802 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:35:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.6047, loss: 0.6047 +2025-07-02 14:55:06,658 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 14:55:29,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:55:29,800 - pyskl - INFO - +top1_acc 0.8591 +top5_acc 0.9874 +2025-07-02 14:55:29,801 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.8591, top5_acc: 0.9874 +2025-07-02 14:56:07,111 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:35:07, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5299, loss: 0.5299 +2025-07-02 14:56:22,614 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:34:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4704, loss: 0.4704 +2025-07-02 14:56:38,077 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:34:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 0.5732, loss: 0.5732 +2025-07-02 14:56:53,503 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:34:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 0.5947, loss: 0.5947 +2025-07-02 14:57:08,940 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:33:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5825, loss: 0.5825 +2025-07-02 14:57:24,488 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:33:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9850, loss_cls: 0.5820, loss: 0.5820 +2025-07-02 14:57:40,040 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:33:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 14:57:55,650 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:33:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9869, loss_cls: 0.5484, loss: 0.5484 +2025-07-02 14:58:11,241 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:32:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5480, loss: 0.5480 +2025-07-02 14:58:26,819 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:32:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5527, loss: 0.5527 +2025-07-02 14:58:42,491 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:32:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9850, loss_cls: 0.5757, loss: 0.5757 +2025-07-02 14:58:55,203 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 14:59:18,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:59:18,317 - pyskl - INFO - +top1_acc 0.8968 +top5_acc 0.9933 +2025-07-02 14:59:18,320 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_38.pth was removed +2025-07-02 14:59:18,430 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. +2025-07-02 14:59:18,430 - pyskl - INFO - Best top1_acc is 0.8968 at 45 epoch. +2025-07-02 14:59:18,431 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8968, top5_acc: 0.9933 +2025-07-02 14:59:55,619 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:32:03, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 15:00:11,385 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:31:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5428, loss: 0.5428 +2025-07-02 15:00:26,918 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:31:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 0.5880, loss: 0.5880 +2025-07-02 15:00:42,419 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:31:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5603, loss: 0.5603 +2025-07-02 15:00:57,931 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:30:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 15:01:13,571 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:30:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.5185, loss: 0.5185 +2025-07-02 15:01:29,214 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:30:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5506, loss: 0.5506 +2025-07-02 15:01:44,852 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:30:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5720, loss: 0.5720 +2025-07-02 15:02:00,472 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:29:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5031, loss: 0.5031 +2025-07-02 15:02:16,155 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:29:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 0.5985, loss: 0.5985 +2025-07-02 15:02:31,729 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:29:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 0.5640, loss: 0.5640 +2025-07-02 15:02:44,344 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 15:03:07,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:03:07,464 - pyskl - INFO - +top1_acc 0.8754 +top5_acc 0.9930 +2025-07-02 15:03:07,464 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.8754, top5_acc: 0.9930 +2025-07-02 15:03:44,038 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:28:59, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5080, loss: 0.5080 +2025-07-02 15:03:59,622 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:28:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 0.5721, loss: 0.5721 +2025-07-02 15:04:15,195 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:28:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5251, loss: 0.5251 +2025-07-02 15:04:30,762 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:28:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5684, loss: 0.5684 +2025-07-02 15:04:46,347 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:27:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5248, loss: 0.5248 +2025-07-02 15:05:01,895 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:27:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 0.5327, loss: 0.5327 +2025-07-02 15:05:17,488 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:27:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.5688, loss: 0.5688 +2025-07-02 15:05:33,155 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:26:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6014, loss: 0.6014 +2025-07-02 15:05:48,806 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:26:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5336, loss: 0.5336 +2025-07-02 15:06:04,234 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:26:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5866, loss: 0.5866 +2025-07-02 15:06:19,699 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:26:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6255, loss: 0.6255 +2025-07-02 15:06:32,299 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 15:06:55,385 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:06:55,394 - pyskl - INFO - +top1_acc 0.7256 +top5_acc 0.9253 +2025-07-02 15:06:55,395 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.7256, top5_acc: 0.9253 +2025-07-02 15:07:32,292 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:25:55, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4768, loss: 0.4768 +2025-07-02 15:07:47,878 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:25:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5089, loss: 0.5089 +2025-07-02 15:08:03,469 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:25:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5407, loss: 0.5407 +2025-07-02 15:08:18,987 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:25:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9912, loss_cls: 0.5862, loss: 0.5862 +2025-07-02 15:08:34,509 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:24:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5518, loss: 0.5518 +2025-07-02 15:08:50,038 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:24:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 0.5754, loss: 0.5754 +2025-07-02 15:09:05,618 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:24:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 15:09:21,171 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:23:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5476, loss: 0.5476 +2025-07-02 15:09:36,781 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:23:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9831, loss_cls: 0.5689, loss: 0.5689 +2025-07-02 15:09:52,372 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:23:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9838, loss_cls: 0.5809, loss: 0.5809 +2025-07-02 15:10:07,960 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:23:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 15:10:20,697 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 15:10:43,786 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:10:43,796 - pyskl - INFO - +top1_acc 0.8842 +top5_acc 0.9941 +2025-07-02 15:10:43,796 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.8842, top5_acc: 0.9941 +2025-07-02 15:11:20,965 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:22:51, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4836, loss: 0.4836 +2025-07-02 15:11:36,530 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:22:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 15:11:52,106 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:22:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5657, loss: 0.5657 +2025-07-02 15:12:07,660 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:21:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9844, loss_cls: 0.5703, loss: 0.5703 +2025-07-02 15:12:23,229 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:21:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 15:12:38,846 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:21:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5378, loss: 0.5378 +2025-07-02 15:12:54,428 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:21:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5080, loss: 0.5080 +2025-07-02 15:13:10,100 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:20:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5239, loss: 0.5239 +2025-07-02 15:13:25,854 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:20:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5153, loss: 0.5153 +2025-07-02 15:13:41,518 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:20:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5165, loss: 0.5165 +2025-07-02 15:13:57,181 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:19:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9825, loss_cls: 0.5532, loss: 0.5532 +2025-07-02 15:14:09,993 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 15:14:33,090 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:14:33,101 - pyskl - INFO - +top1_acc 0.8639 +top5_acc 0.9885 +2025-07-02 15:14:33,101 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.8639, top5_acc: 0.9885 +2025-07-02 15:15:10,045 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:19:47, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9850, loss_cls: 0.5499, loss: 0.5499 +2025-07-02 15:15:25,543 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:19:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.4815, loss: 0.4815 +2025-07-02 15:15:41,023 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:19:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.4918, loss: 0.4918 +2025-07-02 15:15:56,525 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:18:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9850, loss_cls: 0.5261, loss: 0.5261 +2025-07-02 15:16:12,049 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:18:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5403, loss: 0.5403 +2025-07-02 15:16:27,579 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:18:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5829, loss: 0.5829 +2025-07-02 15:16:43,111 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:18:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5273, loss: 0.5273 +2025-07-02 15:16:58,677 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:17:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9938, loss_cls: 0.5058, loss: 0.5058 +2025-07-02 15:17:14,253 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:17:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 0.5516, loss: 0.5516 +2025-07-02 15:17:29,867 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:17:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 0.5809, loss: 0.5809 +2025-07-02 15:17:45,524 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:16:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.5074, loss: 0.5074 +2025-07-02 15:17:58,297 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 15:18:21,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:18:21,315 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9945 +2025-07-02 15:18:21,316 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8817, top5_acc: 0.9945 +2025-07-02 15:18:58,985 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:16:43, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5248, loss: 0.5248 +2025-07-02 15:19:14,544 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:16:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9869, loss_cls: 0.5216, loss: 0.5216 +2025-07-02 15:19:30,134 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:16:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4825, loss: 0.4825 +2025-07-02 15:19:45,785 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:15:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5396, loss: 0.5396 +2025-07-02 15:20:01,370 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:15:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 0.5528, loss: 0.5528 +2025-07-02 15:20:16,997 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:15:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4932, loss: 0.4932 +2025-07-02 15:20:32,629 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:15:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4780, loss: 0.4780 +2025-07-02 15:20:48,308 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:14:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5282, loss: 0.5282 +2025-07-02 15:21:04,023 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:14:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.5106, loss: 0.5106 +2025-07-02 15:21:19,684 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:14:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.6035, loss: 0.6035 +2025-07-02 15:21:35,271 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:13:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5651, loss: 0.5651 +2025-07-02 15:21:47,920 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 15:22:11,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:22:11,026 - pyskl - INFO - +top1_acc 0.7851 +top5_acc 0.9641 +2025-07-02 15:22:11,026 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.7851, top5_acc: 0.9641 +2025-07-02 15:22:48,340 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:13:40, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 0.5231, loss: 0.5231 +2025-07-02 15:23:03,896 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:13:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.5215, loss: 0.5215 +2025-07-02 15:23:19,510 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:13:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.5250, loss: 0.5250 +2025-07-02 15:23:35,039 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:12:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9875, loss_cls: 0.5032, loss: 0.5032 +2025-07-02 15:23:50,486 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:12:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4764, loss: 0.4764 +2025-07-02 15:24:06,000 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:12:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5157, loss: 0.5157 +2025-07-02 15:24:21,516 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:11:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5470, loss: 0.5470 +2025-07-02 15:24:37,082 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:11:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9906, loss_cls: 0.5798, loss: 0.5798 +2025-07-02 15:24:52,741 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:11:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.5020, loss: 0.5020 +2025-07-02 15:25:08,370 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:11:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4972, loss: 0.4972 +2025-07-02 15:25:24,074 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:10:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 15:25:36,815 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 15:26:00,026 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:26:00,037 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9908 +2025-07-02 15:26:00,040 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_45.pth was removed +2025-07-02 15:26:00,151 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-07-02 15:26:00,151 - pyskl - INFO - Best top1_acc is 0.9098 at 52 epoch. +2025-07-02 15:26:00,152 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9098, top5_acc: 0.9908 +2025-07-02 15:26:37,778 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:10:35, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 0.4538, loss: 0.4538 +2025-07-02 15:26:53,305 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:10:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5363, loss: 0.5363 +2025-07-02 15:27:08,833 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:10:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4482, loss: 0.4482 +2025-07-02 15:27:24,374 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:09:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5266, loss: 0.5266 +2025-07-02 15:27:39,925 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:09:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4818, loss: 0.4818 +2025-07-02 15:27:55,510 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:09:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5224, loss: 0.5224 +2025-07-02 15:28:11,126 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:08:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 0.5727, loss: 0.5727 +2025-07-02 15:28:26,753 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:08:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 0.5978, loss: 0.5978 +2025-07-02 15:28:42,356 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:08:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 0.5636, loss: 0.5636 +2025-07-02 15:28:58,024 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:08:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.5219, loss: 0.5219 +2025-07-02 15:29:13,864 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:07:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.5031, loss: 0.5031 +2025-07-02 15:29:26,629 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 15:29:49,964 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:29:49,975 - pyskl - INFO - +top1_acc 0.8695 +top5_acc 0.9926 +2025-07-02 15:29:49,975 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.8695, top5_acc: 0.9926 +2025-07-02 15:30:27,695 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:07:31, time: 0.377, data_time: 0.215, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 0.5381, loss: 0.5381 +2025-07-02 15:30:43,261 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:07:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 15:30:58,811 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:06:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9838, loss_cls: 0.5443, loss: 0.5443 +2025-07-02 15:31:14,346 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:06:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5099, loss: 0.5099 +2025-07-02 15:31:29,876 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:06:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 0.5163, loss: 0.5163 +2025-07-02 15:31:45,443 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:06:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5215, loss: 0.5215 +2025-07-02 15:32:00,961 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:05:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5285, loss: 0.5285 +2025-07-02 15:32:16,495 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:05:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4627, loss: 0.4627 +2025-07-02 15:32:32,083 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:05:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 15:32:47,763 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:04:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5089, loss: 0.5089 +2025-07-02 15:33:03,618 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:04:39, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.4903, loss: 0.4903 +2025-07-02 15:33:16,438 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 15:33:39,526 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:33:39,536 - pyskl - INFO - +top1_acc 0.8695 +top5_acc 0.9834 +2025-07-02 15:33:39,536 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8695, top5_acc: 0.9834 +2025-07-02 15:34:16,488 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:04:25, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.4990, loss: 0.4990 +2025-07-02 15:34:32,003 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:04:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4396, loss: 0.4396 +2025-07-02 15:34:47,535 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:03:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4859, loss: 0.4859 +2025-07-02 15:35:03,110 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:03:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 15:35:18,678 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:03:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5311, loss: 0.5311 +2025-07-02 15:35:34,275 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:02:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 0.4973, loss: 0.4973 +2025-07-02 15:35:49,917 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:02:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9894, loss_cls: 0.4164, loss: 0.4164 +2025-07-02 15:36:05,568 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:02:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.4845, loss: 0.4845 +2025-07-02 15:36:21,237 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:02:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 0.5014, loss: 0.5014 +2025-07-02 15:36:36,777 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:01:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9925, loss_cls: 0.5771, loss: 0.5771 +2025-07-02 15:36:52,343 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:01:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4725, loss: 0.4725 +2025-07-02 15:37:05,066 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 15:37:28,258 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:37:28,268 - pyskl - INFO - +top1_acc 0.8388 +top5_acc 0.9834 +2025-07-02 15:37:28,269 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.8388, top5_acc: 0.9834 +2025-07-02 15:38:05,742 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:01:20, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.4282, loss: 0.4282 +2025-07-02 15:38:21,307 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:01:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4781, loss: 0.4781 +2025-07-02 15:38:36,936 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 0.4555, loss: 0.4555 +2025-07-02 15:38:52,516 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 5:00:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.4812, loss: 0.4812 +2025-07-02 15:39:08,160 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 5:00:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5280, loss: 0.5280 +2025-07-02 15:39:23,791 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9869, loss_cls: 0.4926, loss: 0.4926 +2025-07-02 15:39:39,409 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:59:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.5152, loss: 0.5152 +2025-07-02 15:39:54,967 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:59:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5443, loss: 0.5443 +2025-07-02 15:40:10,514 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:59:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9881, loss_cls: 0.4727, loss: 0.4727 +2025-07-02 15:40:26,081 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:58:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5335, loss: 0.5335 +2025-07-02 15:40:41,690 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:58:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 15:40:54,349 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 15:41:17,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:41:17,615 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9926 +2025-07-02 15:41:17,616 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.8735, top5_acc: 0.9926 +2025-07-02 15:41:54,953 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:58:14, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 0.4762, loss: 0.4762 +2025-07-02 15:42:10,506 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:57:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.4717, loss: 0.4717 +2025-07-02 15:42:26,107 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:57:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4687, loss: 0.4687 +2025-07-02 15:42:41,713 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:57:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4614, loss: 0.4614 +2025-07-02 15:42:57,333 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:57:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4849, loss: 0.4849 +2025-07-02 15:43:12,948 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:56:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.5112, loss: 0.5112 +2025-07-02 15:43:28,559 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:56:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 15:43:44,148 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:56:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5644, loss: 0.5644 +2025-07-02 15:43:59,696 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:55:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4939, loss: 0.4939 +2025-07-02 15:44:15,230 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:55:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 15:44:30,889 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:55:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 0.4618, loss: 0.4618 +2025-07-02 15:44:43,569 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 15:45:06,820 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:45:06,834 - pyskl - INFO - +top1_acc 0.8717 +top5_acc 0.9908 +2025-07-02 15:45:06,835 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.8717, top5_acc: 0.9908 +2025-07-02 15:45:43,988 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:55:07, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4653, loss: 0.4653 +2025-07-02 15:45:59,511 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:54:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9944, loss_cls: 0.5034, loss: 0.5034 +2025-07-02 15:46:15,063 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:54:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4618, loss: 0.4618 +2025-07-02 15:46:30,702 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:54:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5010, loss: 0.5010 +2025-07-02 15:46:46,255 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:53:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4697, loss: 0.4697 +2025-07-02 15:47:01,824 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:53:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5638, loss: 0.5638 +2025-07-02 15:47:17,379 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:53:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.5161, loss: 0.5161 +2025-07-02 15:47:32,913 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:53:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9919, loss_cls: 0.5364, loss: 0.5364 +2025-07-02 15:47:48,467 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:52:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5279, loss: 0.5279 +2025-07-02 15:48:04,049 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:52:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4268, loss: 0.4268 +2025-07-02 15:48:19,722 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:52:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9931, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 15:48:32,517 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 15:48:55,826 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:48:55,836 - pyskl - INFO - +top1_acc 0.8680 +top5_acc 0.9878 +2025-07-02 15:48:55,836 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.8680, top5_acc: 0.9878 +2025-07-02 15:49:33,060 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:52:01, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4969, loss: 0.4969 +2025-07-02 15:49:48,599 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:51:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4889, loss: 0.4889 +2025-07-02 15:50:04,162 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:51:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4388, loss: 0.4388 +2025-07-02 15:50:19,691 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:51:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 15:50:35,219 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:50:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4511, loss: 0.4511 +2025-07-02 15:50:50,804 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:50:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4997, loss: 0.4997 +2025-07-02 15:51:06,454 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:50:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9862, loss_cls: 0.5235, loss: 0.5235 +2025-07-02 15:51:22,083 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:50:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4957, loss: 0.4957 +2025-07-02 15:51:37,719 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:49:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4466, loss: 0.4466 +2025-07-02 15:51:53,373 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:49:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5077, loss: 0.5077 +2025-07-02 15:52:08,956 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:49:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5121, loss: 0.5121 +2025-07-02 15:52:21,639 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 15:52:44,909 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:52:44,920 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9937 +2025-07-02 15:52:44,920 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.8972, top5_acc: 0.9937 +2025-07-02 15:53:22,086 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:48:54, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.4724, loss: 0.4724 +2025-07-02 15:53:37,613 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:48:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9881, loss_cls: 0.5104, loss: 0.5104 +2025-07-02 15:53:53,093 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:48:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4334, loss: 0.4334 +2025-07-02 15:54:08,617 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:48:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 15:54:24,111 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:47:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4275, loss: 0.4275 +2025-07-02 15:54:39,690 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:47:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.5125, loss: 0.5125 +2025-07-02 15:54:55,269 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:47:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.5195, loss: 0.5195 +2025-07-02 15:55:10,858 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:46:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 15:55:26,403 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:46:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4354, loss: 0.4354 +2025-07-02 15:55:42,033 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:46:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4507, loss: 0.4507 +2025-07-02 15:55:57,638 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:46:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4644, loss: 0.4644 +2025-07-02 15:56:10,330 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 15:56:33,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:56:33,817 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9937 +2025-07-02 15:56:33,817 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.8924, top5_acc: 0.9937 +2025-07-02 15:57:11,112 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:45:46, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.4907, loss: 0.4907 +2025-07-02 15:57:26,667 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:45:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 15:57:42,327 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:45:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.4708, loss: 0.4708 +2025-07-02 15:57:57,962 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:44:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4308, loss: 0.4308 +2025-07-02 15:58:13,582 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:44:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 15:58:29,213 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:44:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9944, loss_cls: 0.4557, loss: 0.4557 +2025-07-02 15:58:44,781 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:44:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4629, loss: 0.4629 +2025-07-02 15:59:00,317 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:43:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 15:59:15,834 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:43:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5020, loss: 0.5020 +2025-07-02 15:59:31,418 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:43:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 0.5396, loss: 0.5396 +2025-07-02 15:59:47,021 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:42:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4629, loss: 0.4629 +2025-07-02 15:59:59,710 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 16:00:23,029 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:00:23,040 - pyskl - INFO - +top1_acc 0.8680 +top5_acc 0.9837 +2025-07-02 16:00:23,040 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.8680, top5_acc: 0.9837 +2025-07-02 16:01:00,247 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:42:39, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4549, loss: 0.4549 +2025-07-02 16:01:15,795 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:42:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4648, loss: 0.4648 +2025-07-02 16:01:31,305 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:42:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.4097, loss: 0.4097 +2025-07-02 16:01:46,788 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:41:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4719, loss: 0.4719 +2025-07-02 16:02:02,285 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:41:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4598, loss: 0.4598 +2025-07-02 16:02:17,813 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:41:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 16:02:33,374 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:40:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.4282, loss: 0.4282 +2025-07-02 16:02:48,975 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:40:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5112, loss: 0.5112 +2025-07-02 16:03:04,560 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:40:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5160, loss: 0.5160 +2025-07-02 16:03:20,159 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:40:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 16:03:35,740 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:39:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.4994, loss: 0.4994 +2025-07-02 16:03:48,407 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 16:04:11,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:04:11,637 - pyskl - INFO - +top1_acc 0.8739 +top5_acc 0.9878 +2025-07-02 16:04:11,637 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.8739, top5_acc: 0.9878 +2025-07-02 16:04:48,868 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:39:31, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4100, loss: 0.4100 +2025-07-02 16:05:04,436 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:39:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5065, loss: 0.5065 +2025-07-02 16:05:19,966 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:38:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.4646, loss: 0.4646 +2025-07-02 16:05:35,507 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:38:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.4679, loss: 0.4679 +2025-07-02 16:05:51,033 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:38:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4298, loss: 0.4298 +2025-07-02 16:06:06,517 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:38:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 16:06:22,027 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:37:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 0.4320, loss: 0.4320 +2025-07-02 16:06:37,579 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:37:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.5054, loss: 0.5054 +2025-07-02 16:06:53,086 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:37:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 16:07:08,578 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:36:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4527, loss: 0.4527 +2025-07-02 16:07:24,214 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:36:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 0.4429, loss: 0.4429 +2025-07-02 16:07:36,927 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 16:07:59,997 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:08:00,008 - pyskl - INFO - +top1_acc 0.8783 +top5_acc 0.9885 +2025-07-02 16:08:00,008 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.8783, top5_acc: 0.9885 +2025-07-02 16:08:36,976 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:36:23, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.4001, loss: 0.4001 +2025-07-02 16:08:52,459 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:36:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4163, loss: 0.4163 +2025-07-02 16:09:07,952 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:35:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4529, loss: 0.4529 +2025-07-02 16:09:23,471 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:35:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5482, loss: 0.5482 +2025-07-02 16:09:38,961 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:35:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4288, loss: 0.4288 +2025-07-02 16:09:54,551 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:34:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4177, loss: 0.4177 +2025-07-02 16:10:10,127 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:34:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4488, loss: 0.4488 +2025-07-02 16:10:25,694 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:34:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4649, loss: 0.4649 +2025-07-02 16:10:41,222 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:34:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4230, loss: 0.4230 +2025-07-02 16:10:56,798 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:33:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 16:11:12,419 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:33:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4298, loss: 0.4298 +2025-07-02 16:11:25,161 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 16:11:48,169 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:11:48,179 - pyskl - INFO - +top1_acc 0.8539 +top5_acc 0.9915 +2025-07-02 16:11:48,179 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.8539, top5_acc: 0.9915 +2025-07-02 16:12:25,625 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:33:15, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3728, loss: 0.3728 +2025-07-02 16:12:41,245 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:32:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4340, loss: 0.4340 +2025-07-02 16:12:56,873 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:32:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4248, loss: 0.4248 +2025-07-02 16:13:12,447 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:32:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4005, loss: 0.4005 +2025-07-02 16:13:28,087 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:32:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 0.4120, loss: 0.4120 +2025-07-02 16:13:43,727 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:31:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4448, loss: 0.4448 +2025-07-02 16:13:59,349 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:31:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4471, loss: 0.4471 +2025-07-02 16:14:14,980 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:31:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 0.4561, loss: 0.4561 +2025-07-02 16:14:30,527 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:30:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5156, loss: 0.5156 +2025-07-02 16:14:46,082 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:30:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4687, loss: 0.4687 +2025-07-02 16:15:01,699 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:30:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.4868, loss: 0.4868 +2025-07-02 16:15:14,357 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 16:15:37,578 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:15:37,588 - pyskl - INFO - +top1_acc 0.7452 +top5_acc 0.9320 +2025-07-02 16:15:37,589 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.7452, top5_acc: 0.9320 +2025-07-02 16:16:14,445 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:30:06, time: 0.369, data_time: 0.208, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4588, loss: 0.4588 +2025-07-02 16:16:30,069 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:29:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.4750, loss: 0.4750 +2025-07-02 16:16:45,682 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:29:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4163, loss: 0.4163 +2025-07-02 16:17:01,288 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:29:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 16:17:16,774 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:28:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4302, loss: 0.4302 +2025-07-02 16:17:32,297 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:28:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.4803, loss: 0.4803 +2025-07-02 16:17:47,934 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:28:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4275, loss: 0.4275 +2025-07-02 16:18:03,769 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:28:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4189, loss: 0.4189 +2025-07-02 16:18:19,456 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:27:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4243, loss: 0.4243 +2025-07-02 16:18:34,950 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:27:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9956, loss_cls: 0.4338, loss: 0.4338 +2025-07-02 16:18:50,497 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:27:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4342, loss: 0.4342 +2025-07-02 16:19:03,126 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 16:19:25,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:19:25,941 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9922 +2025-07-02 16:19:25,941 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.8735, top5_acc: 0.9922 +2025-07-02 16:20:02,792 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:26:58, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4543, loss: 0.4543 +2025-07-02 16:20:18,528 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:26:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3801, loss: 0.3801 +2025-07-02 16:20:34,088 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:26:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 16:20:49,597 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:26:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.4705, loss: 0.4705 +2025-07-02 16:21:05,126 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:25:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4419, loss: 0.4419 +2025-07-02 16:21:20,805 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:25:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4120, loss: 0.4120 +2025-07-02 16:21:36,448 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:25:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4094, loss: 0.4094 +2025-07-02 16:21:52,141 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:25:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4621, loss: 0.4621 +2025-07-02 16:22:07,635 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:24:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4385, loss: 0.4385 +2025-07-02 16:22:23,091 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:24:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 16:22:38,635 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:24:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 16:22:51,452 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 16:23:14,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:23:14,982 - pyskl - INFO - +top1_acc 0.8953 +top5_acc 0.9915 +2025-07-02 16:23:14,983 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.8953, top5_acc: 0.9915 +2025-07-02 16:23:52,410 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:23:50, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4217, loss: 0.4217 +2025-07-02 16:24:08,131 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:23:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 16:24:23,731 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:23:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4547, loss: 0.4547 +2025-07-02 16:24:39,314 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:22:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 0.4611, loss: 0.4611 +2025-07-02 16:24:54,914 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:22:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9888, loss_cls: 0.4303, loss: 0.4303 +2025-07-02 16:25:10,478 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:22:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3946, loss: 0.3946 +2025-07-02 16:25:26,031 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:22:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9875, loss_cls: 0.4252, loss: 0.4252 +2025-07-02 16:25:41,639 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:21:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4400, loss: 0.4400 +2025-07-02 16:25:57,252 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:21:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3929, loss: 0.3929 +2025-07-02 16:26:12,834 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:21:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.4206, loss: 0.4206 +2025-07-02 16:26:28,378 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:21:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4375, loss: 0.4375 +2025-07-02 16:26:41,006 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 16:27:04,023 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:27:04,034 - pyskl - INFO - +top1_acc 0.8850 +top5_acc 0.9908 +2025-07-02 16:27:04,034 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.8850, top5_acc: 0.9908 +2025-07-02 16:27:41,001 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:20:42, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4348, loss: 0.4348 +2025-07-02 16:27:56,714 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:20:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9969, loss_cls: 0.3767, loss: 0.3767 +2025-07-02 16:28:12,296 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:20:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4346, loss: 0.4346 +2025-07-02 16:28:27,711 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:19:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3791, loss: 0.3791 +2025-07-02 16:28:43,171 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:19:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4375, loss: 0.4375 +2025-07-02 16:28:58,650 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:19:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4722, loss: 0.4722 +2025-07-02 16:29:14,170 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:19:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 16:29:29,708 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:18:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 16:29:45,272 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:18:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4485, loss: 0.4485 +2025-07-02 16:30:00,807 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:18:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.4016, loss: 0.4016 +2025-07-02 16:30:16,345 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:17:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 0.4241, loss: 0.4241 +2025-07-02 16:30:29,011 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 16:30:52,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:30:52,098 - pyskl - INFO - +top1_acc 0.8680 +top5_acc 0.9859 +2025-07-02 16:30:52,099 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.8680, top5_acc: 0.9859 +2025-07-02 16:31:29,206 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:17:32, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 16:31:44,797 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:17:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.4293, loss: 0.4293 +2025-07-02 16:32:00,350 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:16:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3727, loss: 0.3727 +2025-07-02 16:32:15,883 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:16:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3362, loss: 0.3362 +2025-07-02 16:32:31,415 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:16:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 16:32:46,958 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:16:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4550, loss: 0.4550 +2025-07-02 16:33:02,532 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:15:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4273, loss: 0.4273 +2025-07-02 16:33:18,183 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:15:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4180, loss: 0.4180 +2025-07-02 16:33:33,705 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:15:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9950, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 16:33:49,224 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:15:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4444, loss: 0.4444 +2025-07-02 16:34:04,694 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:14:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.3805, loss: 0.3805 +2025-07-02 16:34:17,383 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 16:34:40,357 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:34:40,367 - pyskl - INFO - +top1_acc 0.8746 +top5_acc 0.9922 +2025-07-02 16:34:40,368 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.8746, top5_acc: 0.9922 +2025-07-02 16:35:17,428 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:14:23, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4325, loss: 0.4325 +2025-07-02 16:35:32,869 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:14:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3893, loss: 0.3893 +2025-07-02 16:35:48,470 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:13:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3760, loss: 0.3760 +2025-07-02 16:36:04,015 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:13:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3569, loss: 0.3569 +2025-07-02 16:36:19,566 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:13:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4181, loss: 0.4181 +2025-07-02 16:36:35,151 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:12:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4484, loss: 0.4484 +2025-07-02 16:36:50,755 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:12:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4130, loss: 0.4130 +2025-07-02 16:37:06,414 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:12:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.4053, loss: 0.4053 +2025-07-02 16:37:22,063 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:12:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3959, loss: 0.3959 +2025-07-02 16:37:37,654 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:11:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.3981, loss: 0.3981 +2025-07-02 16:37:53,265 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:11:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.3986, loss: 0.3986 +2025-07-02 16:38:05,883 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 16:38:28,919 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:38:28,930 - pyskl - INFO - +top1_acc 0.8761 +top5_acc 0.9930 +2025-07-02 16:38:28,930 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.8761, top5_acc: 0.9930 +2025-07-02 16:39:05,891 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:11:14, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 16:39:21,531 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:10:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3703, loss: 0.3703 +2025-07-02 16:39:37,185 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:10:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 16:39:52,755 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:10:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4216, loss: 0.4216 +2025-07-02 16:40:08,339 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:10:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4092, loss: 0.4092 +2025-07-02 16:40:23,925 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:09:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 0.4356, loss: 0.4356 +2025-07-02 16:40:39,468 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:09:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3719, loss: 0.3719 +2025-07-02 16:40:55,087 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:09:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.4224, loss: 0.4224 +2025-07-02 16:41:10,642 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:08:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3791, loss: 0.3791 +2025-07-02 16:41:26,164 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:08:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.3922, loss: 0.3922 +2025-07-02 16:41:41,718 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:08:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3792, loss: 0.3792 +2025-07-02 16:41:54,396 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 16:42:17,372 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:42:17,383 - pyskl - INFO - +top1_acc 0.8757 +top5_acc 0.9904 +2025-07-02 16:42:17,383 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.8757, top5_acc: 0.9904 +2025-07-02 16:42:54,723 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:08:06, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3427, loss: 0.3427 +2025-07-02 16:43:10,394 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:07:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 0.3836, loss: 0.3836 +2025-07-02 16:43:26,022 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:07:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 0.4487, loss: 0.4487 +2025-07-02 16:43:41,585 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:07:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.3771, loss: 0.3771 +2025-07-02 16:43:57,151 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:06:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 16:44:12,700 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:06:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4050, loss: 0.4050 +2025-07-02 16:44:28,177 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:06:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4590, loss: 0.4590 +2025-07-02 16:44:43,706 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:06:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 16:44:59,184 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:05:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3743, loss: 0.3743 +2025-07-02 16:45:14,697 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:05:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.4828, loss: 0.4828 +2025-07-02 16:45:30,181 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:05:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3877, loss: 0.3877 +2025-07-02 16:45:42,830 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 16:46:05,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:46:05,929 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9915 +2025-07-02 16:46:05,929 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.8976, top5_acc: 0.9915 +2025-07-02 16:46:43,323 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:04:56, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 0.3441, loss: 0.3441 +2025-07-02 16:46:59,012 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:04:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3546, loss: 0.3546 +2025-07-02 16:47:14,696 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:04:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.3870, loss: 0.3870 +2025-07-02 16:47:30,356 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:04:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3525, loss: 0.3525 +2025-07-02 16:47:46,003 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:03:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3431, loss: 0.3431 +2025-07-02 16:48:01,692 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:03:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.3963, loss: 0.3963 +2025-07-02 16:48:17,347 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:03:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4183, loss: 0.4183 +2025-07-02 16:48:32,982 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:02:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3455, loss: 0.3455 +2025-07-02 16:48:48,580 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:02:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3661, loss: 0.3661 +2025-07-02 16:49:04,170 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:02:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4213, loss: 0.4213 +2025-07-02 16:49:19,733 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:02:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4375, loss: 0.4375 +2025-07-02 16:49:32,442 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 16:49:55,707 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:49:55,717 - pyskl - INFO - +top1_acc 0.8998 +top5_acc 0.9937 +2025-07-02 16:49:55,718 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.8998, top5_acc: 0.9937 +2025-07-02 16:50:32,501 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:01:47, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3425, loss: 0.3425 +2025-07-02 16:50:48,242 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:01:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3649, loss: 0.3649 +2025-07-02 16:51:04,075 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:01:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4181, loss: 0.4181 +2025-07-02 16:51:19,621 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:00:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3706, loss: 0.3706 +2025-07-02 16:51:35,185 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:00:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3603, loss: 0.3603 +2025-07-02 16:51:50,808 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:00:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3585, loss: 0.3585 +2025-07-02 16:52:06,392 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 4:00:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4315, loss: 0.4315 +2025-07-02 16:52:22,002 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:59:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4062, loss: 0.4062 +2025-07-02 16:52:37,685 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:59:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3898, loss: 0.3898 +2025-07-02 16:52:53,258 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:59:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4342, loss: 0.4342 +2025-07-02 16:53:08,832 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:58:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3832, loss: 0.3832 +2025-07-02 16:53:21,586 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 16:53:44,577 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:53:44,587 - pyskl - INFO - +top1_acc 0.9038 +top5_acc 0.9945 +2025-07-02 16:53:44,587 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9038, top5_acc: 0.9945 +2025-07-02 16:54:21,871 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:58:39, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3463, loss: 0.3463 +2025-07-02 16:54:37,631 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:58:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3681, loss: 0.3681 +2025-07-02 16:54:53,222 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:58:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 16:55:08,744 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:57:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3501, loss: 0.3501 +2025-07-02 16:55:24,299 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:57:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.3845, loss: 0.3845 +2025-07-02 16:55:39,945 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:57:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9919, loss_cls: 0.3928, loss: 0.3928 +2025-07-02 16:55:55,547 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:56:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3355, loss: 0.3355 +2025-07-02 16:56:11,128 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:56:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.3837, loss: 0.3837 +2025-07-02 16:56:26,716 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:56:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3865, loss: 0.3865 +2025-07-02 16:56:42,325 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:56:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.4187, loss: 0.4187 +2025-07-02 16:56:57,978 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:55:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.4112, loss: 0.4112 +2025-07-02 16:57:10,722 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 16:57:33,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:57:33,914 - pyskl - INFO - +top1_acc 0.8780 +top5_acc 0.9900 +2025-07-02 16:57:33,914 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.8780, top5_acc: 0.9900 +2025-07-02 16:58:10,812 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:55:29, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3690, loss: 0.3690 +2025-07-02 16:58:26,396 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:55:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 16:58:42,053 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:54:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3272, loss: 0.3272 +2025-07-02 16:58:57,734 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:54:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 16:59:13,455 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:54:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3710, loss: 0.3710 +2025-07-02 16:59:29,076 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:54:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3617, loss: 0.3617 +2025-07-02 16:59:44,603 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:53:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3413, loss: 0.3413 +2025-07-02 17:00:00,121 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:53:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3627, loss: 0.3627 +2025-07-02 17:00:15,706 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:53:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4046, loss: 0.4046 +2025-07-02 17:00:31,422 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:52:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9981, loss_cls: 0.3650, loss: 0.3650 +2025-07-02 17:00:47,266 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:52:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3293, loss: 0.3293 +2025-07-02 17:01:00,005 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 17:01:22,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:01:22,928 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9904 +2025-07-02 17:01:22,928 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.8706, top5_acc: 0.9904 +2025-07-02 17:01:59,864 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:52:20, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 17:02:15,561 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:52:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2966, loss: 0.2966 +2025-07-02 17:02:31,182 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:51:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4182, loss: 0.4182 +2025-07-02 17:02:46,794 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:51:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4364, loss: 0.4364 +2025-07-02 17:03:02,368 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:51:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3102, loss: 0.3102 +2025-07-02 17:03:17,919 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:50:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3269, loss: 0.3269 +2025-07-02 17:03:33,536 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:50:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3301, loss: 0.3301 +2025-07-02 17:03:49,239 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:50:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3610, loss: 0.3610 +2025-07-02 17:04:04,839 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:50:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 0.3492, loss: 0.3492 +2025-07-02 17:04:20,449 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:49:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3558, loss: 0.3558 +2025-07-02 17:04:36,191 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:49:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 17:04:48,925 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 17:05:11,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:05:11,930 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9900 +2025-07-02 17:05:11,930 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.8902, top5_acc: 0.9900 +2025-07-02 17:05:49,087 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:49:11, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 17:06:05,000 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:48:55, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3154, loss: 0.3154 +2025-07-02 17:06:20,663 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:48:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3631, loss: 0.3631 +2025-07-02 17:06:36,549 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:48:21, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3383, loss: 0.3383 +2025-07-02 17:06:52,235 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:48:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3369, loss: 0.3369 +2025-07-02 17:07:07,822 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:47:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9956, loss_cls: 0.4080, loss: 0.4080 +2025-07-02 17:07:23,477 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:47:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 17:07:39,050 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:47:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 0.3768, loss: 0.3768 +2025-07-02 17:07:54,675 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3205, loss: 0.3205 +2025-07-02 17:08:10,215 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 17:08:25,975 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:46:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.3670, loss: 0.3670 +2025-07-02 17:08:38,820 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 17:09:01,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:09:01,767 - pyskl - INFO - +top1_acc 0.8643 +top5_acc 0.9774 +2025-07-02 17:09:01,768 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.8643, top5_acc: 0.9774 +2025-07-02 17:09:38,609 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:46:02, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3211, loss: 0.3211 +2025-07-02 17:09:54,270 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:45:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.3083, loss: 0.3083 +2025-07-02 17:10:09,964 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:45:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3710, loss: 0.3710 +2025-07-02 17:10:25,645 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:45:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2991, loss: 0.2991 +2025-07-02 17:10:41,294 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:44:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3470, loss: 0.3470 +2025-07-02 17:10:57,001 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:44:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3709, loss: 0.3709 +2025-07-02 17:11:12,737 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:44:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3562, loss: 0.3562 +2025-07-02 17:11:28,458 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:44:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3290, loss: 0.3290 +2025-07-02 17:11:44,094 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:43:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 17:11:59,723 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:43:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 17:12:15,328 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:43:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9906, loss_cls: 0.3655, loss: 0.3655 +2025-07-02 17:12:28,001 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 17:12:51,078 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:12:51,088 - pyskl - INFO - +top1_acc 0.8872 +top5_acc 0.9885 +2025-07-02 17:12:51,089 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.8872, top5_acc: 0.9885 +2025-07-02 17:13:28,352 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:42:53, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3377, loss: 0.3377 +2025-07-02 17:13:43,987 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:42:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 0.3299, loss: 0.3299 +2025-07-02 17:13:59,469 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:42:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3536, loss: 0.3536 +2025-07-02 17:14:15,146 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:42:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3282, loss: 0.3282 +2025-07-02 17:14:30,747 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:41:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.3027, loss: 0.3027 +2025-07-02 17:14:46,279 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:41:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 0.3389, loss: 0.3389 +2025-07-02 17:15:02,269 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:41:13, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3326, loss: 0.3326 +2025-07-02 17:15:17,891 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 17:15:33,358 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3554, loss: 0.3554 +2025-07-02 17:15:48,829 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:40:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.3950, loss: 0.3950 +2025-07-02 17:16:04,395 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:40:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3265, loss: 0.3265 +2025-07-02 17:16:17,027 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 17:16:39,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:16:39,894 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9930 +2025-07-02 17:16:39,894 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9042, top5_acc: 0.9930 +2025-07-02 17:17:16,771 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:44, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2521, loss: 0.2521 +2025-07-02 17:17:32,190 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:39:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2959, loss: 0.2959 +2025-07-02 17:17:47,970 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:39:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 17:18:03,717 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:38:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.3180, loss: 0.3180 +2025-07-02 17:18:19,523 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:38:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9919, loss_cls: 0.3011, loss: 0.3011 +2025-07-02 17:18:35,071 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:38:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.3579, loss: 0.3579 +2025-07-02 17:18:50,676 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:38:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3648, loss: 0.3648 +2025-07-02 17:19:06,254 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:37:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3165, loss: 0.3165 +2025-07-02 17:19:21,822 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:37:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3257, loss: 0.3257 +2025-07-02 17:19:37,403 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:37:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3608, loss: 0.3608 +2025-07-02 17:19:53,026 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2915, loss: 0.2915 +2025-07-02 17:20:05,776 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 17:20:28,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:20:28,984 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9919 +2025-07-02 17:20:28,985 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9068, top5_acc: 0.9919 +2025-07-02 17:21:05,705 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:36:34, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9938, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 17:21:21,177 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:36:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.2957, loss: 0.2957 +2025-07-02 17:21:36,687 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:36:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3403, loss: 0.3403 +2025-07-02 17:21:52,265 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.2888, loss: 0.2888 +2025-07-02 17:22:07,820 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:35:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3142, loss: 0.3142 +2025-07-02 17:22:23,312 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:35:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3283, loss: 0.3283 +2025-07-02 17:22:38,897 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3734, loss: 0.3734 +2025-07-02 17:22:54,544 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3173, loss: 0.3173 +2025-07-02 17:23:10,154 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:34:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3121, loss: 0.3121 +2025-07-02 17:23:25,798 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:34:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3313, loss: 0.3313 +2025-07-02 17:23:41,412 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:33:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 0.2919, loss: 0.2919 +2025-07-02 17:23:54,105 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 17:24:17,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:24:17,272 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9859 +2025-07-02 17:24:17,273 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9009, top5_acc: 0.9859 +2025-07-02 17:24:54,150 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:33:23, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2519, loss: 0.2519 +2025-07-02 17:25:09,765 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:33:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3089, loss: 0.3089 +2025-07-02 17:25:25,367 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:32:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3466, loss: 0.3466 +2025-07-02 17:25:40,984 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:32:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.3240, loss: 0.3240 +2025-07-02 17:25:56,625 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:32:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3344, loss: 0.3344 +2025-07-02 17:26:12,215 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:32:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3358, loss: 0.3358 +2025-07-02 17:26:27,809 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3293, loss: 0.3293 +2025-07-02 17:26:43,374 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:31:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3457, loss: 0.3457 +2025-07-02 17:26:58,958 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:31:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3471, loss: 0.3471 +2025-07-02 17:27:14,627 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3409, loss: 0.3409 +2025-07-02 17:27:30,282 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3063, loss: 0.3063 +2025-07-02 17:27:43,189 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 17:28:06,129 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:28:06,139 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9911 +2025-07-02 17:28:06,142 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_52.pth was removed +2025-07-02 17:28:06,265 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_84.pth. +2025-07-02 17:28:06,266 - pyskl - INFO - Best top1_acc is 0.9175 at 84 epoch. +2025-07-02 17:28:06,266 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9175, top5_acc: 0.9911 +2025-07-02 17:28:43,055 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:30:13, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 17:28:58,564 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 17:29:14,096 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2911, loss: 0.2911 +2025-07-02 17:29:29,644 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:29:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3097, loss: 0.3097 +2025-07-02 17:29:45,510 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:29:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.3133, loss: 0.3133 +2025-07-02 17:30:01,153 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3017, loss: 0.3017 +2025-07-02 17:30:17,002 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:28:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3192, loss: 0.3192 +2025-07-02 17:30:32,601 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:28:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3252, loss: 0.3252 +2025-07-02 17:30:48,230 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:28:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2616, loss: 0.2616 +2025-07-02 17:31:03,807 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3374, loss: 0.3374 +2025-07-02 17:31:19,327 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:27:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2949, loss: 0.2949 +2025-07-02 17:31:32,073 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 17:31:55,052 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:31:55,070 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9915 +2025-07-02 17:31:55,071 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9072, top5_acc: 0.9915 +2025-07-02 17:32:32,193 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:27:03, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3082, loss: 0.3082 +2025-07-02 17:32:47,817 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:26:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2891, loss: 0.2891 +2025-07-02 17:33:03,441 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:26:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3344, loss: 0.3344 +2025-07-02 17:33:19,036 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:26:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3298, loss: 0.3298 +2025-07-02 17:33:34,641 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.3246, loss: 0.3246 +2025-07-02 17:33:50,420 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 17:34:06,127 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:25:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.3414, loss: 0.3414 +2025-07-02 17:34:21,762 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:25:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3061, loss: 0.3061 +2025-07-02 17:34:37,340 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2750, loss: 0.2750 +2025-07-02 17:34:53,007 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:24:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 17:35:08,561 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:24:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3236, loss: 0.3236 +2025-07-02 17:35:21,276 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 17:35:44,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:35:44,319 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9896 +2025-07-02 17:35:44,320 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9050, top5_acc: 0.9896 +2025-07-02 17:36:21,527 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:54, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3248, loss: 0.3248 +2025-07-02 17:36:37,001 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2653, loss: 0.2653 +2025-07-02 17:36:52,582 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:23:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2606, loss: 0.2606 +2025-07-02 17:37:08,272 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:23:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.2998, loss: 0.2998 +2025-07-02 17:37:23,987 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:22:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 17:37:39,577 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:22:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3264, loss: 0.3264 +2025-07-02 17:37:55,168 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:22:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3074, loss: 0.3074 +2025-07-02 17:38:10,792 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 17:38:26,315 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2590, loss: 0.2590 +2025-07-02 17:38:41,950 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:21:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 17:38:57,447 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:21:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.2995, loss: 0.2995 +2025-07-02 17:39:10,089 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 17:39:32,969 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:39:32,979 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9896 +2025-07-02 17:39:32,979 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9057, top5_acc: 0.9896 +2025-07-02 17:40:10,204 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:43, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2445, loss: 0.2445 +2025-07-02 17:40:25,707 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:20:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 0.2456, loss: 0.2456 +2025-07-02 17:40:41,229 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:20:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2686, loss: 0.2686 +2025-07-02 17:40:56,761 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2555, loss: 0.2555 +2025-07-02 17:41:12,582 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2695, loss: 0.2695 +2025-07-02 17:41:28,270 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:19:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3076, loss: 0.3076 +2025-07-02 17:41:43,875 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:19:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2663, loss: 0.2663 +2025-07-02 17:41:59,590 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2961, loss: 0.2961 +2025-07-02 17:42:15,322 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:18:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3305, loss: 0.3305 +2025-07-02 17:42:31,047 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:18:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3358, loss: 0.3358 +2025-07-02 17:42:46,696 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3201, loss: 0.3201 +2025-07-02 17:42:59,533 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 17:43:22,368 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:43:22,378 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9908 +2025-07-02 17:43:22,379 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9083, top5_acc: 0.9908 +2025-07-02 17:43:58,834 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:33, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 17:44:14,409 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:17:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.2878, loss: 0.2878 +2025-07-02 17:44:29,962 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:17:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3249, loss: 0.3249 +2025-07-02 17:44:45,472 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.3039, loss: 0.3039 +2025-07-02 17:45:01,031 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:16:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3507, loss: 0.3507 +2025-07-02 17:45:16,749 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:16:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3153, loss: 0.3153 +2025-07-02 17:45:32,580 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.2884, loss: 0.2884 +2025-07-02 17:45:48,247 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 17:46:03,921 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:15:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2685, loss: 0.2685 +2025-07-02 17:46:19,626 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:15:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3271, loss: 0.3271 +2025-07-02 17:46:35,218 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2717, loss: 0.2717 +2025-07-02 17:46:47,987 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 17:47:10,849 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:47:10,859 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9919 +2025-07-02 17:47:10,859 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9042, top5_acc: 0.9919 +2025-07-02 17:47:47,913 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:14:23, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2877, loss: 0.2877 +2025-07-02 17:48:03,543 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:14:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.2831, loss: 0.2831 +2025-07-02 17:48:19,280 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 17:48:35,028 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2190, loss: 0.2190 +2025-07-02 17:48:50,741 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:13:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2483, loss: 0.2483 +2025-07-02 17:49:06,348 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:13:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 17:49:21,863 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 17:49:37,404 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:12:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.2835, loss: 0.2835 +2025-07-02 17:49:52,877 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:12:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.2725, loss: 0.2725 +2025-07-02 17:50:08,642 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2808, loss: 0.2808 +2025-07-02 17:50:24,273 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2995, loss: 0.2995 +2025-07-02 17:50:37,133 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 17:51:00,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:51:00,316 - pyskl - INFO - +top1_acc 0.8950 +top5_acc 0.9915 +2025-07-02 17:51:00,316 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.8950, top5_acc: 0.9915 +2025-07-02 17:51:37,259 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:11:13, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 17:51:52,759 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2332, loss: 0.2332 +2025-07-02 17:52:08,275 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2908, loss: 0.2908 +2025-07-02 17:52:23,851 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:10:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1823, loss: 0.1823 +2025-07-02 17:52:39,457 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:10:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1964, loss: 0.1964 +2025-07-02 17:52:55,107 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2874, loss: 0.2874 +2025-07-02 17:53:10,680 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2622, loss: 0.2622 +2025-07-02 17:53:26,349 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:09:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2782, loss: 0.2782 +2025-07-02 17:53:42,151 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:08:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2643, loss: 0.2643 +2025-07-02 17:53:57,898 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3785, loss: 0.3785 +2025-07-02 17:54:13,610 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:08:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2678, loss: 0.2678 +2025-07-02 17:54:26,342 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 17:54:49,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:54:49,333 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9937 +2025-07-02 17:54:49,334 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9013, top5_acc: 0.9937 +2025-07-02 17:55:25,890 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:08:02, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2933, loss: 0.2933 +2025-07-02 17:55:41,346 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2596, loss: 0.2596 +2025-07-02 17:55:56,924 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:07:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2723, loss: 0.2723 +2025-07-02 17:56:12,504 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:07:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2659, loss: 0.2659 +2025-07-02 17:56:28,265 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2746, loss: 0.2746 +2025-07-02 17:56:44,020 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2737, loss: 0.2737 +2025-07-02 17:56:59,734 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:06:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2210, loss: 0.2210 +2025-07-02 17:57:15,484 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:06:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3014, loss: 0.3014 +2025-07-02 17:57:31,242 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 17:57:46,971 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2933, loss: 0.2933 +2025-07-02 17:58:02,740 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:05:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9981, loss_cls: 0.3110, loss: 0.3110 +2025-07-02 17:58:15,546 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 17:58:38,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:58:38,706 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9919 +2025-07-02 17:58:38,710 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_84.pth was removed +2025-07-02 17:58:38,825 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2025-07-02 17:58:38,825 - pyskl - INFO - Best top1_acc is 0.9212 at 92 epoch. +2025-07-02 17:58:38,826 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9212, top5_acc: 0.9919 +2025-07-02 17:59:15,325 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:52, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2533, loss: 0.2533 +2025-07-02 17:59:30,889 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2559, loss: 0.2559 +2025-07-02 17:59:46,433 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:04:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2909, loss: 0.2909 +2025-07-02 18:00:02,008 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:04:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2220, loss: 0.2220 +2025-07-02 18:00:17,555 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.2320, loss: 0.2320 +2025-07-02 18:00:33,167 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:03:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2694, loss: 0.2694 +2025-07-02 18:00:48,765 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:03:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9938, loss_cls: 0.2426, loss: 0.2426 +2025-07-02 18:01:04,487 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2676, loss: 0.2676 +2025-07-02 18:01:20,191 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2518, loss: 0.2518 +2025-07-02 18:01:35,937 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:02:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 18:01:51,650 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:02:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2882, loss: 0.2882 +2025-07-02 18:02:04,446 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 18:02:27,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:02:27,360 - pyskl - INFO - +top1_acc 0.8055 +top5_acc 0.9708 +2025-07-02 18:02:27,360 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.8055, top5_acc: 0.9708 +2025-07-02 18:03:04,102 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:41, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2572, loss: 0.2572 +2025-07-02 18:03:19,676 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:01:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.2722, loss: 0.2722 +2025-07-02 18:03:35,297 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:01:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2833, loss: 0.2833 +2025-07-02 18:03:50,928 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2543, loss: 0.2543 +2025-07-02 18:04:06,543 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2544, loss: 0.2544 +2025-07-02 18:04:22,122 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:00:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2239, loss: 0.2239 +2025-07-02 18:04:37,601 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 3:00:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2400, loss: 0.2400 +2025-07-02 18:04:53,257 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2678, loss: 0.2678 +2025-07-02 18:05:08,835 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:59:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.2787, loss: 0.2787 +2025-07-02 18:05:24,575 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:59:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.2796, loss: 0.2796 +2025-07-02 18:05:40,318 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2663, loss: 0.2663 +2025-07-02 18:05:53,207 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 18:06:16,198 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:06:16,208 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9871 +2025-07-02 18:06:16,209 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.8979, top5_acc: 0.9871 +2025-07-02 18:06:52,856 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:30, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2317, loss: 0.2317 +2025-07-02 18:07:08,426 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:58:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2280, loss: 0.2280 +2025-07-02 18:07:23,975 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:57:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2048, loss: 0.2048 +2025-07-02 18:07:39,532 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2466, loss: 0.2466 +2025-07-02 18:07:55,087 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:57:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.2076, loss: 0.2076 +2025-07-02 18:08:10,661 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:57:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2378, loss: 0.2378 +2025-07-02 18:08:26,259 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.2880, loss: 0.2880 +2025-07-02 18:08:41,883 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 18:08:57,421 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:56:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 18:09:13,136 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:56:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2411, loss: 0.2411 +2025-07-02 18:09:28,731 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2723, loss: 0.2723 +2025-07-02 18:09:41,431 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 18:10:04,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:10:04,389 - pyskl - INFO - +top1_acc 0.8421 +top5_acc 0.9638 +2025-07-02 18:10:04,389 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.8421, top5_acc: 0.9638 +2025-07-02 18:10:41,242 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:55:20, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2149, loss: 0.2149 +2025-07-02 18:10:56,713 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2253, loss: 0.2253 +2025-07-02 18:11:12,230 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2508, loss: 0.2508 +2025-07-02 18:11:27,805 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2411, loss: 0.2411 +2025-07-02 18:11:43,420 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:54:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2062, loss: 0.2062 +2025-07-02 18:11:59,035 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:53:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2752, loss: 0.2752 +2025-07-02 18:12:14,585 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2574, loss: 0.2574 +2025-07-02 18:12:30,224 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:53:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2433, loss: 0.2433 +2025-07-02 18:12:46,302 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:53:07, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2008, loss: 0.2008 +2025-07-02 18:13:01,998 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2822, loss: 0.2822 +2025-07-02 18:13:17,663 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 18:13:30,450 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 18:13:53,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:13:53,284 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9945 +2025-07-02 18:13:53,285 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.8979, top5_acc: 0.9945 +2025-07-02 18:14:29,971 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:52:09, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1973, loss: 0.1973 +2025-07-02 18:14:45,524 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1850, loss: 0.1850 +2025-07-02 18:15:01,084 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 18:15:16,636 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:51:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.1934, loss: 0.1934 +2025-07-02 18:15:32,200 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2187, loss: 0.2187 +2025-07-02 18:15:47,759 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2435, loss: 0.2435 +2025-07-02 18:16:03,378 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2249, loss: 0.2249 +2025-07-02 18:16:19,187 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:50:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2146, loss: 0.2146 +2025-07-02 18:16:34,848 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2536, loss: 0.2536 +2025-07-02 18:16:50,445 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2361, loss: 0.2361 +2025-07-02 18:17:05,943 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:49:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9950, loss_cls: 0.2276, loss: 0.2276 +2025-07-02 18:17:18,605 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 18:17:41,701 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:17:41,711 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9896 +2025-07-02 18:17:41,712 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.8983, top5_acc: 0.9896 +2025-07-02 18:18:18,324 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:48:58, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2110, loss: 0.2110 +2025-07-02 18:18:33,851 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1855, loss: 0.1855 +2025-07-02 18:18:49,422 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:48:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2207, loss: 0.2207 +2025-07-02 18:19:05,029 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:48:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2529, loss: 0.2529 +2025-07-02 18:19:20,520 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.2139, loss: 0.2139 +2025-07-02 18:19:36,045 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2040, loss: 0.2040 +2025-07-02 18:19:51,588 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:47:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2121, loss: 0.2121 +2025-07-02 18:20:07,082 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2299, loss: 0.2299 +2025-07-02 18:20:22,661 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2165, loss: 0.2165 +2025-07-02 18:20:38,300 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2247, loss: 0.2247 +2025-07-02 18:20:53,920 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:46:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2199, loss: 0.2199 +2025-07-02 18:21:06,658 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 18:21:29,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:21:29,660 - pyskl - INFO - +top1_acc 0.9053 +top5_acc 0.9900 +2025-07-02 18:21:29,661 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9053, top5_acc: 0.9900 +2025-07-02 18:22:06,177 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:46, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2226, loss: 0.2226 +2025-07-02 18:22:21,652 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1697, loss: 0.1697 +2025-07-02 18:22:37,251 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:45:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1956, loss: 0.1956 +2025-07-02 18:22:52,767 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:44:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1941, loss: 0.1941 +2025-07-02 18:23:08,238 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1838, loss: 0.1838 +2025-07-02 18:23:23,769 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:44:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2326, loss: 0.2326 +2025-07-02 18:23:39,322 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:44:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 18:23:54,834 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1959, loss: 0.1959 +2025-07-02 18:24:10,424 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1854, loss: 0.1854 +2025-07-02 18:24:26,110 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:43:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9962, loss_cls: 0.2005, loss: 0.2005 +2025-07-02 18:24:41,799 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:43:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2367, loss: 0.2367 +2025-07-02 18:24:54,660 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 18:25:17,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:25:17,928 - pyskl - INFO - +top1_acc 0.7530 +top5_acc 0.9571 +2025-07-02 18:25:17,929 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.7530, top5_acc: 0.9571 +2025-07-02 18:25:54,923 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:35, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1739, loss: 0.1739 +2025-07-02 18:26:10,504 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:42:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.1817, loss: 0.1817 +2025-07-02 18:26:26,044 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2446, loss: 0.2446 +2025-07-02 18:26:41,509 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2196, loss: 0.2196 +2025-07-02 18:26:57,083 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2050, loss: 0.2050 +2025-07-02 18:27:12,831 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:41:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2105, loss: 0.2105 +2025-07-02 18:27:28,449 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2205, loss: 0.2205 +2025-07-02 18:27:44,081 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2066, loss: 0.2066 +2025-07-02 18:27:59,795 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:40:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2219, loss: 0.2219 +2025-07-02 18:28:15,482 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2278, loss: 0.2278 +2025-07-02 18:28:31,248 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2170, loss: 0.2170 +2025-07-02 18:28:44,155 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 18:29:06,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:29:06,958 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9922 +2025-07-02 18:29:06,958 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9153, top5_acc: 0.9922 +2025-07-02 18:29:43,365 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:24, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1719, loss: 0.1719 +2025-07-02 18:29:58,883 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1654, loss: 0.1654 +2025-07-02 18:30:14,349 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1632, loss: 0.1632 +2025-07-02 18:30:29,823 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1843, loss: 0.1843 +2025-07-02 18:30:45,336 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:38:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 18:31:00,863 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1868, loss: 0.1868 +2025-07-02 18:31:16,400 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 18:31:31,971 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2264, loss: 0.2264 +2025-07-02 18:31:47,619 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:37:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2229, loss: 0.2229 +2025-07-02 18:32:03,263 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2152, loss: 0.2152 +2025-07-02 18:32:18,912 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2405, loss: 0.2405 +2025-07-02 18:32:31,729 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 18:32:54,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:32:54,924 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9937 +2025-07-02 18:32:54,925 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9172, top5_acc: 0.9937 +2025-07-02 18:33:31,736 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:36:13, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1597, loss: 0.1597 +2025-07-02 18:33:47,367 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1469, loss: 0.1469 +2025-07-02 18:34:02,925 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2340, loss: 0.2340 +2025-07-02 18:34:18,473 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1735, loss: 0.1735 +2025-07-02 18:34:34,134 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 18:34:49,682 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1634, loss: 0.1634 +2025-07-02 18:35:05,365 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.2014, loss: 0.2014 +2025-07-02 18:35:21,117 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:34:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 18:35:36,827 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2126, loss: 0.2126 +2025-07-02 18:35:52,530 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1964, loss: 0.1964 +2025-07-02 18:36:08,271 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2001, loss: 0.2001 +2025-07-02 18:36:21,090 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 18:36:44,217 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:36:44,227 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9959 +2025-07-02 18:36:44,227 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9209, top5_acc: 0.9959 +2025-07-02 18:37:21,025 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:02, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 18:37:36,460 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1648, loss: 0.1648 +2025-07-02 18:37:51,927 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1580, loss: 0.1580 +2025-07-02 18:38:07,424 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:32:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1713, loss: 0.1713 +2025-07-02 18:38:23,418 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:56, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1951, loss: 0.1951 +2025-07-02 18:38:39,110 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1833, loss: 0.1833 +2025-07-02 18:38:54,789 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1852, loss: 0.1852 +2025-07-02 18:39:10,511 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2132, loss: 0.2132 +2025-07-02 18:39:26,199 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1843, loss: 0.1843 +2025-07-02 18:39:41,880 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1905, loss: 0.1905 +2025-07-02 18:39:57,569 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:30:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.1957, loss: 0.1957 +2025-07-02 18:40:10,375 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 18:40:33,534 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:40:33,545 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9941 +2025-07-02 18:40:33,545 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9153, top5_acc: 0.9941 +2025-07-02 18:41:10,468 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:51, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 18:41:25,997 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1728, loss: 0.1728 +2025-07-02 18:41:41,570 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2104, loss: 0.2104 +2025-07-02 18:41:57,176 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1701, loss: 0.1701 +2025-07-02 18:42:12,838 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1665, loss: 0.1665 +2025-07-02 18:42:28,497 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1854, loss: 0.1854 +2025-07-02 18:42:44,149 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:28:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1824, loss: 0.1824 +2025-07-02 18:42:59,860 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1987, loss: 0.1987 +2025-07-02 18:43:15,520 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2140, loss: 0.2140 +2025-07-02 18:43:31,209 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1731, loss: 0.1731 +2025-07-02 18:43:46,839 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1876, loss: 0.1876 +2025-07-02 18:43:59,709 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 18:44:22,820 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:44:22,830 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9963 +2025-07-02 18:44:22,830 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9212, top5_acc: 0.9963 +2025-07-02 18:44:59,838 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:40, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1469, loss: 0.1469 +2025-07-02 18:45:15,424 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1495, loss: 0.1495 +2025-07-02 18:45:31,003 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1819, loss: 0.1819 +2025-07-02 18:45:46,914 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1420, loss: 0.1420 +2025-07-02 18:46:02,578 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1516, loss: 0.1516 +2025-07-02 18:46:18,228 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:25:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1683, loss: 0.1683 +2025-07-02 18:46:33,803 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1635, loss: 0.1635 +2025-07-02 18:46:49,429 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1322, loss: 0.1322 +2025-07-02 18:47:05,023 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1890, loss: 0.1890 +2025-07-02 18:47:20,647 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1894, loss: 0.1894 +2025-07-02 18:47:36,350 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1796, loss: 0.1796 +2025-07-02 18:47:49,107 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 18:48:12,239 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:48:12,249 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9922 +2025-07-02 18:48:12,249 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9209, top5_acc: 0.9922 +2025-07-02 18:48:48,762 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:29, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1811, loss: 0.1811 +2025-07-02 18:49:04,268 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1553, loss: 0.1553 +2025-07-02 18:49:19,834 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1634, loss: 0.1634 +2025-07-02 18:49:35,373 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1609, loss: 0.1609 +2025-07-02 18:49:51,028 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1819, loss: 0.1819 +2025-07-02 18:50:06,847 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1751, loss: 0.1751 +2025-07-02 18:50:22,546 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1464, loss: 0.1464 +2025-07-02 18:50:38,229 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1637, loss: 0.1637 +2025-07-02 18:50:53,928 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:21:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 18:51:09,444 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1863, loss: 0.1863 +2025-07-02 18:51:25,099 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1612, loss: 0.1612 +2025-07-02 18:51:37,898 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 18:52:00,893 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:52:00,903 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9945 +2025-07-02 18:52:00,903 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9209, top5_acc: 0.9945 +2025-07-02 18:52:37,445 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:18, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1793, loss: 0.1793 +2025-07-02 18:52:52,908 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1629, loss: 0.1629 +2025-07-02 18:53:08,413 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1663, loss: 0.1663 +2025-07-02 18:53:23,982 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1467, loss: 0.1467 +2025-07-02 18:53:39,552 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1662, loss: 0.1662 +2025-07-02 18:53:55,192 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2086, loss: 0.2086 +2025-07-02 18:54:10,843 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1665, loss: 0.1665 +2025-07-02 18:54:26,454 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1703, loss: 0.1703 +2025-07-02 18:54:42,040 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1918, loss: 0.1918 +2025-07-02 18:54:57,509 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1640, loss: 0.1640 +2025-07-02 18:55:13,036 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1407, loss: 0.1407 +2025-07-02 18:55:25,873 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 18:55:48,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:55:48,899 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9926 +2025-07-02 18:55:48,899 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9112, top5_acc: 0.9926 +2025-07-02 18:56:25,791 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:07, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1457, loss: 0.1457 +2025-07-02 18:56:41,354 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1272, loss: 0.1272 +2025-07-02 18:56:56,927 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 18:57:12,452 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1361, loss: 0.1361 +2025-07-02 18:57:27,918 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1342, loss: 0.1342 +2025-07-02 18:57:43,413 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1497, loss: 0.1497 +2025-07-02 18:57:58,962 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1270, loss: 0.1270 +2025-07-02 18:58:14,571 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1237, loss: 0.1237 +2025-07-02 18:58:30,183 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1322, loss: 0.1322 +2025-07-02 18:58:45,794 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1676, loss: 0.1676 +2025-07-02 18:59:01,478 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1352, loss: 0.1352 +2025-07-02 18:59:14,175 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 18:59:37,414 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:59:37,425 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9933 +2025-07-02 18:59:37,425 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9209, top5_acc: 0.9933 +2025-07-02 19:00:13,726 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:55, time: 0.363, data_time: 0.205, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1369, loss: 0.1369 +2025-07-02 19:00:29,275 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1141, loss: 0.1141 +2025-07-02 19:00:44,789 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1543, loss: 0.1543 +2025-07-02 19:01:00,437 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1199, loss: 0.1199 +2025-07-02 19:01:16,021 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1570, loss: 0.1570 +2025-07-02 19:01:31,623 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1403, loss: 0.1403 +2025-07-02 19:01:47,223 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1528, loss: 0.1528 +2025-07-02 19:02:02,880 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:11:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1324, loss: 0.1324 +2025-07-02 19:02:18,470 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1311, loss: 0.1311 +2025-07-02 19:02:34,064 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1312, loss: 0.1312 +2025-07-02 19:02:49,672 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 19:03:02,475 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 19:03:25,464 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:03:25,475 - pyskl - INFO - +top1_acc 0.9290 +top5_acc 0.9933 +2025-07-02 19:03:25,479 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_92.pth was removed +2025-07-02 19:03:25,594 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2025-07-02 19:03:25,595 - pyskl - INFO - Best top1_acc is 0.9290 at 109 epoch. +2025-07-02 19:03:25,596 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9290, top5_acc: 0.9933 +2025-07-02 19:04:02,213 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:44, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1429, loss: 0.1429 +2025-07-02 19:04:17,737 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1459, loss: 0.1459 +2025-07-02 19:04:33,295 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1304, loss: 0.1304 +2025-07-02 19:04:48,893 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1395, loss: 0.1395 +2025-07-02 19:05:04,518 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1269, loss: 0.1269 +2025-07-02 19:05:20,189 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 19:05:35,815 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 19:05:51,395 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1443, loss: 0.1443 +2025-07-02 19:06:06,929 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1270, loss: 0.1270 +2025-07-02 19:06:22,506 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1291, loss: 0.1291 +2025-07-02 19:06:38,112 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:07:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1210, loss: 0.1210 +2025-07-02 19:06:50,780 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 19:07:13,810 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:07:13,821 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9945 +2025-07-02 19:07:13,821 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9223, top5_acc: 0.9945 +2025-07-02 19:07:50,356 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:32, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1458, loss: 0.1458 +2025-07-02 19:08:05,869 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1245, loss: 0.1245 +2025-07-02 19:08:21,408 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:06:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1138, loss: 0.1138 +2025-07-02 19:08:37,010 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0956, loss: 0.0956 +2025-07-02 19:08:52,636 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1248, loss: 0.1248 +2025-07-02 19:09:08,386 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 19:09:23,955 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1231, loss: 0.1231 +2025-07-02 19:09:39,685 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1229, loss: 0.1229 +2025-07-02 19:09:55,426 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1375, loss: 0.1375 +2025-07-02 19:10:11,093 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1260, loss: 0.1260 +2025-07-02 19:10:26,709 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1185, loss: 0.1185 +2025-07-02 19:10:39,471 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 19:11:02,156 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:11:02,177 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9911 +2025-07-02 19:11:02,178 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9153, top5_acc: 0.9911 +2025-07-02 19:11:38,946 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:21, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0851, loss: 0.0851 +2025-07-02 19:11:54,441 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1136, loss: 0.1136 +2025-07-02 19:12:09,912 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1386, loss: 0.1386 +2025-07-02 19:12:25,422 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1156, loss: 0.1156 +2025-07-02 19:12:40,959 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1315, loss: 0.1315 +2025-07-02 19:12:56,627 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:02:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 19:13:12,269 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1363, loss: 0.1363 +2025-07-02 19:13:27,841 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1166, loss: 0.1166 +2025-07-02 19:13:43,437 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1109, loss: 0.1109 +2025-07-02 19:13:59,072 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1489, loss: 0.1489 +2025-07-02 19:14:14,793 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 19:14:27,685 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 19:14:50,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:14:50,684 - pyskl - INFO - +top1_acc 0.9179 +top5_acc 0.9937 +2025-07-02 19:14:50,684 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9179, top5_acc: 0.9937 +2025-07-02 19:15:27,149 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:10, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1157, loss: 0.1157 +2025-07-02 19:15:42,577 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1336, loss: 0.1336 +2025-07-02 19:15:58,018 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1377, loss: 0.1377 +2025-07-02 19:16:13,631 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1035, loss: 0.1035 +2025-07-02 19:16:29,218 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1113, loss: 0.1113 +2025-07-02 19:16:44,728 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1243, loss: 0.1243 +2025-07-02 19:17:00,289 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1408, loss: 0.1408 +2025-07-02 19:17:15,846 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0996, loss: 0.0996 +2025-07-02 19:17:31,475 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:58:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0866, loss: 0.0866 +2025-07-02 19:17:47,042 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1256, loss: 0.1256 +2025-07-02 19:18:02,941 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1084, loss: 0.1084 +2025-07-02 19:18:15,975 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 19:18:39,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:18:39,057 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9959 +2025-07-02 19:18:39,057 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9234, top5_acc: 0.9959 +2025-07-02 19:19:15,648 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:57:58, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1113, loss: 0.1113 +2025-07-02 19:19:31,139 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1149, loss: 0.1149 +2025-07-02 19:19:46,646 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1081, loss: 0.1081 +2025-07-02 19:20:02,231 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1191, loss: 0.1191 +2025-07-02 19:20:17,791 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1247, loss: 0.1247 +2025-07-02 19:20:33,341 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1043, loss: 0.1043 +2025-07-02 19:20:48,972 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1049, loss: 0.1049 +2025-07-02 19:21:04,535 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1041, loss: 0.1041 +2025-07-02 19:21:20,113 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1112, loss: 0.1112 +2025-07-02 19:21:35,802 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1448, loss: 0.1448 +2025-07-02 19:21:51,496 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1067, loss: 0.1067 +2025-07-02 19:22:04,290 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 19:22:27,252 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:22:27,262 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9941 +2025-07-02 19:22:27,263 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9257, top5_acc: 0.9941 +2025-07-02 19:23:04,199 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:47, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 19:23:19,742 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0774, loss: 0.0774 +2025-07-02 19:23:35,342 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 19:23:50,865 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:53:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1156, loss: 0.1156 +2025-07-02 19:24:06,379 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 19:24:21,951 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1186, loss: 0.1186 +2025-07-02 19:24:37,469 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1138, loss: 0.1138 +2025-07-02 19:24:52,890 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1163, loss: 0.1163 +2025-07-02 19:25:08,328 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 19:25:23,754 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1238, loss: 0.1238 +2025-07-02 19:25:39,219 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 19:25:52,182 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 19:26:15,222 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:26:15,233 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9937 +2025-07-02 19:26:15,233 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9168, top5_acc: 0.9937 +2025-07-02 19:26:52,142 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:35, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0945, loss: 0.0945 +2025-07-02 19:27:07,705 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1031, loss: 0.1031 +2025-07-02 19:27:23,285 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1109, loss: 0.1109 +2025-07-02 19:27:38,918 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 19:27:54,484 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0778, loss: 0.0778 +2025-07-02 19:28:10,117 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0940, loss: 0.0940 +2025-07-02 19:28:25,829 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.1030, loss: 0.1030 +2025-07-02 19:28:41,455 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1150, loss: 0.1150 +2025-07-02 19:28:57,177 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1094, loss: 0.1094 +2025-07-02 19:29:12,769 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1118, loss: 0.1118 +2025-07-02 19:29:28,543 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0984, loss: 0.0984 +2025-07-02 19:29:41,389 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 19:30:04,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:30:04,460 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9941 +2025-07-02 19:30:04,461 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9242, top5_acc: 0.9941 +2025-07-02 19:30:41,379 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:24, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1193, loss: 0.1193 +2025-07-02 19:30:56,900 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 19:31:12,511 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 19:31:28,108 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0969, loss: 0.0969 +2025-07-02 19:31:43,698 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 19:31:59,298 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 19:32:14,892 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9969, loss_cls: 0.1064, loss: 0.1064 +2025-07-02 19:32:30,532 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1313, loss: 0.1313 +2025-07-02 19:32:46,191 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 19:33:01,736 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0943, loss: 0.0943 +2025-07-02 19:33:17,331 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1238, loss: 0.1238 +2025-07-02 19:33:30,190 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 19:33:53,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:33:53,081 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9926 +2025-07-02 19:33:53,082 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9268, top5_acc: 0.9926 +2025-07-02 19:34:30,103 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:12, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0999, loss: 0.0999 +2025-07-02 19:34:45,597 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 19:35:01,124 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 19:35:16,749 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1054, loss: 0.1054 +2025-07-02 19:35:32,363 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 19:35:47,925 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 19:36:03,554 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0695, loss: 0.0695 +2025-07-02 19:36:19,154 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 19:36:34,835 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0737, loss: 0.0737 +2025-07-02 19:36:50,526 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0893, loss: 0.0893 +2025-07-02 19:37:06,270 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.1081, loss: 0.1081 +2025-07-02 19:37:19,114 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 19:37:42,248 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:37:42,259 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9948 +2025-07-02 19:37:42,262 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_109.pth was removed +2025-07-02 19:37:42,382 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-07-02 19:37:42,382 - pyskl - INFO - Best top1_acc is 0.9331 at 118 epoch. +2025-07-02 19:37:42,383 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9331, top5_acc: 0.9948 +2025-07-02 19:38:19,224 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:01, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 19:38:34,754 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 +2025-07-02 19:38:50,256 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 19:39:05,856 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0872, loss: 0.0872 +2025-07-02 19:39:21,511 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 19:39:37,169 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0989, loss: 0.0989 +2025-07-02 19:39:52,749 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0814, loss: 0.0814 +2025-07-02 19:40:08,330 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0916, loss: 0.0916 +2025-07-02 19:40:23,923 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0836, loss: 0.0836 +2025-07-02 19:40:39,563 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0900, loss: 0.0900 +2025-07-02 19:40:55,157 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0677, loss: 0.0677 +2025-07-02 19:41:08,093 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 19:41:31,320 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:41:31,331 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9941 +2025-07-02 19:41:31,331 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9216, top5_acc: 0.9941 +2025-07-02 19:42:08,154 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:49, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 19:42:23,662 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 19:42:39,255 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 19:42:54,887 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 19:43:10,497 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0920, loss: 0.0920 +2025-07-02 19:43:26,102 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0810, loss: 0.0810 +2025-07-02 19:43:41,713 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 19:43:57,285 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1039, loss: 0.1039 +2025-07-02 19:44:12,968 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 19:44:28,684 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0923, loss: 0.0923 +2025-07-02 19:44:44,391 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0727, loss: 0.0727 +2025-07-02 19:44:57,221 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 19:45:20,653 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:45:20,663 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9941 +2025-07-02 19:45:20,664 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9308, top5_acc: 0.9941 +2025-07-02 19:45:57,535 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:38, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 19:46:12,980 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 19:46:28,433 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 19:46:44,000 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0608, loss: 0.0608 +2025-07-02 19:46:59,567 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0756, loss: 0.0756 +2025-07-02 19:47:15,304 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 19:47:30,873 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:33:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0612, loss: 0.0612 +2025-07-02 19:47:46,493 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0716, loss: 0.0716 +2025-07-02 19:48:02,089 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0735, loss: 0.0735 +2025-07-02 19:48:17,699 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0939, loss: 0.0939 +2025-07-02 19:48:33,295 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 19:48:46,057 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 19:49:09,041 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:49:09,051 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9948 +2025-07-02 19:49:09,052 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9249, top5_acc: 0.9948 +2025-07-02 19:49:45,891 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:26, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 19:50:01,387 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 19:50:16,952 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0857, loss: 0.0857 +2025-07-02 19:50:32,495 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 19:50:48,098 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 19:51:03,654 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 19:51:19,122 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 19:51:34,721 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 19:51:50,363 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 19:52:05,955 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:29:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 19:52:21,566 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0857, loss: 0.0857 +2025-07-02 19:52:34,223 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 19:52:57,072 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:52:57,082 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9959 +2025-07-02 19:52:57,085 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_118.pth was removed +2025-07-02 19:52:57,205 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-07-02 19:52:57,205 - pyskl - INFO - Best top1_acc is 0.9345 at 122 epoch. +2025-07-02 19:52:57,206 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9345, top5_acc: 0.9959 +2025-07-02 19:53:33,714 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:14, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 19:53:49,189 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:28:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 19:54:04,759 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 19:54:20,376 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 19:54:36,026 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 19:54:51,639 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 19:55:07,330 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 19:55:22,863 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 19:55:38,384 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 19:55:54,026 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0779, loss: 0.0779 +2025-07-02 19:56:09,526 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 19:56:22,167 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 19:56:45,250 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:56:45,260 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9948 +2025-07-02 19:56:45,261 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9279, top5_acc: 0.9948 +2025-07-02 19:57:21,874 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:03, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 19:57:37,354 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0636, loss: 0.0636 +2025-07-02 19:57:52,823 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 19:58:08,332 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 19:58:23,859 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:24:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 19:58:39,321 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 19:58:54,765 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 19:59:10,438 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 19:59:25,969 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 19:59:41,541 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0838, loss: 0.0838 +2025-07-02 19:59:57,150 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 20:00:10,118 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 20:00:33,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:00:33,276 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9919 +2025-07-02 20:00:33,276 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9338, top5_acc: 0.9919 +2025-07-02 20:01:09,725 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:51, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 20:01:25,234 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0572, loss: 0.0572 +2025-07-02 20:01:40,746 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0504, loss: 0.0504 +2025-07-02 20:01:56,308 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 20:02:11,976 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0571, loss: 0.0571 +2025-07-02 20:02:27,533 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 20:02:43,303 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 20:02:58,953 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 20:03:14,528 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 20:03:30,214 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 20:03:45,970 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 20:03:58,596 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 20:04:21,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:04:21,900 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9945 +2025-07-02 20:04:21,900 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9312, top5_acc: 0.9945 +2025-07-02 20:04:58,587 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:39, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 20:05:14,117 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 20:05:29,683 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 20:05:45,262 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0570, loss: 0.0570 +2025-07-02 20:06:00,877 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 20:06:16,462 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 20:06:32,125 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 20:06:47,798 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0651, loss: 0.0651 +2025-07-02 20:07:03,406 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 20:07:18,971 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0772, loss: 0.0772 +2025-07-02 20:07:34,583 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 20:07:47,436 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 20:08:10,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:08:10,578 - pyskl - INFO - +top1_acc 0.9320 +top5_acc 0.9930 +2025-07-02 20:08:10,579 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9320, top5_acc: 0.9930 +2025-07-02 20:08:47,389 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:27, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 20:09:02,862 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 20:09:18,358 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 20:09:33,851 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 20:09:49,428 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 20:10:04,982 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:10:20,540 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 20:10:36,136 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 20:10:51,714 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 20:11:07,269 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0674, loss: 0.0674 +2025-07-02 20:11:22,878 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0631, loss: 0.0631 +2025-07-02 20:11:35,535 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 20:11:58,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:11:58,463 - pyskl - INFO - +top1_acc 0.9323 +top5_acc 0.9926 +2025-07-02 20:11:58,463 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9323, top5_acc: 0.9926 +2025-07-02 20:12:35,315 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:16, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 20:12:50,811 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:12:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 20:13:06,359 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 20:13:21,934 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 20:13:37,583 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 20:13:53,274 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 20:14:08,921 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 20:14:24,521 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 20:14:40,094 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 20:14:55,907 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 20:15:11,664 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 20:15:24,554 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 20:15:47,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:15:47,958 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9933 +2025-07-02 20:15:47,959 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9312, top5_acc: 0.9933 +2025-07-02 20:16:24,807 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:04, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 20:16:40,309 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 20:16:55,848 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 20:17:11,352 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 20:17:26,872 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:08:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 20:17:42,593 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 20:17:58,216 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 20:18:13,928 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 20:18:29,666 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 20:18:45,198 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 20:19:00,994 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 20:19:14,039 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 20:19:36,818 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:19:36,828 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9930 +2025-07-02 20:19:36,828 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9327, top5_acc: 0.9930 +2025-07-02 20:20:13,388 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:52, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 20:20:28,877 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 20:20:44,374 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 20:20:59,901 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 20:21:15,435 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 20:21:31,027 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 20:21:46,710 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 20:22:02,490 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:04:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 20:22:18,180 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 20:22:34,061 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:25, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 20:22:49,691 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:23:02,373 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 20:23:25,318 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:23:25,329 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9956 +2025-07-02 20:23:25,332 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_122.pth was removed +2025-07-02 20:23:25,442 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-07-02 20:23:25,443 - pyskl - INFO - Best top1_acc is 0.9357 at 130 epoch. +2025-07-02 20:23:25,443 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9357, top5_acc: 0.9956 +2025-07-02 20:24:02,367 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:41, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 20:24:17,823 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 20:24:33,296 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 20:24:48,814 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 20:25:04,319 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 20:25:19,838 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 20:25:35,359 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 20:25:50,929 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 20:26:06,508 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 20:26:22,247 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 20:26:37,927 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:00:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:26:50,774 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 20:27:14,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:27:14,035 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9941 +2025-07-02 20:27:14,038 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_130.pth was removed +2025-07-02 20:27:14,161 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 20:27:14,161 - pyskl - INFO - Best top1_acc is 0.9386 at 131 epoch. +2025-07-02 20:27:14,162 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9386, top5_acc: 0.9941 +2025-07-02 20:27:50,951 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:29, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 20:28:06,506 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 20:28:22,079 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 20:28:37,669 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 20:28:53,199 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 20:29:08,679 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 20:29:24,154 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0504, loss: 0.0504 +2025-07-02 20:29:39,785 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 20:29:55,438 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 20:30:11,040 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 20:30:26,748 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 20:30:39,567 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 20:31:02,574 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:31:02,585 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9952 +2025-07-02 20:31:02,586 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9331, top5_acc: 0.9952 +2025-07-02 20:31:39,191 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:17, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 20:31:54,632 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 20:32:10,109 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 20:32:25,623 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 20:32:41,131 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 20:32:56,878 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:33:12,530 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 20:33:28,354 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 20:33:44,216 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 20:33:59,836 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 20:34:15,727 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:33, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 20:34:28,563 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 20:34:51,459 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:34:51,470 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9963 +2025-07-02 20:34:51,473 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_131.pth was removed +2025-07-02 20:34:51,584 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 20:34:51,585 - pyskl - INFO - Best top1_acc is 0.9393 at 133 epoch. +2025-07-02 20:34:51,585 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9393, top5_acc: 0.9963 +2025-07-02 20:35:28,501 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:05, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 20:35:43,970 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 20:35:59,471 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 20:36:14,979 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 20:36:30,538 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 20:36:46,128 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 20:37:01,769 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 20:37:17,582 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 20:37:33,249 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 20:37:48,825 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 20:38:04,462 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 20:38:17,198 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 20:38:40,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:38:40,345 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9952 +2025-07-02 20:38:40,346 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9364, top5_acc: 0.9952 +2025-07-02 20:39:16,998 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:54, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 20:39:32,482 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 20:39:48,012 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 20:40:03,511 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 20:40:19,015 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 20:40:34,591 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 20:40:50,216 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 20:41:05,918 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:48:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 20:41:21,483 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 20:41:37,281 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 20:41:53,014 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 20:42:05,806 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 20:42:28,632 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:42:28,642 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9937 +2025-07-02 20:42:28,643 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9393, top5_acc: 0.9937 +2025-07-02 20:43:05,510 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:42, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:43:21,129 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 20:43:36,713 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 20:43:52,211 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 20:44:07,657 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 20:44:23,102 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 20:44:38,592 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 20:44:54,282 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 20:45:10,012 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:45:25,672 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 20:45:41,250 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:44:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 20:45:53,902 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 20:46:17,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:46:17,081 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9937 +2025-07-02 20:46:17,085 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_133.pth was removed +2025-07-02 20:46:17,194 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2025-07-02 20:46:17,194 - pyskl - INFO - Best top1_acc is 0.9397 at 136 epoch. +2025-07-02 20:46:17,195 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9397, top5_acc: 0.9937 +2025-07-02 20:46:54,029 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:30, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 20:47:09,595 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 20:47:25,120 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:43:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 20:47:40,620 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 20:47:56,171 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 20:48:11,702 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 20:48:27,239 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 20:48:42,871 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 20:48:58,498 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 20:49:14,184 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 20:49:29,926 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 20:49:42,737 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 20:50:05,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:50:05,949 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9956 +2025-07-02 20:50:05,950 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9338, top5_acc: 0.9956 +2025-07-02 20:50:42,406 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:18, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 20:50:57,868 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 20:51:13,364 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 20:51:28,857 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0212, loss: 0.0212 +2025-07-02 20:51:44,371 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 20:51:59,893 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 20:52:15,403 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 20:52:30,982 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 20:52:46,614 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 20:53:02,229 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 20:53:17,890 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 20:53:30,592 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 20:53:53,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:53:53,615 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9945 +2025-07-02 20:53:53,616 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9368, top5_acc: 0.9945 +2025-07-02 20:54:30,234 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:06, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 20:54:45,787 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 20:55:01,438 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 20:55:16,964 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 20:55:32,501 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 20:55:48,034 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 20:56:03,590 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 20:56:19,271 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 20:56:35,054 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0212, loss: 0.0212 +2025-07-02 20:56:50,753 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 20:57:06,395 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 20:57:19,554 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 20:57:42,536 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:57:42,546 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9952 +2025-07-02 20:57:42,546 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9393, top5_acc: 0.9952 +2025-07-02 20:58:19,094 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:54, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 20:58:34,623 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 20:58:50,184 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 20:59:05,737 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 20:59:21,344 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 20:59:36,891 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 20:59:52,417 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0166, loss: 0.0166 +2025-07-02 21:00:08,044 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 21:00:23,880 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 21:00:39,712 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 21:00:55,537 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0192, loss: 0.0192 +2025-07-02 21:01:08,594 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 21:01:31,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:01:31,681 - pyskl - INFO - +top1_acc 0.9401 +top5_acc 0.9948 +2025-07-02 21:01:31,685 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_136.pth was removed +2025-07-02 21:01:31,796 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-07-02 21:01:31,797 - pyskl - INFO - Best top1_acc is 0.9401 at 140 epoch. +2025-07-02 21:01:31,798 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9401, top5_acc: 0.9948 +2025-07-02 21:02:08,590 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:43, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0153, loss: 0.0153 +2025-07-02 21:02:24,121 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0154, loss: 0.0154 +2025-07-02 21:02:39,655 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:02:55,174 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 21:03:10,677 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 21:03:26,323 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 21:03:41,988 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0129, loss: 0.0129 +2025-07-02 21:03:57,551 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0151, loss: 0.0151 +2025-07-02 21:04:13,099 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 21:04:28,608 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 21:04:44,289 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:28:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0148, loss: 0.0148 +2025-07-02 21:04:57,119 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 21:05:20,113 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:05:20,124 - pyskl - INFO - +top1_acc 0.9390 +top5_acc 0.9952 +2025-07-02 21:05:20,124 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9390, top5_acc: 0.9952 +2025-07-02 21:05:57,027 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:31, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 21:06:12,509 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 21:06:27,997 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:27:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 21:06:43,588 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0100, loss: 0.0100 +2025-07-02 21:06:59,133 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 21:07:14,743 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 21:07:30,318 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 21:07:46,146 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 21:08:01,803 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 21:08:17,405 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 21:08:33,128 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0168, loss: 0.0168 +2025-07-02 21:08:46,082 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 21:09:09,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:09:09,306 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9952 +2025-07-02 21:09:09,306 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9364, top5_acc: 0.9952 +2025-07-02 21:09:46,430 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:19, time: 0.371, data_time: 0.209, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 21:10:02,157 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 21:10:17,760 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 21:10:33,298 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0161, loss: 0.0161 +2025-07-02 21:10:48,829 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0176, loss: 0.0176 +2025-07-02 21:11:04,492 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 21:11:20,199 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0195, loss: 0.0195 +2025-07-02 21:11:35,972 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0156, loss: 0.0156 +2025-07-02 21:11:51,651 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 21:12:07,289 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 21:12:23,081 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0163, loss: 0.0163 +2025-07-02 21:12:36,033 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 21:12:59,009 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:12:59,019 - pyskl - INFO - +top1_acc 0.9390 +top5_acc 0.9956 +2025-07-02 21:12:59,019 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9390, top5_acc: 0.9956 +2025-07-02 21:13:35,586 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:07, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 21:13:51,075 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 21:14:06,576 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 21:14:22,072 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0163, loss: 0.0163 +2025-07-02 21:14:37,580 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0185, loss: 0.0185 +2025-07-02 21:14:53,155 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 21:15:08,740 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0193, loss: 0.0193 +2025-07-02 21:15:24,482 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0169, loss: 0.0169 +2025-07-02 21:15:40,111 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 21:15:55,681 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 21:16:11,547 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 21:16:24,446 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 21:16:47,649 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:16:47,660 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9956 +2025-07-02 21:16:47,660 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9393, top5_acc: 0.9956 +2025-07-02 21:17:24,497 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:55, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 21:17:40,037 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 21:17:55,556 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 21:18:11,038 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 21:18:26,527 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0094, loss: 0.0094 +2025-07-02 21:18:42,063 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:18:57,643 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0189, loss: 0.0189 +2025-07-02 21:19:13,237 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 21:19:28,975 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 21:19:44,742 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:20:00,509 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0141, loss: 0.0141 +2025-07-02 21:20:13,462 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 21:20:36,646 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:20:36,656 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9952 +2025-07-02 21:20:36,657 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9371, top5_acc: 0.9952 +2025-07-02 21:21:13,425 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:43, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:21:28,935 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0150, loss: 0.0150 +2025-07-02 21:21:44,470 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:22:00,011 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0171, loss: 0.0171 +2025-07-02 21:22:15,644 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 21:22:31,264 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 21:22:47,010 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 21:23:02,708 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0192, loss: 0.0192 +2025-07-02 21:23:18,277 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0147, loss: 0.0147 +2025-07-02 21:23:33,826 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 21:23:49,385 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 21:24:02,176 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 21:24:25,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:24:25,146 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9959 +2025-07-02 21:24:25,146 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9397, top5_acc: 0.9959 +2025-07-02 21:25:02,156 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:31, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 21:25:17,669 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 21:25:33,231 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 21:25:48,845 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 21:26:04,480 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 21:26:20,335 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:10, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0227, loss: 0.0227 +2025-07-02 21:26:35,976 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 21:26:51,762 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 21:27:07,523 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 21:27:23,228 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 21:27:39,119 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:48, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0122, loss: 0.0122 +2025-07-02 21:27:51,838 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 21:28:14,913 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:28:14,923 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9948 +2025-07-02 21:28:14,927 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_140.pth was removed +2025-07-02 21:28:15,052 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. +2025-07-02 21:28:15,053 - pyskl - INFO - Best top1_acc is 0.9405 at 147 epoch. +2025-07-02 21:28:15,054 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9405, top5_acc: 0.9948 +2025-07-02 21:28:52,305 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:19, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 21:29:07,954 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 21:29:23,619 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0152, loss: 0.0152 +2025-07-02 21:29:39,272 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 21:29:54,861 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 21:30:10,584 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0154, loss: 0.0154 +2025-07-02 21:30:26,319 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 21:30:42,003 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 21:30:57,800 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 21:31:13,431 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 21:31:29,103 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0129, loss: 0.0129 +2025-07-02 21:31:41,913 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 21:32:04,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:32:04,887 - pyskl - INFO - +top1_acc 0.9390 +top5_acc 0.9952 +2025-07-02 21:32:04,887 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9390, top5_acc: 0.9952 +2025-07-02 21:32:41,660 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:07, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:32:57,175 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0126, loss: 0.0126 +2025-07-02 21:33:12,660 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0187, loss: 0.0187 +2025-07-02 21:33:28,252 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 21:33:43,924 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:33:59,487 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0129, loss: 0.0129 +2025-07-02 21:34:15,021 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0139, loss: 0.0139 +2025-07-02 21:34:30,643 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 21:34:46,251 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0141, loss: 0.0141 +2025-07-02 21:35:01,857 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0217, loss: 0.0217 +2025-07-02 21:35:17,598 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 21:35:30,225 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 21:35:53,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:35:53,609 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9952 +2025-07-02 21:35:53,609 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9371, top5_acc: 0.9952 +2025-07-02 21:36:30,943 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:55, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 21:36:46,592 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 21:37:02,246 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 21:37:17,840 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0182, loss: 0.0182 +2025-07-02 21:37:33,430 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 21:37:49,084 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 21:38:04,720 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0150, loss: 0.0150 +2025-07-02 21:38:20,326 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 21:38:35,962 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 21:38:51,523 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 21:39:07,251 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0127, loss: 0.0127 +2025-07-02 21:39:19,975 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 21:39:42,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:39:42,995 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9956 +2025-07-02 21:39:42,996 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9386, top5_acc: 0.9956 +2025-07-02 21:39:49,550 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 21:41:16,113 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 21:41:16,113 - pyskl - INFO - top1_acc: 0.9479 +2025-07-02 21:41:16,113 - pyskl - INFO - top5_acc: 0.9959 +2025-07-02 21:41:16,113 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/bm/best_top1_acc_epoch_147.pth +2025-07-02 21:42:42,815 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 21:42:42,815 - pyskl - INFO - top1_acc: 0.9475 +2025-07-02 21:42:42,815 - pyskl - INFO - top5_acc: 0.9956 diff --git a/pku_mmd_xsub/bm/20250702_121022.log.json b/pku_mmd_xsub/bm/20250702_121022.log.json new file mode 100644 index 0000000000000000000000000000000000000000..cac835ccd01609581e309f8a0b75c4ef20f7b0e0 --- /dev/null +++ b/pku_mmd_xsub/bm/20250702_121022.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare 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"epoch": 149, "iter": 100, "lr": 1e-05, "memory": 3566, "data_time": 0.20826, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02642, "loss": 0.02642, "time": 0.36769} +{"mode": "train", "epoch": 149, "iter": 200, "lr": 1e-05, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99812, "top5_acc": 1.0, "loss_cls": 0.01262, "loss": 0.01262, "time": 0.15515} +{"mode": "train", "epoch": 149, "iter": 300, "lr": 1e-05, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01868, "loss": 0.01868, "time": 0.15485} +{"mode": "train", "epoch": 149, "iter": 400, "lr": 1e-05, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02402, "loss": 0.02402, "time": 0.15591} +{"mode": "train", "epoch": 149, "iter": 500, "lr": 1e-05, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99562, "top5_acc": 0.99938, "loss_cls": 0.02019, "loss": 0.02019, "time": 0.15672} +{"mode": "train", "epoch": 149, "iter": 600, "lr": 1e-05, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99812, "top5_acc": 1.0, "loss_cls": 0.01294, "loss": 0.01294, "time": 0.15563} +{"mode": "train", "epoch": 149, "iter": 700, "lr": 1e-05, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.01394, "loss": 0.01394, "time": 0.15534} +{"mode": "train", "epoch": 149, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01994, "loss": 0.01994, "time": 0.15621} +{"mode": "train", "epoch": 149, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99875, "top5_acc": 1.0, "loss_cls": 0.01406, "loss": 0.01406, "time": 0.15608} +{"mode": "train", "epoch": 149, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02165, "loss": 0.02165, "time": 0.15606} +{"mode": "train", "epoch": 149, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00017, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01944, "loss": 0.01944, "time": 0.1574} +{"mode": "val", "epoch": 149, "iter": 169, "lr": 0.0, "top1_acc": 0.93713, "top5_acc": 0.99519} +{"mode": "train", "epoch": 150, "iter": 100, "lr": 0.0, "memory": 3566, "data_time": 0.21225, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02078, "loss": 0.02078, "time": 0.3733} +{"mode": "train", "epoch": 150, "iter": 200, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.0248, "loss": 0.0248, "time": 0.15649} +{"mode": "train", "epoch": 150, "iter": 300, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02405, "loss": 0.02405, "time": 0.15653} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01815, "loss": 0.01815, "time": 0.15595} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02044, "loss": 0.02044, "time": 0.15589} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.03037, "loss": 0.03037, "time": 0.15654} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 3566, "data_time": 0.00017, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01503, "loss": 0.01503, "time": 0.15635} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.02523, "loss": 0.02523, "time": 0.15606} +{"mode": "train", "epoch": 150, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.02809, "loss": 0.02809, "time": 0.15636} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02072, "loss": 0.02072, "time": 0.15561} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99938, "top5_acc": 1.0, "loss_cls": 0.01265, "loss": 0.01265, "time": 0.15727} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.93861, "top5_acc": 0.99556} diff --git a/pku_mmd_xsub/bm/best_pred.pkl b/pku_mmd_xsub/bm/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..8875cfbd1ab50398f5afdf74910ad732474e83ce --- /dev/null +++ b/pku_mmd_xsub/bm/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aa36d0ddfe4545c5831adbdcb516c0d784bbdde16b48f5e3c8845d21c762821f +size 954613 diff --git a/pku_mmd_xsub/bm/best_top1_acc_epoch_150.pth b/pku_mmd_xsub/bm/best_top1_acc_epoch_150.pth new file mode 100644 index 0000000000000000000000000000000000000000..1ba4f1dd0ae6fb77ddd41d08358b7bfca7695985 --- /dev/null +++ b/pku_mmd_xsub/bm/best_top1_acc_epoch_150.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66ce579086538afb7a90eebd586182f6b7546e7710e3ad023ea198d4e8dfb8e6 +size 16576377 diff --git a/pku_mmd_xsub/bm/bm.py b/pku_mmd_xsub/bm/bm.py new file mode 100644 index 0000000000000000000000000000000000000000..f53469b8886d1c06f75c75d8d0dbf4766df41eed --- /dev/null +++ b/pku_mmd_xsub/bm/bm.py @@ -0,0 +1,98 @@ +modality = 'bm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/bm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/j_1/20250702_013020.log b/pku_mmd_xsub/j_1/20250702_013020.log new file mode 100644 index 0000000000000000000000000000000000000000..a24252acb089a0685e1dbdc096e18b637753e24a --- /dev/null +++ b/pku_mmd_xsub/j_1/20250702_013020.log @@ -0,0 +1,2823 @@ +2025-07-02 01:30:21,127 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 01:30:21,410 - pyskl - INFO - Config: modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/j_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 01:30:21,411 - pyskl - INFO - Set random seed to 437096933, deterministic: False +2025-07-02 01:30:25,223 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 01:30:31,683 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 01:30:31,687 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1 +2025-07-02 01:30:31,687 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 01:30:31,688 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 01:30:31,688 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1 by HardDiskBackend. +2025-07-02 01:31:08,302 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:57:35, time: 0.366, data_time: 0.211, memory: 3565, top1_acc: 0.0656, top5_acc: 0.2319, loss_cls: 4.2839, loss: 4.2839 +2025-07-02 01:31:23,234 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:38:06, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.0856, top5_acc: 0.3194, loss_cls: 4.0895, loss: 4.0895 +2025-07-02 01:31:38,214 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:51:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1100, top5_acc: 0.4088, loss_cls: 3.8080, loss: 3.8080 +2025-07-02 01:31:53,106 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:58:03, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1669, top5_acc: 0.5337, loss_cls: 3.4629, loss: 3.4629 +2025-07-02 01:32:07,964 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:25:25, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.2213, top5_acc: 0.6350, loss_cls: 3.1830, loss: 3.1830 +2025-07-02 01:32:22,905 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:04:00, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.2456, top5_acc: 0.6956, loss_cls: 2.9828, loss: 2.9828 +2025-07-02 01:32:37,891 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:48:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.2819, top5_acc: 0.7412, loss_cls: 2.8482, loss: 2.8482 +2025-07-02 01:32:52,981 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:37:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3406, top5_acc: 0.7844, loss_cls: 2.6487, loss: 2.6487 +2025-07-02 01:33:08,038 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:28:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3762, top5_acc: 0.8137, loss_cls: 2.4593, loss: 2.4593 +2025-07-02 01:33:23,111 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:21:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4256, top5_acc: 0.8431, loss_cls: 2.3163, loss: 2.3163 +2025-07-02 01:33:38,004 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:15:41, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4519, top5_acc: 0.8562, loss_cls: 2.2972, loss: 2.2972 +2025-07-02 01:33:50,249 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 01:34:13,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:34:13,555 - pyskl - INFO - +top1_acc 0.5022 +top5_acc 0.9434 +2025-07-02 01:34:13,689 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 01:34:13,689 - pyskl - INFO - Best top1_acc is 0.5022 at 1 epoch. +2025-07-02 01:34:13,690 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5022, top5_acc: 0.9434 +2025-07-02 01:34:49,871 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:28:58, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.5400, top5_acc: 0.9087, loss_cls: 1.9325, loss: 1.9325 +2025-07-02 01:35:05,054 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:23:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5450, top5_acc: 0.9062, loss_cls: 1.8791, loss: 1.8791 +2025-07-02 01:35:20,242 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:19:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5787, top5_acc: 0.9163, loss_cls: 1.8024, loss: 1.8024 +2025-07-02 01:35:35,293 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:15:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5906, top5_acc: 0.9187, loss_cls: 1.7905, loss: 1.7905 +2025-07-02 01:35:50,282 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:11:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5969, top5_acc: 0.9200, loss_cls: 1.7714, loss: 1.7714 +2025-07-02 01:36:05,285 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:08:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6244, top5_acc: 0.9331, loss_cls: 1.6624, loss: 1.6624 +2025-07-02 01:36:20,266 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:05:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6088, top5_acc: 0.9175, loss_cls: 1.7325, loss: 1.7325 +2025-07-02 01:36:35,286 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:02:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6169, top5_acc: 0.9325, loss_cls: 1.6265, loss: 1.6265 +2025-07-02 01:36:50,338 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:00:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6406, top5_acc: 0.9331, loss_cls: 1.5639, loss: 1.5639 +2025-07-02 01:37:05,403 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:58:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6525, top5_acc: 0.9431, loss_cls: 1.5457, loss: 1.5457 +2025-07-02 01:37:20,403 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:56:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6512, top5_acc: 0.9487, loss_cls: 1.4962, loss: 1.4962 +2025-07-02 01:37:32,732 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 01:37:55,646 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:37:55,656 - pyskl - INFO - +top1_acc 0.6694 +top5_acc 0.9615 +2025-07-02 01:37:55,659 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_1.pth was removed +2025-07-02 01:37:55,765 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 01:37:55,766 - pyskl - INFO - Best top1_acc is 0.6694 at 2 epoch. +2025-07-02 01:37:55,767 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.6694, top5_acc: 0.9615 +2025-07-02 01:38:32,083 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:04:00, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.6763, top5_acc: 0.9444, loss_cls: 1.4513, loss: 1.4513 +2025-07-02 01:38:47,212 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:01:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6856, top5_acc: 0.9487, loss_cls: 1.4107, loss: 1.4107 +2025-07-02 01:39:02,265 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:00:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6756, top5_acc: 0.9500, loss_cls: 1.4010, loss: 1.4010 +2025-07-02 01:39:17,334 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:58:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6763, top5_acc: 0.9406, loss_cls: 1.4439, loss: 1.4439 +2025-07-02 01:39:32,455 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:56:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7056, top5_acc: 0.9437, loss_cls: 1.3877, loss: 1.3877 +2025-07-02 01:39:47,494 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:54:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6863, top5_acc: 0.9487, loss_cls: 1.4096, loss: 1.4096 +2025-07-02 01:40:02,626 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:53:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7125, top5_acc: 0.9544, loss_cls: 1.3237, loss: 1.3237 +2025-07-02 01:40:17,781 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:52:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7137, top5_acc: 0.9525, loss_cls: 1.3324, loss: 1.3324 +2025-07-02 01:40:32,847 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:50:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7069, top5_acc: 0.9513, loss_cls: 1.3615, loss: 1.3615 +2025-07-02 01:40:47,962 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:49:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7269, top5_acc: 0.9587, loss_cls: 1.2816, loss: 1.2816 +2025-07-02 01:41:03,263 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:48:16, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6969, top5_acc: 0.9531, loss_cls: 1.3321, loss: 1.3321 +2025-07-02 01:41:15,669 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 01:41:38,634 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:41:38,645 - pyskl - INFO - +top1_acc 0.7552 +top5_acc 0.9793 +2025-07-02 01:41:38,649 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_2.pth was removed +2025-07-02 01:41:38,760 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 01:41:38,760 - pyskl - INFO - Best top1_acc is 0.7552 at 3 epoch. +2025-07-02 01:41:38,761 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7552, top5_acc: 0.9793 +2025-07-02 01:42:14,910 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:53:34, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.7238, top5_acc: 0.9650, loss_cls: 1.2332, loss: 1.2332 +2025-07-02 01:42:30,071 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:52:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7312, top5_acc: 0.9581, loss_cls: 1.2807, loss: 1.2807 +2025-07-02 01:42:45,023 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:50:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7306, top5_acc: 0.9606, loss_cls: 1.2231, loss: 1.2231 +2025-07-02 01:43:00,021 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:49:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7300, top5_acc: 0.9550, loss_cls: 1.2377, loss: 1.2377 +2025-07-02 01:43:15,067 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:48:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7281, top5_acc: 0.9575, loss_cls: 1.2305, loss: 1.2305 +2025-07-02 01:43:30,151 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:47:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7481, top5_acc: 0.9613, loss_cls: 1.2003, loss: 1.2003 +2025-07-02 01:43:45,250 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:46:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7338, top5_acc: 0.9581, loss_cls: 1.2507, loss: 1.2507 +2025-07-02 01:44:00,412 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:45:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7362, top5_acc: 0.9487, loss_cls: 1.2614, loss: 1.2614 +2025-07-02 01:44:15,508 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:44:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7488, top5_acc: 0.9675, loss_cls: 1.1628, loss: 1.1628 +2025-07-02 01:44:30,638 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:43:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7450, top5_acc: 0.9625, loss_cls: 1.2132, loss: 1.2132 +2025-07-02 01:44:45,705 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:42:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7512, top5_acc: 0.9637, loss_cls: 1.1511, loss: 1.1511 +2025-07-02 01:44:58,099 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 01:45:20,919 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:45:20,929 - pyskl - INFO - +top1_acc 0.7648 +top5_acc 0.9719 +2025-07-02 01:45:20,932 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_3.pth was removed +2025-07-02 01:45:21,038 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 01:45:21,039 - pyskl - INFO - Best top1_acc is 0.7648 at 4 epoch. +2025-07-02 01:45:21,040 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7648, top5_acc: 0.9719 +2025-07-02 01:45:57,254 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:46:32, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 1.1183, loss: 1.1183 +2025-07-02 01:46:12,223 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:45:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7506, top5_acc: 0.9619, loss_cls: 1.1882, loss: 1.1882 +2025-07-02 01:46:27,367 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:44:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7494, top5_acc: 0.9594, loss_cls: 1.1818, loss: 1.1818 +2025-07-02 01:46:42,574 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:43:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7706, top5_acc: 0.9681, loss_cls: 1.1105, loss: 1.1105 +2025-07-02 01:46:57,605 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:42:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7706, top5_acc: 0.9725, loss_cls: 1.0993, loss: 1.0993 +2025-07-02 01:47:12,797 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:42:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7725, top5_acc: 0.9719, loss_cls: 1.1013, loss: 1.1013 +2025-07-02 01:47:27,993 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:41:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7662, top5_acc: 0.9606, loss_cls: 1.1162, loss: 1.1162 +2025-07-02 01:47:42,988 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:40:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9688, loss_cls: 1.0967, loss: 1.0967 +2025-07-02 01:47:57,963 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:39:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7775, top5_acc: 0.9738, loss_cls: 1.0116, loss: 1.0116 +2025-07-02 01:48:13,026 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:38:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7612, top5_acc: 0.9613, loss_cls: 1.0951, loss: 1.0951 +2025-07-02 01:48:28,171 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:37:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7825, top5_acc: 0.9694, loss_cls: 1.0510, loss: 1.0510 +2025-07-02 01:48:40,585 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 01:49:03,645 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:49:03,655 - pyskl - INFO - +top1_acc 0.7885 +top5_acc 0.9752 +2025-07-02 01:49:03,659 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_4.pth was removed +2025-07-02 01:49:03,767 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 01:49:03,767 - pyskl - INFO - Best top1_acc is 0.7885 at 5 epoch. +2025-07-02 01:49:03,768 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.7885, top5_acc: 0.9752 +2025-07-02 01:49:39,980 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:41:06, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9725, loss_cls: 0.9944, loss: 0.9944 +2025-07-02 01:49:55,113 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:40:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 1.1032, loss: 1.1032 +2025-07-02 01:50:10,069 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:39:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7950, top5_acc: 0.9706, loss_cls: 1.0151, loss: 1.0151 +2025-07-02 01:50:24,982 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:38:39, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7744, top5_acc: 0.9675, loss_cls: 1.0613, loss: 1.0613 +2025-07-02 01:50:39,914 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:37:50, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7969, top5_acc: 0.9706, loss_cls: 1.0005, loss: 1.0005 +2025-07-02 01:50:54,870 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:37:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7775, top5_acc: 0.9731, loss_cls: 1.0334, loss: 1.0334 +2025-07-02 01:51:09,905 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:36:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7850, top5_acc: 0.9656, loss_cls: 1.0314, loss: 1.0314 +2025-07-02 01:51:25,050 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:35:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9681, loss_cls: 1.0497, loss: 1.0497 +2025-07-02 01:51:40,135 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:34:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7894, top5_acc: 0.9694, loss_cls: 1.0321, loss: 1.0321 +2025-07-02 01:51:55,141 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:34:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7887, top5_acc: 0.9738, loss_cls: 0.9792, loss: 0.9792 +2025-07-02 01:52:10,320 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:33:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9712, loss_cls: 0.9645, loss: 0.9645 +2025-07-02 01:52:22,493 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 01:52:45,498 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:52:45,508 - pyskl - INFO - +top1_acc 0.7692 +top5_acc 0.9778 +2025-07-02 01:52:45,508 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.7692, top5_acc: 0.9778 +2025-07-02 01:53:21,719 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:36:11, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9750, loss_cls: 0.9374, loss: 0.9374 +2025-07-02 01:53:36,955 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:35:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9738, loss_cls: 0.9595, loss: 0.9595 +2025-07-02 01:53:52,176 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:34:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9644, loss_cls: 0.9631, loss: 0.9631 +2025-07-02 01:54:07,191 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:34:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8000, top5_acc: 0.9762, loss_cls: 0.9718, loss: 0.9718 +2025-07-02 01:54:22,154 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:33:34, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9663, loss_cls: 1.0673, loss: 1.0673 +2025-07-02 01:54:37,176 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:32:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9762, loss_cls: 0.9436, loss: 0.9436 +2025-07-02 01:54:52,184 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:32:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9694, loss_cls: 1.0037, loss: 1.0037 +2025-07-02 01:55:07,113 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:31:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8050, top5_acc: 0.9769, loss_cls: 0.9005, loss: 0.9005 +2025-07-02 01:55:22,012 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:30:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8063, top5_acc: 0.9731, loss_cls: 0.9382, loss: 0.9382 +2025-07-02 01:55:36,991 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:30:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8013, top5_acc: 0.9688, loss_cls: 0.9618, loss: 0.9618 +2025-07-02 01:55:52,096 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:29:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7956, top5_acc: 0.9775, loss_cls: 0.9104, loss: 0.9104 +2025-07-02 01:56:04,606 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 01:56:27,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:56:27,632 - pyskl - INFO - +top1_acc 0.8199 +top5_acc 0.9885 +2025-07-02 01:56:27,636 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_5.pth was removed +2025-07-02 01:56:27,756 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 01:56:27,756 - pyskl - INFO - Best top1_acc is 0.8199 at 7 epoch. +2025-07-02 01:56:27,757 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8199, top5_acc: 0.9885 +2025-07-02 01:57:04,159 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:31:52, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8031, top5_acc: 0.9750, loss_cls: 0.9537, loss: 0.9537 +2025-07-02 01:57:19,397 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:31:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9756, loss_cls: 0.8565, loss: 0.8565 +2025-07-02 01:57:34,704 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:30:47, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9700, loss_cls: 0.9041, loss: 0.9041 +2025-07-02 01:57:49,877 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:30:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9775, loss_cls: 0.8846, loss: 0.8846 +2025-07-02 01:58:04,839 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:29:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9781, loss_cls: 0.8963, loss: 0.8963 +2025-07-02 01:58:19,819 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:28:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9719, loss_cls: 0.9530, loss: 0.9530 +2025-07-02 01:58:34,771 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:28:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9738, loss_cls: 0.9172, loss: 0.9172 +2025-07-02 01:58:49,723 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:27:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8063, top5_acc: 0.9725, loss_cls: 0.9247, loss: 0.9247 +2025-07-02 01:59:04,673 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:27:11, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9738, loss_cls: 0.8960, loss: 0.8960 +2025-07-02 01:59:19,653 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:26:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9675, loss_cls: 0.9669, loss: 0.9669 +2025-07-02 01:59:34,692 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:26:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9775, loss_cls: 0.8823, loss: 0.8823 +2025-07-02 01:59:47,054 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 02:00:10,259 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:00:10,269 - pyskl - INFO - +top1_acc 0.7866 +top5_acc 0.9782 +2025-07-02 02:00:10,270 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.7866, top5_acc: 0.9782 +2025-07-02 02:00:46,334 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:27:47, time: 0.361, data_time: 0.212, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9794, loss_cls: 0.8792, loss: 0.8792 +2025-07-02 02:01:01,368 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:27:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9812, loss_cls: 0.8606, loss: 0.8606 +2025-07-02 02:01:16,786 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:26:46, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8144, top5_acc: 0.9750, loss_cls: 0.8938, loss: 0.8938 +2025-07-02 02:01:31,900 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:26:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9769, loss_cls: 0.8889, loss: 0.8889 +2025-07-02 02:01:46,919 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:25:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 0.7995, loss: 0.7995 +2025-07-02 02:02:01,997 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:25:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9744, loss_cls: 0.8892, loss: 0.8892 +2025-07-02 02:02:17,062 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:24:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9719, loss_cls: 0.9014, loss: 0.9014 +2025-07-02 02:02:32,011 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:24:04, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9800, loss_cls: 0.8590, loss: 0.8590 +2025-07-02 02:02:47,008 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:23:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9750, loss_cls: 0.8827, loss: 0.8827 +2025-07-02 02:03:02,013 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:23:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9769, loss_cls: 0.8893, loss: 0.8893 +2025-07-02 02:03:17,072 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:22:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9775, loss_cls: 0.8778, loss: 0.8778 +2025-07-02 02:03:29,391 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 02:03:52,755 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:03:52,765 - pyskl - INFO - +top1_acc 0.7334 +top5_acc 0.9704 +2025-07-02 02:03:52,765 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.7334, top5_acc: 0.9704 +2025-07-02 02:04:29,067 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:24:03, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9788, loss_cls: 0.8957, loss: 0.8957 +2025-07-02 02:04:44,141 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:23:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 0.7960, loss: 0.7960 +2025-07-02 02:04:59,106 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:22:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9788, loss_cls: 0.8031, loss: 0.8031 +2025-07-02 02:05:13,998 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:22:26, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 0.8055, loss: 0.8055 +2025-07-02 02:05:28,848 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:21:52, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 0.8490, loss: 0.8490 +2025-07-02 02:05:43,764 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:21:20, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9719, loss_cls: 0.8614, loss: 0.8614 +2025-07-02 02:05:58,814 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:20:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9788, loss_cls: 0.8603, loss: 0.8603 +2025-07-02 02:06:13,897 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:20:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 0.7487, loss: 0.7487 +2025-07-02 02:06:28,969 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:19:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9769, loss_cls: 0.8313, loss: 0.8313 +2025-07-02 02:06:44,035 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:19:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9750, loss_cls: 0.8036, loss: 0.8036 +2025-07-02 02:06:59,276 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:18:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9800, loss_cls: 0.8041, loss: 0.8041 +2025-07-02 02:07:11,590 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 02:07:34,686 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:07:34,696 - pyskl - INFO - +top1_acc 0.8354 +top5_acc 0.9878 +2025-07-02 02:07:34,700 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_7.pth was removed +2025-07-02 02:07:34,807 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 02:07:34,808 - pyskl - INFO - Best top1_acc is 0.8354 at 10 epoch. +2025-07-02 02:07:34,808 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8354, top5_acc: 0.9878 +2025-07-02 02:08:10,902 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:20:15, time: 0.361, data_time: 0.212, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 0.7927, loss: 0.7927 +2025-07-02 02:08:26,027 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:19:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9838, loss_cls: 0.8219, loss: 0.8219 +2025-07-02 02:08:40,837 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:19:14, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9831, loss_cls: 0.8029, loss: 0.8029 +2025-07-02 02:08:55,634 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:18:42, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 0.7980, loss: 0.7980 +2025-07-02 02:09:10,779 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:18:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9731, loss_cls: 0.8625, loss: 0.8625 +2025-07-02 02:09:25,930 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:17:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9806, loss_cls: 0.8454, loss: 0.8454 +2025-07-02 02:09:40,878 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:17:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9825, loss_cls: 0.8042, loss: 0.8042 +2025-07-02 02:09:55,708 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:16:46, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9762, loss_cls: 0.8574, loss: 0.8574 +2025-07-02 02:10:10,644 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:16:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9744, loss_cls: 0.7956, loss: 0.7956 +2025-07-02 02:10:25,548 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:15:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 0.7672, loss: 0.7672 +2025-07-02 02:10:40,610 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:15:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9800, loss_cls: 0.7933, loss: 0.7933 +2025-07-02 02:10:52,960 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 02:11:16,033 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:11:16,043 - pyskl - INFO - +top1_acc 0.8443 +top5_acc 0.9900 +2025-07-02 02:11:16,047 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_10.pth was removed +2025-07-02 02:11:16,167 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 02:11:16,167 - pyskl - INFO - Best top1_acc is 0.8443 at 11 epoch. +2025-07-02 02:11:16,168 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8443, top5_acc: 0.9900 +2025-07-02 02:11:52,518 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:16:32, time: 0.363, data_time: 0.213, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9838, loss_cls: 0.7347, loss: 0.7347 +2025-07-02 02:12:07,583 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:16:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9762, loss_cls: 0.8181, loss: 0.8181 +2025-07-02 02:12:22,731 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:15:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9781, loss_cls: 0.7536, loss: 0.7536 +2025-07-02 02:12:37,824 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:15:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9762, loss_cls: 0.7772, loss: 0.7772 +2025-07-02 02:12:52,855 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:14:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9831, loss_cls: 0.7821, loss: 0.7821 +2025-07-02 02:13:07,893 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:14:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9825, loss_cls: 0.7767, loss: 0.7767 +2025-07-02 02:13:22,873 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:13:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9769, loss_cls: 0.7906, loss: 0.7906 +2025-07-02 02:13:38,025 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:13:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 0.7625, loss: 0.7625 +2025-07-02 02:13:53,188 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:12:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 0.7994, loss: 0.7994 +2025-07-02 02:14:08,395 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:12:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9825, loss_cls: 0.8034, loss: 0.8034 +2025-07-02 02:14:23,602 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:12:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9781, loss_cls: 0.8289, loss: 0.8289 +2025-07-02 02:14:36,038 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 02:14:58,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:14:58,945 - pyskl - INFO - +top1_acc 0.8299 +top5_acc 0.9871 +2025-07-02 02:14:58,945 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8299, top5_acc: 0.9871 +2025-07-02 02:15:35,427 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:13:12, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9862, loss_cls: 0.7602, loss: 0.7602 +2025-07-02 02:15:50,414 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:12:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 0.6851, loss: 0.6851 +2025-07-02 02:16:05,488 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:12:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9844, loss_cls: 0.7160, loss: 0.7160 +2025-07-02 02:16:20,587 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:11:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9794, loss_cls: 0.7972, loss: 0.7972 +2025-07-02 02:16:35,676 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:11:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9806, loss_cls: 0.7795, loss: 0.7795 +2025-07-02 02:16:51,112 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:11:04, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 0.7733, loss: 0.7733 +2025-07-02 02:17:06,274 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:10:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9850, loss_cls: 0.7702, loss: 0.7702 +2025-07-02 02:17:21,368 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:10:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9800, loss_cls: 0.7992, loss: 0.7992 +2025-07-02 02:17:36,446 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:09:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9788, loss_cls: 0.7488, loss: 0.7488 +2025-07-02 02:17:51,553 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:09:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9769, loss_cls: 0.7463, loss: 0.7463 +2025-07-02 02:18:06,770 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:09:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 0.7832, loss: 0.7832 +2025-07-02 02:18:19,148 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 02:18:42,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:18:42,196 - pyskl - INFO - +top1_acc 0.8425 +top5_acc 0.9882 +2025-07-02 02:18:42,196 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8425, top5_acc: 0.9882 +2025-07-02 02:19:18,503 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:09:55, time: 0.363, data_time: 0.214, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 0.7368, loss: 0.7368 +2025-07-02 02:19:33,503 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:09:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 0.7261, loss: 0.7261 +2025-07-02 02:19:48,550 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:09:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 0.7076, loss: 0.7076 +2025-07-02 02:20:03,767 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:08:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 0.7479, loss: 0.7479 +2025-07-02 02:20:18,873 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:08:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9812, loss_cls: 0.7159, loss: 0.7159 +2025-07-02 02:20:33,805 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:07:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 0.7389, loss: 0.7389 +2025-07-02 02:20:48,811 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:07:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9831, loss_cls: 0.7810, loss: 0.7810 +2025-07-02 02:21:03,812 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:06:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 0.7451, loss: 0.7451 +2025-07-02 02:21:18,830 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:06:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9800, loss_cls: 0.7585, loss: 0.7585 +2025-07-02 02:21:33,895 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:06:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 0.7715, loss: 0.7715 +2025-07-02 02:21:49,044 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:05:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9812, loss_cls: 0.6700, loss: 0.6700 +2025-07-02 02:22:01,317 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 02:22:24,358 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:22:24,369 - pyskl - INFO - +top1_acc 0.8521 +top5_acc 0.9904 +2025-07-02 02:22:24,372 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_11.pth was removed +2025-07-02 02:22:24,483 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2025-07-02 02:22:24,484 - pyskl - INFO - Best top1_acc is 0.8521 at 14 epoch. +2025-07-02 02:22:24,485 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8521, top5_acc: 0.9904 +2025-07-02 02:23:01,041 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:06:34, time: 0.366, data_time: 0.215, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 0.7283, loss: 0.7283 +2025-07-02 02:23:16,103 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:06:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9800, loss_cls: 0.7585, loss: 0.7585 +2025-07-02 02:23:31,160 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:05:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6534, loss: 0.6534 +2025-07-02 02:23:46,254 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:05:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 0.6568, loss: 0.6568 +2025-07-02 02:24:01,408 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:04:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 0.6520, loss: 0.6520 +2025-07-02 02:24:16,464 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:04:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9838, loss_cls: 0.7517, loss: 0.7517 +2025-07-02 02:24:31,654 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:04:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9781, loss_cls: 0.7758, loss: 0.7758 +2025-07-02 02:24:46,832 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:03:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 0.7167, loss: 0.7167 +2025-07-02 02:25:02,022 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:03:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 0.6678, loss: 0.6678 +2025-07-02 02:25:17,014 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:02:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9781, loss_cls: 0.7192, loss: 0.7192 +2025-07-02 02:25:32,094 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:02:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 0.7082, loss: 0.7082 +2025-07-02 02:25:44,509 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 02:26:07,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:26:07,648 - pyskl - INFO - +top1_acc 0.8095 +top5_acc 0.9730 +2025-07-02 02:26:07,649 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8095, top5_acc: 0.9730 +2025-07-02 02:26:44,193 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:03:19, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 0.6762, loss: 0.6762 +2025-07-02 02:26:59,204 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:02:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9775, loss_cls: 0.7165, loss: 0.7165 +2025-07-02 02:27:14,137 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:02:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 0.7056, loss: 0.7056 +2025-07-02 02:27:29,132 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:02:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9850, loss_cls: 0.7169, loss: 0.7169 +2025-07-02 02:27:44,202 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:01:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 0.7122, loss: 0.7122 +2025-07-02 02:27:59,210 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:01:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 0.7601, loss: 0.7601 +2025-07-02 02:28:14,495 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:00:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9844, loss_cls: 0.7252, loss: 0.7252 +2025-07-02 02:28:29,651 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:00:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6281, loss: 0.6281 +2025-07-02 02:28:44,787 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:00:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.7079, loss: 0.7079 +2025-07-02 02:28:59,957 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 6:59:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9794, loss_cls: 0.7240, loss: 0.7240 +2025-07-02 02:29:15,194 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 6:59:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 0.6034, loss: 0.6034 +2025-07-02 02:29:27,531 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 02:29:50,386 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:29:50,396 - pyskl - INFO - +top1_acc 0.8550 +top5_acc 0.9885 +2025-07-02 02:29:50,400 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_14.pth was removed +2025-07-02 02:29:50,511 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-07-02 02:29:50,512 - pyskl - INFO - Best top1_acc is 0.8550 at 16 epoch. +2025-07-02 02:29:50,513 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8550, top5_acc: 0.9885 +2025-07-02 02:30:26,928 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:00:04, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9806, loss_cls: 0.6487, loss: 0.6487 +2025-07-02 02:30:41,997 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 6:59:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 0.7307, loss: 0.7307 +2025-07-02 02:30:56,974 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 6:59:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9869, loss_cls: 0.6506, loss: 0.6506 +2025-07-02 02:31:11,992 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:58:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 0.6843, loss: 0.6843 +2025-07-02 02:31:26,986 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:58:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 0.6831, loss: 0.6831 +2025-07-02 02:31:42,102 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:58:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 0.6715, loss: 0.6715 +2025-07-02 02:31:57,112 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:57:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 0.6791, loss: 0.6791 +2025-07-02 02:32:12,005 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:57:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 0.6640, loss: 0.6640 +2025-07-02 02:32:26,936 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:56:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 0.7132, loss: 0.7132 +2025-07-02 02:32:41,937 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:56:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9875, loss_cls: 0.6530, loss: 0.6530 +2025-07-02 02:32:56,967 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:56:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9888, loss_cls: 0.6867, loss: 0.6867 +2025-07-02 02:33:09,113 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 02:33:32,274 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:33:32,284 - pyskl - INFO - +top1_acc 0.8510 +top5_acc 0.9893 +2025-07-02 02:33:32,285 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8510, top5_acc: 0.9893 +2025-07-02 02:34:08,782 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:56:42, time: 0.365, data_time: 0.215, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 0.6634, loss: 0.6634 +2025-07-02 02:34:23,815 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:56:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9869, loss_cls: 0.6465, loss: 0.6465 +2025-07-02 02:34:38,904 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:55:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9788, loss_cls: 0.6565, loss: 0.6565 +2025-07-02 02:34:54,145 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:55:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 0.6929, loss: 0.6929 +2025-07-02 02:35:09,148 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:55:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.6798, loss: 0.6798 +2025-07-02 02:35:24,097 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:54:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 0.6420, loss: 0.6420 +2025-07-02 02:35:39,051 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:54:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 0.6693, loss: 0.6693 +2025-07-02 02:35:54,072 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:54:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 0.6637, loss: 0.6637 +2025-07-02 02:36:09,026 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:53:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 0.6519, loss: 0.6519 +2025-07-02 02:36:24,002 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:53:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9875, loss_cls: 0.6737, loss: 0.6737 +2025-07-02 02:36:38,975 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:52:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9806, loss_cls: 0.6954, loss: 0.6954 +2025-07-02 02:36:51,173 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 02:37:14,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:37:14,292 - pyskl - INFO - +top1_acc 0.8613 +top5_acc 0.9882 +2025-07-02 02:37:14,296 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_16.pth was removed +2025-07-02 02:37:14,408 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 02:37:14,409 - pyskl - INFO - Best top1_acc is 0.8613 at 18 epoch. +2025-07-02 02:37:14,410 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8613, top5_acc: 0.9882 +2025-07-02 02:37:50,540 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:53:21, time: 0.361, data_time: 0.212, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.5814, loss: 0.5814 +2025-07-02 02:38:05,518 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:52:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 0.6988, loss: 0.6988 +2025-07-02 02:38:20,552 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:52:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9888, loss_cls: 0.6296, loss: 0.6296 +2025-07-02 02:38:35,785 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:52:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 0.6628, loss: 0.6628 +2025-07-02 02:38:50,720 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:51:51, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 0.6635, loss: 0.6635 +2025-07-02 02:39:05,638 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:51:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9812, loss_cls: 0.6401, loss: 0.6401 +2025-07-02 02:39:20,587 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:51:05, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 0.6986, loss: 0.6986 +2025-07-02 02:39:35,579 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:50:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 0.6598, loss: 0.6598 +2025-07-02 02:39:50,646 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:50:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 0.6611, loss: 0.6611 +2025-07-02 02:40:05,824 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:49:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9869, loss_cls: 0.6821, loss: 0.6821 +2025-07-02 02:40:20,935 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:49:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9869, loss_cls: 0.7164, loss: 0.7164 +2025-07-02 02:40:33,243 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 02:40:56,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:40:56,305 - pyskl - INFO - +top1_acc 0.8550 +top5_acc 0.9889 +2025-07-02 02:40:56,306 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8550, top5_acc: 0.9889 +2025-07-02 02:41:32,868 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:50:06, time: 0.366, data_time: 0.213, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9925, loss_cls: 0.5872, loss: 0.5872 +2025-07-02 02:41:48,321 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:49:46, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5676, loss: 0.5676 +2025-07-02 02:42:03,428 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:49:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9806, loss_cls: 0.6473, loss: 0.6473 +2025-07-02 02:42:18,539 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:49:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6609, loss: 0.6609 +2025-07-02 02:42:33,708 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:48:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.6733, loss: 0.6733 +2025-07-02 02:42:48,875 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:48:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 0.6583, loss: 0.6583 +2025-07-02 02:43:04,004 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:47:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 0.6249, loss: 0.6249 +2025-07-02 02:43:19,197 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:47:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 0.6148, loss: 0.6148 +2025-07-02 02:43:34,332 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:47:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5615, loss: 0.5615 +2025-07-02 02:43:49,544 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:46:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 0.6963, loss: 0.6963 +2025-07-02 02:44:04,793 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:46:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9875, loss_cls: 0.6338, loss: 0.6338 +2025-07-02 02:44:17,181 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 02:44:40,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:44:40,110 - pyskl - INFO - +top1_acc 0.8791 +top5_acc 0.9856 +2025-07-02 02:44:40,114 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_18.pth was removed +2025-07-02 02:44:40,226 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-02 02:44:40,227 - pyskl - INFO - Best top1_acc is 0.8791 at 20 epoch. +2025-07-02 02:44:40,228 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8791, top5_acc: 0.9856 +2025-07-02 02:45:16,674 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:47:00, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 0.6275, loss: 0.6275 +2025-07-02 02:45:31,646 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:46:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9831, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 02:45:46,553 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:46:15, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9906, loss_cls: 0.6310, loss: 0.6310 +2025-07-02 02:46:01,606 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:45:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9844, loss_cls: 0.6599, loss: 0.6599 +2025-07-02 02:46:16,770 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:45:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9769, loss_cls: 0.7150, loss: 0.7150 +2025-07-02 02:46:31,688 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:45:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9788, loss_cls: 0.6295, loss: 0.6295 +2025-07-02 02:46:46,644 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:44:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 0.6328, loss: 0.6328 +2025-07-02 02:47:01,706 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:44:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9781, loss_cls: 0.6750, loss: 0.6750 +2025-07-02 02:47:16,876 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:44:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 0.6325, loss: 0.6325 +2025-07-02 02:47:31,964 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:43:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 0.6567, loss: 0.6567 +2025-07-02 02:47:46,970 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:43:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9894, loss_cls: 0.6237, loss: 0.6237 +2025-07-02 02:47:59,203 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 02:48:22,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:48:22,310 - pyskl - INFO - +top1_acc 0.8469 +top5_acc 0.9941 +2025-07-02 02:48:22,310 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8469, top5_acc: 0.9941 +2025-07-02 02:48:58,406 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:43:43, time: 0.361, data_time: 0.212, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.5969, loss: 0.5969 +2025-07-02 02:49:13,512 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:43:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 0.6581, loss: 0.6581 +2025-07-02 02:49:28,519 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:43:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9894, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 02:49:43,626 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:42:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 0.6370, loss: 0.6370 +2025-07-02 02:49:58,723 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:42:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9838, loss_cls: 0.6048, loss: 0.6048 +2025-07-02 02:50:13,684 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:41:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9912, loss_cls: 0.6125, loss: 0.6125 +2025-07-02 02:50:28,767 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:41:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 0.5843, loss: 0.5843 +2025-07-02 02:50:43,825 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:41:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9800, loss_cls: 0.6336, loss: 0.6336 +2025-07-02 02:50:58,790 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:40:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6373, loss: 0.6373 +2025-07-02 02:51:13,782 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:40:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.6077, loss: 0.6077 +2025-07-02 02:51:28,760 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:40:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9856, loss_cls: 0.6359, loss: 0.6359 +2025-07-02 02:51:41,051 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 02:52:04,162 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:52:04,172 - pyskl - INFO - +top1_acc 0.8661 +top5_acc 0.9937 +2025-07-02 02:52:04,173 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8661, top5_acc: 0.9937 +2025-07-02 02:52:40,659 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:40:29, time: 0.365, data_time: 0.215, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 0.5498, loss: 0.5498 +2025-07-02 02:52:55,738 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:40:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 02:53:10,819 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:39:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5789, loss: 0.5789 +2025-07-02 02:53:25,816 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:39:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6016, loss: 0.6016 +2025-07-02 02:53:40,815 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:39:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 0.6374, loss: 0.6374 +2025-07-02 02:53:55,756 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:38:43, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 0.6325, loss: 0.6325 +2025-07-02 02:54:10,760 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:38:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 0.6261, loss: 0.6261 +2025-07-02 02:54:25,827 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:38:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 0.6405, loss: 0.6405 +2025-07-02 02:54:40,911 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:37:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 0.6244, loss: 0.6244 +2025-07-02 02:54:55,954 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:37:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6132, loss: 0.6132 +2025-07-02 02:55:11,023 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:36:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9812, loss_cls: 0.5910, loss: 0.5910 +2025-07-02 02:55:23,384 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 02:55:46,728 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:55:46,738 - pyskl - INFO - +top1_acc 0.8325 +top5_acc 0.9859 +2025-07-02 02:55:46,739 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8325, top5_acc: 0.9859 +2025-07-02 02:56:23,078 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:37:14, time: 0.363, data_time: 0.214, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.5459, loss: 0.5459 +2025-07-02 02:56:38,029 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:36:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6592, loss: 0.6592 +2025-07-02 02:56:53,027 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:36:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 0.5327, loss: 0.5327 +2025-07-02 02:57:08,092 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:36:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 0.5846, loss: 0.5846 +2025-07-02 02:57:23,175 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:35:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 0.6894, loss: 0.6894 +2025-07-02 02:57:38,244 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:35:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 0.6281, loss: 0.6281 +2025-07-02 02:57:53,669 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:35:12, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6357, loss: 0.6357 +2025-07-02 02:58:08,745 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:34:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9838, loss_cls: 0.6743, loss: 0.6743 +2025-07-02 02:58:23,841 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:34:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 0.5925, loss: 0.5925 +2025-07-02 02:58:38,912 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:34:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.5440, loss: 0.5440 +2025-07-02 02:58:54,034 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:33:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 0.6457, loss: 0.6457 +2025-07-02 02:59:06,319 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 02:59:29,161 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:59:29,171 - pyskl - INFO - +top1_acc 0.8473 +top5_acc 0.9896 +2025-07-02 02:59:29,171 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8473, top5_acc: 0.9896 +2025-07-02 03:00:05,516 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:34:04, time: 0.363, data_time: 0.214, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 0.5892, loss: 0.5892 +2025-07-02 03:00:20,550 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:33:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 0.5422, loss: 0.5422 +2025-07-02 03:00:35,584 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:33:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9800, loss_cls: 0.5842, loss: 0.5842 +2025-07-02 03:00:50,548 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:33:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.6173, loss: 0.6173 +2025-07-02 03:01:05,577 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:32:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5386, loss: 0.5386 +2025-07-02 03:01:20,566 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:32:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 0.6036, loss: 0.6036 +2025-07-02 03:01:35,573 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:32:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 0.6621, loss: 0.6621 +2025-07-02 03:01:50,543 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:31:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9800, loss_cls: 0.6489, loss: 0.6489 +2025-07-02 03:02:05,558 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:31:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9912, loss_cls: 0.5649, loss: 0.5649 +2025-07-02 03:02:20,538 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:30:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9856, loss_cls: 0.5531, loss: 0.5531 +2025-07-02 03:02:35,631 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:30:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.5814, loss: 0.5814 +2025-07-02 03:02:47,986 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 03:03:11,000 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:03:11,010 - pyskl - INFO - +top1_acc 0.8565 +top5_acc 0.9908 +2025-07-02 03:03:11,010 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8565, top5_acc: 0.9908 +2025-07-02 03:03:47,196 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:30:49, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.5598, loss: 0.5598 +2025-07-02 03:04:02,354 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:30:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5704, loss: 0.5704 +2025-07-02 03:04:17,363 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:30:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5412, loss: 0.5412 +2025-07-02 03:04:32,351 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:29:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5294, loss: 0.5294 +2025-07-02 03:04:47,269 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:29:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9925, loss_cls: 0.5102, loss: 0.5102 +2025-07-02 03:05:02,494 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:29:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9881, loss_cls: 0.6153, loss: 0.6153 +2025-07-02 03:05:17,860 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:28:49, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5580, loss: 0.5580 +2025-07-02 03:05:32,810 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:28:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.6011, loss: 0.6011 +2025-07-02 03:05:47,865 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:28:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 0.5818, loss: 0.5818 +2025-07-02 03:06:02,950 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:27:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6286, loss: 0.6286 +2025-07-02 03:06:17,984 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:27:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.6293, loss: 0.6293 +2025-07-02 03:06:30,270 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 03:06:53,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:06:53,361 - pyskl - INFO - +top1_acc 0.8658 +top5_acc 0.9852 +2025-07-02 03:06:53,362 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8658, top5_acc: 0.9852 +2025-07-02 03:07:29,830 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:27:39, time: 0.365, data_time: 0.215, memory: 3565, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4919, loss: 0.4919 +2025-07-02 03:07:44,997 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:27:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 0.5833, loss: 0.5833 +2025-07-02 03:08:00,158 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:27:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.5481, loss: 0.5481 +2025-07-02 03:08:15,353 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:26:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9838, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 03:08:30,521 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:26:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.6021, loss: 0.6021 +2025-07-02 03:08:45,708 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:26:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9906, loss_cls: 0.6105, loss: 0.6105 +2025-07-02 03:09:00,831 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:25:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.5850, loss: 0.5850 +2025-07-02 03:09:15,876 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:25:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9800, loss_cls: 0.6180, loss: 0.6180 +2025-07-02 03:09:30,789 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:25:01, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5426, loss: 0.5426 +2025-07-02 03:09:45,763 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:24:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.5806, loss: 0.5806 +2025-07-02 03:10:00,712 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:24:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 0.6199, loss: 0.6199 +2025-07-02 03:10:12,918 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 03:10:35,557 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:10:35,567 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9937 +2025-07-02 03:10:35,570 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_20.pth was removed +2025-07-02 03:10:35,683 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_27.pth. +2025-07-02 03:10:35,683 - pyskl - INFO - Best top1_acc is 0.8817 at 27 epoch. +2025-07-02 03:10:35,684 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8817, top5_acc: 0.9937 +2025-07-02 03:11:11,940 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:24:28, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5446, loss: 0.5446 +2025-07-02 03:11:26,973 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:24:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 0.5862, loss: 0.5862 +2025-07-02 03:11:42,003 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:23:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9844, loss_cls: 0.6200, loss: 0.6200 +2025-07-02 03:11:57,336 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:23:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 03:12:12,401 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:23:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.5655, loss: 0.5655 +2025-07-02 03:12:27,394 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:22:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9775, loss_cls: 0.6534, loss: 0.6534 +2025-07-02 03:12:42,430 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:22:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 0.5453, loss: 0.5453 +2025-07-02 03:12:57,448 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:22:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 03:13:12,444 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:21:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 0.6181, loss: 0.6181 +2025-07-02 03:13:27,385 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:21:30, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 03:13:42,447 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:21:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.5043, loss: 0.5043 +2025-07-02 03:13:54,657 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 03:14:17,513 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:14:17,524 - pyskl - INFO - +top1_acc 0.8473 +top5_acc 0.9808 +2025-07-02 03:14:17,524 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8473, top5_acc: 0.9808 +2025-07-02 03:14:53,506 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:21:16, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 0.5437, loss: 0.5437 +2025-07-02 03:15:08,878 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:20:57, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4994, loss: 0.4994 +2025-07-02 03:15:24,163 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:20:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.5039, loss: 0.5039 +2025-07-02 03:15:39,359 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:20:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9844, loss_cls: 0.5419, loss: 0.5419 +2025-07-02 03:15:54,380 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:20:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5324, loss: 0.5324 +2025-07-02 03:16:09,386 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:19:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9825, loss_cls: 0.5865, loss: 0.5865 +2025-07-02 03:16:24,562 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:19:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 0.5970, loss: 0.5970 +2025-07-02 03:16:39,492 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:19:01, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5693, loss: 0.5693 +2025-07-02 03:16:54,429 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:18:41, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 0.5686, loss: 0.5686 +2025-07-02 03:17:09,297 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:18:20, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 0.5913, loss: 0.5913 +2025-07-02 03:17:24,317 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:18:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5437, loss: 0.5437 +2025-07-02 03:17:36,663 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 03:17:59,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:17:59,720 - pyskl - INFO - +top1_acc 0.8839 +top5_acc 0.9922 +2025-07-02 03:17:59,723 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_27.pth was removed +2025-07-02 03:17:59,830 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-07-02 03:17:59,830 - pyskl - INFO - Best top1_acc is 0.8839 at 29 epoch. +2025-07-02 03:17:59,831 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8839, top5_acc: 0.9922 +2025-07-02 03:18:36,577 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:18:08, time: 0.367, data_time: 0.211, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5584, loss: 0.5584 +2025-07-02 03:18:52,546 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:17:52, time: 0.160, data_time: 0.000, memory: 3565, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4936, loss: 0.4936 +2025-07-02 03:19:08,645 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:17:37, time: 0.161, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 03:19:24,271 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:17:19, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.5040, loss: 0.5040 +2025-07-02 03:19:39,868 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:17:02, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5475, loss: 0.5475 +2025-07-02 03:19:55,396 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:16:44, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 03:20:10,941 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:16:27, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 0.6334, loss: 0.6334 +2025-07-02 03:20:26,686 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:16:10, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.5503, loss: 0.5503 +2025-07-02 03:20:42,451 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:15:54, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 0.5515, loss: 0.5515 +2025-07-02 03:20:58,079 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:15:37, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5610, loss: 0.5610 +2025-07-02 03:21:13,765 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:15:20, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 0.5559, loss: 0.5559 +2025-07-02 03:21:26,545 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 03:21:49,271 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:21:49,281 - pyskl - INFO - +top1_acc 0.8987 +top5_acc 0.9908 +2025-07-02 03:21:49,284 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_29.pth was removed +2025-07-02 03:21:49,395 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-02 03:21:49,396 - pyskl - INFO - Best top1_acc is 0.8987 at 30 epoch. +2025-07-02 03:21:49,397 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8987, top5_acc: 0.9908 +2025-07-02 03:22:26,203 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:15:25, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5879, loss: 0.5879 +2025-07-02 03:22:41,819 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:15:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5574, loss: 0.5574 +2025-07-02 03:22:57,470 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:14:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4916, loss: 0.4916 +2025-07-02 03:23:13,117 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:14:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.5673, loss: 0.5673 +2025-07-02 03:23:28,786 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:14:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9900, loss_cls: 0.6597, loss: 0.6597 +2025-07-02 03:23:44,499 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:14:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9831, loss_cls: 0.6093, loss: 0.6093 +2025-07-02 03:24:00,088 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:13:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.6277, loss: 0.6277 +2025-07-02 03:24:15,643 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:13:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.6039, loss: 0.6039 +2025-07-02 03:24:31,169 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:13:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5747, loss: 0.5747 +2025-07-02 03:24:46,721 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:12:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 0.6344, loss: 0.6344 +2025-07-02 03:25:02,393 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:12:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5461, loss: 0.5461 +2025-07-02 03:25:15,146 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 03:25:38,129 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:25:38,139 - pyskl - INFO - +top1_acc 0.8791 +top5_acc 0.9641 +2025-07-02 03:25:38,140 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8791, top5_acc: 0.9641 +2025-07-02 03:26:15,294 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:12:38, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.6144, loss: 0.6144 +2025-07-02 03:26:30,869 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:12:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5629, loss: 0.5629 +2025-07-02 03:26:46,481 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:12:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9894, loss_cls: 0.6251, loss: 0.6251 +2025-07-02 03:27:02,008 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:11:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5768, loss: 0.5768 +2025-07-02 03:27:17,519 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:11:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 0.6324, loss: 0.6324 +2025-07-02 03:27:33,011 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:11:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9925, loss_cls: 0.5776, loss: 0.5776 +2025-07-02 03:27:48,522 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:10:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5978, loss: 0.5978 +2025-07-02 03:28:04,122 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:10:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5565, loss: 0.5565 +2025-07-02 03:28:19,708 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:10:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.6095, loss: 0.6095 +2025-07-02 03:28:35,293 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:10:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9831, loss_cls: 0.6047, loss: 0.6047 +2025-07-02 03:28:50,849 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:09:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9900, loss_cls: 0.6132, loss: 0.6132 +2025-07-02 03:29:03,536 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 03:29:26,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:29:26,361 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9922 +2025-07-02 03:29:26,361 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.8768, top5_acc: 0.9922 +2025-07-02 03:30:03,337 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:09:47, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5295, loss: 0.5295 +2025-07-02 03:30:19,046 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:09:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9925, loss_cls: 0.5231, loss: 0.5231 +2025-07-02 03:30:34,672 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:09:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 0.5939, loss: 0.5939 +2025-07-02 03:30:50,390 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:08:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5655, loss: 0.5655 +2025-07-02 03:31:06,226 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:08:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5465, loss: 0.5465 +2025-07-02 03:31:21,901 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:08:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5571, loss: 0.5571 +2025-07-02 03:31:37,502 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:08:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.6248, loss: 0.6248 +2025-07-02 03:31:53,055 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:07:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 0.6106, loss: 0.6106 +2025-07-02 03:32:08,535 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:07:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.5968, loss: 0.5968 +2025-07-02 03:32:24,010 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:07:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5504, loss: 0.5504 +2025-07-02 03:32:39,460 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:06:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5169, loss: 0.5169 +2025-07-02 03:32:52,063 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 03:33:15,357 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:33:15,367 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9930 +2025-07-02 03:33:15,368 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8794, top5_acc: 0.9930 +2025-07-02 03:33:52,242 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:06:56, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5280, loss: 0.5280 +2025-07-02 03:34:07,799 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:06:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5633, loss: 0.5633 +2025-07-02 03:34:23,388 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:06:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5086, loss: 0.5086 +2025-07-02 03:34:39,083 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:06:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9919, loss_cls: 0.5545, loss: 0.5545 +2025-07-02 03:34:54,768 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:05:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 0.5942, loss: 0.5942 +2025-07-02 03:35:10,427 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:05:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.5018, loss: 0.5018 +2025-07-02 03:35:26,128 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:05:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 0.6218, loss: 0.6218 +2025-07-02 03:35:41,821 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:04:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5864, loss: 0.5864 +2025-07-02 03:35:57,436 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:04:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5588, loss: 0.5588 +2025-07-02 03:36:13,030 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:04:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 0.5343, loss: 0.5343 +2025-07-02 03:36:28,748 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:04:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 0.6134, loss: 0.6134 +2025-07-02 03:36:41,597 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 03:37:04,403 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:37:04,420 - pyskl - INFO - +top1_acc 0.9061 +top5_acc 0.9941 +2025-07-02 03:37:04,424 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_30.pth was removed +2025-07-02 03:37:04,536 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. +2025-07-02 03:37:04,537 - pyskl - INFO - Best top1_acc is 0.9061 at 34 epoch. +2025-07-02 03:37:04,538 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.9061, top5_acc: 0.9941 +2025-07-02 03:37:41,461 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:04:05, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 03:37:57,045 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:03:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 03:38:12,689 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:03:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5801, loss: 0.5801 +2025-07-02 03:38:28,255 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:03:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.5462, loss: 0.5462 +2025-07-02 03:38:43,789 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:02:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 03:38:59,454 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:02:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 0.5856, loss: 0.5856 +2025-07-02 03:39:14,943 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:02:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5627, loss: 0.5627 +2025-07-02 03:39:30,445 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:02:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5486, loss: 0.5486 +2025-07-02 03:39:45,919 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:01:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 0.4865, loss: 0.4865 +2025-07-02 03:40:01,374 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:01:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.5685, loss: 0.5685 +2025-07-02 03:40:16,855 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:01:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.5165, loss: 0.5165 +2025-07-02 03:40:29,498 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 03:40:52,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:40:52,447 - pyskl - INFO - +top1_acc 0.8724 +top5_acc 0.9930 +2025-07-02 03:40:52,447 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8724, top5_acc: 0.9930 +2025-07-02 03:41:29,583 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:01:10, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.5191, loss: 0.5191 +2025-07-02 03:41:45,139 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:00:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 03:42:00,701 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:00:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.5321, loss: 0.5321 +2025-07-02 03:42:16,170 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:00:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 03:42:31,657 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 5:59:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8688, top5_acc: 0.9912, loss_cls: 0.6204, loss: 0.6204 +2025-07-02 03:42:47,130 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 5:59:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 0.6071, loss: 0.6071 +2025-07-02 03:43:02,648 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:59:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.5214, loss: 0.5214 +2025-07-02 03:43:18,193 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:59:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9856, loss_cls: 0.5212, loss: 0.5212 +2025-07-02 03:43:33,742 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:58:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5681, loss: 0.5681 +2025-07-02 03:43:49,269 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:58:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5596, loss: 0.5596 +2025-07-02 03:44:04,799 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:58:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 0.5409, loss: 0.5409 +2025-07-02 03:44:17,509 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 03:44:40,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:44:40,602 - pyskl - INFO - +top1_acc 0.8780 +top5_acc 0.9867 +2025-07-02 03:44:40,603 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.8780, top5_acc: 0.9867 +2025-07-02 03:45:17,880 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:58:13, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5684, loss: 0.5684 +2025-07-02 03:45:33,543 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:57:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 03:45:49,256 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:57:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.5038, loss: 0.5038 +2025-07-02 03:46:04,937 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:57:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 0.5299, loss: 0.5299 +2025-07-02 03:46:20,413 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:57:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4933, loss: 0.4933 +2025-07-02 03:46:35,851 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:56:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5252, loss: 0.5252 +2025-07-02 03:46:51,304 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:56:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5614, loss: 0.5614 +2025-07-02 03:47:06,812 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:56:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 03:47:22,252 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:55:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5741, loss: 0.5741 +2025-07-02 03:47:37,747 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:55:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 0.5355, loss: 0.5355 +2025-07-02 03:47:53,358 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:55:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.4891, loss: 0.4891 +2025-07-02 03:48:05,891 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 03:48:28,849 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:48:28,859 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9919 +2025-07-02 03:48:28,859 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8976, top5_acc: 0.9919 +2025-07-02 03:49:06,369 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:55:18, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5266, loss: 0.5266 +2025-07-02 03:49:22,144 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:55:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4904, loss: 0.4904 +2025-07-02 03:49:37,817 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:54:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3977, loss: 0.3977 +2025-07-02 03:49:53,342 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:54:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5060, loss: 0.5060 +2025-07-02 03:50:08,894 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:54:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5131, loss: 0.5131 +2025-07-02 03:50:24,450 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:53:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5630, loss: 0.5630 +2025-07-02 03:50:40,006 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:53:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5529, loss: 0.5529 +2025-07-02 03:50:55,617 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:53:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5734, loss: 0.5734 +2025-07-02 03:51:11,125 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:52:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 03:51:26,678 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:52:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 03:51:42,254 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:52:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5617, loss: 0.5617 +2025-07-02 03:51:54,898 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 03:52:17,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:52:17,901 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9911 +2025-07-02 03:52:17,901 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8706, top5_acc: 0.9911 +2025-07-02 03:52:54,760 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:52:21, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5168, loss: 0.5168 +2025-07-02 03:53:10,294 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:52:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4742, loss: 0.4742 +2025-07-02 03:53:25,834 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:51:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4702, loss: 0.4702 +2025-07-02 03:53:41,369 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:51:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5150, loss: 0.5150 +2025-07-02 03:53:56,915 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:51:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4320, loss: 0.4320 +2025-07-02 03:54:12,466 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:50:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 0.5561, loss: 0.5561 +2025-07-02 03:54:27,901 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:50:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9925, loss_cls: 0.5645, loss: 0.5645 +2025-07-02 03:54:43,345 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:50:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 0.5578, loss: 0.5578 +2025-07-02 03:54:58,779 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:50:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.5193, loss: 0.5193 +2025-07-02 03:55:14,242 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:49:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.5314, loss: 0.5314 +2025-07-02 03:55:29,731 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:49:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5800, loss: 0.5800 +2025-07-02 03:55:42,406 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 03:56:05,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:56:05,611 - pyskl - INFO - +top1_acc 0.8861 +top5_acc 0.9933 +2025-07-02 03:56:05,612 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8861, top5_acc: 0.9933 +2025-07-02 03:56:42,668 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:49:21, time: 0.371, data_time: 0.209, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.5147, loss: 0.5147 +2025-07-02 03:56:58,258 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:49:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4953, loss: 0.4953 +2025-07-02 03:57:13,898 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:48:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4569, loss: 0.4569 +2025-07-02 03:57:29,623 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:48:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5365, loss: 0.5365 +2025-07-02 03:57:45,189 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:48:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4752, loss: 0.4752 +2025-07-02 03:58:00,879 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:47:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 03:58:16,490 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:47:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5775, loss: 0.5775 +2025-07-02 03:58:31,974 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:47:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 0.5092, loss: 0.5092 +2025-07-02 03:58:47,459 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:47:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4684, loss: 0.4684 +2025-07-02 03:59:03,008 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:46:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 0.5602, loss: 0.5602 +2025-07-02 03:59:18,611 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5677, loss: 0.5677 +2025-07-02 03:59:31,315 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 03:59:54,494 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:59:54,504 - pyskl - INFO - +top1_acc 0.8994 +top5_acc 0.9937 +2025-07-02 03:59:54,504 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8994, top5_acc: 0.9937 +2025-07-02 04:00:31,281 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:46:22, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.5366, loss: 0.5366 +2025-07-02 04:00:47,038 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:46:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9912, loss_cls: 0.5519, loss: 0.5519 +2025-07-02 04:01:02,666 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:45:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4873, loss: 0.4873 +2025-07-02 04:01:18,244 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:45:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.4949, loss: 0.4949 +2025-07-02 04:01:33,824 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:45:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4735, loss: 0.4735 +2025-07-02 04:01:49,404 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:44:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 0.4718, loss: 0.4718 +2025-07-02 04:02:04,940 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:44:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.5152, loss: 0.5152 +2025-07-02 04:02:20,833 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:44:22, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.5939, loss: 0.5939 +2025-07-02 04:02:36,372 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:44:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.4603, loss: 0.4603 +2025-07-02 04:02:51,871 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:43:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9944, loss_cls: 0.5438, loss: 0.5438 +2025-07-02 04:03:07,443 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:43:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5261, loss: 0.5261 +2025-07-02 04:03:20,156 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 04:03:43,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:03:43,020 - pyskl - INFO - +top1_acc 0.9079 +top5_acc 0.9933 +2025-07-02 04:03:43,023 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_34.pth was removed +2025-07-02 04:03:43,131 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-02 04:03:43,131 - pyskl - INFO - Best top1_acc is 0.9079 at 41 epoch. +2025-07-02 04:03:43,132 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.9079, top5_acc: 0.9933 +2025-07-02 04:04:20,410 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:43:24, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4611, loss: 0.4611 +2025-07-02 04:04:36,042 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:43:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.5066, loss: 0.5066 +2025-07-02 04:04:51,763 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:42:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.5037, loss: 0.5037 +2025-07-02 04:05:07,383 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:42:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5192, loss: 0.5192 +2025-07-02 04:05:23,033 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:42:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 04:05:38,574 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:41:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.4985, loss: 0.4985 +2025-07-02 04:05:54,192 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:41:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4966, loss: 0.4966 +2025-07-02 04:06:09,825 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:41:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5420, loss: 0.5420 +2025-07-02 04:06:25,429 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:41:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 04:06:41,001 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:40:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5500, loss: 0.5500 +2025-07-02 04:06:56,659 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:40:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 04:07:09,382 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 04:07:32,405 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:07:32,415 - pyskl - INFO - +top1_acc 0.9020 +top5_acc 0.9922 +2025-07-02 04:07:32,416 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9020, top5_acc: 0.9922 +2025-07-02 04:08:09,698 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:40:26, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4936, loss: 0.4936 +2025-07-02 04:08:25,255 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:40:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 04:08:40,752 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:39:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4841, loss: 0.4841 +2025-07-02 04:08:56,197 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:39:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5314, loss: 0.5314 +2025-07-02 04:09:11,616 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:39:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4760, loss: 0.4760 +2025-07-02 04:09:27,135 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:38:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4717, loss: 0.4717 +2025-07-02 04:09:42,611 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:38:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4491, loss: 0.4491 +2025-07-02 04:09:58,086 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:38:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 04:10:13,545 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:38:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5257, loss: 0.5257 +2025-07-02 04:10:29,067 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:37:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5074, loss: 0.5074 +2025-07-02 04:10:44,624 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:37:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4594, loss: 0.4594 +2025-07-02 04:10:57,325 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 04:11:20,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:11:20,213 - pyskl - INFO - +top1_acc 0.8953 +top5_acc 0.9922 +2025-07-02 04:11:20,214 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8953, top5_acc: 0.9922 +2025-07-02 04:11:57,628 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:37:24, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4772, loss: 0.4772 +2025-07-02 04:12:13,343 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:37:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4972, loss: 0.4972 +2025-07-02 04:12:28,954 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:36:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.4550, loss: 0.4550 +2025-07-02 04:12:44,506 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:36:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 04:13:00,023 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:36:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9931, loss_cls: 0.4852, loss: 0.4852 +2025-07-02 04:13:15,532 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:35:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4679, loss: 0.4679 +2025-07-02 04:13:31,075 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:35:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.5273, loss: 0.5273 +2025-07-02 04:13:46,668 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:35:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5621, loss: 0.5621 +2025-07-02 04:14:02,234 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:35:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4729, loss: 0.4729 +2025-07-02 04:14:17,783 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:34:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4784, loss: 0.4784 +2025-07-02 04:14:33,454 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:34:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 0.5509, loss: 0.5509 +2025-07-02 04:14:46,106 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 04:15:09,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:15:09,149 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9948 +2025-07-02 04:15:09,153 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_41.pth was removed +2025-07-02 04:15:09,266 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. +2025-07-02 04:15:09,267 - pyskl - INFO - Best top1_acc is 0.9168 at 44 epoch. +2025-07-02 04:15:09,267 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9168, top5_acc: 0.9948 +2025-07-02 04:15:46,755 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:34:25, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 04:16:02,466 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:34:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.4828, loss: 0.4828 +2025-07-02 04:16:18,061 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:33:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 04:16:33,640 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:33:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5066, loss: 0.5066 +2025-07-02 04:16:49,215 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:33:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.4966, loss: 0.4966 +2025-07-02 04:17:04,865 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:32:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.5008, loss: 0.5008 +2025-07-02 04:17:20,495 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:32:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 0.5360, loss: 0.5360 +2025-07-02 04:17:36,264 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:32:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.5117, loss: 0.5117 +2025-07-02 04:17:51,793 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:32:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5029, loss: 0.5029 +2025-07-02 04:18:07,389 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:31:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4602, loss: 0.4602 +2025-07-02 04:18:23,010 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:31:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5316, loss: 0.5316 +2025-07-02 04:18:35,783 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 04:18:58,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:18:58,721 - pyskl - INFO - +top1_acc 0.8842 +top5_acc 0.9889 +2025-07-02 04:18:58,722 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8842, top5_acc: 0.9889 +2025-07-02 04:19:36,002 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:31:25, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.4961, loss: 0.4961 +2025-07-02 04:19:51,756 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:31:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4703, loss: 0.4703 +2025-07-02 04:20:07,290 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:30:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4378, loss: 0.4378 +2025-07-02 04:20:22,814 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:30:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5298, loss: 0.5298 +2025-07-02 04:20:38,354 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:30:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3912, loss: 0.3912 +2025-07-02 04:20:54,116 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:29:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4770, loss: 0.4770 +2025-07-02 04:21:09,809 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:29:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 0.4810, loss: 0.4810 +2025-07-02 04:21:25,426 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:29:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4658, loss: 0.4658 +2025-07-02 04:21:40,892 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:29:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.4730, loss: 0.4730 +2025-07-02 04:21:56,487 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:28:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9875, loss_cls: 0.5252, loss: 0.5252 +2025-07-02 04:22:12,087 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:28:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4723, loss: 0.4723 +2025-07-02 04:22:24,791 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 04:22:47,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:22:47,648 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9878 +2025-07-02 04:22:47,648 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9124, top5_acc: 0.9878 +2025-07-02 04:23:24,903 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:28:24, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 04:23:40,486 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:28:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.5187, loss: 0.5187 +2025-07-02 04:23:56,348 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:27:50, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.4944, loss: 0.4944 +2025-07-02 04:24:11,905 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:27:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.5218, loss: 0.5218 +2025-07-02 04:24:27,467 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:27:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4393, loss: 0.4393 +2025-07-02 04:24:43,034 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:26:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 04:24:58,675 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:26:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 04:25:14,427 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:26:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.4605, loss: 0.4605 +2025-07-02 04:25:30,091 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:26:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 04:25:45,808 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:25:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4883, loss: 0.4883 +2025-07-02 04:26:01,408 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:25:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4761, loss: 0.4761 +2025-07-02 04:26:14,110 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 04:26:37,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:26:37,098 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9856 +2025-07-02 04:26:37,098 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.8990, top5_acc: 0.9856 +2025-07-02 04:27:14,129 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:25:23, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4657, loss: 0.4657 +2025-07-02 04:27:29,854 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:25:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4489, loss: 0.4489 +2025-07-02 04:27:45,734 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:24:49, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4487, loss: 0.4487 +2025-07-02 04:28:01,354 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:24:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9925, loss_cls: 0.5324, loss: 0.5324 +2025-07-02 04:28:16,925 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:24:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 04:28:32,606 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:23:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4756, loss: 0.4756 +2025-07-02 04:28:48,168 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:23:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4369, loss: 0.4369 +2025-07-02 04:29:03,726 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:23:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4641, loss: 0.4641 +2025-07-02 04:29:19,374 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:23:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4549, loss: 0.4549 +2025-07-02 04:29:34,945 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:22:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 0.4910, loss: 0.4910 +2025-07-02 04:29:50,494 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:22:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5546, loss: 0.5546 +2025-07-02 04:30:03,225 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 04:30:26,040 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:30:26,050 - pyskl - INFO - +top1_acc 0.9142 +top5_acc 0.9948 +2025-07-02 04:30:26,051 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.9142, top5_acc: 0.9948 +2025-07-02 04:31:03,371 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:22:21, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4534, loss: 0.4534 +2025-07-02 04:31:18,875 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:22:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4771, loss: 0.4771 +2025-07-02 04:31:34,567 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:21:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 04:31:50,134 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:21:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4326, loss: 0.4326 +2025-07-02 04:32:05,598 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:21:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.4404, loss: 0.4404 +2025-07-02 04:32:21,070 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:20:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 0.4999, loss: 0.4999 +2025-07-02 04:32:36,592 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:20:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5114, loss: 0.5114 +2025-07-02 04:32:52,205 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:20:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5340, loss: 0.5340 +2025-07-02 04:33:08,005 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:20:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4265, loss: 0.4265 +2025-07-02 04:33:23,758 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:19:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4554, loss: 0.4554 +2025-07-02 04:33:39,364 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:19:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4183, loss: 0.4183 +2025-07-02 04:33:52,085 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 04:34:14,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:34:14,901 - pyskl - INFO - +top1_acc 0.9323 +top5_acc 0.9945 +2025-07-02 04:34:14,905 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_44.pth was removed +2025-07-02 04:34:15,012 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. +2025-07-02 04:34:15,013 - pyskl - INFO - Best top1_acc is 0.9323 at 49 epoch. +2025-07-02 04:34:15,014 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9323, top5_acc: 0.9945 +2025-07-02 04:34:52,327 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:19:19, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4302, loss: 0.4302 +2025-07-02 04:35:08,086 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:19:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4598, loss: 0.4598 +2025-07-02 04:35:23,676 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:18:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9975, loss_cls: 0.4171, loss: 0.4171 +2025-07-02 04:35:39,157 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:18:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9869, loss_cls: 0.4378, loss: 0.4378 +2025-07-02 04:35:54,722 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:18:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 04:36:10,256 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:17:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4216, loss: 0.4216 +2025-07-02 04:36:25,744 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:17:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4725, loss: 0.4725 +2025-07-02 04:36:41,196 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:17:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4340, loss: 0.4340 +2025-07-02 04:36:56,691 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:17:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4559, loss: 0.4559 +2025-07-02 04:37:12,309 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:16:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4807, loss: 0.4807 +2025-07-02 04:37:27,858 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:16:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5020, loss: 0.5020 +2025-07-02 04:37:40,655 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 04:38:03,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:38:03,633 - pyskl - INFO - +top1_acc 0.8791 +top5_acc 0.9908 +2025-07-02 04:38:03,634 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8791, top5_acc: 0.9908 +2025-07-02 04:38:40,591 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:16:14, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 04:38:56,411 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:15:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4490, loss: 0.4490 +2025-07-02 04:39:12,096 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:15:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4442, loss: 0.4442 +2025-07-02 04:39:27,759 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:15:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4648, loss: 0.4648 +2025-07-02 04:39:43,415 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:15:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4404, loss: 0.4404 +2025-07-02 04:39:59,031 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:14:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4542, loss: 0.4542 +2025-07-02 04:40:14,611 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:14:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4606, loss: 0.4606 +2025-07-02 04:40:30,209 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:14:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4574, loss: 0.4574 +2025-07-02 04:40:45,800 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:13:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4434, loss: 0.4434 +2025-07-02 04:41:01,395 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:13:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9881, loss_cls: 0.4771, loss: 0.4771 +2025-07-02 04:41:16,955 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:13:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 0.4382, loss: 0.4382 +2025-07-02 04:41:29,625 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 04:41:52,451 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:41:52,462 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9911 +2025-07-02 04:41:52,462 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9009, top5_acc: 0.9911 +2025-07-02 04:42:29,210 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:13:10, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4210, loss: 0.4210 +2025-07-02 04:42:44,723 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:12:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3801, loss: 0.3801 +2025-07-02 04:43:00,233 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:12:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5006, loss: 0.5006 +2025-07-02 04:43:15,756 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:12:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4847, loss: 0.4847 +2025-07-02 04:43:31,265 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:12:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4569, loss: 0.4569 +2025-07-02 04:43:46,790 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:11:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4656, loss: 0.4656 +2025-07-02 04:44:02,340 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:11:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4707, loss: 0.4707 +2025-07-02 04:44:17,948 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:11:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 0.4723, loss: 0.4723 +2025-07-02 04:44:33,472 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:10:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4689, loss: 0.4689 +2025-07-02 04:44:49,060 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:10:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 0.4323, loss: 0.4323 +2025-07-02 04:45:04,646 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:10:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4761, loss: 0.4761 +2025-07-02 04:45:17,416 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 04:45:40,513 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:45:40,523 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9952 +2025-07-02 04:45:40,523 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9149, top5_acc: 0.9952 +2025-07-02 04:46:17,462 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:10:05, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4362, loss: 0.4362 +2025-07-02 04:46:33,032 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:09:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 04:46:48,637 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:09:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4283, loss: 0.4283 +2025-07-02 04:47:04,202 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:09:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 0.4410, loss: 0.4410 +2025-07-02 04:47:19,728 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:08:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4663, loss: 0.4663 +2025-07-02 04:47:35,345 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:08:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4684, loss: 0.4684 +2025-07-02 04:47:50,902 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:08:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 04:48:06,500 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:08:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4793, loss: 0.4793 +2025-07-02 04:48:22,148 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:07:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 04:48:37,819 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:07:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4486, loss: 0.4486 +2025-07-02 04:48:53,360 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:07:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4255, loss: 0.4255 +2025-07-02 04:49:06,011 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 04:49:29,117 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:49:29,127 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9937 +2025-07-02 04:49:29,128 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9075, top5_acc: 0.9937 +2025-07-02 04:50:06,579 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:07:01, time: 0.374, data_time: 0.211, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.4071, loss: 0.4071 +2025-07-02 04:50:22,298 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:06:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9875, loss_cls: 0.4831, loss: 0.4831 +2025-07-02 04:50:37,946 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:06:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4754, loss: 0.4754 +2025-07-02 04:50:53,561 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:06:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 04:51:09,063 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:05:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9900, loss_cls: 0.3825, loss: 0.3825 +2025-07-02 04:51:24,527 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:05:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4335, loss: 0.4335 +2025-07-02 04:51:40,071 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:05:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.4757, loss: 0.4757 +2025-07-02 04:51:55,618 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:05:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4922, loss: 0.4922 +2025-07-02 04:52:11,243 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:04:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4688, loss: 0.4688 +2025-07-02 04:52:26,845 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:04:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.4063, loss: 0.4063 +2025-07-02 04:52:42,480 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:04:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9938, loss_cls: 0.5264, loss: 0.5264 +2025-07-02 04:52:55,190 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 04:53:18,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:53:18,173 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9941 +2025-07-02 04:53:18,173 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8972, top5_acc: 0.9941 +2025-07-02 04:53:55,061 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:03:56, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.3255, loss: 0.3255 +2025-07-02 04:54:10,598 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:03:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9956, loss_cls: 0.4117, loss: 0.4117 +2025-07-02 04:54:26,158 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:03:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4486, loss: 0.4486 +2025-07-02 04:54:41,687 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:03:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4746, loss: 0.4746 +2025-07-02 04:54:57,158 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:02:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4380, loss: 0.4380 +2025-07-02 04:55:12,657 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:02:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4474, loss: 0.4474 +2025-07-02 04:55:28,156 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:02:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3942, loss: 0.3942 +2025-07-02 04:55:43,790 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:01:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4708, loss: 0.4708 +2025-07-02 04:55:59,429 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:01:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4627, loss: 0.4627 +2025-07-02 04:56:15,068 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:01:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4708, loss: 0.4708 +2025-07-02 04:56:30,914 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:01:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.4504, loss: 0.4504 +2025-07-02 04:56:43,643 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 04:57:06,684 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:57:06,695 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9959 +2025-07-02 04:57:06,695 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.9268, top5_acc: 0.9959 +2025-07-02 04:57:43,635 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:00:50, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3591, loss: 0.3591 +2025-07-02 04:57:59,326 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:00:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4352, loss: 0.4352 +2025-07-02 04:58:15,044 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:00:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9875, loss_cls: 0.4660, loss: 0.4660 +2025-07-02 04:58:30,676 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 4:59:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4318, loss: 0.4318 +2025-07-02 04:58:46,332 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 4:59:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4179, loss: 0.4179 +2025-07-02 04:59:01,970 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:59:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.4223, loss: 0.4223 +2025-07-02 04:59:17,550 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:59:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4543, loss: 0.4543 +2025-07-02 04:59:33,141 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:58:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 0.4094, loss: 0.4094 +2025-07-02 04:59:48,733 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:58:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9919, loss_cls: 0.3871, loss: 0.3871 +2025-07-02 05:00:04,420 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:58:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4398, loss: 0.4398 +2025-07-02 05:00:20,314 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:58:01, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 05:00:33,001 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 05:00:55,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:00:55,900 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9937 +2025-07-02 05:00:55,901 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9042, top5_acc: 0.9937 +2025-07-02 05:01:32,919 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:57:46, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3656, loss: 0.3656 +2025-07-02 05:01:48,573 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:57:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3877, loss: 0.3877 +2025-07-02 05:02:04,363 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:57:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 05:02:20,102 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:56:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4781, loss: 0.4781 +2025-07-02 05:02:35,704 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:56:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4549, loss: 0.4549 +2025-07-02 05:02:51,262 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:56:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4542, loss: 0.4542 +2025-07-02 05:03:06,880 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:56:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4579, loss: 0.4579 +2025-07-02 05:03:22,498 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:55:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4462, loss: 0.4462 +2025-07-02 05:03:38,078 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:55:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.3926, loss: 0.3926 +2025-07-02 05:03:53,662 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:55:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4378, loss: 0.4378 +2025-07-02 05:04:09,270 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:54:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4645, loss: 0.4645 +2025-07-02 05:04:22,029 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 05:04:45,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:04:45,335 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9956 +2025-07-02 05:04:45,335 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.9172, top5_acc: 0.9956 +2025-07-02 05:05:22,673 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:54:41, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3736, loss: 0.3736 +2025-07-02 05:05:38,308 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:54:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9850, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 05:05:53,794 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:54:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4321, loss: 0.4321 +2025-07-02 05:06:09,269 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:53:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.4035, loss: 0.4035 +2025-07-02 05:06:24,773 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:53:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 05:06:40,351 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:53:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4001, loss: 0.4001 +2025-07-02 05:06:55,960 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:52:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 0.4192, loss: 0.4192 +2025-07-02 05:07:11,465 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:52:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4389, loss: 0.4389 +2025-07-02 05:07:26,857 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:52:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4451, loss: 0.4451 +2025-07-02 05:07:42,368 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:52:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4456, loss: 0.4456 +2025-07-02 05:07:57,981 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:51:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4475, loss: 0.4475 +2025-07-02 05:08:10,730 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 05:08:33,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:08:33,773 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9922 +2025-07-02 05:08:33,773 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9109, top5_acc: 0.9922 +2025-07-02 05:09:10,841 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:51:34, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3942, loss: 0.3942 +2025-07-02 05:09:26,582 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:51:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 0.4072, loss: 0.4072 +2025-07-02 05:09:42,182 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:51:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4567, loss: 0.4567 +2025-07-02 05:09:57,827 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:50:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.3693, loss: 0.3693 +2025-07-02 05:10:13,418 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:50:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4028, loss: 0.4028 +2025-07-02 05:10:29,014 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:50:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4521, loss: 0.4521 +2025-07-02 05:10:44,516 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:49:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4186, loss: 0.4186 +2025-07-02 05:11:00,107 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:49:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9888, loss_cls: 0.4144, loss: 0.4144 +2025-07-02 05:11:15,766 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:49:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 05:11:31,278 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:49:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4657, loss: 0.4657 +2025-07-02 05:11:46,847 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:48:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4201, loss: 0.4201 +2025-07-02 05:11:59,490 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 05:12:22,619 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:12:22,629 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9926 +2025-07-02 05:12:22,630 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9197, top5_acc: 0.9926 +2025-07-02 05:12:59,801 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:48:28, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.3620, loss: 0.3620 +2025-07-02 05:13:15,466 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:48:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3775, loss: 0.3775 +2025-07-02 05:13:31,022 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:47:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 05:13:46,541 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:47:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3728, loss: 0.3728 +2025-07-02 05:14:02,057 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:47:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3791, loss: 0.3791 +2025-07-02 05:14:17,642 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:47:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4430, loss: 0.4430 +2025-07-02 05:14:33,160 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:46:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4289, loss: 0.4289 +2025-07-02 05:14:48,676 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:46:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4528, loss: 0.4528 +2025-07-02 05:15:04,318 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:46:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4497, loss: 0.4497 +2025-07-02 05:15:19,934 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:45:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4062, loss: 0.4062 +2025-07-02 05:15:35,505 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:45:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.3993, loss: 0.3993 +2025-07-02 05:15:48,246 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 05:16:11,419 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:16:11,429 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9948 +2025-07-02 05:16:11,429 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9197, top5_acc: 0.9948 +2025-07-02 05:16:48,225 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:45:21, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 05:17:03,936 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:45:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4080, loss: 0.4080 +2025-07-02 05:17:19,535 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:44:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3282, loss: 0.3282 +2025-07-02 05:17:35,120 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:44:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 05:17:50,721 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:44:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4196, loss: 0.4196 +2025-07-02 05:18:06,292 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:43:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9938, loss_cls: 0.4834, loss: 0.4834 +2025-07-02 05:18:21,782 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:43:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4274, loss: 0.4274 +2025-07-02 05:18:37,313 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:43:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4123, loss: 0.4123 +2025-07-02 05:18:52,852 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:43:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 0.4215, loss: 0.4215 +2025-07-02 05:19:08,399 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:42:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3973, loss: 0.3973 +2025-07-02 05:19:23,944 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:42:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3580, loss: 0.3580 +2025-07-02 05:19:36,600 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 05:19:59,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:19:59,854 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9926 +2025-07-02 05:19:59,854 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9072, top5_acc: 0.9926 +2025-07-02 05:20:36,539 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:42:13, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3372, loss: 0.3372 +2025-07-02 05:20:52,179 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:41:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4048, loss: 0.4048 +2025-07-02 05:21:07,748 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:41:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3776, loss: 0.3776 +2025-07-02 05:21:23,232 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:41:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3743, loss: 0.3743 +2025-07-02 05:21:38,737 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:41:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4064, loss: 0.4064 +2025-07-02 05:21:54,287 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:40:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 05:22:09,854 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:40:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4060, loss: 0.4060 +2025-07-02 05:22:25,497 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:40:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 05:22:41,108 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:39:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 05:22:56,673 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:39:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 05:23:12,226 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:39:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4539, loss: 0.4539 +2025-07-02 05:23:24,902 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 05:23:48,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:23:48,059 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9926 +2025-07-02 05:23:48,059 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.8905, top5_acc: 0.9926 +2025-07-02 05:24:25,153 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:39:06, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.3653, loss: 0.3653 +2025-07-02 05:24:40,802 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:38:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4100, loss: 0.4100 +2025-07-02 05:24:56,332 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:38:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 05:25:11,932 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:38:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.4019, loss: 0.4019 +2025-07-02 05:25:27,432 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:37:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3557, loss: 0.3557 +2025-07-02 05:25:42,967 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:37:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3804, loss: 0.3804 +2025-07-02 05:25:58,632 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:37:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4966, loss: 0.4966 +2025-07-02 05:26:14,264 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:37:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4465, loss: 0.4465 +2025-07-02 05:26:29,789 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:36:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.3857, loss: 0.3857 +2025-07-02 05:26:45,259 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:36:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4244, loss: 0.4244 +2025-07-02 05:27:00,737 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:36:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 05:27:13,331 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 05:27:36,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:27:36,414 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9941 +2025-07-02 05:27:36,415 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.9157, top5_acc: 0.9941 +2025-07-02 05:28:13,620 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:35:59, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3248, loss: 0.3248 +2025-07-02 05:28:29,204 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:35:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3443, loss: 0.3443 +2025-07-02 05:28:44,666 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:35:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 0.3820, loss: 0.3820 +2025-07-02 05:29:00,102 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:35:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3916, loss: 0.3916 +2025-07-02 05:29:15,645 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:34:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.3689, loss: 0.3689 +2025-07-02 05:29:31,126 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:34:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4070, loss: 0.4070 +2025-07-02 05:29:46,606 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:34:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.3995, loss: 0.3995 +2025-07-02 05:30:02,170 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:33:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4478, loss: 0.4478 +2025-07-02 05:30:17,985 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:33:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.3997, loss: 0.3997 +2025-07-02 05:30:33,698 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:33:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3373, loss: 0.3373 +2025-07-02 05:30:49,351 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:33:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3917, loss: 0.3917 +2025-07-02 05:31:02,024 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 05:31:25,147 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:31:25,157 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9948 +2025-07-02 05:31:25,158 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9301, top5_acc: 0.9948 +2025-07-02 05:32:01,798 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:32:51, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3383, loss: 0.3383 +2025-07-02 05:32:17,531 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:32:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3634, loss: 0.3634 +2025-07-02 05:32:33,159 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:32:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9981, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 05:32:48,767 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:32:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3300, loss: 0.3300 +2025-07-02 05:33:04,406 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:31:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3894, loss: 0.3894 +2025-07-02 05:33:20,020 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:31:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4095, loss: 0.4095 +2025-07-02 05:33:35,622 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:31:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 0.4421, loss: 0.4421 +2025-07-02 05:33:51,238 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:30:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4212, loss: 0.4212 +2025-07-02 05:34:06,824 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:30:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9906, loss_cls: 0.3746, loss: 0.3746 +2025-07-02 05:34:22,374 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:30:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3635, loss: 0.3635 +2025-07-02 05:34:37,874 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:30:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3954, loss: 0.3954 +2025-07-02 05:34:50,513 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 05:35:13,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:35:13,471 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9948 +2025-07-02 05:35:13,471 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9257, top5_acc: 0.9948 +2025-07-02 05:35:51,234 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:29:45, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 0.3430, loss: 0.3430 +2025-07-02 05:36:06,839 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:29:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3679, loss: 0.3679 +2025-07-02 05:36:22,421 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:29:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3398, loss: 0.3398 +2025-07-02 05:36:37,882 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:28:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3601, loss: 0.3601 +2025-07-02 05:36:53,411 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:28:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 0.3626, loss: 0.3626 +2025-07-02 05:37:08,866 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:28:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3439, loss: 0.3439 +2025-07-02 05:37:24,284 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:28:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.3742, loss: 0.3742 +2025-07-02 05:37:39,725 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:27:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 05:37:55,154 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:27:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3764, loss: 0.3764 +2025-07-02 05:38:10,973 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:27:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4288, loss: 0.4288 +2025-07-02 05:38:26,594 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:26:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4164, loss: 0.4164 +2025-07-02 05:38:39,280 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 05:39:02,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:39:02,149 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9959 +2025-07-02 05:39:02,149 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9094, top5_acc: 0.9959 +2025-07-02 05:39:39,715 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:26:37, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9981, loss_cls: 0.3599, loss: 0.3599 +2025-07-02 05:39:55,301 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:26:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3585, loss: 0.3585 +2025-07-02 05:40:10,892 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:26:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3585, loss: 0.3585 +2025-07-02 05:40:26,454 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:25:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3241, loss: 0.3241 +2025-07-02 05:40:41,939 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:25:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4338, loss: 0.4338 +2025-07-02 05:40:57,410 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:25:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3532, loss: 0.3532 +2025-07-02 05:41:12,920 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:24:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3508, loss: 0.3508 +2025-07-02 05:41:28,459 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:24:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.3783, loss: 0.3783 +2025-07-02 05:41:43,932 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:24:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3835, loss: 0.3835 +2025-07-02 05:41:59,470 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:24:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3296, loss: 0.3296 +2025-07-02 05:42:15,087 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:23:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3588, loss: 0.3588 +2025-07-02 05:42:27,762 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 05:42:50,688 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:42:50,698 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9919 +2025-07-02 05:42:50,699 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.8876, top5_acc: 0.9919 +2025-07-02 05:43:28,225 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:23:29, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3604, loss: 0.3604 +2025-07-02 05:43:44,043 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:23:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 05:43:59,774 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:22:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3466, loss: 0.3466 +2025-07-02 05:44:15,420 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:22:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4076, loss: 0.4076 +2025-07-02 05:44:31,066 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:22:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3451, loss: 0.3451 +2025-07-02 05:44:46,672 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:22:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3505, loss: 0.3505 +2025-07-02 05:45:02,261 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:21:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4137, loss: 0.4137 +2025-07-02 05:45:17,845 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:21:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3830, loss: 0.3830 +2025-07-02 05:45:33,458 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:21:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3839, loss: 0.3839 +2025-07-02 05:45:49,021 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:20:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3899, loss: 0.3899 +2025-07-02 05:46:04,532 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:20:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.3916, loss: 0.3916 +2025-07-02 05:46:17,134 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 05:46:40,000 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:46:40,010 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9945 +2025-07-02 05:46:40,010 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9064, top5_acc: 0.9945 +2025-07-02 05:47:17,487 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:20:22, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.3918, loss: 0.3918 +2025-07-02 05:47:33,168 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:20:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3480, loss: 0.3480 +2025-07-02 05:47:48,825 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:19:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3901, loss: 0.3901 +2025-07-02 05:48:04,483 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:19:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.3493, loss: 0.3493 +2025-07-02 05:48:20,031 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:19:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.3711, loss: 0.3711 +2025-07-02 05:48:35,587 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:18:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3848, loss: 0.3848 +2025-07-02 05:48:51,053 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:18:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9988, loss_cls: 0.3460, loss: 0.3460 +2025-07-02 05:49:06,568 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:18:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.3913, loss: 0.3913 +2025-07-02 05:49:22,160 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:18:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3350, loss: 0.3350 +2025-07-02 05:49:37,683 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:17:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3911, loss: 0.3911 +2025-07-02 05:49:53,192 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:17:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.3891, loss: 0.3891 +2025-07-02 05:50:05,856 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 05:50:28,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:50:28,769 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9937 +2025-07-02 05:50:28,770 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9249, top5_acc: 0.9937 +2025-07-02 05:51:06,197 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:17:14, time: 0.374, data_time: 0.213, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3009, loss: 0.3009 +2025-07-02 05:51:21,889 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:16:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3645, loss: 0.3645 +2025-07-02 05:51:37,628 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:16:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3518, loss: 0.3518 +2025-07-02 05:51:53,263 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:16:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3745, loss: 0.3745 +2025-07-02 05:52:08,852 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:16:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.3353, loss: 0.3353 +2025-07-02 05:52:24,371 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:15:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3501, loss: 0.3501 +2025-07-02 05:52:40,185 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:15:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3883, loss: 0.3883 +2025-07-02 05:52:56,080 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:15:17, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3470, loss: 0.3470 +2025-07-02 05:53:11,658 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:15:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3789, loss: 0.3789 +2025-07-02 05:53:27,432 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:14:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 05:53:43,114 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:14:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3515, loss: 0.3515 +2025-07-02 05:53:55,775 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 05:54:18,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:54:18,749 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9904 +2025-07-02 05:54:18,750 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.8942, top5_acc: 0.9904 +2025-07-02 05:54:56,677 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:14:08, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3661, loss: 0.3661 +2025-07-02 05:55:12,257 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:13:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 0.3396, loss: 0.3396 +2025-07-02 05:55:28,038 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:13:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3563, loss: 0.3563 +2025-07-02 05:55:43,992 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:13:18, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3181, loss: 0.3181 +2025-07-02 05:55:59,627 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:13:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3468, loss: 0.3468 +2025-07-02 05:56:15,272 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:12:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3571, loss: 0.3571 +2025-07-02 05:56:30,882 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:12:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9900, loss_cls: 0.3945, loss: 0.3945 +2025-07-02 05:56:46,494 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:12:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3591, loss: 0.3591 +2025-07-02 05:57:02,151 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:11:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3166, loss: 0.3166 +2025-07-02 05:57:17,777 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:11:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 0.3475, loss: 0.3475 +2025-07-02 05:57:33,322 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:11:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 0.3759, loss: 0.3759 +2025-07-02 05:57:46,046 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 05:58:09,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:58:09,211 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9933 +2025-07-02 05:58:09,211 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.8854, top5_acc: 0.9933 +2025-07-02 05:58:46,594 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:11:01, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9988, loss_cls: 0.3294, loss: 0.3294 +2025-07-02 05:59:02,219 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:10:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 0.3085, loss: 0.3085 +2025-07-02 05:59:17,832 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:10:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 05:59:33,386 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:10:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2792, loss: 0.2792 +2025-07-02 05:59:48,969 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:09:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3631, loss: 0.3631 +2025-07-02 06:00:04,659 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:09:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3366, loss: 0.3366 +2025-07-02 06:00:20,275 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:09:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3294, loss: 0.3294 +2025-07-02 06:00:35,856 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:09:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3876, loss: 0.3876 +2025-07-02 06:00:51,429 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:08:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3707, loss: 0.3707 +2025-07-02 06:01:06,997 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:08:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3809, loss: 0.3809 +2025-07-02 06:01:22,570 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:08:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3464, loss: 0.3464 +2025-07-02 06:01:35,231 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 06:01:58,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:01:58,371 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9956 +2025-07-02 06:01:58,372 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9238, top5_acc: 0.9956 +2025-07-02 06:02:35,512 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:07:52, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 06:02:51,254 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:07:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 0.3207, loss: 0.3207 +2025-07-02 06:03:07,082 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:07:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3157, loss: 0.3157 +2025-07-02 06:03:22,739 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:07:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 06:03:38,306 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:06:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3173, loss: 0.3173 +2025-07-02 06:03:53,872 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:06:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3796, loss: 0.3796 +2025-07-02 06:04:09,370 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:06:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3452, loss: 0.3452 +2025-07-02 06:04:24,922 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:05:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 0.3554, loss: 0.3554 +2025-07-02 06:04:40,483 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:05:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 0.3630, loss: 0.3630 +2025-07-02 06:04:55,998 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:05:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.3775, loss: 0.3775 +2025-07-02 06:05:11,500 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:05:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9900, loss_cls: 0.3617, loss: 0.3617 +2025-07-02 06:05:24,113 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 06:05:47,308 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:05:47,318 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9937 +2025-07-02 06:05:47,319 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9009, top5_acc: 0.9937 +2025-07-02 06:06:24,245 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:04:44, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3692, loss: 0.3692 +2025-07-02 06:06:39,929 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:04:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3710, loss: 0.3710 +2025-07-02 06:06:55,601 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:04:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3461, loss: 0.3461 +2025-07-02 06:07:11,375 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:03:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3113, loss: 0.3113 +2025-07-02 06:07:26,973 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:03:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3474, loss: 0.3474 +2025-07-02 06:07:42,525 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:03:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3176, loss: 0.3176 +2025-07-02 06:07:58,079 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:03:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 06:08:13,651 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:02:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 06:08:29,172 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:02:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3479, loss: 0.3479 +2025-07-02 06:08:44,804 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:02:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3346, loss: 0.3346 +2025-07-02 06:09:00,373 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:01:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3683, loss: 0.3683 +2025-07-02 06:09:13,057 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 06:09:36,065 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:09:36,076 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9948 +2025-07-02 06:09:36,076 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9194, top5_acc: 0.9948 +2025-07-02 06:10:13,216 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:01:35, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2663, loss: 0.2663 +2025-07-02 06:10:28,979 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:01:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.3279, loss: 0.3279 +2025-07-02 06:10:44,627 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:01:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3241, loss: 0.3241 +2025-07-02 06:11:00,169 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:00:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3460, loss: 0.3460 +2025-07-02 06:11:15,706 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:00:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 0.3504, loss: 0.3504 +2025-07-02 06:11:31,414 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:00:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3458, loss: 0.3458 +2025-07-02 06:11:47,055 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 3:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3280, loss: 0.3280 +2025-07-02 06:12:02,666 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:59:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3184, loss: 0.3184 +2025-07-02 06:12:18,279 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:59:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9888, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 06:12:33,814 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:59:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 06:12:49,338 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:58:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3390, loss: 0.3390 +2025-07-02 06:13:01,985 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 06:13:25,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:13:25,065 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9945 +2025-07-02 06:13:25,066 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9216, top5_acc: 0.9945 +2025-07-02 06:14:02,623 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:58:27, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.3245, loss: 0.3245 +2025-07-02 06:14:18,253 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:58:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3396, loss: 0.3396 +2025-07-02 06:14:33,935 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:57:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3235, loss: 0.3235 +2025-07-02 06:14:49,599 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:57:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2997, loss: 0.2997 +2025-07-02 06:15:05,071 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:57:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.2913, loss: 0.2913 +2025-07-02 06:15:20,585 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:57:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 0.3253, loss: 0.3253 +2025-07-02 06:15:36,186 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:56:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3828, loss: 0.3828 +2025-07-02 06:15:51,644 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:56:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3171, loss: 0.3171 +2025-07-02 06:16:07,198 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:56:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3199, loss: 0.3199 +2025-07-02 06:16:22,731 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:55:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3530, loss: 0.3530 +2025-07-02 06:16:38,271 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:55:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3268, loss: 0.3268 +2025-07-02 06:16:50,908 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 06:17:14,103 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:17:14,113 - pyskl - INFO - +top1_acc 0.9020 +top5_acc 0.9896 +2025-07-02 06:17:14,113 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9020, top5_acc: 0.9896 +2025-07-02 06:17:51,442 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:55:18, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3187, loss: 0.3187 +2025-07-02 06:18:06,967 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:55:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.2836, loss: 0.2836 +2025-07-02 06:18:22,496 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:54:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2768, loss: 0.2768 +2025-07-02 06:18:38,037 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:54:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 06:18:53,563 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:54:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3151, loss: 0.3151 +2025-07-02 06:19:09,143 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:53:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3247, loss: 0.3247 +2025-07-02 06:19:24,667 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:53:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9881, loss_cls: 0.4179, loss: 0.4179 +2025-07-02 06:19:40,161 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:53:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3238, loss: 0.3238 +2025-07-02 06:19:55,759 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:53:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3103, loss: 0.3103 +2025-07-02 06:20:11,302 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:52:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3544, loss: 0.3544 +2025-07-02 06:20:26,885 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:52:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3379, loss: 0.3379 +2025-07-02 06:20:39,545 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 06:21:02,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:21:02,699 - pyskl - INFO - +top1_acc 0.9116 +top5_acc 0.9900 +2025-07-02 06:21:02,700 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9116, top5_acc: 0.9900 +2025-07-02 06:21:40,021 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:52:09, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2777, loss: 0.2777 +2025-07-02 06:21:55,611 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:51:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3112, loss: 0.3112 +2025-07-02 06:22:11,215 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:51:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3119, loss: 0.3119 +2025-07-02 06:22:26,931 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:51:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9994, loss_cls: 0.2806, loss: 0.2806 +2025-07-02 06:22:42,638 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:51:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3487, loss: 0.3487 +2025-07-02 06:22:58,318 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:50:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3152, loss: 0.3152 +2025-07-02 06:23:13,871 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:50:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.3309, loss: 0.3309 +2025-07-02 06:23:29,411 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:50:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3408, loss: 0.3408 +2025-07-02 06:23:45,028 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:49:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3244, loss: 0.3244 +2025-07-02 06:24:00,626 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:49:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3276, loss: 0.3276 +2025-07-02 06:24:16,239 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:49:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 06:24:28,937 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 06:24:51,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:24:51,958 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9904 +2025-07-02 06:24:51,958 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9120, top5_acc: 0.9904 +2025-07-02 06:25:29,392 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:49:00, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2715, loss: 0.2715 +2025-07-02 06:25:45,312 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:48:43, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3218, loss: 0.3218 +2025-07-02 06:26:01,060 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:48:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2998, loss: 0.2998 +2025-07-02 06:26:16,719 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:48:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.2965, loss: 0.2965 +2025-07-02 06:26:32,312 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:47:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2957, loss: 0.2957 +2025-07-02 06:26:48,123 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:47:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2939, loss: 0.2939 +2025-07-02 06:27:03,779 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:47:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2836, loss: 0.2836 +2025-07-02 06:27:19,335 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:47:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3394, loss: 0.3394 +2025-07-02 06:27:34,889 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3476, loss: 0.3476 +2025-07-02 06:27:50,458 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3241, loss: 0.3241 +2025-07-02 06:28:05,950 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:46:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3071, loss: 0.3071 +2025-07-02 06:28:18,556 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 06:28:41,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:28:41,657 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9941 +2025-07-02 06:28:41,661 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_49.pth was removed +2025-07-02 06:28:41,875 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-02 06:28:41,875 - pyskl - INFO - Best top1_acc is 0.9338 at 79 epoch. +2025-07-02 06:28:41,876 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9338, top5_acc: 0.9941 +2025-07-02 06:29:19,719 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:45:52, time: 0.378, data_time: 0.216, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2608, loss: 0.2608 +2025-07-02 06:29:35,437 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:45:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3208, loss: 0.3208 +2025-07-02 06:29:50,971 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:45:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3102, loss: 0.3102 +2025-07-02 06:30:06,574 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:45:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.3023, loss: 0.3023 +2025-07-02 06:30:22,132 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:44:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 0.2697, loss: 0.2697 +2025-07-02 06:30:37,730 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:44:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3300, loss: 0.3300 +2025-07-02 06:30:53,293 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:44:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.2851, loss: 0.2851 +2025-07-02 06:31:08,990 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:43:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 0.3178, loss: 0.3178 +2025-07-02 06:31:24,587 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:43:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3041, loss: 0.3041 +2025-07-02 06:31:40,060 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:43:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.2919, loss: 0.2919 +2025-07-02 06:31:55,553 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:43:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2877, loss: 0.2877 +2025-07-02 06:32:08,235 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 06:32:31,252 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:32:31,262 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9948 +2025-07-02 06:32:31,263 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9220, top5_acc: 0.9948 +2025-07-02 06:33:08,622 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:42:43, time: 0.374, data_time: 0.213, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2731, loss: 0.2731 +2025-07-02 06:33:24,197 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:42:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2831, loss: 0.2831 +2025-07-02 06:33:39,772 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:42:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2457, loss: 0.2457 +2025-07-02 06:33:55,490 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:41:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2932, loss: 0.2932 +2025-07-02 06:34:11,054 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:41:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2803, loss: 0.2803 +2025-07-02 06:34:26,722 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:41:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2700, loss: 0.2700 +2025-07-02 06:34:42,555 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:41:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2853, loss: 0.2853 +2025-07-02 06:34:58,256 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3247, loss: 0.3247 +2025-07-02 06:35:14,071 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.2708, loss: 0.2708 +2025-07-02 06:35:29,580 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:40:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.3792, loss: 0.3792 +2025-07-02 06:35:45,101 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:39:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3005, loss: 0.3005 +2025-07-02 06:35:57,674 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 06:36:20,794 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:36:20,804 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9959 +2025-07-02 06:36:20,805 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9194, top5_acc: 0.9959 +2025-07-02 06:36:58,191 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:34, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2728, loss: 0.2728 +2025-07-02 06:37:13,740 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:39:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3128, loss: 0.3128 +2025-07-02 06:37:29,276 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:39:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3117, loss: 0.3117 +2025-07-02 06:37:44,846 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:38:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2835, loss: 0.2835 +2025-07-02 06:38:00,443 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:38:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.3001, loss: 0.3001 +2025-07-02 06:38:16,063 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:38:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2977, loss: 0.2977 +2025-07-02 06:38:31,655 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:37:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3667, loss: 0.3667 +2025-07-02 06:38:47,284 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:37:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2556, loss: 0.2556 +2025-07-02 06:39:02,791 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:37:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.2927, loss: 0.2927 +2025-07-02 06:39:18,277 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:37:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.2765, loss: 0.2765 +2025-07-02 06:39:33,757 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2951, loss: 0.2951 +2025-07-02 06:39:46,331 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 06:40:09,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:40:09,228 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9859 +2025-07-02 06:40:09,228 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.8939, top5_acc: 0.9859 +2025-07-02 06:40:46,541 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:36:24, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2633, loss: 0.2633 +2025-07-02 06:41:02,169 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:36:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 06:41:17,698 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:35:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2534, loss: 0.2534 +2025-07-02 06:41:33,338 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2728, loss: 0.2728 +2025-07-02 06:41:48,898 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:35:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3312, loss: 0.3312 +2025-07-02 06:42:04,460 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:35:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3396, loss: 0.3396 +2025-07-02 06:42:20,135 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3173, loss: 0.3173 +2025-07-02 06:42:35,996 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:27, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.3094, loss: 0.3094 +2025-07-02 06:42:51,613 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:34:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2850, loss: 0.2850 +2025-07-02 06:43:07,168 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:33:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2792, loss: 0.2792 +2025-07-02 06:43:22,683 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:33:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3060, loss: 0.3060 +2025-07-02 06:43:35,315 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 06:43:58,481 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:43:58,491 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9919 +2025-07-02 06:43:58,492 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9168, top5_acc: 0.9919 +2025-07-02 06:44:36,142 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:33:15, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2522, loss: 0.2522 +2025-07-02 06:44:51,795 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:32:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2662, loss: 0.2662 +2025-07-02 06:45:07,262 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:32:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2394, loss: 0.2394 +2025-07-02 06:45:22,908 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:32:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2373, loss: 0.2373 +2025-07-02 06:45:38,493 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:32:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2495, loss: 0.2495 +2025-07-02 06:45:54,145 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:31:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2839, loss: 0.2839 +2025-07-02 06:46:09,861 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 0.3027, loss: 0.3027 +2025-07-02 06:46:25,609 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:31:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2697, loss: 0.2697 +2025-07-02 06:46:41,182 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:31:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 06:46:56,729 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2596, loss: 0.2596 +2025-07-02 06:47:12,312 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2916, loss: 0.2916 +2025-07-02 06:47:24,974 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 06:47:48,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:47:48,138 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9930 +2025-07-02 06:47:48,138 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9157, top5_acc: 0.9930 +2025-07-02 06:48:25,683 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:30:06, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2814, loss: 0.2814 +2025-07-02 06:48:41,300 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2515, loss: 0.2515 +2025-07-02 06:48:56,914 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2481, loss: 0.2481 +2025-07-02 06:49:12,542 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:29:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2472, loss: 0.2472 +2025-07-02 06:49:28,148 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:28:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2154, loss: 0.2154 +2025-07-02 06:49:43,923 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9938, loss_cls: 0.2794, loss: 0.2794 +2025-07-02 06:49:59,517 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:28:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3483, loss: 0.3483 +2025-07-02 06:50:15,105 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:28:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 0.2875, loss: 0.2875 +2025-07-02 06:50:30,626 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:27:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2892, loss: 0.2892 +2025-07-02 06:50:46,131 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2746, loss: 0.2746 +2025-07-02 06:51:01,603 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:27:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9900, loss_cls: 0.3520, loss: 0.3520 +2025-07-02 06:51:14,283 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 06:51:37,474 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:51:37,484 - pyskl - INFO - +top1_acc 0.9227 +top5_acc 0.9937 +2025-07-02 06:51:37,485 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9227, top5_acc: 0.9937 +2025-07-02 06:52:14,981 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:26:56, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2512, loss: 0.2512 +2025-07-02 06:52:30,525 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:26:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 06:52:46,113 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:26:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2502, loss: 0.2502 +2025-07-02 06:53:01,831 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:26:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2604, loss: 0.2604 +2025-07-02 06:53:17,412 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2647, loss: 0.2647 +2025-07-02 06:53:33,016 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2298, loss: 0.2298 +2025-07-02 06:53:48,600 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:25:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2731, loss: 0.2731 +2025-07-02 06:54:04,265 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:24:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.3053, loss: 0.3053 +2025-07-02 06:54:19,904 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2414, loss: 0.2414 +2025-07-02 06:54:35,457 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:24:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9944, loss_cls: 0.2779, loss: 0.2779 +2025-07-02 06:54:50,999 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:24:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2803, loss: 0.2803 +2025-07-02 06:55:03,662 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 06:55:26,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:55:26,662 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9948 +2025-07-02 06:55:26,662 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9294, top5_acc: 0.9948 +2025-07-02 06:56:03,750 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:46, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2152, loss: 0.2152 +2025-07-02 06:56:19,318 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2623, loss: 0.2623 +2025-07-02 06:56:34,944 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:23:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2740, loss: 0.2740 +2025-07-02 06:56:50,608 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:22:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2455, loss: 0.2455 +2025-07-02 06:57:06,250 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:22:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 1.0000, loss_cls: 0.2716, loss: 0.2716 +2025-07-02 06:57:21,893 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:22:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3220, loss: 0.3220 +2025-07-02 06:57:37,555 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:22:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2623, loss: 0.2623 +2025-07-02 06:57:53,165 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 06:58:08,784 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.2879, loss: 0.2879 +2025-07-02 06:58:24,280 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:21:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2594, loss: 0.2594 +2025-07-02 06:58:39,755 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:20:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2747, loss: 0.2747 +2025-07-02 06:58:52,386 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 06:59:15,476 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:59:15,486 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9956 +2025-07-02 06:59:15,487 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9249, top5_acc: 0.9956 +2025-07-02 06:59:52,968 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:36, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9944, loss_cls: 0.2658, loss: 0.2658 +2025-07-02 07:00:08,599 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:20:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2257, loss: 0.2257 +2025-07-02 07:00:24,123 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:20:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2202, loss: 0.2202 +2025-07-02 07:00:39,759 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2695, loss: 0.2695 +2025-07-02 07:00:55,394 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 07:01:11,061 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:19:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2693, loss: 0.2693 +2025-07-02 07:01:26,705 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:18:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 07:01:42,388 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2911, loss: 0.2911 +2025-07-02 07:01:58,055 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:18:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2772, loss: 0.2772 +2025-07-02 07:02:13,599 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:18:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2818, loss: 0.2818 +2025-07-02 07:02:29,149 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2422, loss: 0.2422 +2025-07-02 07:02:41,834 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 07:03:04,878 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:03:04,888 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9937 +2025-07-02 07:03:04,891 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_79.pth was removed +2025-07-02 07:03:05,000 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2025-07-02 07:03:05,001 - pyskl - INFO - Best top1_acc is 0.9349 at 88 epoch. +2025-07-02 07:03:05,002 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9349, top5_acc: 0.9937 +2025-07-02 07:03:42,242 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:27, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1781, loss: 0.1781 +2025-07-02 07:03:57,809 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:17:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 0.2410, loss: 0.2410 +2025-07-02 07:04:13,282 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:16:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2287, loss: 0.2287 +2025-07-02 07:04:28,875 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2356, loss: 0.2356 +2025-07-02 07:04:44,476 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:16:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.2183, loss: 0.2183 +2025-07-02 07:05:00,184 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:16:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2211, loss: 0.2211 +2025-07-02 07:05:15,814 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2340, loss: 0.2340 +2025-07-02 07:05:31,635 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2901, loss: 0.2901 +2025-07-02 07:05:47,314 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:15:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.2845, loss: 0.2845 +2025-07-02 07:06:02,930 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:14:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2865, loss: 0.2865 +2025-07-02 07:06:18,559 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2881, loss: 0.2881 +2025-07-02 07:06:31,249 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 07:06:54,314 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:06:54,324 - pyskl - INFO - +top1_acc 0.9138 +top5_acc 0.9878 +2025-07-02 07:06:54,325 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9138, top5_acc: 0.9878 +2025-07-02 07:07:31,917 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:14:17, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2317, loss: 0.2317 +2025-07-02 07:07:47,564 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:14:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9944, loss_cls: 0.2246, loss: 0.2246 +2025-07-02 07:08:03,142 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2387, loss: 0.2387 +2025-07-02 07:08:18,687 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2621, loss: 0.2621 +2025-07-02 07:08:34,296 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:13:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2279, loss: 0.2279 +2025-07-02 07:08:50,282 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:12:54, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2245, loss: 0.2245 +2025-07-02 07:09:05,955 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2361, loss: 0.2361 +2025-07-02 07:09:21,525 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:12:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2820, loss: 0.2820 +2025-07-02 07:09:37,079 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:12:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2544, loss: 0.2544 +2025-07-02 07:09:52,644 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2595, loss: 0.2595 +2025-07-02 07:10:08,163 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 07:10:20,839 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 07:10:44,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:10:44,180 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9926 +2025-07-02 07:10:44,180 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9271, top5_acc: 0.9926 +2025-07-02 07:11:21,411 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:11:07, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2281, loss: 0.2281 +2025-07-02 07:11:37,127 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.2772, loss: 0.2772 +2025-07-02 07:11:52,766 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 07:12:08,310 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:10:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.2069, loss: 0.2069 +2025-07-02 07:12:23,878 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:10:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2604, loss: 0.2604 +2025-07-02 07:12:39,417 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2423, loss: 0.2423 +2025-07-02 07:12:54,874 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2446, loss: 0.2446 +2025-07-02 07:13:10,456 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:09:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2649, loss: 0.2649 +2025-07-02 07:13:26,340 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:08:54, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2314, loss: 0.2314 +2025-07-02 07:13:41,850 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2386, loss: 0.2386 +2025-07-02 07:13:57,392 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:08:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.2976, loss: 0.2976 +2025-07-02 07:14:10,112 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 07:14:33,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:14:33,424 - pyskl - INFO - +top1_acc 0.9227 +top5_acc 0.9933 +2025-07-02 07:14:33,424 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9227, top5_acc: 0.9933 +2025-07-02 07:15:10,194 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:07:56, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2466, loss: 0.2466 +2025-07-02 07:15:25,692 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2198, loss: 0.2198 +2025-07-02 07:15:41,286 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:07:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2468, loss: 0.2468 +2025-07-02 07:15:56,930 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:07:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2323, loss: 0.2323 +2025-07-02 07:16:12,531 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1989, loss: 0.1989 +2025-07-02 07:16:28,353 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2392, loss: 0.2392 +2025-07-02 07:16:43,994 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:06:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9944, loss_cls: 0.2615, loss: 0.2615 +2025-07-02 07:16:59,655 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:06:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2419, loss: 0.2419 +2025-07-02 07:17:15,222 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2163, loss: 0.2163 +2025-07-02 07:17:30,700 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2801, loss: 0.2801 +2025-07-02 07:17:46,249 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:05:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2273, loss: 0.2273 +2025-07-02 07:17:58,936 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 07:18:21,989 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:18:21,999 - pyskl - INFO - +top1_acc 0.9179 +top5_acc 0.9926 +2025-07-02 07:18:22,000 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9179, top5_acc: 0.9926 +2025-07-02 07:18:59,308 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:46, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2531, loss: 0.2531 +2025-07-02 07:19:14,880 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2388, loss: 0.2388 +2025-07-02 07:19:30,379 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:04:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2438, loss: 0.2438 +2025-07-02 07:19:46,243 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:03:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2455, loss: 0.2455 +2025-07-02 07:20:01,878 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2037, loss: 0.2037 +2025-07-02 07:20:17,632 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:03:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2191, loss: 0.2191 +2025-07-02 07:20:33,410 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:03:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2382, loss: 0.2382 +2025-07-02 07:20:49,245 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2200, loss: 0.2200 +2025-07-02 07:21:04,918 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2479, loss: 0.2479 +2025-07-02 07:21:20,546 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:02:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2227, loss: 0.2227 +2025-07-02 07:21:36,089 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:02:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2379, loss: 0.2379 +2025-07-02 07:21:48,774 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 07:22:11,792 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:22:11,803 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9956 +2025-07-02 07:22:11,803 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9249, top5_acc: 0.9956 +2025-07-02 07:22:49,412 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:37, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.1925, loss: 0.1925 +2025-07-02 07:23:05,205 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:01:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2030, loss: 0.2030 +2025-07-02 07:23:21,057 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:01:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2133, loss: 0.2133 +2025-07-02 07:23:36,809 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2235, loss: 0.2235 +2025-07-02 07:23:52,748 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2288, loss: 0.2288 +2025-07-02 07:24:08,537 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:00:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2024, loss: 0.2024 +2025-07-02 07:24:24,187 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 2:59:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2145, loss: 0.2145 +2025-07-02 07:24:39,826 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 07:24:55,442 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:59:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2371, loss: 0.2371 +2025-07-02 07:25:11,053 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:59:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2443, loss: 0.2443 +2025-07-02 07:25:26,646 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2829, loss: 0.2829 +2025-07-02 07:25:39,365 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 07:26:02,417 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:26:02,428 - pyskl - INFO - +top1_acc 0.9342 +top5_acc 0.9959 +2025-07-02 07:26:02,428 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9342, top5_acc: 0.9959 +2025-07-02 07:26:39,729 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:27, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2138, loss: 0.2138 +2025-07-02 07:26:55,558 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:58:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2435, loss: 0.2435 +2025-07-02 07:27:11,230 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:57:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 07:27:26,968 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.1993, loss: 0.1993 +2025-07-02 07:27:42,554 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:57:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2394, loss: 0.2394 +2025-07-02 07:27:58,163 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:57:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2095, loss: 0.2095 +2025-07-02 07:28:13,748 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2619, loss: 0.2619 +2025-07-02 07:28:29,298 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1940, loss: 0.1940 +2025-07-02 07:28:44,779 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:56:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2618, loss: 0.2618 +2025-07-02 07:29:00,288 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:55:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2392, loss: 0.2392 +2025-07-02 07:29:15,798 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2240, loss: 0.2240 +2025-07-02 07:29:28,378 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 07:29:51,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:29:51,447 - pyskl - INFO - +top1_acc 0.9323 +top5_acc 0.9970 +2025-07-02 07:29:51,448 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9323, top5_acc: 0.9970 +2025-07-02 07:30:28,794 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:55:17, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1929, loss: 0.1929 +2025-07-02 07:30:44,333 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2157, loss: 0.2157 +2025-07-02 07:30:59,906 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1936, loss: 0.1936 +2025-07-02 07:31:15,482 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1962, loss: 0.1962 +2025-07-02 07:31:31,089 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:54:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2256, loss: 0.2256 +2025-07-02 07:31:46,890 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:53:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2035, loss: 0.2035 +2025-07-02 07:32:02,569 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2277, loss: 0.2277 +2025-07-02 07:32:18,198 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:53:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.2076, loss: 0.2076 +2025-07-02 07:32:33,762 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:53:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2269, loss: 0.2269 +2025-07-02 07:32:49,341 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2354, loss: 0.2354 +2025-07-02 07:33:04,926 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2370, loss: 0.2370 +2025-07-02 07:33:17,548 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 07:33:40,426 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:33:40,436 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9933 +2025-07-02 07:33:40,437 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9253, top5_acc: 0.9933 +2025-07-02 07:34:17,846 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:52:06, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1813, loss: 0.1813 +2025-07-02 07:34:33,672 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2103, loss: 0.2103 +2025-07-02 07:34:49,434 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 07:35:05,118 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:51:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1776, loss: 0.1776 +2025-07-02 07:35:20,815 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1706, loss: 0.1706 +2025-07-02 07:35:36,495 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2222, loss: 0.2222 +2025-07-02 07:35:52,080 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2144, loss: 0.2144 +2025-07-02 07:36:07,661 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:50:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2058, loss: 0.2058 +2025-07-02 07:36:23,295 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2442, loss: 0.2442 +2025-07-02 07:36:38,877 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2091, loss: 0.2091 +2025-07-02 07:36:54,535 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:49:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2089, loss: 0.2089 +2025-07-02 07:37:07,216 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 07:37:30,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:37:30,277 - pyskl - INFO - +top1_acc 0.9227 +top5_acc 0.9889 +2025-07-02 07:37:30,277 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9227, top5_acc: 0.9889 +2025-07-02 07:38:07,478 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:48:56, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 07:38:22,990 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 07:38:38,714 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:48:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1646, loss: 0.1646 +2025-07-02 07:38:54,335 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:48:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1961, loss: 0.1961 +2025-07-02 07:39:10,057 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1562, loss: 0.1562 +2025-07-02 07:39:25,574 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2175, loss: 0.2175 +2025-07-02 07:39:41,303 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:47:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2606, loss: 0.2606 +2025-07-02 07:39:56,876 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.2000, loss: 0.2000 +2025-07-02 07:40:12,601 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.1908, loss: 0.1908 +2025-07-02 07:40:28,054 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 0.2301, loss: 0.2301 +2025-07-02 07:40:43,467 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:46:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1887, loss: 0.1887 +2025-07-02 07:40:56,036 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 07:41:18,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:41:18,994 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9956 +2025-07-02 07:41:18,997 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_88.pth was removed +2025-07-02 07:41:19,118 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 07:41:19,119 - pyskl - INFO - Best top1_acc is 0.9453 at 98 epoch. +2025-07-02 07:41:19,119 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9453, top5_acc: 0.9956 +2025-07-02 07:41:56,270 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:45, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.1885, loss: 0.1885 +2025-07-02 07:42:11,871 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2283, loss: 0.2283 +2025-07-02 07:42:27,431 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:45:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 07:42:42,920 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:44:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2047, loss: 0.2047 +2025-07-02 07:42:58,625 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2419, loss: 0.2419 +2025-07-02 07:43:14,200 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:44:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2292, loss: 0.2292 +2025-07-02 07:43:29,765 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:44:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2140, loss: 0.2140 +2025-07-02 07:43:45,313 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2345, loss: 0.2345 +2025-07-02 07:44:00,843 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1853, loss: 0.1853 +2025-07-02 07:44:16,377 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:43:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1599, loss: 0.1599 +2025-07-02 07:44:31,906 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:42:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9944, loss_cls: 0.2234, loss: 0.2234 +2025-07-02 07:44:44,590 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 07:45:07,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:45:07,465 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9948 +2025-07-02 07:45:07,465 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9297, top5_acc: 0.9948 +2025-07-02 07:45:44,764 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:34, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1761, loss: 0.1761 +2025-07-02 07:46:00,333 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:42:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1738, loss: 0.1738 +2025-07-02 07:46:15,936 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1792, loss: 0.1792 +2025-07-02 07:46:31,522 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1921, loss: 0.1921 +2025-07-02 07:46:47,127 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1478, loss: 0.1478 +2025-07-02 07:47:02,626 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:41:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2193, loss: 0.2193 +2025-07-02 07:47:18,323 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1995, loss: 0.1995 +2025-07-02 07:47:34,054 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2223, loss: 0.2223 +2025-07-02 07:47:49,615 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:40:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1661, loss: 0.1661 +2025-07-02 07:48:05,158 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2054, loss: 0.2054 +2025-07-02 07:48:20,687 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2018, loss: 0.2018 +2025-07-02 07:48:33,330 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 07:48:56,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:48:56,426 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9974 +2025-07-02 07:48:56,427 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9386, top5_acc: 0.9974 +2025-07-02 07:49:33,923 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:24, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1628, loss: 0.1628 +2025-07-02 07:49:49,618 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1623, loss: 0.1623 +2025-07-02 07:50:05,177 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1244, loss: 0.1244 +2025-07-02 07:50:20,818 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1790, loss: 0.1790 +2025-07-02 07:50:36,500 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:38:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1924, loss: 0.1924 +2025-07-02 07:50:52,408 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:01, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1888, loss: 0.1888 +2025-07-02 07:51:07,907 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1639, loss: 0.1639 +2025-07-02 07:51:23,349 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2348, loss: 0.2348 +2025-07-02 07:51:38,857 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:37:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1828, loss: 0.1828 +2025-07-02 07:51:54,434 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1589, loss: 0.1589 +2025-07-02 07:52:09,973 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1796, loss: 0.1796 +2025-07-02 07:52:22,613 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 07:52:45,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:52:45,593 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9952 +2025-07-02 07:52:45,593 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9327, top5_acc: 0.9952 +2025-07-02 07:53:23,006 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:36:13, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 07:53:38,779 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1663, loss: 0.1663 +2025-07-02 07:53:54,269 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 07:54:09,810 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.2133, loss: 0.2133 +2025-07-02 07:54:25,355 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 07:54:40,882 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2084, loss: 0.2084 +2025-07-02 07:54:56,488 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1922, loss: 0.1922 +2025-07-02 07:55:12,018 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:34:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.2004, loss: 0.2004 +2025-07-02 07:55:27,482 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2446, loss: 0.2446 +2025-07-02 07:55:42,959 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2027, loss: 0.2027 +2025-07-02 07:55:58,418 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2442, loss: 0.2442 +2025-07-02 07:56:11,044 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 07:56:34,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:56:34,586 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9948 +2025-07-02 07:56:34,587 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9334, top5_acc: 0.9948 +2025-07-02 07:57:11,983 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:02, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1511, loss: 0.1511 +2025-07-02 07:57:27,891 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:45, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2044, loss: 0.2044 +2025-07-02 07:57:43,855 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:29, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1898, loss: 0.1898 +2025-07-02 07:57:59,603 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:32:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2193, loss: 0.2193 +2025-07-02 07:58:15,299 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1677, loss: 0.1677 +2025-07-02 07:58:30,921 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1981, loss: 0.1981 +2025-07-02 07:58:46,501 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1778, loss: 0.1778 +2025-07-02 07:59:02,067 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1638, loss: 0.1638 +2025-07-02 07:59:17,580 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1653, loss: 0.1653 +2025-07-02 07:59:33,056 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2239, loss: 0.2239 +2025-07-02 07:59:48,568 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:30:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1602, loss: 0.1602 +2025-07-02 08:00:01,181 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 08:00:24,459 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:00:24,470 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9963 +2025-07-02 08:00:24,470 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9382, top5_acc: 0.9963 +2025-07-02 08:01:01,939 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:51, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1362, loss: 0.1362 +2025-07-02 08:01:17,797 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:35, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1644, loss: 0.1644 +2025-07-02 08:01:33,537 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 08:01:49,210 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1889, loss: 0.1889 +2025-07-02 08:02:05,077 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:45, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1746, loss: 0.1746 +2025-07-02 08:02:20,678 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1776, loss: 0.1776 +2025-07-02 08:02:36,304 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:28:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1645, loss: 0.1645 +2025-07-02 08:02:51,955 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1739, loss: 0.1739 +2025-07-02 08:03:07,626 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1585, loss: 0.1585 +2025-07-02 08:03:23,242 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2211, loss: 0.2211 +2025-07-02 08:03:38,816 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1853, loss: 0.1853 +2025-07-02 08:03:51,498 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 08:04:14,368 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:04:14,378 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9956 +2025-07-02 08:04:14,379 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9312, top5_acc: 0.9956 +2025-07-02 08:04:51,613 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:41, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1399, loss: 0.1399 +2025-07-02 08:05:07,140 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1637, loss: 0.1637 +2025-07-02 08:05:22,730 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9962, loss_cls: 0.1550, loss: 0.1550 +2025-07-02 08:05:38,266 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1568, loss: 0.1568 +2025-07-02 08:05:53,880 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1555, loss: 0.1555 +2025-07-02 08:06:09,464 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:25:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.1950, loss: 0.1950 +2025-07-02 08:06:25,128 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1823, loss: 0.1823 +2025-07-02 08:06:40,841 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1757, loss: 0.1757 +2025-07-02 08:06:56,475 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1796, loss: 0.1796 +2025-07-02 08:07:12,039 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1679, loss: 0.1679 +2025-07-02 08:07:27,569 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2316, loss: 0.2316 +2025-07-02 08:07:40,262 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 08:08:03,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:08:03,315 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9959 +2025-07-02 08:08:03,315 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9345, top5_acc: 0.9959 +2025-07-02 08:08:40,908 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:30, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1576, loss: 0.1576 +2025-07-02 08:08:56,617 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1751, loss: 0.1751 +2025-07-02 08:09:12,208 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.1880, loss: 0.1880 +2025-07-02 08:09:27,885 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 08:09:43,513 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1314, loss: 0.1314 +2025-07-02 08:09:59,049 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1529, loss: 0.1529 +2025-07-02 08:10:14,571 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1376, loss: 0.1376 +2025-07-02 08:10:30,097 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1801, loss: 0.1801 +2025-07-02 08:10:45,635 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:21:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1509, loss: 0.1509 +2025-07-02 08:11:01,211 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1726, loss: 0.1726 +2025-07-02 08:11:16,739 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 08:11:29,369 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 08:11:52,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:11:52,617 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9945 +2025-07-02 08:11:52,617 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9268, top5_acc: 0.9945 +2025-07-02 08:12:30,023 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:19, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1338, loss: 0.1338 +2025-07-02 08:12:45,527 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1376, loss: 0.1376 +2025-07-02 08:13:01,032 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1517, loss: 0.1517 +2025-07-02 08:13:16,627 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1291, loss: 0.1291 +2025-07-02 08:13:32,338 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1683, loss: 0.1683 +2025-07-02 08:13:48,290 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:56, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2011, loss: 0.2011 +2025-07-02 08:14:04,204 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:40, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 08:14:19,714 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1446, loss: 0.1446 +2025-07-02 08:14:35,232 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 08:14:50,751 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1249, loss: 0.1249 +2025-07-02 08:15:06,323 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1662, loss: 0.1662 +2025-07-02 08:15:18,957 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 08:15:41,968 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:15:41,978 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9945 +2025-07-02 08:15:41,978 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9353, top5_acc: 0.9945 +2025-07-02 08:16:19,238 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:08, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 08:16:34,864 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 08:16:50,400 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1411, loss: 0.1411 +2025-07-02 08:17:06,092 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1347, loss: 0.1347 +2025-07-02 08:17:21,799 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 08:17:37,410 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 08:17:53,026 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1479, loss: 0.1479 +2025-07-02 08:18:08,551 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1447, loss: 0.1447 +2025-07-02 08:18:24,078 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1501, loss: 0.1501 +2025-07-02 08:18:39,491 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1862, loss: 0.1862 +2025-07-02 08:18:54,887 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1661, loss: 0.1661 +2025-07-02 08:19:07,425 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 08:19:30,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:19:30,453 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9952 +2025-07-02 08:19:30,453 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9312, top5_acc: 0.9952 +2025-07-02 08:20:07,842 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:57, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1296, loss: 0.1296 +2025-07-02 08:20:23,500 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1242, loss: 0.1242 +2025-07-02 08:20:39,155 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1382, loss: 0.1382 +2025-07-02 08:20:54,870 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1413, loss: 0.1413 +2025-07-02 08:21:10,765 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 08:21:26,483 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1414, loss: 0.1414 +2025-07-02 08:21:42,126 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1318, loss: 0.1318 +2025-07-02 08:21:57,658 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:12:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1489, loss: 0.1489 +2025-07-02 08:22:13,142 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1656, loss: 0.1656 +2025-07-02 08:22:28,632 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 08:22:44,148 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1402, loss: 0.1402 +2025-07-02 08:22:56,763 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 08:23:19,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:23:19,762 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9956 +2025-07-02 08:23:19,762 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9301, top5_acc: 0.9956 +2025-07-02 08:23:57,244 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:46, time: 0.375, data_time: 0.213, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1132, loss: 0.1132 +2025-07-02 08:24:13,167 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:29, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 08:24:28,949 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1236, loss: 0.1236 +2025-07-02 08:24:44,728 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1349, loss: 0.1349 +2025-07-02 08:25:00,551 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1111, loss: 0.1111 +2025-07-02 08:25:16,210 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1526, loss: 0.1526 +2025-07-02 08:25:31,909 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1531, loss: 0.1531 +2025-07-02 08:25:47,522 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 08:26:03,108 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1653, loss: 0.1653 +2025-07-02 08:26:18,699 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 08:26:34,266 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:08:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1263, loss: 0.1263 +2025-07-02 08:26:47,000 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 08:27:10,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:27:10,128 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9948 +2025-07-02 08:27:10,132 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_98.pth was removed +2025-07-02 08:27:10,242 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 08:27:10,242 - pyskl - INFO - Best top1_acc is 0.9464 at 110 epoch. +2025-07-02 08:27:10,243 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9464, top5_acc: 0.9948 +2025-07-02 08:27:47,452 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:35, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 08:28:02,908 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1146, loss: 0.1146 +2025-07-02 08:28:18,563 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:07:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1019, loss: 0.1019 +2025-07-02 08:28:34,346 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 08:28:50,146 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1477, loss: 0.1477 +2025-07-02 08:29:05,837 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1262, loss: 0.1262 +2025-07-02 08:29:21,706 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1334, loss: 0.1334 +2025-07-02 08:29:37,386 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1713, loss: 0.1713 +2025-07-02 08:29:53,000 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 08:30:08,552 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1661, loss: 0.1661 +2025-07-02 08:30:24,114 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 08:30:36,811 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 08:30:59,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:30:59,722 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9941 +2025-07-02 08:30:59,723 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9338, top5_acc: 0.9941 +2025-07-02 08:31:36,854 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:24, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 08:31:52,554 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.1012, loss: 0.1012 +2025-07-02 08:32:08,237 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1141, loss: 0.1141 +2025-07-02 08:32:23,978 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1358, loss: 0.1358 +2025-07-02 08:32:39,759 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1312, loss: 0.1312 +2025-07-02 08:32:55,481 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:03:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 08:33:10,993 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1170, loss: 0.1170 +2025-07-02 08:33:26,401 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1396, loss: 0.1396 +2025-07-02 08:33:41,882 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 08:33:57,394 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1269, loss: 0.1269 +2025-07-02 08:34:12,905 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 08:34:25,561 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 08:34:48,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:34:48,800 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9941 +2025-07-02 08:34:48,800 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9412, top5_acc: 0.9941 +2025-07-02 08:35:26,492 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:12, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1149, loss: 0.1149 +2025-07-02 08:35:42,048 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1224, loss: 0.1224 +2025-07-02 08:35:57,702 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1006, loss: 0.1006 +2025-07-02 08:36:13,277 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0829, loss: 0.0829 +2025-07-02 08:36:29,125 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1346, loss: 0.1346 +2025-07-02 08:36:44,745 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1395, loss: 0.1395 +2025-07-02 08:37:00,365 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1473, loss: 0.1473 +2025-07-02 08:37:15,970 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1287, loss: 0.1287 +2025-07-02 08:37:31,410 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:59:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0953, loss: 0.0953 +2025-07-02 08:37:46,832 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1246, loss: 0.1246 +2025-07-02 08:38:02,231 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 08:38:14,726 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 08:38:37,854 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:38:37,865 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9937 +2025-07-02 08:38:37,865 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9275, top5_acc: 0.9937 +2025-07-02 08:39:15,285 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:58:01, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1119, loss: 0.1119 +2025-07-02 08:39:30,826 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0959, loss: 0.0959 +2025-07-02 08:39:46,385 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1134, loss: 0.1134 +2025-07-02 08:40:01,969 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 08:40:17,519 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 08:40:33,115 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1364, loss: 0.1364 +2025-07-02 08:40:48,782 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1758, loss: 0.1758 +2025-07-02 08:41:04,398 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 08:41:19,936 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0902, loss: 0.0902 +2025-07-02 08:41:35,479 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1235, loss: 0.1235 +2025-07-02 08:41:50,980 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0987, loss: 0.0987 +2025-07-02 08:42:03,602 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 08:42:26,988 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:42:26,998 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9948 +2025-07-02 08:42:26,998 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9408, top5_acc: 0.9948 +2025-07-02 08:43:04,725 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:50, time: 0.377, data_time: 0.214, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 08:43:20,401 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1180, loss: 0.1180 +2025-07-02 08:43:35,965 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1164, loss: 0.1164 +2025-07-02 08:43:51,547 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:54:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1146, loss: 0.1146 +2025-07-02 08:44:07,167 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 08:44:22,703 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1117, loss: 0.1117 +2025-07-02 08:44:38,256 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 08:44:53,772 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 08:45:09,321 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1043, loss: 0.1043 +2025-07-02 08:45:24,871 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 08:45:40,461 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0905, loss: 0.0905 +2025-07-02 08:45:53,122 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 08:46:16,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:46:16,114 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9945 +2025-07-02 08:46:16,114 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9353, top5_acc: 0.9945 +2025-07-02 08:46:53,610 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:38, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 08:47:09,236 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0887, loss: 0.0887 +2025-07-02 08:47:24,807 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.0970, loss: 0.0970 +2025-07-02 08:47:40,418 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0937, loss: 0.0937 +2025-07-02 08:47:56,206 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0917, loss: 0.0917 +2025-07-02 08:48:11,845 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 08:48:27,421 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1143, loss: 0.1143 +2025-07-02 08:48:42,919 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1004, loss: 0.1004 +2025-07-02 08:48:58,370 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 08:49:13,804 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 08:49:29,271 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 08:49:41,905 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 08:50:05,180 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:50:05,190 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9959 +2025-07-02 08:50:05,191 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9360, top5_acc: 0.9959 +2025-07-02 08:50:42,523 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:27, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1025, loss: 0.1025 +2025-07-02 08:50:58,235 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.0983, loss: 0.0983 +2025-07-02 08:51:13,805 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0743, loss: 0.0743 +2025-07-02 08:51:29,583 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0838, loss: 0.0838 +2025-07-02 08:51:45,464 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:21, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1123, loss: 0.1123 +2025-07-02 08:52:01,097 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9962, loss_cls: 0.0853, loss: 0.0853 +2025-07-02 08:52:16,691 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0652, loss: 0.0652 +2025-07-02 08:52:32,250 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0913, loss: 0.0913 +2025-07-02 08:52:47,817 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0849, loss: 0.0849 +2025-07-02 08:53:03,350 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0815, loss: 0.0815 +2025-07-02 08:53:18,868 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 08:53:31,531 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 08:53:54,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:53:54,426 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9945 +2025-07-02 08:53:54,426 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9353, top5_acc: 0.9945 +2025-07-02 08:54:32,022 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:15, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0757, loss: 0.0757 +2025-07-02 08:54:47,621 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1004, loss: 0.1004 +2025-07-02 08:55:03,211 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 08:55:18,884 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 08:55:34,546 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0814, loss: 0.0814 +2025-07-02 08:55:50,101 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 08:56:05,557 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1359, loss: 0.1359 +2025-07-02 08:56:21,046 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1021, loss: 0.1021 +2025-07-02 08:56:36,608 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0905, loss: 0.0905 +2025-07-02 08:56:52,184 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0973, loss: 0.0973 +2025-07-02 08:57:07,705 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 08:57:20,290 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 08:57:43,256 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:57:43,266 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9952 +2025-07-02 08:57:43,267 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9412, top5_acc: 0.9952 +2025-07-02 08:58:20,579 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:04, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 08:58:36,015 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 08:58:51,471 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0817, loss: 0.0817 +2025-07-02 08:59:07,171 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0835, loss: 0.0835 +2025-07-02 08:59:22,865 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0820, loss: 0.0820 +2025-07-02 08:59:38,422 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1033, loss: 0.1033 +2025-07-02 08:59:53,928 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 09:00:09,430 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0754, loss: 0.0754 +2025-07-02 09:00:24,944 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0801, loss: 0.0801 +2025-07-02 09:00:40,499 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 09:00:56,046 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 09:01:08,644 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 09:01:31,812 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:01:31,822 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9956 +2025-07-02 09:01:31,822 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9408, top5_acc: 0.9956 +2025-07-02 09:02:09,568 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:52, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0666, loss: 0.0666 +2025-07-02 09:02:25,177 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0865, loss: 0.0865 +2025-07-02 09:02:40,761 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 09:02:56,565 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1132, loss: 0.1132 +2025-07-02 09:03:12,217 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0915, loss: 0.0915 +2025-07-02 09:03:27,890 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 09:03:43,465 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 09:03:59,012 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0844, loss: 0.0844 +2025-07-02 09:04:14,576 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 09:04:30,125 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.0969, loss: 0.0969 +2025-07-02 09:04:45,674 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1163, loss: 0.1163 +2025-07-02 09:04:58,358 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 09:05:21,318 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:05:21,328 - pyskl - INFO - +top1_acc 0.9456 +top5_acc 0.9956 +2025-07-02 09:05:21,329 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9456, top5_acc: 0.9956 +2025-07-02 09:05:58,474 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:41, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 09:06:14,081 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 09:06:29,763 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 09:06:45,398 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0954, loss: 0.0954 +2025-07-02 09:07:01,224 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0713, loss: 0.0713 +2025-07-02 09:07:16,878 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0881, loss: 0.0881 +2025-07-02 09:07:32,485 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:34:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 09:07:48,061 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0886, loss: 0.0886 +2025-07-02 09:08:03,673 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 09:08:19,206 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 09:08:34,721 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0842, loss: 0.0842 +2025-07-02 09:08:47,399 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 09:09:10,386 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:09:10,396 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9963 +2025-07-02 09:09:10,400 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_110.pth was removed +2025-07-02 09:09:10,513 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 09:09:10,514 - pyskl - INFO - Best top1_acc is 0.9545 at 121 epoch. +2025-07-02 09:09:10,515 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9545, top5_acc: 0.9963 +2025-07-02 09:09:47,899 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:29, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 09:10:03,462 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 09:10:19,405 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 0.0998, loss: 0.0998 +2025-07-02 09:10:35,090 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0674, loss: 0.0674 +2025-07-02 09:10:50,668 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 09:11:06,172 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0690, loss: 0.0690 +2025-07-02 09:11:21,628 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 09:11:37,197 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 09:11:52,654 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0601, loss: 0.0601 +2025-07-02 09:12:08,135 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:30:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.0817, loss: 0.0817 +2025-07-02 09:12:23,570 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 09:12:36,136 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 09:12:59,249 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:12:59,260 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9937 +2025-07-02 09:12:59,260 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9430, top5_acc: 0.9937 +2025-07-02 09:13:36,728 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:18, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 09:13:52,260 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:29:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 09:14:07,775 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 09:14:23,425 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 09:14:38,963 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9969, loss_cls: 0.0868, loss: 0.0868 +2025-07-02 09:14:54,463 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 09:15:09,933 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 09:15:25,412 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 09:15:40,852 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 09:15:56,360 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 09:16:11,974 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 09:16:24,939 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 09:16:47,910 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:16:47,919 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9952 +2025-07-02 09:16:47,920 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9438, top5_acc: 0.9952 +2025-07-02 09:17:24,948 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:06, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0718, loss: 0.0718 +2025-07-02 09:17:40,923 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:49, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 09:17:56,685 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 09:18:12,472 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 09:18:28,308 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:25:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 09:18:43,933 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 09:18:59,511 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0743, loss: 0.0743 +2025-07-02 09:19:15,022 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0743, loss: 0.0743 +2025-07-02 09:19:30,537 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 09:19:46,030 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 09:20:01,507 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 09:20:14,167 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 09:20:37,297 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:20:37,307 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9945 +2025-07-02 09:20:37,308 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9397, top5_acc: 0.9945 +2025-07-02 09:21:14,793 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:54, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0580, loss: 0.0580 +2025-07-02 09:21:30,416 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0693, loss: 0.0693 +2025-07-02 09:21:46,136 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0608, loss: 0.0608 +2025-07-02 09:22:01,697 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 09:22:17,218 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 09:22:32,724 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 09:22:48,244 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0806, loss: 0.0806 +2025-07-02 09:23:03,772 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0854, loss: 0.0854 +2025-07-02 09:23:19,285 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 09:23:34,794 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0575, loss: 0.0575 +2025-07-02 09:23:50,333 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 09:24:02,958 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 09:24:26,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:24:26,018 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9945 +2025-07-02 09:24:26,019 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9434, top5_acc: 0.9945 +2025-07-02 09:25:03,340 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:42, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 09:25:18,907 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 09:25:34,510 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 09:25:50,048 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 09:26:05,525 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 09:26:21,042 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 09:26:36,503 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0523, loss: 0.0523 +2025-07-02 09:26:51,984 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 09:27:07,455 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 09:27:23,005 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 09:27:38,542 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:27:51,253 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 09:28:14,360 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:28:14,371 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9948 +2025-07-02 09:28:14,371 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9460, top5_acc: 0.9948 +2025-07-02 09:28:51,430 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:31, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 09:29:06,998 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 09:29:22,471 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 09:29:38,096 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 09:29:53,744 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0550, loss: 0.0550 +2025-07-02 09:30:09,507 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 09:30:25,277 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0567, loss: 0.0567 +2025-07-02 09:30:40,934 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 +2025-07-02 09:30:56,581 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 09:31:12,198 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 09:31:27,850 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 09:31:40,600 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 09:32:03,698 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:32:03,708 - pyskl - INFO - +top1_acc 0.9475 +top5_acc 0.9948 +2025-07-02 09:32:03,709 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9475, top5_acc: 0.9948 +2025-07-02 09:32:40,998 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:19, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 09:32:56,685 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:13:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0559, loss: 0.0559 +2025-07-02 09:33:12,364 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0604, loss: 0.0604 +2025-07-02 09:33:28,162 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 09:33:44,073 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:13, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 09:33:59,630 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 09:34:15,108 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 09:34:30,589 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 09:34:46,050 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 09:35:01,557 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0604, loss: 0.0604 +2025-07-02 09:35:17,019 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 09:35:29,618 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 09:35:52,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:35:52,581 - pyskl - INFO - +top1_acc 0.9456 +top5_acc 0.9967 +2025-07-02 09:35:52,582 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9456, top5_acc: 0.9967 +2025-07-02 09:36:29,771 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:07, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 09:36:45,328 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 09:37:00,978 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:37:16,636 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 09:37:32,404 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:09:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 09:37:48,013 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 09:38:03,543 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 09:38:19,100 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 09:38:34,607 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 09:38:50,106 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 09:39:05,674 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 09:39:18,272 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 09:39:41,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:39:41,250 - pyskl - INFO - +top1_acc 0.9490 +top5_acc 0.9970 +2025-07-02 09:39:41,251 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9490, top5_acc: 0.9970 +2025-07-02 09:40:18,746 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:55, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 09:40:34,566 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 09:40:50,322 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 09:41:06,090 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 09:41:21,738 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 09:41:37,217 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 09:41:52,689 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 09:42:08,141 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:05:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 09:42:23,628 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 09:42:39,162 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 09:42:54,799 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 09:43:07,579 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 09:43:30,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:43:30,782 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9963 +2025-07-02 09:43:30,782 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9438, top5_acc: 0.9963 +2025-07-02 09:44:08,546 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:44, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 09:44:24,268 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 09:44:39,891 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 09:44:55,451 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 09:45:11,049 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0572, loss: 0.0572 +2025-07-02 09:45:26,586 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 09:45:42,176 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 09:45:57,772 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 09:46:13,294 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 09:46:28,843 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 09:46:44,391 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:01:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 09:46:57,046 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 09:47:20,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:47:20,197 - pyskl - INFO - +top1_acc 0.9479 +top5_acc 0.9956 +2025-07-02 09:47:20,197 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9479, top5_acc: 0.9956 +2025-07-02 09:47:57,578 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:32, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 09:48:13,099 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 09:48:28,821 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 09:48:44,612 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 09:49:00,450 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 09:49:16,256 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 09:49:31,901 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0738, loss: 0.0738 +2025-07-02 09:49:47,430 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 09:50:03,044 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 09:50:18,563 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 09:50:34,040 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 09:50:46,753 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 09:51:10,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:51:10,085 - pyskl - INFO - +top1_acc 0.9493 +top5_acc 0.9948 +2025-07-02 09:51:10,085 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9493, top5_acc: 0.9948 +2025-07-02 09:51:47,679 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:20, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 09:52:03,318 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 09:52:19,153 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 09:52:34,849 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0546, loss: 0.0546 +2025-07-02 09:52:50,577 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 09:53:06,190 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 09:53:21,751 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 09:53:37,300 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 09:53:52,860 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 09:54:08,426 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 09:54:24,008 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 09:54:36,661 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 09:54:59,714 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:54:59,724 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9963 +2025-07-02 09:54:59,728 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_121.pth was removed +2025-07-02 09:54:59,852 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 09:54:59,852 - pyskl - INFO - Best top1_acc is 0.9553 at 133 epoch. +2025-07-02 09:54:59,853 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9553, top5_acc: 0.9963 +2025-07-02 09:55:37,234 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:08, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 09:55:52,930 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:56:08,670 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 09:56:24,484 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 09:56:40,300 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 09:56:55,762 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 09:57:11,196 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:57:26,654 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 09:57:42,074 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 09:57:57,550 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 09:58:12,952 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 09:58:25,534 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 09:58:48,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:58:48,844 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9967 +2025-07-02 09:58:48,845 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9523, top5_acc: 0.9967 +2025-07-02 09:59:26,534 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:56, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 09:59:42,146 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 09:59:57,862 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 10:00:13,397 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 10:00:28,984 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0180, loss: 0.0180 +2025-07-02 10:00:44,463 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 10:01:00,077 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 10:01:15,632 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:49:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 10:01:31,191 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 10:01:46,761 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 10:02:02,249 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 10:02:14,863 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 10:02:37,995 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:02:38,006 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9963 +2025-07-02 10:02:38,007 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9508, top5_acc: 0.9963 +2025-07-02 10:03:15,558 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:44, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 10:03:31,146 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 10:03:46,858 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:04:02,520 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 10:04:18,369 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 10:04:33,990 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:04:49,618 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 10:05:05,211 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 10:05:20,819 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 10:05:36,444 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 10:05:51,928 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:45:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:06:04,507 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 10:06:27,524 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:06:27,534 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9963 +2025-07-02 10:06:27,534 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9523, top5_acc: 0.9963 +2025-07-02 10:07:04,712 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:32, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 10:07:20,366 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 10:07:36,367 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:44:00, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 10:07:51,895 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 10:08:07,677 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 10:08:23,468 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 10:08:39,057 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 10:08:54,617 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 10:09:10,127 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 10:09:25,734 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 10:09:41,227 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 10:09:53,784 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 10:10:16,832 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:10:16,843 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9963 +2025-07-02 10:10:16,843 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9534, top5_acc: 0.9963 +2025-07-02 10:10:54,104 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:20, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:11:09,701 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 10:11:25,472 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0245, loss: 0.0245 +2025-07-02 10:11:41,134 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0195, loss: 0.0195 +2025-07-02 10:11:56,752 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:12:12,419 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 10:12:28,007 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:12:43,549 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 10:12:59,121 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 10:13:14,670 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 10:13:30,213 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 10:13:42,832 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 10:14:05,940 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:14:05,950 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9956 +2025-07-02 10:14:05,951 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9541, top5_acc: 0.9956 +2025-07-02 10:14:43,805 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:09, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:14:59,382 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0227, loss: 0.0227 +2025-07-02 10:15:15,006 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 10:15:30,661 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:15:46,343 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 10:16:01,947 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 10:16:17,488 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:16:33,094 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:16:48,699 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 10:17:04,286 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0137, loss: 0.0137 +2025-07-02 10:17:19,958 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 10:17:32,631 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 10:17:55,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:17:55,684 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9948 +2025-07-02 10:17:55,685 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9523, top5_acc: 0.9948 +2025-07-02 10:18:33,415 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:57, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 10:18:48,990 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 10:19:04,585 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 10:19:20,278 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 10:19:35,942 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 10:19:51,502 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:20:07,006 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 10:20:22,535 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 10:20:38,066 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 10:20:53,610 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 10:21:09,177 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 10:21:21,822 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 10:21:45,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:21:45,151 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9952 +2025-07-02 10:21:45,155 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_133.pth was removed +2025-07-02 10:21:45,270 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-07-02 10:21:45,270 - pyskl - INFO - Best top1_acc is 0.9560 at 140 epoch. +2025-07-02 10:21:45,271 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9560, top5_acc: 0.9952 +2025-07-02 10:22:23,101 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:45, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0181, loss: 0.0181 +2025-07-02 10:22:38,627 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:22:54,519 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:12, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 10:23:10,292 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:23:26,043 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 10:23:41,670 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 10:23:57,182 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 10:24:12,705 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:24:28,202 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9981, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 10:24:43,707 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 10:24:59,210 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:29:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0159, loss: 0.0159 +2025-07-02 10:25:11,832 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 10:25:34,954 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:25:34,964 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9956 +2025-07-02 10:25:34,964 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9560, top5_acc: 0.9956 +2025-07-02 10:26:12,073 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:32, time: 0.371, data_time: 0.214, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 10:26:27,647 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 10:26:43,389 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:28:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 10:26:59,156 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 10:27:14,748 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 10:27:30,314 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 10:27:45,941 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 10:28:01,475 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 10:28:16,988 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0149, loss: 0.0149 +2025-07-02 10:28:32,470 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 10:28:47,982 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 10:29:00,710 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 10:29:23,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:29:23,721 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9959 +2025-07-02 10:29:23,721 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9538, top5_acc: 0.9959 +2025-07-02 10:30:01,173 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:20, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 10:30:16,767 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 10:30:32,368 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 10:30:48,030 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:31:03,726 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0129, loss: 0.0129 +2025-07-02 10:31:19,496 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 10:31:34,999 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:31:50,568 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:32:06,142 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 10:32:21,764 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 10:32:37,440 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:32:50,142 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 10:33:13,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:33:13,251 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9959 +2025-07-02 10:33:13,251 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9560, top5_acc: 0.9959 +2025-07-02 10:33:50,877 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:08, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:34:06,524 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:34:22,356 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:34:38,322 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:19, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 10:34:53,947 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 10:35:09,608 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0176, loss: 0.0176 +2025-07-02 10:35:25,076 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 10:35:40,573 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 10:35:56,027 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 10:36:11,579 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0105, loss: 0.0105 +2025-07-02 10:36:27,090 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:36:39,737 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 10:37:02,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:37:02,621 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9959 +2025-07-02 10:37:02,622 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9549, top5_acc: 0.9959 +2025-07-02 10:37:39,671 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:56, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 10:37:55,286 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 10:38:11,119 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:38:26,854 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 10:38:42,641 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:51, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 10:38:58,398 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 10:39:13,947 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 10:39:29,488 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:39:45,016 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 10:40:00,544 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 10:40:16,044 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:40:28,670 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 10:40:51,819 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:40:51,830 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9963 +2025-07-02 10:40:51,830 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9545, top5_acc: 0.9963 +2025-07-02 10:41:29,566 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:44, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:41:45,454 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:28, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0189, loss: 0.0189 +2025-07-02 10:42:01,194 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 10:42:17,047 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:55, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 10:42:32,579 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:42:48,377 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 10:43:04,010 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:43:19,592 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 10:43:35,182 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:43:50,736 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 10:44:06,223 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:44:18,901 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 10:44:41,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:44:42,003 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9963 +2025-07-02 10:44:42,003 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9549, top5_acc: 0.9963 +2025-07-02 10:45:19,406 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:32, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0195, loss: 0.0195 +2025-07-02 10:45:35,068 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 10:45:50,766 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:46:06,366 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 10:46:22,047 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 10:46:37,675 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 10:46:53,154 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0169, loss: 0.0169 +2025-07-02 10:47:08,699 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0187, loss: 0.0187 +2025-07-02 10:47:24,211 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 10:47:39,733 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 10:47:55,259 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:48:07,944 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 10:48:30,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:48:30,981 - pyskl - INFO - +top1_acc 0.9586 +top5_acc 0.9956 +2025-07-02 10:48:30,985 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_140.pth was removed +2025-07-02 10:48:31,095 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. +2025-07-02 10:48:31,096 - pyskl - INFO - Best top1_acc is 0.9586 at 147 epoch. +2025-07-02 10:48:31,096 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9586, top5_acc: 0.9956 +2025-07-02 10:49:08,281 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:20, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 10:49:23,843 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 10:49:39,611 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 10:49:55,329 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:50:10,907 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0127, loss: 0.0127 +2025-07-02 10:50:26,571 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0168, loss: 0.0168 +2025-07-02 10:50:42,237 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:50:57,862 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 10:51:13,458 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:51:29,005 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 10:51:44,583 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0247, loss: 0.0247 +2025-07-02 10:51:57,235 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 10:52:20,276 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:52:20,290 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9956 +2025-07-02 10:52:20,291 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9549, top5_acc: 0.9956 +2025-07-02 10:52:58,000 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:08, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0182, loss: 0.0182 +2025-07-02 10:53:13,682 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 10:53:29,252 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:53:44,872 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 10:54:00,340 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 10:54:16,028 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:54:31,550 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:54:47,009 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:55:02,438 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 10:55:18,019 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:55:33,557 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 10:55:46,247 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 10:56:09,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:56:09,257 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9952 +2025-07-02 10:56:09,258 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9549, top5_acc: 0.9952 +2025-07-02 10:56:46,490 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:55, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 10:57:02,173 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 10:57:17,869 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 10:57:33,803 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 10:57:49,597 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 10:58:05,458 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 10:58:20,972 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:58:36,520 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 10:58:52,069 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:59:07,779 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:59:23,356 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0196, loss: 0.0196 +2025-07-02 10:59:36,046 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 10:59:59,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:59:59,582 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9956 +2025-07-02 10:59:59,582 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9567, top5_acc: 0.9956 +2025-07-02 11:00:06,208 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 11:01:33,120 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 11:01:33,120 - pyskl - INFO - top1_acc: 0.9604 +2025-07-02 11:01:33,120 - pyskl - INFO - top5_acc: 0.9956 +2025-07-02 11:01:33,121 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/j_1/best_top1_acc_epoch_147.pth +2025-07-02 11:02:59,172 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 11:02:59,172 - pyskl - INFO - top1_acc: 0.9604 +2025-07-02 11:02:59,172 - pyskl - INFO - top5_acc: 0.9959 diff --git a/pku_mmd_xsub/j_1/20250702_013020.log.json b/pku_mmd_xsub/j_1/20250702_013020.log.json new file mode 100644 index 0000000000000000000000000000000000000000..5135399a0bad09dc945a443a3eae4eb2527f726c --- /dev/null +++ b/pku_mmd_xsub/j_1/20250702_013020.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.10.1\nOpenCV: 4.6.0\nMMCV: 1.6.0\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.2\npyskl: 0.1.0+", "seed": 437096933, "config_name": "j_1.py", "work_dir": "j_1", "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.025, "memory": 3565, "data_time": 0.21149, "top1_acc": 0.06562, "top5_acc": 0.23188, "loss_cls": 4.28395, "loss": 4.28395, "time": 0.36611} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 0.025, "memory": 3565, "data_time": 0.00015, "top1_acc": 0.08562, "top5_acc": 0.31938, "loss_cls": 4.08953, "loss": 4.08953, "time": 0.14931} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 0.025, "memory": 3565, "data_time": 0.00015, "top1_acc": 0.11, "top5_acc": 0.40875, "loss_cls": 3.80796, "loss": 3.80796, "time": 0.14979} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 0.025, "memory": 3565, "data_time": 0.00016, "top1_acc": 0.16688, "top5_acc": 0.53375, "loss_cls": 3.46291, "loss": 3.46291, "time": 0.14892} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 0.025, "memory": 3565, "data_time": 0.00018, "top1_acc": 0.22125, "top5_acc": 0.635, "loss_cls": 3.18303, "loss": 3.18303, "time": 0.14857} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 0.025, "memory": 3565, "data_time": 0.00019, "top1_acc": 0.24562, 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"top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.01838, "loss": 0.01838, "time": 0.15428} +{"mode": "train", "epoch": 149, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02951, "loss": 0.02951, "time": 0.1558} +{"mode": "train", "epoch": 149, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02019, "loss": 0.02019, "time": 0.15538} +{"mode": "val", "epoch": 149, "iter": 169, "lr": 0.0, "top1_acc": 0.95488, "top5_acc": 0.99519} +{"mode": "train", "epoch": 150, "iter": 100, "lr": 0.0, "memory": 3566, "data_time": 0.21335, "top1_acc": 0.99625, "top5_acc": 0.99938, "loss_cls": 0.02688, "loss": 0.02688, "time": 0.37229} +{"mode": "train", "epoch": 150, "iter": 200, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02962, "loss": 0.02962, "time": 0.15682} +{"mode": "train", "epoch": 150, "iter": 300, "lr": 0.0, "memory": 3566, "data_time": 0.00017, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.03277, "loss": 0.03277, "time": 0.15696} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02218, "loss": 0.02218, "time": 0.15933} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99375, "top5_acc": 0.99938, "loss_cls": 0.02695, "loss": 0.02695, "time": 0.15794} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99062, "top5_acc": 0.99938, "loss_cls": 0.045, "loss": 0.045, "time": 0.15861} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.0278, "loss": 0.0278, "time": 0.15514} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02279, "loss": 0.02279, "time": 0.15547} +{"mode": "train", "epoch": 150, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99438, "top5_acc": 0.99875, "loss_cls": 0.03223, "loss": 0.03223, "time": 0.15549} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02422, "loss": 0.02422, "time": 0.1571} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00015, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.01959, "loss": 0.01959, "time": 0.15576} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.95673, "top5_acc": 0.99556} diff --git a/pku_mmd_xsub/j_1/best_pred.pkl b/pku_mmd_xsub/j_1/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..e6b783a76a16ed2cc4ef5244dea9db770d5600a0 --- /dev/null +++ b/pku_mmd_xsub/j_1/best_pred.pkl @@ -0,0 +1,3 @@ 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gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/j_2/20250702_013047.log b/pku_mmd_xsub/j_2/20250702_013047.log new file mode 100644 index 0000000000000000000000000000000000000000..b0f16173b6a0d861cdba0a6de740ca287f773e48 --- /dev/null +++ b/pku_mmd_xsub/j_2/20250702_013047.log @@ -0,0 +1,2823 @@ +2025-07-02 01:30:47,434 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 01:30:47,724 - pyskl - INFO - Config: modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/j_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 01:30:47,725 - pyskl - INFO - Set random seed to 716575259, deterministic: False +2025-07-02 01:30:51,403 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 01:30:57,643 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 01:30:57,648 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2 +2025-07-02 01:30:57,648 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 01:30:57,648 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 01:30:57,648 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2 by HardDiskBackend. +2025-07-02 01:31:34,557 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 18:06:14, time: 0.369, data_time: 0.214, memory: 3565, top1_acc: 0.0712, top5_acc: 0.2637, loss_cls: 4.2472, loss: 4.2472 +2025-07-02 01:31:49,425 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:41:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1256, top5_acc: 0.4419, loss_cls: 3.7941, loss: 3.7941 +2025-07-02 01:32:04,265 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:52:48, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.2037, top5_acc: 0.5781, loss_cls: 3.3524, loss: 3.3524 +2025-07-02 01:32:19,127 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:58:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.2137, top5_acc: 0.6631, loss_cls: 3.1182, loss: 3.1182 +2025-07-02 01:32:34,052 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:26:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.3019, top5_acc: 0.7538, loss_cls: 2.7911, loss: 2.7911 +2025-07-02 01:32:48,792 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:03:38, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.3212, top5_acc: 0.7625, loss_cls: 2.7235, loss: 2.7235 +2025-07-02 01:33:03,703 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:48:12, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4019, top5_acc: 0.8344, loss_cls: 2.4167, loss: 2.4167 +2025-07-02 01:33:18,681 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:36:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4325, top5_acc: 0.8588, loss_cls: 2.2960, loss: 2.2960 +2025-07-02 01:33:33,589 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:27:39, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4738, top5_acc: 0.8775, loss_cls: 2.1760, loss: 2.1760 +2025-07-02 01:33:48,508 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:20:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4919, top5_acc: 0.8944, loss_cls: 2.0704, loss: 2.0704 +2025-07-02 01:34:03,486 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:14:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5312, top5_acc: 0.9044, loss_cls: 1.9338, loss: 1.9338 +2025-07-02 01:34:15,783 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 01:34:38,765 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:34:38,776 - pyskl - INFO - +top1_acc 0.5226 +top5_acc 0.9527 +2025-07-02 01:34:38,911 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 01:34:38,911 - pyskl - INFO - Best top1_acc is 0.5226 at 1 epoch. +2025-07-02 01:34:38,912 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5226, top5_acc: 0.9527 +2025-07-02 01:35:15,761 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:29:24, time: 0.368, data_time: 0.219, memory: 3565, top1_acc: 0.5625, top5_acc: 0.9187, loss_cls: 1.8343, loss: 1.8343 +2025-07-02 01:35:30,676 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:23:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.5863, top5_acc: 0.9306, loss_cls: 1.7459, loss: 1.7459 +2025-07-02 01:35:45,523 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:18:47, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.6050, top5_acc: 0.9337, loss_cls: 1.6861, loss: 1.6861 +2025-07-02 01:36:00,625 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:14:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6156, top5_acc: 0.9319, loss_cls: 1.6256, loss: 1.6256 +2025-07-02 01:36:15,950 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:11:43, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6306, top5_acc: 0.9187, loss_cls: 1.6780, loss: 1.6780 +2025-07-02 01:36:30,989 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:08:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6544, top5_acc: 0.9381, loss_cls: 1.5923, loss: 1.5923 +2025-07-02 01:36:46,044 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:05:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6519, top5_acc: 0.9500, loss_cls: 1.4673, loss: 1.4673 +2025-07-02 01:37:01,157 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:02:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6994, top5_acc: 0.9394, loss_cls: 1.4320, loss: 1.4320 +2025-07-02 01:37:16,112 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:00:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6863, top5_acc: 0.9513, loss_cls: 1.4259, loss: 1.4259 +2025-07-02 01:37:31,056 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:58:03, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6813, top5_acc: 0.9381, loss_cls: 1.4745, loss: 1.4745 +2025-07-02 01:37:46,033 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:55:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7137, top5_acc: 0.9556, loss_cls: 1.3244, loss: 1.3244 +2025-07-02 01:37:58,361 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 01:38:21,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:38:21,353 - pyskl - INFO - +top1_acc 0.6113 +top5_acc 0.9604 +2025-07-02 01:38:21,357 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_1.pth was removed +2025-07-02 01:38:21,474 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 01:38:21,475 - pyskl - INFO - Best top1_acc is 0.6113 at 2 epoch. +2025-07-02 01:38:21,475 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.6113, top5_acc: 0.9604 +2025-07-02 01:38:58,274 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:04:29, time: 0.368, data_time: 0.219, memory: 3565, top1_acc: 0.7137, top5_acc: 0.9537, loss_cls: 1.3388, loss: 1.3388 +2025-07-02 01:39:13,039 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:02:01, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.7194, top5_acc: 0.9587, loss_cls: 1.3091, loss: 1.3091 +2025-07-02 01:39:27,974 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 7:59:55, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7231, top5_acc: 0.9606, loss_cls: 1.2997, loss: 1.2997 +2025-07-02 01:39:42,952 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:58:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7288, top5_acc: 0.9625, loss_cls: 1.2752, loss: 1.2752 +2025-07-02 01:39:58,121 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:56:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7362, top5_acc: 0.9606, loss_cls: 1.2214, loss: 1.2214 +2025-07-02 01:40:13,166 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:54:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7250, top5_acc: 0.9487, loss_cls: 1.3415, loss: 1.3415 +2025-07-02 01:40:28,453 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:53:25, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7169, top5_acc: 0.9581, loss_cls: 1.2552, loss: 1.2552 +2025-07-02 01:40:43,547 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:51:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7312, top5_acc: 0.9525, loss_cls: 1.2908, loss: 1.2908 +2025-07-02 01:40:58,718 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:50:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7419, top5_acc: 0.9581, loss_cls: 1.2469, loss: 1.2469 +2025-07-02 01:41:13,889 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:49:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7581, top5_acc: 0.9650, loss_cls: 1.2236, loss: 1.2236 +2025-07-02 01:41:28,852 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:48:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7294, top5_acc: 0.9506, loss_cls: 1.2543, loss: 1.2543 +2025-07-02 01:41:41,108 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 01:42:03,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:42:03,740 - pyskl - INFO - +top1_acc 0.7511 +top5_acc 0.9815 +2025-07-02 01:42:03,743 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_2.pth was removed +2025-07-02 01:42:03,884 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 01:42:03,884 - pyskl - INFO - Best top1_acc is 0.7511 at 3 epoch. +2025-07-02 01:42:03,885 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7511, top5_acc: 0.9815 +2025-07-02 01:42:40,592 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:53:52, time: 0.367, data_time: 0.218, memory: 3565, top1_acc: 0.7525, top5_acc: 0.9700, loss_cls: 1.1322, loss: 1.1322 +2025-07-02 01:42:55,587 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:52:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7550, top5_acc: 0.9675, loss_cls: 1.1325, loss: 1.1325 +2025-07-02 01:43:10,561 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:51:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7669, top5_acc: 0.9706, loss_cls: 1.0929, loss: 1.0929 +2025-07-02 01:43:25,665 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:49:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7644, top5_acc: 0.9669, loss_cls: 1.1098, loss: 1.1098 +2025-07-02 01:43:40,444 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:48:35, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9669, loss_cls: 1.1217, loss: 1.1217 +2025-07-02 01:43:55,384 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:47:23, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7594, top5_acc: 0.9700, loss_cls: 1.1268, loss: 1.1268 +2025-07-02 01:44:10,473 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:46:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7694, top5_acc: 0.9681, loss_cls: 1.0827, loss: 1.0827 +2025-07-02 01:44:25,573 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:45:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7700, top5_acc: 0.9700, loss_cls: 1.0748, loss: 1.0748 +2025-07-02 01:44:40,863 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:44:27, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7781, top5_acc: 0.9669, loss_cls: 1.0826, loss: 1.0826 +2025-07-02 01:44:55,889 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:43:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7662, top5_acc: 0.9669, loss_cls: 1.1334, loss: 1.1334 +2025-07-02 01:45:11,021 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:42:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7600, top5_acc: 0.9563, loss_cls: 1.1551, loss: 1.1551 +2025-07-02 01:45:23,435 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 01:45:45,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:45:45,841 - pyskl - INFO - +top1_acc 0.7456 +top5_acc 0.9678 +2025-07-02 01:45:45,842 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7456, top5_acc: 0.9678 +2025-07-02 01:46:22,527 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:46:49, time: 0.367, data_time: 0.217, memory: 3565, top1_acc: 0.7712, top5_acc: 0.9700, loss_cls: 1.0670, loss: 1.0670 +2025-07-02 01:46:37,404 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:45:43, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7850, top5_acc: 0.9681, loss_cls: 1.0614, loss: 1.0614 +2025-07-02 01:46:52,259 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:44:38, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7744, top5_acc: 0.9700, loss_cls: 1.0596, loss: 1.0596 +2025-07-02 01:47:07,320 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:43:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7844, top5_acc: 0.9719, loss_cls: 1.0381, loss: 1.0381 +2025-07-02 01:47:22,352 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:42:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9769, loss_cls: 0.9400, loss: 0.9400 +2025-07-02 01:47:37,392 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:41:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7812, top5_acc: 0.9738, loss_cls: 1.0175, loss: 1.0175 +2025-07-02 01:47:52,192 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:40:54, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.7688, top5_acc: 0.9706, loss_cls: 1.0601, loss: 1.0601 +2025-07-02 01:48:07,132 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:40:01, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9675, loss_cls: 1.0220, loss: 1.0220 +2025-07-02 01:48:22,195 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:39:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9712, loss_cls: 1.0362, loss: 1.0362 +2025-07-02 01:48:37,245 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:38:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8050, top5_acc: 0.9706, loss_cls: 0.9980, loss: 0.9980 +2025-07-02 01:48:52,256 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:37:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8069, top5_acc: 0.9681, loss_cls: 0.9634, loss: 0.9634 +2025-07-02 01:49:04,416 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 01:49:26,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:49:26,896 - pyskl - INFO - +top1_acc 0.7955 +top5_acc 0.9867 +2025-07-02 01:49:26,900 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_3.pth was removed +2025-07-02 01:49:27,019 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 01:49:27,020 - pyskl - INFO - Best top1_acc is 0.7955 at 5 epoch. +2025-07-02 01:49:27,021 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.7955, top5_acc: 0.9867 +2025-07-02 01:50:03,231 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:40:45, time: 0.362, data_time: 0.214, memory: 3565, top1_acc: 0.7950, top5_acc: 0.9744, loss_cls: 0.9627, loss: 0.9627 +2025-07-02 01:50:18,241 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:39:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9688, loss_cls: 1.0068, loss: 1.0068 +2025-07-02 01:50:33,106 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:39:03, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9794, loss_cls: 0.8927, loss: 0.8927 +2025-07-02 01:50:48,113 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:38:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7794, top5_acc: 0.9681, loss_cls: 1.0033, loss: 1.0033 +2025-07-02 01:51:02,954 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:37:25, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9781, loss_cls: 0.9487, loss: 0.9487 +2025-07-02 01:51:17,769 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:36:35, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 0.9101, loss: 0.9101 +2025-07-02 01:51:32,724 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:35:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8000, top5_acc: 0.9688, loss_cls: 1.0019, loss: 1.0019 +2025-07-02 01:51:47,577 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:35:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9725, loss_cls: 0.9400, loss: 0.9400 +2025-07-02 01:52:02,469 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:34:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7963, top5_acc: 0.9781, loss_cls: 0.9755, loss: 0.9755 +2025-07-02 01:52:17,336 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:33:32, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9712, loss_cls: 0.9755, loss: 0.9755 +2025-07-02 01:52:32,139 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:32:46, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9750, loss_cls: 0.9213, loss: 0.9213 +2025-07-02 01:52:44,308 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 01:53:06,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:53:06,803 - pyskl - INFO - +top1_acc 0.7922 +top5_acc 0.9856 +2025-07-02 01:53:06,803 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.7922, top5_acc: 0.9856 +2025-07-02 01:53:43,234 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:35:26, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9812, loss_cls: 0.8768, loss: 0.8768 +2025-07-02 01:53:58,095 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:34:40, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9719, loss_cls: 0.9039, loss: 0.9039 +2025-07-02 01:54:12,916 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:33:55, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9812, loss_cls: 0.8965, loss: 0.8965 +2025-07-02 01:54:27,788 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:33:11, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9744, loss_cls: 0.8992, loss: 0.8992 +2025-07-02 01:54:42,796 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:32:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8063, top5_acc: 0.9688, loss_cls: 0.9407, loss: 0.9407 +2025-07-02 01:54:58,100 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:31:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9700, loss_cls: 0.9432, loss: 0.9432 +2025-07-02 01:55:13,174 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:31:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9756, loss_cls: 0.9559, loss: 0.9559 +2025-07-02 01:55:28,318 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:30:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8150, top5_acc: 0.9738, loss_cls: 0.9193, loss: 0.9193 +2025-07-02 01:55:43,398 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:30:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8256, top5_acc: 0.9762, loss_cls: 0.8673, loss: 0.8673 +2025-07-02 01:55:58,500 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:29:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9756, loss_cls: 0.8617, loss: 0.8617 +2025-07-02 01:56:13,658 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:29:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9712, loss_cls: 0.9223, loss: 0.9223 +2025-07-02 01:56:26,058 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 01:56:48,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:56:48,464 - pyskl - INFO - +top1_acc 0.8173 +top5_acc 0.9815 +2025-07-02 01:56:48,468 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_5.pth was removed +2025-07-02 01:56:48,584 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 01:56:48,584 - pyskl - INFO - Best top1_acc is 0.8173 at 7 epoch. +2025-07-02 01:56:48,585 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8173, top5_acc: 0.9815 +2025-07-02 01:57:25,123 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:31:17, time: 0.365, data_time: 0.216, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9731, loss_cls: 0.8644, loss: 0.8644 +2025-07-02 01:57:40,137 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:30:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9825, loss_cls: 0.8844, loss: 0.8844 +2025-07-02 01:57:55,174 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:30:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9806, loss_cls: 0.8043, loss: 0.8043 +2025-07-02 01:58:10,464 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:29:32, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9850, loss_cls: 0.8782, loss: 0.8782 +2025-07-02 01:58:25,649 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:28:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 0.8673, loss: 0.8673 +2025-07-02 01:58:40,957 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:28:29, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9656, loss_cls: 0.9267, loss: 0.9267 +2025-07-02 01:58:56,134 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:27:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 0.8274, loss: 0.8274 +2025-07-02 01:59:11,187 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:27:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9706, loss_cls: 0.8632, loss: 0.8632 +2025-07-02 01:59:26,402 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:26:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9800, loss_cls: 0.8277, loss: 0.8277 +2025-07-02 01:59:41,447 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:26:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9738, loss_cls: 0.9295, loss: 0.9295 +2025-07-02 01:59:56,509 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:25:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9794, loss_cls: 0.9061, loss: 0.9061 +2025-07-02 02:00:08,796 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 02:00:31,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:00:31,061 - pyskl - INFO - +top1_acc 0.8343 +top5_acc 0.9834 +2025-07-02 02:00:31,064 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_7.pth was removed +2025-07-02 02:00:31,174 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 02:00:31,174 - pyskl - INFO - Best top1_acc is 0.8343 at 8 epoch. +2025-07-02 02:00:31,175 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8343, top5_acc: 0.9834 +2025-07-02 02:01:07,385 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:27:34, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 0.8524, loss: 0.8524 +2025-07-02 02:01:22,202 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:26:57, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9744, loss_cls: 0.8264, loss: 0.8264 +2025-07-02 02:01:37,090 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:26:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9794, loss_cls: 0.8569, loss: 0.8569 +2025-07-02 02:01:52,034 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:25:46, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9694, loss_cls: 0.8921, loss: 0.8921 +2025-07-02 02:02:06,858 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:25:10, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9812, loss_cls: 0.8023, loss: 0.8023 +2025-07-02 02:02:21,697 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:24:34, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9688, loss_cls: 0.8859, loss: 0.8859 +2025-07-02 02:02:36,585 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:24:00, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9731, loss_cls: 0.8092, loss: 0.8092 +2025-07-02 02:02:51,619 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:23:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 0.8289, loss: 0.8289 +2025-07-02 02:03:06,755 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:22:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 0.7688, loss: 0.7688 +2025-07-02 02:03:21,715 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:22:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9850, loss_cls: 0.7927, loss: 0.7927 +2025-07-02 02:03:36,679 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:21:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9819, loss_cls: 0.8098, loss: 0.8098 +2025-07-02 02:03:48,933 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 02:04:11,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:04:11,366 - pyskl - INFO - +top1_acc 0.8517 +top5_acc 0.9933 +2025-07-02 02:04:11,370 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_8.pth was removed +2025-07-02 02:04:11,482 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 02:04:11,483 - pyskl - INFO - Best top1_acc is 0.8517 at 9 epoch. +2025-07-02 02:04:11,484 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8517, top5_acc: 0.9933 +2025-07-02 02:04:47,897 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:23:30, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 0.7700, loss: 0.7700 +2025-07-02 02:05:02,970 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:23:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 0.7874, loss: 0.7874 +2025-07-02 02:05:18,105 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:22:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 0.7889, loss: 0.7889 +2025-07-02 02:05:33,047 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:21:58, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8244, top5_acc: 0.9725, loss_cls: 0.8445, loss: 0.8445 +2025-07-02 02:05:47,879 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:21:24, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 0.8160, loss: 0.8160 +2025-07-02 02:06:02,805 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:20:53, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9800, loss_cls: 0.8254, loss: 0.8254 +2025-07-02 02:06:17,799 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:20:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9806, loss_cls: 0.8344, loss: 0.8344 +2025-07-02 02:06:32,760 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:19:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9788, loss_cls: 0.8118, loss: 0.8118 +2025-07-02 02:06:47,840 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:19:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 0.7894, loss: 0.7894 +2025-07-02 02:07:03,042 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:18:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 0.8351, loss: 0.8351 +2025-07-02 02:07:18,231 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:18:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9788, loss_cls: 0.7766, loss: 0.7766 +2025-07-02 02:07:30,573 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 02:07:52,760 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:07:52,770 - pyskl - INFO - +top1_acc 0.8683 +top5_acc 0.9882 +2025-07-02 02:07:52,774 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_9.pth was removed +2025-07-02 02:07:52,997 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 02:07:52,998 - pyskl - INFO - Best top1_acc is 0.8683 at 10 epoch. +2025-07-02 02:07:52,998 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8683, top5_acc: 0.9882 +2025-07-02 02:08:29,370 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:19:52, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 0.7540, loss: 0.7540 +2025-07-02 02:08:44,342 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:19:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9719, loss_cls: 0.8372, loss: 0.8372 +2025-07-02 02:08:59,332 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:18:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 0.7512, loss: 0.7512 +2025-07-02 02:09:14,307 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:18:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9875, loss_cls: 0.7829, loss: 0.7829 +2025-07-02 02:09:29,316 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:17:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9850, loss_cls: 0.7620, loss: 0.7620 +2025-07-02 02:09:44,407 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:17:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9812, loss_cls: 0.7458, loss: 0.7458 +2025-07-02 02:09:59,454 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:16:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 0.8074, loss: 0.8074 +2025-07-02 02:10:14,479 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:16:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9762, loss_cls: 0.8014, loss: 0.8014 +2025-07-02 02:10:29,580 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:16:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9819, loss_cls: 0.7421, loss: 0.7421 +2025-07-02 02:10:44,703 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:15:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9738, loss_cls: 0.7609, loss: 0.7609 +2025-07-02 02:10:59,723 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:15:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 0.7560, loss: 0.7560 +2025-07-02 02:11:11,988 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 02:11:34,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:11:34,749 - pyskl - INFO - +top1_acc 0.8288 +top5_acc 0.9889 +2025-07-02 02:11:34,750 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8288, top5_acc: 0.9889 +2025-07-02 02:12:11,271 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:16:21, time: 0.365, data_time: 0.216, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 0.7543, loss: 0.7543 +2025-07-02 02:12:26,116 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:15:51, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 0.7381, loss: 0.7381 +2025-07-02 02:12:41,078 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:15:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 0.7608, loss: 0.7608 +2025-07-02 02:12:56,552 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:15:00, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9744, loss_cls: 0.7559, loss: 0.7559 +2025-07-02 02:13:11,744 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:14:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9762, loss_cls: 0.7776, loss: 0.7776 +2025-07-02 02:13:26,854 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:14:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 0.7416, loss: 0.7416 +2025-07-02 02:13:42,188 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:13:44, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 0.7687, loss: 0.7687 +2025-07-02 02:13:57,291 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:13:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9775, loss_cls: 0.8149, loss: 0.8149 +2025-07-02 02:14:12,259 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:12:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 0.7656, loss: 0.7656 +2025-07-02 02:14:27,251 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:12:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6939, loss: 0.6939 +2025-07-02 02:14:42,206 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:11:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 0.6987, loss: 0.6987 +2025-07-02 02:14:54,470 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 02:15:17,421 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:15:17,432 - pyskl - INFO - +top1_acc 0.8436 +top5_acc 0.9889 +2025-07-02 02:15:17,432 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8436, top5_acc: 0.9889 +2025-07-02 02:15:53,809 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:12:59, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9825, loss_cls: 0.7601, loss: 0.7601 +2025-07-02 02:16:08,765 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:12:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 0.7448, loss: 0.7448 +2025-07-02 02:16:23,627 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:12:03, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 0.7344, loss: 0.7344 +2025-07-02 02:16:38,635 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:11:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9800, loss_cls: 0.7941, loss: 0.7941 +2025-07-02 02:16:53,389 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:11:07, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 0.6957, loss: 0.6957 +2025-07-02 02:17:08,309 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:10:39, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 0.7313, loss: 0.7313 +2025-07-02 02:17:23,235 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:10:12, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 0.7057, loss: 0.7057 +2025-07-02 02:17:38,013 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:09:43, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9819, loss_cls: 0.7404, loss: 0.7404 +2025-07-02 02:17:52,932 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:09:16, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9825, loss_cls: 0.7581, loss: 0.7581 +2025-07-02 02:18:07,979 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:08:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 0.7421, loss: 0.7421 +2025-07-02 02:18:22,865 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:08:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9838, loss_cls: 0.7381, loss: 0.7381 +2025-07-02 02:18:35,296 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 02:18:58,001 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:18:58,011 - pyskl - INFO - +top1_acc 0.8310 +top5_acc 0.9871 +2025-07-02 02:18:58,012 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8310, top5_acc: 0.9871 +2025-07-02 02:19:34,373 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:09:20, time: 0.364, data_time: 0.212, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9806, loss_cls: 0.7826, loss: 0.7826 +2025-07-02 02:19:49,407 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:08:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9831, loss_cls: 0.7459, loss: 0.7459 +2025-07-02 02:20:04,460 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:08:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9844, loss_cls: 0.7461, loss: 0.7461 +2025-07-02 02:20:19,502 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:08:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9812, loss_cls: 0.7379, loss: 0.7379 +2025-07-02 02:20:34,406 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:07:37, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9831, loss_cls: 0.7104, loss: 0.7104 +2025-07-02 02:20:49,343 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:07:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9825, loss_cls: 0.7480, loss: 0.7480 +2025-07-02 02:21:04,305 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:06:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9800, loss_cls: 0.7170, loss: 0.7170 +2025-07-02 02:21:19,338 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:06:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9838, loss_cls: 0.7538, loss: 0.7538 +2025-07-02 02:21:34,417 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:05:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9856, loss_cls: 0.7380, loss: 0.7380 +2025-07-02 02:21:49,368 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:05:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 0.6514, loss: 0.6514 +2025-07-02 02:22:04,312 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:05:04, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9906, loss_cls: 0.6492, loss: 0.6492 +2025-07-02 02:22:16,509 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 02:22:39,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:22:39,037 - pyskl - INFO - +top1_acc 0.8269 +top5_acc 0.9786 +2025-07-02 02:22:39,038 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8269, top5_acc: 0.9786 +2025-07-02 02:23:15,462 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:05:54, time: 0.364, data_time: 0.215, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9850, loss_cls: 0.7429, loss: 0.7429 +2025-07-02 02:23:30,458 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:05:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.6034, loss: 0.6034 +2025-07-02 02:23:45,340 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:05:03, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9869, loss_cls: 0.7574, loss: 0.7574 +2025-07-02 02:24:00,213 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:04:37, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 0.7136, loss: 0.7136 +2025-07-02 02:24:15,079 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:04:11, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 0.6834, loss: 0.6834 +2025-07-02 02:24:30,022 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:03:45, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9775, loss_cls: 0.7690, loss: 0.7690 +2025-07-02 02:24:45,024 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:03:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.6823, loss: 0.6823 +2025-07-02 02:25:00,019 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:02:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9788, loss_cls: 0.7316, loss: 0.7316 +2025-07-02 02:25:15,053 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:02:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 0.6412, loss: 0.6412 +2025-07-02 02:25:30,183 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:02:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6491, loss: 0.6491 +2025-07-02 02:25:45,410 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:01:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 0.6486, loss: 0.6486 +2025-07-02 02:25:57,740 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 02:26:20,126 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:26:20,137 - pyskl - INFO - +top1_acc 0.8225 +top5_acc 0.9848 +2025-07-02 02:26:20,138 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8225, top5_acc: 0.9848 +2025-07-02 02:26:56,498 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:02:31, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9894, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 02:27:11,301 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:02:05, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 0.6808, loss: 0.6808 +2025-07-02 02:27:26,102 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:01:39, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 0.7217, loss: 0.7217 +2025-07-02 02:27:41,007 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:01:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.6749, loss: 0.6749 +2025-07-02 02:27:55,893 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:00:49, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9850, loss_cls: 0.7136, loss: 0.7136 +2025-07-02 02:28:10,803 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:00:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9819, loss_cls: 0.6955, loss: 0.6955 +2025-07-02 02:28:25,906 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:00:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 0.6861, loss: 0.6861 +2025-07-02 02:28:41,071 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 6:59:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 0.6934, loss: 0.6934 +2025-07-02 02:28:55,989 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 6:59:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.6897, loss: 0.6897 +2025-07-02 02:29:10,941 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 6:58:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 0.7570, loss: 0.7570 +2025-07-02 02:29:25,975 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 6:58:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9844, loss_cls: 0.6863, loss: 0.6863 +2025-07-02 02:29:38,327 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 02:30:00,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:30:00,897 - pyskl - INFO - +top1_acc 0.8291 +top5_acc 0.9837 +2025-07-02 02:30:00,897 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8291, top5_acc: 0.9837 +2025-07-02 02:30:37,183 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 6:59:05, time: 0.363, data_time: 0.214, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9900, loss_cls: 0.5897, loss: 0.5897 +2025-07-02 02:30:51,976 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 6:58:40, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 0.6386, loss: 0.6386 +2025-07-02 02:31:06,940 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 6:58:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 0.6754, loss: 0.6754 +2025-07-02 02:31:21,891 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:57:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 0.7515, loss: 0.7515 +2025-07-02 02:31:37,170 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:57:31, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 0.6917, loss: 0.6917 +2025-07-02 02:31:52,515 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:57:10, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 0.7126, loss: 0.7126 +2025-07-02 02:32:07,694 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:56:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9819, loss_cls: 0.6337, loss: 0.6337 +2025-07-02 02:32:22,958 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:56:27, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.6483, loss: 0.6483 +2025-07-02 02:32:37,783 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:56:02, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 0.7027, loss: 0.7027 +2025-07-02 02:32:52,595 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:55:38, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6707, loss: 0.6707 +2025-07-02 02:33:07,647 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:55:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 0.7019, loss: 0.7019 +2025-07-02 02:33:20,003 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 02:33:42,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:33:42,365 - pyskl - INFO - +top1_acc 0.8469 +top5_acc 0.9863 +2025-07-02 02:33:42,365 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8469, top5_acc: 0.9863 +2025-07-02 02:34:18,783 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:55:50, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 0.7071, loss: 0.7071 +2025-07-02 02:34:33,711 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:55:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9788, loss_cls: 0.6808, loss: 0.6808 +2025-07-02 02:34:48,563 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:55:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9875, loss_cls: 0.6598, loss: 0.6598 +2025-07-02 02:35:03,536 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:54:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 0.6785, loss: 0.6785 +2025-07-02 02:35:18,390 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:54:15, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 0.6257, loss: 0.6257 +2025-07-02 02:35:33,274 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:53:51, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9862, loss_cls: 0.6596, loss: 0.6596 +2025-07-02 02:35:48,134 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:53:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 0.6797, loss: 0.6797 +2025-07-02 02:36:03,179 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:53:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.6161, loss: 0.6161 +2025-07-02 02:36:18,263 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:52:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 0.6791, loss: 0.6791 +2025-07-02 02:36:33,344 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:52:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9794, loss_cls: 0.6526, loss: 0.6526 +2025-07-02 02:36:48,385 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:51:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9762, loss_cls: 0.7185, loss: 0.7185 +2025-07-02 02:37:00,718 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 02:37:22,998 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:37:23,008 - pyskl - INFO - +top1_acc 0.8499 +top5_acc 0.9926 +2025-07-02 02:37:23,008 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8499, top5_acc: 0.9926 +2025-07-02 02:37:59,158 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:52:28, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9900, loss_cls: 0.6342, loss: 0.6342 +2025-07-02 02:38:14,102 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:52:05, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9869, loss_cls: 0.6555, loss: 0.6555 +2025-07-02 02:38:29,162 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:51:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5545, loss: 0.5545 +2025-07-02 02:38:44,180 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:51:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 0.6973, loss: 0.6973 +2025-07-02 02:38:59,253 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:50:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 0.6620, loss: 0.6620 +2025-07-02 02:39:14,295 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:50:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.5997, loss: 0.5997 +2025-07-02 02:39:29,202 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:50:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 0.6896, loss: 0.6896 +2025-07-02 02:39:44,093 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:49:51, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 0.6513, loss: 0.6513 +2025-07-02 02:39:59,009 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:49:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9819, loss_cls: 0.6130, loss: 0.6130 +2025-07-02 02:40:13,965 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:49:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.6006, loss: 0.6006 +2025-07-02 02:40:28,986 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:48:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 0.6828, loss: 0.6828 +2025-07-02 02:40:41,252 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 02:41:03,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:41:03,583 - pyskl - INFO - +top1_acc 0.8720 +top5_acc 0.9900 +2025-07-02 02:41:03,587 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_10.pth was removed +2025-07-02 02:41:03,707 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-02 02:41:03,708 - pyskl - INFO - Best top1_acc is 0.8720 at 19 epoch. +2025-07-02 02:41:03,709 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8720, top5_acc: 0.9900 +2025-07-02 02:41:39,892 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:49:09, time: 0.362, data_time: 0.211, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6201, loss: 0.6201 +2025-07-02 02:41:54,967 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:48:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 0.6018, loss: 0.6018 +2025-07-02 02:42:09,998 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:48:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.6038, loss: 0.6038 +2025-07-02 02:42:25,063 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:48:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6630, loss: 0.6630 +2025-07-02 02:42:40,021 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:47:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 0.6499, loss: 0.6499 +2025-07-02 02:42:55,036 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:47:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6985, loss: 0.6985 +2025-07-02 02:43:09,928 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:46:57, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 0.6073, loss: 0.6073 +2025-07-02 02:43:24,861 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:46:35, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9862, loss_cls: 0.6622, loss: 0.6622 +2025-07-02 02:43:39,813 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:46:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 0.6652, loss: 0.6652 +2025-07-02 02:43:54,743 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:45:51, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9825, loss_cls: 0.6339, loss: 0.6339 +2025-07-02 02:44:09,740 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:45:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6542, loss: 0.6542 +2025-07-02 02:44:22,066 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 02:44:44,269 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:44:44,279 - pyskl - INFO - +top1_acc 0.8683 +top5_acc 0.9896 +2025-07-02 02:44:44,280 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8683, top5_acc: 0.9896 +2025-07-02 02:45:20,282 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:45:51, time: 0.360, data_time: 0.211, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 0.6376, loss: 0.6376 +2025-07-02 02:45:35,200 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:45:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5835, loss: 0.5835 +2025-07-02 02:45:50,212 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:45:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9881, loss_cls: 0.6353, loss: 0.6353 +2025-07-02 02:46:05,201 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:44:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 0.6273, loss: 0.6273 +2025-07-02 02:46:20,370 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:44:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 0.5966, loss: 0.5966 +2025-07-02 02:46:35,427 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:44:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 0.6905, loss: 0.6905 +2025-07-02 02:46:50,164 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:43:40, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6503, loss: 0.6503 +2025-07-02 02:47:05,288 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:43:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 0.6719, loss: 0.6719 +2025-07-02 02:47:20,200 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:42:58, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9894, loss_cls: 0.6548, loss: 0.6548 +2025-07-02 02:47:35,136 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:42:36, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9912, loss_cls: 0.5944, loss: 0.5944 +2025-07-02 02:47:50,084 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:42:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 0.6568, loss: 0.6568 +2025-07-02 02:48:02,382 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 02:48:24,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:48:24,982 - pyskl - INFO - +top1_acc 0.8469 +top5_acc 0.9904 +2025-07-02 02:48:24,983 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8469, top5_acc: 0.9904 +2025-07-02 02:49:00,730 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:42:32, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9906, loss_cls: 0.6427, loss: 0.6427 +2025-07-02 02:49:15,679 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:42:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.5860, loss: 0.5860 +2025-07-02 02:49:30,680 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:41:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9912, loss_cls: 0.5650, loss: 0.5650 +2025-07-02 02:49:45,619 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:41:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 0.6287, loss: 0.6287 +2025-07-02 02:50:00,731 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:41:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9869, loss_cls: 0.6698, loss: 0.6698 +2025-07-02 02:50:15,770 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:40:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 0.6604, loss: 0.6604 +2025-07-02 02:50:30,611 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:40:24, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6374, loss: 0.6374 +2025-07-02 02:50:45,505 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:40:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 0.5887, loss: 0.5887 +2025-07-02 02:51:00,482 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:39:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 02:51:15,396 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:39:19, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6334, loss: 0.6334 +2025-07-02 02:51:30,285 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:38:58, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 0.5842, loss: 0.5842 +2025-07-02 02:51:42,503 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 02:52:05,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:52:05,037 - pyskl - INFO - +top1_acc 0.8436 +top5_acc 0.9856 +2025-07-02 02:52:05,038 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8436, top5_acc: 0.9856 +2025-07-02 02:52:41,490 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:39:17, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5884, loss: 0.5884 +2025-07-02 02:52:56,556 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:38:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 0.6111, loss: 0.6111 +2025-07-02 02:53:11,638 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:38:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5521, loss: 0.5521 +2025-07-02 02:53:26,741 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:38:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 0.6242, loss: 0.6242 +2025-07-02 02:53:41,767 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:37:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.6250, loss: 0.6250 +2025-07-02 02:53:56,670 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:37:33, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6466, loss: 0.6466 +2025-07-02 02:54:11,560 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:37:11, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 02:54:26,519 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:36:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 0.6028, loss: 0.6028 +2025-07-02 02:54:41,594 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:36:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.5940, loss: 0.5940 +2025-07-02 02:54:56,610 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:36:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9881, loss_cls: 0.6017, loss: 0.6017 +2025-07-02 02:55:11,514 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:35:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 0.6365, loss: 0.6365 +2025-07-02 02:55:23,761 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 02:55:46,090 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:55:46,100 - pyskl - INFO - +top1_acc 0.8746 +top5_acc 0.9874 +2025-07-02 02:55:46,104 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_19.pth was removed +2025-07-02 02:55:46,210 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-02 02:55:46,211 - pyskl - INFO - Best top1_acc is 0.8746 at 23 epoch. +2025-07-02 02:55:46,212 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8746, top5_acc: 0.9874 +2025-07-02 02:56:22,472 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:36:04, time: 0.363, data_time: 0.211, memory: 3565, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.5207, loss: 0.5207 +2025-07-02 02:56:37,576 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:35:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 0.5932, loss: 0.5932 +2025-07-02 02:56:52,466 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:35:22, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.5139, loss: 0.5139 +2025-07-02 02:57:07,301 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:35:01, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9800, loss_cls: 0.6493, loss: 0.6493 +2025-07-02 02:57:22,186 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:34:39, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5807, loss: 0.5807 +2025-07-02 02:57:37,062 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:34:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 0.5985, loss: 0.5985 +2025-07-02 02:57:51,880 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:33:57, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9862, loss_cls: 0.6660, loss: 0.6660 +2025-07-02 02:58:06,937 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:33:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9850, loss_cls: 0.5700, loss: 0.5700 +2025-07-02 02:58:21,890 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:33:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9800, loss_cls: 0.6257, loss: 0.6257 +2025-07-02 02:58:36,841 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:32:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 0.5989, loss: 0.5989 +2025-07-02 02:58:51,663 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:32:34, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9850, loss_cls: 0.5598, loss: 0.5598 +2025-07-02 02:59:03,816 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 02:59:26,233 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:59:26,243 - pyskl - INFO - +top1_acc 0.8772 +top5_acc 0.9948 +2025-07-02 02:59:26,247 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_23.pth was removed +2025-07-02 02:59:26,366 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 02:59:26,367 - pyskl - INFO - Best top1_acc is 0.8772 at 24 epoch. +2025-07-02 02:59:26,368 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8772, top5_acc: 0.9948 +2025-07-02 03:00:02,817 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:32:48, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5822, loss: 0.5822 +2025-07-02 03:00:17,728 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:32:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 0.6198, loss: 0.6198 +2025-07-02 03:00:32,692 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:32:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9844, loss_cls: 0.5964, loss: 0.5964 +2025-07-02 03:00:47,678 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:31:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6101, loss: 0.6101 +2025-07-02 03:01:02,603 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:31:25, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9844, loss_cls: 0.6005, loss: 0.6005 +2025-07-02 03:01:17,693 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:31:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 0.6111, loss: 0.6111 +2025-07-02 03:01:32,806 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:30:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5957, loss: 0.5957 +2025-07-02 03:01:47,972 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:30:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5794, loss: 0.5794 +2025-07-02 03:02:03,092 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:30:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 0.5679, loss: 0.5679 +2025-07-02 03:02:18,058 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:29:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 0.5924, loss: 0.5924 +2025-07-02 03:02:33,042 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:29:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.5658, loss: 0.5658 +2025-07-02 03:02:45,205 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 03:03:07,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:03:07,339 - pyskl - INFO - +top1_acc 0.8865 +top5_acc 0.9941 +2025-07-02 03:03:07,342 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_24.pth was removed +2025-07-02 03:03:07,453 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-02 03:03:07,454 - pyskl - INFO - Best top1_acc is 0.8865 at 25 epoch. +2025-07-02 03:03:07,454 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8865, top5_acc: 0.9941 +2025-07-02 03:03:43,779 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:29:38, time: 0.363, data_time: 0.211, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.5169, loss: 0.5169 +2025-07-02 03:03:58,784 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:29:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.5708, loss: 0.5708 +2025-07-02 03:04:13,734 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:28:57, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 0.5395, loss: 0.5395 +2025-07-02 03:04:28,752 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:28:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 03:04:43,701 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:28:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 0.6110, loss: 0.6110 +2025-07-02 03:04:58,690 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:27:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 0.6349, loss: 0.6349 +2025-07-02 03:05:13,650 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:27:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.5878, loss: 0.5878 +2025-07-02 03:05:28,666 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:27:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6801, loss: 0.6801 +2025-07-02 03:05:43,840 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:26:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 0.6306, loss: 0.6306 +2025-07-02 03:05:58,974 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:26:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.5900, loss: 0.5900 +2025-07-02 03:06:14,055 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:26:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9931, loss_cls: 0.5276, loss: 0.5276 +2025-07-02 03:06:26,328 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 03:06:48,828 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:06:48,838 - pyskl - INFO - +top1_acc 0.8624 +top5_acc 0.9863 +2025-07-02 03:06:48,839 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8624, top5_acc: 0.9863 +2025-07-02 03:07:25,060 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:26:28, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5544, loss: 0.5544 +2025-07-02 03:07:40,090 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:26:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5408, loss: 0.5408 +2025-07-02 03:07:55,096 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:25:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5608, loss: 0.5608 +2025-07-02 03:08:10,198 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:25:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.6110, loss: 0.6110 +2025-07-02 03:08:25,194 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:25:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5746, loss: 0.5746 +2025-07-02 03:08:40,032 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:24:47, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 03:08:54,932 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:24:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 0.6071, loss: 0.6071 +2025-07-02 03:09:09,934 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:24:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5773, loss: 0.5773 +2025-07-02 03:09:25,015 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:23:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5559, loss: 0.5559 +2025-07-02 03:09:40,133 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:23:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5292, loss: 0.5292 +2025-07-02 03:09:55,161 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:23:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.5807, loss: 0.5807 +2025-07-02 03:10:07,347 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 03:10:30,128 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:10:30,138 - pyskl - INFO - +top1_acc 0.8388 +top5_acc 0.9878 +2025-07-02 03:10:30,138 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8388, top5_acc: 0.9878 +2025-07-02 03:11:05,877 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:23:15, time: 0.357, data_time: 0.208, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 0.5685, loss: 0.5685 +2025-07-02 03:11:20,884 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:22:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5369, loss: 0.5369 +2025-07-02 03:11:35,887 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:22:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 0.4943, loss: 0.4943 +2025-07-02 03:11:50,887 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:22:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9838, loss_cls: 0.5664, loss: 0.5664 +2025-07-02 03:12:05,905 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:21:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5667, loss: 0.5667 +2025-07-02 03:12:20,950 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:21:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 0.5678, loss: 0.5678 +2025-07-02 03:12:36,018 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:21:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 0.5825, loss: 0.5825 +2025-07-02 03:12:51,068 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:20:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9869, loss_cls: 0.6057, loss: 0.6057 +2025-07-02 03:13:06,099 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:20:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5617, loss: 0.5617 +2025-07-02 03:13:21,211 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:20:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 0.5407, loss: 0.5407 +2025-07-02 03:13:36,216 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:19:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 0.6020, loss: 0.6020 +2025-07-02 03:13:48,483 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 03:14:10,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:14:10,853 - pyskl - INFO - +top1_acc 0.8436 +top5_acc 0.9904 +2025-07-02 03:14:10,854 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8436, top5_acc: 0.9904 +2025-07-02 03:14:47,058 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:20:05, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5333, loss: 0.5333 +2025-07-02 03:15:02,031 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:19:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5286, loss: 0.5286 +2025-07-02 03:15:17,029 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:19:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5625, loss: 0.5625 +2025-07-02 03:15:32,019 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:19:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9912, loss_cls: 0.5911, loss: 0.5911 +2025-07-02 03:15:47,039 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:18:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9831, loss_cls: 0.5411, loss: 0.5411 +2025-07-02 03:16:02,120 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:18:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 0.6221, loss: 0.6221 +2025-07-02 03:16:17,183 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:18:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5759, loss: 0.5759 +2025-07-02 03:16:32,353 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:17:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9819, loss_cls: 0.5933, loss: 0.5933 +2025-07-02 03:16:47,489 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:17:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5779, loss: 0.5779 +2025-07-02 03:17:02,502 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:17:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 0.5335, loss: 0.5335 +2025-07-02 03:17:17,525 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:16:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5355, loss: 0.5355 +2025-07-02 03:17:29,673 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 03:17:52,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:17:52,103 - pyskl - INFO - +top1_acc 0.8695 +top5_acc 0.9900 +2025-07-02 03:17:52,103 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8695, top5_acc: 0.9900 +2025-07-02 03:18:28,549 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:16:57, time: 0.364, data_time: 0.208, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 0.5095, loss: 0.5095 +2025-07-02 03:18:44,059 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:16:40, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 0.5799, loss: 0.5799 +2025-07-02 03:18:59,577 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:16:23, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5374, loss: 0.5374 +2025-07-02 03:19:15,049 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:16:05, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5788, loss: 0.5788 +2025-07-02 03:19:30,420 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:15:47, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 03:19:45,851 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:15:29, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 03:20:01,371 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:15:12, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5324, loss: 0.5324 +2025-07-02 03:20:16,972 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:14:55, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9894, loss_cls: 0.6145, loss: 0.6145 +2025-07-02 03:20:32,439 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:14:38, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9831, loss_cls: 0.5641, loss: 0.5641 +2025-07-02 03:20:48,035 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:14:21, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4908, loss: 0.4908 +2025-07-02 03:21:03,658 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:14:04, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 03:21:16,638 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 03:21:38,937 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:21:38,948 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9941 +2025-07-02 03:21:38,948 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8854, top5_acc: 0.9941 +2025-07-02 03:22:15,966 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:14:10, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 0.5556, loss: 0.5556 +2025-07-02 03:22:31,281 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:13:52, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 0.5366, loss: 0.5366 +2025-07-02 03:22:46,689 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:13:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.5209, loss: 0.5209 +2025-07-02 03:23:02,099 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:13:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6409, loss: 0.6409 +2025-07-02 03:23:17,503 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:12:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.6238, loss: 0.6238 +2025-07-02 03:23:32,961 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:12:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5935, loss: 0.5935 +2025-07-02 03:23:48,479 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:12:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.6342, loss: 0.6342 +2025-07-02 03:24:03,899 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:12:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5594, loss: 0.5594 +2025-07-02 03:24:19,515 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:11:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5825, loss: 0.5825 +2025-07-02 03:24:34,963 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:11:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9900, loss_cls: 0.6162, loss: 0.6162 +2025-07-02 03:24:50,338 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:11:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 0.6067, loss: 0.6067 +2025-07-02 03:25:03,026 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 03:25:25,728 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:25:25,738 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9904 +2025-07-02 03:25:25,739 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8794, top5_acc: 0.9904 +2025-07-02 03:26:02,591 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:11:19, time: 0.368, data_time: 0.211, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 03:26:18,105 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:11:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5850, loss: 0.5850 +2025-07-02 03:26:33,598 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:10:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 0.5082, loss: 0.5082 +2025-07-02 03:26:49,158 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:10:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5620, loss: 0.5620 +2025-07-02 03:27:04,653 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:10:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.5574, loss: 0.5574 +2025-07-02 03:27:19,993 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:09:51, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 0.5827, loss: 0.5827 +2025-07-02 03:27:35,465 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:09:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9906, loss_cls: 0.6306, loss: 0.6306 +2025-07-02 03:27:51,125 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:09:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5813, loss: 0.5813 +2025-07-02 03:28:06,647 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:08:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 0.6228, loss: 0.6228 +2025-07-02 03:28:22,283 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:08:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 0.6394, loss: 0.6394 +2025-07-02 03:28:37,851 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:08:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5876, loss: 0.5876 +2025-07-02 03:28:50,439 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 03:29:13,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:29:13,099 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9933 +2025-07-02 03:29:13,103 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_25.pth was removed +2025-07-02 03:29:13,218 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2025-07-02 03:29:13,219 - pyskl - INFO - Best top1_acc is 0.9016 at 32 epoch. +2025-07-02 03:29:13,220 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.9016, top5_acc: 0.9933 +2025-07-02 03:29:50,485 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:08:30, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 0.5422, loss: 0.5422 +2025-07-02 03:30:05,988 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:08:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5079, loss: 0.5079 +2025-07-02 03:30:21,494 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:07:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5602, loss: 0.5602 +2025-07-02 03:30:36,826 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:07:37, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5875, loss: 0.5875 +2025-07-02 03:30:52,203 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:07:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 0.5846, loss: 0.5846 +2025-07-02 03:31:07,614 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:07:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 0.5485, loss: 0.5485 +2025-07-02 03:31:23,258 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:06:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9788, loss_cls: 0.6365, loss: 0.6365 +2025-07-02 03:31:38,752 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:06:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 0.6198, loss: 0.6198 +2025-07-02 03:31:54,257 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:06:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5686, loss: 0.5686 +2025-07-02 03:32:09,753 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:05:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9931, loss_cls: 0.5593, loss: 0.5593 +2025-07-02 03:32:25,293 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:05:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9931, loss_cls: 0.5486, loss: 0.5486 +2025-07-02 03:32:38,024 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 03:33:00,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:33:00,563 - pyskl - INFO - +top1_acc 0.8643 +top5_acc 0.9874 +2025-07-02 03:33:00,563 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8643, top5_acc: 0.9874 +2025-07-02 03:33:37,790 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:05:39, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5774, loss: 0.5774 +2025-07-02 03:33:53,290 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:05:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 0.5912, loss: 0.5912 +2025-07-02 03:34:08,730 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:05:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9838, loss_cls: 0.5504, loss: 0.5504 +2025-07-02 03:34:24,135 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:04:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9938, loss_cls: 0.5428, loss: 0.5428 +2025-07-02 03:34:39,539 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:04:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 0.5569, loss: 0.5569 +2025-07-02 03:34:54,986 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:04:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 0.5864, loss: 0.5864 +2025-07-02 03:35:10,404 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:03:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.5024, loss: 0.5024 +2025-07-02 03:35:25,828 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:03:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.6014, loss: 0.6014 +2025-07-02 03:35:41,231 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:03:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5442, loss: 0.5442 +2025-07-02 03:35:56,625 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:03:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.4951, loss: 0.4951 +2025-07-02 03:36:12,108 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:02:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 03:36:24,789 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 03:36:47,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:36:47,304 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9915 +2025-07-02 03:36:47,305 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8931, top5_acc: 0.9915 +2025-07-02 03:37:24,097 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:02:43, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4661, loss: 0.4661 +2025-07-02 03:37:39,464 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:02:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.6052, loss: 0.6052 +2025-07-02 03:37:54,986 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:02:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5448, loss: 0.5448 +2025-07-02 03:38:10,555 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:01:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9850, loss_cls: 0.5377, loss: 0.5377 +2025-07-02 03:38:26,124 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:01:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 0.5450, loss: 0.5450 +2025-07-02 03:38:41,686 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:01:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5903, loss: 0.5903 +2025-07-02 03:38:57,170 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:00:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5758, loss: 0.5758 +2025-07-02 03:39:12,604 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:00:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 0.5783, loss: 0.5783 +2025-07-02 03:39:28,164 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:00:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 0.5422, loss: 0.5422 +2025-07-02 03:39:43,741 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:00:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.5161, loss: 0.5161 +2025-07-02 03:39:59,124 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 5:59:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.5040, loss: 0.5040 +2025-07-02 03:40:11,861 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 03:40:34,385 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:40:34,395 - pyskl - INFO - +top1_acc 0.8831 +top5_acc 0.9930 +2025-07-02 03:40:34,395 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8831, top5_acc: 0.9930 +2025-07-02 03:41:11,673 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 5:59:50, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.5191, loss: 0.5191 +2025-07-02 03:41:27,088 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 5:59:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9925, loss_cls: 0.5320, loss: 0.5320 +2025-07-02 03:41:42,476 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 5:59:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9862, loss_cls: 0.4811, loss: 0.4811 +2025-07-02 03:41:57,923 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 5:58:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5620, loss: 0.5620 +2025-07-02 03:42:13,328 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 5:58:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5186, loss: 0.5186 +2025-07-02 03:42:28,720 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 5:58:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 0.5721, loss: 0.5721 +2025-07-02 03:42:44,209 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:58:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.5590, loss: 0.5590 +2025-07-02 03:42:59,684 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:57:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5582, loss: 0.5582 +2025-07-02 03:43:15,071 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:57:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4982, loss: 0.4982 +2025-07-02 03:43:30,480 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:57:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5313, loss: 0.5313 +2025-07-02 03:43:45,945 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:56:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.5152, loss: 0.5152 +2025-07-02 03:43:58,525 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 03:44:21,099 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:44:21,109 - pyskl - INFO - +top1_acc 0.8824 +top5_acc 0.9945 +2025-07-02 03:44:21,109 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.8824, top5_acc: 0.9945 +2025-07-02 03:44:57,974 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:56:52, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5207, loss: 0.5207 +2025-07-02 03:45:13,543 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:56:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.5342, loss: 0.5342 +2025-07-02 03:45:28,982 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:56:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5521, loss: 0.5521 +2025-07-02 03:45:44,470 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:56:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9850, loss_cls: 0.6083, loss: 0.6083 +2025-07-02 03:45:59,955 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:55:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5392, loss: 0.5392 +2025-07-02 03:46:15,365 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:55:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5793, loss: 0.5793 +2025-07-02 03:46:30,803 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:55:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4965, loss: 0.4965 +2025-07-02 03:46:46,196 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:54:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 03:47:01,638 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:54:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5830, loss: 0.5830 +2025-07-02 03:47:17,053 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:54:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.5211, loss: 0.5211 +2025-07-02 03:47:32,481 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:53:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9875, loss_cls: 0.5169, loss: 0.5169 +2025-07-02 03:47:45,039 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 03:48:07,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:48:07,393 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9922 +2025-07-02 03:48:07,397 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_32.pth was removed +2025-07-02 03:48:07,508 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. +2025-07-02 03:48:07,509 - pyskl - INFO - Best top1_acc is 0.9124 at 37 epoch. +2025-07-02 03:48:07,510 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.9124, top5_acc: 0.9922 +2025-07-02 03:48:44,416 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:53:55, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5626, loss: 0.5626 +2025-07-02 03:48:59,823 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:53:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.5856, loss: 0.5856 +2025-07-02 03:49:15,249 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:53:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4625, loss: 0.4625 +2025-07-02 03:49:30,669 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:53:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5282, loss: 0.5282 +2025-07-02 03:49:46,084 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:52:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 0.5480, loss: 0.5480 +2025-07-02 03:50:01,422 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:52:26, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5351, loss: 0.5351 +2025-07-02 03:50:16,916 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:52:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5760, loss: 0.5760 +2025-07-02 03:50:32,306 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:51:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5428, loss: 0.5428 +2025-07-02 03:50:47,773 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:51:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4698, loss: 0.4698 +2025-07-02 03:51:03,156 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:51:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 03:51:18,517 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:50:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5886, loss: 0.5886 +2025-07-02 03:51:31,001 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 03:51:53,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:51:53,274 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9900 +2025-07-02 03:51:53,275 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8924, top5_acc: 0.9900 +2025-07-02 03:52:29,919 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:50:54, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5248, loss: 0.5248 +2025-07-02 03:52:45,391 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:50:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9950, loss_cls: 0.5011, loss: 0.5011 +2025-07-02 03:53:00,797 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:50:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9931, loss_cls: 0.5274, loss: 0.5274 +2025-07-02 03:53:16,283 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:50:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 03:53:31,694 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:49:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5060, loss: 0.5060 +2025-07-02 03:53:47,201 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:49:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9850, loss_cls: 0.5770, loss: 0.5770 +2025-07-02 03:54:02,752 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:49:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9925, loss_cls: 0.5192, loss: 0.5192 +2025-07-02 03:54:18,242 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:48:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9856, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 03:54:33,751 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:48:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5930, loss: 0.5930 +2025-07-02 03:54:49,286 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:48:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5543, loss: 0.5543 +2025-07-02 03:55:04,828 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:48:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5111, loss: 0.5111 +2025-07-02 03:55:17,555 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 03:55:40,484 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:55:40,494 - pyskl - INFO - +top1_acc 0.8787 +top5_acc 0.9941 +2025-07-02 03:55:40,495 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8787, top5_acc: 0.9941 +2025-07-02 03:56:17,270 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:47:56, time: 0.368, data_time: 0.211, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 03:56:32,719 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:47:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5509, loss: 0.5509 +2025-07-02 03:56:48,150 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:47:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4638, loss: 0.4638 +2025-07-02 03:57:03,617 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:47:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5349, loss: 0.5349 +2025-07-02 03:57:19,074 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:46:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5195, loss: 0.5195 +2025-07-02 03:57:34,460 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:46:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 03:57:49,899 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:46:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.5288, loss: 0.5288 +2025-07-02 03:58:05,374 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:45:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 0.5742, loss: 0.5742 +2025-07-02 03:58:20,834 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:45:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5734, loss: 0.5734 +2025-07-02 03:58:36,288 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:45:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.5219, loss: 0.5219 +2025-07-02 03:58:51,732 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:45:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4728, loss: 0.4728 +2025-07-02 03:59:04,320 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 03:59:26,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:59:26,223 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9922 +2025-07-02 03:59:26,227 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_37.pth was removed +2025-07-02 03:59:26,335 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. +2025-07-02 03:59:26,336 - pyskl - INFO - Best top1_acc is 0.9216 at 40 epoch. +2025-07-02 03:59:26,337 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.9216, top5_acc: 0.9922 +2025-07-02 04:00:02,768 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:44:55, time: 0.364, data_time: 0.203, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.5028, loss: 0.5028 +2025-07-02 04:00:18,251 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:44:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.5239, loss: 0.5239 +2025-07-02 04:00:33,700 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:44:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4556, loss: 0.4556 +2025-07-02 04:00:49,122 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:44:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5549, loss: 0.5549 +2025-07-02 04:01:04,610 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:43:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.4753, loss: 0.4753 +2025-07-02 04:01:20,118 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:43:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5236, loss: 0.5236 +2025-07-02 04:01:35,595 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:43:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4882, loss: 0.4882 +2025-07-02 04:01:51,030 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:42:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 0.5613, loss: 0.5613 +2025-07-02 04:02:06,595 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:42:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9881, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 04:02:22,092 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:42:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9931, loss_cls: 0.5241, loss: 0.5241 +2025-07-02 04:02:37,621 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:42:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.5200, loss: 0.5200 +2025-07-02 04:02:50,397 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 04:03:13,030 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:03:13,040 - pyskl - INFO - +top1_acc 0.9027 +top5_acc 0.9919 +2025-07-02 04:03:13,040 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.9027, top5_acc: 0.9919 +2025-07-02 04:03:50,045 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:41:57, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5556, loss: 0.5556 +2025-07-02 04:04:05,513 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:41:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5224, loss: 0.5224 +2025-07-02 04:04:20,947 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:41:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4880, loss: 0.4880 +2025-07-02 04:04:36,475 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:41:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5008, loss: 0.5008 +2025-07-02 04:04:51,947 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:40:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4351, loss: 0.4351 +2025-07-02 04:05:07,342 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:40:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5305, loss: 0.5305 +2025-07-02 04:05:22,855 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:40:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 04:05:38,451 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:39:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5227, loss: 0.5227 +2025-07-02 04:05:53,959 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:39:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.4997, loss: 0.4997 +2025-07-02 04:06:09,357 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:39:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4751, loss: 0.4751 +2025-07-02 04:06:24,777 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:39:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 0.4321, loss: 0.4321 +2025-07-02 04:06:37,387 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 04:06:59,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:06:59,664 - pyskl - INFO - +top1_acc 0.8780 +top5_acc 0.9926 +2025-07-02 04:06:59,665 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.8780, top5_acc: 0.9926 +2025-07-02 04:07:35,665 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:38:54, time: 0.360, data_time: 0.203, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4743, loss: 0.4743 +2025-07-02 04:07:50,990 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:38:37, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 04:08:06,451 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:38:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4714, loss: 0.4714 +2025-07-02 04:08:21,950 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:38:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9869, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 04:08:37,434 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:37:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4939, loss: 0.4939 +2025-07-02 04:08:52,905 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:37:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 0.5208, loss: 0.5208 +2025-07-02 04:09:08,350 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:37:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 0.5415, loss: 0.5415 +2025-07-02 04:09:23,845 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:36:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4636, loss: 0.4636 +2025-07-02 04:09:39,245 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:36:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 04:09:54,781 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:36:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4842, loss: 0.4842 +2025-07-02 04:10:10,180 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:36:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5316, loss: 0.5316 +2025-07-02 04:10:22,867 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 04:10:45,517 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:10:45,528 - pyskl - INFO - +top1_acc 0.9035 +top5_acc 0.9948 +2025-07-02 04:10:45,529 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.9035, top5_acc: 0.9948 +2025-07-02 04:11:22,084 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:35:52, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4653, loss: 0.4653 +2025-07-02 04:11:37,535 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:35:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9919, loss_cls: 0.5133, loss: 0.5133 +2025-07-02 04:11:52,994 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:35:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 04:12:08,404 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:35:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5167, loss: 0.5167 +2025-07-02 04:12:23,839 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:34:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 0.4920, loss: 0.4920 +2025-07-02 04:12:39,213 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:34:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5287, loss: 0.5287 +2025-07-02 04:12:54,643 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:34:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5672, loss: 0.5672 +2025-07-02 04:13:10,098 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:33:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 04:13:25,638 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:33:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 0.4980, loss: 0.4980 +2025-07-02 04:13:41,267 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:33:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9875, loss_cls: 0.4717, loss: 0.4717 +2025-07-02 04:13:56,637 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:32:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4680, loss: 0.4680 +2025-07-02 04:14:09,189 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 04:14:31,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:14:31,902 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9930 +2025-07-02 04:14:31,902 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9064, top5_acc: 0.9930 +2025-07-02 04:15:08,594 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:32:50, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 0.4623, loss: 0.4623 +2025-07-02 04:15:24,206 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:32:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4504, loss: 0.4504 +2025-07-02 04:15:39,722 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:32:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 0.4521, loss: 0.4521 +2025-07-02 04:15:55,165 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:31:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4517, loss: 0.4517 +2025-07-02 04:16:10,505 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:31:41, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9875, loss_cls: 0.4528, loss: 0.4528 +2025-07-02 04:16:25,757 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:31:24, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 04:16:40,997 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:31:06, time: 0.152, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 0.5384, loss: 0.5384 +2025-07-02 04:16:56,602 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:30:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5013, loss: 0.5013 +2025-07-02 04:17:12,119 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:30:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4518, loss: 0.4518 +2025-07-02 04:17:27,719 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:30:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5693, loss: 0.5693 +2025-07-02 04:17:43,135 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:29:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5017, loss: 0.5017 +2025-07-02 04:17:55,677 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 04:18:17,659 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:18:17,669 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9941 +2025-07-02 04:18:17,669 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8972, top5_acc: 0.9941 +2025-07-02 04:18:54,796 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:29:49, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5219, loss: 0.5219 +2025-07-02 04:19:10,213 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:29:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.4009, loss: 0.4009 +2025-07-02 04:19:25,879 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:29:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.4129, loss: 0.4129 +2025-07-02 04:19:41,501 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:28:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5398, loss: 0.5398 +2025-07-02 04:19:56,971 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:28:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 04:20:12,385 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:28:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4536, loss: 0.4536 +2025-07-02 04:20:27,975 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:28:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4791, loss: 0.4791 +2025-07-02 04:20:43,589 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:27:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4163, loss: 0.4163 +2025-07-02 04:20:59,191 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:27:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 04:21:14,709 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:27:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5885, loss: 0.5885 +2025-07-02 04:21:30,198 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:26:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9862, loss_cls: 0.5051, loss: 0.5051 +2025-07-02 04:21:42,874 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 04:22:05,570 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:22:05,581 - pyskl - INFO - +top1_acc 0.8835 +top5_acc 0.9878 +2025-07-02 04:22:05,581 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.8835, top5_acc: 0.9878 +2025-07-02 04:22:42,456 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:26:49, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4457, loss: 0.4457 +2025-07-02 04:22:57,921 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:26:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4276, loss: 0.4276 +2025-07-02 04:23:13,402 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:26:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4292, loss: 0.4292 +2025-07-02 04:23:28,955 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:25:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 04:23:44,537 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:25:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.4821, loss: 0.4821 +2025-07-02 04:24:00,075 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:25:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4647, loss: 0.4647 +2025-07-02 04:24:15,599 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:25:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4563, loss: 0.4563 +2025-07-02 04:24:31,095 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:24:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 04:24:46,597 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:24:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5519, loss: 0.5519 +2025-07-02 04:25:02,121 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:24:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4372, loss: 0.4372 +2025-07-02 04:25:17,450 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:23:57, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4657, loss: 0.4657 +2025-07-02 04:25:30,138 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 04:25:52,294 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:25:52,305 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9941 +2025-07-02 04:25:52,305 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.9149, top5_acc: 0.9941 +2025-07-02 04:26:29,395 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:23:47, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9956, loss_cls: 0.4530, loss: 0.4530 +2025-07-02 04:26:44,892 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:23:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5048, loss: 0.5048 +2025-07-02 04:27:00,284 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:23:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4156, loss: 0.4156 +2025-07-02 04:27:15,708 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:22:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 04:27:31,119 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:22:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4525, loss: 0.4525 +2025-07-02 04:27:46,526 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:22:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4430, loss: 0.4430 +2025-07-02 04:28:01,917 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:22:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 0.4622, loss: 0.4622 +2025-07-02 04:28:17,334 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:21:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9888, loss_cls: 0.4527, loss: 0.4527 +2025-07-02 04:28:32,803 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:21:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4499, loss: 0.4499 +2025-07-02 04:28:48,294 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:21:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4932, loss: 0.4932 +2025-07-02 04:29:03,786 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:20:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 04:29:16,393 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 04:29:38,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:29:38,739 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9930 +2025-07-02 04:29:38,740 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.8983, top5_acc: 0.9930 +2025-07-02 04:30:15,535 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:20:44, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.4542, loss: 0.4542 +2025-07-02 04:30:31,018 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:20:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4685, loss: 0.4685 +2025-07-02 04:30:46,447 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:20:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9969, loss_cls: 0.4361, loss: 0.4361 +2025-07-02 04:31:01,847 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:19:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4626, loss: 0.4626 +2025-07-02 04:31:17,308 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:19:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 04:31:32,765 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:19:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 0.5189, loss: 0.5189 +2025-07-02 04:31:48,194 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:19:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 04:32:03,584 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:18:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4725, loss: 0.4725 +2025-07-02 04:32:19,102 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:18:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4616, loss: 0.4616 +2025-07-02 04:32:34,454 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:18:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4830, loss: 0.4830 +2025-07-02 04:32:49,773 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:17:51, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4448, loss: 0.4448 +2025-07-02 04:33:02,296 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 04:33:24,737 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:33:24,747 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9937 +2025-07-02 04:33:24,748 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9120, top5_acc: 0.9937 +2025-07-02 04:34:01,548 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:17:39, time: 0.368, data_time: 0.211, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3954, loss: 0.3954 +2025-07-02 04:34:17,030 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:17:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3897, loss: 0.3897 +2025-07-02 04:34:32,626 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:17:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5053, loss: 0.5053 +2025-07-02 04:34:48,210 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:16:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4478, loss: 0.4478 +2025-07-02 04:35:03,709 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:16:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.3868, loss: 0.3868 +2025-07-02 04:35:19,182 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:16:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5506, loss: 0.5506 +2025-07-02 04:35:34,661 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:15:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4333, loss: 0.4333 +2025-07-02 04:35:50,111 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:15:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4530, loss: 0.4530 +2025-07-02 04:36:05,637 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:15:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5380, loss: 0.5380 +2025-07-02 04:36:21,181 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:15:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4557, loss: 0.4557 +2025-07-02 04:36:36,764 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:14:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9938, loss_cls: 0.5044, loss: 0.5044 +2025-07-02 04:36:49,537 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 04:37:11,774 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:37:11,785 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9922 +2025-07-02 04:37:11,786 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.9120, top5_acc: 0.9922 +2025-07-02 04:37:48,126 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:14:36, time: 0.363, data_time: 0.207, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 0.4552, loss: 0.4552 +2025-07-02 04:38:03,505 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:14:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 04:38:18,965 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:14:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3865, loss: 0.3865 +2025-07-02 04:38:34,377 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:13:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4290, loss: 0.4290 +2025-07-02 04:38:49,818 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:13:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 0.4557, loss: 0.4557 +2025-07-02 04:39:05,388 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:13:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4818, loss: 0.4818 +2025-07-02 04:39:20,825 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:12:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5116, loss: 0.5116 +2025-07-02 04:39:36,248 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:12:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4961, loss: 0.4961 +2025-07-02 04:39:51,723 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:12:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 0.4460, loss: 0.4460 +2025-07-02 04:40:07,131 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:12:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 0.4323, loss: 0.4323 +2025-07-02 04:40:22,601 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:11:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4976, loss: 0.4976 +2025-07-02 04:40:35,312 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 04:40:57,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:40:57,733 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9952 +2025-07-02 04:40:57,733 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9216, top5_acc: 0.9952 +2025-07-02 04:41:33,953 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:11:30, time: 0.362, data_time: 0.205, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.3939, loss: 0.3939 +2025-07-02 04:41:49,315 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:11:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4391, loss: 0.4391 +2025-07-02 04:42:04,654 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:10:56, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 0.4057, loss: 0.4057 +2025-07-02 04:42:20,091 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:10:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4800, loss: 0.4800 +2025-07-02 04:42:35,546 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:10:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4847, loss: 0.4847 +2025-07-02 04:42:50,949 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:10:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.4814, loss: 0.4814 +2025-07-02 04:43:06,356 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:09:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4789, loss: 0.4789 +2025-07-02 04:43:21,755 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:09:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 0.4677, loss: 0.4677 +2025-07-02 04:43:37,175 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:09:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.4216, loss: 0.4216 +2025-07-02 04:43:52,701 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:08:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4333, loss: 0.4333 +2025-07-02 04:44:08,194 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:08:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4781, loss: 0.4781 +2025-07-02 04:44:20,754 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 04:44:43,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:44:43,182 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9915 +2025-07-02 04:44:43,186 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_40.pth was removed +2025-07-02 04:44:43,297 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-07-02 04:44:43,298 - pyskl - INFO - Best top1_acc is 0.9271 at 52 epoch. +2025-07-02 04:44:43,299 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9271, top5_acc: 0.9915 +2025-07-02 04:45:19,426 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:08:24, time: 0.361, data_time: 0.204, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3885, loss: 0.3885 +2025-07-02 04:45:34,791 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:08:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3913, loss: 0.3913 +2025-07-02 04:45:50,240 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:07:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4231, loss: 0.4231 +2025-07-02 04:46:05,759 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:07:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 04:46:21,277 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:07:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4204, loss: 0.4204 +2025-07-02 04:46:36,793 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:06:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.4632, loss: 0.4632 +2025-07-02 04:46:52,275 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:06:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 0.4526, loss: 0.4526 +2025-07-02 04:47:07,732 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:06:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 04:47:23,215 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:06:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 0.4284, loss: 0.4284 +2025-07-02 04:47:38,749 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:05:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 0.4449, loss: 0.4449 +2025-07-02 04:47:54,246 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:05:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4752, loss: 0.4752 +2025-07-02 04:48:06,871 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 04:48:29,059 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:48:29,069 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9911 +2025-07-02 04:48:29,070 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.8909, top5_acc: 0.9911 +2025-07-02 04:49:05,543 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:05:19, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 04:49:21,046 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:05:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4037, loss: 0.4037 +2025-07-02 04:49:36,413 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:04:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4287, loss: 0.4287 +2025-07-02 04:49:51,869 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:04:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4043, loss: 0.4043 +2025-07-02 04:50:07,391 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:04:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4074, loss: 0.4074 +2025-07-02 04:50:22,864 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:03:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9856, loss_cls: 0.4836, loss: 0.4836 +2025-07-02 04:50:38,240 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:03:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4790, loss: 0.4790 +2025-07-02 04:50:53,650 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:03:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4791, loss: 0.4791 +2025-07-02 04:51:08,992 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:03:02, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 04:51:24,359 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:02:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 04:51:39,752 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:02:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4039, loss: 0.4039 +2025-07-02 04:51:52,372 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 04:52:14,534 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:52:14,544 - pyskl - INFO - +top1_acc 0.8946 +top5_acc 0.9919 +2025-07-02 04:52:14,545 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8946, top5_acc: 0.9919 +2025-07-02 04:52:51,254 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:02:14, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.4798, loss: 0.4798 +2025-07-02 04:53:06,752 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:01:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4273, loss: 0.4273 +2025-07-02 04:53:22,131 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:01:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4724, loss: 0.4724 +2025-07-02 04:53:37,486 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:01:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5075, loss: 0.5075 +2025-07-02 04:53:52,893 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:01:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4187, loss: 0.4187 +2025-07-02 04:54:08,346 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:00:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4053, loss: 0.4053 +2025-07-02 04:54:23,756 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:00:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 04:54:39,187 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:00:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9869, loss_cls: 0.4233, loss: 0.4233 +2025-07-02 04:54:54,582 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 4:59:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9894, loss_cls: 0.4291, loss: 0.4291 +2025-07-02 04:55:10,060 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 4:59:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4363, loss: 0.4363 +2025-07-02 04:55:25,528 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 4:59:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4222, loss: 0.4222 +2025-07-02 04:55:38,153 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 04:56:01,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:56:01,182 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9889 +2025-07-02 04:56:01,183 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.8735, top5_acc: 0.9889 +2025-07-02 04:56:38,080 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 4:59:08, time: 0.369, data_time: 0.212, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4241, loss: 0.4241 +2025-07-02 04:56:53,523 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 4:58:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3965, loss: 0.3965 +2025-07-02 04:57:08,914 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 4:58:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.4100, loss: 0.4100 +2025-07-02 04:57:24,406 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 4:58:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4018, loss: 0.4018 +2025-07-02 04:57:39,886 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 4:58:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4508, loss: 0.4508 +2025-07-02 04:57:55,312 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:57:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 04:58:10,704 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:57:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4325, loss: 0.4325 +2025-07-02 04:58:26,093 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:57:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3923, loss: 0.3923 +2025-07-02 04:58:41,466 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:56:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4366, loss: 0.4366 +2025-07-02 04:58:56,959 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:56:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4747, loss: 0.4747 +2025-07-02 04:59:12,539 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:56:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4553, loss: 0.4553 +2025-07-02 04:59:25,184 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 04:59:48,030 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:59:48,041 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9930 +2025-07-02 04:59:48,041 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9112, top5_acc: 0.9930 +2025-07-02 05:00:25,268 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:56:03, time: 0.372, data_time: 0.215, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 05:00:40,766 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:55:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4213, loss: 0.4213 +2025-07-02 05:00:56,326 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:55:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.3819, loss: 0.3819 +2025-07-02 05:01:11,858 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:55:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4411, loss: 0.4411 +2025-07-02 05:01:27,295 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:54:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4318, loss: 0.4318 +2025-07-02 05:01:42,732 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:54:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 0.4027, loss: 0.4027 +2025-07-02 05:01:58,188 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:54:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 0.4287, loss: 0.4287 +2025-07-02 05:02:13,669 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:54:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4645, loss: 0.4645 +2025-07-02 05:02:29,131 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:53:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 05:02:44,628 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:53:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9856, loss_cls: 0.4734, loss: 0.4734 +2025-07-02 05:03:00,198 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:53:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4600, loss: 0.4600 +2025-07-02 05:03:12,949 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 05:03:35,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:03:35,610 - pyskl - INFO - +top1_acc 0.8750 +top5_acc 0.9889 +2025-07-02 05:03:35,610 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.8750, top5_acc: 0.9889 +2025-07-02 05:04:13,423 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:53:00, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3729, loss: 0.3729 +2025-07-02 05:04:28,981 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:52:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4330, loss: 0.4330 +2025-07-02 05:04:44,450 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:52:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3195, loss: 0.3195 +2025-07-02 05:04:59,828 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:52:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9881, loss_cls: 0.4224, loss: 0.4224 +2025-07-02 05:05:15,286 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:51:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4322, loss: 0.4322 +2025-07-02 05:05:30,980 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:51:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4426, loss: 0.4426 +2025-07-02 05:05:46,503 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:51:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4246, loss: 0.4246 +2025-07-02 05:06:01,980 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:51:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4793, loss: 0.4793 +2025-07-02 05:06:17,413 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:50:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4573, loss: 0.4573 +2025-07-02 05:06:32,952 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:50:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.4943, loss: 0.4943 +2025-07-02 05:06:48,481 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:50:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4284, loss: 0.4284 +2025-07-02 05:07:01,318 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 05:07:24,030 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:07:24,041 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9945 +2025-07-02 05:07:24,041 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.8979, top5_acc: 0.9945 +2025-07-02 05:08:01,351 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:49:56, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9900, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 05:08:16,747 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:49:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4481, loss: 0.4481 +2025-07-02 05:08:32,296 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:49:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 05:08:47,720 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:49:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3779, loss: 0.3779 +2025-07-02 05:09:03,141 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:48:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 05:09:18,717 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:48:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.4072, loss: 0.4072 +2025-07-02 05:09:34,219 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:48:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 05:09:49,640 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:47:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4682, loss: 0.4682 +2025-07-02 05:10:04,987 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:47:40, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 05:10:20,317 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:47:22, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.4596, loss: 0.4596 +2025-07-02 05:10:35,710 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:47:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3992, loss: 0.3992 +2025-07-02 05:10:48,373 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 05:11:11,129 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:11:11,139 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9915 +2025-07-02 05:11:11,139 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.8976, top5_acc: 0.9915 +2025-07-02 05:11:48,349 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:46:50, time: 0.372, data_time: 0.215, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.4011, loss: 0.4011 +2025-07-02 05:12:03,706 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:46:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4411, loss: 0.4411 +2025-07-02 05:12:19,095 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:46:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9981, loss_cls: 0.3868, loss: 0.3868 +2025-07-02 05:12:34,442 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:45:59, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3245, loss: 0.3245 +2025-07-02 05:12:50,044 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:45:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4168, loss: 0.4168 +2025-07-02 05:13:05,566 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:45:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4274, loss: 0.4274 +2025-07-02 05:13:20,998 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:45:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3162, loss: 0.3162 +2025-07-02 05:13:36,405 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:44:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 05:13:51,791 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:44:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.4038, loss: 0.4038 +2025-07-02 05:14:07,214 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:44:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4332, loss: 0.4332 +2025-07-02 05:14:22,818 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:44:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4135, loss: 0.4135 +2025-07-02 05:14:35,435 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 05:14:58,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:14:58,454 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9945 +2025-07-02 05:14:58,458 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_52.pth was removed +2025-07-02 05:14:58,572 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_60.pth. +2025-07-02 05:14:58,573 - pyskl - INFO - Best top1_acc is 0.9279 at 60 epoch. +2025-07-02 05:14:58,573 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9279, top5_acc: 0.9945 +2025-07-02 05:15:36,074 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:43:45, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 0.4497, loss: 0.4497 +2025-07-02 05:15:51,429 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:43:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3603, loss: 0.3603 +2025-07-02 05:16:06,816 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:43:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3441, loss: 0.3441 +2025-07-02 05:16:22,196 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:42:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.3943, loss: 0.3943 +2025-07-02 05:16:37,565 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:42:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3711, loss: 0.3711 +2025-07-02 05:16:52,939 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:42:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 0.3688, loss: 0.3688 +2025-07-02 05:17:08,281 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:42:02, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 0.4333, loss: 0.4333 +2025-07-02 05:17:23,553 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:41:45, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4383, loss: 0.4383 +2025-07-02 05:17:38,909 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:41:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4837, loss: 0.4837 +2025-07-02 05:17:54,228 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:41:10, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9969, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 05:18:09,624 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:40:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.3982, loss: 0.3982 +2025-07-02 05:18:22,448 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 05:18:45,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:18:45,420 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9926 +2025-07-02 05:18:45,420 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9094, top5_acc: 0.9926 +2025-07-02 05:19:23,038 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:40:38, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3592, loss: 0.3592 +2025-07-02 05:19:38,652 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:40:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3755, loss: 0.3755 +2025-07-02 05:19:54,299 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:40:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.3965, loss: 0.3965 +2025-07-02 05:20:09,805 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:39:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4598, loss: 0.4598 +2025-07-02 05:20:25,477 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:39:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3820, loss: 0.3820 +2025-07-02 05:20:41,023 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:39:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.3973, loss: 0.3973 +2025-07-02 05:20:56,495 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:38:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4128, loss: 0.4128 +2025-07-02 05:21:11,946 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:38:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4185, loss: 0.4185 +2025-07-02 05:21:27,303 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:38:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 0.4295, loss: 0.4295 +2025-07-02 05:21:42,698 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:38:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.3954, loss: 0.3954 +2025-07-02 05:21:58,161 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:37:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4329, loss: 0.4329 +2025-07-02 05:22:10,812 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 05:22:34,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:22:34,292 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9952 +2025-07-02 05:22:34,292 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9168, top5_acc: 0.9952 +2025-07-02 05:23:11,806 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:37:33, time: 0.375, data_time: 0.218, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3603, loss: 0.3603 +2025-07-02 05:23:27,348 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:37:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3752, loss: 0.3752 +2025-07-02 05:23:43,035 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:37:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3712, loss: 0.3712 +2025-07-02 05:23:58,584 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:36:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4144, loss: 0.4144 +2025-07-02 05:24:14,291 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:36:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.3760, loss: 0.3760 +2025-07-02 05:24:29,839 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:36:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3847, loss: 0.3847 +2025-07-02 05:24:45,457 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:35:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.4355, loss: 0.4355 +2025-07-02 05:25:01,002 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:35:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 0.4389, loss: 0.4389 +2025-07-02 05:25:16,492 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:35:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 0.3928, loss: 0.3928 +2025-07-02 05:25:32,022 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:35:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3675, loss: 0.3675 +2025-07-02 05:25:47,520 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:34:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3622, loss: 0.3622 +2025-07-02 05:26:00,117 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 05:26:23,067 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:26:23,078 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9937 +2025-07-02 05:26:23,078 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.8902, top5_acc: 0.9937 +2025-07-02 05:27:00,813 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:34:29, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3338, loss: 0.3338 +2025-07-02 05:27:16,398 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:34:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3460, loss: 0.3460 +2025-07-02 05:27:31,929 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:33:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.3115, loss: 0.3115 +2025-07-02 05:27:47,469 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:33:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 05:28:03,094 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:33:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3461, loss: 0.3461 +2025-07-02 05:28:18,712 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:33:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3888, loss: 0.3888 +2025-07-02 05:28:34,450 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:32:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4118, loss: 0.4118 +2025-07-02 05:28:50,029 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:32:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3758, loss: 0.3758 +2025-07-02 05:29:05,579 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:32:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3463, loss: 0.3463 +2025-07-02 05:29:21,288 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:31:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 0.4310, loss: 0.4310 +2025-07-02 05:29:36,883 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:31:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3653, loss: 0.3653 +2025-07-02 05:29:49,701 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 05:30:12,403 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:30:12,413 - pyskl - INFO - +top1_acc 0.8879 +top5_acc 0.9889 +2025-07-02 05:30:12,414 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.8879, top5_acc: 0.9889 +2025-07-02 05:30:49,987 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:31:25, time: 0.376, data_time: 0.219, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3622, loss: 0.3622 +2025-07-02 05:31:05,461 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:31:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3121, loss: 0.3121 +2025-07-02 05:31:20,844 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:30:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.3965, loss: 0.3965 +2025-07-02 05:31:36,157 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:30:34, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4219, loss: 0.4219 +2025-07-02 05:31:51,620 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:30:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 05:32:07,207 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:30:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4302, loss: 0.4302 +2025-07-02 05:32:22,672 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:29:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.4031, loss: 0.4031 +2025-07-02 05:32:38,173 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:29:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.4005, loss: 0.4005 +2025-07-02 05:32:53,594 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:29:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4215, loss: 0.4215 +2025-07-02 05:33:09,092 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:28:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.3840, loss: 0.3840 +2025-07-02 05:33:24,425 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:28:36, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.3945, loss: 0.3945 +2025-07-02 05:33:37,006 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 05:33:59,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:33:59,835 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9937 +2025-07-02 05:33:59,836 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9223, top5_acc: 0.9937 +2025-07-02 05:34:37,001 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:28:18, time: 0.372, data_time: 0.215, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3418, loss: 0.3418 +2025-07-02 05:34:52,310 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:28:01, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3428, loss: 0.3428 +2025-07-02 05:35:07,718 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:27:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 0.3485, loss: 0.3485 +2025-07-02 05:35:23,119 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:27:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 05:35:38,582 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:27:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3878, loss: 0.3878 +2025-07-02 05:35:54,077 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:26:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 0.3930, loss: 0.3930 +2025-07-02 05:36:09,517 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:26:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 05:36:24,770 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:26:20, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3763, loss: 0.3763 +2025-07-02 05:36:40,069 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:26:02, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4146, loss: 0.4146 +2025-07-02 05:36:55,382 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:25:45, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 0.4541, loss: 0.4541 +2025-07-02 05:37:10,646 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:25:28, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4257, loss: 0.4257 +2025-07-02 05:37:23,381 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 05:37:46,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:37:46,142 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9963 +2025-07-02 05:37:46,142 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9075, top5_acc: 0.9963 +2025-07-02 05:38:23,785 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:25:11, time: 0.376, data_time: 0.219, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3516, loss: 0.3516 +2025-07-02 05:38:39,190 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:24:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3778, loss: 0.3778 +2025-07-02 05:38:54,784 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:24:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3136, loss: 0.3136 +2025-07-02 05:39:10,273 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:24:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3367, loss: 0.3367 +2025-07-02 05:39:25,804 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:24:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9912, loss_cls: 0.3698, loss: 0.3698 +2025-07-02 05:39:41,230 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:23:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3585, loss: 0.3585 +2025-07-02 05:39:56,739 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:23:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 05:40:12,400 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:23:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4334, loss: 0.4334 +2025-07-02 05:40:27,960 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:22:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.4135, loss: 0.4135 +2025-07-02 05:40:43,488 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:22:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3291, loss: 0.3291 +2025-07-02 05:40:59,028 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:22:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3445, loss: 0.3445 +2025-07-02 05:41:11,776 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 05:41:34,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:41:34,578 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9956 +2025-07-02 05:41:34,578 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9190, top5_acc: 0.9956 +2025-07-02 05:42:12,236 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:22:05, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 05:42:27,884 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:21:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3397, loss: 0.3397 +2025-07-02 05:42:43,645 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:21:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3530, loss: 0.3530 +2025-07-02 05:42:59,314 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:21:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3698, loss: 0.3698 +2025-07-02 05:43:14,844 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:20:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9975, loss_cls: 0.3175, loss: 0.3175 +2025-07-02 05:43:30,549 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:20:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3657, loss: 0.3657 +2025-07-02 05:43:46,191 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:20:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3466, loss: 0.3466 +2025-07-02 05:44:01,709 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:20:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3836, loss: 0.3836 +2025-07-02 05:44:17,158 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:19:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3529, loss: 0.3529 +2025-07-02 05:44:32,688 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:19:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4099, loss: 0.4099 +2025-07-02 05:44:48,303 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:19:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4067, loss: 0.4067 +2025-07-02 05:45:01,021 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 05:45:23,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:45:23,653 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9956 +2025-07-02 05:45:23,653 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9146, top5_acc: 0.9956 +2025-07-02 05:46:01,275 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:19:01, time: 0.376, data_time: 0.220, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 05:46:16,589 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:18:44, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3365, loss: 0.3365 +2025-07-02 05:46:32,064 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:18:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.3094, loss: 0.3094 +2025-07-02 05:46:47,481 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:18:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9900, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 05:47:02,856 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:17:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3175, loss: 0.3175 +2025-07-02 05:47:18,222 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:17:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3406, loss: 0.3406 +2025-07-02 05:47:33,694 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:17:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3668, loss: 0.3668 +2025-07-02 05:47:49,144 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:17:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.4212, loss: 0.4212 +2025-07-02 05:48:04,592 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:16:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.3796, loss: 0.3796 +2025-07-02 05:48:20,098 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:16:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 0.3603, loss: 0.3603 +2025-07-02 05:48:35,549 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:16:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3492, loss: 0.3492 +2025-07-02 05:48:48,129 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 05:49:10,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:49:10,732 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9933 +2025-07-02 05:49:10,732 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.8924, top5_acc: 0.9933 +2025-07-02 05:49:48,207 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:15:53, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2974, loss: 0.2974 +2025-07-02 05:50:03,661 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:15:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3027, loss: 0.3027 +2025-07-02 05:50:19,398 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:15:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3316, loss: 0.3316 +2025-07-02 05:50:34,906 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:15:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4085, loss: 0.4085 +2025-07-02 05:50:50,368 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:14:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 05:51:05,791 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:14:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2948, loss: 0.2948 +2025-07-02 05:51:21,144 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:14:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3415, loss: 0.3415 +2025-07-02 05:51:36,562 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:13:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3581, loss: 0.3581 +2025-07-02 05:51:52,026 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:13:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3811, loss: 0.3811 +2025-07-02 05:52:07,528 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:13:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3526, loss: 0.3526 +2025-07-02 05:52:22,943 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:13:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9919, loss_cls: 0.3896, loss: 0.3896 +2025-07-02 05:52:35,715 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 05:52:57,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:52:58,003 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9945 +2025-07-02 05:52:58,003 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9068, top5_acc: 0.9945 +2025-07-02 05:53:35,419 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:12:46, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.3060, loss: 0.3060 +2025-07-02 05:53:50,925 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:12:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 05:54:06,493 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:12:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9988, loss_cls: 0.3388, loss: 0.3388 +2025-07-02 05:54:21,759 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:11:56, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.3302, loss: 0.3302 +2025-07-02 05:54:37,150 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:11:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.3672, loss: 0.3672 +2025-07-02 05:54:52,655 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:11:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3310, loss: 0.3310 +2025-07-02 05:55:08,182 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:11:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 0.3230, loss: 0.3230 +2025-07-02 05:55:23,638 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:10:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3483, loss: 0.3483 +2025-07-02 05:55:39,040 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:10:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3757, loss: 0.3757 +2025-07-02 05:55:54,358 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:10:14, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3775, loss: 0.3775 +2025-07-02 05:56:09,796 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:09:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3679, loss: 0.3679 +2025-07-02 05:56:22,442 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 05:56:44,954 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:56:44,964 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9926 +2025-07-02 05:56:44,965 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9124, top5_acc: 0.9926 +2025-07-02 05:57:22,384 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:09:39, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3396, loss: 0.3396 +2025-07-02 05:57:37,858 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:09:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3297, loss: 0.3297 +2025-07-02 05:57:53,294 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:09:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 05:58:08,711 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:08:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3071, loss: 0.3071 +2025-07-02 05:58:24,143 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:08:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 05:58:39,735 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:08:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.3797, loss: 0.3797 +2025-07-02 05:58:55,231 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:07:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 05:59:10,746 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:07:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4050, loss: 0.4050 +2025-07-02 05:59:26,246 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:07:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3607, loss: 0.3607 +2025-07-02 05:59:41,747 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:07:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 05:59:57,214 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:06:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 0.3790, loss: 0.3790 +2025-07-02 06:00:09,768 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 06:00:32,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:00:32,422 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9948 +2025-07-02 06:00:32,423 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9094, top5_acc: 0.9948 +2025-07-02 06:01:10,016 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:06:32, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3440, loss: 0.3440 +2025-07-02 06:01:25,472 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:06:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3403, loss: 0.3403 +2025-07-02 06:01:40,939 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:05:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.2803, loss: 0.2803 +2025-07-02 06:01:56,454 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:05:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3506, loss: 0.3506 +2025-07-02 06:02:11,959 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:05:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3029, loss: 0.3029 +2025-07-02 06:02:27,469 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:05:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3710, loss: 0.3710 +2025-07-02 06:02:42,879 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:04:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 0.3230, loss: 0.3230 +2025-07-02 06:02:58,324 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:04:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3650, loss: 0.3650 +2025-07-02 06:03:13,803 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:04:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 06:03:29,366 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:04:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3293, loss: 0.3293 +2025-07-02 06:03:44,895 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:03:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9925, loss_cls: 0.3228, loss: 0.3228 +2025-07-02 06:03:57,560 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 06:04:20,337 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:04:20,347 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9919 +2025-07-02 06:04:20,348 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9009, top5_acc: 0.9919 +2025-07-02 06:04:57,687 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:03:24, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.3024, loss: 0.3024 +2025-07-02 06:05:13,147 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:03:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.2862, loss: 0.2862 +2025-07-02 06:05:28,625 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:02:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3298, loss: 0.3298 +2025-07-02 06:05:44,224 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:02:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3211, loss: 0.3211 +2025-07-02 06:05:59,713 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:02:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 0.3410, loss: 0.3410 +2025-07-02 06:06:15,160 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:02:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3339, loss: 0.3339 +2025-07-02 06:06:30,696 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:01:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3094, loss: 0.3094 +2025-07-02 06:06:46,093 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:01:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3713, loss: 0.3713 +2025-07-02 06:07:01,505 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:01:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4007, loss: 0.4007 +2025-07-02 06:07:16,972 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:00:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 0.3346, loss: 0.3346 +2025-07-02 06:07:32,431 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:00:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3891, loss: 0.3891 +2025-07-02 06:07:44,967 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 06:08:08,039 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:08:08,049 - pyskl - INFO - +top1_acc 0.9142 +top5_acc 0.9956 +2025-07-02 06:08:08,050 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9142, top5_acc: 0.9956 +2025-07-02 06:08:45,370 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:00:17, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3327, loss: 0.3327 +2025-07-02 06:09:00,766 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:00:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 06:09:16,203 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 3:59:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2816, loss: 0.2816 +2025-07-02 06:09:31,699 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 3:59:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2869, loss: 0.2869 +2025-07-02 06:09:47,369 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 3:59:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3539, loss: 0.3539 +2025-07-02 06:10:02,947 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 3:58:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 06:10:18,466 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 3:58:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.3418, loss: 0.3418 +2025-07-02 06:10:34,019 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:58:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4156, loss: 0.4156 +2025-07-02 06:10:49,731 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:58:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3547, loss: 0.3547 +2025-07-02 06:11:05,298 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:57:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3520, loss: 0.3520 +2025-07-02 06:11:20,755 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:57:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3410, loss: 0.3410 +2025-07-02 06:11:33,413 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 06:11:56,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:11:56,403 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9930 +2025-07-02 06:11:56,403 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9149, top5_acc: 0.9930 +2025-07-02 06:12:33,793 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:57:10, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.3003, loss: 0.3003 +2025-07-02 06:12:49,151 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:56:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 0.2905, loss: 0.2905 +2025-07-02 06:13:04,465 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:56:36, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2884, loss: 0.2884 +2025-07-02 06:13:19,990 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:56:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.3684, loss: 0.3684 +2025-07-02 06:13:35,368 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:56:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3525, loss: 0.3525 +2025-07-02 06:13:50,959 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:55:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2767, loss: 0.2767 +2025-07-02 06:14:06,625 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:55:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.3301, loss: 0.3301 +2025-07-02 06:14:22,144 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:55:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2765, loss: 0.2765 +2025-07-02 06:14:37,713 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:54:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3761, loss: 0.3761 +2025-07-02 06:14:53,344 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:54:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3411, loss: 0.3411 +2025-07-02 06:15:08,888 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:54:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3354, loss: 0.3354 +2025-07-02 06:15:21,590 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 06:15:44,106 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:15:44,116 - pyskl - INFO - +top1_acc 0.9035 +top5_acc 0.9948 +2025-07-02 06:15:44,117 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9035, top5_acc: 0.9948 +2025-07-02 06:16:21,685 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:54:02, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2997, loss: 0.2997 +2025-07-02 06:16:37,032 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:53:45, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2872, loss: 0.2872 +2025-07-02 06:16:52,461 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:53:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2687, loss: 0.2687 +2025-07-02 06:17:08,159 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:53:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3481, loss: 0.3481 +2025-07-02 06:17:23,570 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:52:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.3072, loss: 0.3072 +2025-07-02 06:17:39,126 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:52:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 06:17:54,756 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:52:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2964, loss: 0.2964 +2025-07-02 06:18:10,329 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:52:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.2958, loss: 0.2958 +2025-07-02 06:18:25,882 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:51:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3485, loss: 0.3485 +2025-07-02 06:18:41,494 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:51:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3006, loss: 0.3006 +2025-07-02 06:18:57,041 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:51:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 06:19:09,839 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 06:19:32,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:19:32,149 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9908 +2025-07-02 06:19:32,153 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_60.pth was removed +2025-07-02 06:19:32,265 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-02 06:19:32,266 - pyskl - INFO - Best top1_acc is 0.9327 at 77 epoch. +2025-07-02 06:19:32,266 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9327, top5_acc: 0.9908 +2025-07-02 06:20:09,976 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:50:55, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3262, loss: 0.3262 +2025-07-02 06:20:25,380 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:50:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2641, loss: 0.2641 +2025-07-02 06:20:40,798 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:50:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2690, loss: 0.2690 +2025-07-02 06:20:56,382 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:50:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.2971, loss: 0.2971 +2025-07-02 06:21:11,687 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:49:48, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3381, loss: 0.3381 +2025-07-02 06:21:27,082 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:49:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 06:21:42,564 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:49:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3244, loss: 0.3244 +2025-07-02 06:21:57,974 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:48:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2994, loss: 0.2994 +2025-07-02 06:22:13,458 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:48:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3329, loss: 0.3329 +2025-07-02 06:22:28,950 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:48:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2875, loss: 0.2875 +2025-07-02 06:22:44,389 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:48:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.2890, loss: 0.2890 +2025-07-02 06:22:57,055 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 06:23:19,344 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:23:19,354 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9926 +2025-07-02 06:23:19,355 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9146, top5_acc: 0.9926 +2025-07-02 06:23:56,750 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:47:47, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3074, loss: 0.3074 +2025-07-02 06:24:12,297 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:47:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.2939, loss: 0.2939 +2025-07-02 06:24:27,823 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:47:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3158, loss: 0.3158 +2025-07-02 06:24:43,396 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:46:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9912, loss_cls: 0.3265, loss: 0.3265 +2025-07-02 06:24:58,973 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:46:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3093, loss: 0.3093 +2025-07-02 06:25:14,630 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:46:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2876, loss: 0.2876 +2025-07-02 06:25:30,013 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:46:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 06:25:45,444 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:45:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2991, loss: 0.2991 +2025-07-02 06:26:00,836 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:45:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2927, loss: 0.2927 +2025-07-02 06:26:16,299 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:45:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 0.3133, loss: 0.3133 +2025-07-02 06:26:31,668 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:45:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3261, loss: 0.3261 +2025-07-02 06:26:44,253 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 06:27:06,862 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:27:06,872 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9948 +2025-07-02 06:27:06,872 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9209, top5_acc: 0.9948 +2025-07-02 06:27:44,019 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:44:39, time: 0.371, data_time: 0.215, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2595, loss: 0.2595 +2025-07-02 06:27:59,354 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:44:22, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2620, loss: 0.2620 +2025-07-02 06:28:14,757 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:44:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2476, loss: 0.2476 +2025-07-02 06:28:30,302 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:43:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 0.2914, loss: 0.2914 +2025-07-02 06:28:45,752 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:43:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2561, loss: 0.2561 +2025-07-02 06:29:01,135 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:43:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3330, loss: 0.3330 +2025-07-02 06:29:16,518 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:42:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.3158, loss: 0.3158 +2025-07-02 06:29:31,938 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:42:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3504, loss: 0.3504 +2025-07-02 06:29:47,233 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:42:24, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2536, loss: 0.2536 +2025-07-02 06:30:02,760 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:42:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3155, loss: 0.3155 +2025-07-02 06:30:18,318 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:41:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3274, loss: 0.3274 +2025-07-02 06:30:31,005 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 06:30:53,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:30:53,582 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9900 +2025-07-02 06:30:53,582 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9216, top5_acc: 0.9900 +2025-07-02 06:31:30,942 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:41:30, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3128, loss: 0.3128 +2025-07-02 06:31:46,391 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:41:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2275, loss: 0.2275 +2025-07-02 06:32:01,836 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:40:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2533, loss: 0.2533 +2025-07-02 06:32:17,315 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:40:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.2947, loss: 0.2947 +2025-07-02 06:32:32,878 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:40:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3021, loss: 0.3021 +2025-07-02 06:32:48,576 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:40:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2750, loss: 0.2750 +2025-07-02 06:33:04,182 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:39:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3089, loss: 0.3089 +2025-07-02 06:33:19,644 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:39:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 06:33:35,152 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:39:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2861, loss: 0.2861 +2025-07-02 06:33:50,757 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:39:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2980, loss: 0.2980 +2025-07-02 06:34:06,147 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:38:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3192, loss: 0.3192 +2025-07-02 06:34:18,799 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 06:34:41,838 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:34:41,848 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9967 +2025-07-02 06:34:41,849 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9149, top5_acc: 0.9967 +2025-07-02 06:35:18,941 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:38:22, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2972, loss: 0.2972 +2025-07-02 06:35:34,420 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:38:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.2855, loss: 0.2855 +2025-07-02 06:35:49,835 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:37:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2890, loss: 0.2890 +2025-07-02 06:36:05,213 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:37:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2534, loss: 0.2534 +2025-07-02 06:36:20,671 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:37:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2563, loss: 0.2563 +2025-07-02 06:36:36,103 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:36:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2824, loss: 0.2824 +2025-07-02 06:36:51,515 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:36:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3106, loss: 0.3106 +2025-07-02 06:37:07,259 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:36:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3183, loss: 0.3183 +2025-07-02 06:37:22,769 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:36:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3055, loss: 0.3055 +2025-07-02 06:37:38,289 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:35:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3006, loss: 0.3006 +2025-07-02 06:37:53,674 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:35:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.2956, loss: 0.2956 +2025-07-02 06:38:06,329 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 06:38:29,929 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:38:29,939 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9956 +2025-07-02 06:38:29,940 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9271, top5_acc: 0.9956 +2025-07-02 06:39:07,262 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:35:13, time: 0.373, data_time: 0.217, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2637, loss: 0.2637 +2025-07-02 06:39:22,500 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:34:56, time: 0.152, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2435, loss: 0.2435 +2025-07-02 06:39:37,739 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:34:39, time: 0.152, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2369, loss: 0.2369 +2025-07-02 06:39:53,072 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:34:23, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2731, loss: 0.2731 +2025-07-02 06:40:08,697 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:34:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3083, loss: 0.3083 +2025-07-02 06:40:24,215 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:33:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3152, loss: 0.3152 +2025-07-02 06:40:39,769 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:33:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3163, loss: 0.3163 +2025-07-02 06:40:55,606 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:33:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 06:41:11,059 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:33:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9925, loss_cls: 0.2972, loss: 0.2972 +2025-07-02 06:41:26,689 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:32:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 06:41:42,090 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:32:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3692, loss: 0.3692 +2025-07-02 06:41:54,669 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 06:42:17,549 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:42:17,559 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9919 +2025-07-02 06:42:17,560 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9168, top5_acc: 0.9919 +2025-07-02 06:42:54,823 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:32:05, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2748, loss: 0.2748 +2025-07-02 06:43:10,666 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:31:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2728, loss: 0.2728 +2025-07-02 06:43:26,073 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:31:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2286, loss: 0.2286 +2025-07-02 06:43:41,459 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:31:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2720, loss: 0.2720 +2025-07-02 06:43:57,048 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:30:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.3081, loss: 0.3081 +2025-07-02 06:44:12,585 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:30:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9931, loss_cls: 0.2874, loss: 0.2874 +2025-07-02 06:44:28,140 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:30:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2458, loss: 0.2458 +2025-07-02 06:44:43,893 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:30:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.3000, loss: 0.3000 +2025-07-02 06:44:59,426 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:29:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2934, loss: 0.2934 +2025-07-02 06:45:14,861 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:29:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.2789, loss: 0.2789 +2025-07-02 06:45:30,210 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:29:18, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2610, loss: 0.2610 +2025-07-02 06:45:42,880 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 06:46:06,149 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:46:06,160 - pyskl - INFO - +top1_acc 0.8950 +top5_acc 0.9956 +2025-07-02 06:46:06,160 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.8950, top5_acc: 0.9956 +2025-07-02 06:46:43,478 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:28:56, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2364, loss: 0.2364 +2025-07-02 06:46:58,936 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:28:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2485, loss: 0.2485 +2025-07-02 06:47:14,417 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:28:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2121, loss: 0.2121 +2025-07-02 06:47:29,877 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:28:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3294, loss: 0.3294 +2025-07-02 06:47:45,343 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:27:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3161, loss: 0.3161 +2025-07-02 06:48:00,797 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:27:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2543, loss: 0.2543 +2025-07-02 06:48:16,245 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:27:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2332, loss: 0.2332 +2025-07-02 06:48:31,751 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:27:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3201, loss: 0.3201 +2025-07-02 06:48:47,267 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:26:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.3171, loss: 0.3171 +2025-07-02 06:49:02,793 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:26:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2902, loss: 0.2902 +2025-07-02 06:49:18,326 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:26:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3149, loss: 0.3149 +2025-07-02 06:49:31,045 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 06:49:54,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:49:54,106 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9948 +2025-07-02 06:49:54,107 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9186, top5_acc: 0.9948 +2025-07-02 06:50:31,297 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:25:48, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2619, loss: 0.2619 +2025-07-02 06:50:46,762 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:25:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2591, loss: 0.2591 +2025-07-02 06:51:02,177 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:25:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2296, loss: 0.2296 +2025-07-02 06:51:17,767 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:24:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3059, loss: 0.3059 +2025-07-02 06:51:33,217 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:24:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2453, loss: 0.2453 +2025-07-02 06:51:48,740 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:24:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2679, loss: 0.2679 +2025-07-02 06:52:04,300 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:24:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2737, loss: 0.2737 +2025-07-02 06:52:19,830 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:23:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.2983, loss: 0.2983 +2025-07-02 06:52:35,431 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:23:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2731, loss: 0.2731 +2025-07-02 06:52:50,863 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:23:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2556, loss: 0.2556 +2025-07-02 06:53:06,228 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:23:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2620, loss: 0.2620 +2025-07-02 06:53:18,950 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 06:53:42,058 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:53:42,069 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9959 +2025-07-02 06:53:42,069 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9231, top5_acc: 0.9959 +2025-07-02 06:54:19,381 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:22:39, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2475, loss: 0.2475 +2025-07-02 06:54:34,950 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:22:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2344, loss: 0.2344 +2025-07-02 06:54:50,473 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:22:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2578, loss: 0.2578 +2025-07-02 06:55:06,045 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:21:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 06:55:21,628 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:21:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2358, loss: 0.2358 +2025-07-02 06:55:37,056 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:21:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2766, loss: 0.2766 +2025-07-02 06:55:52,506 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:20:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2812, loss: 0.2812 +2025-07-02 06:56:08,114 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:20:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2701, loss: 0.2701 +2025-07-02 06:56:23,751 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:20:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2631, loss: 0.2631 +2025-07-02 06:56:39,311 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:20:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2339, loss: 0.2339 +2025-07-02 06:56:54,821 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:19:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2654, loss: 0.2654 +2025-07-02 06:57:07,463 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 06:57:30,578 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:57:30,589 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9926 +2025-07-02 06:57:30,589 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9172, top5_acc: 0.9926 +2025-07-02 06:58:08,195 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:19:31, time: 0.376, data_time: 0.219, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2653, loss: 0.2653 +2025-07-02 06:58:23,536 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:19:14, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2494, loss: 0.2494 +2025-07-02 06:58:38,884 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:18:57, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2472, loss: 0.2472 +2025-07-02 06:58:54,267 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:18:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2554, loss: 0.2554 +2025-07-02 06:59:09,714 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:18:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2504, loss: 0.2504 +2025-07-02 06:59:25,142 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:18:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2428, loss: 0.2428 +2025-07-02 06:59:40,605 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:17:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2365, loss: 0.2365 +2025-07-02 06:59:56,013 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:17:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3002, loss: 0.3002 +2025-07-02 07:00:11,517 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:17:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2627, loss: 0.2627 +2025-07-02 07:00:27,028 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:17:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2754, loss: 0.2754 +2025-07-02 07:00:42,546 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:16:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2507, loss: 0.2507 +2025-07-02 07:00:55,153 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 07:01:18,158 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:01:18,169 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9930 +2025-07-02 07:01:18,169 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9146, top5_acc: 0.9930 +2025-07-02 07:01:55,642 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:16:21, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2902, loss: 0.2902 +2025-07-02 07:02:11,248 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:16:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2087, loss: 0.2087 +2025-07-02 07:02:26,890 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:15:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1890, loss: 0.1890 +2025-07-02 07:02:42,385 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:15:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2493, loss: 0.2493 +2025-07-02 07:02:57,837 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:15:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2497, loss: 0.2497 +2025-07-02 07:03:13,502 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:14:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2421, loss: 0.2421 +2025-07-02 07:03:29,480 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:14:42, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2230, loss: 0.2230 +2025-07-02 07:03:45,030 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:14:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2825, loss: 0.2825 +2025-07-02 07:04:00,552 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:14:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2757, loss: 0.2757 +2025-07-02 07:04:16,140 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:13:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9919, loss_cls: 0.3322, loss: 0.3322 +2025-07-02 07:04:31,620 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:13:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2443, loss: 0.2443 +2025-07-02 07:04:44,508 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 07:05:07,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:05:07,556 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9911 +2025-07-02 07:05:07,559 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_77.pth was removed +2025-07-02 07:05:07,675 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2025-07-02 07:05:07,676 - pyskl - INFO - Best top1_acc is 0.9349 at 89 epoch. +2025-07-02 07:05:07,677 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9349, top5_acc: 0.9911 +2025-07-02 07:05:44,768 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:13:13, time: 0.371, data_time: 0.214, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2528, loss: 0.2528 +2025-07-02 07:06:00,170 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:12:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2194, loss: 0.2194 +2025-07-02 07:06:15,594 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:12:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1802, loss: 0.1802 +2025-07-02 07:06:30,990 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:12:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2412, loss: 0.2412 +2025-07-02 07:06:46,480 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:12:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2561, loss: 0.2561 +2025-07-02 07:07:02,041 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:11:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2326, loss: 0.2326 +2025-07-02 07:07:17,639 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:11:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2616, loss: 0.2616 +2025-07-02 07:07:33,362 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:11:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.3077, loss: 0.3077 +2025-07-02 07:07:48,995 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:11:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2101, loss: 0.2101 +2025-07-02 07:08:04,326 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:10:44, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2278, loss: 0.2278 +2025-07-02 07:08:19,718 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:10:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2699, loss: 0.2699 +2025-07-02 07:08:32,389 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 07:08:55,556 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:08:55,569 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9963 +2025-07-02 07:08:55,570 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9301, top5_acc: 0.9963 +2025-07-02 07:09:32,581 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:10:04, time: 0.370, data_time: 0.213, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2264, loss: 0.2264 +2025-07-02 07:09:47,967 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:09:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2313, loss: 0.2313 +2025-07-02 07:10:03,319 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:09:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2153, loss: 0.2153 +2025-07-02 07:10:18,689 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:09:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2318, loss: 0.2318 +2025-07-02 07:10:34,141 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:08:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2183, loss: 0.2183 +2025-07-02 07:10:49,594 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:08:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2113, loss: 0.2113 +2025-07-02 07:11:05,165 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:08:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2169, loss: 0.2169 +2025-07-02 07:11:20,616 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:08:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9944, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 07:11:36,147 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:07:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2202, loss: 0.2202 +2025-07-02 07:11:51,589 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:07:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2440, loss: 0.2440 +2025-07-02 07:12:07,074 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:07:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 0.2434, loss: 0.2434 +2025-07-02 07:12:19,743 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 07:12:42,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:12:42,772 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9915 +2025-07-02 07:12:42,773 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9124, top5_acc: 0.9915 +2025-07-02 07:13:20,167 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:06:54, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9931, loss_cls: 0.2812, loss: 0.2812 +2025-07-02 07:13:35,557 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:06:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2811, loss: 0.2811 +2025-07-02 07:13:50,998 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:06:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 07:14:06,369 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:06:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2556, loss: 0.2556 +2025-07-02 07:14:21,778 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:05:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2391, loss: 0.2391 +2025-07-02 07:14:37,184 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:05:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1916, loss: 0.1916 +2025-07-02 07:14:52,727 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:05:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1650, loss: 0.1650 +2025-07-02 07:15:08,272 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:04:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2168, loss: 0.2168 +2025-07-02 07:15:23,734 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:04:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 07:15:39,192 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:04:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2014, loss: 0.2014 +2025-07-02 07:15:54,657 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:04:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2619, loss: 0.2619 +2025-07-02 07:16:07,528 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 07:16:30,485 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:16:30,495 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9956 +2025-07-02 07:16:30,499 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_89.pth was removed +2025-07-02 07:16:30,613 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2025-07-02 07:16:30,614 - pyskl - INFO - Best top1_acc is 0.9412 at 92 epoch. +2025-07-02 07:16:30,615 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9412, top5_acc: 0.9956 +2025-07-02 07:17:07,648 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:03:45, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2177, loss: 0.2177 +2025-07-02 07:17:23,140 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:03:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 07:17:38,582 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:03:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1847, loss: 0.1847 +2025-07-02 07:17:54,010 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:02:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2394, loss: 0.2394 +2025-07-02 07:18:09,437 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:02:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2185, loss: 0.2185 +2025-07-02 07:18:25,052 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:02:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2069, loss: 0.2069 +2025-07-02 07:18:40,594 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:02:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2162, loss: 0.2162 +2025-07-02 07:18:56,085 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:01:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2272, loss: 0.2272 +2025-07-02 07:19:11,537 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:01:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2083, loss: 0.2083 +2025-07-02 07:19:27,063 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:01:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2275, loss: 0.2275 +2025-07-02 07:19:42,481 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:00:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2707, loss: 0.2707 +2025-07-02 07:19:55,260 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 07:20:18,250 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:20:18,260 - pyskl - INFO - +top1_acc 0.8987 +top5_acc 0.9919 +2025-07-02 07:20:18,261 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.8987, top5_acc: 0.9919 +2025-07-02 07:20:55,882 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:00:36, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2148, loss: 0.2148 +2025-07-02 07:21:11,466 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:00:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1768, loss: 0.1768 +2025-07-02 07:21:27,007 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:00:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2067, loss: 0.2067 +2025-07-02 07:21:42,569 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 2:59:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 07:21:58,249 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 2:59:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1902, loss: 0.1902 +2025-07-02 07:22:13,721 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 2:59:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2254, loss: 0.2254 +2025-07-02 07:22:29,125 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 2:58:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2736, loss: 0.2736 +2025-07-02 07:22:44,519 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:58:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2521, loss: 0.2521 +2025-07-02 07:22:59,902 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:58:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2404, loss: 0.2404 +2025-07-02 07:23:15,320 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:58:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2254, loss: 0.2254 +2025-07-02 07:23:30,789 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:57:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1740, loss: 0.1740 +2025-07-02 07:23:43,522 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 07:24:06,272 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:24:06,282 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9959 +2025-07-02 07:24:06,282 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9253, top5_acc: 0.9959 +2025-07-02 07:24:43,620 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:57:26, time: 0.373, data_time: 0.217, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2178, loss: 0.2178 +2025-07-02 07:24:58,913 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:57:10, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2278, loss: 0.2278 +2025-07-02 07:25:14,213 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:56:53, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 07:25:29,565 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:56:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1948, loss: 0.1948 +2025-07-02 07:25:44,884 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:56:20, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2285, loss: 0.2285 +2025-07-02 07:26:00,426 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:56:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2300, loss: 0.2300 +2025-07-02 07:26:15,971 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:55:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2238, loss: 0.2238 +2025-07-02 07:26:31,528 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:55:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 07:26:47,022 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:55:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2194, loss: 0.2194 +2025-07-02 07:27:02,681 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:54:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2130, loss: 0.2130 +2025-07-02 07:27:18,208 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:54:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2307, loss: 0.2307 +2025-07-02 07:27:30,840 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 07:27:54,151 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:27:54,162 - pyskl - INFO - +top1_acc 0.9260 +top5_acc 0.9945 +2025-07-02 07:27:54,162 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9260, top5_acc: 0.9945 +2025-07-02 07:28:31,754 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:54:17, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1946, loss: 0.1946 +2025-07-02 07:28:47,211 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:54:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2392, loss: 0.2392 +2025-07-02 07:29:02,594 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:53:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1603, loss: 0.1603 +2025-07-02 07:29:17,982 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:53:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2274, loss: 0.2274 +2025-07-02 07:29:33,371 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:53:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2208, loss: 0.2208 +2025-07-02 07:29:48,916 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:52:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2266, loss: 0.2266 +2025-07-02 07:30:04,438 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:52:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1827, loss: 0.1827 +2025-07-02 07:30:19,859 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:52:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1973, loss: 0.1973 +2025-07-02 07:30:35,429 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:52:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2232, loss: 0.2232 +2025-07-02 07:30:50,917 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:51:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2099, loss: 0.2099 +2025-07-02 07:31:06,441 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:51:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2114, loss: 0.2114 +2025-07-02 07:31:19,041 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 07:31:42,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:31:42,336 - pyskl - INFO - +top1_acc 0.9305 +top5_acc 0.9952 +2025-07-02 07:31:42,336 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9305, top5_acc: 0.9952 +2025-07-02 07:32:19,347 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:51:07, time: 0.370, data_time: 0.213, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2448, loss: 0.2448 +2025-07-02 07:32:34,708 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:50:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2042, loss: 0.2042 +2025-07-02 07:32:50,040 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:50:34, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1683, loss: 0.1683 +2025-07-02 07:33:05,437 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:50:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2179, loss: 0.2179 +2025-07-02 07:33:20,788 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:50:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1732, loss: 0.1732 +2025-07-02 07:33:36,298 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:49:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1449, loss: 0.1449 +2025-07-02 07:33:51,672 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:49:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1805, loss: 0.1805 +2025-07-02 07:34:07,131 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:49:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1752, loss: 0.1752 +2025-07-02 07:34:22,637 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:48:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.1958, loss: 0.1958 +2025-07-02 07:34:38,169 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:48:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2509, loss: 0.2509 +2025-07-02 07:34:53,632 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:48:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2218, loss: 0.2218 +2025-07-02 07:35:06,423 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 07:35:29,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:35:29,785 - pyskl - INFO - +top1_acc 0.9183 +top5_acc 0.9933 +2025-07-02 07:35:29,786 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9183, top5_acc: 0.9933 +2025-07-02 07:36:06,979 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:47:57, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1798, loss: 0.1798 +2025-07-02 07:36:22,484 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:47:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2093, loss: 0.2093 +2025-07-02 07:36:38,097 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:47:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1722, loss: 0.1722 +2025-07-02 07:36:53,703 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:47:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.1836, loss: 0.1836 +2025-07-02 07:37:09,202 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:46:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1792, loss: 0.1792 +2025-07-02 07:37:24,621 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:46:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2077, loss: 0.2077 +2025-07-02 07:37:40,093 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:46:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.2052, loss: 0.2052 +2025-07-02 07:37:55,602 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:46:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1645, loss: 0.1645 +2025-07-02 07:38:11,339 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:45:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.1873, loss: 0.1873 +2025-07-02 07:38:26,853 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:45:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1838, loss: 0.1838 +2025-07-02 07:38:42,357 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:45:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9956, loss_cls: 0.2171, loss: 0.2171 +2025-07-02 07:38:54,920 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 07:39:18,085 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:39:18,096 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9874 +2025-07-02 07:39:18,097 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9131, top5_acc: 0.9874 +2025-07-02 07:39:55,152 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:44:48, time: 0.371, data_time: 0.214, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2139, loss: 0.2139 +2025-07-02 07:40:10,555 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:44:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.1996, loss: 0.1996 +2025-07-02 07:40:25,947 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:44:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1565, loss: 0.1565 +2025-07-02 07:40:41,331 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:43:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2147, loss: 0.2147 +2025-07-02 07:40:56,752 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:43:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1697, loss: 0.1697 +2025-07-02 07:41:12,226 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:43:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 07:41:27,681 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:43:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 07:41:43,102 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:42:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2169, loss: 0.2169 +2025-07-02 07:41:58,480 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:42:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1715, loss: 0.1715 +2025-07-02 07:42:13,998 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:42:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2162, loss: 0.2162 +2025-07-02 07:42:29,552 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:42:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2039, loss: 0.2039 +2025-07-02 07:42:42,155 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 07:43:05,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:43:05,462 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9959 +2025-07-02 07:43:05,466 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_92.pth was removed +2025-07-02 07:43:05,580 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2025-07-02 07:43:05,581 - pyskl - INFO - Best top1_acc is 0.9419 at 99 epoch. +2025-07-02 07:43:05,581 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9419, top5_acc: 0.9959 +2025-07-02 07:43:43,081 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:41:38, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1603, loss: 0.1603 +2025-07-02 07:43:58,619 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:41:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2132, loss: 0.2132 +2025-07-02 07:44:14,544 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:41:05, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1551, loss: 0.1551 +2025-07-02 07:44:30,000 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:40:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.2062, loss: 0.2062 +2025-07-02 07:44:45,478 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:40:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1955, loss: 0.1955 +2025-07-02 07:45:01,017 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:40:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1873, loss: 0.1873 +2025-07-02 07:45:16,774 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 07:45:32,316 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:39:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1675, loss: 0.1675 +2025-07-02 07:45:47,849 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:39:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2162, loss: 0.2162 +2025-07-02 07:46:03,541 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:39:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2087, loss: 0.2087 +2025-07-02 07:46:19,040 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:38:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2117, loss: 0.2117 +2025-07-02 07:46:32,127 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 07:46:55,766 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:46:55,777 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9956 +2025-07-02 07:46:55,777 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9194, top5_acc: 0.9956 +2025-07-02 07:47:33,196 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:38:29, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1925, loss: 0.1925 +2025-07-02 07:47:48,599 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:38:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1833, loss: 0.1833 +2025-07-02 07:48:04,111 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:37:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1519, loss: 0.1519 +2025-07-02 07:48:19,534 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:37:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1739, loss: 0.1739 +2025-07-02 07:48:35,031 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:37:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1782, loss: 0.1782 +2025-07-02 07:48:50,527 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:37:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1683, loss: 0.1683 +2025-07-02 07:49:06,034 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:36:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1769, loss: 0.1769 +2025-07-02 07:49:21,557 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:36:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1663, loss: 0.1663 +2025-07-02 07:49:37,215 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:36:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1633, loss: 0.1633 +2025-07-02 07:49:52,868 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1910, loss: 0.1910 +2025-07-02 07:50:08,515 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:35:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1760, loss: 0.1760 +2025-07-02 07:50:21,217 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 07:50:44,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:50:44,421 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9970 +2025-07-02 07:50:44,421 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9331, top5_acc: 0.9970 +2025-07-02 07:51:21,742 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:35:20, time: 0.373, data_time: 0.217, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1748, loss: 0.1748 +2025-07-02 07:51:37,154 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1275, loss: 0.1275 +2025-07-02 07:51:52,527 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:34:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1765, loss: 0.1765 +2025-07-02 07:52:07,913 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:34:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.1944, loss: 0.1944 +2025-07-02 07:52:23,312 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:34:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1804, loss: 0.1804 +2025-07-02 07:52:38,798 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:33:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1599, loss: 0.1599 +2025-07-02 07:52:54,225 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:33:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1626, loss: 0.1626 +2025-07-02 07:53:09,602 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:33:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1806, loss: 0.1806 +2025-07-02 07:53:24,972 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:33:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2048, loss: 0.2048 +2025-07-02 07:53:40,547 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:32:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1886, loss: 0.1886 +2025-07-02 07:53:55,985 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:32:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2053, loss: 0.2053 +2025-07-02 07:54:08,655 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 07:54:32,081 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:54:32,092 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9941 +2025-07-02 07:54:32,092 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9312, top5_acc: 0.9941 +2025-07-02 07:55:09,482 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:32:10, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 07:55:24,916 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:31:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 07:55:40,341 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:31:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1180, loss: 0.1180 +2025-07-02 07:55:55,727 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:31:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1843, loss: 0.1843 +2025-07-02 07:56:11,129 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1578, loss: 0.1578 +2025-07-02 07:56:26,662 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:30:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.1762, loss: 0.1762 +2025-07-02 07:56:42,173 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:30:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1662, loss: 0.1662 +2025-07-02 07:56:57,610 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:30:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.1742, loss: 0.1742 +2025-07-02 07:57:13,123 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:29:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.1962, loss: 0.1962 +2025-07-02 07:57:28,779 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:29:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 07:57:44,181 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:29:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 07:57:57,016 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 07:58:20,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:58:20,372 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9937 +2025-07-02 07:58:20,372 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9297, top5_acc: 0.9937 +2025-07-02 07:58:58,041 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:00, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1590, loss: 0.1590 +2025-07-02 07:59:13,421 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:28:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1435, loss: 0.1435 +2025-07-02 07:59:28,865 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:28:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1406, loss: 0.1406 +2025-07-02 07:59:44,252 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:28:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 07:59:59,612 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:27:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1418, loss: 0.1418 +2025-07-02 08:00:15,038 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:27:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1585, loss: 0.1585 +2025-07-02 08:00:30,523 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:27:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1705, loss: 0.1705 +2025-07-02 08:00:45,980 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2237, loss: 0.2237 +2025-07-02 08:01:01,496 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:26:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.1921, loss: 0.1921 +2025-07-02 08:01:17,038 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:26:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1683, loss: 0.1683 +2025-07-02 08:01:32,446 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:26:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1438, loss: 0.1438 +2025-07-02 08:01:45,189 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 08:02:08,414 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:02:08,424 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9926 +2025-07-02 08:02:08,425 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9234, top5_acc: 0.9926 +2025-07-02 08:02:45,945 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:25:50, time: 0.375, data_time: 0.219, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1603, loss: 0.1603 +2025-07-02 08:03:01,322 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:25:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1413, loss: 0.1413 +2025-07-02 08:03:16,697 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:25:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1499, loss: 0.1499 +2025-07-02 08:03:32,068 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1781, loss: 0.1781 +2025-07-02 08:03:47,453 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:24:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1592, loss: 0.1592 +2025-07-02 08:04:02,846 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:24:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9956, loss_cls: 0.1618, loss: 0.1618 +2025-07-02 08:04:18,350 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:24:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1494, loss: 0.1494 +2025-07-02 08:04:34,174 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:23:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1713, loss: 0.1713 +2025-07-02 08:04:49,809 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:23:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1490, loss: 0.1490 +2025-07-02 08:05:05,415 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:23:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1200, loss: 0.1200 +2025-07-02 08:05:20,928 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1913, loss: 0.1913 +2025-07-02 08:05:33,570 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 08:05:56,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:05:57,002 - pyskl - INFO - +top1_acc 0.9164 +top5_acc 0.9959 +2025-07-02 08:05:57,003 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9164, top5_acc: 0.9959 +2025-07-02 08:06:34,258 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:22:40, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1353, loss: 0.1353 +2025-07-02 08:06:49,760 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:22:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1468, loss: 0.1468 +2025-07-02 08:07:05,236 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1197, loss: 0.1197 +2025-07-02 08:07:20,639 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:21:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1526, loss: 0.1526 +2025-07-02 08:07:36,117 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:21:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 08:07:51,644 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:21:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1590, loss: 0.1590 +2025-07-02 08:08:07,182 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1315, loss: 0.1315 +2025-07-02 08:08:22,741 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:20:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1682, loss: 0.1682 +2025-07-02 08:08:38,116 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:20:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 08:08:53,619 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:20:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1686, loss: 0.1686 +2025-07-02 08:09:09,087 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:19:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1463, loss: 0.1463 +2025-07-02 08:09:22,103 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 08:09:45,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:09:45,478 - pyskl - INFO - +top1_acc 0.9305 +top5_acc 0.9959 +2025-07-02 08:09:45,478 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9305, top5_acc: 0.9959 +2025-07-02 08:10:22,728 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:19:30, time: 0.372, data_time: 0.215, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1525, loss: 0.1525 +2025-07-02 08:10:38,154 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:19:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1354, loss: 0.1354 +2025-07-02 08:10:53,581 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:18:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1441, loss: 0.1441 +2025-07-02 08:11:09,074 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:18:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1742, loss: 0.1742 +2025-07-02 08:11:24,525 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:18:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1351, loss: 0.1351 +2025-07-02 08:11:40,013 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1915, loss: 0.1915 +2025-07-02 08:11:55,563 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:17:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1443, loss: 0.1443 +2025-07-02 08:12:10,968 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:17:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1905, loss: 0.1905 +2025-07-02 08:12:26,271 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:17:18, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1405, loss: 0.1405 +2025-07-02 08:12:41,784 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1476, loss: 0.1476 +2025-07-02 08:12:57,443 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:16:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1396, loss: 0.1396 +2025-07-02 08:13:10,171 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 08:13:33,380 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:13:33,390 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9963 +2025-07-02 08:13:33,390 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9405, top5_acc: 0.9963 +2025-07-02 08:14:10,350 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:16:20, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 08:14:25,745 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1355, loss: 0.1355 +2025-07-02 08:14:41,130 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:15:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 08:14:56,519 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:15:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1552, loss: 0.1552 +2025-07-02 08:15:11,939 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:15:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 08:15:27,414 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:14:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1417, loss: 0.1417 +2025-07-02 08:15:42,923 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:14:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1311, loss: 0.1311 +2025-07-02 08:15:58,345 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:14:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1700, loss: 0.1700 +2025-07-02 08:16:13,809 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1119, loss: 0.1119 +2025-07-02 08:16:29,496 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:13:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1141, loss: 0.1141 +2025-07-02 08:16:44,912 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:13:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1711, loss: 0.1711 +2025-07-02 08:16:57,533 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 08:17:21,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:17:21,081 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9963 +2025-07-02 08:17:21,082 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9382, top5_acc: 0.9963 +2025-07-02 08:17:58,287 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:10, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 08:18:13,767 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:12:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1041, loss: 0.1041 +2025-07-02 08:18:29,248 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:12:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1632, loss: 0.1632 +2025-07-02 08:18:44,684 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:12:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 08:19:00,315 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1601, loss: 0.1601 +2025-07-02 08:19:16,016 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:11:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1474, loss: 0.1474 +2025-07-02 08:19:31,693 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:11:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1140, loss: 0.1140 +2025-07-02 08:19:47,354 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:11:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1409, loss: 0.1409 +2025-07-02 08:20:02,886 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:10:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1332, loss: 0.1332 +2025-07-02 08:20:18,380 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:10:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 08:20:33,835 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:10:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1229, loss: 0.1229 +2025-07-02 08:20:46,479 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 08:21:09,419 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:21:09,429 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9941 +2025-07-02 08:21:09,429 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9397, top5_acc: 0.9941 +2025-07-02 08:21:46,511 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:00, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0920, loss: 0.0920 +2025-07-02 08:22:01,879 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:09:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1216, loss: 0.1216 +2025-07-02 08:22:17,286 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:09:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 08:22:32,637 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1344, loss: 0.1344 +2025-07-02 08:22:48,026 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:08:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1061, loss: 0.1061 +2025-07-02 08:23:03,486 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:08:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1698, loss: 0.1698 +2025-07-02 08:23:18,954 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:08:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1399, loss: 0.1399 +2025-07-02 08:23:34,525 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1411, loss: 0.1411 +2025-07-02 08:23:50,160 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:07:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 08:24:05,715 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:07:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1151, loss: 0.1151 +2025-07-02 08:24:21,305 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:07:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1134, loss: 0.1134 +2025-07-02 08:24:34,099 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 08:24:57,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:24:57,081 - pyskl - INFO - +top1_acc 0.9401 +top5_acc 0.9956 +2025-07-02 08:24:57,082 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9401, top5_acc: 0.9956 +2025-07-02 08:25:34,381 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:06:50, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0962, loss: 0.0962 +2025-07-02 08:25:49,799 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:06:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 08:26:05,325 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:06:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 08:26:20,750 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1335, loss: 0.1335 +2025-07-02 08:26:36,194 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:05:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.1105, loss: 0.1105 +2025-07-02 08:26:51,633 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:05:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 08:27:07,146 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1252, loss: 0.1252 +2025-07-02 08:27:22,579 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:04:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1464, loss: 0.1464 +2025-07-02 08:27:38,092 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:04:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1211, loss: 0.1211 +2025-07-02 08:27:53,716 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:04:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0831, loss: 0.0831 +2025-07-02 08:28:09,332 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1053, loss: 0.1053 +2025-07-02 08:28:22,302 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 08:28:45,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:28:45,420 - pyskl - INFO - +top1_acc 0.9260 +top5_acc 0.9915 +2025-07-02 08:28:45,420 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9260, top5_acc: 0.9915 +2025-07-02 08:29:22,655 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:03:40, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1302, loss: 0.1302 +2025-07-02 08:29:38,119 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:03:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1156, loss: 0.1156 +2025-07-02 08:29:53,537 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1277, loss: 0.1277 +2025-07-02 08:30:09,096 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:02:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1375, loss: 0.1375 +2025-07-02 08:30:24,914 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:02:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 08:30:40,389 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:02:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1143, loss: 0.1143 +2025-07-02 08:30:55,995 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1413, loss: 0.1413 +2025-07-02 08:31:11,462 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:01:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1014, loss: 0.1014 +2025-07-02 08:31:26,898 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:01:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1041, loss: 0.1041 +2025-07-02 08:31:42,505 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1279, loss: 0.1279 +2025-07-02 08:31:58,561 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:00:56, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1244, loss: 0.1244 +2025-07-02 08:32:11,348 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 08:32:34,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:32:34,273 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9908 +2025-07-02 08:32:34,274 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9308, top5_acc: 0.9908 +2025-07-02 08:33:11,935 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:00:30, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1145, loss: 0.1145 +2025-07-02 08:33:27,428 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9962, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 08:33:42,908 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 1:59:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1043, loss: 0.1043 +2025-07-02 08:33:58,430 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 1:59:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1240, loss: 0.1240 +2025-07-02 08:34:13,937 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 1:59:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 08:34:29,495 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 08:34:44,992 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:58:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1073, loss: 0.1073 +2025-07-02 08:35:00,386 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:58:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 08:35:15,918 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:58:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1408, loss: 0.1408 +2025-07-02 08:35:31,366 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1395, loss: 0.1395 +2025-07-02 08:35:46,865 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:57:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1114, loss: 0.1114 +2025-07-02 08:35:59,615 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 08:36:22,897 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:36:22,908 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9952 +2025-07-02 08:36:22,908 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9393, top5_acc: 0.9952 +2025-07-02 08:37:00,423 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:57:20, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 08:37:15,907 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0800, loss: 0.0800 +2025-07-02 08:37:31,355 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:56:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0838, loss: 0.0838 +2025-07-02 08:37:46,779 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:56:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1214, loss: 0.1214 +2025-07-02 08:38:02,220 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1272, loss: 0.1272 +2025-07-02 08:38:17,706 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:55:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1449, loss: 0.1449 +2025-07-02 08:38:33,195 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:55:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0967, loss: 0.0967 +2025-07-02 08:38:48,720 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:55:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1062, loss: 0.1062 +2025-07-02 08:39:04,247 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 08:39:19,831 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:54:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 08:39:35,414 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:54:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1371, loss: 0.1371 +2025-07-02 08:39:48,187 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 08:40:11,009 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:40:11,020 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9915 +2025-07-02 08:40:11,020 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9397, top5_acc: 0.9915 +2025-07-02 08:40:47,961 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:09, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0973, loss: 0.0973 +2025-07-02 08:41:03,461 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:53:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1290, loss: 0.1290 +2025-07-02 08:41:18,882 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:53:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0922, loss: 0.0922 +2025-07-02 08:41:34,421 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:53:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 08:41:49,991 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 08:42:05,421 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:52:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 08:42:21,016 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:52:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1245, loss: 0.1245 +2025-07-02 08:42:36,486 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1143, loss: 0.1143 +2025-07-02 08:42:51,994 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:51:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1257, loss: 0.1257 +2025-07-02 08:43:07,527 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:51:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 08:43:23,029 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:51:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0995, loss: 0.0995 +2025-07-02 08:43:35,709 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 08:43:58,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:43:58,801 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9926 +2025-07-02 08:43:58,801 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9375, top5_acc: 0.9926 +2025-07-02 08:44:36,341 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:50:59, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1124, loss: 0.1124 +2025-07-02 08:44:51,861 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:50:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0935, loss: 0.0935 +2025-07-02 08:45:07,416 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:50:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 08:45:22,959 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0876, loss: 0.0876 +2025-07-02 08:45:38,481 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:49:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1180, loss: 0.1180 +2025-07-02 08:45:53,962 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:49:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 08:46:09,338 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0936, loss: 0.0936 +2025-07-02 08:46:24,882 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 08:46:40,586 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:48:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0866, loss: 0.0866 +2025-07-02 08:46:56,220 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:48:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 08:47:11,761 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 08:47:24,523 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 08:47:47,937 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:47:47,947 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9930 +2025-07-02 08:47:47,948 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9393, top5_acc: 0.9930 +2025-07-02 08:48:25,153 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:47:49, time: 0.372, data_time: 0.215, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 08:48:40,553 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:47:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0982, loss: 0.0982 +2025-07-02 08:48:55,970 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0779, loss: 0.0779 +2025-07-02 08:49:11,362 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0878, loss: 0.0878 +2025-07-02 08:49:26,822 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:46:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 08:49:42,257 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:46:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 08:49:57,732 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 08:50:13,188 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:45:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 08:50:28,804 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:45:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 08:50:44,328 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 08:50:59,967 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0921, loss: 0.0921 +2025-07-02 08:51:12,770 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 08:51:35,880 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:51:35,891 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9959 +2025-07-02 08:51:35,895 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_99.pth was removed +2025-07-02 08:51:36,013 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2025-07-02 08:51:36,014 - pyskl - INFO - Best top1_acc is 0.9486 at 117 epoch. +2025-07-02 08:51:36,015 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9486, top5_acc: 0.9959 +2025-07-02 08:52:13,121 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:44:39, time: 0.371, data_time: 0.214, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0733, loss: 0.0733 +2025-07-02 08:52:28,474 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0825, loss: 0.0825 +2025-07-02 08:52:43,838 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 08:52:59,185 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:43:49, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0893, loss: 0.0893 +2025-07-02 08:53:14,543 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:43:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 08:53:29,895 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0827, loss: 0.0827 +2025-07-02 08:53:45,263 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0935, loss: 0.0935 +2025-07-02 08:54:00,736 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:42:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 08:54:16,244 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:42:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 08:54:31,682 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1065, loss: 0.1065 +2025-07-02 08:54:47,529 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:41:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0898, loss: 0.0898 +2025-07-02 08:55:00,388 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 08:55:23,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:55:23,774 - pyskl - INFO - +top1_acc 0.9471 +top5_acc 0.9956 +2025-07-02 08:55:23,775 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9471, top5_acc: 0.9956 +2025-07-02 08:56:00,913 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:41:28, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0725, loss: 0.0725 +2025-07-02 08:56:16,369 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 08:56:31,826 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:40:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0677, loss: 0.0677 +2025-07-02 08:56:47,325 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:40:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0960, loss: 0.0960 +2025-07-02 08:57:02,910 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.0950, loss: 0.0950 +2025-07-02 08:57:18,493 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0878, loss: 0.0878 +2025-07-02 08:57:34,033 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:39:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 08:57:49,470 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:39:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9969, loss_cls: 0.0867, loss: 0.0867 +2025-07-02 08:58:04,932 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0786, loss: 0.0786 +2025-07-02 08:58:20,520 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0607, loss: 0.0607 +2025-07-02 08:58:36,257 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:38:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 08:58:49,058 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 08:59:12,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:59:12,577 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9930 +2025-07-02 08:59:12,578 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9453, top5_acc: 0.9930 +2025-07-02 08:59:49,981 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:18, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 09:00:05,464 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0809, loss: 0.0809 +2025-07-02 09:00:21,112 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:37:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0902, loss: 0.0902 +2025-07-02 09:00:36,664 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:37:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 09:00:52,230 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 09:01:07,675 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:36:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 09:01:23,044 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:36:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 09:01:38,537 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 09:01:54,103 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 09:02:09,688 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:35:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 09:02:25,154 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:35:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 09:02:37,910 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 09:03:00,977 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:03:00,987 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9963 +2025-07-02 09:03:00,987 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9464, top5_acc: 0.9963 +2025-07-02 09:03:38,195 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:07, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 09:03:53,606 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:34:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 09:04:09,017 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:34:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 09:04:24,553 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 09:04:39,947 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0875, loss: 0.0875 +2025-07-02 09:04:55,367 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:33:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0728, loss: 0.0728 +2025-07-02 09:05:10,888 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:33:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 09:05:26,437 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0785, loss: 0.0785 +2025-07-02 09:05:42,227 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:32:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 09:05:57,760 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:32:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 09:06:13,160 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 09:06:25,780 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 09:06:48,967 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:06:48,978 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9952 +2025-07-02 09:06:48,978 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9460, top5_acc: 0.9952 +2025-07-02 09:07:26,194 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:31:57, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 09:07:41,671 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:31:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 09:07:57,080 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 09:08:12,395 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:08, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 09:08:27,695 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:30:51, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 09:08:43,092 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:30:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 09:08:58,474 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0793, loss: 0.0793 +2025-07-02 09:09:13,884 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 09:09:29,436 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:29:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 09:09:44,867 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:29:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 09:10:00,207 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:13, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 09:10:12,806 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 09:10:36,226 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:10:36,236 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9948 +2025-07-02 09:10:36,237 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9467, top5_acc: 0.9948 +2025-07-02 09:11:13,682 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:28:46, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 09:11:29,240 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:28:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 09:11:44,650 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0663, loss: 0.0663 +2025-07-02 09:12:00,083 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:27:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 09:12:15,438 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:27:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 09:12:30,785 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:24, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 09:12:46,217 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 09:13:01,657 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:26:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0715, loss: 0.0715 +2025-07-02 09:13:17,213 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:26:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0681, loss: 0.0681 +2025-07-02 09:13:32,644 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0742, loss: 0.0742 +2025-07-02 09:13:48,075 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 09:14:00,713 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 09:14:23,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:14:23,682 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9926 +2025-07-02 09:14:23,683 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9405, top5_acc: 0.9926 +2025-07-02 09:15:00,894 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:25:36, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 09:15:16,327 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 09:15:31,798 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 09:15:47,270 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:24:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 09:16:02,847 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:24:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 09:16:18,363 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0642, loss: 0.0642 +2025-07-02 09:16:33,878 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:23:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 09:16:49,390 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:23:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 09:17:04,922 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0492, loss: 0.0492 +2025-07-02 09:17:20,482 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 09:17:36,173 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:22:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 09:17:49,025 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 09:18:11,864 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:18:11,875 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9933 +2025-07-02 09:18:11,879 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_117.pth was removed +2025-07-02 09:18:11,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2025-07-02 09:18:11,993 - pyskl - INFO - Best top1_acc is 0.9501 at 124 epoch. +2025-07-02 09:18:11,994 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9501, top5_acc: 0.9933 +2025-07-02 09:18:48,977 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:25, time: 0.370, data_time: 0.213, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 09:19:04,360 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 09:19:19,770 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:21:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 09:19:35,255 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:21:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 09:19:50,636 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 09:20:06,044 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 09:20:21,471 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:20:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 09:20:36,871 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 09:20:52,475 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 09:21:08,012 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:19:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 09:21:23,618 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:19:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 09:21:36,617 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 09:21:59,584 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:21:59,594 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9941 +2025-07-02 09:21:59,594 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9419, top5_acc: 0.9941 +2025-07-02 09:22:36,508 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:14, time: 0.369, data_time: 0.212, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 09:22:51,839 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:18:58, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 09:23:07,209 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:18:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 09:23:22,545 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:25, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 09:23:37,931 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 09:23:53,330 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:17:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 09:24:08,707 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:17:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 09:24:24,189 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0743, loss: 0.0743 +2025-07-02 09:24:39,641 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 09:24:55,059 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:16:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 09:25:10,547 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0571, loss: 0.0571 +2025-07-02 09:25:23,209 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 09:25:46,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:25:46,387 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9926 +2025-07-02 09:25:46,387 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9501, top5_acc: 0.9926 +2025-07-02 09:26:23,749 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:04, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 09:26:39,185 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:15:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0571, loss: 0.0571 +2025-07-02 09:26:54,679 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 09:27:10,179 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0618, loss: 0.0618 +2025-07-02 09:27:25,710 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:14:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 09:27:41,233 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:14:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0713, loss: 0.0713 +2025-07-02 09:27:56,738 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 09:28:12,276 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 09:28:27,758 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:13:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 09:28:43,254 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:13:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 09:28:58,797 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 09:29:11,494 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 09:29:34,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:29:34,839 - pyskl - INFO - +top1_acc 0.9475 +top5_acc 0.9937 +2025-07-02 09:29:34,839 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9475, top5_acc: 0.9937 +2025-07-02 09:30:12,178 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:12:53, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0614, loss: 0.0614 +2025-07-02 09:30:27,830 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:12:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 09:30:43,420 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0477, loss: 0.0477 +2025-07-02 09:30:58,913 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 09:31:14,513 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:11:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 09:31:30,014 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 09:31:45,589 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 09:32:01,110 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:10:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0483, loss: 0.0483 +2025-07-02 09:32:16,707 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:10:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 09:32:32,279 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 09:32:47,783 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 09:33:00,481 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 09:33:23,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:33:23,667 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9945 +2025-07-02 09:33:23,667 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9486, top5_acc: 0.9945 +2025-07-02 09:34:01,251 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:09:43, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 09:34:16,842 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0504, loss: 0.0504 +2025-07-02 09:34:32,396 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 09:34:47,942 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:08:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 09:35:03,472 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:08:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 09:35:18,985 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 09:35:34,540 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 09:35:50,058 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:07:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 09:36:05,545 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 09:36:21,112 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 09:36:36,493 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:06:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 09:36:49,221 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 09:37:12,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:37:12,188 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9963 +2025-07-02 09:37:12,191 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_124.pth was removed +2025-07-02 09:37:12,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 09:37:12,411 - pyskl - INFO - Best top1_acc is 0.9523 at 129 epoch. +2025-07-02 09:37:12,412 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9523, top5_acc: 0.9963 +2025-07-02 09:37:49,566 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:32, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 09:38:04,905 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:16, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 09:38:20,279 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:05:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 09:38:35,693 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:05:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 09:38:51,103 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 09:39:06,513 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 09:39:21,950 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:04:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 09:39:37,377 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:04:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 09:39:52,839 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 09:40:08,370 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 09:40:24,027 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:03:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 09:40:36,830 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 09:41:00,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:41:00,138 - pyskl - INFO - +top1_acc 0.9504 +top5_acc 0.9952 +2025-07-02 09:41:00,138 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9504, top5_acc: 0.9952 +2025-07-02 09:41:37,734 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:21, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 09:41:53,188 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 09:42:08,711 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:02:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 09:42:24,152 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 09:42:39,555 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 09:42:55,084 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 09:43:10,610 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:01:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 09:43:26,146 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 09:43:41,692 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 09:43:57,177 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:00:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 09:44:12,615 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:00:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 09:44:25,367 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 09:44:48,730 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:44:48,740 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9933 +2025-07-02 09:44:48,744 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_129.pth was removed +2025-07-02 09:44:48,858 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 09:44:48,859 - pyskl - INFO - Best top1_acc is 0.9538 at 131 epoch. +2025-07-02 09:44:48,860 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9538, top5_acc: 0.9933 +2025-07-02 09:45:25,812 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:11, time: 0.369, data_time: 0.214, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 09:45:41,231 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 0:59:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0499, loss: 0.0499 +2025-07-02 09:45:56,519 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:38, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 09:46:11,811 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:22, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 09:46:27,129 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:05, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 09:46:42,517 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:58:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 09:46:57,806 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:33, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 09:47:13,130 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:16, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 09:47:28,469 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:00, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 09:47:43,926 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:57:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 09:47:59,414 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 09:48:12,166 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 09:48:35,058 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:48:35,068 - pyskl - INFO - +top1_acc 0.9504 +top5_acc 0.9937 +2025-07-02 09:48:35,068 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9504, top5_acc: 0.9937 +2025-07-02 09:49:12,551 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:00, time: 0.375, data_time: 0.218, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 09:49:27,933 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:56:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 09:49:43,337 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 09:49:58,772 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0520, loss: 0.0520 +2025-07-02 09:50:14,175 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:55:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 09:50:29,577 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 09:50:44,964 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 09:51:00,372 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 09:51:15,888 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:54:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 09:51:31,395 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 09:51:47,128 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 09:52:00,060 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 09:52:23,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:52:23,058 - pyskl - INFO - +top1_acc 0.9490 +top5_acc 0.9948 +2025-07-02 09:52:23,059 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9490, top5_acc: 0.9948 +2025-07-02 09:53:00,959 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:53:49, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 09:53:16,456 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 09:53:31,944 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 09:53:47,395 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 09:54:02,889 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:52:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 09:54:18,389 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 09:54:33,796 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 09:54:49,236 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:51:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 09:55:04,721 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 09:55:20,189 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 09:55:35,817 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 09:55:48,675 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 09:56:12,019 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:56:12,030 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9945 +2025-07-02 09:56:12,030 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9530, top5_acc: 0.9945 +2025-07-02 09:56:49,375 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:38, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 09:57:04,773 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 09:57:20,191 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 09:57:35,612 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:49:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 09:57:51,024 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 09:58:06,423 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 09:58:21,805 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 09:58:37,210 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:48:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 09:58:52,663 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 09:59:08,377 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0171, loss: 0.0171 +2025-07-02 09:59:23,865 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:47:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 09:59:36,625 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 09:59:59,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:59:59,815 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9952 +2025-07-02 09:59:59,819 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_131.pth was removed +2025-07-02 09:59:59,934 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 09:59:59,935 - pyskl - INFO - Best top1_acc is 0.9545 at 135 epoch. +2025-07-02 09:59:59,936 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9545, top5_acc: 0.9952 +2025-07-02 10:00:37,519 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:27, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 10:00:52,949 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 10:01:08,394 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:46:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 10:01:23,790 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 10:01:39,228 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 10:01:54,693 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:02:10,085 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:45:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:02:25,483 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 10:02:41,071 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:02:56,520 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:03:11,872 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:44:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 10:03:24,660 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 10:03:47,888 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:03:47,898 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9956 +2025-07-02 10:03:47,902 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_135.pth was removed +2025-07-02 10:03:48,022 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2025-07-02 10:03:48,023 - pyskl - INFO - Best top1_acc is 0.9564 at 136 epoch. +2025-07-02 10:03:48,024 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9564, top5_acc: 0.9956 +2025-07-02 10:04:25,490 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:16, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:04:41,080 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 10:04:56,775 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:43:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:05:12,175 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 10:05:27,618 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 10:05:43,246 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:42:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 10:05:58,631 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:06:14,050 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 10:06:29,508 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 10:06:44,962 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:41:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 10:07:00,586 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:07:13,222 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 10:07:36,298 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:07:36,308 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9948 +2025-07-02 10:07:36,308 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9553, top5_acc: 0.9948 +2025-07-02 10:08:13,952 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:06, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 10:08:29,367 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:40:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:08:44,804 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 10:09:00,314 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:09:15,784 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:09:31,194 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:09:46,597 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 10:10:01,929 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:12, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 10:10:17,306 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:38:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 10:10:32,794 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:10:48,351 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 10:11:01,005 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 10:11:24,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:11:24,420 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9948 +2025-07-02 10:11:24,421 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9549, top5_acc: 0.9948 +2025-07-02 10:12:02,404 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:37:55, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:12:17,898 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0162, loss: 0.0162 +2025-07-02 10:12:33,439 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 10:12:49,003 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:13:04,515 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:36:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0192, loss: 0.0192 +2025-07-02 10:13:20,009 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 10:13:35,525 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:13:50,964 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:14:06,335 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 10:14:21,740 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 10:14:37,263 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 10:14:49,945 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 10:15:13,365 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:15:13,376 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9937 +2025-07-02 10:15:13,377 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9516, top5_acc: 0.9937 +2025-07-02 10:15:50,749 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:44, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 10:16:06,253 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 10:16:21,736 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 10:16:37,172 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:33:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 10:16:52,677 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 10:17:08,051 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0175, loss: 0.0175 +2025-07-02 10:17:23,437 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 10:17:38,821 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:32:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 10:17:54,270 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 10:18:09,686 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 10:18:25,175 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 10:18:37,786 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 10:19:00,709 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:19:00,719 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9956 +2025-07-02 10:19:00,720 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9501, top5_acc: 0.9956 +2025-07-02 10:19:38,008 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:33, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 10:19:53,413 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 10:20:08,819 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 10:20:24,234 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:20:39,874 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 10:20:55,482 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 10:21:11,068 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:29:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:21:26,619 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:21:42,221 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:21:57,694 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0201, loss: 0.0201 +2025-07-02 10:22:13,246 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:28:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0181, loss: 0.0181 +2025-07-02 10:22:25,866 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 10:22:48,969 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:22:48,980 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9959 +2025-07-02 10:22:48,980 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9530, top5_acc: 0.9959 +2025-07-02 10:23:26,262 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:22, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 10:23:41,868 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 10:23:57,397 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:27:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0172, loss: 0.0172 +2025-07-02 10:24:12,737 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:33, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 10:24:28,104 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0166, loss: 0.0166 +2025-07-02 10:24:43,459 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:24:58,812 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0187, loss: 0.0187 +2025-07-02 10:25:14,202 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 10:25:29,594 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 10:25:44,959 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:25:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 10:26:00,363 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 10:26:13,147 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 10:26:36,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:26:36,272 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9956 +2025-07-02 10:26:36,273 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9523, top5_acc: 0.9956 +2025-07-02 10:27:13,924 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:11, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:27:29,314 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:24:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 10:27:44,685 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0135, loss: 0.0135 +2025-07-02 10:27:59,999 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:22, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 10:28:15,340 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:06, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9988, loss_cls: 0.0169, loss: 0.0169 +2025-07-02 10:28:30,725 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 10:28:46,211 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:29:01,597 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 10:29:17,037 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 10:29:32,477 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0217, loss: 0.0217 +2025-07-02 10:29:47,947 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 10:30:00,831 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 10:30:24,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:30:24,079 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9945 +2025-07-02 10:30:24,080 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9501, top5_acc: 0.9945 +2025-07-02 10:31:01,355 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:00, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 10:31:16,857 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 10:31:32,309 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 10:31:47,809 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0477, loss: 0.0477 +2025-07-02 10:32:03,193 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:20:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0162, loss: 0.0162 +2025-07-02 10:32:18,575 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:32:33,953 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:32:49,290 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:07, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:33:04,650 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 10:33:20,031 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 10:33:35,471 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 10:33:48,387 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 10:34:11,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:34:11,436 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9956 +2025-07-02 10:34:11,436 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9527, top5_acc: 0.9956 +2025-07-02 10:34:48,715 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:49, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 10:35:04,233 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:35:19,681 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 10:35:35,071 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:35:50,488 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:36:05,894 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 10:36:21,283 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 10:36:36,619 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:16:56, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 10:36:52,236 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 10:37:07,771 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0151, loss: 0.0151 +2025-07-02 10:37:23,291 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 10:37:36,074 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 10:37:59,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:37:59,060 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9952 +2025-07-02 10:37:59,060 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9553, top5_acc: 0.9952 +2025-07-02 10:38:36,325 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:38, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:38:51,763 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 10:39:07,277 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 10:39:22,680 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:39:38,122 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 10:39:53,582 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:40:09,027 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 10:40:24,427 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 10:40:39,899 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 10:40:55,345 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0193, loss: 0.0193 +2025-07-02 10:41:10,673 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:12:56, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 10:41:23,281 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 10:41:46,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:41:46,151 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9952 +2025-07-02 10:41:46,152 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9553, top5_acc: 0.9952 +2025-07-02 10:42:23,573 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:27, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:42:39,040 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 10:42:54,477 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 10:43:09,862 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 10:43:25,274 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 10:43:40,670 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 10:43:56,063 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 10:44:11,461 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 10:44:26,840 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0157, loss: 0.0157 +2025-07-02 10:44:42,304 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 10:44:57,763 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 10:45:10,561 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 10:45:33,721 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:45:33,732 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9952 +2025-07-02 10:45:33,732 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9541, top5_acc: 0.9952 +2025-07-02 10:46:10,910 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:16, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 10:46:26,412 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 10:46:41,770 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0144, loss: 0.0144 +2025-07-02 10:46:57,167 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:47:12,607 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:47:27,991 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 10:47:43,414 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 10:47:58,798 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 10:48:14,230 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 10:48:29,648 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 10:48:45,038 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0146, loss: 0.0146 +2025-07-02 10:48:57,673 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 10:49:20,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:49:20,788 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9945 +2025-07-02 10:49:20,789 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9534, top5_acc: 0.9945 +2025-07-02 10:49:58,211 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:05, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 10:50:13,696 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:50:29,111 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 10:50:44,530 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 10:50:59,960 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:51:15,413 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0182, loss: 0.0182 +2025-07-02 10:51:30,948 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 10:51:46,460 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 10:52:01,921 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 10:52:17,421 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 10:52:32,982 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 10:52:45,717 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 10:53:08,549 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:53:08,560 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9948 +2025-07-02 10:53:08,560 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9527, top5_acc: 0.9948 +2025-07-02 10:53:46,003 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:54, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:54:01,419 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 10:54:16,880 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0165, loss: 0.0165 +2025-07-02 10:54:32,289 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 10:54:47,615 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:49, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 10:55:03,053 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 10:55:18,379 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:55:33,703 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:55:49,091 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 10:56:04,462 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:56:19,910 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 10:56:32,563 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 10:56:55,174 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:56:55,184 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9952 +2025-07-02 10:56:55,184 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9541, top5_acc: 0.9952 +2025-07-02 10:57:01,988 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 10:58:29,194 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 10:58:29,194 - pyskl - INFO - top1_acc: 0.9553 +2025-07-02 10:58:29,194 - pyskl - INFO - top5_acc: 0.9945 +2025-07-02 10:58:29,195 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/j_2/best_top1_acc_epoch_136.pth +2025-07-02 10:59:54,455 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 10:59:54,456 - pyskl - INFO - top1_acc: 0.9556 +2025-07-02 10:59:54,456 - pyskl - INFO - top5_acc: 0.9963 diff --git a/pku_mmd_xsub/j_2/20250702_013047.log.json b/pku_mmd_xsub/j_2/20250702_013047.log.json new file mode 100644 index 0000000000000000000000000000000000000000..78b35f6c8941cdb61746baacaa877e58f4a12126 --- /dev/null +++ b/pku_mmd_xsub/j_2/20250702_013047.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.1\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.10.1\nOpenCV: 4.6.0\nMMCV: 1.6.0\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.2\npyskl: 0.1.0+", "seed": 716575259, "config_name": "j_2.py", "work_dir": "j_2", "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.025, "memory": 3565, "data_time": 0.21448, "top1_acc": 0.07125, "top5_acc": 0.26375, "loss_cls": 4.24717, "loss": 4.24717, "time": 0.36905} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 0.025, "memory": 3565, "data_time": 0.00019, "top1_acc": 0.12562, "top5_acc": 0.44188, "loss_cls": 3.79411, "loss": 3.79411, "time": 0.14867} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 0.025, "memory": 3565, "data_time": 0.00018, "top1_acc": 0.20375, "top5_acc": 0.57812, "loss_cls": 3.3524, "loss": 3.3524, "time": 0.1484} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 0.025, "memory": 3565, "data_time": 0.00018, "top1_acc": 0.21375, "top5_acc": 0.66312, "loss_cls": 3.11819, "loss": 3.11819, "time": 0.14862} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 0.025, "memory": 3565, "data_time": 0.00018, "top1_acc": 0.30188, "top5_acc": 0.75375, "loss_cls": 2.79109, "loss": 2.79109, "time": 0.14924} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 0.025, "memory": 3565, "data_time": 0.00021, "top1_acc": 0.32125, "top5_acc": 0.7625, "loss_cls": 2.7235, "loss": 2.7235, "time": 0.14739} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 0.025, "memory": 3565, "data_time": 0.00021, "top1_acc": 0.40188, "top5_acc": 0.83438, "loss_cls": 2.41675, "loss": 2.41675, "time": 0.1491} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 0.025, "memory": 3565, "data_time": 0.00024, "top1_acc": 0.4325, "top5_acc": 0.85875, "loss_cls": 2.29602, "loss": 2.29602, "time": 0.14978} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 0.025, "memory": 3565, "data_time": 0.00019, "top1_acc": 0.47375, "top5_acc": 0.8775, "loss_cls": 2.17597, "loss": 2.17597, "time": 0.14908} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 0.025, "memory": 3565, "data_time": 0.00019, "top1_acc": 0.49188, "top5_acc": 0.89438, "loss_cls": 2.07037, "loss": 2.07037, "time": 0.14918} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 0.025, "memory": 3565, "data_time": 0.00018, "top1_acc": 0.53125, "top5_acc": 0.90438, "loss_cls": 1.93384, "loss": 1.93384, "time": 0.14978} +{"mode": "val", "epoch": 1, "iter": 169, "lr": 0.025, "top1_acc": 0.52256, "top5_acc": 0.95266} +{"mode": "train", "epoch": 2, "iter": 100, "lr": 0.025, "memory": 3565, "data_time": 0.21855, "top1_acc": 0.5625, "top5_acc": 0.91875, "loss_cls": 1.8343, "loss": 1.8343, "time": 0.36845} +{"mode": "train", "epoch": 2, "iter": 200, "lr": 0.025, "memory": 3565, "data_time": 0.0002, "top1_acc": 0.58625, "top5_acc": 0.93062, "loss_cls": 1.74594, "loss": 1.74594, "time": 0.14915} +{"mode": "train", "epoch": 2, "iter": 300, "lr": 0.025, "memory": 3565, "data_time": 0.0002, "top1_acc": 0.605, "top5_acc": 0.93375, "loss_cls": 1.68606, "loss": 1.68606, "time": 0.14846} +{"mode": "train", "epoch": 2, "iter": 400, "lr": 0.025, "memory": 3565, "data_time": 0.0002, "top1_acc": 0.61562, "top5_acc": 0.93188, "loss_cls": 1.6256, "loss": 1.6256, "time": 0.15102} +{"mode": "train", "epoch": 2, "iter": 500, "lr": 0.02499, "memory": 3565, "data_time": 0.0002, "top1_acc": 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"epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.9975, "top5_acc": 0.99938, "loss_cls": 0.02462, "loss": 0.02462, "time": 0.1537} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.995, "top5_acc": 0.99938, "loss_cls": 0.02936, "loss": 0.02936, "time": 0.15447} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.95414, "top5_acc": 0.99519} diff --git a/pku_mmd_xsub/j_2/best_pred.pkl b/pku_mmd_xsub/j_2/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..aec4fda0330f0a86e7479e9acc0d34441136c4b2 --- /dev/null +++ b/pku_mmd_xsub/j_2/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f55342774df364b53249a74f4fd3fd0879c31721440f4dc6b57f7eb583a809f9 +size 954009 diff --git a/pku_mmd_xsub/j_2/best_top1_acc_epoch_136.pth b/pku_mmd_xsub/j_2/best_top1_acc_epoch_136.pth new file mode 100644 index 0000000000000000000000000000000000000000..01410d2d3b55eae21add9b0d240094ba41c3513f --- /dev/null +++ b/pku_mmd_xsub/j_2/best_top1_acc_epoch_136.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42fc7bcf352b4675e5fb0d0dc5d3185f8209aef3c52c1e8c22ed087cc6e3deba +size 32917041 diff --git a/pku_mmd_xsub/j_2/j_2.py b/pku_mmd_xsub/j_2/j_2.py new file mode 100644 index 0000000000000000000000000000000000000000..9b0dcb4eddba00ed4a19f5e0e164dcf8a6117c2b --- /dev/null +++ b/pku_mmd_xsub/j_2/j_2.py @@ -0,0 +1,98 @@ +modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/j_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/j_3/20250702_013116.log b/pku_mmd_xsub/j_3/20250702_013116.log new file mode 100644 index 0000000000000000000000000000000000000000..7c954591a27c6cedf6552f1b87d36b3b332053c8 --- /dev/null +++ b/pku_mmd_xsub/j_3/20250702_013116.log @@ -0,0 +1,2805 @@ +2025-07-02 01:31:16,688 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 01:31:16,986 - pyskl - INFO - Config: modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/j_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 01:31:16,986 - pyskl - INFO - Set random seed to 819633733, deterministic: False +2025-07-02 01:31:20,622 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 01:31:26,858 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 01:31:26,863 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3 +2025-07-02 01:31:26,863 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 01:31:26,863 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 01:31:26,863 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3 by HardDiskBackend. +2025-07-02 01:32:03,153 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:48:01, time: 0.363, data_time: 0.208, memory: 3565, top1_acc: 0.0606, top5_acc: 0.2213, loss_cls: 4.3165, loss: 4.3165 +2025-07-02 01:32:18,028 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:32:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1469, top5_acc: 0.4456, loss_cls: 3.7911, loss: 3.7911 +2025-07-02 01:32:32,961 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:47:43, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.2431, top5_acc: 0.6288, loss_cls: 3.2285, loss: 3.2285 +2025-07-02 01:32:47,923 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:55:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.2681, top5_acc: 0.6919, loss_cls: 2.9564, loss: 2.9564 +2025-07-02 01:33:02,907 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:24:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.3444, top5_acc: 0.7987, loss_cls: 2.5926, loss: 2.5926 +2025-07-02 01:33:18,005 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:03:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3819, top5_acc: 0.8400, loss_cls: 2.4494, loss: 2.4494 +2025-07-02 01:33:33,061 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:48:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4400, top5_acc: 0.8631, loss_cls: 2.2637, loss: 2.2637 +2025-07-02 01:33:48,185 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:37:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4700, top5_acc: 0.8881, loss_cls: 2.1482, loss: 2.1482 +2025-07-02 01:34:03,321 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:29:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5044, top5_acc: 0.8781, loss_cls: 2.0874, loss: 2.0874 +2025-07-02 01:34:18,378 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:22:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5294, top5_acc: 0.8988, loss_cls: 1.9873, loss: 1.9873 +2025-07-02 01:34:33,540 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:16:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5506, top5_acc: 0.9213, loss_cls: 1.8447, loss: 1.8447 +2025-07-02 01:34:45,816 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 01:35:08,804 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:35:08,814 - pyskl - INFO - +top1_acc 0.5743 +top5_acc 0.9589 +2025-07-02 01:35:08,944 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 01:35:08,945 - pyskl - INFO - Best top1_acc is 0.5743 at 1 epoch. +2025-07-02 01:35:08,946 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5743, top5_acc: 0.9589 +2025-07-02 01:35:44,594 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:28:35, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.5900, top5_acc: 0.9287, loss_cls: 1.7575, loss: 1.7575 +2025-07-02 01:35:59,699 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:23:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5813, top5_acc: 0.9200, loss_cls: 1.8031, loss: 1.8031 +2025-07-02 01:36:14,759 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:18:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6219, top5_acc: 0.9325, loss_cls: 1.6460, loss: 1.6460 +2025-07-02 01:36:29,817 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:14:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6250, top5_acc: 0.9269, loss_cls: 1.6422, loss: 1.6422 +2025-07-02 01:36:44,794 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:11:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6275, top5_acc: 0.9363, loss_cls: 1.6249, loss: 1.6249 +2025-07-02 01:36:59,860 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:07:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6569, top5_acc: 0.9375, loss_cls: 1.5511, loss: 1.5511 +2025-07-02 01:37:15,007 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:05:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6400, top5_acc: 0.9369, loss_cls: 1.5816, loss: 1.5816 +2025-07-02 01:37:30,211 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:02:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6675, top5_acc: 0.9394, loss_cls: 1.4599, loss: 1.4599 +2025-07-02 01:37:45,344 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:00:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6756, top5_acc: 0.9487, loss_cls: 1.4497, loss: 1.4497 +2025-07-02 01:38:00,555 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:58:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6856, top5_acc: 0.9500, loss_cls: 1.3781, loss: 1.3781 +2025-07-02 01:38:15,607 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:56:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6937, top5_acc: 0.9575, loss_cls: 1.3424, loss: 1.3424 +2025-07-02 01:38:27,981 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 01:38:50,902 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:38:50,915 - pyskl - INFO - +top1_acc 0.7500 +top5_acc 0.9700 +2025-07-02 01:38:50,918 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_1.pth was removed +2025-07-02 01:38:51,034 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 01:38:51,035 - pyskl - INFO - Best top1_acc is 0.7500 at 2 epoch. +2025-07-02 01:38:51,036 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.7500, top5_acc: 0.9700 +2025-07-02 01:39:26,739 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:03:38, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.7119, top5_acc: 0.9531, loss_cls: 1.3225, loss: 1.3225 +2025-07-02 01:39:41,698 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:01:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7156, top5_acc: 0.9513, loss_cls: 1.3327, loss: 1.3327 +2025-07-02 01:39:56,681 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 7:59:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6963, top5_acc: 0.9537, loss_cls: 1.3534, loss: 1.3534 +2025-07-02 01:40:11,669 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:57:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7044, top5_acc: 0.9537, loss_cls: 1.3569, loss: 1.3569 +2025-07-02 01:40:26,549 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:55:37, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7356, top5_acc: 0.9600, loss_cls: 1.2576, loss: 1.2576 +2025-07-02 01:40:41,496 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:53:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7412, top5_acc: 0.9613, loss_cls: 1.2510, loss: 1.2510 +2025-07-02 01:40:56,475 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:52:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7406, top5_acc: 0.9606, loss_cls: 1.2049, loss: 1.2049 +2025-07-02 01:41:11,671 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:51:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7456, top5_acc: 0.9513, loss_cls: 1.2674, loss: 1.2674 +2025-07-02 01:41:27,137 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:50:01, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7331, top5_acc: 0.9563, loss_cls: 1.2347, loss: 1.2347 +2025-07-02 01:41:42,379 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:48:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7394, top5_acc: 0.9637, loss_cls: 1.2052, loss: 1.2052 +2025-07-02 01:41:57,515 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:47:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7444, top5_acc: 0.9569, loss_cls: 1.2079, loss: 1.2079 +2025-07-02 01:42:09,862 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 01:42:32,913 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:42:32,924 - pyskl - INFO - +top1_acc 0.7060 +top5_acc 0.9634 +2025-07-02 01:42:32,924 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7060, top5_acc: 0.9634 +2025-07-02 01:43:09,058 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:53:00, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9688, loss_cls: 1.1018, loss: 1.1018 +2025-07-02 01:43:24,194 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:51:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7531, top5_acc: 0.9631, loss_cls: 1.1444, loss: 1.1444 +2025-07-02 01:43:39,332 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:50:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7519, top5_acc: 0.9625, loss_cls: 1.1459, loss: 1.1459 +2025-07-02 01:43:54,419 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:49:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9681, loss_cls: 1.1216, loss: 1.1216 +2025-07-02 01:44:09,559 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:48:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9625, loss_cls: 1.0970, loss: 1.0970 +2025-07-02 01:44:24,691 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:47:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7562, top5_acc: 0.9550, loss_cls: 1.1661, loss: 1.1661 +2025-07-02 01:44:39,911 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:46:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9631, loss_cls: 1.0913, loss: 1.0913 +2025-07-02 01:44:55,136 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:45:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7625, top5_acc: 0.9587, loss_cls: 1.1390, loss: 1.1390 +2025-07-02 01:45:10,402 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:44:26, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7725, top5_acc: 0.9694, loss_cls: 1.0781, loss: 1.0781 +2025-07-02 01:45:25,896 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:43:44, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7706, top5_acc: 0.9706, loss_cls: 1.1145, loss: 1.1145 +2025-07-02 01:45:41,270 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:42:58, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7506, top5_acc: 0.9656, loss_cls: 1.1185, loss: 1.1185 +2025-07-02 01:45:53,799 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 01:46:16,587 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:46:16,597 - pyskl - INFO - +top1_acc 0.7792 +top5_acc 0.9859 +2025-07-02 01:46:16,600 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_2.pth was removed +2025-07-02 01:46:16,714 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 01:46:16,715 - pyskl - INFO - Best top1_acc is 0.7792 at 4 epoch. +2025-07-02 01:46:16,715 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7792, top5_acc: 0.9859 +2025-07-02 01:46:52,499 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:46:41, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.7781, top5_acc: 0.9600, loss_cls: 1.0836, loss: 1.0836 +2025-07-02 01:47:07,532 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:45:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7775, top5_acc: 0.9769, loss_cls: 1.0031, loss: 1.0031 +2025-07-02 01:47:22,553 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:44:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9731, loss_cls: 1.0297, loss: 1.0297 +2025-07-02 01:47:37,642 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:43:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7831, top5_acc: 0.9719, loss_cls: 1.0311, loss: 1.0311 +2025-07-02 01:47:52,706 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:42:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7781, top5_acc: 0.9675, loss_cls: 1.0752, loss: 1.0752 +2025-07-02 01:48:07,789 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:42:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9681, loss_cls: 0.9853, loss: 0.9853 +2025-07-02 01:48:22,876 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:41:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9587, loss_cls: 1.1213, loss: 1.1213 +2025-07-02 01:48:37,871 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:40:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7656, top5_acc: 0.9637, loss_cls: 1.1201, loss: 1.1201 +2025-07-02 01:48:52,974 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:39:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7869, top5_acc: 0.9600, loss_cls: 1.0477, loss: 1.0477 +2025-07-02 01:49:08,143 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:38:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7956, top5_acc: 0.9688, loss_cls: 0.9838, loss: 0.9838 +2025-07-02 01:49:23,394 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:38:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7925, top5_acc: 0.9756, loss_cls: 0.9641, loss: 0.9641 +2025-07-02 01:49:35,762 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 01:49:58,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:49:58,734 - pyskl - INFO - +top1_acc 0.8033 +top5_acc 0.9863 +2025-07-02 01:49:58,738 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_4.pth was removed +2025-07-02 01:49:58,845 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 01:49:58,846 - pyskl - INFO - Best top1_acc is 0.8033 at 5 epoch. +2025-07-02 01:49:58,847 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.8033, top5_acc: 0.9863 +2025-07-02 01:50:34,415 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:40:54, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.8013, top5_acc: 0.9775, loss_cls: 0.9447, loss: 0.9447 +2025-07-02 01:50:49,446 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:40:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7850, top5_acc: 0.9731, loss_cls: 0.9924, loss: 0.9924 +2025-07-02 01:51:04,439 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:39:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9731, loss_cls: 1.0179, loss: 1.0179 +2025-07-02 01:51:19,511 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:38:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 0.9322, loss: 0.9322 +2025-07-02 01:51:34,619 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:37:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9700, loss_cls: 1.0265, loss: 1.0265 +2025-07-02 01:51:49,757 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:37:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7987, top5_acc: 0.9769, loss_cls: 0.9488, loss: 0.9488 +2025-07-02 01:52:04,935 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:36:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9688, loss_cls: 0.9269, loss: 0.9269 +2025-07-02 01:52:20,071 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:35:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 0.9566, loss: 0.9566 +2025-07-02 01:52:35,277 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:35:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9731, loss_cls: 0.9342, loss: 0.9342 +2025-07-02 01:52:50,528 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:34:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7844, top5_acc: 0.9644, loss_cls: 1.0560, loss: 1.0560 +2025-07-02 01:53:05,651 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:33:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8031, top5_acc: 0.9769, loss_cls: 0.9545, loss: 0.9545 +2025-07-02 01:53:18,034 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 01:53:41,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:53:41,134 - pyskl - INFO - +top1_acc 0.7696 +top5_acc 0.9760 +2025-07-02 01:53:41,134 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.7696, top5_acc: 0.9760 +2025-07-02 01:54:17,077 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:36:17, time: 0.359, data_time: 0.209, memory: 3565, top1_acc: 0.8013, top5_acc: 0.9719, loss_cls: 0.9410, loss: 0.9410 +2025-07-02 01:54:32,077 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:35:34, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9694, loss_cls: 0.9439, loss: 0.9439 +2025-07-02 01:54:47,183 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:34:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9756, loss_cls: 0.8895, loss: 0.8895 +2025-07-02 01:55:02,481 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:34:19, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9706, loss_cls: 0.9502, loss: 0.9502 +2025-07-02 01:55:17,633 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:33:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9719, loss_cls: 0.9062, loss: 0.9062 +2025-07-02 01:55:32,746 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:33:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9769, loss_cls: 0.9167, loss: 0.9167 +2025-07-02 01:55:47,793 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:32:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9775, loss_cls: 0.8934, loss: 0.8934 +2025-07-02 01:56:02,896 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:31:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 0.8991, loss: 0.8991 +2025-07-02 01:56:18,300 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:31:19, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9800, loss_cls: 0.8532, loss: 0.8532 +2025-07-02 01:56:33,467 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:30:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9738, loss_cls: 0.8657, loss: 0.8657 +2025-07-02 01:56:48,621 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:30:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9775, loss_cls: 0.8768, loss: 0.8768 +2025-07-02 01:57:01,257 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 01:57:24,059 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:57:24,070 - pyskl - INFO - +top1_acc 0.8425 +top5_acc 0.9900 +2025-07-02 01:57:24,076 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_5.pth was removed +2025-07-02 01:57:24,193 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 01:57:24,194 - pyskl - INFO - Best top1_acc is 0.8425 at 7 epoch. +2025-07-02 01:57:24,194 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8425, top5_acc: 0.9900 +2025-07-02 01:58:00,047 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:32:09, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 0.8195, loss: 0.8195 +2025-07-02 01:58:15,188 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:31:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9738, loss_cls: 0.8962, loss: 0.8962 +2025-07-02 01:58:30,393 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:31:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9712, loss_cls: 0.8686, loss: 0.8686 +2025-07-02 01:58:45,646 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:30:27, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9775, loss_cls: 0.8304, loss: 0.8304 +2025-07-02 01:59:00,846 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:29:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9719, loss_cls: 0.8882, loss: 0.8882 +2025-07-02 01:59:16,006 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:29:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9731, loss_cls: 0.9187, loss: 0.9187 +2025-07-02 01:59:31,126 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:28:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9681, loss_cls: 0.9367, loss: 0.9367 +2025-07-02 01:59:46,236 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:28:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 0.7968, loss: 0.7968 +2025-07-02 02:00:01,444 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:27:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 0.7854, loss: 0.7854 +2025-07-02 02:00:16,641 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:27:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9750, loss_cls: 0.8531, loss: 0.8531 +2025-07-02 02:00:31,893 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:26:41, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9800, loss_cls: 0.8127, loss: 0.8127 +2025-07-02 02:00:44,217 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 02:01:07,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:01:07,250 - pyskl - INFO - +top1_acc 0.7692 +top5_acc 0.9704 +2025-07-02 02:01:07,250 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.7692, top5_acc: 0.9704 +2025-07-02 02:01:42,957 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:28:19, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9856, loss_cls: 0.7566, loss: 0.7566 +2025-07-02 02:01:57,980 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:27:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9738, loss_cls: 0.8050, loss: 0.8050 +2025-07-02 02:02:12,944 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:27:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9781, loss_cls: 0.8136, loss: 0.8136 +2025-07-02 02:02:27,969 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:26:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9738, loss_cls: 0.8808, loss: 0.8808 +2025-07-02 02:02:42,991 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:26:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9756, loss_cls: 0.8004, loss: 0.8004 +2025-07-02 02:02:58,032 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:25:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 0.8077, loss: 0.8077 +2025-07-02 02:03:13,042 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:24:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9806, loss_cls: 0.7795, loss: 0.7795 +2025-07-02 02:03:28,119 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:24:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9788, loss_cls: 0.7676, loss: 0.7676 +2025-07-02 02:03:43,351 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:23:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 0.7448, loss: 0.7448 +2025-07-02 02:03:58,869 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:23:32, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9719, loss_cls: 0.8240, loss: 0.8240 +2025-07-02 02:04:14,322 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:23:07, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9788, loss_cls: 0.7575, loss: 0.7575 +2025-07-02 02:04:26,729 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 02:04:49,538 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:04:49,548 - pyskl - INFO - +top1_acc 0.8510 +top5_acc 0.9919 +2025-07-02 02:04:49,552 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_7.pth was removed +2025-07-02 02:04:49,660 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 02:04:49,660 - pyskl - INFO - Best top1_acc is 0.8510 at 9 epoch. +2025-07-02 02:04:49,661 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8510, top5_acc: 0.9919 +2025-07-02 02:05:25,463 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:24:32, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 0.7667, loss: 0.7667 +2025-07-02 02:05:40,513 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:24:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9775, loss_cls: 0.7579, loss: 0.7579 +2025-07-02 02:05:55,601 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:23:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 0.7671, loss: 0.7671 +2025-07-02 02:06:10,636 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:22:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9800, loss_cls: 0.8002, loss: 0.8002 +2025-07-02 02:06:25,712 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:22:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 0.7251, loss: 0.7251 +2025-07-02 02:06:40,759 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:21:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9775, loss_cls: 0.8115, loss: 0.8115 +2025-07-02 02:06:55,929 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:21:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9781, loss_cls: 0.7403, loss: 0.7403 +2025-07-02 02:07:11,044 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:21:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 0.6759, loss: 0.6759 +2025-07-02 02:07:26,241 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:20:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9812, loss_cls: 0.8143, loss: 0.8143 +2025-07-02 02:07:41,288 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:20:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 0.7849, loss: 0.7849 +2025-07-02 02:07:56,338 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:19:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9775, loss_cls: 0.7753, loss: 0.7753 +2025-07-02 02:08:08,699 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 02:08:31,666 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:08:31,676 - pyskl - INFO - +top1_acc 0.8402 +top5_acc 0.9896 +2025-07-02 02:08:31,676 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8402, top5_acc: 0.9896 +2025-07-02 02:09:07,430 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:20:46, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 0.7493, loss: 0.7493 +2025-07-02 02:09:22,452 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:20:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 0.7698, loss: 0.7698 +2025-07-02 02:09:37,584 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:19:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9762, loss_cls: 0.8474, loss: 0.8474 +2025-07-02 02:09:52,616 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:19:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9744, loss_cls: 0.8218, loss: 0.8218 +2025-07-02 02:10:07,550 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:18:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9862, loss_cls: 0.6983, loss: 0.6983 +2025-07-02 02:10:22,496 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:18:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 0.7217, loss: 0.7217 +2025-07-02 02:10:37,403 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:17:47, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9788, loss_cls: 0.7709, loss: 0.7709 +2025-07-02 02:10:52,341 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:17:17, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9775, loss_cls: 0.7490, loss: 0.7490 +2025-07-02 02:11:07,540 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:16:51, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 0.7091, loss: 0.7091 +2025-07-02 02:11:22,682 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:16:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9788, loss_cls: 0.7553, loss: 0.7553 +2025-07-02 02:11:38,007 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:16:00, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 0.7419, loss: 0.7419 +2025-07-02 02:11:50,391 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 02:12:13,147 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:12:13,157 - pyskl - INFO - +top1_acc 0.8439 +top5_acc 0.9922 +2025-07-02 02:12:13,158 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8439, top5_acc: 0.9922 +2025-07-02 02:12:48,973 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:17:04, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 0.7156, loss: 0.7156 +2025-07-02 02:13:04,346 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:16:40, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 0.6868, loss: 0.6868 +2025-07-02 02:13:19,510 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:16:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9838, loss_cls: 0.6865, loss: 0.6865 +2025-07-02 02:13:34,631 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:15:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 0.7276, loss: 0.7276 +2025-07-02 02:13:49,756 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:15:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9875, loss_cls: 0.6605, loss: 0.6605 +2025-07-02 02:14:04,850 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:14:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 0.7185, loss: 0.7185 +2025-07-02 02:14:19,931 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:14:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9806, loss_cls: 0.7529, loss: 0.7529 +2025-07-02 02:14:35,033 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:14:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 0.7424, loss: 0.7424 +2025-07-02 02:14:50,148 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:13:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9838, loss_cls: 0.6893, loss: 0.6893 +2025-07-02 02:15:05,408 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:13:09, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9850, loss_cls: 0.7129, loss: 0.7129 +2025-07-02 02:15:20,641 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:12:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9781, loss_cls: 0.7100, loss: 0.7100 +2025-07-02 02:15:33,117 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 02:15:55,909 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:15:55,919 - pyskl - INFO - +top1_acc 0.8358 +top5_acc 0.9896 +2025-07-02 02:15:55,920 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8358, top5_acc: 0.9896 +2025-07-02 02:16:31,692 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:13:40, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9838, loss_cls: 0.6877, loss: 0.6877 +2025-07-02 02:16:46,743 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:13:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 0.6566, loss: 0.6566 +2025-07-02 02:17:01,820 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:12:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9794, loss_cls: 0.6861, loss: 0.6861 +2025-07-02 02:17:16,767 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:12:19, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9794, loss_cls: 0.7459, loss: 0.7459 +2025-07-02 02:17:31,902 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:11:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9862, loss_cls: 0.6804, loss: 0.6804 +2025-07-02 02:17:47,060 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:11:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9844, loss_cls: 0.7014, loss: 0.7014 +2025-07-02 02:18:02,200 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:11:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 0.7006, loss: 0.7006 +2025-07-02 02:18:17,302 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:10:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9844, loss_cls: 0.7764, loss: 0.7764 +2025-07-02 02:18:32,450 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:10:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 0.7059, loss: 0.7059 +2025-07-02 02:18:47,622 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:09:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 0.6621, loss: 0.6621 +2025-07-02 02:19:02,704 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:09:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9738, loss_cls: 0.7147, loss: 0.7147 +2025-07-02 02:19:15,214 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 02:19:37,968 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:19:37,978 - pyskl - INFO - +top1_acc 0.8654 +top5_acc 0.9915 +2025-07-02 02:19:37,981 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_9.pth was removed +2025-07-02 02:19:38,096 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-02 02:19:38,096 - pyskl - INFO - Best top1_acc is 0.8654 at 13 epoch. +2025-07-02 02:19:38,097 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8654, top5_acc: 0.9915 +2025-07-02 02:20:13,861 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:10:11, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 0.6215, loss: 0.6215 +2025-07-02 02:20:28,850 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:09:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 0.7071, loss: 0.7071 +2025-07-02 02:20:43,747 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:09:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9794, loss_cls: 0.7343, loss: 0.7343 +2025-07-02 02:20:58,735 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:08:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 0.6402, loss: 0.6402 +2025-07-02 02:21:13,742 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:08:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9800, loss_cls: 0.7562, loss: 0.7562 +2025-07-02 02:21:28,786 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:08:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.6798, loss: 0.6798 +2025-07-02 02:21:43,840 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:07:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 0.6597, loss: 0.6597 +2025-07-02 02:21:58,927 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:07:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 0.6466, loss: 0.6466 +2025-07-02 02:22:14,141 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:06:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9762, loss_cls: 0.7286, loss: 0.7286 +2025-07-02 02:22:29,395 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:06:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6676, loss: 0.6676 +2025-07-02 02:22:44,746 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:06:02, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6465, loss: 0.6465 +2025-07-02 02:22:57,308 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 02:23:19,695 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:23:19,705 - pyskl - INFO - +top1_acc 0.8639 +top5_acc 0.9896 +2025-07-02 02:23:19,705 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8639, top5_acc: 0.9896 +2025-07-02 02:23:55,469 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:06:45, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 0.6691, loss: 0.6691 +2025-07-02 02:24:10,470 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:06:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9850, loss_cls: 0.6799, loss: 0.6799 +2025-07-02 02:24:25,587 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:05:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.6433, loss: 0.6433 +2025-07-02 02:24:40,783 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:05:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9794, loss_cls: 0.6280, loss: 0.6280 +2025-07-02 02:24:55,976 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:05:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 0.6272, loss: 0.6272 +2025-07-02 02:25:11,222 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:04:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9856, loss_cls: 0.6698, loss: 0.6698 +2025-07-02 02:25:26,211 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:04:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 0.6843, loss: 0.6843 +2025-07-02 02:25:41,246 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:03:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9825, loss_cls: 0.6266, loss: 0.6266 +2025-07-02 02:25:56,439 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:03:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9850, loss_cls: 0.6997, loss: 0.6997 +2025-07-02 02:26:11,688 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:03:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 0.6663, loss: 0.6663 +2025-07-02 02:26:26,757 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:02:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.6908, loss: 0.6908 +2025-07-02 02:26:39,129 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 02:27:01,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:27:01,985 - pyskl - INFO - +top1_acc 0.8713 +top5_acc 0.9915 +2025-07-02 02:27:01,988 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_13.pth was removed +2025-07-02 02:27:02,098 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-02 02:27:02,099 - pyskl - INFO - Best top1_acc is 0.8713 at 15 epoch. +2025-07-02 02:27:02,100 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8713, top5_acc: 0.9915 +2025-07-02 02:27:37,823 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:03:24, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 0.6475, loss: 0.6475 +2025-07-02 02:27:52,812 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:02:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.6133, loss: 0.6133 +2025-07-02 02:28:07,851 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:02:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9900, loss_cls: 0.5671, loss: 0.5671 +2025-07-02 02:28:23,113 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:02:13, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9750, loss_cls: 0.7122, loss: 0.7122 +2025-07-02 02:28:38,365 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:01:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9875, loss_cls: 0.6271, loss: 0.6271 +2025-07-02 02:28:53,312 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:01:26, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9875, loss_cls: 0.6554, loss: 0.6554 +2025-07-02 02:29:08,288 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:01:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 0.7224, loss: 0.7224 +2025-07-02 02:29:23,260 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:00:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9838, loss_cls: 0.6914, loss: 0.6914 +2025-07-02 02:29:38,268 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:00:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9788, loss_cls: 0.7625, loss: 0.7625 +2025-07-02 02:29:53,303 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 6:59:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 0.6138, loss: 0.6138 +2025-07-02 02:30:08,613 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 6:59:28, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 0.6306, loss: 0.6306 +2025-07-02 02:30:21,062 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 02:30:43,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:30:43,994 - pyskl - INFO - +top1_acc 0.8450 +top5_acc 0.9904 +2025-07-02 02:30:43,995 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8450, top5_acc: 0.9904 +2025-07-02 02:31:19,758 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:00:01, time: 0.358, data_time: 0.205, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 02:31:34,827 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 6:59:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 0.6411, loss: 0.6411 +2025-07-02 02:31:49,875 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 6:59:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6638, loss: 0.6638 +2025-07-02 02:32:04,962 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:58:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9781, loss_cls: 0.6780, loss: 0.6780 +2025-07-02 02:32:19,981 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:58:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.5937, loss: 0.5937 +2025-07-02 02:32:35,066 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:58:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9881, loss_cls: 0.6395, loss: 0.6395 +2025-07-02 02:32:50,157 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:57:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9838, loss_cls: 0.6053, loss: 0.6053 +2025-07-02 02:33:05,248 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:57:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9825, loss_cls: 0.7192, loss: 0.7192 +2025-07-02 02:33:20,352 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:56:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 0.6012, loss: 0.6012 +2025-07-02 02:33:35,605 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:56:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6446, loss: 0.6446 +2025-07-02 02:33:50,762 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:56:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6358, loss: 0.6358 +2025-07-02 02:34:03,205 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 02:34:25,740 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:34:25,750 - pyskl - INFO - +top1_acc 0.8683 +top5_acc 0.9900 +2025-07-02 02:34:25,750 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8683, top5_acc: 0.9900 +2025-07-02 02:35:01,287 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:56:40, time: 0.355, data_time: 0.205, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 0.6188, loss: 0.6188 +2025-07-02 02:35:16,354 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:56:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 0.6146, loss: 0.6146 +2025-07-02 02:35:31,451 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:55:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9806, loss_cls: 0.6286, loss: 0.6286 +2025-07-02 02:35:46,509 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:55:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9838, loss_cls: 0.7019, loss: 0.7019 +2025-07-02 02:36:01,570 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:55:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.6158, loss: 0.6158 +2025-07-02 02:36:16,731 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:54:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 0.6736, loss: 0.6736 +2025-07-02 02:36:31,946 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:54:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 0.6620, loss: 0.6620 +2025-07-02 02:36:46,931 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:54:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.6128, loss: 0.6128 +2025-07-02 02:37:02,065 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:53:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 0.6240, loss: 0.6240 +2025-07-02 02:37:17,224 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:53:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 0.5994, loss: 0.5994 +2025-07-02 02:37:32,446 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:52:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6321, loss: 0.6321 +2025-07-02 02:37:44,760 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 02:38:07,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:38:07,501 - pyskl - INFO - +top1_acc 0.8809 +top5_acc 0.9930 +2025-07-02 02:38:07,505 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_15.pth was removed +2025-07-02 02:38:07,614 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 02:38:07,615 - pyskl - INFO - Best top1_acc is 0.8809 at 18 epoch. +2025-07-02 02:38:07,615 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8809, top5_acc: 0.9930 +2025-07-02 02:38:43,294 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:53:23, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5789, loss: 0.5789 +2025-07-02 02:38:58,488 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:53:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.5780, loss: 0.5780 +2025-07-02 02:39:13,680 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:52:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 0.7191, loss: 0.7191 +2025-07-02 02:39:28,847 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:52:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 0.6774, loss: 0.6774 +2025-07-02 02:39:43,994 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:51:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.5965, loss: 0.5965 +2025-07-02 02:39:59,203 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:51:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 0.6617, loss: 0.6617 +2025-07-02 02:40:14,343 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:51:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9844, loss_cls: 0.6341, loss: 0.6341 +2025-07-02 02:40:29,537 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:50:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 02:40:44,739 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:50:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.5780, loss: 0.5780 +2025-07-02 02:41:00,200 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:50:12, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9906, loss_cls: 0.6078, loss: 0.6078 +2025-07-02 02:41:15,390 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:49:51, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6061, loss: 0.6061 +2025-07-02 02:41:27,761 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 02:41:50,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:41:50,535 - pyskl - INFO - +top1_acc 0.8402 +top5_acc 0.9926 +2025-07-02 02:41:50,536 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8402, top5_acc: 0.9926 +2025-07-02 02:42:26,192 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:50:13, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.5250, loss: 0.5250 +2025-07-02 02:42:41,340 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:49:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 0.5914, loss: 0.5914 +2025-07-02 02:42:56,496 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:49:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 02:43:11,528 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:49:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.5897, loss: 0.5897 +2025-07-02 02:43:26,629 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:48:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 02:43:41,750 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:48:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 0.5640, loss: 0.5640 +2025-07-02 02:43:56,787 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:48:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 0.6060, loss: 0.6060 +2025-07-02 02:44:11,863 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:47:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9906, loss_cls: 0.5807, loss: 0.5807 +2025-07-02 02:44:26,983 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:47:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 0.6193, loss: 0.6193 +2025-07-02 02:44:42,151 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:46:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9794, loss_cls: 0.6536, loss: 0.6536 +2025-07-02 02:44:57,393 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:46:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.6426, loss: 0.6426 +2025-07-02 02:45:09,756 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 02:45:32,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:45:32,709 - pyskl - INFO - +top1_acc 0.8561 +top5_acc 0.9878 +2025-07-02 02:45:32,709 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8561, top5_acc: 0.9878 +2025-07-02 02:46:08,308 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:46:57, time: 0.356, data_time: 0.206, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9888, loss_cls: 0.6111, loss: 0.6111 +2025-07-02 02:46:23,297 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:46:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.6039, loss: 0.6039 +2025-07-02 02:46:38,287 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:46:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5663, loss: 0.5663 +2025-07-02 02:46:53,343 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:45:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 0.6124, loss: 0.6124 +2025-07-02 02:47:08,452 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:45:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.5956, loss: 0.5956 +2025-07-02 02:47:23,593 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:45:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 0.5847, loss: 0.5847 +2025-07-02 02:47:38,714 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:44:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 0.5880, loss: 0.5880 +2025-07-02 02:47:53,793 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:44:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9825, loss_cls: 0.5918, loss: 0.5918 +2025-07-02 02:48:08,846 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:44:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 02:48:24,075 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:43:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6232, loss: 0.6232 +2025-07-02 02:48:39,310 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:43:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9900, loss_cls: 0.5898, loss: 0.5898 +2025-07-02 02:48:51,603 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 02:49:14,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:49:14,579 - pyskl - INFO - +top1_acc 0.8066 +top5_acc 0.9896 +2025-07-02 02:49:14,579 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8066, top5_acc: 0.9896 +2025-07-02 02:49:50,074 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:43:40, time: 0.355, data_time: 0.205, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 0.6228, loss: 0.6228 +2025-07-02 02:50:05,111 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:43:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 0.6039, loss: 0.6039 +2025-07-02 02:50:20,137 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:42:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5587, loss: 0.5587 +2025-07-02 02:50:35,328 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:42:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 0.5742, loss: 0.5742 +2025-07-02 02:50:50,517 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:42:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5346, loss: 0.5346 +2025-07-02 02:51:05,653 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:41:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 0.5511, loss: 0.5511 +2025-07-02 02:51:20,851 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:41:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.5729, loss: 0.5729 +2025-07-02 02:51:36,059 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:41:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 0.6454, loss: 0.6454 +2025-07-02 02:51:51,195 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:40:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 0.5972, loss: 0.5972 +2025-07-02 02:52:06,393 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:40:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5771, loss: 0.5771 +2025-07-02 02:52:21,580 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:40:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 0.5818, loss: 0.5818 +2025-07-02 02:52:33,822 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 02:52:56,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:52:56,414 - pyskl - INFO - +top1_acc 0.8857 +top5_acc 0.9933 +2025-07-02 02:52:56,418 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_18.pth was removed +2025-07-02 02:52:56,533 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-07-02 02:52:56,534 - pyskl - INFO - Best top1_acc is 0.8857 at 22 epoch. +2025-07-02 02:52:56,535 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8857, top5_acc: 0.9933 +2025-07-02 02:53:32,034 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:40:27, time: 0.355, data_time: 0.205, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 0.5568, loss: 0.5568 +2025-07-02 02:53:47,063 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:40:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9900, loss_cls: 0.5528, loss: 0.5528 +2025-07-02 02:54:02,161 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:39:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5422, loss: 0.5422 +2025-07-02 02:54:17,293 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:39:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9825, loss_cls: 0.6297, loss: 0.6297 +2025-07-02 02:54:32,399 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:39:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5802, loss: 0.5802 +2025-07-02 02:54:47,482 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:38:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 02:55:02,605 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:38:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 0.5716, loss: 0.5716 +2025-07-02 02:55:17,742 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:38:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5576, loss: 0.5576 +2025-07-02 02:55:32,855 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:37:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.5805, loss: 0.5805 +2025-07-02 02:55:48,099 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:37:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.5999, loss: 0.5999 +2025-07-02 02:56:03,189 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:37:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6175, loss: 0.6175 +2025-07-02 02:56:15,465 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 02:56:38,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:56:38,196 - pyskl - INFO - +top1_acc 0.8646 +top5_acc 0.9889 +2025-07-02 02:56:38,197 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8646, top5_acc: 0.9889 +2025-07-02 02:57:13,801 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:37:13, time: 0.356, data_time: 0.207, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5736, loss: 0.5736 +2025-07-02 02:57:28,794 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:36:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 0.5871, loss: 0.5871 +2025-07-02 02:57:43,838 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:36:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5134, loss: 0.5134 +2025-07-02 02:57:58,761 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:36:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9812, loss_cls: 0.5961, loss: 0.5961 +2025-07-02 02:58:13,682 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:35:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5239, loss: 0.5239 +2025-07-02 02:58:28,692 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:35:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5221, loss: 0.5221 +2025-07-02 02:58:43,752 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:35:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.5964, loss: 0.5964 +2025-07-02 02:58:58,706 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:34:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9881, loss_cls: 0.6130, loss: 0.6130 +2025-07-02 02:59:13,749 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:34:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.5873, loss: 0.5873 +2025-07-02 02:59:28,910 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:34:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 0.5728, loss: 0.5728 +2025-07-02 02:59:43,962 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:33:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 0.5678, loss: 0.5678 +2025-07-02 02:59:56,216 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 03:00:18,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:00:18,913 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9948 +2025-07-02 03:00:18,917 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_22.pth was removed +2025-07-02 03:00:19,031 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 03:00:19,032 - pyskl - INFO - Best top1_acc is 0.9101 at 24 epoch. +2025-07-02 03:00:19,033 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.9101, top5_acc: 0.9948 +2025-07-02 03:00:54,529 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:33:54, time: 0.355, data_time: 0.205, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 03:01:09,530 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:33:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.5571, loss: 0.5571 +2025-07-02 03:01:24,535 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:33:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 03:01:39,589 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:32:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 03:01:54,702 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:32:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9819, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 03:02:10,059 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:32:13, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.5836, loss: 0.5836 +2025-07-02 03:02:25,183 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:31:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 0.6035, loss: 0.6035 +2025-07-02 03:02:40,283 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:31:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 0.6213, loss: 0.6213 +2025-07-02 03:02:55,444 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:31:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9894, loss_cls: 0.5721, loss: 0.5721 +2025-07-02 03:03:10,750 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:30:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9844, loss_cls: 0.5693, loss: 0.5693 +2025-07-02 03:03:25,991 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:30:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5280, loss: 0.5280 +2025-07-02 03:03:38,333 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 03:04:01,175 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:04:01,185 - pyskl - INFO - +top1_acc 0.8558 +top5_acc 0.9874 +2025-07-02 03:04:01,185 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8558, top5_acc: 0.9874 +2025-07-02 03:04:36,551 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:30:42, time: 0.354, data_time: 0.205, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9850, loss_cls: 0.4936, loss: 0.4936 +2025-07-02 03:04:51,463 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:30:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 03:05:06,439 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:30:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9794, loss_cls: 0.6161, loss: 0.6161 +2025-07-02 03:05:21,463 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:29:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 0.5366, loss: 0.5366 +2025-07-02 03:05:36,473 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:29:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5553, loss: 0.5553 +2025-07-02 03:05:51,614 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:29:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 0.5842, loss: 0.5842 +2025-07-02 03:06:06,777 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:28:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5147, loss: 0.5147 +2025-07-02 03:06:21,930 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:28:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5561, loss: 0.5561 +2025-07-02 03:06:37,079 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:28:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 0.5448, loss: 0.5448 +2025-07-02 03:06:52,244 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:27:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 0.6105, loss: 0.6105 +2025-07-02 03:07:07,479 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:27:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 0.5452, loss: 0.5452 +2025-07-02 03:07:19,918 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 03:07:42,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:07:42,821 - pyskl - INFO - +top1_acc 0.8842 +top5_acc 0.9930 +2025-07-02 03:07:42,822 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8842, top5_acc: 0.9930 +2025-07-02 03:08:18,499 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:27:29, time: 0.357, data_time: 0.208, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5532, loss: 0.5532 +2025-07-02 03:08:33,477 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:27:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5074, loss: 0.5074 +2025-07-02 03:08:48,480 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:26:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 0.5379, loss: 0.5379 +2025-07-02 03:09:03,513 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:26:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.5352, loss: 0.5352 +2025-07-02 03:09:18,580 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:26:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5048, loss: 0.5048 +2025-07-02 03:09:33,556 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:25:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5231, loss: 0.5231 +2025-07-02 03:09:48,531 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:25:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9812, loss_cls: 0.5879, loss: 0.5879 +2025-07-02 03:10:03,600 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:25:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 0.5486, loss: 0.5486 +2025-07-02 03:10:18,698 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:24:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.5630, loss: 0.5630 +2025-07-02 03:10:33,873 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:24:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.4949, loss: 0.4949 +2025-07-02 03:10:49,003 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:24:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5091, loss: 0.5091 +2025-07-02 03:11:01,343 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 03:11:24,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:11:24,255 - pyskl - INFO - +top1_acc 0.8824 +top5_acc 0.9885 +2025-07-02 03:11:24,255 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8824, top5_acc: 0.9885 +2025-07-02 03:11:59,983 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:24:15, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5446, loss: 0.5446 +2025-07-02 03:12:14,943 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:23:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.5553, loss: 0.5553 +2025-07-02 03:12:30,186 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:23:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9831, loss_cls: 0.5547, loss: 0.5547 +2025-07-02 03:12:45,297 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:23:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 0.5055, loss: 0.5055 +2025-07-02 03:13:00,473 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:22:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.4818, loss: 0.4818 +2025-07-02 03:13:15,571 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:22:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5657, loss: 0.5657 +2025-07-02 03:13:30,543 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:22:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5360, loss: 0.5360 +2025-07-02 03:13:45,593 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:21:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5489, loss: 0.5489 +2025-07-02 03:14:00,639 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:21:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5518, loss: 0.5518 +2025-07-02 03:14:16,000 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:21:20, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5055, loss: 0.5055 +2025-07-02 03:14:31,307 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:21:01, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5435, loss: 0.5435 +2025-07-02 03:14:43,817 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 03:15:06,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:15:06,806 - pyskl - INFO - +top1_acc 0.8683 +top5_acc 0.9900 +2025-07-02 03:15:06,806 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8683, top5_acc: 0.9900 +2025-07-02 03:15:42,855 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:21:07, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5051, loss: 0.5051 +2025-07-02 03:15:57,918 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:20:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5012, loss: 0.5012 +2025-07-02 03:16:12,918 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:20:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4745, loss: 0.4745 +2025-07-02 03:16:27,888 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:20:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.5736, loss: 0.5736 +2025-07-02 03:16:42,932 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:19:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9862, loss_cls: 0.5318, loss: 0.5318 +2025-07-02 03:16:58,030 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:19:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.5539, loss: 0.5539 +2025-07-02 03:17:13,116 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:19:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 03:17:28,362 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:18:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5063, loss: 0.5063 +2025-07-02 03:17:43,611 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:18:32, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5799, loss: 0.5799 +2025-07-02 03:17:58,917 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:18:13, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.4991, loss: 0.4991 +2025-07-02 03:18:14,074 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:17:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9862, loss_cls: 0.4703, loss: 0.4703 +2025-07-02 03:18:26,316 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 03:18:49,092 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:18:49,102 - pyskl - INFO - +top1_acc 0.8750 +top5_acc 0.9874 +2025-07-02 03:18:49,103 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8750, top5_acc: 0.9874 +2025-07-02 03:19:25,452 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:17:59, time: 0.363, data_time: 0.208, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.4985, loss: 0.4985 +2025-07-02 03:19:40,941 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:17:41, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5265, loss: 0.5265 +2025-07-02 03:19:56,455 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:17:24, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 03:20:11,866 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:17:06, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 0.5165, loss: 0.5165 +2025-07-02 03:20:27,452 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:16:49, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5150, loss: 0.5150 +2025-07-02 03:20:43,119 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:16:32, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 0.5836, loss: 0.5836 +2025-07-02 03:20:58,621 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:16:14, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.4880, loss: 0.4880 +2025-07-02 03:21:14,065 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:15:56, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.5953, loss: 0.5953 +2025-07-02 03:21:29,569 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:15:39, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 03:21:45,158 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:15:21, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 0.5353, loss: 0.5353 +2025-07-02 03:22:01,012 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:15:05, time: 0.159, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 03:22:13,961 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 03:22:36,806 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:22:36,816 - pyskl - INFO - +top1_acc 0.8894 +top5_acc 0.9948 +2025-07-02 03:22:36,817 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8894, top5_acc: 0.9948 +2025-07-02 03:23:13,423 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:15:10, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.5374, loss: 0.5374 +2025-07-02 03:23:28,948 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:14:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5702, loss: 0.5702 +2025-07-02 03:23:44,533 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:14:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.5026, loss: 0.5026 +2025-07-02 03:24:00,207 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:14:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 0.5929, loss: 0.5929 +2025-07-02 03:24:16,010 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:14:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9938, loss_cls: 0.5366, loss: 0.5366 +2025-07-02 03:24:31,697 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:13:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9856, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 03:24:47,340 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:13:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.6246, loss: 0.6246 +2025-07-02 03:25:03,054 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:13:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5749, loss: 0.5749 +2025-07-02 03:25:18,775 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:12:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5717, loss: 0.5717 +2025-07-02 03:25:34,465 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:12:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5849, loss: 0.5849 +2025-07-02 03:25:50,227 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:12:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.6247, loss: 0.6247 +2025-07-02 03:26:03,054 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 03:26:25,853 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:26:25,863 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9941 +2025-07-02 03:26:25,864 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.9064, top5_acc: 0.9941 +2025-07-02 03:27:02,594 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:12:24, time: 0.367, data_time: 0.210, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.5194, loss: 0.5194 +2025-07-02 03:27:18,119 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:12:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5327, loss: 0.5327 +2025-07-02 03:27:33,723 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:11:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5554, loss: 0.5554 +2025-07-02 03:27:49,353 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:11:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5686, loss: 0.5686 +2025-07-02 03:28:04,983 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:11:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5625, loss: 0.5625 +2025-07-02 03:28:20,615 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:10:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9919, loss_cls: 0.5893, loss: 0.5893 +2025-07-02 03:28:36,270 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:10:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9875, loss_cls: 0.5367, loss: 0.5367 +2025-07-02 03:28:51,951 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:10:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9906, loss_cls: 0.5857, loss: 0.5857 +2025-07-02 03:29:07,781 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:10:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5103, loss: 0.5103 +2025-07-02 03:29:23,421 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:09:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9919, loss_cls: 0.5602, loss: 0.5602 +2025-07-02 03:29:39,069 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:09:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5612, loss: 0.5612 +2025-07-02 03:29:51,738 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 03:30:14,506 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:30:14,517 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9922 +2025-07-02 03:30:14,517 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.8939, top5_acc: 0.9922 +2025-07-02 03:30:51,227 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:09:36, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5577, loss: 0.5577 +2025-07-02 03:31:06,714 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:09:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.6207, loss: 0.6207 +2025-07-02 03:31:22,270 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:09:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 0.4785, loss: 0.4785 +2025-07-02 03:31:37,832 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:08:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9938, loss_cls: 0.5026, loss: 0.5026 +2025-07-02 03:31:53,425 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:08:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5616, loss: 0.5616 +2025-07-02 03:32:08,997 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:08:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.5838, loss: 0.5838 +2025-07-02 03:32:24,557 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:07:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 0.5518, loss: 0.5518 +2025-07-02 03:32:40,133 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:07:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5872, loss: 0.5872 +2025-07-02 03:32:55,762 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:07:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 0.5478, loss: 0.5478 +2025-07-02 03:33:11,548 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:07:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 0.5204, loss: 0.5204 +2025-07-02 03:33:27,233 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:06:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9838, loss_cls: 0.5358, loss: 0.5358 +2025-07-02 03:33:39,970 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 03:34:02,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:34:02,905 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9919 +2025-07-02 03:34:02,906 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8961, top5_acc: 0.9919 +2025-07-02 03:34:39,436 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:06:44, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 0.4937, loss: 0.4937 +2025-07-02 03:34:54,895 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:06:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5385, loss: 0.5385 +2025-07-02 03:35:10,426 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:06:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 0.5576, loss: 0.5576 +2025-07-02 03:35:25,958 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:05:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9900, loss_cls: 0.5916, loss: 0.5916 +2025-07-02 03:35:41,648 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:05:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.4815, loss: 0.4815 +2025-07-02 03:35:57,125 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:05:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.5017, loss: 0.5017 +2025-07-02 03:36:12,610 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:04:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 03:36:28,127 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:04:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5313, loss: 0.5313 +2025-07-02 03:36:43,680 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:04:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 0.5672, loss: 0.5672 +2025-07-02 03:36:59,370 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:04:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5290, loss: 0.5290 +2025-07-02 03:37:15,099 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:03:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5498, loss: 0.5498 +2025-07-02 03:37:27,800 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 03:37:50,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:37:50,579 - pyskl - INFO - +top1_acc 0.8732 +top5_acc 0.9919 +2025-07-02 03:37:50,580 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8732, top5_acc: 0.9919 +2025-07-02 03:38:27,044 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:03:49, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4898, loss: 0.4898 +2025-07-02 03:38:42,509 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:03:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.5043, loss: 0.5043 +2025-07-02 03:38:58,046 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:03:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.5048, loss: 0.5048 +2025-07-02 03:39:13,584 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:02:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9894, loss_cls: 0.6508, loss: 0.6508 +2025-07-02 03:39:29,169 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:02:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.5284, loss: 0.5284 +2025-07-02 03:39:44,700 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:02:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5165, loss: 0.5165 +2025-07-02 03:40:00,229 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:02:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 0.5437, loss: 0.5437 +2025-07-02 03:40:15,769 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:01:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9819, loss_cls: 0.6059, loss: 0.6059 +2025-07-02 03:40:31,279 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:01:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 0.5428, loss: 0.5428 +2025-07-02 03:40:46,922 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:01:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4592, loss: 0.4592 +2025-07-02 03:41:02,580 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:00:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4853, loss: 0.4853 +2025-07-02 03:41:15,544 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 03:41:38,353 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:41:38,364 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9922 +2025-07-02 03:41:38,364 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8905, top5_acc: 0.9922 +2025-07-02 03:42:15,016 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:00:53, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 0.5438, loss: 0.5438 +2025-07-02 03:42:30,575 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:00:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.5197, loss: 0.5197 +2025-07-02 03:42:46,258 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:00:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4340, loss: 0.4340 +2025-07-02 03:43:01,963 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:00:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5365, loss: 0.5365 +2025-07-02 03:43:17,570 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 5:59:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 03:43:33,193 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 5:59:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5603, loss: 0.5603 +2025-07-02 03:43:48,779 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:59:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5663, loss: 0.5663 +2025-07-02 03:44:04,279 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:58:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5092, loss: 0.5092 +2025-07-02 03:44:19,884 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:58:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4851, loss: 0.4851 +2025-07-02 03:44:35,555 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:58:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 0.4948, loss: 0.4948 +2025-07-02 03:44:51,308 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:58:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5352, loss: 0.5352 +2025-07-02 03:45:04,396 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 03:45:27,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:45:27,444 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9963 +2025-07-02 03:45:27,444 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.9005, top5_acc: 0.9963 +2025-07-02 03:46:04,092 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:57:59, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4740, loss: 0.4740 +2025-07-02 03:46:19,565 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:57:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5573, loss: 0.5573 +2025-07-02 03:46:35,071 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:57:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9950, loss_cls: 0.5346, loss: 0.5346 +2025-07-02 03:46:50,621 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:57:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4522, loss: 0.4522 +2025-07-02 03:47:06,193 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:56:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5163, loss: 0.5163 +2025-07-02 03:47:21,702 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:56:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5230, loss: 0.5230 +2025-07-02 03:47:37,233 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:56:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4986, loss: 0.4986 +2025-07-02 03:47:52,802 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:55:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9825, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 03:48:08,451 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:55:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 03:48:24,255 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:55:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5381, loss: 0.5381 +2025-07-02 03:48:39,850 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:55:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9938, loss_cls: 0.4919, loss: 0.4919 +2025-07-02 03:48:52,636 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 03:49:15,339 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:49:15,349 - pyskl - INFO - +top1_acc 0.8998 +top5_acc 0.9922 +2025-07-02 03:49:15,350 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8998, top5_acc: 0.9922 +2025-07-02 03:49:51,931 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:55:02, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4583, loss: 0.4583 +2025-07-02 03:50:07,357 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:54:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 03:50:22,835 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:54:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4711, loss: 0.4711 +2025-07-02 03:50:38,342 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:54:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9856, loss_cls: 0.5690, loss: 0.5690 +2025-07-02 03:50:53,892 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:53:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 0.4414, loss: 0.4414 +2025-07-02 03:51:09,455 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:53:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5491, loss: 0.5491 +2025-07-02 03:51:25,071 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:53:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5226, loss: 0.5226 +2025-07-02 03:51:40,557 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:52:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4961, loss: 0.4961 +2025-07-02 03:51:56,051 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:52:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4995, loss: 0.4995 +2025-07-02 03:52:11,676 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:52:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.5152, loss: 0.5152 +2025-07-02 03:52:27,304 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:52:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9856, loss_cls: 0.5468, loss: 0.5468 +2025-07-02 03:52:40,274 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 03:53:03,256 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:53:03,267 - pyskl - INFO - +top1_acc 0.8894 +top5_acc 0.9919 +2025-07-02 03:53:03,267 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8894, top5_acc: 0.9919 +2025-07-02 03:53:40,031 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:52:03, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4659, loss: 0.4659 +2025-07-02 03:53:55,572 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:51:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.5045, loss: 0.5045 +2025-07-02 03:54:11,140 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:51:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 03:54:26,710 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:51:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 0.4660, loss: 0.4660 +2025-07-02 03:54:42,275 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:50:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 0.5084, loss: 0.5084 +2025-07-02 03:54:57,842 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:50:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9838, loss_cls: 0.5612, loss: 0.5612 +2025-07-02 03:55:13,445 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:50:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5447, loss: 0.5447 +2025-07-02 03:55:29,028 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:50:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5301, loss: 0.5301 +2025-07-02 03:55:44,598 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:49:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9881, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 03:56:00,200 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:49:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5663, loss: 0.5663 +2025-07-02 03:56:15,755 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:49:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5214, loss: 0.5214 +2025-07-02 03:56:28,569 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 03:56:51,043 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 03:56:51,053 - pyskl - INFO - +top1_acc 0.8887 +top5_acc 0.9941 +2025-07-02 03:56:51,053 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8887, top5_acc: 0.9941 +2025-07-02 03:57:27,676 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:49:05, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 0.5183, loss: 0.5183 +2025-07-02 03:57:43,206 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:48:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5104, loss: 0.5104 +2025-07-02 03:57:58,863 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:48:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4636, loss: 0.4636 +2025-07-02 03:58:14,490 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:48:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 03:58:30,446 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:47:57, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5088, loss: 0.5088 +2025-07-02 03:58:46,389 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:47:41, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.4998, loss: 0.4998 +2025-07-02 03:59:01,990 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:47:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4747, loss: 0.4747 +2025-07-02 03:59:17,575 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:47:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9850, loss_cls: 0.5350, loss: 0.5350 +2025-07-02 03:59:33,174 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:46:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4621, loss: 0.4621 +2025-07-02 03:59:48,891 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:46:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4968, loss: 0.4968 +2025-07-02 04:00:04,544 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:46:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4944, loss: 0.4944 +2025-07-02 04:00:17,323 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 04:00:40,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:00:40,032 - pyskl - INFO - +top1_acc 0.8650 +top5_acc 0.9922 +2025-07-02 04:00:40,032 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8650, top5_acc: 0.9922 +2025-07-02 04:01:16,443 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:46:08, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4392, loss: 0.4392 +2025-07-02 04:01:31,934 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:45:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 04:01:47,591 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:45:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4578, loss: 0.4578 +2025-07-02 04:02:03,266 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:45:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 04:02:18,772 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:44:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4094, loss: 0.4094 +2025-07-02 04:02:34,273 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:44:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4575, loss: 0.4575 +2025-07-02 04:02:49,764 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:44:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9850, loss_cls: 0.5046, loss: 0.5046 +2025-07-02 04:03:05,379 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:44:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9875, loss_cls: 0.5083, loss: 0.5083 +2025-07-02 04:03:20,935 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:43:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4586, loss: 0.4586 +2025-07-02 04:03:36,835 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:43:33, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5274, loss: 0.5274 +2025-07-02 04:03:52,631 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:43:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4876, loss: 0.4876 +2025-07-02 04:04:05,359 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 04:04:28,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:04:28,054 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9937 +2025-07-02 04:04:28,055 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.8902, top5_acc: 0.9937 +2025-07-02 04:05:04,678 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:43:09, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4531, loss: 0.4531 +2025-07-02 04:05:20,137 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4721, loss: 0.4721 +2025-07-02 04:05:35,669 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:42:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.5013, loss: 0.5013 +2025-07-02 04:05:51,238 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:42:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 04:06:06,919 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:42:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.5139, loss: 0.5139 +2025-07-02 04:06:22,488 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:41:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.5442, loss: 0.5442 +2025-07-02 04:06:38,071 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:41:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4559, loss: 0.4559 +2025-07-02 04:06:53,670 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:41:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4792, loss: 0.4792 +2025-07-02 04:07:09,283 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:40:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4927, loss: 0.4927 +2025-07-02 04:07:24,862 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:40:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4745, loss: 0.4745 +2025-07-02 04:07:40,513 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:40:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.4722, loss: 0.4722 +2025-07-02 04:07:53,229 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 04:08:16,042 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:08:16,052 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9959 +2025-07-02 04:08:16,055 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_24.pth was removed +2025-07-02 04:08:16,163 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2025-07-02 04:08:16,164 - pyskl - INFO - Best top1_acc is 0.9135 at 42 epoch. +2025-07-02 04:08:16,164 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9135, top5_acc: 0.9959 +2025-07-02 04:08:52,453 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:40:08, time: 0.363, data_time: 0.205, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3325, loss: 0.3325 +2025-07-02 04:09:07,961 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:39:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4478, loss: 0.4478 +2025-07-02 04:09:23,492 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:39:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 04:09:39,009 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:39:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.4838, loss: 0.4838 +2025-07-02 04:09:54,572 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:38:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4804, loss: 0.4804 +2025-07-02 04:10:10,130 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:38:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9862, loss_cls: 0.5264, loss: 0.5264 +2025-07-02 04:10:25,683 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:38:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4754, loss: 0.4754 +2025-07-02 04:10:41,283 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:38:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5067, loss: 0.5067 +2025-07-02 04:10:57,105 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:37:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9856, loss_cls: 0.4859, loss: 0.4859 +2025-07-02 04:11:12,906 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:37:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 04:11:28,747 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:37:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9956, loss_cls: 0.4706, loss: 0.4706 +2025-07-02 04:11:41,498 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 04:12:04,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:12:04,175 - pyskl - INFO - +top1_acc 0.8916 +top5_acc 0.9852 +2025-07-02 04:12:04,175 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8916, top5_acc: 0.9852 +2025-07-02 04:12:40,555 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:37:08, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4379, loss: 0.4379 +2025-07-02 04:12:55,997 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:36:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4667, loss: 0.4667 +2025-07-02 04:13:11,530 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:36:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.4147, loss: 0.4147 +2025-07-02 04:13:27,194 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:36:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 04:13:42,926 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:35:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 0.4886, loss: 0.4886 +2025-07-02 04:13:58,583 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:35:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4654, loss: 0.4654 +2025-07-02 04:14:14,186 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:35:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5135, loss: 0.5135 +2025-07-02 04:14:29,788 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:35:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4991, loss: 0.4991 +2025-07-02 04:14:45,376 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:34:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.4806, loss: 0.4806 +2025-07-02 04:15:01,066 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:34:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4523, loss: 0.4523 +2025-07-02 04:15:16,717 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:34:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4690, loss: 0.4690 +2025-07-02 04:15:29,562 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 04:15:52,421 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:15:52,432 - pyskl - INFO - +top1_acc 0.8835 +top5_acc 0.9904 +2025-07-02 04:15:52,432 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.8835, top5_acc: 0.9904 +2025-07-02 04:16:29,071 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:34:07, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4656, loss: 0.4656 +2025-07-02 04:16:44,623 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:33:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.4345, loss: 0.4345 +2025-07-02 04:17:00,158 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:33:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4833, loss: 0.4833 +2025-07-02 04:17:15,704 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:33:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4099, loss: 0.4099 +2025-07-02 04:17:31,527 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:32:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4807, loss: 0.4807 +2025-07-02 04:17:47,262 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:32:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4500, loss: 0.4500 +2025-07-02 04:18:02,879 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:32:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.4759, loss: 0.4759 +2025-07-02 04:18:18,535 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:32:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 0.4806, loss: 0.4806 +2025-07-02 04:18:34,127 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:31:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.4794, loss: 0.4794 +2025-07-02 04:18:49,721 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:31:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.4990, loss: 0.4990 +2025-07-02 04:19:05,373 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:31:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 04:19:18,117 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 04:19:40,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:19:40,788 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9904 +2025-07-02 04:19:40,789 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.9050, top5_acc: 0.9904 +2025-07-02 04:20:17,624 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:31:07, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4506, loss: 0.4506 +2025-07-02 04:20:33,124 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:30:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9838, loss_cls: 0.5114, loss: 0.5114 +2025-07-02 04:20:48,694 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:30:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4525, loss: 0.4525 +2025-07-02 04:21:04,298 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:30:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9938, loss_cls: 0.4632, loss: 0.4632 +2025-07-02 04:21:19,910 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:29:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 04:21:35,432 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:29:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4332, loss: 0.4332 +2025-07-02 04:21:50,947 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:29:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4902, loss: 0.4902 +2025-07-02 04:22:06,624 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:29:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4882, loss: 0.4882 +2025-07-02 04:22:22,445 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:28:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 04:22:38,135 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:28:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.4758, loss: 0.4758 +2025-07-02 04:22:53,735 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:28:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9962, loss_cls: 0.4498, loss: 0.4498 +2025-07-02 04:23:06,618 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 04:23:29,797 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:23:29,807 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9908 +2025-07-02 04:23:29,807 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9031, top5_acc: 0.9908 +2025-07-02 04:24:06,229 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:28:05, time: 0.364, data_time: 0.207, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.4801, loss: 0.4801 +2025-07-02 04:24:21,649 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:27:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4596, loss: 0.4596 +2025-07-02 04:24:37,179 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:27:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4668, loss: 0.4668 +2025-07-02 04:24:52,859 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:27:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4790, loss: 0.4790 +2025-07-02 04:25:08,746 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:26:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 04:25:24,381 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:26:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4518, loss: 0.4518 +2025-07-02 04:25:39,954 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:26:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 04:25:55,597 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:26:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4805, loss: 0.4805 +2025-07-02 04:26:11,175 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:25:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4554, loss: 0.4554 +2025-07-02 04:26:26,770 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:25:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4593, loss: 0.4593 +2025-07-02 04:26:42,397 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:25:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 04:26:55,126 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 04:27:17,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:27:17,900 - pyskl - INFO - +top1_acc 0.8928 +top5_acc 0.9911 +2025-07-02 04:27:17,901 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.8928, top5_acc: 0.9911 +2025-07-02 04:27:54,378 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:25:02, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3964, loss: 0.3964 +2025-07-02 04:28:09,902 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:24:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.4856, loss: 0.4856 +2025-07-02 04:28:25,467 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:24:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4077, loss: 0.4077 +2025-07-02 04:28:41,087 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:24:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4768, loss: 0.4768 +2025-07-02 04:28:56,788 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:23:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4786, loss: 0.4786 +2025-07-02 04:29:12,476 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:23:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4405, loss: 0.4405 +2025-07-02 04:29:28,186 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:23:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 04:29:43,908 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:23:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5195, loss: 0.5195 +2025-07-02 04:29:59,577 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:22:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4836, loss: 0.4836 +2025-07-02 04:30:15,280 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:22:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5439, loss: 0.5439 +2025-07-02 04:30:30,929 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:22:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 04:30:43,703 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 04:31:06,649 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:31:06,659 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9945 +2025-07-02 04:31:06,662 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_42.pth was removed +2025-07-02 04:31:06,783 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. +2025-07-02 04:31:06,783 - pyskl - INFO - Best top1_acc is 0.9212 at 48 epoch. +2025-07-02 04:31:06,784 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.9212, top5_acc: 0.9945 +2025-07-02 04:31:43,355 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:22:00, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3761, loss: 0.3761 +2025-07-02 04:31:58,826 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:21:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.3489, loss: 0.3489 +2025-07-02 04:32:14,351 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:21:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9969, loss_cls: 0.4228, loss: 0.4228 +2025-07-02 04:32:29,920 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:21:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.4579, loss: 0.4579 +2025-07-02 04:32:45,533 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:20:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4789, loss: 0.4789 +2025-07-02 04:33:01,110 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:20:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4315, loss: 0.4315 +2025-07-02 04:33:16,742 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:20:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4428, loss: 0.4428 +2025-07-02 04:33:32,354 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:20:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 0.4280, loss: 0.4280 +2025-07-02 04:33:47,950 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:19:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9919, loss_cls: 0.5401, loss: 0.5401 +2025-07-02 04:34:03,514 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:19:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.4722, loss: 0.4722 +2025-07-02 04:34:19,105 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:19:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4669, loss: 0.4669 +2025-07-02 04:34:31,992 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 04:34:54,998 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:34:55,008 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9930 +2025-07-02 04:34:55,009 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9013, top5_acc: 0.9930 +2025-07-02 04:35:31,788 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:18:57, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3949, loss: 0.3949 +2025-07-02 04:35:47,278 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:18:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4053, loss: 0.4053 +2025-07-02 04:36:02,831 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:18:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4644, loss: 0.4644 +2025-07-02 04:36:18,360 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:18:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4527, loss: 0.4527 +2025-07-02 04:36:34,019 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:17:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4056, loss: 0.4056 +2025-07-02 04:36:49,507 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:17:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4626, loss: 0.4626 +2025-07-02 04:37:05,039 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:17:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5150, loss: 0.5150 +2025-07-02 04:37:20,720 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:16:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 0.4759, loss: 0.4759 +2025-07-02 04:37:36,326 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:16:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9850, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 04:37:51,998 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:16:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4370, loss: 0.4370 +2025-07-02 04:38:07,655 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:16:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9888, loss_cls: 0.4195, loss: 0.4195 +2025-07-02 04:38:20,595 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 04:38:43,490 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:38:43,501 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9900 +2025-07-02 04:38:43,501 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8924, top5_acc: 0.9900 +2025-07-02 04:39:20,118 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:15:53, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3952, loss: 0.3952 +2025-07-02 04:39:35,579 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:15:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9919, loss_cls: 0.4738, loss: 0.4738 +2025-07-02 04:39:51,112 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:15:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4137, loss: 0.4137 +2025-07-02 04:40:06,637 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:15:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3940, loss: 0.3940 +2025-07-02 04:40:22,219 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:14:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3854, loss: 0.3854 +2025-07-02 04:40:37,648 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:14:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3969, loss: 0.3969 +2025-07-02 04:40:53,174 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:14:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.4883, loss: 0.4883 +2025-07-02 04:41:08,768 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:13:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9906, loss_cls: 0.3930, loss: 0.3930 +2025-07-02 04:41:24,350 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:13:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5319, loss: 0.5319 +2025-07-02 04:41:40,108 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:13:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4246, loss: 0.4246 +2025-07-02 04:41:55,851 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:13:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4597, loss: 0.4597 +2025-07-02 04:42:08,596 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 04:42:31,489 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:42:31,500 - pyskl - INFO - +top1_acc 0.9027 +top5_acc 0.9941 +2025-07-02 04:42:31,500 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9027, top5_acc: 0.9941 +2025-07-02 04:43:07,632 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:12:47, time: 0.361, data_time: 0.204, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3520, loss: 0.3520 +2025-07-02 04:43:23,070 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:12:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3955, loss: 0.3955 +2025-07-02 04:43:38,544 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:12:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4045, loss: 0.4045 +2025-07-02 04:43:54,119 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:11:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4182, loss: 0.4182 +2025-07-02 04:44:09,661 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:11:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4122, loss: 0.4122 +2025-07-02 04:44:25,246 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:11:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4470, loss: 0.4470 +2025-07-02 04:44:40,889 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:11:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4455, loss: 0.4455 +2025-07-02 04:44:56,449 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:10:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4494, loss: 0.4494 +2025-07-02 04:45:12,050 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:10:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4379, loss: 0.4379 +2025-07-02 04:45:27,710 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:10:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4526, loss: 0.4526 +2025-07-02 04:45:43,411 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:09:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4354, loss: 0.4354 +2025-07-02 04:45:56,160 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 04:46:18,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:46:18,994 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9959 +2025-07-02 04:46:18,994 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9109, top5_acc: 0.9959 +2025-07-02 04:46:55,408 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:09:42, time: 0.364, data_time: 0.207, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.3823, loss: 0.3823 +2025-07-02 04:47:10,907 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:09:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3531, loss: 0.3531 +2025-07-02 04:47:26,427 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:09:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4127, loss: 0.4127 +2025-07-02 04:47:41,999 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:08:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.4034, loss: 0.4034 +2025-07-02 04:47:57,532 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:08:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4282, loss: 0.4282 +2025-07-02 04:48:13,124 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:08:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9944, loss_cls: 0.4725, loss: 0.4725 +2025-07-02 04:48:28,713 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:07:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4340, loss: 0.4340 +2025-07-02 04:48:44,297 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:07:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4244, loss: 0.4244 +2025-07-02 04:48:59,907 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:07:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 0.4548, loss: 0.4548 +2025-07-02 04:49:15,613 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:07:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4912, loss: 0.4912 +2025-07-02 04:49:31,433 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:06:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4171, loss: 0.4171 +2025-07-02 04:49:44,158 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 04:50:06,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:50:06,945 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9919 +2025-07-02 04:50:06,946 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9098, top5_acc: 0.9919 +2025-07-02 04:50:43,189 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:06:37, time: 0.362, data_time: 0.204, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.4151, loss: 0.4151 +2025-07-02 04:50:58,670 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:06:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4283, loss: 0.4283 +2025-07-02 04:51:14,147 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:06:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4425, loss: 0.4425 +2025-07-02 04:51:29,692 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:05:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3925, loss: 0.3925 +2025-07-02 04:51:45,239 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:05:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 04:52:00,874 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:05:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4051, loss: 0.4051 +2025-07-02 04:52:16,469 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:04:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.4712, loss: 0.4712 +2025-07-02 04:52:32,047 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:04:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4432, loss: 0.4432 +2025-07-02 04:52:47,698 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:04:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 04:53:03,361 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:04:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.4985, loss: 0.4985 +2025-07-02 04:53:19,021 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:03:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 04:53:31,734 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 04:53:54,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:53:54,782 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9922 +2025-07-02 04:53:54,783 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.9005, top5_acc: 0.9922 +2025-07-02 04:54:31,466 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:03:32, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9900, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 04:54:47,054 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:03:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.4219, loss: 0.4219 +2025-07-02 04:55:02,595 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:02:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 04:55:18,163 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:02:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4094, loss: 0.4094 +2025-07-02 04:55:33,935 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:02:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.4036, loss: 0.4036 +2025-07-02 04:55:49,565 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:02:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3736, loss: 0.3736 +2025-07-02 04:56:05,164 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:01:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.4195, loss: 0.4195 +2025-07-02 04:56:20,785 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:01:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4226, loss: 0.4226 +2025-07-02 04:56:36,558 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:01:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3865, loss: 0.3865 +2025-07-02 04:56:52,144 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:00:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 0.4485, loss: 0.4485 +2025-07-02 04:57:07,760 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:00:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4865, loss: 0.4865 +2025-07-02 04:57:20,394 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 04:57:43,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:57:43,261 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9930 +2025-07-02 04:57:43,265 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_48.pth was removed +2025-07-02 04:57:43,378 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. +2025-07-02 04:57:43,379 - pyskl - INFO - Best top1_acc is 0.9257 at 55 epoch. +2025-07-02 04:57:43,379 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.9257, top5_acc: 0.9930 +2025-07-02 04:58:20,022 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:00:27, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 04:58:35,473 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:00:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 0.4136, loss: 0.4136 +2025-07-02 04:58:50,959 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 4:59:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4161, loss: 0.4161 +2025-07-02 04:59:06,547 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 4:59:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 0.4312, loss: 0.4312 +2025-07-02 04:59:22,125 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 4:59:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3532, loss: 0.3532 +2025-07-02 04:59:37,736 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:59:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3925, loss: 0.3925 +2025-07-02 04:59:53,341 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:58:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 05:00:08,936 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:58:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4488, loss: 0.4488 +2025-07-02 05:00:24,558 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:58:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9950, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 05:00:40,098 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:57:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4543, loss: 0.4543 +2025-07-02 05:00:55,637 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:57:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4130, loss: 0.4130 +2025-07-02 05:01:08,397 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 05:01:31,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:01:31,173 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9896 +2025-07-02 05:01:31,173 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.8846, top5_acc: 0.9896 +2025-07-02 05:02:08,023 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:57:22, time: 0.368, data_time: 0.211, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4000, loss: 0.4000 +2025-07-02 05:02:23,498 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:57:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 05:02:38,994 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:56:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3764, loss: 0.3764 +2025-07-02 05:02:54,465 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:56:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 05:03:10,006 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:56:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4236, loss: 0.4236 +2025-07-02 05:03:25,571 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:55:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 05:03:41,078 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:55:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4015, loss: 0.4015 +2025-07-02 05:03:56,608 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:55:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4052, loss: 0.4052 +2025-07-02 05:04:12,388 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:55:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.4451, loss: 0.4451 +2025-07-02 05:04:27,991 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:54:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9938, loss_cls: 0.4736, loss: 0.4736 +2025-07-02 05:04:43,630 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:54:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4221, loss: 0.4221 +2025-07-02 05:04:56,308 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 05:05:19,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:05:19,145 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9970 +2025-07-02 05:05:19,148 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_55.pth was removed +2025-07-02 05:05:19,264 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. +2025-07-02 05:05:19,264 - pyskl - INFO - Best top1_acc is 0.9301 at 57 epoch. +2025-07-02 05:05:19,265 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.9301, top5_acc: 0.9970 +2025-07-02 05:05:55,754 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:54:15, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3640, loss: 0.3640 +2025-07-02 05:06:11,258 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:53:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.4028, loss: 0.4028 +2025-07-02 05:06:26,780 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:53:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3967, loss: 0.3967 +2025-07-02 05:06:42,347 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:53:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.4397, loss: 0.4397 +2025-07-02 05:06:57,881 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:53:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4229, loss: 0.4229 +2025-07-02 05:07:13,477 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:52:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9894, loss_cls: 0.4129, loss: 0.4129 +2025-07-02 05:07:29,097 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:52:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3702, loss: 0.3702 +2025-07-02 05:07:44,750 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:52:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.3838, loss: 0.3838 +2025-07-02 05:08:00,509 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:51:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9862, loss_cls: 0.4386, loss: 0.4386 +2025-07-02 05:08:16,172 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:51:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4155, loss: 0.4155 +2025-07-02 05:08:31,817 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:51:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 05:08:44,524 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 05:09:07,168 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:09:07,178 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9930 +2025-07-02 05:09:07,179 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9238, top5_acc: 0.9930 +2025-07-02 05:09:43,844 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:51:09, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.3498, loss: 0.3498 +2025-07-02 05:09:59,384 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:50:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3744, loss: 0.3744 +2025-07-02 05:10:14,940 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:50:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 0.3729, loss: 0.3729 +2025-07-02 05:10:30,563 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:50:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4578, loss: 0.4578 +2025-07-02 05:10:46,148 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:50:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4471, loss: 0.4471 +2025-07-02 05:11:01,794 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:49:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3799, loss: 0.3799 +2025-07-02 05:11:17,514 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:49:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9900, loss_cls: 0.4197, loss: 0.4197 +2025-07-02 05:11:33,296 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:49:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3714, loss: 0.3714 +2025-07-02 05:11:48,928 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:48:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3792, loss: 0.3792 +2025-07-02 05:12:04,725 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:48:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 05:12:20,334 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:48:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4029, loss: 0.4029 +2025-07-02 05:12:32,932 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 05:12:56,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:12:56,037 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9937 +2025-07-02 05:12:56,038 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9197, top5_acc: 0.9937 +2025-07-02 05:13:32,785 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:48:04, time: 0.367, data_time: 0.210, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3515, loss: 0.3515 +2025-07-02 05:13:48,212 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:47:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3985, loss: 0.3985 +2025-07-02 05:14:03,670 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:47:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4078, loss: 0.4078 +2025-07-02 05:14:19,361 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:47:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3732, loss: 0.3732 +2025-07-02 05:14:34,987 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:46:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3561, loss: 0.3561 +2025-07-02 05:14:50,648 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:46:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3748, loss: 0.3748 +2025-07-02 05:15:06,227 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:46:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9894, loss_cls: 0.3904, loss: 0.3904 +2025-07-02 05:15:21,731 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:46:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.3994, loss: 0.3994 +2025-07-02 05:15:37,276 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:45:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9900, loss_cls: 0.3915, loss: 0.3915 +2025-07-02 05:15:52,841 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:45:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4450, loss: 0.4450 +2025-07-02 05:16:08,537 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:45:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4036, loss: 0.4036 +2025-07-02 05:16:21,236 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 05:16:43,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:16:44,002 - pyskl - INFO - +top1_acc 0.9038 +top5_acc 0.9937 +2025-07-02 05:16:44,003 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9038, top5_acc: 0.9937 +2025-07-02 05:17:20,756 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:44:58, time: 0.367, data_time: 0.210, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3700, loss: 0.3700 +2025-07-02 05:17:36,227 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:44:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 05:17:51,822 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:44:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3536, loss: 0.3536 +2025-07-02 05:18:07,433 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:44:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 05:18:22,930 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:43:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9912, loss_cls: 0.3750, loss: 0.3750 +2025-07-02 05:18:38,430 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:43:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4375, loss: 0.4375 +2025-07-02 05:18:53,958 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:43:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9975, loss_cls: 0.3800, loss: 0.3800 +2025-07-02 05:19:09,480 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:42:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4440, loss: 0.4440 +2025-07-02 05:19:24,929 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:42:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3707, loss: 0.3707 +2025-07-02 05:19:40,477 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:42:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.3987, loss: 0.3987 +2025-07-02 05:19:56,190 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:42:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3680, loss: 0.3680 +2025-07-02 05:20:08,898 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 05:20:31,634 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:20:31,644 - pyskl - INFO - +top1_acc 0.9246 +top5_acc 0.9948 +2025-07-02 05:20:31,644 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9246, top5_acc: 0.9948 +2025-07-02 05:21:08,186 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:41:50, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3418, loss: 0.3418 +2025-07-02 05:21:23,695 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:41:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3915, loss: 0.3915 +2025-07-02 05:21:39,243 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:41:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3389, loss: 0.3389 +2025-07-02 05:21:54,840 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:40:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9888, loss_cls: 0.3929, loss: 0.3929 +2025-07-02 05:22:10,436 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:40:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3370, loss: 0.3370 +2025-07-02 05:22:26,151 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:40:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3623, loss: 0.3623 +2025-07-02 05:22:41,810 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:40:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4348, loss: 0.4348 +2025-07-02 05:22:57,440 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:39:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.4163, loss: 0.4163 +2025-07-02 05:23:13,010 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:39:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3889, loss: 0.3889 +2025-07-02 05:23:28,618 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:39:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4256, loss: 0.4256 +2025-07-02 05:23:44,162 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:39:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.3825, loss: 0.3825 +2025-07-02 05:23:56,889 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 05:24:19,704 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:24:19,715 - pyskl - INFO - +top1_acc 0.8820 +top5_acc 0.9841 +2025-07-02 05:24:19,715 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.8820, top5_acc: 0.9841 +2025-07-02 05:24:56,302 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:38:43, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3804, loss: 0.3804 +2025-07-02 05:25:11,798 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:38:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3312, loss: 0.3312 +2025-07-02 05:25:27,327 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:38:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.4084, loss: 0.4084 +2025-07-02 05:25:42,880 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:37:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4038, loss: 0.4038 +2025-07-02 05:25:58,488 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:37:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3120, loss: 0.3120 +2025-07-02 05:26:14,120 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:37:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4081, loss: 0.4081 +2025-07-02 05:26:29,706 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:37:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.3913, loss: 0.3913 +2025-07-02 05:26:45,362 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:36:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3441, loss: 0.3441 +2025-07-02 05:27:00,949 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:36:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3553, loss: 0.3553 +2025-07-02 05:27:16,600 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:36:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 05:27:32,213 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:35:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4217, loss: 0.4217 +2025-07-02 05:27:44,977 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 05:28:07,956 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:28:07,966 - pyskl - INFO - +top1_acc 0.8928 +top5_acc 0.9911 +2025-07-02 05:28:07,966 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.8928, top5_acc: 0.9911 +2025-07-02 05:28:44,547 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:35:36, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3941, loss: 0.3941 +2025-07-02 05:29:00,042 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:35:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.4096, loss: 0.4096 +2025-07-02 05:29:15,562 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:35:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3680, loss: 0.3680 +2025-07-02 05:29:31,069 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:34:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3584, loss: 0.3584 +2025-07-02 05:29:46,606 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:34:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4164, loss: 0.4164 +2025-07-02 05:30:02,198 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:34:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 05:30:17,995 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:33:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3618, loss: 0.3618 +2025-07-02 05:30:33,654 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:33:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.4079, loss: 0.4079 +2025-07-02 05:30:49,254 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:33:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3558, loss: 0.3558 +2025-07-02 05:31:04,865 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:33:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 05:31:20,467 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:32:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9919, loss_cls: 0.3519, loss: 0.3519 +2025-07-02 05:31:33,300 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 05:31:56,348 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:31:56,358 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9959 +2025-07-02 05:31:56,362 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_57.pth was removed +2025-07-02 05:31:56,472 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-07-02 05:31:56,472 - pyskl - INFO - Best top1_acc is 0.9349 at 64 epoch. +2025-07-02 05:31:56,473 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9349, top5_acc: 0.9959 +2025-07-02 05:32:33,187 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:32:29, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2784, loss: 0.2784 +2025-07-02 05:32:48,834 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:32:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3461, loss: 0.3461 +2025-07-02 05:33:04,396 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:31:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3859, loss: 0.3859 +2025-07-02 05:33:19,857 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:31:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 05:33:35,317 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:31:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4170, loss: 0.4170 +2025-07-02 05:33:50,853 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:31:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3611, loss: 0.3611 +2025-07-02 05:34:06,481 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:30:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.4007, loss: 0.4007 +2025-07-02 05:34:22,098 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:30:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4347, loss: 0.4347 +2025-07-02 05:34:37,702 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:30:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3746, loss: 0.3746 +2025-07-02 05:34:53,253 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:29:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4257, loss: 0.4257 +2025-07-02 05:35:08,817 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:29:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 05:35:21,499 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 05:35:44,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:35:44,248 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9933 +2025-07-02 05:35:44,249 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9068, top5_acc: 0.9933 +2025-07-02 05:36:20,857 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:29:21, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.3925, loss: 0.3925 +2025-07-02 05:36:36,289 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:29:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3408, loss: 0.3408 +2025-07-02 05:36:51,704 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:28:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3879, loss: 0.3879 +2025-07-02 05:37:07,152 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:28:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.4102, loss: 0.4102 +2025-07-02 05:37:22,632 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:28:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3480, loss: 0.3480 +2025-07-02 05:37:38,141 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:27:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3505, loss: 0.3505 +2025-07-02 05:37:53,677 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:27:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3407, loss: 0.3407 +2025-07-02 05:38:09,243 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:27:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3488, loss: 0.3488 +2025-07-02 05:38:24,771 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:27:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9919, loss_cls: 0.3366, loss: 0.3366 +2025-07-02 05:38:40,333 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:26:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 05:38:55,951 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:26:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3679, loss: 0.3679 +2025-07-02 05:39:08,623 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 05:39:31,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:39:31,797 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9948 +2025-07-02 05:39:31,798 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9090, top5_acc: 0.9948 +2025-07-02 05:40:08,781 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:26:13, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3394, loss: 0.3394 +2025-07-02 05:40:24,387 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:25:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9894, loss_cls: 0.3628, loss: 0.3628 +2025-07-02 05:40:40,017 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:25:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 05:40:55,641 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:25:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.3982, loss: 0.3982 +2025-07-02 05:41:11,325 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:25:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3335, loss: 0.3335 +2025-07-02 05:41:27,067 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:24:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3448, loss: 0.3448 +2025-07-02 05:41:42,728 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:24:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 05:41:58,331 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:24:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3835, loss: 0.3835 +2025-07-02 05:42:13,898 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:23:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3609, loss: 0.3609 +2025-07-02 05:42:29,423 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:23:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 0.3838, loss: 0.3838 +2025-07-02 05:42:45,236 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:23:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 05:42:58,161 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 05:43:21,266 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:43:21,277 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9900 +2025-07-02 05:43:21,277 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9186, top5_acc: 0.9900 +2025-07-02 05:43:58,317 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:23:07, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.3707, loss: 0.3707 +2025-07-02 05:44:13,875 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:22:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3387, loss: 0.3387 +2025-07-02 05:44:29,465 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:22:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3157, loss: 0.3157 +2025-07-02 05:44:45,029 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:22:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3666, loss: 0.3666 +2025-07-02 05:45:00,652 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:21:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3402, loss: 0.3402 +2025-07-02 05:45:16,275 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:21:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3573, loss: 0.3573 +2025-07-02 05:45:31,912 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:21:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3507, loss: 0.3507 +2025-07-02 05:45:47,526 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:21:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3101, loss: 0.3101 +2025-07-02 05:46:03,114 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:20:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3601, loss: 0.3601 +2025-07-02 05:46:18,811 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:20:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3746, loss: 0.3746 +2025-07-02 05:46:34,361 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:20:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4063, loss: 0.4063 +2025-07-02 05:46:47,059 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 05:47:10,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:47:10,125 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9911 +2025-07-02 05:47:10,125 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.8905, top5_acc: 0.9911 +2025-07-02 05:47:47,178 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:19:59, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3410, loss: 0.3410 +2025-07-02 05:48:02,661 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:19:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 05:48:18,234 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:19:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3005, loss: 0.3005 +2025-07-02 05:48:33,817 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:19:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4092, loss: 0.4092 +2025-07-02 05:48:49,379 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:18:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3304, loss: 0.3304 +2025-07-02 05:49:04,959 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:18:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3631, loss: 0.3631 +2025-07-02 05:49:20,559 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:18:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3497, loss: 0.3497 +2025-07-02 05:49:36,170 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:18:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3614, loss: 0.3614 +2025-07-02 05:49:51,747 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:17:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3819, loss: 0.3819 +2025-07-02 05:50:07,350 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:17:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3562, loss: 0.3562 +2025-07-02 05:50:22,959 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:17:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3256, loss: 0.3256 +2025-07-02 05:50:35,765 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 05:50:59,145 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:50:59,156 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9948 +2025-07-02 05:50:59,157 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9068, top5_acc: 0.9948 +2025-07-02 05:51:36,539 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:16:52, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 05:51:52,252 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:16:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9900, loss_cls: 0.3841, loss: 0.3841 +2025-07-02 05:52:07,789 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:16:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 05:52:23,339 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:16:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3095, loss: 0.3095 +2025-07-02 05:52:38,923 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:15:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3315, loss: 0.3315 +2025-07-02 05:52:54,431 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:15:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3276, loss: 0.3276 +2025-07-02 05:53:09,976 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:15:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.4021, loss: 0.4021 +2025-07-02 05:53:25,651 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:14:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3772, loss: 0.3772 +2025-07-02 05:53:41,290 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:14:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3558, loss: 0.3558 +2025-07-02 05:53:56,897 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:14:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3523, loss: 0.3523 +2025-07-02 05:54:12,533 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:14:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3499, loss: 0.3499 +2025-07-02 05:54:25,237 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 05:54:48,406 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:54:48,417 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9922 +2025-07-02 05:54:48,417 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9098, top5_acc: 0.9922 +2025-07-02 05:55:25,472 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:13:45, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3218, loss: 0.3218 +2025-07-02 05:55:40,976 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:13:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9988, loss_cls: 0.3231, loss: 0.3231 +2025-07-02 05:55:56,538 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:13:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3181, loss: 0.3181 +2025-07-02 05:56:12,100 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:12:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3184, loss: 0.3184 +2025-07-02 05:56:27,739 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:12:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2864, loss: 0.2864 +2025-07-02 05:56:43,361 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:12:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 05:56:59,019 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:12:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3353, loss: 0.3353 +2025-07-02 05:57:14,700 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:11:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3337, loss: 0.3337 +2025-07-02 05:57:30,353 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:11:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3573, loss: 0.3573 +2025-07-02 05:57:45,961 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:11:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 05:58:01,546 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:10:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3177, loss: 0.3177 +2025-07-02 05:58:14,266 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 05:58:37,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:58:37,372 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9941 +2025-07-02 05:58:37,373 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9157, top5_acc: 0.9941 +2025-07-02 05:59:14,691 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:10:37, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2889, loss: 0.2889 +2025-07-02 05:59:30,242 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:10:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3376, loss: 0.3376 +2025-07-02 05:59:45,716 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:10:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.2899, loss: 0.2899 +2025-07-02 06:00:01,244 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:09:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3209, loss: 0.3209 +2025-07-02 06:00:16,843 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:09:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3105, loss: 0.3105 +2025-07-02 06:00:32,601 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:09:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.3762, loss: 0.3762 +2025-07-02 06:00:48,194 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:08:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.3885, loss: 0.3885 +2025-07-02 06:01:03,934 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:08:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3670, loss: 0.3670 +2025-07-02 06:01:19,582 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:08:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3616, loss: 0.3616 +2025-07-02 06:01:35,180 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:08:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.3744, loss: 0.3744 +2025-07-02 06:01:50,873 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:07:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3454, loss: 0.3454 +2025-07-02 06:02:03,605 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 06:02:26,968 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:02:26,978 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9970 +2025-07-02 06:02:26,979 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9190, top5_acc: 0.9970 +2025-07-02 06:03:04,062 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:07:30, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2891, loss: 0.2891 +2025-07-02 06:03:19,661 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:07:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2517, loss: 0.2517 +2025-07-02 06:03:35,243 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:06:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3394, loss: 0.3394 +2025-07-02 06:03:50,875 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:06:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3240, loss: 0.3240 +2025-07-02 06:04:06,522 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:06:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3286, loss: 0.3286 +2025-07-02 06:04:22,162 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:06:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3641, loss: 0.3641 +2025-07-02 06:04:37,787 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:05:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3757, loss: 0.3757 +2025-07-02 06:04:53,433 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:05:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3415, loss: 0.3415 +2025-07-02 06:05:09,131 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:05:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3412, loss: 0.3412 +2025-07-02 06:05:24,845 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:04:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3209, loss: 0.3209 +2025-07-02 06:05:40,674 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:04:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3331, loss: 0.3331 +2025-07-02 06:05:53,438 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 06:06:16,511 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:06:16,522 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9937 +2025-07-02 06:06:16,522 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9190, top5_acc: 0.9937 +2025-07-02 06:06:53,663 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:04:22, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3375, loss: 0.3375 +2025-07-02 06:07:09,221 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:04:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3215, loss: 0.3215 +2025-07-02 06:07:24,838 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:03:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2945, loss: 0.2945 +2025-07-02 06:07:40,478 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:03:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3222, loss: 0.3222 +2025-07-02 06:07:56,040 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:03:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2832, loss: 0.2832 +2025-07-02 06:08:11,628 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:02:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3118, loss: 0.3118 +2025-07-02 06:08:27,219 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:02:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3190, loss: 0.3190 +2025-07-02 06:08:42,867 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:02:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3710, loss: 0.3710 +2025-07-02 06:08:58,450 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:02:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 06:09:13,934 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:01:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 06:09:29,547 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:01:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.3139, loss: 0.3139 +2025-07-02 06:09:42,257 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 06:10:05,308 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:10:05,319 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9952 +2025-07-02 06:10:05,319 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9172, top5_acc: 0.9952 +2025-07-02 06:10:42,549 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:01:14, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 06:10:58,180 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:00:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2535, loss: 0.2535 +2025-07-02 06:11:13,722 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:00:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.3054, loss: 0.3054 +2025-07-02 06:11:29,343 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:00:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.2924, loss: 0.2924 +2025-07-02 06:11:44,978 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:00:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.2838, loss: 0.2838 +2025-07-02 06:12:00,630 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 3:59:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 0.3065, loss: 0.3065 +2025-07-02 06:12:16,334 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 3:59:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3361, loss: 0.3361 +2025-07-02 06:12:32,026 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:59:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3464, loss: 0.3464 +2025-07-02 06:12:47,589 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:59:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4095, loss: 0.4095 +2025-07-02 06:13:03,095 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:58:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9919, loss_cls: 0.3709, loss: 0.3709 +2025-07-02 06:13:18,845 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:58:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2940, loss: 0.2940 +2025-07-02 06:13:31,721 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 06:13:54,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:13:54,982 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9952 +2025-07-02 06:13:54,982 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9186, top5_acc: 0.9952 +2025-07-02 06:14:32,357 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:58:07, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2826, loss: 0.2826 +2025-07-02 06:14:47,994 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:57:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3168, loss: 0.3168 +2025-07-02 06:15:03,546 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:57:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9931, loss_cls: 0.3261, loss: 0.3261 +2025-07-02 06:15:19,172 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:57:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.3276, loss: 0.3276 +2025-07-02 06:15:34,785 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:56:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3519, loss: 0.3519 +2025-07-02 06:15:50,347 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:56:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2848, loss: 0.2848 +2025-07-02 06:16:06,010 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:56:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.3271, loss: 0.3271 +2025-07-02 06:16:21,560 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:56:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3262, loss: 0.3262 +2025-07-02 06:16:37,066 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:55:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3220, loss: 0.3220 +2025-07-02 06:16:52,786 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:55:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3252, loss: 0.3252 +2025-07-02 06:17:08,460 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:55:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 0.3346, loss: 0.3346 +2025-07-02 06:17:21,301 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 06:17:44,563 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:17:44,573 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9945 +2025-07-02 06:17:44,574 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.8983, top5_acc: 0.9945 +2025-07-02 06:18:21,364 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:54:58, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2426, loss: 0.2426 +2025-07-02 06:18:37,088 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:54:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2539, loss: 0.2539 +2025-07-02 06:18:52,821 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:54:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9988, loss_cls: 0.2930, loss: 0.2930 +2025-07-02 06:19:08,525 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:54:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.3001, loss: 0.3001 +2025-07-02 06:19:24,221 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:53:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2890, loss: 0.2890 +2025-07-02 06:19:39,900 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:53:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2873, loss: 0.2873 +2025-07-02 06:19:55,756 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:53:18, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3395, loss: 0.3395 +2025-07-02 06:20:11,362 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:53:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2977, loss: 0.2977 +2025-07-02 06:20:26,942 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:52:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 06:20:42,491 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:52:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.3023, loss: 0.3023 +2025-07-02 06:20:58,074 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:52:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2632, loss: 0.2632 +2025-07-02 06:21:10,836 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 06:21:33,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:21:33,949 - pyskl - INFO - +top1_acc 0.9320 +top5_acc 0.9933 +2025-07-02 06:21:33,950 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9320, top5_acc: 0.9933 +2025-07-02 06:22:11,101 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:51:50, time: 0.371, data_time: 0.214, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 06:22:26,589 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:51:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2773, loss: 0.2773 +2025-07-02 06:22:42,094 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:51:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9925, loss_cls: 0.3117, loss: 0.3117 +2025-07-02 06:22:57,894 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:51:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3202, loss: 0.3202 +2025-07-02 06:23:13,504 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:50:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 06:23:29,058 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:50:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2758, loss: 0.2758 +2025-07-02 06:23:44,842 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:50:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3816, loss: 0.3816 +2025-07-02 06:24:00,461 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:49:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3613, loss: 0.3613 +2025-07-02 06:24:16,030 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:49:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3092, loss: 0.3092 +2025-07-02 06:24:31,552 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:49:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.3182, loss: 0.3182 +2025-07-02 06:24:47,080 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:49:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3443, loss: 0.3443 +2025-07-02 06:24:59,783 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 06:25:23,030 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:25:23,041 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9926 +2025-07-02 06:25:23,041 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9168, top5_acc: 0.9926 +2025-07-02 06:25:59,959 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:48:41, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2527, loss: 0.2527 +2025-07-02 06:26:15,573 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:48:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3168, loss: 0.3168 +2025-07-02 06:26:31,135 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:48:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9925, loss_cls: 0.3127, loss: 0.3127 +2025-07-02 06:26:47,052 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:47:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.3078, loss: 0.3078 +2025-07-02 06:27:02,789 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:47:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.3022, loss: 0.3022 +2025-07-02 06:27:18,460 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:47:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3163, loss: 0.3163 +2025-07-02 06:27:34,080 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:47:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3287, loss: 0.3287 +2025-07-02 06:27:49,637 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:46:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 06:28:05,216 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3113, loss: 0.3113 +2025-07-02 06:28:20,800 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3781, loss: 0.3781 +2025-07-02 06:28:36,506 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:45:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2503, loss: 0.2503 +2025-07-02 06:28:49,374 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 06:29:12,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:29:12,462 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9956 +2025-07-02 06:29:12,462 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9223, top5_acc: 0.9956 +2025-07-02 06:29:49,055 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:45:33, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 06:30:04,650 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:45:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 06:30:20,222 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:44:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2820, loss: 0.2820 +2025-07-02 06:30:36,063 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:44:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.2908, loss: 0.2908 +2025-07-02 06:30:51,712 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:44:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.3073, loss: 0.3073 +2025-07-02 06:31:07,444 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:44:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3041, loss: 0.3041 +2025-07-02 06:31:23,128 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:43:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3657, loss: 0.3657 +2025-07-02 06:31:38,796 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:43:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2570, loss: 0.2570 +2025-07-02 06:31:54,368 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:43:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.3068, loss: 0.3068 +2025-07-02 06:32:09,949 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:43:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.3336, loss: 0.3336 +2025-07-02 06:32:25,629 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:42:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.2805, loss: 0.2805 +2025-07-02 06:32:38,382 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 06:33:01,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:33:01,499 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9930 +2025-07-02 06:33:01,499 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9216, top5_acc: 0.9930 +2025-07-02 06:33:38,443 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:42:24, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2692, loss: 0.2692 +2025-07-02 06:33:53,911 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:42:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2509, loss: 0.2509 +2025-07-02 06:34:09,435 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:41:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2789, loss: 0.2789 +2025-07-02 06:34:24,994 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:41:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2895, loss: 0.2895 +2025-07-02 06:34:40,738 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:41:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 0.2625, loss: 0.2625 +2025-07-02 06:34:56,275 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:41:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3100, loss: 0.3100 +2025-07-02 06:35:11,775 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:40:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 06:35:27,305 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2720, loss: 0.2720 +2025-07-02 06:35:42,815 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2849, loss: 0.2849 +2025-07-02 06:35:58,353 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:39:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9994, loss_cls: 0.2517, loss: 0.2517 +2025-07-02 06:36:14,040 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:39:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2787, loss: 0.2787 +2025-07-02 06:36:26,767 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 06:36:50,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:36:50,133 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9941 +2025-07-02 06:36:50,133 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9153, top5_acc: 0.9941 +2025-07-02 06:37:26,844 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:14, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9931, loss_cls: 0.3168, loss: 0.3168 +2025-07-02 06:37:42,704 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:38:58, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2534, loss: 0.2534 +2025-07-02 06:37:58,285 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:38:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2774, loss: 0.2774 +2025-07-02 06:38:13,885 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:38:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 06:38:29,476 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:38:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2372, loss: 0.2372 +2025-07-02 06:38:45,096 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:37:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2675, loss: 0.2675 +2025-07-02 06:39:00,714 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:37:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3510, loss: 0.3510 +2025-07-02 06:39:16,285 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:37:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2909, loss: 0.2909 +2025-07-02 06:39:31,848 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:37:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2780, loss: 0.2780 +2025-07-02 06:39:47,404 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:36:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3106, loss: 0.3106 +2025-07-02 06:40:02,990 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 06:40:15,701 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 06:40:38,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:40:38,971 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9930 +2025-07-02 06:40:38,971 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9205, top5_acc: 0.9930 +2025-07-02 06:41:16,024 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:36:05, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2411, loss: 0.2411 +2025-07-02 06:41:31,935 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:35:49, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 06:41:47,661 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:35:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2781, loss: 0.2781 +2025-07-02 06:42:03,315 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2470, loss: 0.2470 +2025-07-02 06:42:18,914 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:34:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2500, loss: 0.2500 +2025-07-02 06:42:34,519 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:34:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9919, loss_cls: 0.3163, loss: 0.3163 +2025-07-02 06:42:50,103 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2811, loss: 0.2811 +2025-07-02 06:43:05,625 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3257, loss: 0.3257 +2025-07-02 06:43:21,051 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:33:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2959, loss: 0.2959 +2025-07-02 06:43:36,485 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:33:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3175, loss: 0.3175 +2025-07-02 06:43:52,048 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:33:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2894, loss: 0.2894 +2025-07-02 06:44:04,758 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 06:44:27,980 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:44:27,991 - pyskl - INFO - +top1_acc 0.9316 +top5_acc 0.9945 +2025-07-02 06:44:27,991 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9316, top5_acc: 0.9945 +2025-07-02 06:45:04,822 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:32:56, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2863, loss: 0.2863 +2025-07-02 06:45:20,358 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:32:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2479, loss: 0.2479 +2025-07-02 06:45:36,066 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:32:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2663, loss: 0.2663 +2025-07-02 06:45:51,855 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:32:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 0.2913, loss: 0.2913 +2025-07-02 06:46:07,516 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:31:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2761, loss: 0.2761 +2025-07-02 06:46:23,141 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:31:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 06:46:38,824 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2981, loss: 0.2981 +2025-07-02 06:46:54,426 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:31:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9938, loss_cls: 0.2992, loss: 0.2992 +2025-07-02 06:47:10,055 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:30:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2840, loss: 0.2840 +2025-07-02 06:47:25,708 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2661, loss: 0.2661 +2025-07-02 06:47:41,455 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2477, loss: 0.2477 +2025-07-02 06:47:54,226 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 06:48:17,175 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:48:17,185 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9959 +2025-07-02 06:48:17,185 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9279, top5_acc: 0.9959 +2025-07-02 06:48:54,055 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:29:47, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 06:49:09,613 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2364, loss: 0.2364 +2025-07-02 06:49:25,190 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2099, loss: 0.2099 +2025-07-02 06:49:40,879 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:28:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.2904, loss: 0.2904 +2025-07-02 06:49:56,583 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:28:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2465, loss: 0.2465 +2025-07-02 06:50:12,199 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2704, loss: 0.2704 +2025-07-02 06:50:28,030 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:28:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2610, loss: 0.2610 +2025-07-02 06:50:43,619 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:27:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2870, loss: 0.2870 +2025-07-02 06:50:59,146 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:27:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2846, loss: 0.2846 +2025-07-02 06:51:14,694 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2715, loss: 0.2715 +2025-07-02 06:51:30,303 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:27:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2384, loss: 0.2384 +2025-07-02 06:51:43,022 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 06:52:06,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:52:06,016 - pyskl - INFO - +top1_acc 0.9283 +top5_acc 0.9956 +2025-07-02 06:52:06,017 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9283, top5_acc: 0.9956 +2025-07-02 06:52:42,872 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:26:38, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2368, loss: 0.2368 +2025-07-02 06:52:58,449 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:26:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 06:53:14,054 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:26:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2435, loss: 0.2435 +2025-07-02 06:53:29,782 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:25:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2450, loss: 0.2450 +2025-07-02 06:53:45,438 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2702, loss: 0.2702 +2025-07-02 06:54:00,944 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 06:54:16,425 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:24:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3155, loss: 0.3155 +2025-07-02 06:54:31,914 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:24:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2288, loss: 0.2288 +2025-07-02 06:54:47,382 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2318, loss: 0.2318 +2025-07-02 06:55:02,848 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:24:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 06:55:18,456 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:23:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 06:55:31,202 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 06:55:54,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:55:54,222 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9900 +2025-07-02 06:55:54,223 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9157, top5_acc: 0.9900 +2025-07-02 06:56:30,936 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:28, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2362, loss: 0.2362 +2025-07-02 06:56:46,503 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2399, loss: 0.2399 +2025-07-02 06:57:02,104 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:22:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2494, loss: 0.2494 +2025-07-02 06:57:17,723 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:22:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2360, loss: 0.2360 +2025-07-02 06:57:33,377 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:22:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2382, loss: 0.2382 +2025-07-02 06:57:49,035 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:22:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2459, loss: 0.2459 +2025-07-02 06:58:04,591 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:21:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2695, loss: 0.2695 +2025-07-02 06:58:20,131 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 06:58:35,704 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2214, loss: 0.2214 +2025-07-02 06:58:51,294 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:20:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3092, loss: 0.3092 +2025-07-02 06:59:07,084 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:20:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2417, loss: 0.2417 +2025-07-02 06:59:19,985 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 06:59:42,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:59:43,002 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9889 +2025-07-02 06:59:43,002 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.8983, top5_acc: 0.9889 +2025-07-02 07:00:20,173 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:18, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9919, loss_cls: 0.2364, loss: 0.2364 +2025-07-02 07:00:36,048 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:20:02, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2247, loss: 0.2247 +2025-07-02 07:00:51,706 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:19:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2390, loss: 0.2390 +2025-07-02 07:01:07,479 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2343, loss: 0.2343 +2025-07-02 07:01:23,063 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2245, loss: 0.2245 +2025-07-02 07:01:38,918 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:18:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2190, loss: 0.2190 +2025-07-02 07:01:54,590 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:18:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2754, loss: 0.2754 +2025-07-02 07:02:10,321 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2540, loss: 0.2540 +2025-07-02 07:02:25,857 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:18:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2784, loss: 0.2784 +2025-07-02 07:02:41,440 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:17:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2559, loss: 0.2559 +2025-07-02 07:02:57,169 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2455, loss: 0.2455 +2025-07-02 07:03:09,890 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 07:03:33,013 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:03:33,023 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9852 +2025-07-02 07:03:33,023 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9146, top5_acc: 0.9852 +2025-07-02 07:04:10,275 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:10, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2293, loss: 0.2293 +2025-07-02 07:04:25,839 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:16:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2196, loss: 0.2196 +2025-07-02 07:04:41,404 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:16:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2551, loss: 0.2551 +2025-07-02 07:04:57,131 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2638, loss: 0.2638 +2025-07-02 07:05:12,803 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:16:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2210, loss: 0.2210 +2025-07-02 07:05:28,587 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:15:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2459, loss: 0.2459 +2025-07-02 07:05:44,270 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2426, loss: 0.2426 +2025-07-02 07:05:59,930 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2633, loss: 0.2633 +2025-07-02 07:06:15,595 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:14:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3110, loss: 0.3110 +2025-07-02 07:06:31,248 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:14:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.2960, loss: 0.2960 +2025-07-02 07:06:46,953 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2757, loss: 0.2757 +2025-07-02 07:06:59,767 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 07:07:22,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:07:22,949 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9937 +2025-07-02 07:07:22,949 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9201, top5_acc: 0.9937 +2025-07-02 07:08:00,156 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:14:01, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2482, loss: 0.2482 +2025-07-02 07:08:15,853 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:13:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2831, loss: 0.2831 +2025-07-02 07:08:31,497 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2408, loss: 0.2408 +2025-07-02 07:08:47,377 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:11, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2734, loss: 0.2734 +2025-07-02 07:09:03,049 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:12:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2383, loss: 0.2383 +2025-07-02 07:09:18,629 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:12:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2875, loss: 0.2875 +2025-07-02 07:09:34,174 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 0.2500, loss: 0.2500 +2025-07-02 07:09:49,652 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:12:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.2229, loss: 0.2229 +2025-07-02 07:10:05,120 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:11:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9950, loss_cls: 0.2191, loss: 0.2191 +2025-07-02 07:10:20,554 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2484, loss: 0.2484 +2025-07-02 07:10:36,155 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2408, loss: 0.2408 +2025-07-02 07:10:48,902 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 07:11:11,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:11:11,949 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9922 +2025-07-02 07:11:11,950 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9205, top5_acc: 0.9922 +2025-07-02 07:11:49,122 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:10:51, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2343, loss: 0.2343 +2025-07-02 07:12:04,615 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2171, loss: 0.2171 +2025-07-02 07:12:20,234 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2255, loss: 0.2255 +2025-07-02 07:12:35,896 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:10:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2111, loss: 0.2111 +2025-07-02 07:12:51,436 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:09:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2110, loss: 0.2110 +2025-07-02 07:13:06,969 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2586, loss: 0.2586 +2025-07-02 07:13:22,424 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9950, loss_cls: 0.2391, loss: 0.2391 +2025-07-02 07:13:38,014 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:08:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2637, loss: 0.2637 +2025-07-02 07:13:53,576 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:08:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2309, loss: 0.2309 +2025-07-02 07:14:09,095 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2628, loss: 0.2628 +2025-07-02 07:14:24,700 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:08:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 1.0000, loss_cls: 0.2274, loss: 0.2274 +2025-07-02 07:14:37,579 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 07:15:00,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:15:00,741 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9937 +2025-07-02 07:15:00,742 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9257, top5_acc: 0.9937 +2025-07-02 07:15:37,995 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:07:41, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2324, loss: 0.2324 +2025-07-02 07:15:53,543 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2832, loss: 0.2832 +2025-07-02 07:16:09,143 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:07:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2062, loss: 0.2062 +2025-07-02 07:16:24,794 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:06:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2281, loss: 0.2281 +2025-07-02 07:16:40,459 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2428, loss: 0.2428 +2025-07-02 07:16:56,128 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2351, loss: 0.2351 +2025-07-02 07:17:11,667 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:06:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2530, loss: 0.2530 +2025-07-02 07:17:27,177 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:05:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9925, loss_cls: 0.2815, loss: 0.2815 +2025-07-02 07:17:42,687 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9931, loss_cls: 0.2840, loss: 0.2840 +2025-07-02 07:17:58,281 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.1985, loss: 0.1985 +2025-07-02 07:18:13,992 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:04:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2065, loss: 0.2065 +2025-07-02 07:18:26,853 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 07:18:49,988 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:18:49,998 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9926 +2025-07-02 07:18:50,002 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_64.pth was removed +2025-07-02 07:18:50,113 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2025-07-02 07:18:50,114 - pyskl - INFO - Best top1_acc is 0.9386 at 92 epoch. +2025-07-02 07:18:50,114 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9386, top5_acc: 0.9926 +2025-07-02 07:19:27,387 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:31, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2169, loss: 0.2169 +2025-07-02 07:19:42,991 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 07:19:58,562 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:03:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2149, loss: 0.2149 +2025-07-02 07:20:14,134 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:03:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2263, loss: 0.2263 +2025-07-02 07:20:29,647 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1797, loss: 0.1797 +2025-07-02 07:20:45,543 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:03:08, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2117, loss: 0.2117 +2025-07-02 07:21:01,194 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:02:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3121, loss: 0.3121 +2025-07-02 07:21:16,860 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2158, loss: 0.2158 +2025-07-02 07:21:32,434 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2323, loss: 0.2323 +2025-07-02 07:21:47,953 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:02:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.2722, loss: 0.2722 +2025-07-02 07:22:03,518 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:01:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 07:22:16,288 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 07:22:39,342 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:22:39,352 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9974 +2025-07-02 07:22:39,353 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9271, top5_acc: 0.9974 +2025-07-02 07:23:16,280 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:21, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2369, loss: 0.2369 +2025-07-02 07:23:32,166 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:01:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.1974, loss: 0.1974 +2025-07-02 07:23:47,759 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:00:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2475, loss: 0.2475 +2025-07-02 07:24:03,382 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2475, loss: 0.2475 +2025-07-02 07:24:18,998 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 07:24:34,639 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 2:59:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1898, loss: 0.1898 +2025-07-02 07:24:50,142 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 2:59:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2129, loss: 0.2129 +2025-07-02 07:25:05,626 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2008, loss: 0.2008 +2025-07-02 07:25:21,094 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:59:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2060, loss: 0.2060 +2025-07-02 07:25:36,562 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:58:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2236, loss: 0.2236 +2025-07-02 07:25:52,218 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2201, loss: 0.2201 +2025-07-02 07:26:05,086 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 07:26:28,195 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:26:28,205 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9930 +2025-07-02 07:26:28,206 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9124, top5_acc: 0.9930 +2025-07-02 07:27:05,231 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:11, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1633, loss: 0.1633 +2025-07-02 07:27:20,780 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:57:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1743, loss: 0.1743 +2025-07-02 07:27:36,486 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:57:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2407, loss: 0.2407 +2025-07-02 07:27:52,558 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:21, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2302, loss: 0.2302 +2025-07-02 07:28:08,062 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:57:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2215, loss: 0.2215 +2025-07-02 07:28:23,789 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:56:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2448, loss: 0.2448 +2025-07-02 07:28:39,366 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2455, loss: 0.2455 +2025-07-02 07:28:54,958 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9938, loss_cls: 0.2412, loss: 0.2412 +2025-07-02 07:29:10,522 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:55:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2334, loss: 0.2334 +2025-07-02 07:29:26,038 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:55:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 07:29:41,579 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2505, loss: 0.2505 +2025-07-02 07:29:54,420 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 07:30:17,356 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:30:17,366 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9922 +2025-07-02 07:30:17,367 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9205, top5_acc: 0.9922 +2025-07-02 07:30:54,257 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:55:01, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 07:31:10,008 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:54:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2143, loss: 0.2143 +2025-07-02 07:31:25,747 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1990, loss: 0.1990 +2025-07-02 07:31:41,446 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1787, loss: 0.1787 +2025-07-02 07:31:57,186 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:53:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2078, loss: 0.2078 +2025-07-02 07:32:12,843 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:53:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1865, loss: 0.1865 +2025-07-02 07:32:28,412 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2101, loss: 0.2101 +2025-07-02 07:32:43,955 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:53:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 0.2257, loss: 0.2257 +2025-07-02 07:32:59,472 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:52:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2159, loss: 0.2159 +2025-07-02 07:33:14,985 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2085, loss: 0.2085 +2025-07-02 07:33:30,592 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 07:33:43,402 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 07:34:06,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:34:06,497 - pyskl - INFO - +top1_acc 0.9290 +top5_acc 0.9952 +2025-07-02 07:34:06,497 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9290, top5_acc: 0.9952 +2025-07-02 07:34:43,338 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:51:51, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1495, loss: 0.1495 +2025-07-02 07:34:58,886 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1698, loss: 0.1698 +2025-07-02 07:35:14,424 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1800, loss: 0.1800 +2025-07-02 07:35:30,255 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:51:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2119, loss: 0.2119 +2025-07-02 07:35:45,969 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:50:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1814, loss: 0.1814 +2025-07-02 07:36:01,614 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2053, loss: 0.2053 +2025-07-02 07:36:17,244 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1761, loss: 0.1761 +2025-07-02 07:36:32,976 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:49:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2512, loss: 0.2512 +2025-07-02 07:36:48,614 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2483, loss: 0.2483 +2025-07-02 07:37:04,181 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2545, loss: 0.2545 +2025-07-02 07:37:19,737 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:49:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2186, loss: 0.2186 +2025-07-02 07:37:32,406 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 07:37:55,378 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:37:55,388 - pyskl - INFO - +top1_acc 0.9490 +top5_acc 0.9948 +2025-07-02 07:37:55,392 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_92.pth was removed +2025-07-02 07:37:55,501 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-07-02 07:37:55,502 - pyskl - INFO - Best top1_acc is 0.9490 at 97 epoch. +2025-07-02 07:37:55,503 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9490, top5_acc: 0.9948 +2025-07-02 07:38:32,029 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:48:40, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1945, loss: 0.1945 +2025-07-02 07:38:47,636 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1788, loss: 0.1788 +2025-07-02 07:39:03,219 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:48:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1806, loss: 0.1806 +2025-07-02 07:39:19,058 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:47:51, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9944, loss_cls: 0.2196, loss: 0.2196 +2025-07-02 07:39:34,765 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2232, loss: 0.2232 +2025-07-02 07:39:50,431 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1863, loss: 0.1863 +2025-07-02 07:40:06,010 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:47:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 07:40:21,562 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:46:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1811, loss: 0.1811 +2025-07-02 07:40:37,133 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2107, loss: 0.2107 +2025-07-02 07:40:52,681 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2348, loss: 0.2348 +2025-07-02 07:41:08,285 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:45:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2202, loss: 0.2202 +2025-07-02 07:41:21,078 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 07:41:44,280 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:41:44,290 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9963 +2025-07-02 07:41:44,290 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9423, top5_acc: 0.9963 +2025-07-02 07:42:21,303 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:30, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1518, loss: 0.1518 +2025-07-02 07:42:36,830 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1739, loss: 0.1739 +2025-07-02 07:42:52,366 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:44:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9950, loss_cls: 0.2278, loss: 0.2278 +2025-07-02 07:43:08,070 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:44:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2325, loss: 0.2325 +2025-07-02 07:43:23,639 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1694, loss: 0.1694 +2025-07-02 07:43:39,251 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:44:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1832, loss: 0.1832 +2025-07-02 07:43:54,822 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:43:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 07:44:10,396 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 07:44:25,999 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1919, loss: 0.1919 +2025-07-02 07:44:41,563 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:43:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1979, loss: 0.1979 +2025-07-02 07:44:57,128 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:42:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1822, loss: 0.1822 +2025-07-02 07:45:09,885 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 07:45:33,242 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:45:33,253 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9967 +2025-07-02 07:45:33,253 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9364, top5_acc: 0.9967 +2025-07-02 07:46:10,057 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:19, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1269, loss: 0.1269 +2025-07-02 07:46:25,651 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:42:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1549, loss: 0.1549 +2025-07-02 07:46:41,224 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:41:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2071, loss: 0.2071 +2025-07-02 07:46:56,849 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.1943, loss: 0.1943 +2025-07-02 07:47:12,482 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1851, loss: 0.1851 +2025-07-02 07:47:28,038 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:40:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2095, loss: 0.2095 +2025-07-02 07:47:43,629 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2293, loss: 0.2293 +2025-07-02 07:47:59,155 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1670, loss: 0.1670 +2025-07-02 07:48:14,691 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:40:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1985, loss: 0.1985 +2025-07-02 07:48:30,193 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:39:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1527, loss: 0.1527 +2025-07-02 07:48:45,742 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1699, loss: 0.1699 +2025-07-02 07:48:58,484 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 07:49:21,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:49:21,519 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9952 +2025-07-02 07:49:21,520 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9442, top5_acc: 0.9952 +2025-07-02 07:49:58,596 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:09, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1560, loss: 0.1560 +2025-07-02 07:50:14,366 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:38:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1753, loss: 0.1753 +2025-07-02 07:50:29,937 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1780, loss: 0.1780 +2025-07-02 07:50:45,598 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1924, loss: 0.1924 +2025-07-02 07:51:01,352 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:38:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9944, loss_cls: 0.2039, loss: 0.2039 +2025-07-02 07:51:17,047 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:37:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1778, loss: 0.1778 +2025-07-02 07:51:32,641 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2026, loss: 0.2026 +2025-07-02 07:51:48,257 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1707, loss: 0.1707 +2025-07-02 07:52:03,766 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:36:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1971, loss: 0.1971 +2025-07-02 07:52:19,346 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 07:52:34,866 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1596, loss: 0.1596 +2025-07-02 07:52:47,481 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 07:53:10,484 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:53:10,494 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9948 +2025-07-02 07:53:10,494 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9334, top5_acc: 0.9948 +2025-07-02 07:53:47,325 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:35:58, time: 0.368, data_time: 0.211, memory: 3566, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 07:54:03,023 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1560, loss: 0.1560 +2025-07-02 07:54:18,545 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1911, loss: 0.1911 +2025-07-02 07:54:34,136 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2169, loss: 0.2169 +2025-07-02 07:54:49,791 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:34:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1656, loss: 0.1656 +2025-07-02 07:55:05,420 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1728, loss: 0.1728 +2025-07-02 07:55:21,056 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9938, loss_cls: 0.1687, loss: 0.1687 +2025-07-02 07:55:36,666 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:34:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.1927, loss: 0.1927 +2025-07-02 07:55:52,203 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:33:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1725, loss: 0.1725 +2025-07-02 07:56:07,783 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1959, loss: 0.1959 +2025-07-02 07:56:23,508 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 07:56:36,147 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 07:56:59,257 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:56:59,267 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9956 +2025-07-02 07:56:59,268 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9331, top5_acc: 0.9956 +2025-07-02 07:57:36,138 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:32:48, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 07:57:51,797 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1542, loss: 0.1542 +2025-07-02 07:58:07,312 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1559, loss: 0.1559 +2025-07-02 07:58:22,895 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:31:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1804, loss: 0.1804 +2025-07-02 07:58:38,594 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.1915, loss: 0.1915 +2025-07-02 07:58:54,183 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1758, loss: 0.1758 +2025-07-02 07:59:09,634 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1648, loss: 0.1648 +2025-07-02 07:59:25,095 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:30:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1585, loss: 0.1585 +2025-07-02 07:59:40,483 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 07:59:55,873 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 08:00:11,274 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:30:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1877, loss: 0.1877 +2025-07-02 08:00:23,962 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 08:00:47,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:00:47,165 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9974 +2025-07-02 08:00:47,166 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9371, top5_acc: 0.9974 +2025-07-02 08:01:24,053 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:37, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 08:01:39,646 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1484, loss: 0.1484 +2025-07-02 08:01:55,242 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1706, loss: 0.1706 +2025-07-02 08:02:10,982 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:28:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 08:02:26,673 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1498, loss: 0.1498 +2025-07-02 08:02:42,283 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1394, loss: 0.1394 +2025-07-02 08:02:57,792 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:27:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1543, loss: 0.1543 +2025-07-02 08:03:13,304 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9950, loss_cls: 0.1921, loss: 0.1921 +2025-07-02 08:03:28,831 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 08:03:44,358 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1481, loss: 0.1481 +2025-07-02 08:03:59,882 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:26:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1343, loss: 0.1343 +2025-07-02 08:04:12,648 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 08:04:35,832 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:04:35,842 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9948 +2025-07-02 08:04:35,842 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9312, top5_acc: 0.9948 +2025-07-02 08:05:13,082 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:26, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1382, loss: 0.1382 +2025-07-02 08:05:28,573 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 08:05:44,138 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:25:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1536, loss: 0.1536 +2025-07-02 08:05:59,683 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1584, loss: 0.1584 +2025-07-02 08:06:15,298 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1400, loss: 0.1400 +2025-07-02 08:06:30,847 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:25:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 08:06:46,399 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:24:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1873, loss: 0.1873 +2025-07-02 08:07:02,003 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 0.1719, loss: 0.1719 +2025-07-02 08:07:17,606 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1684, loss: 0.1684 +2025-07-02 08:07:33,170 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:23:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 08:07:48,738 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1549, loss: 0.1549 +2025-07-02 08:08:01,513 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 08:08:24,758 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:08:24,768 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9956 +2025-07-02 08:08:24,768 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9360, top5_acc: 0.9956 +2025-07-02 08:09:01,803 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:15, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1335, loss: 0.1335 +2025-07-02 08:09:17,408 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:22:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.1900, loss: 0.1900 +2025-07-02 08:09:33,087 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1505, loss: 0.1505 +2025-07-02 08:09:48,948 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:26, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1643, loss: 0.1643 +2025-07-02 08:10:04,539 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1398, loss: 0.1398 +2025-07-02 08:10:20,268 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:21:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1794, loss: 0.1794 +2025-07-02 08:10:35,942 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2073, loss: 0.2073 +2025-07-02 08:10:51,516 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1613, loss: 0.1613 +2025-07-02 08:11:07,059 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:21:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1808, loss: 0.1808 +2025-07-02 08:11:22,636 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:20:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1393, loss: 0.1393 +2025-07-02 08:11:38,239 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1438, loss: 0.1438 +2025-07-02 08:11:51,070 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 08:12:14,190 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:12:14,200 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9970 +2025-07-02 08:12:14,200 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9379, top5_acc: 0.9970 +2025-07-02 08:12:51,156 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:05, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1287, loss: 0.1287 +2025-07-02 08:13:06,733 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:19:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1051, loss: 0.1051 +2025-07-02 08:13:22,296 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1313, loss: 0.1313 +2025-07-02 08:13:37,871 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1521, loss: 0.1521 +2025-07-02 08:13:53,438 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:18:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1529, loss: 0.1529 +2025-07-02 08:14:09,083 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 08:14:24,658 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1548, loss: 0.1548 +2025-07-02 08:14:40,230 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1409, loss: 0.1409 +2025-07-02 08:14:55,814 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:17:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1692, loss: 0.1692 +2025-07-02 08:15:11,349 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1279, loss: 0.1279 +2025-07-02 08:15:26,877 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1725, loss: 0.1725 +2025-07-02 08:15:39,679 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 08:16:02,607 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:16:02,617 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9941 +2025-07-02 08:16:02,617 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9327, top5_acc: 0.9941 +2025-07-02 08:16:39,226 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:16:54, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1314, loss: 0.1314 +2025-07-02 08:16:54,741 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 08:17:10,299 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1441, loss: 0.1441 +2025-07-02 08:17:25,857 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 08:17:41,433 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:15:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1248, loss: 0.1248 +2025-07-02 08:17:57,085 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1551, loss: 0.1551 +2025-07-02 08:18:12,660 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1776, loss: 0.1776 +2025-07-02 08:18:28,164 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:14:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1806, loss: 0.1806 +2025-07-02 08:18:43,658 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 08:18:59,169 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1684, loss: 0.1684 +2025-07-02 08:19:14,673 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1030, loss: 0.1030 +2025-07-02 08:19:27,442 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 08:19:50,621 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:19:50,631 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9952 +2025-07-02 08:19:50,632 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9375, top5_acc: 0.9952 +2025-07-02 08:20:27,506 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:43, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1245, loss: 0.1245 +2025-07-02 08:20:43,138 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 08:20:58,876 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1594, loss: 0.1594 +2025-07-02 08:21:14,533 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:12:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 08:21:30,207 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1296, loss: 0.1296 +2025-07-02 08:21:45,951 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1250, loss: 0.1250 +2025-07-02 08:22:01,607 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1314, loss: 0.1314 +2025-07-02 08:22:17,172 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:11:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 08:22:32,729 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1379, loss: 0.1379 +2025-07-02 08:22:48,257 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1680, loss: 0.1680 +2025-07-02 08:23:03,821 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:10:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 08:23:16,645 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 08:23:39,867 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:23:39,877 - pyskl - INFO - +top1_acc 0.9401 +top5_acc 0.9956 +2025-07-02 08:23:39,877 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9401, top5_acc: 0.9956 +2025-07-02 08:24:16,866 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:32, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1232, loss: 0.1232 +2025-07-02 08:24:32,565 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 08:24:48,365 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:09:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1107, loss: 0.1107 +2025-07-02 08:25:03,962 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 08:25:19,637 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1183, loss: 0.1183 +2025-07-02 08:25:35,164 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 08:25:50,664 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:08:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1749, loss: 0.1749 +2025-07-02 08:26:06,182 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1416, loss: 0.1416 +2025-07-02 08:26:21,710 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1279, loss: 0.1279 +2025-07-02 08:26:37,230 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1361, loss: 0.1361 +2025-07-02 08:26:52,738 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:07:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1426, loss: 0.1426 +2025-07-02 08:27:05,400 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 08:27:28,595 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:27:28,605 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9959 +2025-07-02 08:27:28,606 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9209, top5_acc: 0.9959 +2025-07-02 08:28:05,684 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:21, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 08:28:21,354 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9969, loss_cls: 0.1121, loss: 0.1121 +2025-07-02 08:28:37,114 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:06:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 08:28:52,813 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 08:29:08,413 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1425, loss: 0.1425 +2025-07-02 08:29:24,018 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:05:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1428, loss: 0.1428 +2025-07-02 08:29:39,529 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1726, loss: 0.1726 +2025-07-02 08:29:55,075 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1145, loss: 0.1145 +2025-07-02 08:30:10,575 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0988, loss: 0.0988 +2025-07-02 08:30:26,108 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:04:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 08:30:41,636 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1434, loss: 0.1434 +2025-07-02 08:30:54,463 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 08:31:17,673 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:31:17,684 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9963 +2025-07-02 08:31:17,684 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9297, top5_acc: 0.9963 +2025-07-02 08:31:54,733 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:10, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0999, loss: 0.0999 +2025-07-02 08:32:10,242 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:03:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 08:32:25,824 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1111, loss: 0.1111 +2025-07-02 08:32:41,447 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 08:32:57,118 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1024, loss: 0.1024 +2025-07-02 08:33:12,735 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:02:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1059, loss: 0.1059 +2025-07-02 08:33:28,327 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1266, loss: 0.1266 +2025-07-02 08:33:43,911 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 08:33:59,504 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:01:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1192, loss: 0.1192 +2025-07-02 08:34:15,041 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1118, loss: 0.1118 +2025-07-02 08:34:30,576 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1104, loss: 0.1104 +2025-07-02 08:34:43,391 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 08:35:06,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:35:06,549 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9956 +2025-07-02 08:35:06,550 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9379, top5_acc: 0.9956 +2025-07-02 08:35:43,705 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:00:59, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1010, loss: 0.1010 +2025-07-02 08:35:59,354 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 08:36:15,021 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1171, loss: 0.1171 +2025-07-02 08:36:30,666 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 08:36:46,284 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 1:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 08:37:01,898 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1071, loss: 0.1071 +2025-07-02 08:37:17,466 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1206, loss: 0.1206 +2025-07-02 08:37:33,031 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1160, loss: 0.1160 +2025-07-02 08:37:48,556 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:58:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1164, loss: 0.1164 +2025-07-02 08:38:04,059 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 08:38:19,530 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 08:38:32,319 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 08:38:55,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:38:55,364 - pyskl - INFO - +top1_acc 0.9475 +top5_acc 0.9963 +2025-07-02 08:38:55,364 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9475, top5_acc: 0.9963 +2025-07-02 08:39:32,549 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:57:48, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0822, loss: 0.0822 +2025-07-02 08:39:48,254 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 08:40:03,983 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1014, loss: 0.1014 +2025-07-02 08:40:19,641 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:56:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1124, loss: 0.1124 +2025-07-02 08:40:35,408 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 08:40:51,022 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 08:41:06,518 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0895, loss: 0.0895 +2025-07-02 08:41:22,002 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:55:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1192, loss: 0.1192 +2025-07-02 08:41:37,475 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0967, loss: 0.0967 +2025-07-02 08:41:52,938 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1123, loss: 0.1123 +2025-07-02 08:42:08,410 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0816, loss: 0.0816 +2025-07-02 08:42:21,126 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 08:42:44,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:42:44,227 - pyskl - INFO - +top1_acc 0.9475 +top5_acc 0.9970 +2025-07-02 08:42:44,227 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9475, top5_acc: 0.9970 +2025-07-02 08:43:21,273 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:37, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0706, loss: 0.0706 +2025-07-02 08:43:36,890 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0831, loss: 0.0831 +2025-07-02 08:43:52,709 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 08:44:08,302 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:53:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1119, loss: 0.1119 +2025-07-02 08:44:23,873 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1015, loss: 0.1015 +2025-07-02 08:44:39,413 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0970, loss: 0.0970 +2025-07-02 08:44:54,941 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:52:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1103, loss: 0.1103 +2025-07-02 08:45:10,464 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1023, loss: 0.1023 +2025-07-02 08:45:25,960 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 08:45:41,438 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1133, loss: 0.1133 +2025-07-02 08:45:56,953 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:51:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1037, loss: 0.1037 +2025-07-02 08:46:09,633 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 08:46:32,990 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:46:33,001 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9956 +2025-07-02 08:46:33,001 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9423, top5_acc: 0.9956 +2025-07-02 08:47:10,463 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:26, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9962, loss_cls: 0.1049, loss: 0.1049 +2025-07-02 08:47:26,052 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0990, loss: 0.0990 +2025-07-02 08:47:41,649 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:50:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1159, loss: 0.1159 +2025-07-02 08:47:57,215 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1090, loss: 0.1090 +2025-07-02 08:48:12,837 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 08:48:28,356 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0927, loss: 0.0927 +2025-07-02 08:48:43,845 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1248, loss: 0.1248 +2025-07-02 08:48:59,341 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1190, loss: 0.1190 +2025-07-02 08:49:14,956 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.1092, loss: 0.1092 +2025-07-02 08:49:30,475 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:48:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0979, loss: 0.0979 +2025-07-02 08:49:46,007 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1247, loss: 0.1247 +2025-07-02 08:49:58,745 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 08:50:21,958 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:50:21,969 - pyskl - INFO - +top1_acc 0.9316 +top5_acc 0.9930 +2025-07-02 08:50:21,969 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9316, top5_acc: 0.9930 +2025-07-02 08:50:59,177 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:15, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1050, loss: 0.1050 +2025-07-02 08:51:14,707 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:47:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0850, loss: 0.0850 +2025-07-02 08:51:30,385 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0821, loss: 0.0821 +2025-07-02 08:51:46,058 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1052, loss: 0.1052 +2025-07-02 08:52:01,701 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 08:52:17,346 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:46:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 08:52:32,949 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1142, loss: 0.1142 +2025-07-02 08:52:48,444 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1095, loss: 0.1095 +2025-07-02 08:53:03,928 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0846, loss: 0.0846 +2025-07-02 08:53:19,410 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1169, loss: 0.1169 +2025-07-02 08:53:34,879 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1057, loss: 0.1057 +2025-07-02 08:53:47,602 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 08:54:10,883 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:54:10,893 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9959 +2025-07-02 08:54:10,893 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9442, top5_acc: 0.9959 +2025-07-02 08:54:47,839 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:04, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0849, loss: 0.0849 +2025-07-02 08:55:03,439 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0873, loss: 0.0873 +2025-07-02 08:55:19,187 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0833, loss: 0.0833 +2025-07-02 08:55:34,853 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 08:55:50,409 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:43:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0795, loss: 0.0795 +2025-07-02 08:56:05,953 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0951, loss: 0.0951 +2025-07-02 08:56:21,438 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 08:56:36,948 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1014, loss: 0.1014 +2025-07-02 08:56:52,459 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0905, loss: 0.0905 +2025-07-02 08:57:07,963 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0936, loss: 0.0936 +2025-07-02 08:57:23,438 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1023, loss: 0.1023 +2025-07-02 08:57:36,079 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 08:57:59,212 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:57:59,222 - pyskl - INFO - +top1_acc 0.9490 +top5_acc 0.9952 +2025-07-02 08:57:59,222 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9490, top5_acc: 0.9952 +2025-07-02 08:58:36,248 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:41:53, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0774, loss: 0.0774 +2025-07-02 08:58:51,833 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0494, loss: 0.0494 +2025-07-02 08:59:07,404 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 08:59:23,105 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 08:59:38,832 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1018, loss: 0.1018 +2025-07-02 08:59:54,349 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.0999, loss: 0.0999 +2025-07-02 09:00:09,857 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0787, loss: 0.0787 +2025-07-02 09:00:25,418 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:39:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 09:00:40,947 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0880, loss: 0.0880 +2025-07-02 09:00:56,512 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0756, loss: 0.0756 +2025-07-02 09:01:12,061 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 09:01:24,989 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 09:01:48,382 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:01:48,392 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9959 +2025-07-02 09:01:48,393 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9434, top5_acc: 0.9959 +2025-07-02 09:02:25,445 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:42, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0685, loss: 0.0685 +2025-07-02 09:02:40,979 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 09:02:56,914 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:09, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0954, loss: 0.0954 +2025-07-02 09:03:12,606 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:37:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0763, loss: 0.0763 +2025-07-02 09:03:28,368 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0780, loss: 0.0780 +2025-07-02 09:03:44,038 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0668, loss: 0.0668 +2025-07-02 09:03:59,601 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0933, loss: 0.0933 +2025-07-02 09:04:15,123 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0669, loss: 0.0669 +2025-07-02 09:04:30,578 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0814, loss: 0.0814 +2025-07-02 09:04:46,027 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0959, loss: 0.0959 +2025-07-02 09:05:01,469 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:35:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0580, loss: 0.0580 +2025-07-02 09:05:14,031 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 09:05:37,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:05:37,182 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9948 +2025-07-02 09:05:37,182 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9338, top5_acc: 0.9948 +2025-07-02 09:06:14,066 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:30, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0776, loss: 0.0776 +2025-07-02 09:06:29,686 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 09:06:45,334 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:34:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 09:07:00,939 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 09:07:16,690 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 09:07:32,219 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0717, loss: 0.0717 +2025-07-02 09:07:47,694 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:33:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0924, loss: 0.0924 +2025-07-02 09:08:03,225 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 09:08:18,694 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0845, loss: 0.0845 +2025-07-02 09:08:34,180 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 09:08:49,660 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 09:09:02,374 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 09:09:25,538 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:09:25,548 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9952 +2025-07-02 09:09:25,548 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9460, top5_acc: 0.9952 +2025-07-02 09:10:02,477 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:19, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9962, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 09:10:18,068 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0601, loss: 0.0601 +2025-07-02 09:10:33,685 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0652, loss: 0.0652 +2025-07-02 09:10:49,481 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.0867, loss: 0.0867 +2025-07-02 09:11:05,314 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 09:11:20,994 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:30:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 09:11:36,636 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0810, loss: 0.0810 +2025-07-02 09:11:52,224 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 09:12:07,849 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 09:12:23,421 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:29:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 09:12:38,972 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9962, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 09:12:51,672 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 09:13:14,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:13:14,817 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9967 +2025-07-02 09:13:14,818 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9460, top5_acc: 0.9967 +2025-07-02 09:13:51,940 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:08, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 09:14:07,545 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:28:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0793, loss: 0.0793 +2025-07-02 09:14:23,203 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0752, loss: 0.0752 +2025-07-02 09:14:38,770 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 09:14:54,242 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 09:15:09,672 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0849, loss: 0.0849 +2025-07-02 09:15:25,142 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 09:15:40,614 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 09:15:56,115 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:26:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0695, loss: 0.0695 +2025-07-02 09:16:11,619 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0746, loss: 0.0746 +2025-07-02 09:16:27,099 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0529, loss: 0.0529 +2025-07-02 09:16:39,777 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 09:17:02,871 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:17:02,881 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9967 +2025-07-02 09:17:02,881 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9467, top5_acc: 0.9967 +2025-07-02 09:17:39,572 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:25:56, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 09:17:55,179 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0501, loss: 0.0501 +2025-07-02 09:18:10,822 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0694, loss: 0.0694 +2025-07-02 09:18:26,557 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0798, loss: 0.0798 +2025-07-02 09:18:42,221 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:24:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0709, loss: 0.0709 +2025-07-02 09:18:57,754 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0710, loss: 0.0710 +2025-07-02 09:19:13,338 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0893, loss: 0.0893 +2025-07-02 09:19:28,904 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0669, loss: 0.0669 +2025-07-02 09:19:44,420 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 09:19:59,910 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0815, loss: 0.0815 +2025-07-02 09:20:15,415 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 09:20:28,199 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 09:20:51,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:20:51,149 - pyskl - INFO - +top1_acc 0.9342 +top5_acc 0.9893 +2025-07-02 09:20:51,150 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9342, top5_acc: 0.9893 +2025-07-02 09:21:27,908 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:45, time: 0.368, data_time: 0.207, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9969, loss_cls: 0.0956, loss: 0.0956 +2025-07-02 09:21:43,867 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:29, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 09:21:59,463 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0666, loss: 0.0666 +2025-07-02 09:22:15,201 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:21:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 09:22:30,764 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 09:22:46,311 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:23:01,856 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 09:23:17,360 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0918, loss: 0.0918 +2025-07-02 09:23:32,879 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 09:23:48,401 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0619, loss: 0.0619 +2025-07-02 09:24:03,897 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0723, loss: 0.0723 +2025-07-02 09:24:16,619 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 09:24:39,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:24:39,773 - pyskl - INFO - +top1_acc 0.9416 +top5_acc 0.9967 +2025-07-02 09:24:39,774 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9416, top5_acc: 0.9967 +2025-07-02 09:25:16,702 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:34, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 09:25:32,290 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 09:25:47,904 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0550, loss: 0.0550 +2025-07-02 09:26:03,637 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 09:26:19,257 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 09:26:34,834 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 09:26:50,356 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:17:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 09:27:05,842 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 09:27:21,328 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 09:27:36,811 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0811, loss: 0.0811 +2025-07-02 09:27:52,278 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 09:28:04,943 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 09:28:28,030 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:28:28,040 - pyskl - INFO - +top1_acc 0.9493 +top5_acc 0.9963 +2025-07-02 09:28:28,044 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_97.pth was removed +2025-07-02 09:28:28,158 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2025-07-02 09:28:28,158 - pyskl - INFO - Best top1_acc is 0.9493 at 126 epoch. +2025-07-02 09:28:28,159 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9493, top5_acc: 0.9963 +2025-07-02 09:29:05,283 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:22, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 09:29:20,822 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0681, loss: 0.0681 +2025-07-02 09:29:36,451 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 09:29:52,062 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 09:30:07,631 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 09:30:23,212 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 09:30:38,819 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0749, loss: 0.0749 +2025-07-02 09:30:54,426 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 09:31:09,975 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0872, loss: 0.0872 +2025-07-02 09:31:25,570 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:13:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0554, loss: 0.0554 +2025-07-02 09:31:41,153 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 09:31:53,866 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 09:32:17,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:32:17,048 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9959 +2025-07-02 09:32:17,051 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_126.pth was removed +2025-07-02 09:32:17,167 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 09:32:17,167 - pyskl - INFO - Best top1_acc is 0.9530 at 127 epoch. +2025-07-02 09:32:17,168 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9530, top5_acc: 0.9959 +2025-07-02 09:32:54,208 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:11, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 09:33:10,006 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:12:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0548, loss: 0.0548 +2025-07-02 09:33:25,575 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 09:33:41,246 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0554, loss: 0.0554 +2025-07-02 09:33:56,947 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 09:34:12,635 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 09:34:28,312 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 09:34:43,972 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 09:34:59,623 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 09:35:15,211 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0809, loss: 0.0809 +2025-07-02 09:35:30,750 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0520, loss: 0.0520 +2025-07-02 09:35:43,517 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 09:36:06,991 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:36:07,001 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9945 +2025-07-02 09:36:07,001 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9353, top5_acc: 0.9945 +2025-07-02 09:36:44,193 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:09:59, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 09:36:59,849 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 09:37:15,481 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 09:37:31,117 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 09:37:46,847 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:08:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 09:38:02,499 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 09:38:18,089 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 09:38:33,560 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 09:38:49,046 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 09:39:04,533 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 09:39:20,053 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 09:39:32,797 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 09:39:56,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:39:56,318 - pyskl - INFO - +top1_acc 0.9479 +top5_acc 0.9956 +2025-07-02 09:39:56,318 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9479, top5_acc: 0.9956 +2025-07-02 09:40:33,627 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:48, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 09:40:49,302 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 09:41:04,962 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 09:41:21,002 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:05:59, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0492, loss: 0.0492 +2025-07-02 09:41:36,549 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 09:41:52,045 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 09:42:07,524 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 09:42:23,033 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:04:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 09:42:38,554 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 09:42:54,030 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 09:43:09,474 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 09:43:22,161 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 09:43:45,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:43:45,774 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9959 +2025-07-02 09:43:45,774 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9467, top5_acc: 0.9959 +2025-07-02 09:44:23,290 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:37, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 09:44:38,870 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 09:44:54,446 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 09:45:10,063 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 09:45:25,569 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 09:45:41,069 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 09:45:56,558 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:01:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 09:46:12,078 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 09:46:27,567 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 09:46:43,095 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 09:46:58,616 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:00:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 09:47:11,245 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 09:47:34,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:47:34,228 - pyskl - INFO - +top1_acc 0.9497 +top5_acc 0.9956 +2025-07-02 09:47:34,228 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9497, top5_acc: 0.9956 +2025-07-02 09:48:11,366 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:25, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 09:48:27,059 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 09:48:42,662 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 09:48:58,390 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 09:49:13,975 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 09:49:29,613 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 09:49:45,204 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 09:50:00,778 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 09:50:16,325 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 09:50:31,918 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:57:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 09:50:47,495 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 09:51:00,232 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 09:51:23,341 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:51:23,352 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9967 +2025-07-02 09:51:23,352 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9482, top5_acc: 0.9967 +2025-07-02 09:52:00,289 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:14, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 09:52:16,204 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:56:57, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 09:52:31,790 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 09:52:47,359 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0539, loss: 0.0539 +2025-07-02 09:53:02,993 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 09:53:18,566 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 09:53:34,122 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 09:53:49,669 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 09:54:05,190 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 09:54:20,724 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 09:54:36,285 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 09:54:48,988 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 09:55:12,054 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:55:12,064 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9963 +2025-07-02 09:55:12,065 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9523, top5_acc: 0.9963 +2025-07-02 09:55:49,494 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:02, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 09:56:05,214 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 09:56:20,843 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 09:56:36,403 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 09:56:51,915 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:52:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 09:57:07,399 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 09:57:22,935 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0477, loss: 0.0477 +2025-07-02 09:57:38,526 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 09:57:54,101 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 09:58:09,608 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 09:58:25,106 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 09:58:37,819 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 09:59:01,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:59:01,115 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9956 +2025-07-02 09:59:01,115 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9519, top5_acc: 0.9956 +2025-07-02 09:59:38,111 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:51, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 09:59:53,820 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 10:00:09,415 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 10:00:25,098 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 10:00:40,681 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 10:00:56,233 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 10:01:11,803 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 10:01:27,255 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:48:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 10:01:42,667 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 10:01:58,168 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 10:02:13,746 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 10:02:26,468 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 10:02:49,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:02:49,593 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9967 +2025-07-02 10:02:49,593 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9501, top5_acc: 0.9967 +2025-07-02 10:03:26,683 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:39, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 10:03:42,324 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 10:03:57,946 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 10:04:13,675 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 10:04:29,132 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 10:04:44,551 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 10:05:00,038 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:05:15,537 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:05:31,026 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 10:05:46,523 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 10:06:01,992 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:44:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 10:06:14,699 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 10:06:37,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:06:37,891 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9967 +2025-07-02 10:06:37,892 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9530, top5_acc: 0.9967 +2025-07-02 10:07:14,922 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:27, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 10:07:30,649 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:07:46,376 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:43:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 10:08:02,028 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 10:08:17,611 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 10:08:33,218 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 10:08:48,818 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 10:09:04,358 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 10:09:19,877 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 10:09:35,463 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9975, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 10:09:51,096 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 10:10:03,878 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 10:10:27,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:10:27,351 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9974 +2025-07-02 10:10:27,354 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_127.pth was removed +2025-07-02 10:10:27,469 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2025-07-02 10:10:27,470 - pyskl - INFO - Best top1_acc is 0.9567 at 137 epoch. +2025-07-02 10:10:27,471 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9567, top5_acc: 0.9974 +2025-07-02 10:11:04,397 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:16, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 10:11:19,973 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:40:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:11:35,606 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 10:11:51,270 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 10:12:06,945 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0146, loss: 0.0146 +2025-07-02 10:12:22,543 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 10:12:38,207 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 10:12:53,732 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 10:13:09,249 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:13:24,789 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 10:13:40,307 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 10:13:53,014 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 10:14:15,969 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:14:15,979 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9970 +2025-07-02 10:14:15,980 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9541, top5_acc: 0.9970 +2025-07-02 10:14:53,590 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:04, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 10:15:09,237 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 10:15:24,825 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 10:15:40,398 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 10:15:55,950 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:36:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 10:16:11,503 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0174, loss: 0.0174 +2025-07-02 10:16:27,014 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 10:16:42,526 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 10:16:58,084 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 10:17:13,660 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 10:17:29,232 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 10:17:41,935 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 10:18:05,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:18:05,110 - pyskl - INFO - +top1_acc 0.9504 +top5_acc 0.9967 +2025-07-02 10:18:05,111 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9504, top5_acc: 0.9967 +2025-07-02 10:18:42,581 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:53, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 10:18:58,446 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 10:19:14,202 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 10:19:29,850 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 10:19:45,582 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 10:20:01,239 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 10:20:16,843 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 10:20:32,433 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:32:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 10:20:47,988 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:21:03,491 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 10:21:19,059 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 10:21:31,794 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 10:21:54,828 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:21:54,838 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9963 +2025-07-02 10:21:54,838 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9508, top5_acc: 0.9963 +2025-07-02 10:22:32,464 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:41, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0196, loss: 0.0196 +2025-07-02 10:22:48,085 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 10:23:03,727 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 10:23:19,248 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:23:34,870 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0186, loss: 0.0186 +2025-07-02 10:23:50,435 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9975, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 10:24:06,005 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 10:24:21,570 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 10:24:37,185 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 10:24:52,801 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 10:25:08,351 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:28:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 10:25:21,008 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 10:25:44,131 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:25:44,141 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9963 +2025-07-02 10:25:44,142 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9545, top5_acc: 0.9963 +2025-07-02 10:26:21,185 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:29, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 10:26:37,038 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:13, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0190, loss: 0.0190 +2025-07-02 10:26:52,726 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:27:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 10:27:08,563 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:27:24,207 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:27:39,757 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 10:27:55,299 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 10:28:10,850 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 10:28:26,366 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 10:28:41,887 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 10:28:57,416 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:29:10,054 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 10:29:33,369 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:29:33,380 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9963 +2025-07-02 10:29:33,380 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9545, top5_acc: 0.9963 +2025-07-02 10:30:10,413 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:18, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 10:30:25,987 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:30:41,622 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 10:30:57,510 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:29, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 10:31:13,265 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0167, loss: 0.0167 +2025-07-02 10:31:28,878 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:31:44,470 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 10:32:00,016 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 10:32:15,561 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 10:32:31,083 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 10:32:46,622 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 10:32:59,245 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 10:33:22,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:33:22,360 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9959 +2025-07-02 10:33:22,361 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9538, top5_acc: 0.9959 +2025-07-02 10:33:59,626 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:06, time: 0.373, data_time: 0.211, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:34:15,467 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:34:31,096 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 10:34:46,589 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:35:02,141 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 10:35:17,702 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 10:35:33,286 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 10:35:48,895 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 10:36:04,457 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0195, loss: 0.0195 +2025-07-02 10:36:20,006 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 10:36:35,577 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 10:36:48,218 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 10:37:11,276 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:37:11,285 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9963 +2025-07-02 10:37:11,286 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9545, top5_acc: 0.9963 +2025-07-02 10:37:48,378 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:54, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 10:38:03,912 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 10:38:19,623 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 10:38:35,333 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 10:38:51,127 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0186, loss: 0.0186 +2025-07-02 10:39:06,837 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 10:39:22,410 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 10:39:37,985 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 10:39:53,506 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 10:40:09,034 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:40:24,518 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0195, loss: 0.0195 +2025-07-02 10:40:37,175 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 10:41:00,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:41:00,128 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9967 +2025-07-02 10:41:00,129 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9553, top5_acc: 0.9967 +2025-07-02 10:41:37,360 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:42, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0146, loss: 0.0146 +2025-07-02 10:41:52,916 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 10:42:08,631 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 10:42:24,283 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 10:42:39,754 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0139, loss: 0.0139 +2025-07-02 10:42:55,287 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 10:43:10,769 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:43:26,359 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0189, loss: 0.0189 +2025-07-02 10:43:41,938 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 10:43:57,531 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 10:44:13,120 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:12:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 10:44:25,804 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 10:44:49,135 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:44:49,145 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9959 +2025-07-02 10:44:49,146 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9567, top5_acc: 0.9959 +2025-07-02 10:45:26,163 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:31, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0161, loss: 0.0161 +2025-07-02 10:45:41,782 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 10:45:57,483 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 10:46:13,224 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 10:46:28,893 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0175, loss: 0.0175 +2025-07-02 10:46:44,431 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 10:46:59,976 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 10:47:15,578 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 10:47:31,202 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 10:47:46,730 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 10:48:02,273 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0099, loss: 0.0099 +2025-07-02 10:48:14,988 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 10:48:38,199 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:48:38,210 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9967 +2025-07-02 10:48:38,210 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9538, top5_acc: 0.9967 +2025-07-02 10:49:15,702 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:19, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 10:49:31,254 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0114, loss: 0.0114 +2025-07-02 10:49:46,868 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 10:50:02,440 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 10:50:17,938 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 10:50:33,451 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0167, loss: 0.0167 +2025-07-02 10:50:48,992 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 10:51:04,569 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 10:51:20,206 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 10:51:35,821 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 10:51:51,411 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0172, loss: 0.0172 +2025-07-02 10:52:04,127 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 10:52:27,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:52:27,607 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9959 +2025-07-02 10:52:27,607 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9560, top5_acc: 0.9959 +2025-07-02 10:53:04,647 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:07, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0217, loss: 0.0217 +2025-07-02 10:53:20,266 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 10:53:36,022 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0185, loss: 0.0185 +2025-07-02 10:53:51,735 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 10:54:07,265 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0121, loss: 0.0121 +2025-07-02 10:54:22,985 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 10:54:38,522 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:54:54,035 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0170, loss: 0.0170 +2025-07-02 10:55:09,547 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 10:55:25,061 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:55:40,565 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0099, loss: 0.0099 +2025-07-02 10:55:53,301 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 10:56:16,517 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:56:16,527 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9959 +2025-07-02 10:56:16,528 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9560, top5_acc: 0.9959 +2025-07-02 10:56:53,931 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:55, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 10:57:09,558 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 10:57:25,317 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0171, loss: 0.0171 +2025-07-02 10:57:41,124 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 10:57:56,817 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 10:58:12,598 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 10:58:28,182 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 10:58:43,778 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 10:58:59,453 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 10:59:15,065 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 10:59:30,651 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 10:59:43,412 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 11:00:07,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:00:07,024 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9967 +2025-07-02 11:00:07,024 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9541, top5_acc: 0.9967 +2025-07-02 11:00:13,740 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 11:01:39,791 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 11:01:39,791 - pyskl - INFO - top1_acc: 0.9512 +2025-07-02 11:01:39,791 - pyskl - INFO - top5_acc: 0.9963 +2025-07-02 11:01:39,792 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/j_3/best_top1_acc_epoch_137.pth +2025-07-02 11:03:05,524 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 11:03:05,524 - pyskl - INFO - top1_acc: 0.9556 +2025-07-02 11:03:05,525 - pyskl - INFO - top5_acc: 0.9963 diff --git a/pku_mmd_xsub/j_3/20250702_013116.log.json b/pku_mmd_xsub/j_3/20250702_013116.log.json new file mode 100644 index 0000000000000000000000000000000000000000..fbebe3fbe403737a529a704d97052570804169ba --- /dev/null +++ b/pku_mmd_xsub/j_3/20250702_013116.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. 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"loss_cls": 0.03294, "loss": 0.03294, "time": 0.15675} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.0221, "loss": 0.0221, "time": 0.15612} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.99438, "top5_acc": 0.99938, "loss_cls": 0.02398, "loss": 0.02398, "time": 0.15585} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.95414, "top5_acc": 0.99667} diff --git a/pku_mmd_xsub/j_3/best_pred.pkl b/pku_mmd_xsub/j_3/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..236bbbf9510c1de43a035fb4569f35b1e27b7fc2 --- /dev/null +++ b/pku_mmd_xsub/j_3/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e019bd09ca7e5691d088b36a06a7eb766f94035f548aa7dd042e618d3f4b4f0 +size 954535 diff --git a/pku_mmd_xsub/j_3/best_top1_acc_epoch_137.pth b/pku_mmd_xsub/j_3/best_top1_acc_epoch_137.pth new file mode 100644 index 0000000000000000000000000000000000000000..55bc3d746a7e5bad7ccb280c57f8ebae49c45d88 --- /dev/null +++ b/pku_mmd_xsub/j_3/best_top1_acc_epoch_137.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc2139d5fa3f0dbd052d4e3f4554c0474c1d4b60ce76bdb44c60d763352c5188 +size 32917041 diff --git a/pku_mmd_xsub/j_3/j_3.py b/pku_mmd_xsub/j_3/j_3.py new file mode 100644 index 0000000000000000000000000000000000000000..8503d252b68559865504961f2efb8f896afbd116 --- /dev/null +++ b/pku_mmd_xsub/j_3/j_3.py @@ -0,0 +1,98 @@ +modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/j_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/jm/20250702_121040.log b/pku_mmd_xsub/jm/20250702_121040.log new file mode 100644 index 0000000000000000000000000000000000000000..6817f37bb88f3ff1879a95bf51da9e067e973112 --- /dev/null +++ b/pku_mmd_xsub/jm/20250702_121040.log @@ -0,0 +1,2832 @@ +2025-07-02 12:10:40,636 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 12:10:40,919 - pyskl - INFO - Config: modality = 'jm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/jm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 12:10:40,920 - pyskl - INFO - Set random seed to 661030522, deterministic: False +2025-07-02 12:10:44,606 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 12:10:51,395 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 12:10:51,400 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm +2025-07-02 12:10:51,400 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 12:10:51,400 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 12:10:51,400 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm by HardDiskBackend. +2025-07-02 12:11:29,632 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 18:45:10, time: 0.382, data_time: 0.224, memory: 3565, top1_acc: 0.0594, top5_acc: 0.2194, loss_cls: 4.2575, loss: 4.2575 +2025-07-02 12:11:44,718 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 13:04:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.0806, top5_acc: 0.2975, loss_cls: 4.1503, loss: 4.1503 +2025-07-02 12:11:59,904 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 11:11:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1050, top5_acc: 0.3556, loss_cls: 3.9490, loss: 3.9490 +2025-07-02 12:12:15,075 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 10:14:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1263, top5_acc: 0.3956, loss_cls: 3.8328, loss: 3.8328 +2025-07-02 12:12:30,253 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:40:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1625, top5_acc: 0.4781, loss_cls: 3.5993, loss: 3.5993 +2025-07-02 12:12:45,432 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:17:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.2037, top5_acc: 0.5694, loss_cls: 3.3232, loss: 3.3232 +2025-07-02 12:13:00,941 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 9:02:48, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.2338, top5_acc: 0.6300, loss_cls: 3.1425, loss: 3.1425 +2025-07-02 12:13:16,252 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:50:47, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.2637, top5_acc: 0.6412, loss_cls: 3.0592, loss: 3.0592 +2025-07-02 12:13:31,607 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:41:32, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.3169, top5_acc: 0.7025, loss_cls: 2.8242, loss: 2.8242 +2025-07-02 12:13:46,967 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:34:05, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.3194, top5_acc: 0.7181, loss_cls: 2.8138, loss: 2.8138 +2025-07-02 12:14:02,283 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:27:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.3450, top5_acc: 0.7569, loss_cls: 2.6441, loss: 2.6441 +2025-07-02 12:14:14,880 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 12:14:38,826 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:14:38,838 - pyskl - INFO - +top1_acc 0.4434 +top5_acc 0.8195 +2025-07-02 12:14:38,975 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 12:14:38,976 - pyskl - INFO - Best top1_acc is 0.4434 at 1 epoch. +2025-07-02 12:14:38,977 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.4434, top5_acc: 0.8195 +2025-07-02 12:15:16,228 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:41:52, time: 0.372, data_time: 0.218, memory: 3565, top1_acc: 0.4144, top5_acc: 0.8069, loss_cls: 2.4536, loss: 2.4536 +2025-07-02 12:15:31,535 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:36:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.4350, top5_acc: 0.8275, loss_cls: 2.3485, loss: 2.3485 +2025-07-02 12:15:46,754 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:31:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.4825, top5_acc: 0.8506, loss_cls: 2.1829, loss: 2.1829 +2025-07-02 12:16:01,888 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:26:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5138, top5_acc: 0.8569, loss_cls: 2.1046, loss: 2.1046 +2025-07-02 12:16:17,178 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:22:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.5056, top5_acc: 0.8694, loss_cls: 2.0711, loss: 2.0711 +2025-07-02 12:16:32,619 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:19:17, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.5162, top5_acc: 0.8738, loss_cls: 2.0196, loss: 2.0196 +2025-07-02 12:16:48,051 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:16:23, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.5413, top5_acc: 0.8800, loss_cls: 1.9331, loss: 1.9331 +2025-07-02 12:17:03,096 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:13:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5387, top5_acc: 0.8931, loss_cls: 1.9128, loss: 1.9128 +2025-07-02 12:17:18,274 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:10:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5731, top5_acc: 0.9025, loss_cls: 1.8474, loss: 1.8474 +2025-07-02 12:17:33,351 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 8:07:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5781, top5_acc: 0.9094, loss_cls: 1.8499, loss: 1.8499 +2025-07-02 12:17:48,458 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 8:05:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6144, top5_acc: 0.9131, loss_cls: 1.6905, loss: 1.6905 +2025-07-02 12:18:00,915 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 12:18:24,178 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:18:24,189 - pyskl - INFO - +top1_acc 0.2944 +top5_acc 0.7089 +2025-07-02 12:18:24,189 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.2944, top5_acc: 0.7089 +2025-07-02 12:19:01,896 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:14:18, time: 0.377, data_time: 0.224, memory: 3565, top1_acc: 0.6112, top5_acc: 0.9263, loss_cls: 1.6686, loss: 1.6686 +2025-07-02 12:19:16,970 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:11:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6281, top5_acc: 0.9319, loss_cls: 1.6117, loss: 1.6117 +2025-07-02 12:19:31,937 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:09:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6519, top5_acc: 0.9219, loss_cls: 1.6003, loss: 1.6003 +2025-07-02 12:19:46,916 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 8:07:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6312, top5_acc: 0.9206, loss_cls: 1.6558, loss: 1.6558 +2025-07-02 12:20:02,160 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 8:05:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6506, top5_acc: 0.9287, loss_cls: 1.5517, loss: 1.5517 +2025-07-02 12:20:17,291 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 8:03:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6844, top5_acc: 0.9281, loss_cls: 1.4601, loss: 1.4601 +2025-07-02 12:20:32,657 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 8:01:50, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.6637, top5_acc: 0.9425, loss_cls: 1.4857, loss: 1.4857 +2025-07-02 12:20:48,127 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 8:00:28, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.6631, top5_acc: 0.9250, loss_cls: 1.5145, loss: 1.5145 +2025-07-02 12:21:03,534 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:59:08, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.6837, top5_acc: 0.9369, loss_cls: 1.4774, loss: 1.4774 +2025-07-02 12:21:18,722 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:57:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7169, top5_acc: 0.9437, loss_cls: 1.3603, loss: 1.3603 +2025-07-02 12:21:33,907 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:56:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7019, top5_acc: 0.9444, loss_cls: 1.3743, loss: 1.3743 +2025-07-02 12:21:46,246 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 12:22:09,189 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:22:09,199 - pyskl - INFO - +top1_acc 0.6298 +top5_acc 0.9246 +2025-07-02 12:22:09,202 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_1.pth was removed +2025-07-02 12:22:09,321 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 12:22:09,322 - pyskl - INFO - Best top1_acc is 0.6298 at 3 epoch. +2025-07-02 12:22:09,323 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.6298, top5_acc: 0.9246 +2025-07-02 12:22:46,795 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 8:02:12, time: 0.375, data_time: 0.222, memory: 3565, top1_acc: 0.6994, top5_acc: 0.9475, loss_cls: 1.3780, loss: 1.3780 +2025-07-02 12:23:01,942 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 8:00:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6900, top5_acc: 0.9387, loss_cls: 1.4410, loss: 1.4410 +2025-07-02 12:23:17,084 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:59:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7119, top5_acc: 0.9463, loss_cls: 1.3331, loss: 1.3331 +2025-07-02 12:23:32,250 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:57:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6887, top5_acc: 0.9419, loss_cls: 1.4184, loss: 1.4184 +2025-07-02 12:23:47,374 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:56:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7113, top5_acc: 0.9444, loss_cls: 1.3148, loss: 1.3148 +2025-07-02 12:24:02,514 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:55:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7175, top5_acc: 0.9537, loss_cls: 1.2978, loss: 1.2978 +2025-07-02 12:24:18,035 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:54:22, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7106, top5_acc: 0.9444, loss_cls: 1.3086, loss: 1.3086 +2025-07-02 12:24:33,186 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:53:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7325, top5_acc: 0.9487, loss_cls: 1.2623, loss: 1.2623 +2025-07-02 12:24:48,345 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:52:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7394, top5_acc: 0.9537, loss_cls: 1.2338, loss: 1.2338 +2025-07-02 12:25:03,660 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:51:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7506, top5_acc: 0.9544, loss_cls: 1.2297, loss: 1.2297 +2025-07-02 12:25:18,877 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:50:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7312, top5_acc: 0.9500, loss_cls: 1.2581, loss: 1.2581 +2025-07-02 12:25:31,170 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 12:25:54,208 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:25:54,219 - pyskl - INFO - +top1_acc 0.7463 +top5_acc 0.9482 +2025-07-02 12:25:54,223 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_3.pth was removed +2025-07-02 12:25:54,348 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 12:25:54,348 - pyskl - INFO - Best top1_acc is 0.7463 at 4 epoch. +2025-07-02 12:25:54,349 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7463, top5_acc: 0.9482 +2025-07-02 12:26:31,354 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:54:14, time: 0.370, data_time: 0.219, memory: 3565, top1_acc: 0.7531, top5_acc: 0.9537, loss_cls: 1.2082, loss: 1.2082 +2025-07-02 12:26:46,210 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:52:58, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9587, loss_cls: 1.1642, loss: 1.1642 +2025-07-02 12:27:01,061 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:51:45, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7238, top5_acc: 0.9594, loss_cls: 1.2518, loss: 1.2518 +2025-07-02 12:27:15,870 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:50:32, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.7444, top5_acc: 0.9550, loss_cls: 1.2350, loss: 1.2350 +2025-07-02 12:27:31,072 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:49:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7744, top5_acc: 0.9637, loss_cls: 1.1274, loss: 1.1274 +2025-07-02 12:27:46,018 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:48:30, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7419, top5_acc: 0.9531, loss_cls: 1.2328, loss: 1.2328 +2025-07-02 12:28:01,050 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:47:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9569, loss_cls: 1.1363, loss: 1.1363 +2025-07-02 12:28:15,907 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:46:26, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7406, top5_acc: 0.9631, loss_cls: 1.1903, loss: 1.1903 +2025-07-02 12:28:30,834 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:45:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9631, loss_cls: 1.1432, loss: 1.1432 +2025-07-02 12:28:45,686 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:44:26, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7575, top5_acc: 0.9613, loss_cls: 1.1496, loss: 1.1496 +2025-07-02 12:29:00,871 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:43:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7794, top5_acc: 0.9613, loss_cls: 1.0767, loss: 1.0767 +2025-07-02 12:29:13,134 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 12:29:36,435 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:29:36,445 - pyskl - INFO - +top1_acc 0.6339 +top5_acc 0.8994 +2025-07-02 12:29:36,446 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.6339, top5_acc: 0.8994 +2025-07-02 12:30:13,478 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:46:58, time: 0.370, data_time: 0.221, memory: 3565, top1_acc: 0.7706, top5_acc: 0.9550, loss_cls: 1.1131, loss: 1.1131 +2025-07-02 12:30:28,417 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:46:00, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9688, loss_cls: 1.0141, loss: 1.0141 +2025-07-02 12:30:43,305 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:45:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7681, top5_acc: 0.9700, loss_cls: 1.0779, loss: 1.0779 +2025-07-02 12:30:58,286 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:44:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9625, loss_cls: 1.1181, loss: 1.1181 +2025-07-02 12:31:13,234 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:43:15, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7819, top5_acc: 0.9656, loss_cls: 1.0736, loss: 1.0736 +2025-07-02 12:31:28,239 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:42:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7581, top5_acc: 0.9525, loss_cls: 1.1366, loss: 1.1366 +2025-07-02 12:31:43,380 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:41:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9694, loss_cls: 1.0410, loss: 1.0410 +2025-07-02 12:31:58,335 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:40:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7781, top5_acc: 0.9688, loss_cls: 1.0672, loss: 1.0672 +2025-07-02 12:32:13,568 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:40:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7875, top5_acc: 0.9644, loss_cls: 1.0135, loss: 1.0135 +2025-07-02 12:32:28,683 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:39:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7887, top5_acc: 0.9550, loss_cls: 1.0601, loss: 1.0601 +2025-07-02 12:32:43,629 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:38:34, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9619, loss_cls: 1.0865, loss: 1.0865 +2025-07-02 12:32:56,022 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 12:33:19,036 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:33:19,046 - pyskl - INFO - +top1_acc 0.5129 +top5_acc 0.8369 +2025-07-02 12:33:19,047 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.5129, top5_acc: 0.8369 +2025-07-02 12:33:55,687 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:41:09, time: 0.366, data_time: 0.217, memory: 3565, top1_acc: 0.7800, top5_acc: 0.9719, loss_cls: 1.0323, loss: 1.0323 +2025-07-02 12:34:10,609 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:40:20, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8125, top5_acc: 0.9688, loss_cls: 0.9492, loss: 0.9492 +2025-07-02 12:34:25,519 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:39:32, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9663, loss_cls: 1.0433, loss: 1.0433 +2025-07-02 12:34:40,483 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:38:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9575, loss_cls: 1.1177, loss: 1.1177 +2025-07-02 12:34:55,462 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:38:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9613, loss_cls: 1.0959, loss: 1.0959 +2025-07-02 12:35:10,578 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:37:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7800, top5_acc: 0.9656, loss_cls: 1.0483, loss: 1.0483 +2025-07-02 12:35:25,478 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:36:34, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7869, top5_acc: 0.9625, loss_cls: 1.0252, loss: 1.0252 +2025-07-02 12:35:40,384 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:35:50, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9681, loss_cls: 0.9702, loss: 0.9702 +2025-07-02 12:35:55,276 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:35:06, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9694, loss_cls: 0.9829, loss: 0.9829 +2025-07-02 12:36:10,332 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:34:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9656, loss_cls: 0.9911, loss: 0.9911 +2025-07-02 12:36:25,445 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:33:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7969, top5_acc: 0.9669, loss_cls: 0.9686, loss: 0.9686 +2025-07-02 12:36:37,784 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 12:37:01,327 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:37:01,338 - pyskl - INFO - +top1_acc 0.8147 +top5_acc 0.9852 +2025-07-02 12:37:01,341 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_4.pth was removed +2025-07-02 12:37:01,457 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 12:37:01,458 - pyskl - INFO - Best top1_acc is 0.8147 at 7 epoch. +2025-07-02 12:37:01,459 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8147, top5_acc: 0.9852 +2025-07-02 12:37:37,970 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:35:56, time: 0.365, data_time: 0.215, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9775, loss_cls: 0.9364, loss: 0.9364 +2025-07-02 12:37:52,924 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:35:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9669, loss_cls: 0.9310, loss: 0.9310 +2025-07-02 12:38:07,907 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:34:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7894, top5_acc: 0.9669, loss_cls: 0.9993, loss: 0.9993 +2025-07-02 12:38:22,870 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:33:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9644, loss_cls: 0.9865, loss: 0.9865 +2025-07-02 12:38:38,030 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:33:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8019, top5_acc: 0.9750, loss_cls: 0.9651, loss: 0.9651 +2025-07-02 12:38:53,185 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:32:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9706, loss_cls: 0.9183, loss: 0.9183 +2025-07-02 12:39:08,283 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:32:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7781, top5_acc: 0.9631, loss_cls: 1.0316, loss: 1.0316 +2025-07-02 12:39:23,529 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:31:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9731, loss_cls: 0.9060, loss: 0.9060 +2025-07-02 12:39:38,681 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:30:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8150, top5_acc: 0.9750, loss_cls: 0.8781, loss: 0.8781 +2025-07-02 12:39:53,724 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:30:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9725, loss_cls: 0.9841, loss: 0.9841 +2025-07-02 12:40:08,718 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:29:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7944, top5_acc: 0.9669, loss_cls: 1.0251, loss: 1.0251 +2025-07-02 12:40:20,968 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 12:40:43,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:40:43,604 - pyskl - INFO - +top1_acc 0.7064 +top5_acc 0.9619 +2025-07-02 12:40:43,604 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.7064, top5_acc: 0.9619 +2025-07-02 12:41:20,129 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:31:32, time: 0.365, data_time: 0.216, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9738, loss_cls: 0.8777, loss: 0.8777 +2025-07-02 12:41:35,053 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:30:53, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9794, loss_cls: 0.9065, loss: 0.9065 +2025-07-02 12:41:50,066 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:30:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9738, loss_cls: 0.8517, loss: 0.8517 +2025-07-02 12:42:05,101 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:29:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 0.9144, loss: 0.9144 +2025-07-02 12:42:20,060 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:29:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9725, loss_cls: 0.9554, loss: 0.9554 +2025-07-02 12:42:35,066 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:28:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9769, loss_cls: 0.8885, loss: 0.8885 +2025-07-02 12:42:50,002 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:27:53, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8063, top5_acc: 0.9706, loss_cls: 0.9481, loss: 0.9481 +2025-07-02 12:43:05,046 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:27:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9700, loss_cls: 0.9203, loss: 0.9203 +2025-07-02 12:43:20,149 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:26:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7987, top5_acc: 0.9725, loss_cls: 0.9255, loss: 0.9255 +2025-07-02 12:43:35,367 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:26:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9631, loss_cls: 0.9221, loss: 0.9221 +2025-07-02 12:43:50,531 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:25:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9756, loss_cls: 0.8461, loss: 0.8461 +2025-07-02 12:44:02,785 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 12:44:25,417 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:44:25,427 - pyskl - INFO - +top1_acc 0.7936 +top5_acc 0.9660 +2025-07-02 12:44:25,427 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.7936, top5_acc: 0.9660 +2025-07-02 12:45:01,847 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:27:17, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8125, top5_acc: 0.9719, loss_cls: 0.8967, loss: 0.8967 +2025-07-02 12:45:16,817 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:26:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9738, loss_cls: 0.8298, loss: 0.8298 +2025-07-02 12:45:31,773 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:26:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9688, loss_cls: 0.9172, loss: 0.9172 +2025-07-02 12:45:47,063 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:25:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 0.9402, loss: 0.9402 +2025-07-02 12:46:02,169 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:25:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9762, loss_cls: 0.8417, loss: 0.8417 +2025-07-02 12:46:17,300 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:24:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9712, loss_cls: 0.8984, loss: 0.8984 +2025-07-02 12:46:32,464 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:24:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9731, loss_cls: 0.8407, loss: 0.8407 +2025-07-02 12:46:47,609 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:23:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9675, loss_cls: 0.9712, loss: 0.9712 +2025-07-02 12:47:02,445 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:23:02, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9694, loss_cls: 0.8833, loss: 0.8833 +2025-07-02 12:47:17,482 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:22:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8181, top5_acc: 0.9775, loss_cls: 0.8818, loss: 0.8818 +2025-07-02 12:47:32,518 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:22:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9744, loss_cls: 0.8579, loss: 0.8579 +2025-07-02 12:47:44,994 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 12:48:07,626 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:48:07,636 - pyskl - INFO - +top1_acc 0.7681 +top5_acc 0.9737 +2025-07-02 12:48:07,636 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.7681, top5_acc: 0.9737 +2025-07-02 12:48:43,937 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:23:18, time: 0.363, data_time: 0.213, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9825, loss_cls: 0.7961, loss: 0.7961 +2025-07-02 12:48:59,034 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:22:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 0.8312, loss: 0.8312 +2025-07-02 12:49:14,096 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:22:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9731, loss_cls: 0.9096, loss: 0.9096 +2025-07-02 12:49:29,183 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:21:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.8363, loss: 0.8363 +2025-07-02 12:49:44,127 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:21:15, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9719, loss_cls: 0.8540, loss: 0.8540 +2025-07-02 12:49:59,226 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:20:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9750, loss_cls: 0.8710, loss: 0.8710 +2025-07-02 12:50:14,462 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:20:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8069, top5_acc: 0.9744, loss_cls: 0.8966, loss: 0.8966 +2025-07-02 12:50:29,598 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:19:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9794, loss_cls: 0.8674, loss: 0.8674 +2025-07-02 12:50:44,641 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:19:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8150, top5_acc: 0.9750, loss_cls: 0.9061, loss: 0.9061 +2025-07-02 12:50:59,791 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:18:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8144, top5_acc: 0.9725, loss_cls: 0.8761, loss: 0.8761 +2025-07-02 12:51:14,822 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:18:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9725, loss_cls: 0.8619, loss: 0.8619 +2025-07-02 12:51:27,126 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 12:51:49,625 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:51:49,635 - pyskl - INFO - +top1_acc 0.5218 +top5_acc 0.8499 +2025-07-02 12:51:49,635 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.5218, top5_acc: 0.8499 +2025-07-02 12:52:25,718 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:19:29, time: 0.361, data_time: 0.212, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9819, loss_cls: 0.7864, loss: 0.7864 +2025-07-02 12:52:40,664 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:18:58, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9812, loss_cls: 0.7813, loss: 0.7813 +2025-07-02 12:52:55,564 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:18:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9731, loss_cls: 0.8767, loss: 0.8767 +2025-07-02 12:53:10,580 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:17:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9738, loss_cls: 0.7982, loss: 0.7982 +2025-07-02 12:53:25,681 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:17:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9794, loss_cls: 0.8098, loss: 0.8098 +2025-07-02 12:53:40,662 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:17:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9712, loss_cls: 0.8236, loss: 0.8236 +2025-07-02 12:53:55,814 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:16:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 0.8550, loss: 0.8550 +2025-07-02 12:54:10,859 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:16:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9831, loss_cls: 0.8209, loss: 0.8209 +2025-07-02 12:54:25,777 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:15:36, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9781, loss_cls: 0.8195, loss: 0.8195 +2025-07-02 12:54:40,876 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:15:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9706, loss_cls: 0.8986, loss: 0.8986 +2025-07-02 12:54:55,996 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:14:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9744, loss_cls: 0.8507, loss: 0.8507 +2025-07-02 12:55:08,226 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 12:55:30,686 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:55:30,697 - pyskl - INFO - +top1_acc 0.8402 +top5_acc 0.9811 +2025-07-02 12:55:30,701 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_7.pth was removed +2025-07-02 12:55:30,821 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-02 12:55:30,822 - pyskl - INFO - Best top1_acc is 0.8402 at 12 epoch. +2025-07-02 12:55:30,823 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8402, top5_acc: 0.9811 +2025-07-02 12:56:07,104 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:15:42, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9756, loss_cls: 0.7476, loss: 0.7476 +2025-07-02 12:56:22,131 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:15:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9800, loss_cls: 0.8100, loss: 0.8100 +2025-07-02 12:56:37,133 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:14:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9750, loss_cls: 0.7826, loss: 0.7826 +2025-07-02 12:56:52,358 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:14:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9712, loss_cls: 0.8399, loss: 0.8399 +2025-07-02 12:57:07,389 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:13:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9794, loss_cls: 0.8289, loss: 0.8289 +2025-07-02 12:57:22,337 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:13:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9806, loss_cls: 0.7625, loss: 0.7625 +2025-07-02 12:57:37,721 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:13:00, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8144, top5_acc: 0.9806, loss_cls: 0.8413, loss: 0.8413 +2025-07-02 12:57:52,956 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:12:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9738, loss_cls: 0.8368, loss: 0.8368 +2025-07-02 12:58:08,044 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:12:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 0.7929, loss: 0.7929 +2025-07-02 12:58:23,173 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:11:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 0.8423, loss: 0.8423 +2025-07-02 12:58:38,487 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:11:20, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 0.8060, loss: 0.8060 +2025-07-02 12:58:51,093 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 12:59:13,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:59:13,664 - pyskl - INFO - +top1_acc 0.8177 +top5_acc 0.9856 +2025-07-02 12:59:13,665 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8177, top5_acc: 0.9856 +2025-07-02 12:59:49,867 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:12:11, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8150, top5_acc: 0.9750, loss_cls: 0.8500, loss: 0.8500 +2025-07-02 13:00:04,741 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:11:43, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9750, loss_cls: 0.8117, loss: 0.8117 +2025-07-02 13:00:19,786 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:11:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9788, loss_cls: 0.7702, loss: 0.7702 +2025-07-02 13:00:34,823 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:10:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9744, loss_cls: 0.8104, loss: 0.8104 +2025-07-02 13:00:49,777 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:10:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9812, loss_cls: 0.7764, loss: 0.7764 +2025-07-02 13:01:04,596 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:09:54, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9744, loss_cls: 0.7964, loss: 0.7964 +2025-07-02 13:01:19,316 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:09:24, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9762, loss_cls: 0.8396, loss: 0.8396 +2025-07-02 13:01:34,521 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:09:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 0.7597, loss: 0.7597 +2025-07-02 13:01:49,628 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:08:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 0.7674, loss: 0.7674 +2025-07-02 13:02:04,710 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:08:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9706, loss_cls: 0.8766, loss: 0.8766 +2025-07-02 13:02:19,712 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:07:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9725, loss_cls: 0.7967, loss: 0.7967 +2025-07-02 13:02:31,948 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 13:02:54,663 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:02:54,674 - pyskl - INFO - +top1_acc 0.6753 +top5_acc 0.9072 +2025-07-02 13:02:54,674 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.6753, top5_acc: 0.9072 +2025-07-02 13:03:31,081 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:08:32, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 0.7723, loss: 0.7723 +2025-07-02 13:03:45,901 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:08:04, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9756, loss_cls: 0.7369, loss: 0.7369 +2025-07-02 13:04:00,790 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:07:36, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 0.7292, loss: 0.7292 +2025-07-02 13:04:15,844 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:07:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9738, loss_cls: 0.7801, loss: 0.7801 +2025-07-02 13:04:31,311 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:06:50, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9775, loss_cls: 0.8071, loss: 0.8071 +2025-07-02 13:04:46,530 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:06:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9825, loss_cls: 0.7464, loss: 0.7464 +2025-07-02 13:05:01,718 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:06:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9781, loss_cls: 0.7849, loss: 0.7849 +2025-07-02 13:05:16,913 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:05:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9825, loss_cls: 0.8101, loss: 0.8101 +2025-07-02 13:05:31,952 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:05:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9794, loss_cls: 0.8312, loss: 0.8312 +2025-07-02 13:05:47,182 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:04:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9731, loss_cls: 0.8673, loss: 0.8673 +2025-07-02 13:06:02,484 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:04:28, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 0.7817, loss: 0.7817 +2025-07-02 13:06:14,776 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 13:06:37,826 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:06:37,838 - pyskl - INFO - +top1_acc 0.8417 +top5_acc 0.9900 +2025-07-02 13:06:37,842 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_12.pth was removed +2025-07-02 13:06:37,962 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-02 13:06:37,963 - pyskl - INFO - Best top1_acc is 0.8417 at 15 epoch. +2025-07-02 13:06:37,964 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8417, top5_acc: 0.9900 +2025-07-02 13:07:14,681 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:05:13, time: 0.367, data_time: 0.217, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9781, loss_cls: 0.8030, loss: 0.8030 +2025-07-02 13:07:29,619 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:04:47, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9794, loss_cls: 0.7604, loss: 0.7604 +2025-07-02 13:07:44,616 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:04:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 0.7235, loss: 0.7235 +2025-07-02 13:07:59,712 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:03:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9762, loss_cls: 0.8520, loss: 0.8520 +2025-07-02 13:08:14,653 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:03:32, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9750, loss_cls: 0.8031, loss: 0.8031 +2025-07-02 13:08:29,665 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:03:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9669, loss_cls: 0.8104, loss: 0.8104 +2025-07-02 13:08:44,560 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:02:41, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9838, loss_cls: 0.7413, loss: 0.7413 +2025-07-02 13:08:59,410 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:02:15, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9738, loss_cls: 0.7810, loss: 0.7810 +2025-07-02 13:09:14,282 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:01:49, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9800, loss_cls: 0.7287, loss: 0.7287 +2025-07-02 13:09:29,186 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 7:01:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 0.8382, loss: 0.8382 +2025-07-02 13:09:43,969 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 7:00:58, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 0.7469, loss: 0.7469 +2025-07-02 13:09:56,255 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 13:10:19,513 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:10:19,523 - pyskl - INFO - +top1_acc 0.8447 +top5_acc 0.9863 +2025-07-02 13:10:19,527 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_15.pth was removed +2025-07-02 13:10:19,644 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-07-02 13:10:19,644 - pyskl - INFO - Best top1_acc is 0.8447 at 16 epoch. +2025-07-02 13:10:19,645 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8447, top5_acc: 0.9863 +2025-07-02 13:10:56,459 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:01:39, time: 0.368, data_time: 0.217, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9775, loss_cls: 0.7685, loss: 0.7685 +2025-07-02 13:11:11,570 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 7:01:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6653, loss: 0.6653 +2025-07-02 13:11:26,599 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 7:00:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 0.7367, loss: 0.7367 +2025-07-02 13:11:41,601 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 7:00:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 0.7445, loss: 0.7445 +2025-07-02 13:11:56,457 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 7:00:01, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 0.7225, loss: 0.7225 +2025-07-02 13:12:11,522 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:59:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 0.7848, loss: 0.7848 +2025-07-02 13:12:26,497 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:59:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 0.7042, loss: 0.7042 +2025-07-02 13:12:41,365 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:58:47, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9756, loss_cls: 0.7187, loss: 0.7187 +2025-07-02 13:12:56,310 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:58:23, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8244, top5_acc: 0.9775, loss_cls: 0.8238, loss: 0.8238 +2025-07-02 13:13:11,299 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:57:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9750, loss_cls: 0.7988, loss: 0.7988 +2025-07-02 13:13:26,366 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:57:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9725, loss_cls: 0.8219, loss: 0.8219 +2025-07-02 13:13:38,722 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 13:14:01,747 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:14:01,757 - pyskl - INFO - +top1_acc 0.6398 +top5_acc 0.9112 +2025-07-02 13:14:01,758 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.6398, top5_acc: 0.9112 +2025-07-02 13:14:38,392 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:58:11, time: 0.366, data_time: 0.216, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 0.7625, loss: 0.7625 +2025-07-02 13:14:53,182 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:57:46, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 0.7289, loss: 0.7289 +2025-07-02 13:15:08,076 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:57:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 0.7120, loss: 0.7120 +2025-07-02 13:15:23,242 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:56:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7566, loss: 0.7566 +2025-07-02 13:15:38,382 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:56:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 0.7658, loss: 0.7658 +2025-07-02 13:15:53,352 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:56:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 0.7220, loss: 0.7220 +2025-07-02 13:16:08,337 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:55:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9756, loss_cls: 0.7422, loss: 0.7422 +2025-07-02 13:16:23,412 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:55:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6710, loss: 0.6710 +2025-07-02 13:16:38,403 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:55:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9694, loss_cls: 0.7788, loss: 0.7788 +2025-07-02 13:16:53,333 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:54:38, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9812, loss_cls: 0.7235, loss: 0.7235 +2025-07-02 13:17:08,371 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:54:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 0.7764, loss: 0.7764 +2025-07-02 13:17:20,636 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 13:17:43,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:17:43,420 - pyskl - INFO - +top1_acc 0.7825 +top5_acc 0.9763 +2025-07-02 13:17:43,420 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.7825, top5_acc: 0.9763 +2025-07-02 13:18:19,844 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:54:45, time: 0.364, data_time: 0.216, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9781, loss_cls: 0.7309, loss: 0.7309 +2025-07-02 13:18:34,688 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:54:20, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 0.7171, loss: 0.7171 +2025-07-02 13:18:49,626 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:53:57, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9706, loss_cls: 0.7758, loss: 0.7758 +2025-07-02 13:19:04,584 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:53:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.7891, loss: 0.7891 +2025-07-02 13:19:19,648 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:53:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 0.7108, loss: 0.7108 +2025-07-02 13:19:34,754 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:52:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9856, loss_cls: 0.7042, loss: 0.7042 +2025-07-02 13:19:49,938 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:52:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9794, loss_cls: 0.7466, loss: 0.7466 +2025-07-02 13:20:05,172 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:52:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9769, loss_cls: 0.7334, loss: 0.7334 +2025-07-02 13:20:20,301 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:51:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9800, loss_cls: 0.7393, loss: 0.7393 +2025-07-02 13:20:35,282 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:51:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9831, loss_cls: 0.7526, loss: 0.7526 +2025-07-02 13:20:50,272 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:50:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 0.7242, loss: 0.7242 +2025-07-02 13:21:02,651 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 13:21:25,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:21:25,223 - pyskl - INFO - +top1_acc 0.8462 +top5_acc 0.9885 +2025-07-02 13:21:25,227 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_16.pth was removed +2025-07-02 13:21:25,346 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-02 13:21:25,347 - pyskl - INFO - Best top1_acc is 0.8462 at 19 epoch. +2025-07-02 13:21:25,348 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8462, top5_acc: 0.9885 +2025-07-02 13:22:01,573 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:51:23, time: 0.362, data_time: 0.213, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 0.7397, loss: 0.7397 +2025-07-02 13:22:16,404 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:50:58, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.6820, loss: 0.6820 +2025-07-02 13:22:31,246 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:50:35, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 0.7279, loss: 0.7279 +2025-07-02 13:22:46,138 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:50:11, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 0.7349, loss: 0.7349 +2025-07-02 13:23:01,034 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:49:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9719, loss_cls: 0.8004, loss: 0.8004 +2025-07-02 13:23:16,086 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:49:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9838, loss_cls: 0.7353, loss: 0.7353 +2025-07-02 13:23:31,086 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:49:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 0.6693, loss: 0.6693 +2025-07-02 13:23:46,117 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:48:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 0.7097, loss: 0.7097 +2025-07-02 13:24:01,134 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:48:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 0.7398, loss: 0.7398 +2025-07-02 13:24:16,119 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:47:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 0.7446, loss: 0.7446 +2025-07-02 13:24:31,251 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:47:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9731, loss_cls: 0.7665, loss: 0.7665 +2025-07-02 13:24:43,620 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 13:25:06,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:25:06,143 - pyskl - INFO - +top1_acc 0.8114 +top5_acc 0.9712 +2025-07-02 13:25:06,143 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8114, top5_acc: 0.9712 +2025-07-02 13:25:42,572 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:47:58, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9812, loss_cls: 0.7029, loss: 0.7029 +2025-07-02 13:25:57,600 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:47:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9869, loss_cls: 0.6428, loss: 0.6428 +2025-07-02 13:26:12,587 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:47:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.7059, loss: 0.7059 +2025-07-02 13:26:27,640 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:46:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9800, loss_cls: 0.7505, loss: 0.7505 +2025-07-02 13:26:42,700 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:46:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9738, loss_cls: 0.7824, loss: 0.7824 +2025-07-02 13:26:57,804 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:46:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9762, loss_cls: 0.7211, loss: 0.7211 +2025-07-02 13:27:12,911 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:45:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9725, loss_cls: 0.7822, loss: 0.7822 +2025-07-02 13:27:28,149 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:45:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 0.6934, loss: 0.6934 +2025-07-02 13:27:43,156 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:45:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9750, loss_cls: 0.7437, loss: 0.7437 +2025-07-02 13:27:58,185 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:44:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9756, loss_cls: 0.6989, loss: 0.6989 +2025-07-02 13:28:13,647 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:44:23, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 0.6689, loss: 0.6689 +2025-07-02 13:28:26,060 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 13:28:48,910 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:28:48,920 - pyskl - INFO - +top1_acc 0.8066 +top5_acc 0.9726 +2025-07-02 13:28:48,921 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8066, top5_acc: 0.9726 +2025-07-02 13:29:25,236 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:44:43, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 0.6953, loss: 0.6953 +2025-07-02 13:29:40,265 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:44:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 0.7137, loss: 0.7137 +2025-07-02 13:29:55,375 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:44:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 0.7065, loss: 0.7065 +2025-07-02 13:30:10,315 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:43:38, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 0.6555, loss: 0.6555 +2025-07-02 13:30:25,374 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:43:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.7263, loss: 0.7263 +2025-07-02 13:30:40,495 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:42:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9831, loss_cls: 0.7287, loss: 0.7287 +2025-07-02 13:30:55,582 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:42:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9781, loss_cls: 0.6960, loss: 0.6960 +2025-07-02 13:31:10,614 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:42:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9762, loss_cls: 0.7061, loss: 0.7061 +2025-07-02 13:31:25,602 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:41:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 0.6996, loss: 0.6996 +2025-07-02 13:31:40,584 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:41:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 0.7246, loss: 0.7246 +2025-07-02 13:31:55,720 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:41:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9794, loss_cls: 0.6683, loss: 0.6683 +2025-07-02 13:32:08,003 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 13:32:30,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:32:30,679 - pyskl - INFO - +top1_acc 0.8454 +top5_acc 0.9845 +2025-07-02 13:32:30,679 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8454, top5_acc: 0.9845 +2025-07-02 13:33:06,808 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:41:25, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 0.6646, loss: 0.6646 +2025-07-02 13:33:21,899 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:41:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9825, loss_cls: 0.7215, loss: 0.7215 +2025-07-02 13:33:36,970 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:40:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9869, loss_cls: 0.6794, loss: 0.6794 +2025-07-02 13:33:52,134 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:40:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9800, loss_cls: 0.7444, loss: 0.7444 +2025-07-02 13:34:07,066 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:40:00, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9881, loss_cls: 0.6976, loss: 0.6976 +2025-07-02 13:34:21,985 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:39:38, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 0.6701, loss: 0.6701 +2025-07-02 13:34:37,066 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:39:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9756, loss_cls: 0.7035, loss: 0.7035 +2025-07-02 13:34:52,126 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:38:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9850, loss_cls: 0.6343, loss: 0.6343 +2025-07-02 13:35:07,224 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:38:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9788, loss_cls: 0.6786, loss: 0.6786 +2025-07-02 13:35:22,354 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:38:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6533, loss: 0.6533 +2025-07-02 13:35:37,331 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:37:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 0.6965, loss: 0.6965 +2025-07-02 13:35:49,507 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 13:36:12,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:36:12,296 - pyskl - INFO - +top1_acc 0.8598 +top5_acc 0.9856 +2025-07-02 13:36:12,300 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_19.pth was removed +2025-07-02 13:36:12,419 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-02 13:36:12,420 - pyskl - INFO - Best top1_acc is 0.8598 at 23 epoch. +2025-07-02 13:36:12,421 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8598, top5_acc: 0.9856 +2025-07-02 13:36:48,531 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:38:07, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6539, loss: 0.6539 +2025-07-02 13:37:03,512 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:37:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9844, loss_cls: 0.6704, loss: 0.6704 +2025-07-02 13:37:18,498 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:37:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 0.6815, loss: 0.6815 +2025-07-02 13:37:33,551 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:37:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 0.6913, loss: 0.6913 +2025-07-02 13:37:48,602 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:36:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6992, loss: 0.6992 +2025-07-02 13:38:03,525 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:36:21, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 0.7438, loss: 0.7438 +2025-07-02 13:38:18,570 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:36:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 0.7175, loss: 0.7175 +2025-07-02 13:38:33,519 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:35:39, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 0.6234, loss: 0.6234 +2025-07-02 13:38:48,992 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:35:20, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9869, loss_cls: 0.6568, loss: 0.6568 +2025-07-02 13:39:04,301 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:35:01, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9769, loss_cls: 0.6810, loss: 0.6810 +2025-07-02 13:39:19,406 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:34:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9856, loss_cls: 0.6894, loss: 0.6894 +2025-07-02 13:39:31,682 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 13:39:54,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:39:54,309 - pyskl - INFO - +top1_acc 0.7892 +top5_acc 0.9808 +2025-07-02 13:39:54,309 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.7892, top5_acc: 0.9808 +2025-07-02 13:40:30,068 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:34:51, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 0.6869, loss: 0.6869 +2025-07-02 13:40:44,987 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:34:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6555, loss: 0.6555 +2025-07-02 13:40:59,890 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:34:08, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9862, loss_cls: 0.6634, loss: 0.6634 +2025-07-02 13:41:14,886 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:33:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6515, loss: 0.6515 +2025-07-02 13:41:29,858 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:33:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.6902, loss: 0.6902 +2025-07-02 13:41:44,898 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:33:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9862, loss_cls: 0.6642, loss: 0.6642 +2025-07-02 13:42:00,054 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:32:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9788, loss_cls: 0.6621, loss: 0.6621 +2025-07-02 13:42:15,203 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:32:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 0.6491, loss: 0.6491 +2025-07-02 13:42:30,312 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:32:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9869, loss_cls: 0.6572, loss: 0.6572 +2025-07-02 13:42:45,272 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:31:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9794, loss_cls: 0.6865, loss: 0.6865 +2025-07-02 13:43:00,317 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:31:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9769, loss_cls: 0.7061, loss: 0.7061 +2025-07-02 13:43:12,695 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 13:43:35,419 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:43:35,429 - pyskl - INFO - +top1_acc 0.5954 +top5_acc 0.9027 +2025-07-02 13:43:35,430 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.5954, top5_acc: 0.9027 +2025-07-02 13:44:11,842 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:31:35, time: 0.364, data_time: 0.215, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 0.6641, loss: 0.6641 +2025-07-02 13:44:26,740 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:31:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 0.6327, loss: 0.6327 +2025-07-02 13:44:41,666 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:30:53, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9794, loss_cls: 0.6491, loss: 0.6491 +2025-07-02 13:44:56,679 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:30:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9831, loss_cls: 0.7089, loss: 0.7089 +2025-07-02 13:45:11,612 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:30:11, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.6000, loss: 0.6000 +2025-07-02 13:45:26,522 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:29:50, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 0.6945, loss: 0.6945 +2025-07-02 13:45:41,587 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:29:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9800, loss_cls: 0.7186, loss: 0.7186 +2025-07-02 13:45:56,618 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:29:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 0.6526, loss: 0.6526 +2025-07-02 13:46:11,695 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:28:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 0.6642, loss: 0.6642 +2025-07-02 13:46:26,721 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:28:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.6245, loss: 0.6245 +2025-07-02 13:46:41,735 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:28:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9894, loss_cls: 0.6187, loss: 0.6187 +2025-07-02 13:46:54,006 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 13:47:17,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:47:17,106 - pyskl - INFO - +top1_acc 0.8609 +top5_acc 0.9811 +2025-07-02 13:47:17,110 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_23.pth was removed +2025-07-02 13:47:17,223 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. +2025-07-02 13:47:17,224 - pyskl - INFO - Best top1_acc is 0.8609 at 26 epoch. +2025-07-02 13:47:17,225 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8609, top5_acc: 0.9811 +2025-07-02 13:47:53,275 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:28:17, time: 0.360, data_time: 0.211, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.6689, loss: 0.6689 +2025-07-02 13:48:08,268 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:27:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9825, loss_cls: 0.6095, loss: 0.6095 +2025-07-02 13:48:23,310 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:27:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9856, loss_cls: 0.6588, loss: 0.6588 +2025-07-02 13:48:38,325 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:27:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9800, loss_cls: 0.6783, loss: 0.6783 +2025-07-02 13:48:53,241 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:26:55, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.6676, loss: 0.6676 +2025-07-02 13:49:08,249 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:26:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 0.6618, loss: 0.6618 +2025-07-02 13:49:23,175 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:26:14, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 0.7008, loss: 0.7008 +2025-07-02 13:49:38,495 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:25:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9819, loss_cls: 0.7021, loss: 0.7021 +2025-07-02 13:49:53,640 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:25:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 0.6777, loss: 0.6777 +2025-07-02 13:50:08,717 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:25:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 0.6291, loss: 0.6291 +2025-07-02 13:50:23,555 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:24:55, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 0.6753, loss: 0.6753 +2025-07-02 13:50:35,799 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 13:50:58,468 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:50:58,479 - pyskl - INFO - +top1_acc 0.8269 +top5_acc 0.9845 +2025-07-02 13:50:58,479 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8269, top5_acc: 0.9845 +2025-07-02 13:51:34,722 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:25:02, time: 0.362, data_time: 0.212, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.5947, loss: 0.5947 +2025-07-02 13:51:49,678 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:24:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6649, loss: 0.6649 +2025-07-02 13:52:04,655 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:24:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.6593, loss: 0.6593 +2025-07-02 13:52:19,680 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:24:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 0.6836, loss: 0.6836 +2025-07-02 13:52:34,703 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:23:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.5915, loss: 0.5915 +2025-07-02 13:52:49,602 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:23:20, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.6750, loss: 0.6750 +2025-07-02 13:53:04,335 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:22:59, time: 0.147, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9800, loss_cls: 0.6698, loss: 0.6698 +2025-07-02 13:53:19,154 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:22:38, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 0.6918, loss: 0.6918 +2025-07-02 13:53:34,134 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:22:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9762, loss_cls: 0.6730, loss: 0.6730 +2025-07-02 13:53:49,152 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:21:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9806, loss_cls: 0.6722, loss: 0.6722 +2025-07-02 13:54:04,168 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:21:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 0.6580, loss: 0.6580 +2025-07-02 13:54:16,514 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 13:54:39,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:54:39,061 - pyskl - INFO - +top1_acc 0.8225 +top5_acc 0.9804 +2025-07-02 13:54:39,061 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8225, top5_acc: 0.9804 +2025-07-02 13:55:14,965 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:21:43, time: 0.359, data_time: 0.210, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9875, loss_cls: 0.6523, loss: 0.6523 +2025-07-02 13:55:29,844 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:21:22, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6222, loss: 0.6222 +2025-07-02 13:55:44,664 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:21:01, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 0.5829, loss: 0.5829 +2025-07-02 13:55:59,485 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:20:41, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9844, loss_cls: 0.6565, loss: 0.6565 +2025-07-02 13:56:14,462 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:20:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 0.6903, loss: 0.6903 +2025-07-02 13:56:29,400 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:20:00, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9794, loss_cls: 0.6201, loss: 0.6201 +2025-07-02 13:56:44,333 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:19:40, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.5934, loss: 0.5934 +2025-07-02 13:56:59,428 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:19:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9794, loss_cls: 0.6456, loss: 0.6456 +2025-07-02 13:57:14,648 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:19:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6332, loss: 0.6332 +2025-07-02 13:57:29,685 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:18:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.6063, loss: 0.6063 +2025-07-02 13:57:44,619 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:18:22, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6504, loss: 0.6504 +2025-07-02 13:57:56,803 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 13:58:19,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:58:19,372 - pyskl - INFO - +top1_acc 0.6413 +top5_acc 0.8717 +2025-07-02 13:58:19,372 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.6413, top5_acc: 0.8717 +2025-07-02 13:58:55,967 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:18:28, time: 0.366, data_time: 0.210, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6276, loss: 0.6276 +2025-07-02 13:59:11,538 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:18:11, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6061, loss: 0.6061 +2025-07-02 13:59:27,066 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:17:53, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9894, loss_cls: 0.5833, loss: 0.5833 +2025-07-02 13:59:42,631 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:17:35, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9819, loss_cls: 0.6467, loss: 0.6467 +2025-07-02 13:59:58,242 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:17:18, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6192, loss: 0.6192 +2025-07-02 14:00:13,841 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:17:01, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 0.6588, loss: 0.6588 +2025-07-02 14:00:29,414 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:16:43, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9856, loss_cls: 0.6735, loss: 0.6735 +2025-07-02 14:00:45,016 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:16:26, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 0.5900, loss: 0.5900 +2025-07-02 14:01:00,582 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:16:09, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9794, loss_cls: 0.6794, loss: 0.6794 +2025-07-02 14:01:16,174 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:15:51, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6370, loss: 0.6370 +2025-07-02 14:01:31,803 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:15:34, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 14:01:44,511 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 14:02:06,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:02:07,002 - pyskl - INFO - +top1_acc 0.7123 +top5_acc 0.9549 +2025-07-02 14:02:07,003 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.7123, top5_acc: 0.9549 +2025-07-02 14:02:43,683 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:15:39, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9806, loss_cls: 0.6859, loss: 0.6859 +2025-07-02 14:02:59,044 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:15:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 0.6875, loss: 0.6875 +2025-07-02 14:03:14,449 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:15:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 0.6983, loss: 0.6983 +2025-07-02 14:03:29,865 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:14:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 0.7316, loss: 0.7316 +2025-07-02 14:03:45,351 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:14:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6704, loss: 0.6704 +2025-07-02 14:04:00,845 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:14:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9819, loss_cls: 0.6677, loss: 0.6677 +2025-07-02 14:04:16,287 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:13:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 0.6464, loss: 0.6464 +2025-07-02 14:04:31,768 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:13:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.6318, loss: 0.6318 +2025-07-02 14:04:47,284 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:13:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8656, top5_acc: 0.9781, loss_cls: 0.6915, loss: 0.6915 +2025-07-02 14:05:02,739 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:12:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8531, top5_acc: 0.9825, loss_cls: 0.7514, loss: 0.7514 +2025-07-02 14:05:18,162 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:12:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6833, loss: 0.6833 +2025-07-02 14:05:30,919 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 14:05:53,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:05:53,617 - pyskl - INFO - +top1_acc 0.8162 +top5_acc 0.9749 +2025-07-02 14:05:53,617 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8162, top5_acc: 0.9749 +2025-07-02 14:06:30,332 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:12:43, time: 0.367, data_time: 0.210, memory: 3566, top1_acc: 0.8638, top5_acc: 0.9856, loss_cls: 0.7010, loss: 0.7010 +2025-07-02 14:06:45,780 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:12:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6462, loss: 0.6462 +2025-07-02 14:07:01,243 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:12:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 0.6951, loss: 0.6951 +2025-07-02 14:07:16,715 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:11:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 14:07:32,141 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:11:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.6183, loss: 0.6183 +2025-07-02 14:07:47,662 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:11:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9831, loss_cls: 0.6146, loss: 0.6146 +2025-07-02 14:08:03,027 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:10:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 0.6695, loss: 0.6695 +2025-07-02 14:08:18,464 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:10:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8669, top5_acc: 0.9800, loss_cls: 0.7290, loss: 0.7290 +2025-07-02 14:08:33,941 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:10:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8562, top5_acc: 0.9819, loss_cls: 0.7427, loss: 0.7427 +2025-07-02 14:08:49,457 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:10:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8662, top5_acc: 0.9794, loss_cls: 0.7060, loss: 0.7060 +2025-07-02 14:09:04,930 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:09:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8544, top5_acc: 0.9756, loss_cls: 0.7343, loss: 0.7343 +2025-07-02 14:09:17,497 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 14:09:39,955 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:09:39,966 - pyskl - INFO - +top1_acc 0.7774 +top5_acc 0.9538 +2025-07-02 14:09:39,967 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.7774, top5_acc: 0.9538 +2025-07-02 14:10:17,010 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:09:48, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6915, loss: 0.6915 +2025-07-02 14:10:32,443 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:09:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5668, loss: 0.5668 +2025-07-02 14:10:47,831 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:09:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 0.6626, loss: 0.6626 +2025-07-02 14:11:03,274 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:08:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 0.6553, loss: 0.6553 +2025-07-02 14:11:18,774 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:08:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6368, loss: 0.6368 +2025-07-02 14:11:34,226 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:08:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.5994, loss: 0.5994 +2025-07-02 14:11:49,709 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:08:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 0.7089, loss: 0.7089 +2025-07-02 14:12:05,103 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:07:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8662, top5_acc: 0.9775, loss_cls: 0.7091, loss: 0.7091 +2025-07-02 14:12:20,565 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:07:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8556, top5_acc: 0.9850, loss_cls: 0.7505, loss: 0.7505 +2025-07-02 14:12:36,018 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:07:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8569, top5_acc: 0.9800, loss_cls: 0.7251, loss: 0.7251 +2025-07-02 14:12:51,446 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:06:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6939, loss: 0.6939 +2025-07-02 14:13:04,097 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 14:13:26,840 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:13:26,850 - pyskl - INFO - +top1_acc 0.8861 +top5_acc 0.9919 +2025-07-02 14:13:26,854 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_26.pth was removed +2025-07-02 14:13:26,970 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. +2025-07-02 14:13:26,971 - pyskl - INFO - Best top1_acc is 0.8861 at 33 epoch. +2025-07-02 14:13:26,971 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8861, top5_acc: 0.9919 +2025-07-02 14:14:04,108 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:06:52, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.6246, loss: 0.6246 +2025-07-02 14:14:19,580 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:06:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 0.6457, loss: 0.6457 +2025-07-02 14:14:34,978 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:06:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.6293, loss: 0.6293 +2025-07-02 14:14:50,362 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:05:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 0.6723, loss: 0.6723 +2025-07-02 14:15:05,730 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:05:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.5610, loss: 0.5610 +2025-07-02 14:15:21,179 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:05:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8556, top5_acc: 0.9756, loss_cls: 0.7374, loss: 0.7374 +2025-07-02 14:15:36,635 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:05:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9794, loss_cls: 0.6597, loss: 0.6597 +2025-07-02 14:15:52,050 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:04:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 0.6195, loss: 0.6195 +2025-07-02 14:16:07,520 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:04:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 0.6082, loss: 0.6082 +2025-07-02 14:16:23,050 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:04:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9825, loss_cls: 0.6429, loss: 0.6429 +2025-07-02 14:16:38,541 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:03:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8700, top5_acc: 0.9775, loss_cls: 0.7058, loss: 0.7058 +2025-07-02 14:16:51,125 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 14:17:13,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:17:13,454 - pyskl - INFO - +top1_acc 0.8373 +top5_acc 0.9871 +2025-07-02 14:17:13,454 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8373, top5_acc: 0.9871 +2025-07-02 14:17:50,339 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:03:54, time: 0.369, data_time: 0.212, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6391, loss: 0.6391 +2025-07-02 14:18:05,760 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:03:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9881, loss_cls: 0.6372, loss: 0.6372 +2025-07-02 14:18:21,248 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:03:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 0.6890, loss: 0.6890 +2025-07-02 14:18:36,807 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:03:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5861, loss: 0.5861 +2025-07-02 14:18:52,343 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:02:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6124, loss: 0.6124 +2025-07-02 14:19:07,816 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:02:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6446, loss: 0.6446 +2025-07-02 14:19:23,167 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:02:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6729, loss: 0.6729 +2025-07-02 14:19:38,605 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:01:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 0.6825, loss: 0.6825 +2025-07-02 14:19:54,022 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:01:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 0.6040, loss: 0.6040 +2025-07-02 14:20:09,472 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:01:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9825, loss_cls: 0.6014, loss: 0.6014 +2025-07-02 14:20:24,933 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:00:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8700, top5_acc: 0.9806, loss_cls: 0.6737, loss: 0.6737 +2025-07-02 14:20:37,513 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 14:21:00,228 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:21:00,238 - pyskl - INFO - +top1_acc 0.8617 +top5_acc 0.9822 +2025-07-02 14:21:00,239 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8617, top5_acc: 0.9822 +2025-07-02 14:21:36,835 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:00:55, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 0.6372, loss: 0.6372 +2025-07-02 14:21:52,346 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:00:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 0.6347, loss: 0.6347 +2025-07-02 14:22:07,743 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:00:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8650, top5_acc: 0.9869, loss_cls: 0.6796, loss: 0.6796 +2025-07-02 14:22:23,127 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:00:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 0.6677, loss: 0.6677 +2025-07-02 14:22:38,511 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 5:59:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5700, loss: 0.5700 +2025-07-02 14:22:53,908 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 5:59:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9806, loss_cls: 0.6634, loss: 0.6634 +2025-07-02 14:23:09,331 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:59:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 0.6051, loss: 0.6051 +2025-07-02 14:23:24,807 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:58:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9812, loss_cls: 0.6457, loss: 0.6457 +2025-07-02 14:23:40,341 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:58:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 0.6634, loss: 0.6634 +2025-07-02 14:23:56,229 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:58:17, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6694, loss: 0.6694 +2025-07-02 14:24:12,078 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:58:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9831, loss_cls: 0.6386, loss: 0.6386 +2025-07-02 14:24:24,888 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 14:24:47,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:24:47,620 - pyskl - INFO - +top1_acc 0.8129 +top5_acc 0.9756 +2025-07-02 14:24:47,621 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.8129, top5_acc: 0.9756 +2025-07-02 14:25:24,416 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:57:58, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9938, loss_cls: 0.5760, loss: 0.5760 +2025-07-02 14:25:39,932 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:57:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 0.6239, loss: 0.6239 +2025-07-02 14:25:55,453 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:57:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.6295, loss: 0.6295 +2025-07-02 14:26:10,887 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:57:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 0.6210, loss: 0.6210 +2025-07-02 14:26:26,360 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:56:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.6137, loss: 0.6137 +2025-07-02 14:26:41,885 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:56:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 0.5988, loss: 0.5988 +2025-07-02 14:26:57,279 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:56:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8544, top5_acc: 0.9844, loss_cls: 0.7016, loss: 0.7016 +2025-07-02 14:27:12,693 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:55:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6487, loss: 0.6487 +2025-07-02 14:27:28,195 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:55:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.5823, loss: 0.5823 +2025-07-02 14:27:43,725 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:55:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 0.6612, loss: 0.6612 +2025-07-02 14:27:59,427 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:55:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 0.6812, loss: 0.6812 +2025-07-02 14:28:12,195 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 14:28:34,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:28:34,743 - pyskl - INFO - +top1_acc 0.8465 +top5_acc 0.9889 +2025-07-02 14:28:34,744 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8465, top5_acc: 0.9889 +2025-07-02 14:29:12,008 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:55:01, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 0.5688, loss: 0.5688 +2025-07-02 14:29:27,524 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:54:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9819, loss_cls: 0.6128, loss: 0.6128 +2025-07-02 14:29:42,976 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:54:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.6012, loss: 0.6012 +2025-07-02 14:29:58,470 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:54:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 0.6154, loss: 0.6154 +2025-07-02 14:30:13,950 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:53:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.6102, loss: 0.6102 +2025-07-02 14:30:29,611 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:53:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6239, loss: 0.6239 +2025-07-02 14:30:45,222 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:53:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 0.5620, loss: 0.5620 +2025-07-02 14:31:00,701 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:52:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9825, loss_cls: 0.6244, loss: 0.6244 +2025-07-02 14:31:16,242 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:52:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 0.7469, loss: 0.7469 +2025-07-02 14:31:31,830 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:52:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 0.6544, loss: 0.6544 +2025-07-02 14:31:47,354 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:52:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 0.6371, loss: 0.6371 +2025-07-02 14:31:59,995 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 14:32:22,501 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:32:22,512 - pyskl - INFO - +top1_acc 0.8480 +top5_acc 0.9845 +2025-07-02 14:32:22,512 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8480, top5_acc: 0.9845 +2025-07-02 14:32:59,554 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:52:03, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 14:33:15,183 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:51:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5872, loss: 0.5872 +2025-07-02 14:33:30,623 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:51:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5556, loss: 0.5556 +2025-07-02 14:33:46,000 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:51:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 14:34:01,387 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:50:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6126, loss: 0.6126 +2025-07-02 14:34:16,869 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:50:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.6051, loss: 0.6051 +2025-07-02 14:34:32,345 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:50:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9825, loss_cls: 0.6350, loss: 0.6350 +2025-07-02 14:34:47,862 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:50:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 0.6198, loss: 0.6198 +2025-07-02 14:35:03,282 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:49:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 0.5939, loss: 0.5939 +2025-07-02 14:35:18,745 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:49:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 0.6453, loss: 0.6453 +2025-07-02 14:35:34,462 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:49:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 0.6362, loss: 0.6362 +2025-07-02 14:35:47,209 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 14:36:09,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:36:09,907 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9852 +2025-07-02 14:36:09,907 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8706, top5_acc: 0.9852 +2025-07-02 14:36:46,979 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:49:03, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5860, loss: 0.5860 +2025-07-02 14:37:02,454 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:48:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.5144, loss: 0.5144 +2025-07-02 14:37:17,943 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:48:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5605, loss: 0.5605 +2025-07-02 14:37:33,382 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:48:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.5263, loss: 0.5263 +2025-07-02 14:37:48,740 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:47:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.6083, loss: 0.6083 +2025-07-02 14:38:04,124 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:47:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6045, loss: 0.6045 +2025-07-02 14:38:19,511 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:47:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5534, loss: 0.5534 +2025-07-02 14:38:34,951 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:46:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9825, loss_cls: 0.5742, loss: 0.5742 +2025-07-02 14:38:50,449 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:46:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 0.6571, loss: 0.6571 +2025-07-02 14:39:05,919 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:46:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9844, loss_cls: 0.6321, loss: 0.6321 +2025-07-02 14:39:21,448 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:46:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 0.5698, loss: 0.5698 +2025-07-02 14:39:34,123 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 14:39:57,032 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:39:57,042 - pyskl - INFO - +top1_acc 0.7925 +top5_acc 0.9623 +2025-07-02 14:39:57,043 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.7925, top5_acc: 0.9623 +2025-07-02 14:40:33,976 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:46:02, time: 0.369, data_time: 0.212, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6198, loss: 0.6198 +2025-07-02 14:40:49,557 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:45:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5667, loss: 0.5667 +2025-07-02 14:41:05,085 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:45:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9819, loss_cls: 0.5798, loss: 0.5798 +2025-07-02 14:41:20,620 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:45:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 0.5525, loss: 0.5525 +2025-07-02 14:41:36,088 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:44:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 0.5956, loss: 0.5956 +2025-07-02 14:41:51,542 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:44:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9875, loss_cls: 0.6239, loss: 0.6239 +2025-07-02 14:42:07,073 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:44:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 0.6365, loss: 0.6365 +2025-07-02 14:42:22,577 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:44:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 0.6333, loss: 0.6333 +2025-07-02 14:42:38,066 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:43:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9819, loss_cls: 0.6061, loss: 0.6061 +2025-07-02 14:42:53,627 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:43:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.6405, loss: 0.6405 +2025-07-02 14:43:09,104 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:43:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 0.5816, loss: 0.5816 +2025-07-02 14:43:21,784 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 14:43:44,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:43:44,853 - pyskl - INFO - +top1_acc 0.8702 +top5_acc 0.9893 +2025-07-02 14:43:44,853 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.8702, top5_acc: 0.9893 +2025-07-02 14:44:21,781 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:43:01, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9938, loss_cls: 0.5356, loss: 0.5356 +2025-07-02 14:44:37,270 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:42:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 0.6272, loss: 0.6272 +2025-07-02 14:44:52,766 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:42:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9869, loss_cls: 0.5229, loss: 0.5229 +2025-07-02 14:45:08,234 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:42:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.6057, loss: 0.6057 +2025-07-02 14:45:23,717 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:41:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9812, loss_cls: 0.6064, loss: 0.6064 +2025-07-02 14:45:39,275 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:41:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5342, loss: 0.5342 +2025-07-02 14:45:54,820 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:41:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 0.5724, loss: 0.5724 +2025-07-02 14:46:10,249 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:40:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5696, loss: 0.5696 +2025-07-02 14:46:25,774 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:40:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9838, loss_cls: 0.6088, loss: 0.6088 +2025-07-02 14:46:41,196 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:40:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6245, loss: 0.6245 +2025-07-02 14:46:56,728 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:40:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9812, loss_cls: 0.6027, loss: 0.6027 +2025-07-02 14:47:09,365 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 14:47:32,130 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:47:32,140 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9926 +2025-07-02 14:47:32,144 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_33.pth was removed +2025-07-02 14:47:32,262 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2025-07-02 14:47:32,262 - pyskl - INFO - Best top1_acc is 0.8979 at 42 epoch. +2025-07-02 14:47:32,263 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.8979, top5_acc: 0.9926 +2025-07-02 14:48:09,294 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:40:00, time: 0.370, data_time: 0.213, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.5004, loss: 0.5004 +2025-07-02 14:48:24,634 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:39:42, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5521, loss: 0.5521 +2025-07-02 14:48:40,040 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:39:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6021, loss: 0.6021 +2025-07-02 14:48:55,413 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:39:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5371, loss: 0.5371 +2025-07-02 14:49:10,812 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:38:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.6090, loss: 0.6090 +2025-07-02 14:49:26,193 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:38:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9825, loss_cls: 0.6019, loss: 0.6019 +2025-07-02 14:49:41,664 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:38:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5635, loss: 0.5635 +2025-07-02 14:49:57,216 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:37:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 14:50:12,674 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:37:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 0.5106, loss: 0.5106 +2025-07-02 14:50:28,145 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:37:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6565, loss: 0.6565 +2025-07-02 14:50:43,675 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:37:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 0.6385, loss: 0.6385 +2025-07-02 14:50:56,356 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 14:51:19,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:51:19,068 - pyskl - INFO - +top1_acc 0.8384 +top5_acc 0.9885 +2025-07-02 14:51:19,068 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8384, top5_acc: 0.9885 +2025-07-02 14:51:56,494 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:36:58, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 0.6052, loss: 0.6052 +2025-07-02 14:52:12,058 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:36:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9806, loss_cls: 0.5760, loss: 0.5760 +2025-07-02 14:52:27,730 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:36:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9925, loss_cls: 0.5898, loss: 0.5898 +2025-07-02 14:52:43,192 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:36:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 0.5475, loss: 0.5475 +2025-07-02 14:52:58,632 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:35:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.6019, loss: 0.6019 +2025-07-02 14:53:14,062 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:35:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5617, loss: 0.5617 +2025-07-02 14:53:29,606 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:35:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 0.6204, loss: 0.6204 +2025-07-02 14:53:45,105 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:34:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.6023, loss: 0.6023 +2025-07-02 14:54:00,730 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:34:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 14:54:16,384 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:34:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 0.5728, loss: 0.5728 +2025-07-02 14:54:32,074 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:34:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5954, loss: 0.5954 +2025-07-02 14:54:44,735 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 14:55:07,624 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:55:07,634 - pyskl - INFO - +top1_acc 0.8406 +top5_acc 0.9782 +2025-07-02 14:55:07,634 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.8406, top5_acc: 0.9782 +2025-07-02 14:55:44,696 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:33:57, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 0.5514, loss: 0.5514 +2025-07-02 14:56:00,207 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:33:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 0.4904, loss: 0.4904 +2025-07-02 14:56:15,682 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:33:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9931, loss_cls: 0.5879, loss: 0.5879 +2025-07-02 14:56:31,099 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:33:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.6122, loss: 0.6122 +2025-07-02 14:56:46,485 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:32:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9825, loss_cls: 0.5911, loss: 0.5911 +2025-07-02 14:57:01,887 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:32:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5674, loss: 0.5674 +2025-07-02 14:57:17,373 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:32:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.6028, loss: 0.6028 +2025-07-02 14:57:32,865 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:31:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5546, loss: 0.5546 +2025-07-02 14:57:48,400 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:31:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9906, loss_cls: 0.5656, loss: 0.5656 +2025-07-02 14:58:03,780 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:31:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 0.6012, loss: 0.6012 +2025-07-02 14:58:19,222 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:31:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5501, loss: 0.5501 +2025-07-02 14:58:31,875 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 14:58:54,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:58:54,511 - pyskl - INFO - +top1_acc 0.8728 +top5_acc 0.9871 +2025-07-02 14:58:54,512 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8728, top5_acc: 0.9871 +2025-07-02 14:59:31,390 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:30:53, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 14:59:46,938 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:30:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.5590, loss: 0.5590 +2025-07-02 15:00:02,444 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:30:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.5125, loss: 0.5125 +2025-07-02 15:00:17,875 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:30:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.6145, loss: 0.6145 +2025-07-02 15:00:33,346 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:29:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4868, loss: 0.4868 +2025-07-02 15:00:48,817 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:29:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 0.6199, loss: 0.6199 +2025-07-02 15:01:04,328 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:29:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5862, loss: 0.5862 +2025-07-02 15:01:20,014 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:28:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 15:01:35,645 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:28:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.5865, loss: 0.5865 +2025-07-02 15:01:51,289 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:28:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9906, loss_cls: 0.5899, loss: 0.5899 +2025-07-02 15:02:07,066 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:28:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.6104, loss: 0.6104 +2025-07-02 15:02:19,874 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 15:02:42,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:02:42,333 - pyskl - INFO - +top1_acc 0.8591 +top5_acc 0.9726 +2025-07-02 15:02:42,334 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.8591, top5_acc: 0.9726 +2025-07-02 15:03:19,108 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:27:51, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9862, loss_cls: 0.5028, loss: 0.5028 +2025-07-02 15:03:34,593 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:27:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 0.4804, loss: 0.4804 +2025-07-02 15:03:50,146 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:27:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.6103, loss: 0.6103 +2025-07-02 15:04:05,632 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:26:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 15:04:21,179 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:26:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 0.5501, loss: 0.5501 +2025-07-02 15:04:36,639 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:26:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6438, loss: 0.6438 +2025-07-02 15:04:52,076 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:26:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5861, loss: 0.5861 +2025-07-02 15:05:07,654 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:25:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9850, loss_cls: 0.5709, loss: 0.5709 +2025-07-02 15:05:23,250 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:25:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.6054, loss: 0.6054 +2025-07-02 15:05:38,674 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:25:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 15:05:54,556 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:24:59, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 0.5348, loss: 0.5348 +2025-07-02 15:06:07,330 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 15:06:30,229 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:06:30,239 - pyskl - INFO - +top1_acc 0.7851 +top5_acc 0.9453 +2025-07-02 15:06:30,240 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.7851, top5_acc: 0.9453 +2025-07-02 15:07:08,073 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:24:50, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5434, loss: 0.5434 +2025-07-02 15:07:23,780 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:24:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.4976, loss: 0.4976 +2025-07-02 15:07:39,630 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:24:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.6232, loss: 0.6232 +2025-07-02 15:07:55,333 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:24:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5695, loss: 0.5695 +2025-07-02 15:08:11,400 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:23:44, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5339, loss: 0.5339 +2025-07-02 15:08:27,172 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:23:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.5858, loss: 0.5858 +2025-07-02 15:08:42,902 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:23:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 0.6045, loss: 0.6045 +2025-07-02 15:08:58,568 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:22:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9900, loss_cls: 0.5619, loss: 0.5619 +2025-07-02 15:09:14,311 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:22:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6236, loss: 0.6236 +2025-07-02 15:09:29,825 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:22:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9881, loss_cls: 0.5931, loss: 0.5931 +2025-07-02 15:09:45,302 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:22:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5176, loss: 0.5176 +2025-07-02 15:09:57,938 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 15:10:20,446 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:10:20,456 - pyskl - INFO - +top1_acc 0.8609 +top5_acc 0.9837 +2025-07-02 15:10:20,456 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.8609, top5_acc: 0.9837 +2025-07-02 15:10:57,269 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:21:51, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5421, loss: 0.5421 +2025-07-02 15:11:12,859 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:21:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5361, loss: 0.5361 +2025-07-02 15:11:28,334 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:21:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9850, loss_cls: 0.5222, loss: 0.5222 +2025-07-02 15:11:43,741 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:20:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5285, loss: 0.5285 +2025-07-02 15:11:59,179 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:20:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6113, loss: 0.6113 +2025-07-02 15:12:14,624 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:20:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 15:12:30,135 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:20:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9844, loss_cls: 0.5755, loss: 0.5755 +2025-07-02 15:12:45,686 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:19:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9862, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 15:13:01,137 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:19:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.5653, loss: 0.5653 +2025-07-02 15:13:16,623 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:19:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.5830, loss: 0.5830 +2025-07-02 15:13:32,084 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:18:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 15:13:44,708 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 15:14:07,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:14:07,048 - pyskl - INFO - +top1_acc 0.8613 +top5_acc 0.9882 +2025-07-02 15:14:07,048 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.8613, top5_acc: 0.9882 +2025-07-02 15:14:43,971 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:18:46, time: 0.369, data_time: 0.212, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9950, loss_cls: 0.4976, loss: 0.4976 +2025-07-02 15:14:59,402 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:18:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5293, loss: 0.5293 +2025-07-02 15:15:14,834 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:18:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.5141, loss: 0.5141 +2025-07-02 15:15:30,273 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:17:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.5146, loss: 0.5146 +2025-07-02 15:15:45,721 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:17:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 15:16:01,173 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:17:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5788, loss: 0.5788 +2025-07-02 15:16:16,609 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:17:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 0.6193, loss: 0.6193 +2025-07-02 15:16:32,087 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:16:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4938, loss: 0.4938 +2025-07-02 15:16:47,576 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:16:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 15:17:03,052 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:16:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.6213, loss: 0.6213 +2025-07-02 15:17:18,567 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:15:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.6024, loss: 0.6024 +2025-07-02 15:17:31,314 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 15:17:53,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:17:53,684 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9885 +2025-07-02 15:17:53,684 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8524, top5_acc: 0.9885 +2025-07-02 15:18:30,855 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:15:41, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9938, loss_cls: 0.5287, loss: 0.5287 +2025-07-02 15:18:46,447 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:15:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 0.5265, loss: 0.5265 +2025-07-02 15:19:01,973 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:15:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.5429, loss: 0.5429 +2025-07-02 15:19:17,518 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:14:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5557, loss: 0.5557 +2025-07-02 15:19:33,028 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:14:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5485, loss: 0.5485 +2025-07-02 15:19:48,522 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:14:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4673, loss: 0.4673 +2025-07-02 15:20:04,001 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:13:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5590, loss: 0.5590 +2025-07-02 15:20:19,485 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:13:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5555, loss: 0.5555 +2025-07-02 15:20:34,990 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:13:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 15:20:50,756 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:13:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 0.5872, loss: 0.5872 +2025-07-02 15:21:06,473 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:12:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 0.6011, loss: 0.6011 +2025-07-02 15:21:19,244 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 15:21:42,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:21:42,210 - pyskl - INFO - +top1_acc 0.7692 +top5_acc 0.9416 +2025-07-02 15:21:42,211 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.7692, top5_acc: 0.9416 +2025-07-02 15:22:20,006 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:12:39, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5062, loss: 0.5062 +2025-07-02 15:22:35,616 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:12:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 0.4719, loss: 0.4719 +2025-07-02 15:22:51,191 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:12:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9856, loss_cls: 0.5325, loss: 0.5325 +2025-07-02 15:23:06,643 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:11:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 0.5669, loss: 0.5669 +2025-07-02 15:23:22,121 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:11:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5541, loss: 0.5541 +2025-07-02 15:23:37,565 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:11:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5317, loss: 0.5317 +2025-07-02 15:23:53,050 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:10:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 15:24:08,610 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:10:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4892, loss: 0.4892 +2025-07-02 15:24:24,090 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:10:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9925, loss_cls: 0.5488, loss: 0.5488 +2025-07-02 15:24:39,703 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:10:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.5809, loss: 0.5809 +2025-07-02 15:24:55,075 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:09:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5289, loss: 0.5289 +2025-07-02 15:25:07,658 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 15:25:31,161 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:25:31,171 - pyskl - INFO - +top1_acc 0.8536 +top5_acc 0.9837 +2025-07-02 15:25:31,172 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.8536, top5_acc: 0.9837 +2025-07-02 15:26:08,424 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:09:34, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5550, loss: 0.5550 +2025-07-02 15:26:23,896 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:09:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4722, loss: 0.4722 +2025-07-02 15:26:39,424 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:09:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 0.4858, loss: 0.4858 +2025-07-02 15:26:54,960 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:08:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.5253, loss: 0.5253 +2025-07-02 15:27:10,440 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:08:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9838, loss_cls: 0.5807, loss: 0.5807 +2025-07-02 15:27:25,923 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:08:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 15:27:41,406 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:07:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5221, loss: 0.5221 +2025-07-02 15:27:56,931 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:07:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5634, loss: 0.5634 +2025-07-02 15:28:12,451 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:07:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 0.5255, loss: 0.5255 +2025-07-02 15:28:27,915 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:06:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4654, loss: 0.4654 +2025-07-02 15:28:43,610 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:06:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 0.5717, loss: 0.5717 +2025-07-02 15:28:56,351 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 15:29:19,981 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:29:19,991 - pyskl - INFO - +top1_acc 0.8646 +top5_acc 0.9815 +2025-07-02 15:29:19,992 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.8646, top5_acc: 0.9815 +2025-07-02 15:29:57,499 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:06:30, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5181, loss: 0.5181 +2025-07-02 15:30:13,035 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:06:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.4968, loss: 0.4968 +2025-07-02 15:30:28,582 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:05:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.5565, loss: 0.5565 +2025-07-02 15:30:44,112 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:05:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 0.5511, loss: 0.5511 +2025-07-02 15:30:59,615 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:05:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5337, loss: 0.5337 +2025-07-02 15:31:15,125 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:05:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4880, loss: 0.4880 +2025-07-02 15:31:30,577 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:04:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9925, loss_cls: 0.5403, loss: 0.5403 +2025-07-02 15:31:46,210 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 0.4970, loss: 0.4970 +2025-07-02 15:32:01,874 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:04:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9862, loss_cls: 0.5748, loss: 0.5748 +2025-07-02 15:32:17,273 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:03:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5093, loss: 0.5093 +2025-07-02 15:32:32,652 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:03:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.4911, loss: 0.4911 +2025-07-02 15:32:45,198 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 15:33:08,592 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:33:08,603 - pyskl - INFO - +top1_acc 0.8857 +top5_acc 0.9900 +2025-07-02 15:33:08,603 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8857, top5_acc: 0.9900 +2025-07-02 15:33:46,061 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:03:25, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9838, loss_cls: 0.5483, loss: 0.5483 +2025-07-02 15:34:01,582 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:03:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.4962, loss: 0.4962 +2025-07-02 15:34:17,108 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:02:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 15:34:32,524 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:02:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 0.5607, loss: 0.5607 +2025-07-02 15:34:47,917 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:02:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5190, loss: 0.5190 +2025-07-02 15:35:03,319 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:01:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5318, loss: 0.5318 +2025-07-02 15:35:18,726 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:01:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5465, loss: 0.5465 +2025-07-02 15:35:34,295 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:01:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5246, loss: 0.5246 +2025-07-02 15:35:49,832 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:01:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9856, loss_cls: 0.5130, loss: 0.5130 +2025-07-02 15:36:05,425 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:00:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5009, loss: 0.5009 +2025-07-02 15:36:20,928 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:00:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5334, loss: 0.5334 +2025-07-02 15:36:33,548 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 15:36:56,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:36:56,822 - pyskl - INFO - +top1_acc 0.8872 +top5_acc 0.9885 +2025-07-02 15:36:56,823 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.8872, top5_acc: 0.9885 +2025-07-02 15:37:34,520 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:00:20, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4654, loss: 0.4654 +2025-07-02 15:37:50,147 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:00:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 15:38:05,654 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 4:59:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5725, loss: 0.5725 +2025-07-02 15:38:21,107 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 4:59:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9875, loss_cls: 0.5253, loss: 0.5253 +2025-07-02 15:38:36,537 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 4:59:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 0.5464, loss: 0.5464 +2025-07-02 15:38:51,971 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:58:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.4939, loss: 0.4939 +2025-07-02 15:39:07,337 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:58:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 0.4608, loss: 0.4608 +2025-07-02 15:39:22,846 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:58:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 15:39:38,381 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:58:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.5266, loss: 0.5266 +2025-07-02 15:39:53,995 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:57:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4996, loss: 0.4996 +2025-07-02 15:40:09,702 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:57:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5027, loss: 0.5027 +2025-07-02 15:40:22,599 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 15:40:45,803 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:40:45,813 - pyskl - INFO - +top1_acc 0.8365 +top5_acc 0.9848 +2025-07-02 15:40:45,813 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.8365, top5_acc: 0.9848 +2025-07-02 15:41:23,370 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:57:15, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4647, loss: 0.4647 +2025-07-02 15:41:38,799 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:56:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4245, loss: 0.4245 +2025-07-02 15:41:54,319 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:56:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.5191, loss: 0.5191 +2025-07-02 15:42:09,880 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:56:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 0.5346, loss: 0.5346 +2025-07-02 15:42:25,411 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:56:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 15:42:41,283 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:55:50, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9969, loss_cls: 0.4918, loss: 0.4918 +2025-07-02 15:42:56,800 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:55:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5837, loss: 0.5837 +2025-07-02 15:43:12,347 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:55:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5159, loss: 0.5159 +2025-07-02 15:43:27,973 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:54:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 15:43:43,532 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:54:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 15:43:59,077 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:54:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4762, loss: 0.4762 +2025-07-02 15:44:11,949 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 15:44:35,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:44:35,183 - pyskl - INFO - +top1_acc 0.8458 +top5_acc 0.9778 +2025-07-02 15:44:35,184 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.8458, top5_acc: 0.9778 +2025-07-02 15:45:13,025 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:54:11, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 15:45:28,556 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:53:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.4842, loss: 0.4842 +2025-07-02 15:45:44,151 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:53:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 15:45:59,733 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:53:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5109, loss: 0.5109 +2025-07-02 15:46:15,283 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:53:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 15:46:30,825 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:52:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.4833, loss: 0.4833 +2025-07-02 15:46:46,346 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:52:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 0.5295, loss: 0.5295 +2025-07-02 15:47:01,922 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:52:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.5022, loss: 0.5022 +2025-07-02 15:47:17,483 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:51:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4494, loss: 0.4494 +2025-07-02 15:47:33,072 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:51:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 15:47:48,716 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:51:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5531, loss: 0.5531 +2025-07-02 15:48:01,480 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 15:48:24,633 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:48:24,644 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9919 +2025-07-02 15:48:24,645 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.8964, top5_acc: 0.9919 +2025-07-02 15:49:02,259 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:51:06, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9888, loss_cls: 0.4629, loss: 0.4629 +2025-07-02 15:49:17,666 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:50:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4317, loss: 0.4317 +2025-07-02 15:49:33,097 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:50:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9844, loss_cls: 0.5110, loss: 0.5110 +2025-07-02 15:49:48,438 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:50:14, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5103, loss: 0.5103 +2025-07-02 15:50:03,810 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:49:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5181, loss: 0.5181 +2025-07-02 15:50:19,220 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:49:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9881, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 15:50:34,641 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:49:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9869, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 15:50:50,040 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:49:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9938, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 15:51:05,558 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:48:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 0.5481, loss: 0.5481 +2025-07-02 15:51:21,186 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:48:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5312, loss: 0.5312 +2025-07-02 15:51:36,793 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:48:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4801, loss: 0.4801 +2025-07-02 15:51:49,465 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 15:52:13,112 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:52:13,123 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9922 +2025-07-02 15:52:13,127 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_42.pth was removed +2025-07-02 15:52:13,253 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. +2025-07-02 15:52:13,253 - pyskl - INFO - Best top1_acc is 0.8990 at 59 epoch. +2025-07-02 15:52:13,254 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.8990, top5_acc: 0.9922 +2025-07-02 15:52:51,091 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:48:00, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4749, loss: 0.4749 +2025-07-02 15:53:06,599 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:47:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.4905, loss: 0.4905 +2025-07-02 15:53:22,186 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:47:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 15:53:37,636 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:47:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 0.5265, loss: 0.5265 +2025-07-02 15:53:53,090 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:46:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4824, loss: 0.4824 +2025-07-02 15:54:08,502 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:46:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4967, loss: 0.4967 +2025-07-02 15:54:24,335 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:46:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4479, loss: 0.4479 +2025-07-02 15:54:39,918 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:46:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.4631, loss: 0.4631 +2025-07-02 15:54:55,399 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:45:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5014, loss: 0.5014 +2025-07-02 15:55:10,889 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:45:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 0.5335, loss: 0.5335 +2025-07-02 15:55:26,375 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:45:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.4829, loss: 0.4829 +2025-07-02 15:55:39,189 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 15:56:02,870 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:56:02,880 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9952 +2025-07-02 15:56:02,881 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.8961, top5_acc: 0.9952 +2025-07-02 15:56:40,719 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:44:54, time: 0.378, data_time: 0.221, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4488, loss: 0.4488 +2025-07-02 15:56:56,192 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:44:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4434, loss: 0.4434 +2025-07-02 15:57:11,646 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:44:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4469, loss: 0.4469 +2025-07-02 15:57:27,009 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:44:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5548, loss: 0.5548 +2025-07-02 15:57:42,386 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:43:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9862, loss_cls: 0.4984, loss: 0.4984 +2025-07-02 15:57:57,818 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:43:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4694, loss: 0.4694 +2025-07-02 15:58:13,209 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:43:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5136, loss: 0.5136 +2025-07-02 15:58:28,799 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:42:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4852, loss: 0.4852 +2025-07-02 15:58:44,359 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:42:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.5048, loss: 0.5048 +2025-07-02 15:58:59,951 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:42:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 15:59:15,475 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:42:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4802, loss: 0.4802 +2025-07-02 15:59:28,100 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 15:59:51,688 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:59:51,699 - pyskl - INFO - +top1_acc 0.8303 +top5_acc 0.9830 +2025-07-02 15:59:51,699 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.8303, top5_acc: 0.9830 +2025-07-02 16:00:29,550 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:41:48, time: 0.378, data_time: 0.221, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9950, loss_cls: 0.4579, loss: 0.4579 +2025-07-02 16:00:45,039 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:41:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 0.4458, loss: 0.4458 +2025-07-02 16:01:00,532 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:41:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4565, loss: 0.4565 +2025-07-02 16:01:15,933 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:40:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4713, loss: 0.4713 +2025-07-02 16:01:31,296 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:40:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 16:01:46,672 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:40:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.4889, loss: 0.4889 +2025-07-02 16:02:02,045 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:40:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4122, loss: 0.4122 +2025-07-02 16:02:17,458 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:39:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.4910, loss: 0.4910 +2025-07-02 16:02:32,990 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:39:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4987, loss: 0.4987 +2025-07-02 16:02:48,570 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:39:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 16:03:04,254 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:38:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4663, loss: 0.4663 +2025-07-02 16:03:17,076 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 16:03:40,129 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:03:40,139 - pyskl - INFO - +top1_acc 0.7367 +top5_acc 0.9553 +2025-07-02 16:03:40,140 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.7367, top5_acc: 0.9553 +2025-07-02 16:04:17,802 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:38:41, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.4117, loss: 0.4117 +2025-07-02 16:04:33,195 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:38:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4420, loss: 0.4420 +2025-07-02 16:04:48,641 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:38:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9944, loss_cls: 0.4627, loss: 0.4627 +2025-07-02 16:05:04,092 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:37:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4720, loss: 0.4720 +2025-07-02 16:05:19,483 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:37:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3848, loss: 0.3848 +2025-07-02 16:05:34,889 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:37:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5098, loss: 0.5098 +2025-07-02 16:05:50,290 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:36:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.4907, loss: 0.4907 +2025-07-02 16:06:05,640 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:36:40, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5171, loss: 0.5171 +2025-07-02 16:06:21,033 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:36:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5069, loss: 0.5069 +2025-07-02 16:06:36,512 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:36:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4801, loss: 0.4801 +2025-07-02 16:06:51,907 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:35:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4544, loss: 0.4544 +2025-07-02 16:07:04,557 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 16:07:27,672 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:07:27,682 - pyskl - INFO - +top1_acc 0.8310 +top5_acc 0.9549 +2025-07-02 16:07:27,683 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.8310, top5_acc: 0.9549 +2025-07-02 16:08:05,631 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:35:33, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4533, loss: 0.4533 +2025-07-02 16:08:21,266 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:35:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4190, loss: 0.4190 +2025-07-02 16:08:36,801 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:34:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 0.5239, loss: 0.5239 +2025-07-02 16:08:52,333 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:34:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4019, loss: 0.4019 +2025-07-02 16:09:07,789 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:34:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 16:09:23,233 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:34:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5171, loss: 0.5171 +2025-07-02 16:09:38,743 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:33:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9856, loss_cls: 0.4852, loss: 0.4852 +2025-07-02 16:09:54,602 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:33:34, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4638, loss: 0.4638 +2025-07-02 16:10:10,327 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:33:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5324, loss: 0.5324 +2025-07-02 16:10:26,037 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:33:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9862, loss_cls: 0.5014, loss: 0.5014 +2025-07-02 16:10:41,780 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:32:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4040, loss: 0.4040 +2025-07-02 16:10:54,621 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 16:11:17,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:11:17,739 - pyskl - INFO - +top1_acc 0.8476 +top5_acc 0.9763 +2025-07-02 16:11:17,740 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.8476, top5_acc: 0.9763 +2025-07-02 16:11:55,188 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:32:27, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9969, loss_cls: 0.4600, loss: 0.4600 +2025-07-02 16:12:10,673 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:32:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3702, loss: 0.3702 +2025-07-02 16:12:26,140 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:31:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3751, loss: 0.3751 +2025-07-02 16:12:41,605 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:31:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4635, loss: 0.4635 +2025-07-02 16:12:57,080 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:31:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4595, loss: 0.4595 +2025-07-02 16:13:12,499 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:31:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4549, loss: 0.4549 +2025-07-02 16:13:27,924 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:30:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.4860, loss: 0.4860 +2025-07-02 16:13:43,471 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:30:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5208, loss: 0.5208 +2025-07-02 16:13:59,049 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:30:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4992, loss: 0.4992 +2025-07-02 16:14:14,746 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:29:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9844, loss_cls: 0.4833, loss: 0.4833 +2025-07-02 16:14:30,243 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:29:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9950, loss_cls: 0.5154, loss: 0.5154 +2025-07-02 16:14:42,935 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 16:15:06,145 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:15:06,155 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9919 +2025-07-02 16:15:06,156 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.8876, top5_acc: 0.9919 +2025-07-02 16:15:43,821 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:29:20, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4709, loss: 0.4709 +2025-07-02 16:15:59,400 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:29:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4205, loss: 0.4205 +2025-07-02 16:16:15,019 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:28:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4527, loss: 0.4527 +2025-07-02 16:16:30,546 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:28:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4728, loss: 0.4728 +2025-07-02 16:16:46,159 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:28:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4613, loss: 0.4613 +2025-07-02 16:17:02,125 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:27:56, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5385, loss: 0.5385 +2025-07-02 16:17:17,982 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:27:40, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4244, loss: 0.4244 +2025-07-02 16:17:33,682 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:27:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.4214, loss: 0.4214 +2025-07-02 16:17:49,228 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:27:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 16:18:04,730 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:26:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.4550, loss: 0.4550 +2025-07-02 16:18:20,162 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:26:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.4945, loss: 0.4945 +2025-07-02 16:18:32,829 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 16:18:56,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:18:56,307 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9878 +2025-07-02 16:18:56,307 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.8524, top5_acc: 0.9878 +2025-07-02 16:19:34,233 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:26:15, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4371, loss: 0.4371 +2025-07-02 16:19:49,712 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:25:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9881, loss_cls: 0.4588, loss: 0.4588 +2025-07-02 16:20:05,158 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:25:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4385, loss: 0.4385 +2025-07-02 16:20:20,633 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:25:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4826, loss: 0.4826 +2025-07-02 16:20:36,025 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:25:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.4019, loss: 0.4019 +2025-07-02 16:20:51,507 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:24:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.4619, loss: 0.4619 +2025-07-02 16:21:07,074 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:24:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.4956, loss: 0.4956 +2025-07-02 16:21:22,526 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:24:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4356, loss: 0.4356 +2025-07-02 16:21:38,163 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:23:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4637, loss: 0.4637 +2025-07-02 16:21:53,663 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:23:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4584, loss: 0.4584 +2025-07-02 16:22:09,105 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:23:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9969, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 16:22:21,937 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 16:22:45,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:22:45,241 - pyskl - INFO - +top1_acc 0.8839 +top5_acc 0.9911 +2025-07-02 16:22:45,241 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.8839, top5_acc: 0.9911 +2025-07-02 16:23:22,734 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:23:07, time: 0.375, data_time: 0.218, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4520, loss: 0.4520 +2025-07-02 16:23:38,132 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:22:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3868, loss: 0.3868 +2025-07-02 16:23:53,566 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:22:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4575, loss: 0.4575 +2025-07-02 16:24:09,058 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:22:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4277, loss: 0.4277 +2025-07-02 16:24:24,505 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:21:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4463, loss: 0.4463 +2025-07-02 16:24:39,886 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:21:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5006, loss: 0.5006 +2025-07-02 16:24:55,331 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:21:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 16:25:10,968 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:21:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4587, loss: 0.4587 +2025-07-02 16:25:26,384 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:20:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4236, loss: 0.4236 +2025-07-02 16:25:41,802 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:20:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9950, loss_cls: 0.4709, loss: 0.4709 +2025-07-02 16:25:57,238 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:20:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 16:26:09,935 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 16:26:33,322 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:26:33,334 - pyskl - INFO - +top1_acc 0.8857 +top5_acc 0.9930 +2025-07-02 16:26:33,334 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.8857, top5_acc: 0.9930 +2025-07-02 16:27:11,090 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:19:59, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4445, loss: 0.4445 +2025-07-02 16:27:26,634 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:19:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.3833, loss: 0.3833 +2025-07-02 16:27:42,504 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:19:25, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3866, loss: 0.3866 +2025-07-02 16:27:58,051 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:19:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4653, loss: 0.4653 +2025-07-02 16:28:13,616 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:18:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4355, loss: 0.4355 +2025-07-02 16:28:29,078 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:18:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4470, loss: 0.4470 +2025-07-02 16:28:44,644 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:18:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9956, loss_cls: 0.4297, loss: 0.4297 +2025-07-02 16:29:00,153 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:18:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4438, loss: 0.4438 +2025-07-02 16:29:15,710 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:17:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 0.3957, loss: 0.3957 +2025-07-02 16:29:31,156 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:17:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.4321, loss: 0.4321 +2025-07-02 16:29:46,697 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:17:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9944, loss_cls: 0.4757, loss: 0.4757 +2025-07-02 16:29:59,492 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 16:30:22,773 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:30:22,783 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9926 +2025-07-02 16:30:22,784 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.8735, top5_acc: 0.9926 +2025-07-02 16:31:01,184 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:16:53, time: 0.384, data_time: 0.226, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4046, loss: 0.4046 +2025-07-02 16:31:16,785 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:16:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3700, loss: 0.3700 +2025-07-02 16:31:32,581 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:16:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3897, loss: 0.3897 +2025-07-02 16:31:48,187 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:16:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4202, loss: 0.4202 +2025-07-02 16:32:03,936 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:15:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4412, loss: 0.4412 +2025-07-02 16:32:19,847 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:15:29, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4018, loss: 0.4018 +2025-07-02 16:32:35,536 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:15:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.4491, loss: 0.4491 +2025-07-02 16:32:51,100 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:14:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4650, loss: 0.4650 +2025-07-02 16:33:06,615 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:14:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 16:33:22,210 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:14:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4756, loss: 0.4756 +2025-07-02 16:33:37,721 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:14:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4081, loss: 0.4081 +2025-07-02 16:33:50,419 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 16:34:13,140 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:34:13,151 - pyskl - INFO - +top1_acc 0.8669 +top5_acc 0.9874 +2025-07-02 16:34:13,152 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.8669, top5_acc: 0.9874 +2025-07-02 16:34:51,363 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:13:47, time: 0.382, data_time: 0.225, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4297, loss: 0.4297 +2025-07-02 16:35:06,737 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:13:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 16:35:22,102 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:13:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.3953, loss: 0.3953 +2025-07-02 16:35:37,508 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:12:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4327, loss: 0.4327 +2025-07-02 16:35:52,935 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:12:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4414, loss: 0.4414 +2025-07-02 16:36:08,345 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:12:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4951, loss: 0.4951 +2025-07-02 16:36:23,849 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:12:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4384, loss: 0.4384 +2025-07-02 16:36:39,280 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:11:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4390, loss: 0.4390 +2025-07-02 16:36:54,684 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:11:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.4935, loss: 0.4935 +2025-07-02 16:37:10,192 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:11:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.4111, loss: 0.4111 +2025-07-02 16:37:25,694 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:10:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4089, loss: 0.4089 +2025-07-02 16:37:38,397 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 16:38:01,439 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:38:01,449 - pyskl - INFO - +top1_acc 0.7348 +top5_acc 0.9271 +2025-07-02 16:38:01,450 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.7348, top5_acc: 0.9271 +2025-07-02 16:38:38,714 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:10:38, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 16:38:54,304 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:10:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3124, loss: 0.3124 +2025-07-02 16:39:09,730 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:10:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4048, loss: 0.4048 +2025-07-02 16:39:25,103 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:09:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3744, loss: 0.3744 +2025-07-02 16:39:40,452 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:09:30, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9956, loss_cls: 0.4456, loss: 0.4456 +2025-07-02 16:39:55,799 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:09:12, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4441, loss: 0.4441 +2025-07-02 16:40:11,177 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:08:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4330, loss: 0.4330 +2025-07-02 16:40:26,563 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:08:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4800, loss: 0.4800 +2025-07-02 16:40:42,111 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:08:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4257, loss: 0.4257 +2025-07-02 16:40:57,706 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:08:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.3835, loss: 0.3835 +2025-07-02 16:41:13,329 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:07:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4639, loss: 0.4639 +2025-07-02 16:41:26,027 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 16:41:48,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:41:48,947 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9933 +2025-07-02 16:41:48,950 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_59.pth was removed +2025-07-02 16:41:49,062 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. +2025-07-02 16:41:49,063 - pyskl - INFO - Best top1_acc is 0.9149 at 72 epoch. +2025-07-02 16:41:49,064 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9149, top5_acc: 0.9933 +2025-07-02 16:42:27,130 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:07:29, time: 0.381, data_time: 0.223, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.3990, loss: 0.3990 +2025-07-02 16:42:42,648 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:07:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3432, loss: 0.3432 +2025-07-02 16:42:58,059 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:06:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.3957, loss: 0.3957 +2025-07-02 16:43:13,485 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:06:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 16:43:29,257 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:06:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4192, loss: 0.4192 +2025-07-02 16:43:44,939 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:06:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4011, loss: 0.4011 +2025-07-02 16:44:00,465 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:05:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3967, loss: 0.3967 +2025-07-02 16:44:15,889 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:05:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4104, loss: 0.4104 +2025-07-02 16:44:31,352 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:05:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4082, loss: 0.4082 +2025-07-02 16:44:46,983 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:04:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4560, loss: 0.4560 +2025-07-02 16:45:02,604 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:04:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4299, loss: 0.4299 +2025-07-02 16:45:15,595 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 16:45:38,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:45:38,180 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9933 +2025-07-02 16:45:38,180 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9072, top5_acc: 0.9933 +2025-07-02 16:46:15,355 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:04:21, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 0.3917, loss: 0.3917 +2025-07-02 16:46:30,814 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:04:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3568, loss: 0.3568 +2025-07-02 16:46:46,251 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:03:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.4212, loss: 0.4212 +2025-07-02 16:47:01,819 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:03:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3792, loss: 0.3792 +2025-07-02 16:47:17,183 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:03:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4154, loss: 0.4154 +2025-07-02 16:47:32,702 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:02:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4354, loss: 0.4354 +2025-07-02 16:47:48,202 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:02:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4159, loss: 0.4159 +2025-07-02 16:48:03,771 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:02:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4365, loss: 0.4365 +2025-07-02 16:48:19,456 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:02:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4233, loss: 0.4233 +2025-07-02 16:48:34,995 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:01:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 16:48:50,629 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:01:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4602, loss: 0.4602 +2025-07-02 16:49:03,341 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 16:49:25,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:49:25,686 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9933 +2025-07-02 16:49:25,687 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9083, top5_acc: 0.9933 +2025-07-02 16:50:03,036 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:01:12, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.3852, loss: 0.3852 +2025-07-02 16:50:18,479 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:00:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.3952, loss: 0.3952 +2025-07-02 16:50:33,868 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:00:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3354, loss: 0.3354 +2025-07-02 16:50:49,207 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:00:21, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3636, loss: 0.3636 +2025-07-02 16:51:04,642 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:00:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4106, loss: 0.4106 +2025-07-02 16:51:20,014 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 3:59:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3819, loss: 0.3819 +2025-07-02 16:51:35,385 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 3:59:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4783, loss: 0.4783 +2025-07-02 16:51:50,784 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:59:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.3911, loss: 0.3911 +2025-07-02 16:52:06,270 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:58:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4141, loss: 0.4141 +2025-07-02 16:52:21,931 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:58:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 0.4215, loss: 0.4215 +2025-07-02 16:52:37,449 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:58:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3651, loss: 0.3651 +2025-07-02 16:52:50,001 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 16:53:12,823 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:53:12,833 - pyskl - INFO - +top1_acc 0.7829 +top5_acc 0.9612 +2025-07-02 16:53:12,833 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.7829, top5_acc: 0.9612 +2025-07-02 16:53:49,974 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:58:02, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 16:54:05,534 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:57:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.3788, loss: 0.3788 +2025-07-02 16:54:21,135 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:57:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3951, loss: 0.3951 +2025-07-02 16:54:36,763 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:57:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4051, loss: 0.4051 +2025-07-02 16:54:52,269 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:56:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4200, loss: 0.4200 +2025-07-02 16:55:07,702 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:56:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.3995, loss: 0.3995 +2025-07-02 16:55:23,283 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:56:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3779, loss: 0.3779 +2025-07-02 16:55:38,956 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:56:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 0.2866, loss: 0.2866 +2025-07-02 16:55:54,603 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:55:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 16:56:10,233 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:55:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 16:56:25,646 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:55:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4060, loss: 0.4060 +2025-07-02 16:56:38,402 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 16:57:01,504 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:57:01,515 - pyskl - INFO - +top1_acc 0.8935 +top5_acc 0.9915 +2025-07-02 16:57:01,515 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.8935, top5_acc: 0.9915 +2025-07-02 16:57:39,026 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:54:54, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.3290, loss: 0.3290 +2025-07-02 16:57:54,653 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:54:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3556, loss: 0.3556 +2025-07-02 16:58:10,201 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:54:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4102, loss: 0.4102 +2025-07-02 16:58:25,719 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:54:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 16:58:41,215 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:53:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3646, loss: 0.3646 +2025-07-02 16:58:56,708 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:53:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.4079, loss: 0.4079 +2025-07-02 16:59:12,207 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:53:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4444, loss: 0.4444 +2025-07-02 16:59:27,633 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:52:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4028, loss: 0.4028 +2025-07-02 16:59:43,117 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:52:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4156, loss: 0.4156 +2025-07-02 16:59:58,596 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:52:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 17:00:14,055 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:52:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3926, loss: 0.3926 +2025-07-02 17:00:26,719 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 17:00:50,079 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:00:50,089 - pyskl - INFO - +top1_acc 0.8883 +top5_acc 0.9904 +2025-07-02 17:00:50,090 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.8883, top5_acc: 0.9904 +2025-07-02 17:01:27,804 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:51:46, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3852, loss: 0.3852 +2025-07-02 17:01:43,308 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:51:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9900, loss_cls: 0.4046, loss: 0.4046 +2025-07-02 17:01:58,839 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:51:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3329, loss: 0.3329 +2025-07-02 17:02:14,374 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:50:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4124, loss: 0.4124 +2025-07-02 17:02:29,867 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:50:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3714, loss: 0.3714 +2025-07-02 17:02:45,390 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:50:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4032, loss: 0.4032 +2025-07-02 17:03:01,016 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:50:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 17:03:16,533 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:49:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3531, loss: 0.3531 +2025-07-02 17:03:32,160 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:49:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 17:03:47,864 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:49:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 0.4159, loss: 0.4159 +2025-07-02 17:04:03,598 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:48:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3147, loss: 0.3147 +2025-07-02 17:04:16,366 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 17:04:39,832 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:04:39,842 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9922 +2025-07-02 17:04:39,843 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9013, top5_acc: 0.9922 +2025-07-02 17:05:17,521 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:48:37, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3413, loss: 0.3413 +2025-07-02 17:05:32,940 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:48:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3554, loss: 0.3554 +2025-07-02 17:05:48,432 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:48:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3757, loss: 0.3757 +2025-07-02 17:06:03,866 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:47:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 17:06:19,272 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:47:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.3650, loss: 0.3650 +2025-07-02 17:06:34,720 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:47:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.4402, loss: 0.4402 +2025-07-02 17:06:50,145 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:46:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3696, loss: 0.3696 +2025-07-02 17:07:05,481 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:46:39, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.3977, loss: 0.3977 +2025-07-02 17:07:20,826 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:22, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3553, loss: 0.3553 +2025-07-02 17:07:36,386 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4395, loss: 0.4395 +2025-07-02 17:07:52,246 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:45:49, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3953, loss: 0.3953 +2025-07-02 17:08:04,976 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 17:08:28,634 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:08:28,644 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9882 +2025-07-02 17:08:28,644 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.8909, top5_acc: 0.9882 +2025-07-02 17:09:06,417 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:45:28, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3635, loss: 0.3635 +2025-07-02 17:09:21,949 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:45:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3246, loss: 0.3246 +2025-07-02 17:09:37,463 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:44:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3427, loss: 0.3427 +2025-07-02 17:09:52,947 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:44:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3562, loss: 0.3562 +2025-07-02 17:10:08,410 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:44:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3708, loss: 0.3708 +2025-07-02 17:10:23,897 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:44:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4453, loss: 0.4453 +2025-07-02 17:10:39,538 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:43:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3435, loss: 0.3435 +2025-07-02 17:10:54,905 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:43:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 0.3901, loss: 0.3901 +2025-07-02 17:11:10,269 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:43:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3703, loss: 0.3703 +2025-07-02 17:11:25,685 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:42:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9912, loss_cls: 0.3688, loss: 0.3688 +2025-07-02 17:11:41,138 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:42:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.3789, loss: 0.3789 +2025-07-02 17:11:54,070 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 17:12:17,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:12:17,103 - pyskl - INFO - +top1_acc 0.9105 +top5_acc 0.9941 +2025-07-02 17:12:17,104 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9105, top5_acc: 0.9941 +2025-07-02 17:12:55,037 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:42:19, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3666, loss: 0.3666 +2025-07-02 17:13:10,656 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:42:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3234, loss: 0.3234 +2025-07-02 17:13:26,133 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:41:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3107, loss: 0.3107 +2025-07-02 17:13:41,691 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:41:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4190, loss: 0.4190 +2025-07-02 17:13:57,229 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:41:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 0.3378, loss: 0.3378 +2025-07-02 17:14:12,708 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:40:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 17:14:28,206 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:40:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3527, loss: 0.3527 +2025-07-02 17:14:43,750 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 17:14:59,413 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3773, loss: 0.3773 +2025-07-02 17:15:15,037 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:39:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 17:15:30,641 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:39:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 0.3828, loss: 0.3828 +2025-07-02 17:15:43,361 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 17:16:05,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:16:06,002 - pyskl - INFO - +top1_acc 0.8062 +top5_acc 0.9652 +2025-07-02 17:16:06,002 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.8062, top5_acc: 0.9652 +2025-07-02 17:16:43,718 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:10, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.3190, loss: 0.3190 +2025-07-02 17:16:59,389 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:38:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 17:17:14,945 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:38:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3604, loss: 0.3604 +2025-07-02 17:17:30,520 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:38:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3658, loss: 0.3658 +2025-07-02 17:17:46,394 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:38:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.3319, loss: 0.3319 +2025-07-02 17:18:02,124 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:37:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3748, loss: 0.3748 +2025-07-02 17:18:17,688 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:37:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3696, loss: 0.3696 +2025-07-02 17:18:33,260 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:37:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 17:18:48,956 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:36:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 17:19:04,503 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:36:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3551, loss: 0.3551 +2025-07-02 17:19:20,036 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3241, loss: 0.3241 +2025-07-02 17:19:32,756 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 17:19:55,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:19:55,531 - pyskl - INFO - +top1_acc 0.8787 +top5_acc 0.9845 +2025-07-02 17:19:55,532 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.8787, top5_acc: 0.9845 +2025-07-02 17:20:32,736 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:36:02, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3441, loss: 0.3441 +2025-07-02 17:20:48,187 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:35:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.3263, loss: 0.3263 +2025-07-02 17:21:03,637 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:35:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3398, loss: 0.3398 +2025-07-02 17:21:19,063 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.3760, loss: 0.3760 +2025-07-02 17:21:34,506 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:34:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3225, loss: 0.3225 +2025-07-02 17:21:50,087 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:34:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.3733, loss: 0.3733 +2025-07-02 17:22:05,530 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3036, loss: 0.3036 +2025-07-02 17:22:20,945 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3283, loss: 0.3283 +2025-07-02 17:22:36,472 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:33:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3614, loss: 0.3614 +2025-07-02 17:22:52,013 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:33:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.4017, loss: 0.4017 +2025-07-02 17:23:07,570 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:33:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3650, loss: 0.3650 +2025-07-02 17:23:20,319 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 17:23:42,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:23:42,896 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9948 +2025-07-02 17:23:42,897 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9098, top5_acc: 0.9948 +2025-07-02 17:24:20,207 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:32:52, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3256, loss: 0.3256 +2025-07-02 17:24:35,840 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:32:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3303, loss: 0.3303 +2025-07-02 17:24:51,441 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:32:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3542, loss: 0.3542 +2025-07-02 17:25:07,016 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:32:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3421, loss: 0.3421 +2025-07-02 17:25:22,602 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:31:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3080, loss: 0.3080 +2025-07-02 17:25:38,194 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:31:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3521, loss: 0.3521 +2025-07-02 17:25:53,635 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3348, loss: 0.3348 +2025-07-02 17:26:09,266 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:30:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3455, loss: 0.3455 +2025-07-02 17:26:24,732 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:30:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.3941, loss: 0.3941 +2025-07-02 17:26:40,129 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3775, loss: 0.3775 +2025-07-02 17:26:55,489 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 0.3537, loss: 0.3537 +2025-07-02 17:27:08,075 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 17:27:30,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:27:30,849 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9889 +2025-07-02 17:27:30,849 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9072, top5_acc: 0.9889 +2025-07-02 17:28:08,037 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:29:42, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.3178, loss: 0.3178 +2025-07-02 17:28:23,635 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2647, loss: 0.2647 +2025-07-02 17:28:39,056 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3296, loss: 0.3296 +2025-07-02 17:28:54,437 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:28:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9988, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 17:29:09,856 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:28:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 0.3283, loss: 0.3283 +2025-07-02 17:29:25,288 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 17:29:40,766 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:28:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.3139, loss: 0.3139 +2025-07-02 17:29:56,315 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:27:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3468, loss: 0.3468 +2025-07-02 17:30:11,817 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:27:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3440, loss: 0.3440 +2025-07-02 17:30:27,365 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3473, loss: 0.3473 +2025-07-02 17:30:42,836 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:26:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3841, loss: 0.3841 +2025-07-02 17:30:55,555 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 17:31:17,824 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:31:17,834 - pyskl - INFO - +top1_acc 0.9053 +top5_acc 0.9937 +2025-07-02 17:31:17,835 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9053, top5_acc: 0.9937 +2025-07-02 17:31:55,232 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:26:32, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2592, loss: 0.2592 +2025-07-02 17:32:10,774 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:26:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 17:32:26,250 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:25:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 17:32:41,767 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:25:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 0.3226, loss: 0.3226 +2025-07-02 17:32:57,409 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3078, loss: 0.3078 +2025-07-02 17:33:12,852 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 17:33:28,331 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:24:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 0.4018, loss: 0.4018 +2025-07-02 17:33:43,825 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:24:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 0.3828, loss: 0.3828 +2025-07-02 17:33:59,285 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 17:34:14,691 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:24:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3197, loss: 0.3197 +2025-07-02 17:34:30,158 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:23:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.3037, loss: 0.3037 +2025-07-02 17:34:42,861 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 17:35:05,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:35:05,853 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9922 +2025-07-02 17:35:05,853 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9057, top5_acc: 0.9922 +2025-07-02 17:35:43,209 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:22, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3142, loss: 0.3142 +2025-07-02 17:35:58,604 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.2961, loss: 0.2961 +2025-07-02 17:36:14,028 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:22:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2870, loss: 0.2870 +2025-07-02 17:36:29,411 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:22:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3455, loss: 0.3455 +2025-07-02 17:36:44,874 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:22:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2908, loss: 0.2908 +2025-07-02 17:37:00,322 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:21:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9931, loss_cls: 0.3177, loss: 0.3177 +2025-07-02 17:37:15,790 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:21:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.2981, loss: 0.2981 +2025-07-02 17:37:31,350 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.3107, loss: 0.3107 +2025-07-02 17:37:46,891 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3159, loss: 0.3159 +2025-07-02 17:38:02,334 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:20:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3500, loss: 0.3500 +2025-07-02 17:38:17,807 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:20:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3302, loss: 0.3302 +2025-07-02 17:38:30,354 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 17:38:53,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:38:53,592 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9919 +2025-07-02 17:38:53,592 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9083, top5_acc: 0.9919 +2025-07-02 17:39:31,432 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:13, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.3070, loss: 0.3070 +2025-07-02 17:39:46,926 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:19:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.3004, loss: 0.3004 +2025-07-02 17:40:02,412 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:19:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3339, loss: 0.3339 +2025-07-02 17:40:17,867 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.2801, loss: 0.2801 +2025-07-02 17:40:33,303 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2900, loss: 0.2900 +2025-07-02 17:40:48,649 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:18:49, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9906, loss_cls: 0.3220, loss: 0.3220 +2025-07-02 17:41:04,110 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:18:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3279, loss: 0.3279 +2025-07-02 17:41:19,606 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3232, loss: 0.3232 +2025-07-02 17:41:35,033 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:17:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.3056, loss: 0.3056 +2025-07-02 17:41:50,569 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:17:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3218, loss: 0.3218 +2025-07-02 17:42:06,142 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2797, loss: 0.2797 +2025-07-02 17:42:19,062 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 17:42:42,821 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:42:42,832 - pyskl - INFO - +top1_acc 0.9068 +top5_acc 0.9948 +2025-07-02 17:42:42,833 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9068, top5_acc: 0.9948 +2025-07-02 17:43:20,245 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:03, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.3179, loss: 0.3179 +2025-07-02 17:43:35,717 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:16:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2678, loss: 0.2678 +2025-07-02 17:43:51,134 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:16:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2747, loss: 0.2747 +2025-07-02 17:44:06,611 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2460, loss: 0.2460 +2025-07-02 17:44:22,161 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:15:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.2859, loss: 0.2859 +2025-07-02 17:44:37,725 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:15:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3238, loss: 0.3238 +2025-07-02 17:44:53,265 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3329, loss: 0.3329 +2025-07-02 17:45:08,828 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2962, loss: 0.2962 +2025-07-02 17:45:24,261 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:14:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3380, loss: 0.3380 +2025-07-02 17:45:39,969 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:14:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 17:45:55,516 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3088, loss: 0.3088 +2025-07-02 17:46:08,206 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 17:46:31,628 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:46:31,638 - pyskl - INFO - +top1_acc 0.9087 +top5_acc 0.9926 +2025-07-02 17:46:31,639 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9087, top5_acc: 0.9926 +2025-07-02 17:47:09,234 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:13:53, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2733, loss: 0.2733 +2025-07-02 17:47:24,708 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:13:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9988, loss_cls: 0.2948, loss: 0.2948 +2025-07-02 17:47:40,238 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3416, loss: 0.3416 +2025-07-02 17:47:55,953 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.2997, loss: 0.2997 +2025-07-02 17:48:11,461 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:12:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3224, loss: 0.3224 +2025-07-02 17:48:26,966 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:12:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3060, loss: 0.3060 +2025-07-02 17:48:42,404 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2924, loss: 0.2924 +2025-07-02 17:48:58,105 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:11:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3376, loss: 0.3376 +2025-07-02 17:49:13,660 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:11:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2963, loss: 0.2963 +2025-07-02 17:49:29,221 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3105, loss: 0.3105 +2025-07-02 17:49:44,735 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 17:49:57,527 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 17:50:21,151 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:50:21,161 - pyskl - INFO - +top1_acc 0.9179 +top5_acc 0.9922 +2025-07-02 17:50:21,165 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_72.pth was removed +2025-07-02 17:50:21,288 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_90.pth. +2025-07-02 17:50:21,288 - pyskl - INFO - Best top1_acc is 0.9179 at 90 epoch. +2025-07-02 17:50:21,289 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9179, top5_acc: 0.9922 +2025-07-02 17:50:59,160 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:10:43, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 17:51:14,695 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 17:51:30,161 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.3159, loss: 0.3159 +2025-07-02 17:51:45,636 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:09:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3003, loss: 0.3003 +2025-07-02 17:52:01,119 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:09:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9925, loss_cls: 0.2850, loss: 0.2850 +2025-07-02 17:52:16,635 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3196, loss: 0.3196 +2025-07-02 17:52:32,141 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2732, loss: 0.2732 +2025-07-02 17:52:47,811 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:08:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3013, loss: 0.3013 +2025-07-02 17:53:03,344 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:08:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3096, loss: 0.3096 +2025-07-02 17:53:19,057 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2978, loss: 0.2978 +2025-07-02 17:53:34,694 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:07:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3189, loss: 0.3189 +2025-07-02 17:53:47,433 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 17:54:11,058 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:54:11,069 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9911 +2025-07-02 17:54:11,069 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.8913, top5_acc: 0.9911 +2025-07-02 17:54:48,908 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:07:34, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2797, loss: 0.2797 +2025-07-02 17:55:04,478 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3010, loss: 0.3010 +2025-07-02 17:55:19,963 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:07:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3019, loss: 0.3019 +2025-07-02 17:55:35,358 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:06:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3211, loss: 0.3211 +2025-07-02 17:55:50,838 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 17:56:06,443 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3089, loss: 0.3089 +2025-07-02 17:56:22,064 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:05:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3295, loss: 0.3295 +2025-07-02 17:56:37,610 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:05:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2999, loss: 0.2999 +2025-07-02 17:56:53,009 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9925, loss_cls: 0.3000, loss: 0.3000 +2025-07-02 17:57:08,479 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2787, loss: 0.2787 +2025-07-02 17:57:24,048 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:04:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2716, loss: 0.2716 +2025-07-02 17:57:36,736 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 17:58:00,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:58:00,012 - pyskl - INFO - +top1_acc 0.9038 +top5_acc 0.9922 +2025-07-02 17:58:00,013 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9038, top5_acc: 0.9922 +2025-07-02 17:58:37,593 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:24, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.2917, loss: 0.2917 +2025-07-02 17:58:53,045 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2704, loss: 0.2704 +2025-07-02 17:59:08,405 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:03:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2867, loss: 0.2867 +2025-07-02 17:59:23,812 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:03:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 17:59:39,285 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2722, loss: 0.2722 +2025-07-02 17:59:54,872 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:03:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.2832, loss: 0.2832 +2025-07-02 18:00:10,512 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:02:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.2915, loss: 0.2915 +2025-07-02 18:00:26,050 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 18:00:41,505 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2841, loss: 0.2841 +2025-07-02 18:00:56,909 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:01:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.2922, loss: 0.2922 +2025-07-02 18:01:12,265 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:01:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3364, loss: 0.3364 +2025-07-02 18:01:25,041 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 18:01:48,283 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:01:48,294 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9885 +2025-07-02 18:01:48,294 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.8846, top5_acc: 0.9885 +2025-07-02 18:02:26,126 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:14, time: 0.378, data_time: 0.221, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2909, loss: 0.2909 +2025-07-02 18:02:41,574 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:00:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2091, loss: 0.2091 +2025-07-02 18:02:56,974 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:00:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 18:03:12,393 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2572, loss: 0.2572 +2025-07-02 18:03:27,852 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2485, loss: 0.2485 +2025-07-02 18:03:43,295 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 2:59:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 0.2685, loss: 0.2685 +2025-07-02 18:03:58,766 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 2:59:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2660, loss: 0.2660 +2025-07-02 18:04:14,264 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.2978, loss: 0.2978 +2025-07-02 18:04:29,823 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:59:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2995, loss: 0.2995 +2025-07-02 18:04:45,196 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:58:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3098, loss: 0.3098 +2025-07-02 18:05:00,584 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2913, loss: 0.2913 +2025-07-02 18:05:13,234 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 18:05:37,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:05:37,018 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9893 +2025-07-02 18:05:37,018 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.8961, top5_acc: 0.9893 +2025-07-02 18:06:14,707 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:03, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2528, loss: 0.2528 +2025-07-02 18:06:30,127 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:57:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2148, loss: 0.2148 +2025-07-02 18:06:45,540 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:57:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2596, loss: 0.2596 +2025-07-02 18:07:01,007 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2445, loss: 0.2445 +2025-07-02 18:07:16,537 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:56:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2633, loss: 0.2633 +2025-07-02 18:07:32,075 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:56:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2565, loss: 0.2565 +2025-07-02 18:07:47,648 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2556, loss: 0.2556 +2025-07-02 18:08:03,281 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2645, loss: 0.2645 +2025-07-02 18:08:18,852 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:55:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3088, loss: 0.3088 +2025-07-02 18:08:34,442 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:55:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3184, loss: 0.3184 +2025-07-02 18:08:50,010 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.2941, loss: 0.2941 +2025-07-02 18:09:02,597 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 18:09:25,945 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:09:25,955 - pyskl - INFO - +top1_acc 0.9053 +top5_acc 0.9896 +2025-07-02 18:09:25,955 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9053, top5_acc: 0.9896 +2025-07-02 18:10:03,430 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:54:53, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2018, loss: 0.2018 +2025-07-02 18:10:18,912 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:54:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2302, loss: 0.2302 +2025-07-02 18:10:34,373 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2468, loss: 0.2468 +2025-07-02 18:10:49,866 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9931, loss_cls: 0.2794, loss: 0.2794 +2025-07-02 18:11:05,466 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:53:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2206, loss: 0.2206 +2025-07-02 18:11:20,938 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:53:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2367, loss: 0.2367 +2025-07-02 18:11:36,464 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2630, loss: 0.2630 +2025-07-02 18:11:51,955 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:52:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2286, loss: 0.2286 +2025-07-02 18:12:07,485 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:52:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 1.0000, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 18:12:22,926 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2560, loss: 0.2560 +2025-07-02 18:12:38,426 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 18:12:51,219 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 18:13:14,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:13:14,795 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9948 +2025-07-02 18:13:14,796 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9172, top5_acc: 0.9948 +2025-07-02 18:13:52,282 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:51:43, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2308, loss: 0.2308 +2025-07-02 18:14:07,889 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2107, loss: 0.2107 +2025-07-02 18:14:23,419 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2211, loss: 0.2211 +2025-07-02 18:14:38,957 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:50:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2567, loss: 0.2567 +2025-07-02 18:14:54,522 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:50:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2466, loss: 0.2466 +2025-07-02 18:15:10,188 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2226, loss: 0.2226 +2025-07-02 18:15:25,788 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2784, loss: 0.2784 +2025-07-02 18:15:41,270 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:49:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3073, loss: 0.3073 +2025-07-02 18:15:56,780 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2785, loss: 0.2785 +2025-07-02 18:16:12,391 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9925, loss_cls: 0.2958, loss: 0.2958 +2025-07-02 18:16:27,739 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:48:57, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2545, loss: 0.2545 +2025-07-02 18:16:40,420 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 18:17:03,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:17:03,994 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9889 +2025-07-02 18:17:03,995 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9090, top5_acc: 0.9889 +2025-07-02 18:17:41,600 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:48:33, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2470, loss: 0.2470 +2025-07-02 18:17:57,152 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2249, loss: 0.2249 +2025-07-02 18:18:12,765 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:48:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2108, loss: 0.2108 +2025-07-02 18:18:28,210 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:47:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2685, loss: 0.2685 +2025-07-02 18:18:43,622 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2506, loss: 0.2506 +2025-07-02 18:18:59,107 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2407, loss: 0.2407 +2025-07-02 18:19:14,586 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:46:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2332, loss: 0.2332 +2025-07-02 18:19:30,012 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:46:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2573, loss: 0.2573 +2025-07-02 18:19:45,608 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2215, loss: 0.2215 +2025-07-02 18:20:01,248 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2612, loss: 0.2612 +2025-07-02 18:20:17,059 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:45:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2134, loss: 0.2134 +2025-07-02 18:20:30,014 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 18:20:53,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:20:53,794 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9915 +2025-07-02 18:20:53,798 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_90.pth was removed +2025-07-02 18:20:53,911 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 18:20:53,911 - pyskl - INFO - Best top1_acc is 0.9220 at 98 epoch. +2025-07-02 18:20:53,912 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9220, top5_acc: 0.9915 +2025-07-02 18:21:31,542 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:23, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2161, loss: 0.2161 +2025-07-02 18:21:47,179 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2222, loss: 0.2222 +2025-07-02 18:22:02,756 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:44:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9994, loss_cls: 0.2519, loss: 0.2519 +2025-07-02 18:22:18,314 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:44:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3053, loss: 0.3053 +2025-07-02 18:22:33,978 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2605, loss: 0.2605 +2025-07-02 18:22:49,608 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:44:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2521, loss: 0.2521 +2025-07-02 18:23:05,164 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:43:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2273, loss: 0.2273 +2025-07-02 18:23:20,775 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2425, loss: 0.2425 +2025-07-02 18:23:36,509 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.2658, loss: 0.2658 +2025-07-02 18:23:52,116 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:42:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.2885, loss: 0.2885 +2025-07-02 18:24:07,699 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:42:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2510, loss: 0.2510 +2025-07-02 18:24:20,412 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 18:24:44,119 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:24:44,130 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9952 +2025-07-02 18:24:44,130 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9131, top5_acc: 0.9952 +2025-07-02 18:25:22,270 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:13, time: 0.381, data_time: 0.222, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2204, loss: 0.2204 +2025-07-02 18:25:37,814 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:41:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2038, loss: 0.2038 +2025-07-02 18:25:53,319 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:41:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1818, loss: 0.1818 +2025-07-02 18:26:08,943 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2401, loss: 0.2401 +2025-07-02 18:26:24,549 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2303, loss: 0.2303 +2025-07-02 18:26:40,485 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:40:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2305, loss: 0.2305 +2025-07-02 18:26:56,198 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2270, loss: 0.2270 +2025-07-02 18:27:11,851 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2641, loss: 0.2641 +2025-07-02 18:27:27,402 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:40:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2101, loss: 0.2101 +2025-07-02 18:27:43,053 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:39:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2415, loss: 0.2415 +2025-07-02 18:27:58,758 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2240, loss: 0.2240 +2025-07-02 18:28:11,562 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 18:28:34,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:28:34,974 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9952 +2025-07-02 18:28:34,980 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_98.pth was removed +2025-07-02 18:28:35,099 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. +2025-07-02 18:28:35,099 - pyskl - INFO - Best top1_acc is 0.9223 at 100 epoch. +2025-07-02 18:28:35,100 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9223, top5_acc: 0.9952 +2025-07-02 18:29:12,874 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:04, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1891, loss: 0.1891 +2025-07-02 18:29:28,367 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:38:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1996, loss: 0.1996 +2025-07-02 18:29:43,896 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2423, loss: 0.2423 +2025-07-02 18:29:59,384 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.1971, loss: 0.1971 +2025-07-02 18:30:14,963 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:37:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1867, loss: 0.1867 +2025-07-02 18:30:30,582 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:37:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2303, loss: 0.2303 +2025-07-02 18:30:46,135 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2393, loss: 0.2393 +2025-07-02 18:31:01,846 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2489, loss: 0.2489 +2025-07-02 18:31:17,444 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:36:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2370, loss: 0.2370 +2025-07-02 18:31:33,038 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2239, loss: 0.2239 +2025-07-02 18:31:48,704 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2512, loss: 0.2512 +2025-07-02 18:32:01,507 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 18:32:24,439 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:32:24,450 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9956 +2025-07-02 18:32:24,451 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9201, top5_acc: 0.9956 +2025-07-02 18:33:02,142 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:35:54, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1801, loss: 0.1801 +2025-07-02 18:33:17,678 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1763, loss: 0.1763 +2025-07-02 18:33:33,105 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1704, loss: 0.1704 +2025-07-02 18:33:48,481 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9944, loss_cls: 0.1949, loss: 0.1949 +2025-07-02 18:34:04,112 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:34:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1911, loss: 0.1911 +2025-07-02 18:34:19,751 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2217, loss: 0.2217 +2025-07-02 18:34:35,299 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9956, loss_cls: 0.1770, loss: 0.1770 +2025-07-02 18:34:50,769 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:33:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2281, loss: 0.2281 +2025-07-02 18:35:06,298 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:33:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2397, loss: 0.2397 +2025-07-02 18:35:21,865 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 18:35:37,548 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2412, loss: 0.2412 +2025-07-02 18:35:50,335 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 18:36:13,776 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:36:13,786 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9948 +2025-07-02 18:36:13,786 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9168, top5_acc: 0.9948 +2025-07-02 18:36:51,266 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:32:43, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1632, loss: 0.1632 +2025-07-02 18:37:06,737 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1919, loss: 0.1919 +2025-07-02 18:37:22,175 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2146, loss: 0.2146 +2025-07-02 18:37:37,597 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:31:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2506, loss: 0.2506 +2025-07-02 18:37:53,123 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2048, loss: 0.2048 +2025-07-02 18:38:08,658 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 18:38:24,175 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2465, loss: 0.2465 +2025-07-02 18:38:39,679 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:30:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1966, loss: 0.1966 +2025-07-02 18:38:55,310 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1887, loss: 0.1887 +2025-07-02 18:39:10,888 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2185, loss: 0.2185 +2025-07-02 18:39:26,527 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:29:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1914, loss: 0.1914 +2025-07-02 18:39:39,296 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 18:40:02,859 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:40:02,869 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9945 +2025-07-02 18:40:02,869 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9205, top5_acc: 0.9945 +2025-07-02 18:40:40,953 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:33, time: 0.381, data_time: 0.220, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1958, loss: 0.1958 +2025-07-02 18:40:56,648 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1912, loss: 0.1912 +2025-07-02 18:41:12,231 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1716, loss: 0.1716 +2025-07-02 18:41:27,759 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:28:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1905, loss: 0.1905 +2025-07-02 18:41:43,310 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 18:41:58,762 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1860, loss: 0.1860 +2025-07-02 18:42:14,308 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:27:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.1952, loss: 0.1952 +2025-07-02 18:42:29,774 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2132, loss: 0.2132 +2025-07-02 18:42:45,184 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1963, loss: 0.1963 +2025-07-02 18:43:00,742 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2298, loss: 0.2298 +2025-07-02 18:43:16,329 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:26:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2290, loss: 0.2290 +2025-07-02 18:43:28,978 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 18:43:52,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:43:52,393 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9948 +2025-07-02 18:43:52,397 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_100.pth was removed +2025-07-02 18:43:52,520 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-02 18:43:52,521 - pyskl - INFO - Best top1_acc is 0.9297 at 104 epoch. +2025-07-02 18:43:52,522 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9297, top5_acc: 0.9948 +2025-07-02 18:44:30,206 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:22, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1454, loss: 0.1454 +2025-07-02 18:44:45,638 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1415, loss: 0.1415 +2025-07-02 18:45:01,048 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:25:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1858, loss: 0.1858 +2025-07-02 18:45:16,481 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2043, loss: 0.2043 +2025-07-02 18:45:32,005 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1734, loss: 0.1734 +2025-07-02 18:45:47,492 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:24:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2390, loss: 0.2390 +2025-07-02 18:46:03,029 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:24:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2004, loss: 0.2004 +2025-07-02 18:46:18,712 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2065, loss: 0.2065 +2025-07-02 18:46:34,311 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2092, loss: 0.2092 +2025-07-02 18:46:49,749 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:23:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1921, loss: 0.1921 +2025-07-02 18:47:05,249 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1668, loss: 0.1668 +2025-07-02 18:47:18,011 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 18:47:41,360 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:47:41,371 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9948 +2025-07-02 18:47:41,371 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9234, top5_acc: 0.9948 +2025-07-02 18:48:18,826 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:12, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1895, loss: 0.1895 +2025-07-02 18:48:34,337 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:22:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1720, loss: 0.1720 +2025-07-02 18:48:49,764 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1815, loss: 0.1815 +2025-07-02 18:49:05,207 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1999, loss: 0.1999 +2025-07-02 18:49:20,723 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1813, loss: 0.1813 +2025-07-02 18:49:36,312 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:21:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1954, loss: 0.1954 +2025-07-02 18:49:51,838 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1860, loss: 0.1860 +2025-07-02 18:50:07,416 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1921, loss: 0.1921 +2025-07-02 18:50:22,803 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:20:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2136, loss: 0.2136 +2025-07-02 18:50:38,522 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:20:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.1844, loss: 0.1844 +2025-07-02 18:50:54,301 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1830, loss: 0.1830 +2025-07-02 18:51:07,061 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 18:51:30,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:51:30,690 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9941 +2025-07-02 18:51:30,691 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9172, top5_acc: 0.9941 +2025-07-02 18:52:08,549 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:01, time: 0.379, data_time: 0.222, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2375, loss: 0.2375 +2025-07-02 18:52:23,955 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:19:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1795, loss: 0.1795 +2025-07-02 18:52:39,346 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2159, loss: 0.2159 +2025-07-02 18:52:54,730 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2040, loss: 0.2040 +2025-07-02 18:53:10,181 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:18:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1544, loss: 0.1544 +2025-07-02 18:53:25,730 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 18:53:41,186 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1627, loss: 0.1627 +2025-07-02 18:53:56,681 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1346, loss: 0.1346 +2025-07-02 18:54:12,220 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:17:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2122, loss: 0.2122 +2025-07-02 18:54:27,802 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1534, loss: 0.1534 +2025-07-02 18:54:43,380 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2400, loss: 0.2400 +2025-07-02 18:54:56,179 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 18:55:19,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:55:19,419 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9922 +2025-07-02 18:55:19,420 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9131, top5_acc: 0.9922 +2025-07-02 18:55:57,207 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:16:50, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1829, loss: 0.1829 +2025-07-02 18:56:12,691 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1677, loss: 0.1677 +2025-07-02 18:56:28,180 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 18:56:43,693 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.1935, loss: 0.1935 +2025-07-02 18:56:59,164 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:15:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 18:57:14,672 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1777, loss: 0.1777 +2025-07-02 18:57:30,199 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2172, loss: 0.2172 +2025-07-02 18:57:45,874 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:14:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1564, loss: 0.1564 +2025-07-02 18:58:01,393 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1502, loss: 0.1502 +2025-07-02 18:58:16,827 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1705, loss: 0.1705 +2025-07-02 18:58:32,365 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1871, loss: 0.1871 +2025-07-02 18:58:45,094 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 18:59:08,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:59:08,790 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9915 +2025-07-02 18:59:08,790 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9197, top5_acc: 0.9915 +2025-07-02 18:59:46,540 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:40, time: 0.377, data_time: 0.220, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1563, loss: 0.1563 +2025-07-02 19:00:02,089 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1405, loss: 0.1405 +2025-07-02 19:00:17,674 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1745, loss: 0.1745 +2025-07-02 19:00:33,124 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:12:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2104, loss: 0.2104 +2025-07-02 19:00:48,611 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1712, loss: 0.1712 +2025-07-02 19:01:04,135 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.1981, loss: 0.1981 +2025-07-02 19:01:19,629 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2039, loss: 0.2039 +2025-07-02 19:01:35,052 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:11:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2046, loss: 0.2046 +2025-07-02 19:01:50,448 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1419, loss: 0.1419 +2025-07-02 19:02:05,867 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1470, loss: 0.1470 +2025-07-02 19:02:21,424 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:10:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1737, loss: 0.1737 +2025-07-02 19:02:34,047 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 19:02:57,300 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:02:57,310 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9948 +2025-07-02 19:02:57,311 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9275, top5_acc: 0.9948 +2025-07-02 19:03:35,025 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:29, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1489, loss: 0.1489 +2025-07-02 19:03:50,500 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1279, loss: 0.1279 +2025-07-02 19:04:05,949 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:09:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1401, loss: 0.1401 +2025-07-02 19:04:21,378 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1545, loss: 0.1545 +2025-07-02 19:04:36,868 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1447, loss: 0.1447 +2025-07-02 19:04:52,355 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 19:05:07,846 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:08:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1402, loss: 0.1402 +2025-07-02 19:05:23,374 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1473, loss: 0.1473 +2025-07-02 19:05:38,934 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1509, loss: 0.1509 +2025-07-02 19:05:54,446 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1596, loss: 0.1596 +2025-07-02 19:06:10,009 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:07:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 19:06:22,794 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 19:06:46,272 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:06:46,282 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9937 +2025-07-02 19:06:46,286 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_104.pth was removed +2025-07-02 19:06:46,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 19:06:46,411 - pyskl - INFO - Best top1_acc is 0.9301 at 110 epoch. +2025-07-02 19:06:46,412 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9301, top5_acc: 0.9937 +2025-07-02 19:07:23,949 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:18, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1532, loss: 0.1532 +2025-07-02 19:07:39,516 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1380, loss: 0.1380 +2025-07-02 19:07:54,994 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:06:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1791, loss: 0.1791 +2025-07-02 19:08:10,439 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1580, loss: 0.1580 +2025-07-02 19:08:25,879 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1667, loss: 0.1667 +2025-07-02 19:08:41,315 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:05:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1639, loss: 0.1639 +2025-07-02 19:08:56,800 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1698, loss: 0.1698 +2025-07-02 19:09:12,302 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1502, loss: 0.1502 +2025-07-02 19:09:27,777 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1758, loss: 0.1758 +2025-07-02 19:09:43,235 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:04:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1242, loss: 0.1242 +2025-07-02 19:09:58,833 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1705, loss: 0.1705 +2025-07-02 19:10:11,495 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 19:10:34,783 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:10:34,794 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9922 +2025-07-02 19:10:34,794 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9242, top5_acc: 0.9922 +2025-07-02 19:11:12,485 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:07, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1481, loss: 0.1481 +2025-07-02 19:11:27,869 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:03:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1314, loss: 0.1314 +2025-07-02 19:11:43,253 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1219, loss: 0.1219 +2025-07-02 19:11:58,616 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1237, loss: 0.1237 +2025-07-02 19:12:14,030 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1301, loss: 0.1301 +2025-07-02 19:12:29,529 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:02:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1677, loss: 0.1677 +2025-07-02 19:12:44,949 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1239, loss: 0.1239 +2025-07-02 19:13:00,591 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1485, loss: 0.1485 +2025-07-02 19:13:16,168 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:01:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1457, loss: 0.1457 +2025-07-02 19:13:31,769 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1534, loss: 0.1534 +2025-07-02 19:13:47,509 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 19:14:00,247 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 19:14:23,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:14:23,817 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9956 +2025-07-02 19:14:23,818 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9301, top5_acc: 0.9956 +2025-07-02 19:15:01,530 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:00:56, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1632, loss: 0.1632 +2025-07-02 19:15:16,999 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1465, loss: 0.1465 +2025-07-02 19:15:32,500 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1296, loss: 0.1296 +2025-07-02 19:15:47,953 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1541, loss: 0.1541 +2025-07-02 19:16:03,438 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 1:59:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1153, loss: 0.1153 +2025-07-02 19:16:19,047 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1288, loss: 0.1288 +2025-07-02 19:16:34,547 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1190, loss: 0.1190 +2025-07-02 19:16:50,162 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1407, loss: 0.1407 +2025-07-02 19:17:05,614 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:58:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1166, loss: 0.1166 +2025-07-02 19:17:21,102 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1422, loss: 0.1422 +2025-07-02 19:17:36,646 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1206, loss: 0.1206 +2025-07-02 19:17:49,478 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 19:18:12,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:18:12,633 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9922 +2025-07-02 19:18:12,633 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9231, top5_acc: 0.9922 +2025-07-02 19:18:50,403 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:57:45, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1181, loss: 0.1181 +2025-07-02 19:19:05,821 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1323, loss: 0.1323 +2025-07-02 19:19:21,254 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1232, loss: 0.1232 +2025-07-02 19:19:36,704 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:56:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1257, loss: 0.1257 +2025-07-02 19:19:52,223 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1337, loss: 0.1337 +2025-07-02 19:20:07,750 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 19:20:23,161 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 19:20:38,694 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:55:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1544, loss: 0.1544 +2025-07-02 19:20:54,113 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1087, loss: 0.1087 +2025-07-02 19:21:09,561 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1319, loss: 0.1319 +2025-07-02 19:21:25,167 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1336, loss: 0.1336 +2025-07-02 19:21:37,908 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 19:22:01,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:22:01,763 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9945 +2025-07-02 19:22:01,767 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_110.pth was removed +2025-07-02 19:22:01,889 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-07-02 19:22:01,890 - pyskl - INFO - Best top1_acc is 0.9345 at 114 epoch. +2025-07-02 19:22:01,891 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9345, top5_acc: 0.9945 +2025-07-02 19:22:39,621 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:34, time: 0.377, data_time: 0.220, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1385, loss: 0.1385 +2025-07-02 19:22:55,115 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1113, loss: 0.1113 +2025-07-02 19:23:10,610 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1019, loss: 0.1019 +2025-07-02 19:23:26,112 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:53:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1123, loss: 0.1123 +2025-07-02 19:23:41,642 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1002, loss: 0.1002 +2025-07-02 19:23:57,337 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1290, loss: 0.1290 +2025-07-02 19:24:13,063 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:52:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1276, loss: 0.1276 +2025-07-02 19:24:28,774 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 19:24:44,249 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1163, loss: 0.1163 +2025-07-02 19:24:59,626 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1337, loss: 0.1337 +2025-07-02 19:25:15,092 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:51:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1445, loss: 0.1445 +2025-07-02 19:25:27,768 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 19:25:51,207 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:25:51,217 - pyskl - INFO - +top1_acc 0.9320 +top5_acc 0.9952 +2025-07-02 19:25:51,218 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9320, top5_acc: 0.9952 +2025-07-02 19:26:28,675 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:23, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1196, loss: 0.1196 +2025-07-02 19:26:44,140 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1288, loss: 0.1288 +2025-07-02 19:26:59,640 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:50:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1140, loss: 0.1140 +2025-07-02 19:27:15,295 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0943, loss: 0.0943 +2025-07-02 19:27:30,851 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0900, loss: 0.0900 +2025-07-02 19:27:46,264 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1447, loss: 0.1447 +2025-07-02 19:28:01,564 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:44, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1325, loss: 0.1325 +2025-07-02 19:28:16,962 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1320, loss: 0.1320 +2025-07-02 19:28:32,397 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1290, loss: 0.1290 +2025-07-02 19:28:47,835 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:48:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1200, loss: 0.1200 +2025-07-02 19:29:03,234 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 19:29:15,845 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 19:29:39,718 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:29:39,728 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9952 +2025-07-02 19:29:39,729 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9242, top5_acc: 0.9952 +2025-07-02 19:30:17,275 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:12, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 19:30:32,907 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:47:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1050, loss: 0.1050 +2025-07-02 19:30:48,531 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 19:31:04,105 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1101, loss: 0.1101 +2025-07-02 19:31:19,661 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1122, loss: 0.1122 +2025-07-02 19:31:35,155 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:46:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 19:31:50,568 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1166, loss: 0.1166 +2025-07-02 19:32:05,985 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0884, loss: 0.0884 +2025-07-02 19:32:21,616 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 19:32:37,130 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1111, loss: 0.1111 +2025-07-02 19:32:52,641 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1337, loss: 0.1337 +2025-07-02 19:33:05,422 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 19:33:28,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:33:28,682 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9945 +2025-07-02 19:33:28,682 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9242, top5_acc: 0.9945 +2025-07-02 19:34:06,056 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:01, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1011, loss: 0.1011 +2025-07-02 19:34:21,495 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1296, loss: 0.1296 +2025-07-02 19:34:36,987 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1267, loss: 0.1267 +2025-07-02 19:34:52,494 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1192, loss: 0.1192 +2025-07-02 19:35:08,034 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:43:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0809, loss: 0.0809 +2025-07-02 19:35:23,557 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 19:35:39,177 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 19:35:54,809 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1150, loss: 0.1150 +2025-07-02 19:36:10,298 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:42:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1155, loss: 0.1155 +2025-07-02 19:36:25,777 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1111, loss: 0.1111 +2025-07-02 19:36:41,238 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 19:36:54,028 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 19:37:17,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:37:17,590 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9948 +2025-07-02 19:37:17,591 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9327, top5_acc: 0.9948 +2025-07-02 19:37:55,319 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:41:50, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1181, loss: 0.1181 +2025-07-02 19:38:10,776 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0891, loss: 0.0891 +2025-07-02 19:38:26,193 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0899, loss: 0.0899 +2025-07-02 19:38:41,628 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1019, loss: 0.1019 +2025-07-02 19:38:57,037 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 19:39:12,715 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 19:39:28,406 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1230, loss: 0.1230 +2025-07-02 19:39:43,928 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:39:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 19:39:59,428 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 19:40:14,858 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0982, loss: 0.0982 +2025-07-02 19:40:30,323 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1257, loss: 0.1257 +2025-07-02 19:40:43,016 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 19:41:06,235 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:41:06,246 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9930 +2025-07-02 19:41:06,246 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9253, top5_acc: 0.9930 +2025-07-02 19:41:43,553 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:38, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 19:41:59,083 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0786, loss: 0.0786 +2025-07-02 19:42:14,554 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0945, loss: 0.0945 +2025-07-02 19:42:30,027 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:37:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0877, loss: 0.0877 +2025-07-02 19:42:45,566 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0724, loss: 0.0724 +2025-07-02 19:43:01,168 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0912, loss: 0.0912 +2025-07-02 19:43:16,641 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1324, loss: 0.1324 +2025-07-02 19:43:32,127 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 19:43:47,686 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1091, loss: 0.1091 +2025-07-02 19:44:03,145 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1158, loss: 0.1158 +2025-07-02 19:44:18,668 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:35:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1305, loss: 0.1305 +2025-07-02 19:44:31,409 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 19:44:54,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:44:54,611 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9963 +2025-07-02 19:44:54,611 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9264, top5_acc: 0.9963 +2025-07-02 19:45:32,382 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:27, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 19:45:47,917 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 19:46:03,453 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:34:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 19:46:19,027 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0954, loss: 0.0954 +2025-07-02 19:46:34,544 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 19:46:50,056 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0870, loss: 0.0870 +2025-07-02 19:47:05,549 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:33:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 19:47:21,029 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0979, loss: 0.0979 +2025-07-02 19:47:36,495 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 19:47:51,957 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:32:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 19:48:07,431 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 19:48:20,146 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 19:48:43,405 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:48:43,415 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9956 +2025-07-02 19:48:43,419 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_114.pth was removed +2025-07-02 19:48:43,537 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 19:48:43,538 - pyskl - INFO - Best top1_acc is 0.9371 at 121 epoch. +2025-07-02 19:48:43,539 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9371, top5_acc: 0.9956 +2025-07-02 19:49:21,053 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:16, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 19:49:36,576 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0757, loss: 0.0757 +2025-07-02 19:49:52,059 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0753, loss: 0.0753 +2025-07-02 19:50:07,438 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 19:50:22,880 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 19:50:38,355 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:30:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.0993, loss: 0.0993 +2025-07-02 19:50:53,759 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 19:51:09,144 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0605, loss: 0.0605 +2025-07-02 19:51:24,601 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0785, loss: 0.0785 +2025-07-02 19:51:40,119 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:29:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 19:51:55,810 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0753, loss: 0.0753 +2025-07-02 19:52:08,642 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 19:52:31,705 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:52:31,715 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9941 +2025-07-02 19:52:31,719 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_121.pth was removed +2025-07-02 19:52:31,841 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-07-02 19:52:31,842 - pyskl - INFO - Best top1_acc is 0.9382 at 122 epoch. +2025-07-02 19:52:31,843 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9382, top5_acc: 0.9941 +2025-07-02 19:53:09,725 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:05, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0567, loss: 0.0567 +2025-07-02 19:53:25,318 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:28:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 19:53:40,921 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0691, loss: 0.0691 +2025-07-02 19:53:56,437 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 19:54:11,937 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:27:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 19:54:27,544 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 19:54:43,350 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 19:54:58,889 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0661, loss: 0.0661 +2025-07-02 19:55:14,692 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:26:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 19:55:30,147 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0813, loss: 0.0813 +2025-07-02 19:55:45,680 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 19:55:58,430 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 19:56:21,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:56:21,281 - pyskl - INFO - +top1_acc 0.9342 +top5_acc 0.9945 +2025-07-02 19:56:21,281 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9342, top5_acc: 0.9945 +2025-07-02 19:56:58,711 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:25:54, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9969, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 19:57:14,305 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0639, loss: 0.0639 +2025-07-02 19:57:29,936 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 19:57:45,553 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0836, loss: 0.0836 +2025-07-02 19:58:01,106 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:24:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 19:58:16,653 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0778, loss: 0.0778 +2025-07-02 19:58:32,240 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 19:58:47,789 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:23:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0660, loss: 0.0660 +2025-07-02 19:59:03,358 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1135, loss: 0.1135 +2025-07-02 19:59:18,858 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0669, loss: 0.0669 +2025-07-02 19:59:34,333 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0724, loss: 0.0724 +2025-07-02 19:59:47,146 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 20:00:10,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:00:10,203 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9937 +2025-07-02 20:00:10,203 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9268, top5_acc: 0.9937 +2025-07-02 20:00:47,400 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:43, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0595, loss: 0.0595 +2025-07-02 20:01:02,826 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 20:01:18,210 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 20:01:33,576 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:21:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0700, loss: 0.0700 +2025-07-02 20:01:48,937 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 20:02:04,366 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 20:02:19,961 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0550, loss: 0.0550 +2025-07-02 20:02:35,498 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 20:02:51,002 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 20:03:06,468 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 20:03:21,930 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:19:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 20:03:34,624 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 20:03:57,420 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:03:57,430 - pyskl - INFO - +top1_acc 0.9294 +top5_acc 0.9952 +2025-07-02 20:03:57,430 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9294, top5_acc: 0.9952 +2025-07-02 20:04:35,049 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:31, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 20:04:50,462 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 20:05:05,901 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:18:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0778, loss: 0.0778 +2025-07-02 20:05:21,275 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0657, loss: 0.0657 +2025-07-02 20:05:36,658 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 20:05:52,054 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 20:06:07,512 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:17:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0735, loss: 0.0735 +2025-07-02 20:06:22,987 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 20:06:38,418 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 20:06:54,095 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 20:07:09,611 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 20:07:22,354 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 20:07:45,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:07:45,372 - pyskl - INFO - +top1_acc 0.9342 +top5_acc 0.9952 +2025-07-02 20:07:45,372 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9342, top5_acc: 0.9952 +2025-07-02 20:08:23,239 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:20, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 20:08:38,755 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 20:08:54,292 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 20:09:09,792 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 20:09:25,283 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 20:09:40,784 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:14:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 20:09:56,319 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0539, loss: 0.0539 +2025-07-02 20:10:11,838 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 20:10:27,388 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 20:10:42,903 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:13:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 20:10:58,428 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 20:11:11,151 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 20:11:34,225 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:11:34,235 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9922 +2025-07-02 20:11:34,235 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9331, top5_acc: 0.9922 +2025-07-02 20:12:11,719 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:09, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 20:12:27,207 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:12:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:12:42,668 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 20:12:58,084 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0645, loss: 0.0645 +2025-07-02 20:13:13,459 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 20:13:28,822 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 20:13:44,219 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 20:13:59,638 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0529, loss: 0.0529 +2025-07-02 20:14:15,069 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:10:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0655, loss: 0.0655 +2025-07-02 20:14:30,471 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 20:14:45,913 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 20:14:58,515 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 20:15:21,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:15:21,885 - pyskl - INFO - +top1_acc 0.9320 +top5_acc 0.9937 +2025-07-02 20:15:21,886 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9320, top5_acc: 0.9937 +2025-07-02 20:15:59,509 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:09:57, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:16:15,040 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 20:16:30,417 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 20:16:45,781 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 20:17:01,168 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:08:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 20:17:16,538 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 20:17:31,974 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 20:17:47,402 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 20:18:02,891 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 20:18:18,363 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 20:18:33,722 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 20:18:46,409 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 20:19:10,337 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:19:10,348 - pyskl - INFO - +top1_acc 0.9401 +top5_acc 0.9941 +2025-07-02 20:19:10,351 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_122.pth was removed +2025-07-02 20:19:10,468 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 20:19:10,469 - pyskl - INFO - Best top1_acc is 0.9401 at 129 epoch. +2025-07-02 20:19:10,469 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9401, top5_acc: 0.9941 +2025-07-02 20:19:47,967 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:46, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 20:20:03,433 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 20:20:18,809 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 20:20:34,180 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:05:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0711, loss: 0.0711 +2025-07-02 20:20:49,556 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 20:21:04,948 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 20:21:20,423 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 20:21:35,881 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:04:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 20:21:51,413 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 20:22:06,875 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 20:22:22,204 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:02, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 20:22:34,853 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 20:22:58,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:22:58,204 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9948 +2025-07-02 20:22:58,204 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9360, top5_acc: 0.9948 +2025-07-02 20:23:35,887 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:34, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 20:23:51,278 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 20:24:06,710 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 20:24:22,260 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 20:24:37,846 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 20:24:53,420 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 20:25:09,317 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:01:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 20:25:24,813 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 20:25:40,294 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 20:25:55,784 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 20:26:11,245 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:00:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 20:26:23,904 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 20:26:47,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:26:47,128 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9945 +2025-07-02 20:26:47,132 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_129.pth was removed +2025-07-02 20:26:47,251 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 20:26:47,252 - pyskl - INFO - Best top1_acc is 0.9412 at 131 epoch. +2025-07-02 20:26:47,252 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9412, top5_acc: 0.9945 +2025-07-02 20:27:24,946 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:23, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 20:27:40,435 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 20:27:55,912 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9975, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 20:28:11,407 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 20:28:26,810 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 20:28:42,281 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 20:28:57,969 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 20:29:13,798 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 20:29:29,445 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 20:29:44,928 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:57:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 20:30:00,322 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 20:30:13,103 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 20:30:36,221 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:30:36,231 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9956 +2025-07-02 20:30:36,232 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9408, top5_acc: 0.9956 +2025-07-02 20:31:13,722 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:11, time: 0.375, data_time: 0.218, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0575, loss: 0.0575 +2025-07-02 20:31:29,156 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:56:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 20:31:44,589 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 20:31:59,987 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:32:15,377 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 20:32:30,749 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 20:32:46,396 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0548, loss: 0.0548 +2025-07-02 20:33:01,928 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 20:33:17,507 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 20:33:33,019 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 20:33:48,457 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:28, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 20:34:01,135 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 20:34:24,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:34:24,821 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9945 +2025-07-02 20:34:24,824 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_131.pth was removed +2025-07-02 20:34:24,942 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 20:34:24,943 - pyskl - INFO - Best top1_acc is 0.9423 at 133 epoch. +2025-07-02 20:34:24,943 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9423, top5_acc: 0.9945 +2025-07-02 20:35:02,893 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:00, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 20:35:18,344 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 20:35:33,859 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 20:35:49,421 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 20:36:05,006 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:52:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 20:36:20,502 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 20:36:36,123 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 20:36:51,740 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 20:37:07,312 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 20:37:22,844 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 20:37:38,322 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 20:37:50,996 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 20:38:14,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:38:14,810 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9937 +2025-07-02 20:38:14,814 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_133.pth was removed +2025-07-02 20:38:14,934 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 20:38:14,935 - pyskl - INFO - Best top1_acc is 0.9427 at 134 epoch. +2025-07-02 20:38:14,936 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9427, top5_acc: 0.9937 +2025-07-02 20:38:52,869 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:49, time: 0.379, data_time: 0.222, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 20:39:08,384 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 20:39:23,864 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 20:39:39,244 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 20:39:54,649 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 20:40:10,049 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 20:40:25,555 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:40:40,957 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:48:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 20:40:56,394 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:41:12,044 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 20:41:27,707 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 20:41:40,516 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 20:42:04,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:42:04,340 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9941 +2025-07-02 20:42:04,341 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9368, top5_acc: 0.9941 +2025-07-02 20:42:41,857 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:37, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 20:42:57,339 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 20:43:12,788 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 20:43:28,216 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 20:43:43,676 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 20:43:59,126 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 20:44:14,613 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:45:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 20:44:30,069 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 20:44:45,531 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 20:45:01,042 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 20:45:16,626 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:44:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 20:45:29,376 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 20:45:52,840 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:45:52,850 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9945 +2025-07-02 20:45:52,851 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9386, top5_acc: 0.9945 +2025-07-02 20:46:30,496 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:26, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 20:46:45,898 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 20:47:01,317 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:43:53, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 20:47:16,750 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 20:47:32,137 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 20:47:47,522 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 20:48:02,950 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0508, loss: 0.0508 +2025-07-02 20:48:18,406 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 20:48:34,066 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 20:48:49,767 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:41:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 20:49:05,486 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 20:49:18,195 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 20:49:41,653 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:49:41,664 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9941 +2025-07-02 20:49:41,667 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_134.pth was removed +2025-07-02 20:49:41,784 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2025-07-02 20:49:41,785 - pyskl - INFO - Best top1_acc is 0.9430 at 137 epoch. +2025-07-02 20:49:41,786 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9430, top5_acc: 0.9941 +2025-07-02 20:50:19,185 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:14, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 20:50:34,525 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:40:58, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 20:50:49,842 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:41, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 20:51:05,206 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 20:51:20,562 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 20:51:35,910 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:52, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 20:51:51,203 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:36, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 20:52:06,676 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 20:52:22,196 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 20:52:37,811 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 20:52:53,606 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 20:53:06,429 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 20:53:29,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:53:29,616 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9952 +2025-07-02 20:53:29,616 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9430, top5_acc: 0.9952 +2025-07-02 20:54:07,558 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:03, time: 0.379, data_time: 0.221, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 20:54:22,984 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 20:54:38,498 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 20:54:54,029 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 20:55:09,508 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:36:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 20:55:25,030 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 20:55:40,550 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 20:55:56,154 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 20:56:11,772 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 20:56:27,290 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 20:56:42,791 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 20:56:55,454 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 20:57:18,840 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:57:18,850 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9941 +2025-07-02 20:57:18,851 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9412, top5_acc: 0.9941 +2025-07-02 20:57:56,670 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:51, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 20:58:12,182 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 20:58:27,690 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 20:58:43,254 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 20:58:58,798 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 20:59:14,341 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 20:59:29,894 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 20:59:45,617 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:32:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 21:00:01,273 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:00:16,888 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 21:00:32,373 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0190, loss: 0.0190 +2025-07-02 21:00:45,179 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 21:01:08,673 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:01:08,684 - pyskl - INFO - +top1_acc 0.9412 +top5_acc 0.9930 +2025-07-02 21:01:08,684 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9412, top5_acc: 0.9930 +2025-07-02 21:01:46,636 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:40, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 21:02:02,174 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:02:17,714 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 21:02:33,237 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 21:02:48,776 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 21:03:04,540 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 21:03:20,146 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 21:03:35,564 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 21:03:51,238 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 21:04:06,962 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 21:04:22,606 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:28:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 21:04:35,376 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 21:04:59,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:04:59,061 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9937 +2025-07-02 21:04:59,065 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_137.pth was removed +2025-07-02 21:04:59,187 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2025-07-02 21:04:59,188 - pyskl - INFO - Best top1_acc is 0.9460 at 141 epoch. +2025-07-02 21:04:59,189 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9460, top5_acc: 0.9937 +2025-07-02 21:05:36,591 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:28, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0212, loss: 0.0212 +2025-07-02 21:05:51,913 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:12, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 21:06:07,222 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:27:55, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 21:06:22,565 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:39, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 21:06:37,981 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 21:06:53,366 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 21:07:08,699 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:50, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 21:07:24,082 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 21:07:39,554 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 21:07:54,932 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 21:08:10,348 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 21:08:23,358 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 21:08:46,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:08:46,854 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9952 +2025-07-02 21:08:46,858 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_141.pth was removed +2025-07-02 21:08:46,982 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-07-02 21:08:46,983 - pyskl - INFO - Best top1_acc is 0.9464 at 142 epoch. +2025-07-02 21:08:46,984 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9464, top5_acc: 0.9952 +2025-07-02 21:09:24,511 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:16, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 21:09:39,965 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0136, loss: 0.0136 +2025-07-02 21:09:55,319 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0159, loss: 0.0159 +2025-07-02 21:10:10,694 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 21:10:26,053 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0227, loss: 0.0227 +2025-07-02 21:10:41,452 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 21:10:56,941 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 21:11:12,586 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 21:11:28,093 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 21:11:43,681 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 21:11:59,126 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 21:12:11,872 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 21:12:35,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:12:35,288 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9922 +2025-07-02 21:12:35,289 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9419, top5_acc: 0.9922 +2025-07-02 21:13:13,066 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:05, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 21:13:28,539 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 21:13:43,989 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0168, loss: 0.0168 +2025-07-02 21:13:59,406 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 21:14:14,804 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2025-07-02 21:14:30,209 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 21:14:45,590 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 21:15:01,192 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 21:15:16,698 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 21:15:32,323 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 21:15:47,875 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 21:16:00,599 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 21:16:24,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:16:24,465 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9926 +2025-07-02 21:16:24,465 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9349, top5_acc: 0.9926 +2025-07-02 21:17:02,253 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:53, time: 0.378, data_time: 0.221, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 21:17:17,682 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 21:17:33,084 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:21, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 21:17:48,446 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 21:18:03,819 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:48, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 21:18:19,230 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 21:18:34,615 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 21:18:50,023 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:16:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 21:19:05,445 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 21:19:20,919 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 21:19:36,351 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0127, loss: 0.0127 +2025-07-02 21:19:49,021 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 21:20:12,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:20:12,606 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9933 +2025-07-02 21:20:12,606 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9438, top5_acc: 0.9933 +2025-07-02 21:20:50,237 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:42, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 21:21:05,764 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 21:21:21,213 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 21:21:36,713 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 21:21:52,195 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 21:22:07,653 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 21:22:23,109 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:22:38,681 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0157, loss: 0.0157 +2025-07-02 21:22:54,177 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 21:23:09,659 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 21:23:25,155 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:12:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 21:23:38,059 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 21:24:01,371 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:24:01,381 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9926 +2025-07-02 21:24:01,382 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9442, top5_acc: 0.9926 +2025-07-02 21:24:39,180 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:30, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 21:24:54,622 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 21:25:10,103 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 21:25:25,547 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0180, loss: 0.0180 +2025-07-02 21:25:41,056 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0135, loss: 0.0135 +2025-07-02 21:25:56,534 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 21:26:12,009 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 21:26:27,721 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0180, loss: 0.0180 +2025-07-02 21:26:43,408 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 21:26:58,986 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0150, loss: 0.0150 +2025-07-02 21:27:14,509 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0217, loss: 0.0217 +2025-07-02 21:27:27,326 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 21:27:50,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:27:50,584 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9933 +2025-07-02 21:27:50,584 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9442, top5_acc: 0.9933 +2025-07-02 21:28:28,154 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:18, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 21:28:43,609 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 21:28:59,053 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 21:29:14,511 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 21:29:29,941 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 21:29:45,373 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 21:30:00,767 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 21:30:16,153 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 21:30:31,464 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:08, time: 0.153, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0152, loss: 0.0152 +2025-07-02 21:30:46,959 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 21:31:02,450 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 21:31:15,062 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 21:31:38,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:31:38,924 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9937 +2025-07-02 21:31:38,924 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9434, top5_acc: 0.9937 +2025-07-02 21:32:16,771 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:07, time: 0.378, data_time: 0.221, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 21:32:32,361 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0149, loss: 0.0149 +2025-07-02 21:32:47,800 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 21:33:03,154 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 21:33:18,539 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 21:33:34,132 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:33:49,566 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 21:34:05,047 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 21:34:20,445 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 21:34:36,041 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0167, loss: 0.0167 +2025-07-02 21:34:51,599 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0187, loss: 0.0187 +2025-07-02 21:35:04,171 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 21:35:27,553 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:35:27,563 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9945 +2025-07-02 21:35:27,568 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_142.pth was removed +2025-07-02 21:35:27,691 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_149.pth. +2025-07-02 21:35:27,692 - pyskl - INFO - Best top1_acc is 0.9467 at 149 epoch. +2025-07-02 21:35:27,692 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9467, top5_acc: 0.9945 +2025-07-02 21:36:05,371 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:55, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 21:36:20,857 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 21:36:36,361 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 21:36:51,858 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 21:37:07,360 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 21:37:22,890 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 21:37:38,394 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 21:37:53,975 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 21:38:09,571 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 21:38:25,070 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 21:38:40,766 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0208, loss: 0.0208 +2025-07-02 21:38:53,492 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 21:39:17,252 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:39:17,262 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9941 +2025-07-02 21:39:17,263 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9430, top5_acc: 0.9941 +2025-07-02 21:39:24,191 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 21:40:53,039 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 21:40:53,039 - pyskl - INFO - top1_acc: 0.9490 +2025-07-02 21:40:53,039 - pyskl - INFO - top5_acc: 0.9959 +2025-07-02 21:40:53,040 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/jm/best_top1_acc_epoch_149.pth +2025-07-02 21:42:21,307 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 21:42:21,307 - pyskl - INFO - top1_acc: 0.9508 +2025-07-02 21:42:21,307 - pyskl - INFO - top5_acc: 0.9948 diff --git a/pku_mmd_xsub/jm/20250702_121040.log.json b/pku_mmd_xsub/jm/20250702_121040.log.json new file mode 100644 index 0000000000000000000000000000000000000000..64ca13435e8e3e32c796bf380619c4fc7c987527 --- /dev/null +++ b/pku_mmd_xsub/jm/20250702_121040.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. 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1100, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.02084, "loss": 0.02084, "time": 0.15696} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.94305, "top5_acc": 0.99408} diff --git a/pku_mmd_xsub/jm/best_pred.pkl b/pku_mmd_xsub/jm/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..c6cbdf7688383a8b958036ab92a699002fa34a96 --- /dev/null +++ b/pku_mmd_xsub/jm/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:71801d6b71c1bd6a443981b154342a87e1a240821a555f1dcab3ff0de825bd68 +size 954252 diff --git a/pku_mmd_xsub/jm/best_top1_acc_epoch_149.pth b/pku_mmd_xsub/jm/best_top1_acc_epoch_149.pth new file mode 100644 index 0000000000000000000000000000000000000000..77b6cdd63d2061a20ecb9595afee1d06fb43033d --- /dev/null +++ b/pku_mmd_xsub/jm/best_top1_acc_epoch_149.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8586ac79145e2e03b5397110af2a84a4f4fe6035728963c6e3269727065b34a +size 32917041 diff --git a/pku_mmd_xsub/jm/jm.py b/pku_mmd_xsub/jm/jm.py new file mode 100644 index 0000000000000000000000000000000000000000..15008e2fb8a28a337286900181b5a9cebe0fd974 --- /dev/null +++ b/pku_mmd_xsub/jm/jm.py @@ -0,0 +1,98 @@ +modality = 'jm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/jm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/k_1/20250702_120945.log b/pku_mmd_xsub/k_1/20250702_120945.log new file mode 100644 index 0000000000000000000000000000000000000000..b696bde225ecfd11f88510a98f354ce61083e08b --- /dev/null +++ b/pku_mmd_xsub/k_1/20250702_120945.log @@ -0,0 +1,2826 @@ +2025-07-02 12:09:45,699 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 12:09:46,095 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/k_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 12:09:46,096 - pyskl - INFO - Set random seed to 1977012206, deterministic: False +2025-07-02 12:09:49,928 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 12:09:56,802 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 12:09:56,807 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1 +2025-07-02 12:09:56,807 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 12:09:56,807 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 12:09:56,807 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1 by HardDiskBackend. +2025-07-02 12:10:32,662 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:35:13, time: 0.359, data_time: 0.201, memory: 3565, top1_acc: 0.0656, top5_acc: 0.2056, loss_cls: 4.3341, loss: 4.3341 +2025-07-02 12:10:47,813 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:30:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1037, top5_acc: 0.3794, loss_cls: 3.9145, loss: 3.9145 +2025-07-02 12:11:02,944 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:48:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.1656, top5_acc: 0.5306, loss_cls: 3.4166, loss: 3.4166 +2025-07-02 12:11:18,166 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:57:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.2306, top5_acc: 0.6262, loss_cls: 3.1271, loss: 3.1271 +2025-07-02 12:11:33,269 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:26:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2838, top5_acc: 0.6950, loss_cls: 2.8565, loss: 2.8565 +2025-07-02 12:11:48,338 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:05:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3438, top5_acc: 0.7913, loss_cls: 2.5972, loss: 2.5972 +2025-07-02 12:12:03,517 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:50:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.3800, top5_acc: 0.8187, loss_cls: 2.4563, loss: 2.4563 +2025-07-02 12:12:18,576 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:39:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4431, top5_acc: 0.8631, loss_cls: 2.2198, loss: 2.2198 +2025-07-02 12:12:33,637 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:30:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4775, top5_acc: 0.8781, loss_cls: 2.1112, loss: 2.1112 +2025-07-02 12:12:48,807 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:23:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5062, top5_acc: 0.8938, loss_cls: 2.0296, loss: 2.0296 +2025-07-02 12:13:04,249 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:18:41, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.5331, top5_acc: 0.9075, loss_cls: 1.9058, loss: 1.9058 +2025-07-02 12:13:16,677 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 12:13:39,272 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:13:39,282 - pyskl - INFO - +top1_acc 0.5680 +top5_acc 0.9575 +2025-07-02 12:13:39,412 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 12:13:39,413 - pyskl - INFO - Best top1_acc is 0.5680 at 1 epoch. +2025-07-02 12:13:39,413 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5680, top5_acc: 0.9575 +2025-07-02 12:14:14,693 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:29:29, time: 0.353, data_time: 0.202, memory: 3565, top1_acc: 0.5737, top5_acc: 0.9137, loss_cls: 1.8045, loss: 1.8045 +2025-07-02 12:14:29,761 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:24:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6119, top5_acc: 0.9300, loss_cls: 1.6604, loss: 1.6604 +2025-07-02 12:14:44,915 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:19:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6194, top5_acc: 0.9319, loss_cls: 1.6419, loss: 1.6419 +2025-07-02 12:15:00,161 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:16:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6162, top5_acc: 0.9394, loss_cls: 1.6151, loss: 1.6151 +2025-07-02 12:15:15,377 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:12:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6500, top5_acc: 0.9331, loss_cls: 1.5681, loss: 1.5681 +2025-07-02 12:15:30,523 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:09:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6431, top5_acc: 0.9475, loss_cls: 1.5097, loss: 1.5097 +2025-07-02 12:15:45,712 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:06:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6763, top5_acc: 0.9469, loss_cls: 1.4557, loss: 1.4557 +2025-07-02 12:16:00,925 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:04:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6594, top5_acc: 0.9506, loss_cls: 1.4726, loss: 1.4726 +2025-07-02 12:16:16,110 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:01:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6556, top5_acc: 0.9387, loss_cls: 1.5195, loss: 1.5195 +2025-07-02 12:16:31,381 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:59:58, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6769, top5_acc: 0.9537, loss_cls: 1.4163, loss: 1.4163 +2025-07-02 12:16:46,597 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:58:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6937, top5_acc: 0.9513, loss_cls: 1.3416, loss: 1.3416 +2025-07-02 12:16:58,936 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 12:17:21,231 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:17:21,240 - pyskl - INFO - +top1_acc 0.6760 +top5_acc 0.9689 +2025-07-02 12:17:21,245 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_1.pth was removed +2025-07-02 12:17:21,358 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 12:17:21,358 - pyskl - INFO - Best top1_acc is 0.6760 at 2 epoch. +2025-07-02 12:17:21,359 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.6760, top5_acc: 0.9689 +2025-07-02 12:17:56,965 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:05:03, time: 0.356, data_time: 0.204, memory: 3565, top1_acc: 0.6956, top5_acc: 0.9531, loss_cls: 1.3333, loss: 1.3333 +2025-07-02 12:18:12,210 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:03:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7156, top5_acc: 0.9637, loss_cls: 1.2932, loss: 1.2932 +2025-07-02 12:18:27,472 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:01:19, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7025, top5_acc: 0.9456, loss_cls: 1.3596, loss: 1.3596 +2025-07-02 12:18:42,857 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:59:46, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7288, top5_acc: 0.9625, loss_cls: 1.2367, loss: 1.2367 +2025-07-02 12:18:57,948 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:58:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.6956, top5_acc: 0.9594, loss_cls: 1.3449, loss: 1.3449 +2025-07-02 12:19:13,090 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:56:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7144, top5_acc: 0.9600, loss_cls: 1.2569, loss: 1.2569 +2025-07-02 12:19:28,312 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:54:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7406, top5_acc: 0.9625, loss_cls: 1.2530, loss: 1.2530 +2025-07-02 12:19:43,551 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:53:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7250, top5_acc: 0.9600, loss_cls: 1.3038, loss: 1.3038 +2025-07-02 12:19:58,850 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:52:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7469, top5_acc: 0.9613, loss_cls: 1.1783, loss: 1.1783 +2025-07-02 12:20:14,060 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:51:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7444, top5_acc: 0.9631, loss_cls: 1.1759, loss: 1.1759 +2025-07-02 12:20:29,604 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:50:14, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7431, top5_acc: 0.9650, loss_cls: 1.2147, loss: 1.2147 +2025-07-02 12:20:42,376 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 12:21:05,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:21:05,638 - pyskl - INFO - +top1_acc 0.7115 +top5_acc 0.9760 +2025-07-02 12:21:05,643 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_2.pth was removed +2025-07-02 12:21:05,764 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 12:21:05,765 - pyskl - INFO - Best top1_acc is 0.7115 at 3 epoch. +2025-07-02 12:21:05,766 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7115, top5_acc: 0.9760 +2025-07-02 12:21:42,267 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:55:43, time: 0.365, data_time: 0.212, memory: 3565, top1_acc: 0.7475, top5_acc: 0.9675, loss_cls: 1.1563, loss: 1.1563 +2025-07-02 12:21:57,546 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:54:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7650, top5_acc: 0.9706, loss_cls: 1.0997, loss: 1.0997 +2025-07-02 12:22:13,096 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:53:32, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7556, top5_acc: 0.9656, loss_cls: 1.1298, loss: 1.1298 +2025-07-02 12:22:28,318 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:52:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7619, top5_acc: 0.9594, loss_cls: 1.1309, loss: 1.1309 +2025-07-02 12:22:43,460 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:51:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7481, top5_acc: 0.9650, loss_cls: 1.1479, loss: 1.1479 +2025-07-02 12:22:58,572 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:50:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7800, top5_acc: 0.9712, loss_cls: 1.1078, loss: 1.1078 +2025-07-02 12:23:13,721 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:48:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7806, top5_acc: 0.9694, loss_cls: 1.0792, loss: 1.0792 +2025-07-02 12:23:28,884 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:47:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7562, top5_acc: 0.9706, loss_cls: 1.0987, loss: 1.0987 +2025-07-02 12:23:44,256 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:47:04, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7588, top5_acc: 0.9675, loss_cls: 1.1155, loss: 1.1155 +2025-07-02 12:23:59,597 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:46:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7950, top5_acc: 0.9675, loss_cls: 1.0174, loss: 1.0174 +2025-07-02 12:24:14,973 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:45:24, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7837, top5_acc: 0.9725, loss_cls: 1.0465, loss: 1.0465 +2025-07-02 12:24:27,597 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 12:24:50,224 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:24:50,235 - pyskl - INFO - +top1_acc 0.7641 +top5_acc 0.9826 +2025-07-02 12:24:50,239 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_3.pth was removed +2025-07-02 12:24:50,350 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 12:24:50,351 - pyskl - INFO - Best top1_acc is 0.7641 at 4 epoch. +2025-07-02 12:24:50,352 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7641, top5_acc: 0.9826 +2025-07-02 12:25:27,031 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:49:33, time: 0.367, data_time: 0.212, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9750, loss_cls: 1.0138, loss: 1.0138 +2025-07-02 12:25:42,439 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:48:42, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7819, top5_acc: 0.9756, loss_cls: 1.0252, loss: 1.0252 +2025-07-02 12:25:57,891 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:47:54, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9675, loss_cls: 1.0109, loss: 1.0109 +2025-07-02 12:26:13,170 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:47:02, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8050, top5_acc: 0.9775, loss_cls: 0.9190, loss: 0.9190 +2025-07-02 12:26:28,350 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:46:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9712, loss_cls: 0.9410, loss: 0.9410 +2025-07-02 12:26:43,458 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:45:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7863, top5_acc: 0.9738, loss_cls: 1.0184, loss: 1.0184 +2025-07-02 12:26:58,588 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:44:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7856, top5_acc: 0.9719, loss_cls: 1.0233, loss: 1.0233 +2025-07-02 12:27:13,731 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:43:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9712, loss_cls: 0.9866, loss: 0.9866 +2025-07-02 12:27:28,917 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:42:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7644, top5_acc: 0.9650, loss_cls: 1.1544, loss: 1.1544 +2025-07-02 12:27:44,126 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:41:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7950, top5_acc: 0.9663, loss_cls: 1.0480, loss: 1.0480 +2025-07-02 12:27:59,324 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:41:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9731, loss_cls: 0.9809, loss: 0.9809 +2025-07-02 12:28:11,969 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 12:28:34,465 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:28:34,475 - pyskl - INFO - +top1_acc 0.8092 +top5_acc 0.9885 +2025-07-02 12:28:34,478 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_4.pth was removed +2025-07-02 12:28:34,593 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 12:28:34,594 - pyskl - INFO - Best top1_acc is 0.8092 at 5 epoch. +2025-07-02 12:28:34,594 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.8092, top5_acc: 0.9885 +2025-07-02 12:29:10,768 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:44:08, time: 0.362, data_time: 0.209, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9719, loss_cls: 0.9634, loss: 0.9634 +2025-07-02 12:29:26,008 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:43:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7887, top5_acc: 0.9694, loss_cls: 1.0246, loss: 1.0246 +2025-07-02 12:29:41,193 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:42:35, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9744, loss_cls: 0.9522, loss: 0.9522 +2025-07-02 12:29:56,514 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:41:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9725, loss_cls: 0.9769, loss: 0.9769 +2025-07-02 12:30:11,716 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:41:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8050, top5_acc: 0.9706, loss_cls: 0.9677, loss: 0.9677 +2025-07-02 12:30:26,844 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:40:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9694, loss_cls: 0.9729, loss: 0.9729 +2025-07-02 12:30:41,883 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:39:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 0.9494, loss: 0.9494 +2025-07-02 12:30:56,934 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:38:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9719, loss_cls: 0.9564, loss: 0.9564 +2025-07-02 12:31:12,100 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:38:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9756, loss_cls: 0.8956, loss: 0.8956 +2025-07-02 12:31:27,255 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:37:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9769, loss_cls: 0.9113, loss: 0.9113 +2025-07-02 12:31:42,502 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:36:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9731, loss_cls: 0.9204, loss: 0.9204 +2025-07-02 12:31:54,873 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 12:32:17,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:32:17,509 - pyskl - INFO - +top1_acc 0.8206 +top5_acc 0.9830 +2025-07-02 12:32:17,514 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_5.pth was removed +2025-07-02 12:32:17,625 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 12:32:17,625 - pyskl - INFO - Best top1_acc is 0.8206 at 6 epoch. +2025-07-02 12:32:17,626 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.8206, top5_acc: 0.9830 +2025-07-02 12:32:54,091 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:39:22, time: 0.365, data_time: 0.212, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9825, loss_cls: 0.8288, loss: 0.8288 +2025-07-02 12:33:09,398 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:38:43, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9769, loss_cls: 0.9196, loss: 0.9196 +2025-07-02 12:33:24,660 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:38:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9681, loss_cls: 0.9209, loss: 0.9209 +2025-07-02 12:33:39,893 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:37:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9825, loss_cls: 0.8649, loss: 0.8649 +2025-07-02 12:33:55,178 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:36:49, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9800, loss_cls: 0.8585, loss: 0.8585 +2025-07-02 12:34:10,316 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:36:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9731, loss_cls: 0.8953, loss: 0.8953 +2025-07-02 12:34:25,454 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:35:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8181, top5_acc: 0.9719, loss_cls: 0.9085, loss: 0.9085 +2025-07-02 12:34:40,630 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:34:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 0.8890, loss: 0.8890 +2025-07-02 12:34:55,730 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:34:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9800, loss_cls: 0.8666, loss: 0.8666 +2025-07-02 12:35:10,978 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:33:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9637, loss_cls: 0.9619, loss: 0.9619 +2025-07-02 12:35:26,421 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:33:08, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9850, loss_cls: 0.7575, loss: 0.7575 +2025-07-02 12:35:38,800 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 12:36:01,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:36:01,579 - pyskl - INFO - +top1_acc 0.8543 +top5_acc 0.9930 +2025-07-02 12:36:01,582 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_6.pth was removed +2025-07-02 12:36:01,695 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 12:36:01,695 - pyskl - INFO - Best top1_acc is 0.8543 at 7 epoch. +2025-07-02 12:36:01,696 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8543, top5_acc: 0.9930 +2025-07-02 12:36:38,200 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:35:16, time: 0.365, data_time: 0.214, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9769, loss_cls: 0.8431, loss: 0.8431 +2025-07-02 12:36:53,397 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:34:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7908, loss: 0.7908 +2025-07-02 12:37:08,622 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:34:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9831, loss_cls: 0.7928, loss: 0.7928 +2025-07-02 12:37:23,822 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:33:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9838, loss_cls: 0.8116, loss: 0.8116 +2025-07-02 12:37:38,934 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:32:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9794, loss_cls: 0.8490, loss: 0.8490 +2025-07-02 12:37:54,053 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:32:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 0.7863, loss: 0.7863 +2025-07-02 12:38:09,216 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:31:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9800, loss_cls: 0.8588, loss: 0.8588 +2025-07-02 12:38:24,351 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:31:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8256, top5_acc: 0.9775, loss_cls: 0.8751, loss: 0.8751 +2025-07-02 12:38:39,634 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:30:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 0.7827, loss: 0.7827 +2025-07-02 12:38:55,276 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:30:08, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9800, loss_cls: 0.8147, loss: 0.8147 +2025-07-02 12:39:10,716 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:29:39, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 0.7527, loss: 0.7527 +2025-07-02 12:39:23,342 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 12:39:46,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:39:46,536 - pyskl - INFO - +top1_acc 0.8432 +top5_acc 0.9922 +2025-07-02 12:39:46,536 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8432, top5_acc: 0.9922 +2025-07-02 12:40:23,083 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:31:28, time: 0.365, data_time: 0.213, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9762, loss_cls: 0.8475, loss: 0.8475 +2025-07-02 12:40:38,284 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:30:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9744, loss_cls: 0.7886, loss: 0.7886 +2025-07-02 12:40:53,606 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:30:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8481, top5_acc: 0.9769, loss_cls: 0.7784, loss: 0.7784 +2025-07-02 12:41:08,930 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:29:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 0.7410, loss: 0.7410 +2025-07-02 12:41:24,043 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:29:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9744, loss_cls: 0.8115, loss: 0.8115 +2025-07-02 12:41:39,275 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:28:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9712, loss_cls: 0.8362, loss: 0.8362 +2025-07-02 12:41:54,573 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:28:17, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 0.7840, loss: 0.7840 +2025-07-02 12:42:09,965 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:27:48, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9738, loss_cls: 0.8322, loss: 0.8322 +2025-07-02 12:42:25,350 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:27:20, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9756, loss_cls: 0.8226, loss: 0.8226 +2025-07-02 12:42:40,587 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:26:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9844, loss_cls: 0.7549, loss: 0.7549 +2025-07-02 12:42:55,913 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:26:21, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 0.8056, loss: 0.8056 +2025-07-02 12:43:08,487 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 12:43:31,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:43:31,445 - pyskl - INFO - +top1_acc 0.8746 +top5_acc 0.9941 +2025-07-02 12:43:31,450 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_7.pth was removed +2025-07-02 12:43:31,639 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 12:43:31,640 - pyskl - INFO - Best top1_acc is 0.8746 at 9 epoch. +2025-07-02 12:43:31,641 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8746, top5_acc: 0.9941 +2025-07-02 12:44:08,499 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:27:59, time: 0.369, data_time: 0.216, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 0.7278, loss: 0.7278 +2025-07-02 12:44:23,914 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:27:31, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 0.7873, loss: 0.7873 +2025-07-02 12:44:39,194 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:27:01, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 0.7470, loss: 0.7470 +2025-07-02 12:44:54,444 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:26:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9838, loss_cls: 0.7700, loss: 0.7700 +2025-07-02 12:45:09,767 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:26:02, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9750, loss_cls: 0.8002, loss: 0.8002 +2025-07-02 12:45:25,045 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:25:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 0.7390, loss: 0.7390 +2025-07-02 12:45:40,428 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:25:05, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 0.7412, loss: 0.7412 +2025-07-02 12:45:55,967 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:24:40, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9850, loss_cls: 0.7453, loss: 0.7453 +2025-07-02 12:46:11,290 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:24:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 0.7413, loss: 0.7413 +2025-07-02 12:46:26,508 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:23:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9794, loss_cls: 0.7563, loss: 0.7563 +2025-07-02 12:46:41,841 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:23:16, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9869, loss_cls: 0.7303, loss: 0.7303 +2025-07-02 12:46:54,325 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 12:47:17,375 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:47:17,387 - pyskl - INFO - +top1_acc 0.8203 +top5_acc 0.9882 +2025-07-02 12:47:17,388 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8203, top5_acc: 0.9882 +2025-07-02 12:47:54,232 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:24:40, time: 0.368, data_time: 0.216, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 0.7203, loss: 0.7203 +2025-07-02 12:48:09,564 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:24:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9800, loss_cls: 0.7682, loss: 0.7682 +2025-07-02 12:48:24,753 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:23:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6973, loss: 0.6973 +2025-07-02 12:48:39,865 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:23:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9819, loss_cls: 0.7265, loss: 0.7265 +2025-07-02 12:48:55,094 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:22:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 0.7796, loss: 0.7796 +2025-07-02 12:49:10,348 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:22:15, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.7277, loss: 0.7277 +2025-07-02 12:49:25,605 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:21:47, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9800, loss_cls: 0.6820, loss: 0.6820 +2025-07-02 12:49:40,881 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:21:20, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 0.6886, loss: 0.6886 +2025-07-02 12:49:56,032 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:20:51, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9769, loss_cls: 0.7273, loss: 0.7273 +2025-07-02 12:50:11,184 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:20:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9806, loss_cls: 0.7284, loss: 0.7284 +2025-07-02 12:50:26,462 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:19:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 0.7050, loss: 0.7050 +2025-07-02 12:50:39,012 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 12:51:02,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:51:02,086 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9926 +2025-07-02 12:51:02,090 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_9.pth was removed +2025-07-02 12:51:02,216 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 12:51:02,217 - pyskl - INFO - Best top1_acc is 0.8768 at 11 epoch. +2025-07-02 12:51:02,217 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8768, top5_acc: 0.9926 +2025-07-02 12:51:38,264 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:20:59, time: 0.360, data_time: 0.210, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9794, loss_cls: 0.6798, loss: 0.6798 +2025-07-02 12:51:53,387 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:20:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9894, loss_cls: 0.7420, loss: 0.7420 +2025-07-02 12:52:08,521 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:20:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9869, loss_cls: 0.7009, loss: 0.7009 +2025-07-02 12:52:23,693 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:19:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6447, loss: 0.6447 +2025-07-02 12:52:38,878 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:19:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9838, loss_cls: 0.6967, loss: 0.6967 +2025-07-02 12:52:54,080 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:18:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 0.7853, loss: 0.7853 +2025-07-02 12:53:09,284 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:18:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9788, loss_cls: 0.7428, loss: 0.7428 +2025-07-02 12:53:24,524 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:17:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 0.6902, loss: 0.6902 +2025-07-02 12:53:39,661 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:17:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 0.6820, loss: 0.6820 +2025-07-02 12:53:54,689 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:16:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 0.7015, loss: 0.7015 +2025-07-02 12:54:09,709 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:16:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6762, loss: 0.6762 +2025-07-02 12:54:22,087 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 12:54:44,758 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:54:44,768 - pyskl - INFO - +top1_acc 0.8732 +top5_acc 0.9900 +2025-07-02 12:54:44,769 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8732, top5_acc: 0.9900 +2025-07-02 12:55:20,680 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:17:13, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9812, loss_cls: 0.6798, loss: 0.6798 +2025-07-02 12:55:35,862 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:16:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9781, loss_cls: 0.6878, loss: 0.6878 +2025-07-02 12:55:51,082 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:16:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9762, loss_cls: 0.7786, loss: 0.7786 +2025-07-02 12:56:06,297 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:15:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.6203, loss: 0.6203 +2025-07-02 12:56:21,488 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:15:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7272, loss: 0.7272 +2025-07-02 12:56:36,706 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:15:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9781, loss_cls: 0.6956, loss: 0.6956 +2025-07-02 12:56:52,082 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:14:36, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9825, loss_cls: 0.7115, loss: 0.7115 +2025-07-02 12:57:07,364 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:14:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9744, loss_cls: 0.6936, loss: 0.6936 +2025-07-02 12:57:22,776 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:13:48, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 0.6930, loss: 0.6930 +2025-07-02 12:57:38,169 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:13:24, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6520, loss: 0.6520 +2025-07-02 12:57:53,537 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:13:00, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6449, loss: 0.6449 +2025-07-02 12:58:05,968 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 12:58:28,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:58:28,733 - pyskl - INFO - +top1_acc 0.8761 +top5_acc 0.9959 +2025-07-02 12:58:28,733 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8761, top5_acc: 0.9959 +2025-07-02 12:59:04,868 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:13:50, time: 0.361, data_time: 0.209, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6768, loss: 0.6768 +2025-07-02 12:59:20,283 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:13:26, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 0.6606, loss: 0.6606 +2025-07-02 12:59:35,699 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:13:03, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9856, loss_cls: 0.6724, loss: 0.6724 +2025-07-02 12:59:51,050 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:12:38, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.6511, loss: 0.6511 +2025-07-02 13:00:06,423 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:12:15, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 0.6735, loss: 0.6735 +2025-07-02 13:00:21,743 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:11:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9838, loss_cls: 0.7213, loss: 0.7213 +2025-07-02 13:00:37,126 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:11:27, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 0.7579, loss: 0.7579 +2025-07-02 13:00:52,381 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:11:02, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 0.6779, loss: 0.6779 +2025-07-02 13:01:07,746 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:10:39, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 0.6843, loss: 0.6843 +2025-07-02 13:01:23,011 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:10:15, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 0.6139, loss: 0.6139 +2025-07-02 13:01:38,201 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:09:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 0.6410, loss: 0.6410 +2025-07-02 13:01:50,643 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 13:02:13,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:02:13,306 - pyskl - INFO - +top1_acc 0.8854 +top5_acc 0.9926 +2025-07-02 13:02:13,309 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_11.pth was removed +2025-07-02 13:02:13,535 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2025-07-02 13:02:13,535 - pyskl - INFO - Best top1_acc is 0.8854 at 14 epoch. +2025-07-02 13:02:13,536 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8854, top5_acc: 0.9926 +2025-07-02 13:02:49,465 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:10:31, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 0.6441, loss: 0.6441 +2025-07-02 13:03:04,622 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:10:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 0.5859, loss: 0.5859 +2025-07-02 13:03:19,858 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:09:41, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9762, loss_cls: 0.7048, loss: 0.7048 +2025-07-02 13:03:35,089 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:09:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6218, loss: 0.6218 +2025-07-02 13:03:50,290 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:08:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 0.7260, loss: 0.7260 +2025-07-02 13:04:05,553 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:08:28, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.5962, loss: 0.5962 +2025-07-02 13:04:20,684 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:08:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9788, loss_cls: 0.6541, loss: 0.6541 +2025-07-02 13:04:35,777 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:07:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 0.6055, loss: 0.6055 +2025-07-02 13:04:50,955 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:07:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 0.6812, loss: 0.6812 +2025-07-02 13:05:06,073 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:06:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 0.6861, loss: 0.6861 +2025-07-02 13:05:21,275 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:06:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9762, loss_cls: 0.6785, loss: 0.6785 +2025-07-02 13:05:33,637 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 13:05:56,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:05:56,465 - pyskl - INFO - +top1_acc 0.8780 +top5_acc 0.9952 +2025-07-02 13:05:56,466 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8780, top5_acc: 0.9952 +2025-07-02 13:06:32,017 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:06:57, time: 0.355, data_time: 0.204, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 0.6687, loss: 0.6687 +2025-07-02 13:06:47,194 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:06:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9812, loss_cls: 0.6629, loss: 0.6629 +2025-07-02 13:07:02,403 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:06:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9806, loss_cls: 0.6570, loss: 0.6570 +2025-07-02 13:07:17,606 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:05:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.5794, loss: 0.5794 +2025-07-02 13:07:32,888 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:05:21, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9862, loss_cls: 0.6700, loss: 0.6700 +2025-07-02 13:07:48,140 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:04:58, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5466, loss: 0.5466 +2025-07-02 13:08:03,604 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:04:36, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 0.6435, loss: 0.6435 +2025-07-02 13:08:18,767 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:04:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9838, loss_cls: 0.6487, loss: 0.6487 +2025-07-02 13:08:33,852 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:03:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5748, loss: 0.5748 +2025-07-02 13:08:48,818 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 7:03:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 0.6511, loss: 0.6511 +2025-07-02 13:09:04,074 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 7:02:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9812, loss_cls: 0.6229, loss: 0.6229 +2025-07-02 13:09:16,548 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 13:09:39,310 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:09:39,321 - pyskl - INFO - +top1_acc 0.8295 +top5_acc 0.9771 +2025-07-02 13:09:39,321 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8295, top5_acc: 0.9771 +2025-07-02 13:10:15,109 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:03:30, time: 0.358, data_time: 0.205, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 0.6834, loss: 0.6834 +2025-07-02 13:10:30,372 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 7:03:07, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.6162, loss: 0.6162 +2025-07-02 13:10:45,598 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 7:02:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9838, loss_cls: 0.6167, loss: 0.6167 +2025-07-02 13:11:00,859 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 7:02:21, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 0.6429, loss: 0.6429 +2025-07-02 13:11:16,130 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 7:01:58, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9819, loss_cls: 0.5913, loss: 0.5913 +2025-07-02 13:11:31,429 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 7:01:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.5772, loss: 0.5772 +2025-07-02 13:11:46,762 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 7:01:13, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6439, loss: 0.6439 +2025-07-02 13:12:02,278 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 7:00:53, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6533, loss: 0.6533 +2025-07-02 13:12:17,601 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 7:00:31, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 0.6687, loss: 0.6687 +2025-07-02 13:12:32,901 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 7:00:08, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 0.6830, loss: 0.6830 +2025-07-02 13:12:48,417 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:59:48, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9888, loss_cls: 0.6027, loss: 0.6027 +2025-07-02 13:13:01,159 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 13:13:23,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:13:23,994 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9930 +2025-07-02 13:13:23,995 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8794, top5_acc: 0.9930 +2025-07-02 13:13:59,679 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 7:00:14, time: 0.357, data_time: 0.204, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6258, loss: 0.6258 +2025-07-02 13:14:14,999 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:59:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5047, loss: 0.5047 +2025-07-02 13:14:30,206 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:59:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5624, loss: 0.5624 +2025-07-02 13:14:45,457 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:59:07, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 0.6404, loss: 0.6404 +2025-07-02 13:15:00,722 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:58:44, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9794, loss_cls: 0.6551, loss: 0.6551 +2025-07-02 13:15:15,964 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:58:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 0.6589, loss: 0.6589 +2025-07-02 13:15:31,273 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:58:00, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.5956, loss: 0.5956 +2025-07-02 13:15:46,449 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:57:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.6490, loss: 0.6490 +2025-07-02 13:16:01,613 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:57:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9819, loss_cls: 0.6225, loss: 0.6225 +2025-07-02 13:16:16,629 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:56:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9844, loss_cls: 0.6089, loss: 0.6089 +2025-07-02 13:16:31,716 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:56:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9862, loss_cls: 0.6072, loss: 0.6072 +2025-07-02 13:16:44,124 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 13:17:06,639 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:17:06,649 - pyskl - INFO - +top1_acc 0.8894 +top5_acc 0.9919 +2025-07-02 13:17:06,653 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_14.pth was removed +2025-07-02 13:17:06,764 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 13:17:06,765 - pyskl - INFO - Best top1_acc is 0.8894 at 18 epoch. +2025-07-02 13:17:06,766 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8894, top5_acc: 0.9919 +2025-07-02 13:17:42,412 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:56:50, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.5759, loss: 0.5759 +2025-07-02 13:17:57,452 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:56:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5574, loss: 0.5574 +2025-07-02 13:18:12,471 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:56:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5691, loss: 0.5691 +2025-07-02 13:18:27,486 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:55:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6128, loss: 0.6128 +2025-07-02 13:18:42,560 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:55:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 0.5959, loss: 0.5959 +2025-07-02 13:18:57,741 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:54:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 0.5987, loss: 0.5987 +2025-07-02 13:19:13,187 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:54:32, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 0.5808, loss: 0.5808 +2025-07-02 13:19:28,370 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:54:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9800, loss_cls: 0.6274, loss: 0.6274 +2025-07-02 13:19:43,487 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:53:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 0.6101, loss: 0.6101 +2025-07-02 13:19:58,701 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:53:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.6748, loss: 0.6748 +2025-07-02 13:20:13,893 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:53:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5364, loss: 0.5364 +2025-07-02 13:20:26,316 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 13:20:49,121 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:20:49,131 - pyskl - INFO - +top1_acc 0.8643 +top5_acc 0.9911 +2025-07-02 13:20:49,132 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8643, top5_acc: 0.9911 +2025-07-02 13:21:25,004 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:53:25, time: 0.359, data_time: 0.205, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.5969, loss: 0.5969 +2025-07-02 13:21:40,283 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:53:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.5828, loss: 0.5828 +2025-07-02 13:21:55,694 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:52:43, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5916, loss: 0.5916 +2025-07-02 13:22:10,970 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:52:21, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 0.5888, loss: 0.5888 +2025-07-02 13:22:25,967 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:51:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 0.6159, loss: 0.6159 +2025-07-02 13:22:41,330 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:51:37, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6128, loss: 0.6128 +2025-07-02 13:22:56,698 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:51:16, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5763, loss: 0.5763 +2025-07-02 13:23:12,237 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:50:57, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9806, loss_cls: 0.6335, loss: 0.6335 +2025-07-02 13:23:27,851 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:50:38, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9825, loss_cls: 0.6213, loss: 0.6213 +2025-07-02 13:23:43,324 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:50:18, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5509, loss: 0.5509 +2025-07-02 13:23:58,458 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:49:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.5955, loss: 0.5955 +2025-07-02 13:24:10,847 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 13:24:33,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:24:33,819 - pyskl - INFO - +top1_acc 0.8613 +top5_acc 0.9871 +2025-07-02 13:24:33,820 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8613, top5_acc: 0.9871 +2025-07-02 13:25:09,513 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:50:13, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5488, loss: 0.5488 +2025-07-02 13:25:24,637 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:49:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 13:25:39,773 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:49:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 0.5602, loss: 0.5602 +2025-07-02 13:25:54,973 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:49:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5490, loss: 0.5490 +2025-07-02 13:26:10,196 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:48:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.6045, loss: 0.6045 +2025-07-02 13:26:25,505 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:48:25, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 0.6325, loss: 0.6325 +2025-07-02 13:26:40,917 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:48:05, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9806, loss_cls: 0.6092, loss: 0.6092 +2025-07-02 13:26:56,571 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:47:46, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.5904, loss: 0.5904 +2025-07-02 13:27:11,916 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:47:26, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5995, loss: 0.5995 +2025-07-02 13:27:27,025 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:47:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9825, loss_cls: 0.5974, loss: 0.5974 +2025-07-02 13:27:42,073 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:46:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 0.6137, loss: 0.6137 +2025-07-02 13:27:54,479 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 13:28:17,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:28:17,415 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9963 +2025-07-02 13:28:17,419 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_18.pth was removed +2025-07-02 13:28:17,531 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-07-02 13:28:17,532 - pyskl - INFO - Best top1_acc is 0.9001 at 21 epoch. +2025-07-02 13:28:17,532 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.9001, top5_acc: 0.9963 +2025-07-02 13:28:53,619 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:46:59, time: 0.361, data_time: 0.206, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5608, loss: 0.5608 +2025-07-02 13:29:08,937 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:46:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 0.6289, loss: 0.6289 +2025-07-02 13:29:24,317 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:46:18, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9838, loss_cls: 0.5637, loss: 0.5637 +2025-07-02 13:29:39,583 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:45:57, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5846, loss: 0.5846 +2025-07-02 13:29:54,686 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:45:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 0.6045, loss: 0.6045 +2025-07-02 13:30:09,941 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:45:14, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 0.5553, loss: 0.5553 +2025-07-02 13:30:25,249 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:44:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 0.6266, loss: 0.6266 +2025-07-02 13:30:40,558 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:44:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.5870, loss: 0.5870 +2025-07-02 13:30:55,961 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:44:13, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 0.5988, loss: 0.5988 +2025-07-02 13:31:11,329 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:43:53, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 13:31:26,667 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:43:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9844, loss_cls: 0.5836, loss: 0.5836 +2025-07-02 13:31:39,194 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 13:32:02,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:32:02,034 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9952 +2025-07-02 13:32:02,037 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_21.pth was removed +2025-07-02 13:32:02,148 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-07-02 13:32:02,148 - pyskl - INFO - Best top1_acc is 0.9109 at 22 epoch. +2025-07-02 13:32:02,149 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.9109, top5_acc: 0.9952 +2025-07-02 13:32:38,206 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:43:47, time: 0.361, data_time: 0.207, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 0.5453, loss: 0.5453 +2025-07-02 13:32:53,366 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:43:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5402, loss: 0.5402 +2025-07-02 13:33:08,379 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:43:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 13:33:23,468 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:42:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5247, loss: 0.5247 +2025-07-02 13:33:38,571 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:42:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9819, loss_cls: 0.5795, loss: 0.5795 +2025-07-02 13:33:53,723 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:41:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 0.5575, loss: 0.5575 +2025-07-02 13:34:08,833 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:41:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9812, loss_cls: 0.5940, loss: 0.5940 +2025-07-02 13:34:23,995 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:41:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9900, loss_cls: 0.5860, loss: 0.5860 +2025-07-02 13:34:39,344 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:40:57, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.5609, loss: 0.5609 +2025-07-02 13:34:54,798 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:40:38, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5296, loss: 0.5296 +2025-07-02 13:35:10,169 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:40:18, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9781, loss_cls: 0.6465, loss: 0.6465 +2025-07-02 13:35:22,690 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 13:35:45,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:35:45,607 - pyskl - INFO - +top1_acc 0.8861 +top5_acc 0.9922 +2025-07-02 13:35:45,608 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8861, top5_acc: 0.9922 +2025-07-02 13:36:21,783 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:40:31, time: 0.362, data_time: 0.210, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 0.5531, loss: 0.5531 +2025-07-02 13:36:37,067 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:40:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 0.5786, loss: 0.5786 +2025-07-02 13:36:52,118 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:39:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 13:37:07,213 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:39:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9838, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 13:37:22,314 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:39:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.6063, loss: 0.6063 +2025-07-02 13:37:37,462 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:38:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9850, loss_cls: 0.5454, loss: 0.5454 +2025-07-02 13:37:52,621 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:38:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 13:38:07,861 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:38:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9875, loss_cls: 0.6342, loss: 0.6342 +2025-07-02 13:38:23,156 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:37:44, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5463, loss: 0.5463 +2025-07-02 13:38:38,468 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:37:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.5841, loss: 0.5841 +2025-07-02 13:38:53,822 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:37:04, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5649, loss: 0.5649 +2025-07-02 13:39:06,348 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 13:39:28,792 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:39:28,802 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9959 +2025-07-02 13:39:28,802 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8983, top5_acc: 0.9959 +2025-07-02 13:40:05,050 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:37:16, time: 0.362, data_time: 0.211, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5150, loss: 0.5150 +2025-07-02 13:40:20,199 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:36:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 0.5651, loss: 0.5651 +2025-07-02 13:40:35,305 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:36:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5619, loss: 0.5619 +2025-07-02 13:40:50,484 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:36:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5276, loss: 0.5276 +2025-07-02 13:41:05,773 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:35:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 0.5162, loss: 0.5162 +2025-07-02 13:41:20,960 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:35:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5274, loss: 0.5274 +2025-07-02 13:41:36,153 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:35:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9838, loss_cls: 0.5370, loss: 0.5370 +2025-07-02 13:41:51,310 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:34:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.5438, loss: 0.5438 +2025-07-02 13:42:06,567 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:34:32, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.5953, loss: 0.5953 +2025-07-02 13:42:21,941 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:34:12, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5614, loss: 0.5614 +2025-07-02 13:42:37,223 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:33:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 0.5764, loss: 0.5764 +2025-07-02 13:42:49,696 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 13:43:12,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:43:12,688 - pyskl - INFO - +top1_acc 0.8872 +top5_acc 0.9941 +2025-07-02 13:43:12,689 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8872, top5_acc: 0.9941 +2025-07-02 13:43:48,150 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:33:58, time: 0.355, data_time: 0.204, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5433, loss: 0.5433 +2025-07-02 13:44:03,385 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:33:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5565, loss: 0.5565 +2025-07-02 13:44:18,646 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:33:18, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 13:44:33,914 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:32:58, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9919, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 13:44:49,232 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:32:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9812, loss_cls: 0.5955, loss: 0.5955 +2025-07-02 13:45:04,746 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:32:20, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5545, loss: 0.5545 +2025-07-02 13:45:19,954 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:32:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5235, loss: 0.5235 +2025-07-02 13:45:35,188 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:31:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9850, loss_cls: 0.5438, loss: 0.5438 +2025-07-02 13:45:50,338 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:31:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.4966, loss: 0.4966 +2025-07-02 13:46:05,516 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:30:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9844, loss_cls: 0.4940, loss: 0.4940 +2025-07-02 13:46:20,602 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:30:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5497, loss: 0.5497 +2025-07-02 13:46:32,956 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 13:46:55,908 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:46:55,919 - pyskl - INFO - +top1_acc 0.8950 +top5_acc 0.9922 +2025-07-02 13:46:55,919 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8950, top5_acc: 0.9922 +2025-07-02 13:47:31,700 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:30:44, time: 0.358, data_time: 0.206, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9838, loss_cls: 0.5294, loss: 0.5294 +2025-07-02 13:47:46,671 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:30:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 0.5317, loss: 0.5317 +2025-07-02 13:48:01,632 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:30:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9819, loss_cls: 0.5152, loss: 0.5152 +2025-07-02 13:48:16,629 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:29:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5189, loss: 0.5189 +2025-07-02 13:48:31,553 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:29:20, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9819, loss_cls: 0.5933, loss: 0.5933 +2025-07-02 13:48:46,642 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:28:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9838, loss_cls: 0.5750, loss: 0.5750 +2025-07-02 13:49:01,785 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:28:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 0.6094, loss: 0.6094 +2025-07-02 13:49:16,919 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:28:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 13:49:32,202 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:27:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 0.4650, loss: 0.4650 +2025-07-02 13:49:47,518 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:27:40, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5285, loss: 0.5285 +2025-07-02 13:50:02,665 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:27:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 0.4747, loss: 0.4747 +2025-07-02 13:50:14,968 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 13:50:38,261 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:50:38,272 - pyskl - INFO - +top1_acc 0.8839 +top5_acc 0.9941 +2025-07-02 13:50:38,272 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8839, top5_acc: 0.9941 +2025-07-02 13:51:13,920 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:27:23, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9800, loss_cls: 0.5595, loss: 0.5595 +2025-07-02 13:51:29,103 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:27:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5131, loss: 0.5131 +2025-07-02 13:51:44,292 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:26:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.5044, loss: 0.5044 +2025-07-02 13:51:59,478 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:26:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 13:52:14,653 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:26:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5658, loss: 0.5658 +2025-07-02 13:52:29,840 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:25:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5174, loss: 0.5174 +2025-07-02 13:52:44,803 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:25:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 0.5517, loss: 0.5517 +2025-07-02 13:52:59,924 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:25:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 13:53:15,140 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:24:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5022, loss: 0.5022 +2025-07-02 13:53:30,320 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:24:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6019, loss: 0.6019 +2025-07-02 13:53:45,453 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:24:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 0.5021, loss: 0.5021 +2025-07-02 13:53:57,809 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 13:54:20,747 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:54:20,757 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9937 +2025-07-02 13:54:20,758 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8902, top5_acc: 0.9937 +2025-07-02 13:54:56,747 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:24:07, time: 0.360, data_time: 0.208, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5276, loss: 0.5276 +2025-07-02 13:55:11,926 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:23:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.4992, loss: 0.4992 +2025-07-02 13:55:27,147 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:23:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5068, loss: 0.5068 +2025-07-02 13:55:42,441 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:23:09, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9831, loss_cls: 0.5004, loss: 0.5004 +2025-07-02 13:55:57,684 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:22:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 13:56:12,948 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:22:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9819, loss_cls: 0.5926, loss: 0.5926 +2025-07-02 13:56:27,985 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:22:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 0.5798, loss: 0.5798 +2025-07-02 13:56:43,158 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:21:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5200, loss: 0.5200 +2025-07-02 13:56:58,571 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:21:31, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 13:57:13,957 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:21:13, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 0.5243, loss: 0.5243 +2025-07-02 13:57:29,333 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:20:54, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5197, loss: 0.5197 +2025-07-02 13:57:41,882 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 13:58:04,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:58:04,317 - pyskl - INFO - +top1_acc 0.8879 +top5_acc 0.9941 +2025-07-02 13:58:04,318 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8879, top5_acc: 0.9941 +2025-07-02 13:58:40,675 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:20:58, time: 0.364, data_time: 0.206, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.5676, loss: 0.5676 +2025-07-02 13:58:56,329 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:20:40, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 0.4625, loss: 0.4625 +2025-07-02 13:59:12,107 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:20:23, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9850, loss_cls: 0.5419, loss: 0.5419 +2025-07-02 13:59:27,927 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:20:06, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.4955, loss: 0.4955 +2025-07-02 13:59:43,639 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:19:49, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.4735, loss: 0.4735 +2025-07-02 13:59:59,358 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:19:31, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 0.5617, loss: 0.5617 +2025-07-02 14:00:15,102 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:19:14, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4667, loss: 0.4667 +2025-07-02 14:00:30,777 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:18:56, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5349, loss: 0.5349 +2025-07-02 14:00:46,310 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:18:38, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5457, loss: 0.5457 +2025-07-02 14:01:02,293 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:18:22, time: 0.160, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9869, loss_cls: 0.5792, loss: 0.5792 +2025-07-02 14:01:18,440 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:18:06, time: 0.161, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.5363, loss: 0.5363 +2025-07-02 14:01:31,413 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 14:01:54,326 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:01:54,338 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9952 +2025-07-02 14:01:54,342 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_22.pth was removed +2025-07-02 14:01:54,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-02 14:01:54,452 - pyskl - INFO - Best top1_acc is 0.9120 at 30 epoch. +2025-07-02 14:01:54,452 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.9120, top5_acc: 0.9952 +2025-07-02 14:02:31,039 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:18:10, time: 0.366, data_time: 0.205, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.5303, loss: 0.5303 +2025-07-02 14:02:46,739 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:17:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9869, loss_cls: 0.5509, loss: 0.5509 +2025-07-02 14:03:02,490 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:17:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 0.4931, loss: 0.4931 +2025-07-02 14:03:18,231 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:17:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5536, loss: 0.5536 +2025-07-02 14:03:33,940 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:17:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5509, loss: 0.5509 +2025-07-02 14:03:49,667 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:16:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 14:04:05,314 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:16:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 0.4944, loss: 0.4944 +2025-07-02 14:04:20,965 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:16:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9812, loss_cls: 0.5867, loss: 0.5867 +2025-07-02 14:04:36,661 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:15:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.6116, loss: 0.6116 +2025-07-02 14:04:52,393 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:15:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.5933, loss: 0.5933 +2025-07-02 14:05:08,032 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:15:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9819, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 14:05:20,784 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 14:05:43,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:05:43,426 - pyskl - INFO - +top1_acc 0.8987 +top5_acc 0.9945 +2025-07-02 14:05:43,426 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8987, top5_acc: 0.9945 +2025-07-02 14:06:20,119 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:15:18, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9919, loss_cls: 0.5369, loss: 0.5369 +2025-07-02 14:06:35,749 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:15:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5326, loss: 0.5326 +2025-07-02 14:06:51,330 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:14:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5156, loss: 0.5156 +2025-07-02 14:07:06,854 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:14:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 0.5804, loss: 0.5804 +2025-07-02 14:07:22,386 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:14:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9831, loss_cls: 0.5815, loss: 0.5815 +2025-07-02 14:07:37,981 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:13:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5698, loss: 0.5698 +2025-07-02 14:07:53,611 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:13:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 0.5742, loss: 0.5742 +2025-07-02 14:08:09,204 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:13:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9912, loss_cls: 0.5441, loss: 0.5441 +2025-07-02 14:08:24,879 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:12:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9825, loss_cls: 0.5710, loss: 0.5710 +2025-07-02 14:08:40,555 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:12:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5241, loss: 0.5241 +2025-07-02 14:08:56,261 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:12:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9838, loss_cls: 0.6424, loss: 0.6424 +2025-07-02 14:09:09,126 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 14:09:31,867 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:09:31,877 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9922 +2025-07-02 14:09:31,877 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.9050, top5_acc: 0.9922 +2025-07-02 14:10:08,607 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:12:21, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9875, loss_cls: 0.4931, loss: 0.4931 +2025-07-02 14:10:24,241 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:12:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 0.5400, loss: 0.5400 +2025-07-02 14:10:39,909 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:11:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9950, loss_cls: 0.4691, loss: 0.4691 +2025-07-02 14:10:55,554 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:11:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4948, loss: 0.4948 +2025-07-02 14:11:11,244 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:11:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9925, loss_cls: 0.5637, loss: 0.5637 +2025-07-02 14:11:26,906 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:10:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 0.6037, loss: 0.6037 +2025-07-02 14:11:42,594 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:10:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9862, loss_cls: 0.5201, loss: 0.5201 +2025-07-02 14:11:58,250 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:10:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9856, loss_cls: 0.5278, loss: 0.5278 +2025-07-02 14:12:13,897 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:10:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.5268, loss: 0.5268 +2025-07-02 14:12:29,522 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:09:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.5382, loss: 0.5382 +2025-07-02 14:12:45,285 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:09:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 0.5686, loss: 0.5686 +2025-07-02 14:12:58,015 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 14:13:21,174 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:13:21,184 - pyskl - INFO - +top1_acc 0.9020 +top5_acc 0.9941 +2025-07-02 14:13:21,185 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.9020, top5_acc: 0.9941 +2025-07-02 14:13:57,780 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:09:25, time: 0.366, data_time: 0.206, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4681, loss: 0.4681 +2025-07-02 14:14:13,351 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:09:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.5326, loss: 0.5326 +2025-07-02 14:14:28,945 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:08:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5437, loss: 0.5437 +2025-07-02 14:14:44,612 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:08:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5365, loss: 0.5365 +2025-07-02 14:15:00,279 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:08:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5482, loss: 0.5482 +2025-07-02 14:15:16,132 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:07:57, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5591, loss: 0.5591 +2025-07-02 14:15:31,789 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:07:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.4917, loss: 0.4917 +2025-07-02 14:15:47,439 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:07:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5135, loss: 0.5135 +2025-07-02 14:16:03,092 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:07:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.5012, loss: 0.5012 +2025-07-02 14:16:18,770 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:06:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.4844, loss: 0.4844 +2025-07-02 14:16:34,366 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:06:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 14:16:46,982 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 14:17:09,770 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:17:09,780 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9930 +2025-07-02 14:17:09,781 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.9009, top5_acc: 0.9930 +2025-07-02 14:17:46,510 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:06:28, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4832, loss: 0.4832 +2025-07-02 14:18:02,140 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:06:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4952, loss: 0.4952 +2025-07-02 14:18:17,796 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:05:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 14:18:33,453 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:05:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4665, loss: 0.4665 +2025-07-02 14:18:49,100 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:05:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9906, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 14:19:04,769 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:05:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5438, loss: 0.5438 +2025-07-02 14:19:20,417 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:04:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 14:19:36,085 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:04:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9919, loss_cls: 0.5049, loss: 0.5049 +2025-07-02 14:19:51,821 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:04:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5435, loss: 0.5435 +2025-07-02 14:20:07,458 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:03:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5308, loss: 0.5308 +2025-07-02 14:20:23,346 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:03:33, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5158, loss: 0.5158 +2025-07-02 14:20:36,104 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 14:20:58,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:20:58,997 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9889 +2025-07-02 14:20:58,998 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.8768, top5_acc: 0.9889 +2025-07-02 14:21:35,617 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:03:31, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.5074, loss: 0.5074 +2025-07-02 14:21:51,127 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:03:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4902, loss: 0.4902 +2025-07-02 14:22:06,616 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:02:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4865, loss: 0.4865 +2025-07-02 14:22:22,036 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:02:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.5089, loss: 0.5089 +2025-07-02 14:22:37,456 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 6:02:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.5286, loss: 0.5286 +2025-07-02 14:22:52,997 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 6:02:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4669, loss: 0.4669 +2025-07-02 14:23:08,590 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 6:01:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9844, loss_cls: 0.5478, loss: 0.5478 +2025-07-02 14:23:24,222 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 6:01:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9875, loss_cls: 0.4678, loss: 0.4678 +2025-07-02 14:23:39,795 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 6:01:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.5477, loss: 0.5477 +2025-07-02 14:23:55,465 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 6:00:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5147, loss: 0.5147 +2025-07-02 14:24:11,061 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 6:00:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 0.5400, loss: 0.5400 +2025-07-02 14:24:23,842 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 14:24:46,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:24:46,787 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9926 +2025-07-02 14:24:46,787 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.9050, top5_acc: 0.9926 +2025-07-02 14:25:23,898 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 6:00:30, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4937, loss: 0.4937 +2025-07-02 14:25:39,561 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 6:00:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4384, loss: 0.4384 +2025-07-02 14:25:55,126 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5391, loss: 0.5391 +2025-07-02 14:26:10,672 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:59:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5308, loss: 0.5308 +2025-07-02 14:26:26,240 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:59:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9862, loss_cls: 0.5562, loss: 0.5562 +2025-07-02 14:26:41,930 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:59:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4609, loss: 0.4609 +2025-07-02 14:26:57,562 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:58:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 0.5504, loss: 0.5504 +2025-07-02 14:27:13,137 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:58:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.4963, loss: 0.4963 +2025-07-02 14:27:28,772 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:58:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9869, loss_cls: 0.4723, loss: 0.4723 +2025-07-02 14:27:44,831 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:57:52, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5265, loss: 0.5265 +2025-07-02 14:28:00,532 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:57:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9862, loss_cls: 0.5262, loss: 0.5262 +2025-07-02 14:28:13,332 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 14:28:36,315 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:28:36,325 - pyskl - INFO - +top1_acc 0.9024 +top5_acc 0.9967 +2025-07-02 14:28:36,326 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.9024, top5_acc: 0.9967 +2025-07-02 14:29:12,971 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:57:30, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5212, loss: 0.5212 +2025-07-02 14:29:28,536 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:57:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5191, loss: 0.5191 +2025-07-02 14:29:44,120 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:56:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 0.4689, loss: 0.4689 +2025-07-02 14:29:59,759 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:56:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4662, loss: 0.4662 +2025-07-02 14:30:15,347 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:56:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9825, loss_cls: 0.6000, loss: 0.6000 +2025-07-02 14:30:31,030 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:56:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5011, loss: 0.5011 +2025-07-02 14:30:46,890 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:55:45, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5276, loss: 0.5276 +2025-07-02 14:31:02,549 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:55:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4770, loss: 0.4770 +2025-07-02 14:31:18,193 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:55:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.5004, loss: 0.5004 +2025-07-02 14:31:33,755 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:54:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5072, loss: 0.5072 +2025-07-02 14:31:49,398 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:54:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5567, loss: 0.5567 +2025-07-02 14:32:02,143 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 14:32:24,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:32:24,901 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9948 +2025-07-02 14:32:24,905 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_30.pth was removed +2025-07-02 14:32:25,015 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. +2025-07-02 14:32:25,016 - pyskl - INFO - Best top1_acc is 0.9175 at 38 epoch. +2025-07-02 14:32:25,017 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.9175, top5_acc: 0.9948 +2025-07-02 14:33:01,652 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:54:29, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5008, loss: 0.5008 +2025-07-02 14:33:17,213 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:54:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 14:33:32,769 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:53:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9838, loss_cls: 0.5382, loss: 0.5382 +2025-07-02 14:33:48,348 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:53:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4638, loss: 0.4638 +2025-07-02 14:34:03,936 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:53:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 0.5407, loss: 0.5407 +2025-07-02 14:34:19,551 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:53:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.4955, loss: 0.4955 +2025-07-02 14:34:35,189 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:52:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4818, loss: 0.4818 +2025-07-02 14:34:50,816 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:52:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9869, loss_cls: 0.4943, loss: 0.4943 +2025-07-02 14:35:06,392 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:52:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9831, loss_cls: 0.5319, loss: 0.5319 +2025-07-02 14:35:22,029 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:51:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4614, loss: 0.4614 +2025-07-02 14:35:37,702 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:51:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9862, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 14:35:50,530 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 14:36:13,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:36:13,849 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9959 +2025-07-02 14:36:13,850 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8964, top5_acc: 0.9959 +2025-07-02 14:36:50,606 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:51:27, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5200, loss: 0.5200 +2025-07-02 14:37:06,258 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:51:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.4907, loss: 0.4907 +2025-07-02 14:37:21,881 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:50:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5031, loss: 0.5031 +2025-07-02 14:37:37,434 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:50:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9869, loss_cls: 0.4565, loss: 0.4565 +2025-07-02 14:37:53,012 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:50:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 14:38:08,642 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:49:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9881, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 14:38:24,276 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:49:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9881, loss_cls: 0.4702, loss: 0.4702 +2025-07-02 14:38:39,890 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:49:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4524, loss: 0.4524 +2025-07-02 14:38:55,544 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:49:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.5036, loss: 0.5036 +2025-07-02 14:39:11,020 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:48:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 14:39:26,586 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:48:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 0.5384, loss: 0.5384 +2025-07-02 14:39:39,212 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 14:40:02,090 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:40:02,100 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9956 +2025-07-02 14:40:02,101 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.9161, top5_acc: 0.9956 +2025-07-02 14:40:38,710 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:48:24, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.4208, loss: 0.4208 +2025-07-02 14:40:54,289 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:48:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.4009, loss: 0.4009 +2025-07-02 14:41:09,804 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:47:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.4792, loss: 0.4792 +2025-07-02 14:41:25,356 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:47:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9869, loss_cls: 0.4765, loss: 0.4765 +2025-07-02 14:41:40,969 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:47:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.4903, loss: 0.4903 +2025-07-02 14:41:56,626 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:46:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.5100, loss: 0.5100 +2025-07-02 14:42:12,251 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:46:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5424, loss: 0.5424 +2025-07-02 14:42:27,820 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:46:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.4845, loss: 0.4845 +2025-07-02 14:42:43,435 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:46:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.4747, loss: 0.4747 +2025-07-02 14:42:59,220 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:45:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 14:43:14,841 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:45:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9869, loss_cls: 0.4792, loss: 0.4792 +2025-07-02 14:43:27,554 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 14:43:50,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:43:50,536 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9896 +2025-07-02 14:43:50,536 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.8876, top5_acc: 0.9896 +2025-07-02 14:44:27,241 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:45:20, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9850, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 14:44:42,932 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:45:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.4584, loss: 0.4584 +2025-07-02 14:44:58,560 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:44:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.4676, loss: 0.4676 +2025-07-02 14:45:14,203 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:44:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 0.4913, loss: 0.4913 +2025-07-02 14:45:29,889 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:44:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4558, loss: 0.4558 +2025-07-02 14:45:45,633 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:43:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4705, loss: 0.4705 +2025-07-02 14:46:01,315 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:43:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4631, loss: 0.4631 +2025-07-02 14:46:16,915 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:43:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5175, loss: 0.5175 +2025-07-02 14:46:32,474 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:43:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.5050, loss: 0.5050 +2025-07-02 14:46:48,218 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:42:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4589, loss: 0.4589 +2025-07-02 14:47:03,801 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:42:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.4831, loss: 0.4831 +2025-07-02 14:47:16,588 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 14:47:39,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:47:39,228 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9952 +2025-07-02 14:47:39,232 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_38.pth was removed +2025-07-02 14:47:39,343 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2025-07-02 14:47:39,344 - pyskl - INFO - Best top1_acc is 0.9253 at 42 epoch. +2025-07-02 14:47:39,345 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9253, top5_acc: 0.9952 +2025-07-02 14:48:16,530 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:42:19, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4530, loss: 0.4530 +2025-07-02 14:48:32,154 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:42:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9900, loss_cls: 0.4574, loss: 0.4574 +2025-07-02 14:48:47,741 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:41:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.4814, loss: 0.4814 +2025-07-02 14:49:03,342 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:41:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4541, loss: 0.4541 +2025-07-02 14:49:18,947 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:41:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.4965, loss: 0.4965 +2025-07-02 14:49:34,570 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:40:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4514, loss: 0.4514 +2025-07-02 14:49:50,197 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:40:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4738, loss: 0.4738 +2025-07-02 14:50:05,805 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:40:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 14:50:21,419 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:39:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4609, loss: 0.4609 +2025-07-02 14:50:37,294 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:39:42, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5370, loss: 0.5370 +2025-07-02 14:50:53,013 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:39:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.4598, loss: 0.4598 +2025-07-02 14:51:05,848 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 14:51:28,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:51:28,841 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9930 +2025-07-02 14:51:28,841 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.9168, top5_acc: 0.9930 +2025-07-02 14:52:05,909 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:39:17, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.4465, loss: 0.4465 +2025-07-02 14:52:21,507 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:38:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 14:52:37,113 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:38:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.4828, loss: 0.4828 +2025-07-02 14:52:52,720 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:38:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4560, loss: 0.4560 +2025-07-02 14:53:08,386 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:38:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 0.4546, loss: 0.4546 +2025-07-02 14:53:24,043 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:37:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 0.4790, loss: 0.4790 +2025-07-02 14:53:39,614 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:37:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5403, loss: 0.5403 +2025-07-02 14:53:55,264 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:37:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9938, loss_cls: 0.5262, loss: 0.5262 +2025-07-02 14:54:10,877 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:36:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 14:54:26,602 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:36:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4145, loss: 0.4145 +2025-07-02 14:54:42,283 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:36:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9881, loss_cls: 0.4966, loss: 0.4966 +2025-07-02 14:54:55,015 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 14:55:17,979 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:55:17,989 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9959 +2025-07-02 14:55:17,989 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.8913, top5_acc: 0.9959 +2025-07-02 14:55:54,949 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:36:13, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.4790, loss: 0.4790 +2025-07-02 14:56:10,577 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:35:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4123, loss: 0.4123 +2025-07-02 14:56:26,203 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:35:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.5042, loss: 0.5042 +2025-07-02 14:56:41,821 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:35:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 0.5010, loss: 0.5010 +2025-07-02 14:56:57,402 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:35:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 14:57:12,979 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:34:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4727, loss: 0.4727 +2025-07-02 14:57:28,606 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:34:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4370, loss: 0.4370 +2025-07-02 14:57:44,233 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:34:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.5018, loss: 0.5018 +2025-07-02 14:57:59,969 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:33:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.4943, loss: 0.4943 +2025-07-02 14:58:15,727 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:33:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 0.4306, loss: 0.4306 +2025-07-02 14:58:31,478 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:33:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5304, loss: 0.5304 +2025-07-02 14:58:44,497 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 14:59:07,318 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:59:07,329 - pyskl - INFO - +top1_acc 0.8994 +top5_acc 0.9948 +2025-07-02 14:59:07,329 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8994, top5_acc: 0.9948 +2025-07-02 14:59:44,799 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:33:11, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4064, loss: 0.4064 +2025-07-02 15:00:00,410 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:32:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.4930, loss: 0.4930 +2025-07-02 15:00:16,022 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:32:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 15:00:31,714 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:32:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.4205, loss: 0.4205 +2025-07-02 15:00:47,693 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:32:02, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4345, loss: 0.4345 +2025-07-02 15:01:03,303 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:31:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4368, loss: 0.4368 +2025-07-02 15:01:18,902 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:31:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4967, loss: 0.4967 +2025-07-02 15:01:34,506 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:31:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.4797, loss: 0.4797 +2025-07-02 15:01:50,196 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:30:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4878, loss: 0.4878 +2025-07-02 15:02:05,903 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:30:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5121, loss: 0.5121 +2025-07-02 15:02:21,575 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:30:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4990, loss: 0.4990 +2025-07-02 15:02:34,354 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 15:02:56,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:02:56,839 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9941 +2025-07-02 15:02:56,839 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9098, top5_acc: 0.9941 +2025-07-02 15:03:33,948 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:30:08, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.4555, loss: 0.4555 +2025-07-02 15:03:49,599 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:29:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 15:04:05,240 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:29:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 15:04:20,858 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:29:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4001, loss: 0.4001 +2025-07-02 15:04:36,584 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:28:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4451, loss: 0.4451 +2025-07-02 15:04:52,210 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:28:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.4951, loss: 0.4951 +2025-07-02 15:05:07,875 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:28:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9856, loss_cls: 0.5143, loss: 0.5143 +2025-07-02 15:05:23,552 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:28:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9875, loss_cls: 0.4515, loss: 0.4515 +2025-07-02 15:05:39,185 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:27:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4623, loss: 0.4623 +2025-07-02 15:05:54,812 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:27:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4537, loss: 0.4537 +2025-07-02 15:06:10,449 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:27:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4875, loss: 0.4875 +2025-07-02 15:06:23,239 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 15:06:46,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:06:46,213 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9900 +2025-07-02 15:06:46,214 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.8891, top5_acc: 0.9900 +2025-07-02 15:07:23,713 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:27:05, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4136, loss: 0.4136 +2025-07-02 15:07:39,399 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:26:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.5154, loss: 0.5154 +2025-07-02 15:07:55,058 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:26:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4574, loss: 0.4574 +2025-07-02 15:08:10,727 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:26:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.4429, loss: 0.4429 +2025-07-02 15:08:26,256 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:25:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4640, loss: 0.4640 +2025-07-02 15:08:41,808 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:25:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4278, loss: 0.4278 +2025-07-02 15:08:57,470 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:25:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4073, loss: 0.4073 +2025-07-02 15:09:13,056 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:25:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 0.4816, loss: 0.4816 +2025-07-02 15:09:28,786 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:24:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4416, loss: 0.4416 +2025-07-02 15:09:44,729 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:24:29, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4467, loss: 0.4467 +2025-07-02 15:10:00,622 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:24:12, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4664, loss: 0.4664 +2025-07-02 15:10:13,438 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 15:10:36,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:10:36,197 - pyskl - INFO - +top1_acc 0.9001 +top5_acc 0.9900 +2025-07-02 15:10:36,197 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.9001, top5_acc: 0.9900 +2025-07-02 15:11:13,550 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:24:02, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9888, loss_cls: 0.4236, loss: 0.4236 +2025-07-02 15:11:29,102 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:23:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4103, loss: 0.4103 +2025-07-02 15:11:44,621 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:23:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9894, loss_cls: 0.4558, loss: 0.4558 +2025-07-02 15:12:00,167 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:23:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.3963, loss: 0.3963 +2025-07-02 15:12:15,792 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:22:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.4213, loss: 0.4213 +2025-07-02 15:12:31,440 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:22:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 15:12:47,013 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:22:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 0.4817, loss: 0.4817 +2025-07-02 15:13:02,612 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:21:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9881, loss_cls: 0.4799, loss: 0.4799 +2025-07-02 15:13:18,287 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:21:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4386, loss: 0.4386 +2025-07-02 15:13:34,056 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:21:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4679, loss: 0.4679 +2025-07-02 15:13:49,841 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:21:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.4823, loss: 0.4823 +2025-07-02 15:14:02,739 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 15:14:25,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:14:25,961 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9919 +2025-07-02 15:14:25,962 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9112, top5_acc: 0.9919 +2025-07-02 15:15:03,335 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:20:57, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3801, loss: 0.3801 +2025-07-02 15:15:18,898 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:20:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 15:15:34,496 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:20:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4457, loss: 0.4457 +2025-07-02 15:15:50,127 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:20:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.3898, loss: 0.3898 +2025-07-02 15:16:05,752 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:19:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.4844, loss: 0.4844 +2025-07-02 15:16:21,423 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:19:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4396, loss: 0.4396 +2025-07-02 15:16:37,099 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:19:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9869, loss_cls: 0.4722, loss: 0.4722 +2025-07-02 15:16:52,815 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:18:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 0.4416, loss: 0.4416 +2025-07-02 15:17:08,678 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:18:39, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4397, loss: 0.4397 +2025-07-02 15:17:24,495 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:18:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4331, loss: 0.4331 +2025-07-02 15:17:40,255 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:18:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4705, loss: 0.4705 +2025-07-02 15:17:53,090 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 15:18:16,485 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:18:16,496 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9915 +2025-07-02 15:18:16,496 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8828, top5_acc: 0.9915 +2025-07-02 15:18:54,598 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:17:54, time: 0.381, data_time: 0.221, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5401, loss: 0.5401 +2025-07-02 15:19:10,237 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:17:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.4885, loss: 0.4885 +2025-07-02 15:19:25,888 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:17:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4547, loss: 0.4547 +2025-07-02 15:19:41,532 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:17:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4106, loss: 0.4106 +2025-07-02 15:19:57,110 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:16:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 15:20:12,718 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:16:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4350, loss: 0.4350 +2025-07-02 15:20:28,650 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:16:11, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4453, loss: 0.4453 +2025-07-02 15:20:44,541 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:15:54, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4892, loss: 0.4892 +2025-07-02 15:21:00,349 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:15:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 15:21:16,510 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:15:21, time: 0.162, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9881, loss_cls: 0.4357, loss: 0.4357 +2025-07-02 15:21:32,453 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:15:04, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9900, loss_cls: 0.4094, loss: 0.4094 +2025-07-02 15:21:45,271 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 15:22:08,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:22:08,600 - pyskl - INFO - +top1_acc 0.9260 +top5_acc 0.9956 +2025-07-02 15:22:08,604 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_42.pth was removed +2025-07-02 15:22:08,725 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. +2025-07-02 15:22:08,726 - pyskl - INFO - Best top1_acc is 0.9260 at 51 epoch. +2025-07-02 15:22:08,727 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.9260, top5_acc: 0.9956 +2025-07-02 15:22:46,231 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:14:52, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4285, loss: 0.4285 +2025-07-02 15:23:01,798 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:14:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 15:23:17,392 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:14:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 15:23:32,971 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:14:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3914, loss: 0.3914 +2025-07-02 15:23:48,571 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:13:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4240, loss: 0.4240 +2025-07-02 15:24:04,258 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:13:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9862, loss_cls: 0.4241, loss: 0.4241 +2025-07-02 15:24:19,999 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:13:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 15:24:35,943 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:12:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4355, loss: 0.4355 +2025-07-02 15:24:51,755 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:12:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.4956, loss: 0.4956 +2025-07-02 15:25:07,417 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:12:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4428, loss: 0.4428 +2025-07-02 15:25:23,282 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:12:00, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4331, loss: 0.4331 +2025-07-02 15:25:36,140 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 15:26:00,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:26:00,183 - pyskl - INFO - +top1_acc 0.9105 +top5_acc 0.9956 +2025-07-02 15:26:00,183 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9105, top5_acc: 0.9956 +2025-07-02 15:26:38,136 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:11:48, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.3936, loss: 0.3936 +2025-07-02 15:26:53,692 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:11:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4082, loss: 0.4082 +2025-07-02 15:27:09,278 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:11:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4142, loss: 0.4142 +2025-07-02 15:27:24,847 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:10:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4231, loss: 0.4231 +2025-07-02 15:27:40,450 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:10:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4339, loss: 0.4339 +2025-07-02 15:27:56,109 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:10:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4434, loss: 0.4434 +2025-07-02 15:28:11,809 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:10:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3826, loss: 0.3826 +2025-07-02 15:28:27,413 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:09:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.4208, loss: 0.4208 +2025-07-02 15:28:43,398 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:09:30, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9956, loss_cls: 0.4107, loss: 0.4107 +2025-07-02 15:28:59,178 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:09:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3863, loss: 0.3863 +2025-07-02 15:29:14,839 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:08:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4782, loss: 0.4782 +2025-07-02 15:29:27,628 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 15:29:51,124 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:29:51,135 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9952 +2025-07-02 15:29:51,139 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_51.pth was removed +2025-07-02 15:29:51,255 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. +2025-07-02 15:29:51,256 - pyskl - INFO - Best top1_acc is 0.9364 at 53 epoch. +2025-07-02 15:29:51,257 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9364, top5_acc: 0.9952 +2025-07-02 15:30:29,093 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:08:44, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 0.3477, loss: 0.3477 +2025-07-02 15:30:44,722 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:08:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4036, loss: 0.4036 +2025-07-02 15:31:00,280 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:08:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9906, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 15:31:15,857 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:07:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 15:31:31,414 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:07:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 15:31:47,065 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:07:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4228, loss: 0.4228 +2025-07-02 15:32:02,761 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:07:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4394, loss: 0.4394 +2025-07-02 15:32:18,405 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:06:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4746, loss: 0.4746 +2025-07-02 15:32:34,041 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:06:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3842, loss: 0.3842 +2025-07-02 15:32:49,663 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:06:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9888, loss_cls: 0.4467, loss: 0.4467 +2025-07-02 15:33:05,587 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:05:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3997, loss: 0.3997 +2025-07-02 15:33:18,488 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 15:33:41,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:33:41,878 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9933 +2025-07-02 15:33:41,878 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8976, top5_acc: 0.9933 +2025-07-02 15:34:19,455 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:05:38, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4666, loss: 0.4666 +2025-07-02 15:34:35,100 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:05:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4147, loss: 0.4147 +2025-07-02 15:34:50,680 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:05:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3856, loss: 0.3856 +2025-07-02 15:35:06,247 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:04:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.3983, loss: 0.3983 +2025-07-02 15:35:21,822 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:04:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4687, loss: 0.4687 +2025-07-02 15:35:37,468 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:04:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4108, loss: 0.4108 +2025-07-02 15:35:53,133 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:03:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4534, loss: 0.4534 +2025-07-02 15:36:08,923 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:03:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4069, loss: 0.4069 +2025-07-02 15:36:24,720 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:03:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3597, loss: 0.3597 +2025-07-02 15:36:40,452 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:03:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4219, loss: 0.4219 +2025-07-02 15:36:56,112 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:02:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4010, loss: 0.4010 +2025-07-02 15:37:09,123 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 15:37:32,590 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:37:32,601 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9952 +2025-07-02 15:37:32,601 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.9234, top5_acc: 0.9952 +2025-07-02 15:38:10,579 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:02:32, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4276, loss: 0.4276 +2025-07-02 15:38:26,163 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:02:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 0.3669, loss: 0.3669 +2025-07-02 15:38:41,692 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:01:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4348, loss: 0.4348 +2025-07-02 15:38:57,218 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 5:01:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.4041, loss: 0.4041 +2025-07-02 15:39:12,784 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 5:01:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3885, loss: 0.3885 +2025-07-02 15:39:28,538 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 5:01:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4263, loss: 0.4263 +2025-07-02 15:39:44,163 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 5:00:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9862, loss_cls: 0.4487, loss: 0.4487 +2025-07-02 15:39:59,799 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 5:00:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3632, loss: 0.3632 +2025-07-02 15:40:15,425 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 5:00:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 0.4479, loss: 0.4479 +2025-07-02 15:40:31,118 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:59:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.3973, loss: 0.3973 +2025-07-02 15:40:46,971 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:59:40, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4556, loss: 0.4556 +2025-07-02 15:40:59,914 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 15:41:23,297 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:41:23,307 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9959 +2025-07-02 15:41:23,308 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9231, top5_acc: 0.9959 +2025-07-02 15:42:01,044 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:59:26, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4380, loss: 0.4380 +2025-07-02 15:42:16,673 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:59:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4119, loss: 0.4119 +2025-07-02 15:42:32,297 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:58:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9888, loss_cls: 0.4513, loss: 0.4513 +2025-07-02 15:42:47,917 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:58:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3901, loss: 0.3901 +2025-07-02 15:43:03,589 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:58:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.4005, loss: 0.4005 +2025-07-02 15:43:19,346 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:58:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 0.3998, loss: 0.3998 +2025-07-02 15:43:35,044 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:57:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 0.4780, loss: 0.4780 +2025-07-02 15:43:51,059 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:57:26, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 0.4212, loss: 0.4212 +2025-07-02 15:44:06,909 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:57:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4076, loss: 0.4076 +2025-07-02 15:44:22,620 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:56:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.4248, loss: 0.4248 +2025-07-02 15:44:38,247 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:56:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 0.4452, loss: 0.4452 +2025-07-02 15:44:51,058 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 15:45:14,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:45:14,612 - pyskl - INFO - +top1_acc 0.9116 +top5_acc 0.9945 +2025-07-02 15:45:14,613 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.9116, top5_acc: 0.9945 +2025-07-02 15:45:52,189 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:56:20, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3969, loss: 0.3969 +2025-07-02 15:46:07,785 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:56:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 0.3560, loss: 0.3560 +2025-07-02 15:46:23,603 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:55:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3565, loss: 0.3565 +2025-07-02 15:46:39,516 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:55:29, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4186, loss: 0.4186 +2025-07-02 15:46:55,206 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:55:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 15:47:10,955 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:54:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4116, loss: 0.4116 +2025-07-02 15:47:26,691 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:54:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.4471, loss: 0.4471 +2025-07-02 15:47:42,423 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:54:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4198, loss: 0.4198 +2025-07-02 15:47:58,113 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:54:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 15:48:13,820 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:53:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9894, loss_cls: 0.4448, loss: 0.4448 +2025-07-02 15:48:29,554 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:53:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4393, loss: 0.4393 +2025-07-02 15:48:42,474 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 15:49:05,964 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:49:05,974 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9863 +2025-07-02 15:49:05,975 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9127, top5_acc: 0.9863 +2025-07-02 15:49:43,695 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:53:15, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3293, loss: 0.3293 +2025-07-02 15:49:59,227 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:52:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3465, loss: 0.3465 +2025-07-02 15:50:14,759 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:52:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 15:50:30,373 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:52:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9888, loss_cls: 0.3596, loss: 0.3596 +2025-07-02 15:50:45,981 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:52:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.4092, loss: 0.4092 +2025-07-02 15:51:01,630 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:51:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3728, loss: 0.3728 +2025-07-02 15:51:17,300 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:51:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9881, loss_cls: 0.4297, loss: 0.4297 +2025-07-02 15:51:33,025 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:51:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3918, loss: 0.3918 +2025-07-02 15:51:48,615 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:50:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4415, loss: 0.4415 +2025-07-02 15:52:04,241 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:50:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 0.4126, loss: 0.4126 +2025-07-02 15:52:19,833 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:50:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.3918, loss: 0.3918 +2025-07-02 15:52:32,691 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 15:52:56,472 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:52:56,482 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9945 +2025-07-02 15:52:56,483 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9209, top5_acc: 0.9945 +2025-07-02 15:53:33,944 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:50:07, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3682, loss: 0.3682 +2025-07-02 15:53:49,599 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:49:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.3933, loss: 0.3933 +2025-07-02 15:54:05,224 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:49:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3891, loss: 0.3891 +2025-07-02 15:54:20,814 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3574, loss: 0.3574 +2025-07-02 15:54:36,560 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:48:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3774, loss: 0.3774 +2025-07-02 15:54:52,243 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:48:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4107, loss: 0.4107 +2025-07-02 15:55:08,024 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:48:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9894, loss_cls: 0.4322, loss: 0.4322 +2025-07-02 15:55:23,842 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:48:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9900, loss_cls: 0.3936, loss: 0.3936 +2025-07-02 15:55:39,538 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:47:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9950, loss_cls: 0.4362, loss: 0.4362 +2025-07-02 15:55:55,222 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:47:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 0.3957, loss: 0.3957 +2025-07-02 15:56:10,944 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:47:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4182, loss: 0.4182 +2025-07-02 15:56:23,794 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 15:56:47,202 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:56:47,212 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9956 +2025-07-02 15:56:47,213 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9216, top5_acc: 0.9956 +2025-07-02 15:57:25,160 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:47:00, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4029, loss: 0.4029 +2025-07-02 15:57:40,979 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:46:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4043, loss: 0.4043 +2025-07-02 15:57:56,635 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:46:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3291, loss: 0.3291 +2025-07-02 15:58:12,233 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:46:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3608, loss: 0.3608 +2025-07-02 15:58:28,104 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:45:52, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3621, loss: 0.3621 +2025-07-02 15:58:43,828 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:45:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4067, loss: 0.4067 +2025-07-02 15:58:59,562 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:45:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9856, loss_cls: 0.4219, loss: 0.4219 +2025-07-02 15:59:15,205 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:45:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3784, loss: 0.3784 +2025-07-02 15:59:30,827 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:44:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4183, loss: 0.4183 +2025-07-02 15:59:46,535 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:44:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4334, loss: 0.4334 +2025-07-02 16:00:02,271 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:44:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4129, loss: 0.4129 +2025-07-02 16:00:15,105 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 16:00:38,873 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:00:38,883 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9922 +2025-07-02 16:00:38,884 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9161, top5_acc: 0.9922 +2025-07-02 16:01:16,366 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:43:53, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.3765, loss: 0.3765 +2025-07-02 16:01:31,898 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:43:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9900, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 16:01:47,392 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:43:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3288, loss: 0.3288 +2025-07-02 16:02:02,839 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:43:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3908, loss: 0.3908 +2025-07-02 16:02:18,513 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:42:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.3959, loss: 0.3959 +2025-07-02 16:02:34,196 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:42:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3782, loss: 0.3782 +2025-07-02 16:02:49,851 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:42:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3542, loss: 0.3542 +2025-07-02 16:03:05,615 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:41:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.4082, loss: 0.4082 +2025-07-02 16:03:21,545 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:41:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3376, loss: 0.3376 +2025-07-02 16:03:37,421 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:41:19, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.4057, loss: 0.4057 +2025-07-02 16:03:53,290 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:41:03, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4305, loss: 0.4305 +2025-07-02 16:04:06,276 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 16:04:29,490 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:04:29,500 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9956 +2025-07-02 16:04:29,501 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9338, top5_acc: 0.9956 +2025-07-02 16:05:07,029 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:40:46, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3621, loss: 0.3621 +2025-07-02 16:05:22,720 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:40:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9894, loss_cls: 0.3788, loss: 0.3788 +2025-07-02 16:05:38,392 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:40:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3967, loss: 0.3967 +2025-07-02 16:05:54,071 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:39:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 16:06:09,772 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:39:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4013, loss: 0.4013 +2025-07-02 16:06:25,497 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:39:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3996, loss: 0.3996 +2025-07-02 16:06:41,191 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:39:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.3985, loss: 0.3985 +2025-07-02 16:06:56,772 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:38:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9850, loss_cls: 0.4443, loss: 0.4443 +2025-07-02 16:07:12,332 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:38:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3872, loss: 0.3872 +2025-07-02 16:07:27,956 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:38:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 0.4215, loss: 0.4215 +2025-07-02 16:07:43,658 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:37:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9881, loss_cls: 0.3710, loss: 0.3710 +2025-07-02 16:07:56,543 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 16:08:20,512 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:08:20,522 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9952 +2025-07-02 16:08:20,523 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.9345, top5_acc: 0.9952 +2025-07-02 16:08:58,220 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:37:38, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3176, loss: 0.3176 +2025-07-02 16:09:13,890 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:37:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 16:09:29,490 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:37:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9875, loss_cls: 0.3879, loss: 0.3879 +2025-07-02 16:09:45,120 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:36:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.3717, loss: 0.3717 +2025-07-02 16:10:00,879 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:36:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4193, loss: 0.4193 +2025-07-02 16:10:16,753 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:36:13, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4103, loss: 0.4103 +2025-07-02 16:10:32,452 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:35:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3605, loss: 0.3605 +2025-07-02 16:10:47,971 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:35:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3547, loss: 0.3547 +2025-07-02 16:11:03,582 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:35:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3124, loss: 0.3124 +2025-07-02 16:11:19,175 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:35:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3482, loss: 0.3482 +2025-07-02 16:11:34,771 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:34:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.4057, loss: 0.4057 +2025-07-02 16:11:47,681 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 16:12:11,075 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:12:11,085 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9978 +2025-07-02 16:12:11,086 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9297, top5_acc: 0.9978 +2025-07-02 16:12:48,738 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:34:30, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3731, loss: 0.3731 +2025-07-02 16:13:04,338 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:34:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.3969, loss: 0.3969 +2025-07-02 16:13:20,047 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:33:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3814, loss: 0.3814 +2025-07-02 16:13:35,858 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:33:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3759, loss: 0.3759 +2025-07-02 16:13:51,658 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:33:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3325, loss: 0.3325 +2025-07-02 16:14:07,300 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:33:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9931, loss_cls: 0.3211, loss: 0.3211 +2025-07-02 16:14:23,087 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:32:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9869, loss_cls: 0.3722, loss: 0.3722 +2025-07-02 16:14:38,890 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:32:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4376, loss: 0.4376 +2025-07-02 16:14:54,692 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:32:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3534, loss: 0.3534 +2025-07-02 16:15:10,382 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:31:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 16:15:26,089 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:31:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 16:15:38,892 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 16:16:02,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:16:02,014 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9945 +2025-07-02 16:16:02,014 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9197, top5_acc: 0.9945 +2025-07-02 16:16:39,936 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:31:23, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3381, loss: 0.3381 +2025-07-02 16:16:55,548 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:31:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3188, loss: 0.3188 +2025-07-02 16:17:11,159 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:30:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9919, loss_cls: 0.3425, loss: 0.3425 +2025-07-02 16:17:26,813 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:30:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3512, loss: 0.3512 +2025-07-02 16:17:42,456 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:30:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9869, loss_cls: 0.4426, loss: 0.4426 +2025-07-02 16:17:58,136 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:29:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9900, loss_cls: 0.3635, loss: 0.3635 +2025-07-02 16:18:13,904 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:29:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3593, loss: 0.3593 +2025-07-02 16:18:29,668 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:29:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.3960, loss: 0.3960 +2025-07-02 16:18:45,341 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:29:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 16:19:00,940 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:28:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3522, loss: 0.3522 +2025-07-02 16:19:16,538 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:28:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9888, loss_cls: 0.3933, loss: 0.3933 +2025-07-02 16:19:29,341 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 16:19:52,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:19:52,700 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9956 +2025-07-02 16:19:52,700 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9220, top5_acc: 0.9956 +2025-07-02 16:20:30,195 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:28:14, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3469, loss: 0.3469 +2025-07-02 16:20:45,743 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:27:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3140, loss: 0.3140 +2025-07-02 16:21:01,299 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:27:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9938, loss_cls: 0.2745, loss: 0.2745 +2025-07-02 16:21:17,080 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:27:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3540, loss: 0.3540 +2025-07-02 16:21:32,813 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:27:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 16:21:48,421 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:26:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4056, loss: 0.4056 +2025-07-02 16:22:04,062 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:26:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3928, loss: 0.3928 +2025-07-02 16:22:19,736 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:26:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3867, loss: 0.3867 +2025-07-02 16:22:35,474 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:25:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 0.3122, loss: 0.3122 +2025-07-02 16:22:51,144 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:25:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3500, loss: 0.3500 +2025-07-02 16:23:06,835 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:25:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 16:23:19,802 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 16:23:43,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:23:43,556 - pyskl - INFO - +top1_acc 0.9142 +top5_acc 0.9922 +2025-07-02 16:23:43,556 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9142, top5_acc: 0.9922 +2025-07-02 16:24:21,350 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:25:05, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3415, loss: 0.3415 +2025-07-02 16:24:36,960 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:24:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3137, loss: 0.3137 +2025-07-02 16:24:52,629 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:24:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 16:25:08,294 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:24:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3702, loss: 0.3702 +2025-07-02 16:25:23,976 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:23:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3501, loss: 0.3501 +2025-07-02 16:25:39,613 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:23:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.4031, loss: 0.4031 +2025-07-02 16:25:55,230 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:23:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 0.3877, loss: 0.3877 +2025-07-02 16:26:10,806 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:23:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3488, loss: 0.3488 +2025-07-02 16:26:26,559 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:22:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 16:26:42,306 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:22:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9906, loss_cls: 0.3581, loss: 0.3581 +2025-07-02 16:26:58,075 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:22:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3605, loss: 0.3605 +2025-07-02 16:27:10,918 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 16:27:34,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:27:34,165 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9948 +2025-07-02 16:27:34,166 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9127, top5_acc: 0.9948 +2025-07-02 16:28:11,514 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:21:56, time: 0.373, data_time: 0.215, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3660, loss: 0.3660 +2025-07-02 16:28:27,076 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:21:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9919, loss_cls: 0.3350, loss: 0.3350 +2025-07-02 16:28:42,657 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:21:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3389, loss: 0.3389 +2025-07-02 16:28:58,235 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:21:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3202, loss: 0.3202 +2025-07-02 16:29:13,844 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:20:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3983, loss: 0.3983 +2025-07-02 16:29:29,472 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:20:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3381, loss: 0.3381 +2025-07-02 16:29:45,083 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:20:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 16:30:00,745 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:19:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.4009, loss: 0.4009 +2025-07-02 16:30:16,325 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:19:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 0.3704, loss: 0.3704 +2025-07-02 16:30:31,836 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:19:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3644, loss: 0.3644 +2025-07-02 16:30:47,488 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:19:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.3757, loss: 0.3757 +2025-07-02 16:31:00,420 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 16:31:23,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:31:23,993 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9967 +2025-07-02 16:31:23,993 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9308, top5_acc: 0.9967 +2025-07-02 16:32:01,258 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:18:46, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 16:32:16,880 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:18:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3182, loss: 0.3182 +2025-07-02 16:32:32,495 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:18:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 0.3415, loss: 0.3415 +2025-07-02 16:32:48,306 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:17:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.3965, loss: 0.3965 +2025-07-02 16:33:04,000 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:17:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 16:33:19,754 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:17:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9912, loss_cls: 0.3175, loss: 0.3175 +2025-07-02 16:33:35,523 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:17:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 16:33:51,205 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:16:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 0.3566, loss: 0.3566 +2025-07-02 16:34:06,933 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:16:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3051, loss: 0.3051 +2025-07-02 16:34:22,751 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:16:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3601, loss: 0.3601 +2025-07-02 16:34:38,496 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:15:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3388, loss: 0.3388 +2025-07-02 16:34:51,245 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 16:35:14,506 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:35:14,517 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9956 +2025-07-02 16:35:14,517 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9242, top5_acc: 0.9956 +2025-07-02 16:35:52,110 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:15:37, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 16:36:07,753 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:15:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3677, loss: 0.3677 +2025-07-02 16:36:23,474 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:15:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9906, loss_cls: 0.3594, loss: 0.3594 +2025-07-02 16:36:39,331 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:14:47, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2979, loss: 0.2979 +2025-07-02 16:36:54,981 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:14:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2718, loss: 0.2718 +2025-07-02 16:37:10,657 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:14:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3288, loss: 0.3288 +2025-07-02 16:37:26,318 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:13:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3671, loss: 0.3671 +2025-07-02 16:37:42,286 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:13:39, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 0.3799, loss: 0.3799 +2025-07-02 16:37:58,233 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:13:22, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3341, loss: 0.3341 +2025-07-02 16:38:13,998 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:13:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3179, loss: 0.3179 +2025-07-02 16:38:29,716 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:12:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2864, loss: 0.2864 +2025-07-02 16:38:42,552 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 16:39:06,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:39:06,255 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9956 +2025-07-02 16:39:06,256 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9242, top5_acc: 0.9956 +2025-07-02 16:39:43,875 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:12:29, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2875, loss: 0.2875 +2025-07-02 16:39:59,477 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:12:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3201, loss: 0.3201 +2025-07-02 16:40:15,326 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:11:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2811, loss: 0.2811 +2025-07-02 16:40:31,195 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:11:38, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.2822, loss: 0.2822 +2025-07-02 16:40:46,907 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:11:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3484, loss: 0.3484 +2025-07-02 16:41:02,681 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:11:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2880, loss: 0.2880 +2025-07-02 16:41:18,594 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:10:48, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3485, loss: 0.3485 +2025-07-02 16:41:34,363 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:10:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3284, loss: 0.3284 +2025-07-02 16:41:50,083 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:10:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3188, loss: 0.3188 +2025-07-02 16:42:05,938 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:09:57, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 0.3888, loss: 0.3888 +2025-07-02 16:42:21,627 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:09:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.2996, loss: 0.2996 +2025-07-02 16:42:34,539 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 16:42:58,289 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:42:58,300 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9933 +2025-07-02 16:42:58,300 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9205, top5_acc: 0.9933 +2025-07-02 16:43:35,991 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:09:21, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3719, loss: 0.3719 +2025-07-02 16:43:51,628 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:09:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.2987, loss: 0.2987 +2025-07-02 16:44:07,379 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:08:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3315, loss: 0.3315 +2025-07-02 16:44:22,965 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:08:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3406, loss: 0.3406 +2025-07-02 16:44:38,600 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:08:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3235, loss: 0.3235 +2025-07-02 16:44:54,275 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:07:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3517, loss: 0.3517 +2025-07-02 16:45:10,013 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:07:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9856, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 16:45:25,978 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:07:22, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3381, loss: 0.3381 +2025-07-02 16:45:42,082 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:07:06, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2899, loss: 0.2899 +2025-07-02 16:45:58,026 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:06:49, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3045, loss: 0.3045 +2025-07-02 16:46:13,715 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:06:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9925, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 16:46:26,579 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 16:46:50,253 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:46:50,264 - pyskl - INFO - +top1_acc 0.9390 +top5_acc 0.9952 +2025-07-02 16:46:50,267 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_53.pth was removed +2025-07-02 16:46:50,385 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. +2025-07-02 16:46:50,386 - pyskl - INFO - Best top1_acc is 0.9390 at 73 epoch. +2025-07-02 16:46:50,387 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9390, top5_acc: 0.9952 +2025-07-02 16:47:28,062 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:06:12, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3562, loss: 0.3562 +2025-07-02 16:47:43,852 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:05:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2700, loss: 0.2700 +2025-07-02 16:47:59,656 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:05:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3185, loss: 0.3185 +2025-07-02 16:48:15,321 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:05:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 16:48:30,920 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:05:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.3906, loss: 0.3906 +2025-07-02 16:48:46,501 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:04:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9906, loss_cls: 0.3517, loss: 0.3517 +2025-07-02 16:49:02,386 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:04:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.3816, loss: 0.3816 +2025-07-02 16:49:18,034 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:04:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 0.3868, loss: 0.3868 +2025-07-02 16:49:33,710 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:03:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3909, loss: 0.3909 +2025-07-02 16:49:49,394 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:03:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3281, loss: 0.3281 +2025-07-02 16:50:05,077 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:03:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.3082, loss: 0.3082 +2025-07-02 16:50:17,905 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 16:50:41,419 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:50:41,429 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9937 +2025-07-02 16:50:41,429 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9301, top5_acc: 0.9937 +2025-07-02 16:51:19,346 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:03:03, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3300, loss: 0.3300 +2025-07-02 16:51:35,080 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:02:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3153, loss: 0.3153 +2025-07-02 16:51:50,753 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:02:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.3076, loss: 0.3076 +2025-07-02 16:52:06,372 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:02:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2649, loss: 0.2649 +2025-07-02 16:52:22,012 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:01:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3390, loss: 0.3390 +2025-07-02 16:52:37,618 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:01:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3392, loss: 0.3392 +2025-07-02 16:52:53,246 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 4:01:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.3699, loss: 0.3699 +2025-07-02 16:53:08,881 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 4:01:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2953, loss: 0.2953 +2025-07-02 16:53:24,501 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 4:00:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.2957, loss: 0.2957 +2025-07-02 16:53:40,196 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 4:00:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3311, loss: 0.3311 +2025-07-02 16:53:55,822 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 4:00:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 16:54:08,641 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 16:54:32,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:54:32,477 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9948 +2025-07-02 16:54:32,477 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9275, top5_acc: 0.9948 +2025-07-02 16:55:10,065 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:59:53, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2951, loss: 0.2951 +2025-07-02 16:55:25,751 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:59:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3223, loss: 0.3223 +2025-07-02 16:55:41,406 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:59:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 0.2820, loss: 0.2820 +2025-07-02 16:55:57,063 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:59:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 0.3400, loss: 0.3400 +2025-07-02 16:56:12,906 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:58:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3110, loss: 0.3110 +2025-07-02 16:56:28,618 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:58:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3282, loss: 0.3282 +2025-07-02 16:56:44,295 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:58:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3149, loss: 0.3149 +2025-07-02 16:56:59,913 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:57:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3655, loss: 0.3655 +2025-07-02 16:57:15,582 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:57:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3078, loss: 0.3078 +2025-07-02 16:57:31,235 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:57:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3437, loss: 0.3437 +2025-07-02 16:57:46,854 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:57:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.3038, loss: 0.3038 +2025-07-02 16:57:59,677 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 16:58:23,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:58:23,964 - pyskl - INFO - +top1_acc 0.9290 +top5_acc 0.9959 +2025-07-02 16:58:23,965 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9290, top5_acc: 0.9959 +2025-07-02 16:59:01,588 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:56:43, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2745, loss: 0.2745 +2025-07-02 16:59:17,245 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:56:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3069, loss: 0.3069 +2025-07-02 16:59:32,842 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:56:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2550, loss: 0.2550 +2025-07-02 16:59:48,406 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:55:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9919, loss_cls: 0.3090, loss: 0.3090 +2025-07-02 17:00:04,003 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:55:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2633, loss: 0.2633 +2025-07-02 17:00:19,616 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:55:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3462, loss: 0.3462 +2025-07-02 17:00:35,369 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:55:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3504, loss: 0.3504 +2025-07-02 17:00:50,980 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:54:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3350, loss: 0.3350 +2025-07-02 17:01:06,606 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:54:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3186, loss: 0.3186 +2025-07-02 17:01:22,218 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:54:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3881, loss: 0.3881 +2025-07-02 17:01:37,789 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:53:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9931, loss_cls: 0.2701, loss: 0.2701 +2025-07-02 17:01:50,559 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 17:02:14,200 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:02:14,210 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9952 +2025-07-02 17:02:14,214 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_73.pth was removed +2025-07-02 17:02:14,334 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-02 17:02:14,335 - pyskl - INFO - Best top1_acc is 0.9393 at 77 epoch. +2025-07-02 17:02:14,336 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9393, top5_acc: 0.9952 +2025-07-02 17:02:52,122 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:53:33, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.3090, loss: 0.3090 +2025-07-02 17:03:07,932 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:53:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3140, loss: 0.3140 +2025-07-02 17:03:23,658 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:52:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.2852, loss: 0.2852 +2025-07-02 17:03:39,244 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:52:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.3288, loss: 0.3288 +2025-07-02 17:03:54,822 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:52:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9906, loss_cls: 0.3531, loss: 0.3531 +2025-07-02 17:04:10,356 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:52:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.3102, loss: 0.3102 +2025-07-02 17:04:25,954 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:51:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 17:04:41,595 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:51:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 17:04:57,232 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:51:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2972, loss: 0.2972 +2025-07-02 17:05:12,846 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:51:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.3136, loss: 0.3136 +2025-07-02 17:05:28,473 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:50:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 17:05:41,259 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 17:06:05,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:06:05,206 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9945 +2025-07-02 17:06:05,207 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9334, top5_acc: 0.9945 +2025-07-02 17:06:43,016 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:50:22, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9919, loss_cls: 0.3008, loss: 0.3008 +2025-07-02 17:06:58,904 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:50:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.2907, loss: 0.2907 +2025-07-02 17:07:14,609 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:49:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9938, loss_cls: 0.2375, loss: 0.2375 +2025-07-02 17:07:30,329 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:49:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2690, loss: 0.2690 +2025-07-02 17:07:46,271 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:49:15, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2698, loss: 0.2698 +2025-07-02 17:08:01,973 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:48:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 0.3521, loss: 0.3521 +2025-07-02 17:08:17,808 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:48:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2990, loss: 0.2990 +2025-07-02 17:08:33,639 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:48:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.3155, loss: 0.3155 +2025-07-02 17:08:49,377 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:48:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2641, loss: 0.2641 +2025-07-02 17:09:05,206 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:47:51, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 17:09:21,023 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:47:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 17:09:33,981 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 17:09:57,725 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:09:57,736 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9952 +2025-07-02 17:09:57,736 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9386, top5_acc: 0.9952 +2025-07-02 17:10:35,225 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:47:13, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9944, loss_cls: 0.2568, loss: 0.2568 +2025-07-02 17:10:51,082 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:46:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 17:11:06,652 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:46:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 17:11:22,196 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:46:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2884, loss: 0.2884 +2025-07-02 17:11:38,158 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:46:06, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 17:11:53,962 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:45:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2434, loss: 0.2434 +2025-07-02 17:12:09,708 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:45:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3220, loss: 0.3220 +2025-07-02 17:12:25,490 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:45:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2917, loss: 0.2917 +2025-07-02 17:12:41,235 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:44:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2880, loss: 0.2880 +2025-07-02 17:12:56,926 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:44:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3009, loss: 0.3009 +2025-07-02 17:13:12,611 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:44:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2862, loss: 0.2862 +2025-07-02 17:13:25,437 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 17:13:49,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:13:49,012 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9959 +2025-07-02 17:13:49,013 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9201, top5_acc: 0.9959 +2025-07-02 17:14:26,413 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:44:03, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2735, loss: 0.2735 +2025-07-02 17:14:42,011 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:43:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2601, loss: 0.2601 +2025-07-02 17:14:57,638 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:43:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2807, loss: 0.2807 +2025-07-02 17:15:13,342 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:43:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 17:15:29,266 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:42:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2499, loss: 0.2499 +2025-07-02 17:15:45,153 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:42:39, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.2855, loss: 0.2855 +2025-07-02 17:16:01,150 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:42:22, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2696, loss: 0.2696 +2025-07-02 17:16:16,857 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:42:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 17:16:32,614 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:41:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2989, loss: 0.2989 +2025-07-02 17:16:48,442 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:41:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3587, loss: 0.3587 +2025-07-02 17:17:04,115 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:41:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2794, loss: 0.2794 +2025-07-02 17:17:16,985 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 17:17:40,527 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:17:40,537 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9937 +2025-07-02 17:17:40,538 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9349, top5_acc: 0.9937 +2025-07-02 17:18:17,657 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:40:53, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2824, loss: 0.2824 +2025-07-02 17:18:33,377 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:40:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2633, loss: 0.2633 +2025-07-02 17:18:48,950 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:40:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9919, loss_cls: 0.3013, loss: 0.3013 +2025-07-02 17:19:04,546 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:40:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3075, loss: 0.3075 +2025-07-02 17:19:20,195 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:39:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2778, loss: 0.2778 +2025-07-02 17:19:35,934 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:39:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.2958, loss: 0.2958 +2025-07-02 17:19:51,579 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:39:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 0.2683, loss: 0.2683 +2025-07-02 17:20:07,255 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:38:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.2968, loss: 0.2968 +2025-07-02 17:20:22,999 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:38:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9938, loss_cls: 0.2709, loss: 0.2709 +2025-07-02 17:20:38,620 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:38:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3278, loss: 0.3278 +2025-07-02 17:20:54,194 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:38:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3439, loss: 0.3439 +2025-07-02 17:21:06,945 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 17:21:30,799 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:21:30,810 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9948 +2025-07-02 17:21:30,810 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9297, top5_acc: 0.9948 +2025-07-02 17:22:08,724 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:37:42, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3028, loss: 0.3028 +2025-07-02 17:22:24,481 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:37:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2488, loss: 0.2488 +2025-07-02 17:22:40,119 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:37:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2741, loss: 0.2741 +2025-07-02 17:22:55,706 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:36:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2773, loss: 0.2773 +2025-07-02 17:23:11,364 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:36:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 17:23:27,179 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:36:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3101, loss: 0.3101 +2025-07-02 17:23:43,176 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:36:01, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2782, loss: 0.2782 +2025-07-02 17:23:59,042 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:35:45, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2824, loss: 0.2824 +2025-07-02 17:24:14,807 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:35:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2621, loss: 0.2621 +2025-07-02 17:24:30,442 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:35:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2926, loss: 0.2926 +2025-07-02 17:24:46,068 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:34:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2471, loss: 0.2471 +2025-07-02 17:24:58,783 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 17:25:22,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:25:22,375 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9970 +2025-07-02 17:25:22,376 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9161, top5_acc: 0.9970 +2025-07-02 17:26:00,213 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:34:32, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2691, loss: 0.2691 +2025-07-02 17:26:15,851 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:34:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.2874, loss: 0.2874 +2025-07-02 17:26:31,577 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:33:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9925, loss_cls: 0.2749, loss: 0.2749 +2025-07-02 17:26:47,524 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:33:42, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2420, loss: 0.2420 +2025-07-02 17:27:03,253 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:33:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2722, loss: 0.2722 +2025-07-02 17:27:19,068 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:33:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3279, loss: 0.3279 +2025-07-02 17:27:34,731 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:32:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3280, loss: 0.3280 +2025-07-02 17:27:50,392 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:32:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3311, loss: 0.3311 +2025-07-02 17:28:06,069 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:32:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2608, loss: 0.2608 +2025-07-02 17:28:21,718 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:32:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2553, loss: 0.2553 +2025-07-02 17:28:37,335 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:31:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.2979, loss: 0.2979 +2025-07-02 17:28:50,101 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 17:29:13,908 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:29:13,918 - pyskl - INFO - +top1_acc 0.9279 +top5_acc 0.9937 +2025-07-02 17:29:13,919 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9279, top5_acc: 0.9937 +2025-07-02 17:29:51,450 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:31:22, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2784, loss: 0.2784 +2025-07-02 17:30:07,017 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:31:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 17:30:22,653 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:30:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2290, loss: 0.2290 +2025-07-02 17:30:38,324 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:30:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2051, loss: 0.2051 +2025-07-02 17:30:54,112 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:30:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2391, loss: 0.2391 +2025-07-02 17:31:09,832 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:29:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9925, loss_cls: 0.2780, loss: 0.2780 +2025-07-02 17:31:25,473 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:29:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 0.2814, loss: 0.2814 +2025-07-02 17:31:41,346 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:29:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.2700, loss: 0.2700 +2025-07-02 17:31:57,022 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:29:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.2967, loss: 0.2967 +2025-07-02 17:32:12,695 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:28:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9944, loss_cls: 0.2454, loss: 0.2454 +2025-07-02 17:32:28,270 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:28:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.3220, loss: 0.3220 +2025-07-02 17:32:40,977 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 17:33:04,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:33:04,412 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9945 +2025-07-02 17:33:04,413 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9331, top5_acc: 0.9945 +2025-07-02 17:33:41,829 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:28:11, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2642, loss: 0.2642 +2025-07-02 17:33:57,448 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:27:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2290, loss: 0.2290 +2025-07-02 17:34:13,156 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:27:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2602, loss: 0.2602 +2025-07-02 17:34:28,690 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:27:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2468, loss: 0.2468 +2025-07-02 17:34:44,318 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:27:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9931, loss_cls: 0.2957, loss: 0.2957 +2025-07-02 17:34:59,964 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:26:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3133, loss: 0.3133 +2025-07-02 17:35:15,598 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:26:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2732, loss: 0.2732 +2025-07-02 17:35:31,174 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:26:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.3165, loss: 0.3165 +2025-07-02 17:35:46,822 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:25:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2492, loss: 0.2492 +2025-07-02 17:36:02,470 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:25:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3001, loss: 0.3001 +2025-07-02 17:36:18,061 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:25:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 17:36:30,864 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 17:36:54,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:36:54,394 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9922 +2025-07-02 17:36:54,395 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9149, top5_acc: 0.9922 +2025-07-02 17:37:32,039 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:24:59, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9994, loss_cls: 0.2435, loss: 0.2435 +2025-07-02 17:37:47,653 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:24:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2304, loss: 0.2304 +2025-07-02 17:38:03,344 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:24:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2128, loss: 0.2128 +2025-07-02 17:38:19,070 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:24:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2055, loss: 0.2055 +2025-07-02 17:38:34,869 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:23:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2776, loss: 0.2776 +2025-07-02 17:38:50,619 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:23:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2506, loss: 0.2506 +2025-07-02 17:39:06,361 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:23:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.2839, loss: 0.2839 +2025-07-02 17:39:22,035 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:23:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2574, loss: 0.2574 +2025-07-02 17:39:37,684 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:22:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2318, loss: 0.2318 +2025-07-02 17:39:53,343 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:22:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2923, loss: 0.2923 +2025-07-02 17:40:09,003 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:22:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2620, loss: 0.2620 +2025-07-02 17:40:21,741 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 17:40:44,911 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:40:44,921 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9933 +2025-07-02 17:40:44,922 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9360, top5_acc: 0.9933 +2025-07-02 17:41:21,930 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:21:48, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2457, loss: 0.2457 +2025-07-02 17:41:37,493 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:21:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9950, loss_cls: 0.2262, loss: 0.2262 +2025-07-02 17:41:53,502 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:21:14, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2208, loss: 0.2208 +2025-07-02 17:42:09,261 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:20:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2152, loss: 0.2152 +2025-07-02 17:42:24,897 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:20:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.2246, loss: 0.2246 +2025-07-02 17:42:40,602 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:20:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2544, loss: 0.2544 +2025-07-02 17:42:56,254 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:20:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2554, loss: 0.2554 +2025-07-02 17:43:11,938 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:19:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2205, loss: 0.2205 +2025-07-02 17:43:27,589 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:19:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2367, loss: 0.2367 +2025-07-02 17:43:43,224 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:19:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2900, loss: 0.2900 +2025-07-02 17:43:59,054 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:19:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3458, loss: 0.3458 +2025-07-02 17:44:11,951 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 17:44:34,853 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:44:34,864 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9933 +2025-07-02 17:44:34,864 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9275, top5_acc: 0.9933 +2025-07-02 17:45:11,988 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:18:37, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.2027, loss: 0.2027 +2025-07-02 17:45:27,653 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:18:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2268, loss: 0.2268 +2025-07-02 17:45:43,361 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:18:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1855, loss: 0.1855 +2025-07-02 17:45:58,962 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:17:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2385, loss: 0.2385 +2025-07-02 17:46:14,639 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:17:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2403, loss: 0.2403 +2025-07-02 17:46:30,317 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:17:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2315, loss: 0.2315 +2025-07-02 17:46:45,979 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:16:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.2820, loss: 0.2820 +2025-07-02 17:47:01,656 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:16:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9925, loss_cls: 0.2642, loss: 0.2642 +2025-07-02 17:47:17,288 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:16:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2307, loss: 0.2307 +2025-07-02 17:47:32,928 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:16:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 0.2974, loss: 0.2974 +2025-07-02 17:47:48,561 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:15:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2332, loss: 0.2332 +2025-07-02 17:48:01,273 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 17:48:24,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:48:24,203 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9941 +2025-07-02 17:48:24,203 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9327, top5_acc: 0.9941 +2025-07-02 17:49:00,748 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:15:25, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1805, loss: 0.1805 +2025-07-02 17:49:16,351 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:15:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1983, loss: 0.1983 +2025-07-02 17:49:31,980 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:14:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2596, loss: 0.2596 +2025-07-02 17:49:47,646 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:14:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1949, loss: 0.1949 +2025-07-02 17:50:03,302 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:14:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2482, loss: 0.2482 +2025-07-02 17:50:18,972 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:14:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2635, loss: 0.2635 +2025-07-02 17:50:34,667 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:13:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2407, loss: 0.2407 +2025-07-02 17:50:50,392 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:13:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2740, loss: 0.2740 +2025-07-02 17:51:06,029 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:13:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2211, loss: 0.2211 +2025-07-02 17:51:21,708 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:12:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2629, loss: 0.2629 +2025-07-02 17:51:37,318 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:12:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2423, loss: 0.2423 +2025-07-02 17:51:50,036 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 17:52:12,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:52:12,609 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9948 +2025-07-02 17:52:12,609 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9301, top5_acc: 0.9948 +2025-07-02 17:52:49,080 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:12:13, time: 0.365, data_time: 0.205, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9938, loss_cls: 0.2730, loss: 0.2730 +2025-07-02 17:53:04,732 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:11:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2559, loss: 0.2559 +2025-07-02 17:53:20,394 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:11:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2417, loss: 0.2417 +2025-07-02 17:53:36,041 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:11:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 17:53:51,668 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:11:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1936, loss: 0.1936 +2025-07-02 17:54:07,371 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:10:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.1983, loss: 0.1983 +2025-07-02 17:54:23,037 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:10:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9938, loss_cls: 0.2496, loss: 0.2496 +2025-07-02 17:54:38,689 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:10:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2541, loss: 0.2541 +2025-07-02 17:54:54,352 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:09:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2375, loss: 0.2375 +2025-07-02 17:55:09,971 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:09:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3133, loss: 0.3133 +2025-07-02 17:55:25,570 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:09:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2635, loss: 0.2635 +2025-07-02 17:55:38,672 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 17:56:01,478 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:56:01,489 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9963 +2025-07-02 17:56:01,489 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9238, top5_acc: 0.9963 +2025-07-02 17:56:38,163 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:09:01, time: 0.367, data_time: 0.206, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2464, loss: 0.2464 +2025-07-02 17:56:53,684 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:08:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2052, loss: 0.2052 +2025-07-02 17:57:09,219 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:08:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.2076, loss: 0.2076 +2025-07-02 17:57:24,877 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:08:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2268, loss: 0.2268 +2025-07-02 17:57:40,622 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:07:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2606, loss: 0.2606 +2025-07-02 17:57:56,242 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:07:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1946, loss: 0.1946 +2025-07-02 17:58:11,806 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:07:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2163, loss: 0.2163 +2025-07-02 17:58:27,546 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:07:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2101, loss: 0.2101 +2025-07-02 17:58:43,131 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:06:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2150, loss: 0.2150 +2025-07-02 17:58:58,727 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:06:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2202, loss: 0.2202 +2025-07-02 17:59:14,353 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:06:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 17:59:27,118 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 17:59:49,547 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:59:49,557 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9937 +2025-07-02 17:59:49,558 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9220, top5_acc: 0.9937 +2025-07-02 18:00:26,175 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:05:48, time: 0.366, data_time: 0.206, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2247, loss: 0.2247 +2025-07-02 18:00:41,776 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:05:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2124, loss: 0.2124 +2025-07-02 18:00:57,365 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:05:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2126, loss: 0.2126 +2025-07-02 18:01:13,029 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:04:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1612, loss: 0.1612 +2025-07-02 18:01:28,708 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:04:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2104, loss: 0.2104 +2025-07-02 18:01:44,540 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:04:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2305, loss: 0.2305 +2025-07-02 18:02:00,345 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:04:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 18:02:16,017 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:03:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2076, loss: 0.2076 +2025-07-02 18:02:31,617 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:03:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2462, loss: 0.2462 +2025-07-02 18:02:47,261 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:03:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2328, loss: 0.2328 +2025-07-02 18:03:02,892 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:03:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2383, loss: 0.2383 +2025-07-02 18:03:15,710 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 18:03:38,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:03:38,114 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9959 +2025-07-02 18:03:38,115 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9153, top5_acc: 0.9959 +2025-07-02 18:04:14,882 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:02:36, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2047, loss: 0.2047 +2025-07-02 18:04:30,545 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:02:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1975, loss: 0.1975 +2025-07-02 18:04:46,263 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:02:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1881, loss: 0.1881 +2025-07-02 18:05:01,957 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:01:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.1990, loss: 0.1990 +2025-07-02 18:05:17,695 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:01:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2124, loss: 0.2124 +2025-07-02 18:05:33,478 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:01:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9944, loss_cls: 0.2361, loss: 0.2361 +2025-07-02 18:05:49,113 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 3:00:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2279, loss: 0.2279 +2025-07-02 18:06:04,714 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 3:00:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2429, loss: 0.2429 +2025-07-02 18:06:20,281 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 3:00:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9938, loss_cls: 0.2267, loss: 0.2267 +2025-07-02 18:06:35,847 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 3:00:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2659, loss: 0.2659 +2025-07-02 18:06:51,490 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:59:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2235, loss: 0.2235 +2025-07-02 18:07:04,230 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 18:07:26,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:07:26,787 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9959 +2025-07-02 18:07:26,788 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9334, top5_acc: 0.9959 +2025-07-02 18:08:03,555 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:59:24, time: 0.368, data_time: 0.207, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9950, loss_cls: 0.2081, loss: 0.2081 +2025-07-02 18:08:19,180 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:59:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2100, loss: 0.2100 +2025-07-02 18:08:34,804 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:58:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.1992, loss: 0.1992 +2025-07-02 18:08:50,372 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:58:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2148, loss: 0.2148 +2025-07-02 18:09:05,991 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:58:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 0.2108, loss: 0.2108 +2025-07-02 18:09:21,697 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:58:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2122, loss: 0.2122 +2025-07-02 18:09:37,509 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:57:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2227, loss: 0.2227 +2025-07-02 18:09:53,219 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:57:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2229, loss: 0.2229 +2025-07-02 18:10:08,929 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:57:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2381, loss: 0.2381 +2025-07-02 18:10:24,609 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:56:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1840, loss: 0.1840 +2025-07-02 18:10:40,242 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:56:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2188, loss: 0.2188 +2025-07-02 18:10:52,963 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 18:11:16,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:11:16,066 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9915 +2025-07-02 18:11:16,066 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9368, top5_acc: 0.9915 +2025-07-02 18:11:53,173 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:56:13, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.1962, loss: 0.1962 +2025-07-02 18:12:08,889 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1535, loss: 0.1535 +2025-07-02 18:12:24,486 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:55:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1502, loss: 0.1502 +2025-07-02 18:12:40,101 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:55:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1725, loss: 0.1725 +2025-07-02 18:12:55,697 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:55:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2275, loss: 0.2275 +2025-07-02 18:13:11,342 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:54:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2035, loss: 0.2035 +2025-07-02 18:13:27,053 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:54:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2308, loss: 0.2308 +2025-07-02 18:13:42,798 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:54:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9931, loss_cls: 0.2811, loss: 0.2811 +2025-07-02 18:13:58,554 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:53:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.1842, loss: 0.1842 +2025-07-02 18:14:14,258 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:53:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9944, loss_cls: 0.2572, loss: 0.2572 +2025-07-02 18:14:30,011 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:53:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2197, loss: 0.2197 +2025-07-02 18:14:42,939 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 18:15:05,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:15:05,678 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9959 +2025-07-02 18:15:05,678 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9375, top5_acc: 0.9959 +2025-07-02 18:15:42,927 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:53:01, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.1918, loss: 0.1918 +2025-07-02 18:15:58,550 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:52:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 0.2093, loss: 0.2093 +2025-07-02 18:16:14,214 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:52:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1927, loss: 0.1927 +2025-07-02 18:16:29,796 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:52:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 18:16:45,431 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2125, loss: 0.2125 +2025-07-02 18:17:01,138 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:51:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2382, loss: 0.2382 +2025-07-02 18:17:16,834 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:51:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2160, loss: 0.2160 +2025-07-02 18:17:32,561 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:51:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2074, loss: 0.2074 +2025-07-02 18:17:48,286 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:50:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1903, loss: 0.1903 +2025-07-02 18:18:03,954 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:50:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2160, loss: 0.2160 +2025-07-02 18:18:19,592 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:50:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2300, loss: 0.2300 +2025-07-02 18:18:32,438 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 18:18:55,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:18:55,250 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9956 +2025-07-02 18:18:55,250 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9375, top5_acc: 0.9956 +2025-07-02 18:19:32,277 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:49:49, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2178, loss: 0.2178 +2025-07-02 18:19:47,842 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:49:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1972, loss: 0.1972 +2025-07-02 18:20:03,456 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1925, loss: 0.1925 +2025-07-02 18:20:19,090 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:48:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9956, loss_cls: 0.1701, loss: 0.1701 +2025-07-02 18:20:34,776 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:48:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.1901, loss: 0.1901 +2025-07-02 18:20:50,549 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:48:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.1958, loss: 0.1958 +2025-07-02 18:21:06,213 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:48:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2119, loss: 0.2119 +2025-07-02 18:21:21,918 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2171, loss: 0.2171 +2025-07-02 18:21:37,601 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:47:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 18:21:53,225 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:47:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1725, loss: 0.1725 +2025-07-02 18:22:08,993 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:47:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.1966, loss: 0.1966 +2025-07-02 18:22:21,706 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 18:22:44,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:22:44,372 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9948 +2025-07-02 18:22:44,375 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_77.pth was removed +2025-07-02 18:22:44,487 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 18:22:44,488 - pyskl - INFO - Best top1_acc is 0.9482 at 98 epoch. +2025-07-02 18:22:44,488 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9482, top5_acc: 0.9948 +2025-07-02 18:23:21,742 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:46:37, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 18:23:37,417 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:46:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1422, loss: 0.1422 +2025-07-02 18:23:53,019 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:46:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.2099, loss: 0.2099 +2025-07-02 18:24:08,728 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:45:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1711, loss: 0.1711 +2025-07-02 18:24:24,406 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:45:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2267, loss: 0.2267 +2025-07-02 18:24:40,015 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:45:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1562, loss: 0.1562 +2025-07-02 18:24:55,702 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:44:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2195, loss: 0.2195 +2025-07-02 18:25:11,385 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:44:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2259, loss: 0.2259 +2025-07-02 18:25:27,108 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:44:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2207, loss: 0.2207 +2025-07-02 18:25:42,644 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:44:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9950, loss_cls: 0.2045, loss: 0.2045 +2025-07-02 18:25:58,149 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:43:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2237, loss: 0.2237 +2025-07-02 18:26:10,793 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 18:26:33,726 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:26:33,736 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9963 +2025-07-02 18:26:33,736 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9349, top5_acc: 0.9963 +2025-07-02 18:27:10,424 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:43:25, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1856, loss: 0.1856 +2025-07-02 18:27:25,939 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:43:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1482, loss: 0.1482 +2025-07-02 18:27:41,466 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1673, loss: 0.1673 +2025-07-02 18:27:57,212 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:42:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1428, loss: 0.1428 +2025-07-02 18:28:12,922 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:42:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2144, loss: 0.2144 +2025-07-02 18:28:28,595 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:42:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.1940, loss: 0.1940 +2025-07-02 18:28:44,469 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:41:45, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1730, loss: 0.1730 +2025-07-02 18:29:00,219 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:41:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1776, loss: 0.1776 +2025-07-02 18:29:15,895 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:41:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2070, loss: 0.2070 +2025-07-02 18:29:31,586 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1757, loss: 0.1757 +2025-07-02 18:29:47,281 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:40:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2001, loss: 0.2001 +2025-07-02 18:30:00,028 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 18:30:22,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:30:22,480 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9956 +2025-07-02 18:30:22,480 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9360, top5_acc: 0.9956 +2025-07-02 18:30:59,441 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:40:13, time: 0.370, data_time: 0.209, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 18:31:15,048 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1450, loss: 0.1450 +2025-07-02 18:31:30,689 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:39:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1426, loss: 0.1426 +2025-07-02 18:31:46,343 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:39:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 18:32:01,967 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:39:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1341, loss: 0.1341 +2025-07-02 18:32:17,747 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1676, loss: 0.1676 +2025-07-02 18:32:33,588 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:38:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2129, loss: 0.2129 +2025-07-02 18:32:49,268 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:38:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1837, loss: 0.1837 +2025-07-02 18:33:04,842 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:37:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1902, loss: 0.1902 +2025-07-02 18:33:20,434 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:37:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2053, loss: 0.2053 +2025-07-02 18:33:35,925 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:37:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1897, loss: 0.1897 +2025-07-02 18:33:48,697 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 18:34:11,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:34:11,237 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9937 +2025-07-02 18:34:11,238 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9360, top5_acc: 0.9937 +2025-07-02 18:34:48,302 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:37:01, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1986, loss: 0.1986 +2025-07-02 18:35:03,889 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:36:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 18:35:19,537 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:36:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1527, loss: 0.1527 +2025-07-02 18:35:35,306 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:36:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1334, loss: 0.1334 +2025-07-02 18:35:50,957 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1543, loss: 0.1543 +2025-07-02 18:36:06,663 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:35:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1717, loss: 0.1717 +2025-07-02 18:36:22,390 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:35:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9944, loss_cls: 0.2074, loss: 0.2074 +2025-07-02 18:36:38,088 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:35:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1538, loss: 0.1538 +2025-07-02 18:36:53,794 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1360, loss: 0.1360 +2025-07-02 18:37:09,500 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:34:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1688, loss: 0.1688 +2025-07-02 18:37:25,206 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:34:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 18:37:37,999 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 18:38:01,085 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:38:01,096 - pyskl - INFO - +top1_acc 0.9416 +top5_acc 0.9945 +2025-07-02 18:38:01,096 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9416, top5_acc: 0.9945 +2025-07-02 18:38:38,431 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:49, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1608, loss: 0.1608 +2025-07-02 18:38:54,218 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:33:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1773, loss: 0.1773 +2025-07-02 18:39:09,875 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:33:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 18:39:25,541 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:32:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1501, loss: 0.1501 +2025-07-02 18:39:41,118 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:32:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1643, loss: 0.1643 +2025-07-02 18:39:56,750 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:32:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1780, loss: 0.1780 +2025-07-02 18:40:12,514 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:32:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 18:40:28,319 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1931, loss: 0.1931 +2025-07-02 18:40:44,042 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:31:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2071, loss: 0.2071 +2025-07-02 18:40:59,741 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:31:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2157, loss: 0.2157 +2025-07-02 18:41:15,435 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:31:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9956, loss_cls: 0.1714, loss: 0.1714 +2025-07-02 18:41:28,217 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 18:41:50,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:41:50,941 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9970 +2025-07-02 18:41:50,941 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9408, top5_acc: 0.9970 +2025-07-02 18:42:28,028 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:30:37, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1602, loss: 0.1602 +2025-07-02 18:42:43,857 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:30:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1467, loss: 0.1467 +2025-07-02 18:42:59,627 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:30:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 18:43:15,436 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1622, loss: 0.1622 +2025-07-02 18:43:31,220 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:29:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.1644, loss: 0.1644 +2025-07-02 18:43:47,000 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:29:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1802, loss: 0.1802 +2025-07-02 18:44:02,698 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:28:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1424, loss: 0.1424 +2025-07-02 18:44:18,472 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:28:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1603, loss: 0.1603 +2025-07-02 18:44:34,185 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:28:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1585, loss: 0.1585 +2025-07-02 18:44:49,914 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:28:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1612, loss: 0.1612 +2025-07-02 18:45:05,603 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9944, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 18:45:18,551 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 18:45:41,567 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:45:41,578 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9963 +2025-07-02 18:45:41,578 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9382, top5_acc: 0.9963 +2025-07-02 18:46:19,243 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:27:25, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9962, loss_cls: 0.1315, loss: 0.1315 +2025-07-02 18:46:34,846 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:27:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1333, loss: 0.1333 +2025-07-02 18:46:50,419 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1392, loss: 0.1392 +2025-07-02 18:47:06,048 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:26:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1265, loss: 0.1265 +2025-07-02 18:47:21,631 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:26:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1270, loss: 0.1270 +2025-07-02 18:47:37,490 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:26:02, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1460, loss: 0.1460 +2025-07-02 18:47:53,226 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 18:48:08,957 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:25:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1702, loss: 0.1702 +2025-07-02 18:48:24,658 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:25:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1550, loss: 0.1550 +2025-07-02 18:48:40,457 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1788, loss: 0.1788 +2025-07-02 18:48:56,181 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:24:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1498, loss: 0.1498 +2025-07-02 18:49:08,929 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 18:49:31,667 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:49:31,678 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9974 +2025-07-02 18:49:31,678 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9430, top5_acc: 0.9974 +2025-07-02 18:50:09,559 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:24:14, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1268, loss: 0.1268 +2025-07-02 18:50:25,207 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1547, loss: 0.1547 +2025-07-02 18:50:40,842 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:23:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1562, loss: 0.1562 +2025-07-02 18:50:56,407 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:23:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1439, loss: 0.1439 +2025-07-02 18:51:12,033 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:23:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1432, loss: 0.1432 +2025-07-02 18:51:27,690 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1319, loss: 0.1319 +2025-07-02 18:51:43,331 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:22:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9956, loss_cls: 0.1326, loss: 0.1326 +2025-07-02 18:51:58,954 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:22:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1412, loss: 0.1412 +2025-07-02 18:52:14,615 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:22:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1656, loss: 0.1656 +2025-07-02 18:52:30,286 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1478, loss: 0.1478 +2025-07-02 18:52:45,911 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:21:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1749, loss: 0.1749 +2025-07-02 18:52:58,840 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 18:53:21,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:53:21,825 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9967 +2025-07-02 18:53:21,825 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9286, top5_acc: 0.9967 +2025-07-02 18:53:59,414 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:21:02, time: 0.376, data_time: 0.214, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1385, loss: 0.1385 +2025-07-02 18:54:15,052 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1591, loss: 0.1591 +2025-07-02 18:54:30,673 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:20:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 18:54:46,477 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:20:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 18:55:02,029 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1763, loss: 0.1763 +2025-07-02 18:55:17,729 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:19:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1448, loss: 0.1448 +2025-07-02 18:55:33,409 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:19:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1664, loss: 0.1664 +2025-07-02 18:55:49,069 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:19:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1827, loss: 0.1827 +2025-07-02 18:56:04,645 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 18:56:20,195 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:18:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1691, loss: 0.1691 +2025-07-02 18:56:35,780 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:18:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1440, loss: 0.1440 +2025-07-02 18:56:48,492 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 18:57:11,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:57:11,774 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9952 +2025-07-02 18:57:11,774 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9427, top5_acc: 0.9952 +2025-07-02 18:57:49,686 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:49, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9956, loss_cls: 0.1480, loss: 0.1480 +2025-07-02 18:58:05,289 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:17:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1365, loss: 0.1365 +2025-07-02 18:58:20,981 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:17:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1502, loss: 0.1502 +2025-07-02 18:58:36,633 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:17:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 18:58:52,265 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 1.0000, loss_cls: 0.1611, loss: 0.1611 +2025-07-02 18:59:07,868 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:16:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1383, loss: 0.1383 +2025-07-02 18:59:23,404 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:16:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1638, loss: 0.1638 +2025-07-02 18:59:39,014 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 18:59:54,598 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:15:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1150, loss: 0.1150 +2025-07-02 19:00:10,198 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:15:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1822, loss: 0.1822 +2025-07-02 19:00:25,774 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:15:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1386, loss: 0.1386 +2025-07-02 19:00:38,501 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 19:01:01,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:01:01,443 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9952 +2025-07-02 19:01:01,444 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9449, top5_acc: 0.9952 +2025-07-02 19:01:39,413 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:14:37, time: 0.380, data_time: 0.219, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1115, loss: 0.1115 +2025-07-02 19:01:55,233 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:14:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 19:02:11,003 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:14:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 19:02:26,649 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1269, loss: 0.1269 +2025-07-02 19:02:42,404 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:13:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1603, loss: 0.1603 +2025-07-02 19:02:58,202 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:13:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1105, loss: 0.1105 +2025-07-02 19:03:13,797 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1394, loss: 0.1394 +2025-07-02 19:03:29,327 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:12:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1513, loss: 0.1513 +2025-07-02 19:03:44,887 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:12:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1301, loss: 0.1301 +2025-07-02 19:04:00,459 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:12:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1222, loss: 0.1222 +2025-07-02 19:04:16,029 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1262, loss: 0.1262 +2025-07-02 19:04:28,796 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 19:04:52,189 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:04:52,199 - pyskl - INFO - +top1_acc 0.9456 +top5_acc 0.9982 +2025-07-02 19:04:52,200 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9456, top5_acc: 0.9982 +2025-07-02 19:05:29,627 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:11:25, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0949, loss: 0.0949 +2025-07-02 19:05:45,265 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:11:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.0976, loss: 0.0976 +2025-07-02 19:06:00,906 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1072, loss: 0.1072 +2025-07-02 19:06:16,673 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:10:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 19:06:32,416 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:10:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1493, loss: 0.1493 +2025-07-02 19:06:48,178 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:10:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9962, loss_cls: 0.1407, loss: 0.1407 +2025-07-02 19:07:03,876 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1274, loss: 0.1274 +2025-07-02 19:07:19,540 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:09:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1370, loss: 0.1370 +2025-07-02 19:07:35,153 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:09:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 19:07:50,739 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1401, loss: 0.1401 +2025-07-02 19:08:06,297 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:08:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1356, loss: 0.1356 +2025-07-02 19:08:19,015 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 19:08:41,991 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:08:42,001 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9952 +2025-07-02 19:08:42,002 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9423, top5_acc: 0.9952 +2025-07-02 19:09:19,469 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:08:13, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1208, loss: 0.1208 +2025-07-02 19:09:35,210 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0969, loss: 0.0969 +2025-07-02 19:09:50,944 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:07:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0995, loss: 0.0995 +2025-07-02 19:10:06,537 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:07:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 19:10:22,162 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:07:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 19:10:37,897 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 19:10:53,594 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:06:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1377, loss: 0.1377 +2025-07-02 19:11:09,309 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:06:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 19:11:24,937 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:06:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1246, loss: 0.1246 +2025-07-02 19:11:40,536 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 19:11:56,195 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:05:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1134, loss: 0.1134 +2025-07-02 19:12:08,932 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 19:12:31,423 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:12:31,433 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9963 +2025-07-02 19:12:31,433 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9449, top5_acc: 0.9963 +2025-07-02 19:13:08,412 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:05:00, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 19:13:24,078 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1136, loss: 0.1136 +2025-07-02 19:13:39,912 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:04:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9962, loss_cls: 0.1224, loss: 0.1224 +2025-07-02 19:13:55,622 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:04:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1197, loss: 0.1197 +2025-07-02 19:14:11,296 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1385, loss: 0.1385 +2025-07-02 19:14:26,986 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:03:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1383, loss: 0.1383 +2025-07-02 19:14:42,694 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:03:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 19:14:58,344 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:03:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1307, loss: 0.1307 +2025-07-02 19:15:14,000 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1180, loss: 0.1180 +2025-07-02 19:15:29,781 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:02:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1681, loss: 0.1681 +2025-07-02 19:15:45,395 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:02:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1534, loss: 0.1534 +2025-07-02 19:15:58,127 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 19:16:20,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:16:20,730 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9956 +2025-07-02 19:16:20,730 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9368, top5_acc: 0.9956 +2025-07-02 19:16:57,876 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:48, time: 0.371, data_time: 0.208, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1365, loss: 0.1365 +2025-07-02 19:17:13,605 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:01:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.1007, loss: 0.1007 +2025-07-02 19:17:29,247 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:01:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 19:17:45,082 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1057, loss: 0.1057 +2025-07-02 19:18:00,660 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1363, loss: 0.1363 +2025-07-02 19:18:16,347 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 2:00:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0983, loss: 0.0983 +2025-07-02 19:18:32,037 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 2:00:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 19:18:47,675 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1091, loss: 0.1091 +2025-07-02 19:19:03,276 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:59:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.1009, loss: 0.1009 +2025-07-02 19:19:18,883 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:59:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1228, loss: 0.1228 +2025-07-02 19:19:34,472 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:59:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1051, loss: 0.1051 +2025-07-02 19:19:47,204 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 19:20:10,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:20:10,228 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9945 +2025-07-02 19:20:10,229 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9434, top5_acc: 0.9945 +2025-07-02 19:20:46,639 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:58:35, time: 0.364, data_time: 0.205, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1045, loss: 0.1045 +2025-07-02 19:21:02,289 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:58:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 19:21:17,955 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:58:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1389, loss: 0.1389 +2025-07-02 19:21:33,619 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1284, loss: 0.1284 +2025-07-02 19:21:49,226 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:57:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1526, loss: 0.1526 +2025-07-02 19:22:04,819 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:57:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1443, loss: 0.1443 +2025-07-02 19:22:20,334 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1428, loss: 0.1428 +2025-07-02 19:22:35,868 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1051, loss: 0.1051 +2025-07-02 19:22:51,419 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:56:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0916, loss: 0.0916 +2025-07-02 19:23:06,970 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:56:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0923, loss: 0.0923 +2025-07-02 19:23:22,522 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1073, loss: 0.1073 +2025-07-02 19:23:35,134 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 19:23:57,590 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:23:57,600 - pyskl - INFO - +top1_acc 0.9479 +top5_acc 0.9974 +2025-07-02 19:23:57,600 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9479, top5_acc: 0.9974 +2025-07-02 19:24:34,306 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:55:23, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1260, loss: 0.1260 +2025-07-02 19:24:49,919 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:55:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 19:25:05,538 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0983, loss: 0.0983 +2025-07-02 19:25:21,224 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:54:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 19:25:36,879 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:54:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1235, loss: 0.1235 +2025-07-02 19:25:52,551 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:54:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 19:26:08,310 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 19:26:24,066 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:53:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1082, loss: 0.1082 +2025-07-02 19:26:39,782 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:53:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0956, loss: 0.0956 +2025-07-02 19:26:55,373 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 19:27:10,978 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.1114, loss: 0.1114 +2025-07-02 19:27:23,688 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 19:27:46,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:27:46,722 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9967 +2025-07-02 19:27:46,722 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9408, top5_acc: 0.9967 +2025-07-02 19:28:23,877 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:52:10, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1198, loss: 0.1198 +2025-07-02 19:28:39,462 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1031, loss: 0.1031 +2025-07-02 19:28:55,113 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 19:29:10,817 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:51:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0919, loss: 0.0919 +2025-07-02 19:29:26,553 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:51:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0822, loss: 0.0822 +2025-07-02 19:29:42,191 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 19:29:57,810 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:50:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0842, loss: 0.0842 +2025-07-02 19:30:13,427 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:50:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0938, loss: 0.0938 +2025-07-02 19:30:29,032 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 19:30:44,612 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0875, loss: 0.0875 +2025-07-02 19:31:00,167 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:49:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9969, loss_cls: 0.1069, loss: 0.1069 +2025-07-02 19:31:12,846 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 19:31:35,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:31:35,080 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9967 +2025-07-02 19:31:35,080 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9405, top5_acc: 0.9967 +2025-07-02 19:32:11,991 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:58, time: 0.369, data_time: 0.208, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0878, loss: 0.0878 +2025-07-02 19:32:27,638 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 19:32:43,314 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:48:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 19:32:58,963 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:48:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 19:33:14,663 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1299, loss: 0.1299 +2025-07-02 19:33:30,320 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1044, loss: 0.1044 +2025-07-02 19:33:45,959 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:47:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1180, loss: 0.1180 +2025-07-02 19:34:01,699 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:47:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1031, loss: 0.1031 +2025-07-02 19:34:17,233 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1264, loss: 0.1264 +2025-07-02 19:34:32,761 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:46:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 19:34:48,327 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:46:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0893, loss: 0.0893 +2025-07-02 19:35:01,175 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 19:35:23,813 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:35:23,823 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9967 +2025-07-02 19:35:23,824 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9449, top5_acc: 0.9967 +2025-07-02 19:36:00,730 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:45, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 19:36:16,359 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:45:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9962, loss_cls: 0.0810, loss: 0.0810 +2025-07-02 19:36:31,927 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:45:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 0.0920, loss: 0.0920 +2025-07-02 19:36:47,544 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 19:37:03,151 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 19:37:18,832 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:44:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1082, loss: 0.1082 +2025-07-02 19:37:34,454 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:44:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 19:37:49,994 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1217, loss: 0.1217 +2025-07-02 19:38:05,543 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0909, loss: 0.0909 +2025-07-02 19:38:21,132 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:43:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 19:38:36,716 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0998, loss: 0.0998 +2025-07-02 19:38:49,367 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 19:39:11,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:39:11,822 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9959 +2025-07-02 19:39:11,825 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_98.pth was removed +2025-07-02 19:39:11,939 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-07-02 19:39:11,940 - pyskl - INFO - Best top1_acc is 0.9516 at 118 epoch. +2025-07-02 19:39:11,941 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9516, top5_acc: 0.9959 +2025-07-02 19:39:49,150 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:32, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0940, loss: 0.0940 +2025-07-02 19:40:04,866 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:42:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 19:40:20,538 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0842, loss: 0.0842 +2025-07-02 19:40:36,291 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 19:40:51,918 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:41:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0625, loss: 0.0625 +2025-07-02 19:41:07,607 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:41:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0752, loss: 0.0752 +2025-07-02 19:41:23,306 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 19:41:38,979 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 19:41:54,617 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:40:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0523, loss: 0.0523 +2025-07-02 19:42:10,243 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:40:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0589, loss: 0.0589 +2025-07-02 19:42:25,831 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0859, loss: 0.0859 +2025-07-02 19:42:38,628 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 19:43:01,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:43:01,059 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9937 +2025-07-02 19:43:01,059 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9508, top5_acc: 0.9937 +2025-07-02 19:43:38,167 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:39:20, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1028, loss: 0.1028 +2025-07-02 19:43:53,837 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:39:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0725, loss: 0.0725 +2025-07-02 19:44:09,367 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9969, loss_cls: 0.0728, loss: 0.0728 +2025-07-02 19:44:24,945 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0629, loss: 0.0629 +2025-07-02 19:44:40,497 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:38:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0812, loss: 0.0812 +2025-07-02 19:44:56,228 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0749, loss: 0.0749 +2025-07-02 19:45:11,865 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 19:45:27,484 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:37:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0966, loss: 0.0966 +2025-07-02 19:45:43,068 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:37:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0528, loss: 0.0528 +2025-07-02 19:45:58,598 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0733, loss: 0.0733 +2025-07-02 19:46:14,182 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0801, loss: 0.0801 +2025-07-02 19:46:26,913 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 19:46:49,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:46:49,841 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9956 +2025-07-02 19:46:49,844 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_118.pth was removed +2025-07-02 19:46:49,955 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-07-02 19:46:49,955 - pyskl - INFO - Best top1_acc is 0.9549 at 120 epoch. +2025-07-02 19:46:49,956 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9549, top5_acc: 0.9956 +2025-07-02 19:47:27,538 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:36:07, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0660, loss: 0.0660 +2025-07-02 19:47:43,139 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9956, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 19:47:58,697 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0867, loss: 0.0867 +2025-07-02 19:48:14,314 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:35:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 19:48:29,946 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:35:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0965, loss: 0.0965 +2025-07-02 19:48:45,539 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0719, loss: 0.0719 +2025-07-02 19:49:01,237 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:34:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 19:49:16,870 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:34:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1249, loss: 0.1249 +2025-07-02 19:49:32,529 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0604, loss: 0.0604 +2025-07-02 19:49:48,188 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0896, loss: 0.0896 +2025-07-02 19:50:03,830 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:33:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 19:50:16,673 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 19:50:39,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:50:39,887 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9963 +2025-07-02 19:50:39,888 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9523, top5_acc: 0.9963 +2025-07-02 19:51:17,410 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:55, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 19:51:33,070 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 19:51:48,743 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:32:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0685, loss: 0.0685 +2025-07-02 19:52:04,349 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:32:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 19:52:19,944 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 19:52:35,778 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 19:52:51,604 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:31:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 19:53:07,306 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 19:53:22,953 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 19:53:38,586 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:30:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0800, loss: 0.0800 +2025-07-02 19:53:54,186 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:30:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0749, loss: 0.0749 +2025-07-02 19:54:06,970 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 19:54:30,333 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:54:30,343 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9963 +2025-07-02 19:54:30,347 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_120.pth was removed +2025-07-02 19:54:30,467 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-07-02 19:54:30,468 - pyskl - INFO - Best top1_acc is 0.9553 at 122 epoch. +2025-07-02 19:54:30,469 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9553, top5_acc: 0.9963 +2025-07-02 19:55:08,159 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:42, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0741, loss: 0.0741 +2025-07-02 19:55:23,806 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:29:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0844, loss: 0.0844 +2025-07-02 19:55:39,490 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:29:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 19:55:55,123 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 19:56:11,050 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 19:56:26,851 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:28:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 19:56:42,933 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:28:03, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 19:56:58,837 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:47, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 19:57:14,618 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 19:57:30,315 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:27:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 19:57:45,880 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 19:57:58,671 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 19:58:21,854 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:58:21,864 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9967 +2025-07-02 19:58:21,865 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9516, top5_acc: 0.9967 +2025-07-02 19:58:59,668 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:30, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 19:59:15,281 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:26:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0607, loss: 0.0607 +2025-07-02 19:59:30,913 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 19:59:46,551 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 20:00:02,219 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:25:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0820, loss: 0.0820 +2025-07-02 20:00:17,985 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:25:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 20:00:33,880 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:51, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 20:00:49,680 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 20:01:05,470 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:24:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 20:01:21,059 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:24:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0812, loss: 0.0812 +2025-07-02 20:01:36,591 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 20:01:49,272 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 20:02:12,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:02:12,657 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9956 +2025-07-02 20:02:12,658 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9527, top5_acc: 0.9956 +2025-07-02 20:02:50,409 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:23:17, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0729, loss: 0.0729 +2025-07-02 20:03:06,096 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:23:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0580, loss: 0.0580 +2025-07-02 20:03:21,877 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 20:03:37,766 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:28, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 20:03:53,514 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:22:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 20:04:09,181 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 20:04:25,002 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0754, loss: 0.0754 +2025-07-02 20:04:40,640 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:21:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 20:04:56,249 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:21:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:05:11,837 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0546, loss: 0.0546 +2025-07-02 20:05:27,452 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 20:05:40,209 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 20:06:04,155 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:06:04,165 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9963 +2025-07-02 20:06:04,165 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9534, top5_acc: 0.9963 +2025-07-02 20:06:42,035 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:20:05, time: 0.379, data_time: 0.217, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 20:06:57,696 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 20:07:13,348 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0587, loss: 0.0587 +2025-07-02 20:07:29,082 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:19:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 20:07:44,689 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0554, loss: 0.0554 +2025-07-02 20:08:00,357 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 20:08:16,081 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 20:08:31,700 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:18:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 20:08:47,311 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0601, loss: 0.0601 +2025-07-02 20:09:02,995 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 20:09:18,604 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:17:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0588, loss: 0.0588 +2025-07-02 20:09:31,472 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 20:09:55,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:09:55,357 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9963 +2025-07-02 20:09:55,357 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9516, top5_acc: 0.9963 +2025-07-02 20:10:33,446 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:52, time: 0.381, data_time: 0.221, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 20:10:49,093 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 20:11:04,856 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:16:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 20:11:20,746 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:16:03, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 20:11:36,495 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 20:11:52,209 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 20:12:07,869 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:15:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:12:23,497 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:12:39,120 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 20:12:54,729 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0719, loss: 0.0719 +2025-07-02 20:13:10,353 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:14:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9950, loss_cls: 0.0863, loss: 0.0863 +2025-07-02 20:13:23,185 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 20:13:47,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:13:47,251 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9963 +2025-07-02 20:13:47,251 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9549, top5_acc: 0.9963 +2025-07-02 20:14:25,146 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:40, time: 0.379, data_time: 0.217, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0556, loss: 0.0556 +2025-07-02 20:14:41,005 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:13:23, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:14:56,842 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:13:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 20:15:12,574 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 20:15:28,559 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:34, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0715, loss: 0.0715 +2025-07-02 20:15:44,327 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:12:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 20:16:00,098 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:12:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0669, loss: 0.0669 +2025-07-02 20:16:15,827 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 20:16:31,490 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 20:16:47,119 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:11:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 20:17:02,767 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 20:17:15,596 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 20:17:38,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:17:38,837 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9967 +2025-07-02 20:17:38,838 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9534, top5_acc: 0.9967 +2025-07-02 20:18:16,129 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:27, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 20:18:31,790 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:10:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 20:18:47,373 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 20:19:03,010 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 20:19:18,863 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:09:21, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0633, loss: 0.0633 +2025-07-02 20:19:34,657 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:09:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 20:19:50,376 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 20:20:06,082 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 20:20:21,693 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:08:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 20:20:37,308 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 20:20:52,951 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 20:21:05,675 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 20:21:28,414 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:21:28,424 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9959 +2025-07-02 20:21:28,427 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_122.pth was removed +2025-07-02 20:21:28,548 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 20:21:28,548 - pyskl - INFO - Best top1_acc is 0.9578 at 129 epoch. +2025-07-02 20:21:28,549 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9578, top5_acc: 0.9959 +2025-07-02 20:22:05,905 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:07:15, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 20:22:21,578 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 20:22:37,282 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 20:22:52,991 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 20:23:08,656 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:06:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 20:23:24,327 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 20:23:40,041 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0479, loss: 0.0479 +2025-07-02 20:23:55,738 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:05:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 20:24:11,393 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:05:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 20:24:27,084 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 20:24:42,762 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0489, loss: 0.0489 +2025-07-02 20:24:55,590 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 20:25:18,311 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:25:18,321 - pyskl - INFO - +top1_acc 0.9571 +top5_acc 0.9963 +2025-07-02 20:25:18,322 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9571, top5_acc: 0.9963 +2025-07-02 20:25:55,445 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:04:02, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 20:26:11,106 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 20:26:26,867 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 20:26:42,648 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:03:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 20:26:58,195 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 20:27:13,869 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 20:27:29,526 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 20:27:45,014 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:02:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 20:28:00,465 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 20:28:15,947 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 20:28:31,419 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:01:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 20:28:44,094 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 20:29:06,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:29:06,706 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9967 +2025-07-02 20:29:06,706 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9553, top5_acc: 0.9967 +2025-07-02 20:29:43,856 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:49, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9975, loss_cls: 0.0618, loss: 0.0618 +2025-07-02 20:29:59,384 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 20:30:14,952 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 1:00:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 20:30:30,507 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 20:30:46,105 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 20:31:01,822 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 20:31:17,529 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:59:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 20:31:33,178 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 20:31:48,773 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 20:32:04,330 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 20:32:19,866 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:58:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 20:32:32,577 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 20:32:55,357 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:32:55,367 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9967 +2025-07-02 20:32:55,367 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9560, top5_acc: 0.9967 +2025-07-02 20:33:33,011 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:36, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 20:33:48,593 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 20:34:04,303 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:57:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 20:34:19,968 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 20:34:35,639 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 20:34:51,314 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:56:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:35:06,989 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0548, loss: 0.0548 +2025-07-02 20:35:22,617 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 20:35:38,244 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 20:35:53,863 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:55:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 20:36:09,458 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 20:36:22,222 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 20:36:44,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:36:44,790 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9963 +2025-07-02 20:36:44,791 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9534, top5_acc: 0.9963 +2025-07-02 20:37:22,450 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:23, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 20:37:38,304 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:54:07, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 20:37:54,058 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 20:38:10,013 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:34, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 20:38:25,675 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 20:38:41,338 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:53:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:38:56,985 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 20:39:12,567 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 20:39:28,136 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:52:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 20:39:43,745 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 20:39:59,363 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 20:40:12,111 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 20:40:34,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:40:34,925 - pyskl - INFO - +top1_acc 0.9608 +top5_acc 0.9959 +2025-07-02 20:40:34,929 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_129.pth was removed +2025-07-02 20:40:35,052 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 20:40:35,052 - pyskl - INFO - Best top1_acc is 0.9608 at 134 epoch. +2025-07-02 20:40:35,054 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9608, top5_acc: 0.9959 +2025-07-02 20:41:12,645 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:51:11, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 20:41:28,333 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 20:41:44,003 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 20:41:59,715 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 20:42:15,313 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:50:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 20:42:30,969 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 20:42:46,636 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 20:43:02,266 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 20:43:17,932 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 20:43:33,537 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 20:43:49,158 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 20:44:01,905 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 20:44:24,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:44:24,842 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9952 +2025-07-02 20:44:24,842 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9567, top5_acc: 0.9952 +2025-07-02 20:45:02,762 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:58, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 20:45:18,520 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:45:34,243 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 20:45:50,022 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:47:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 20:46:05,610 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 20:46:21,343 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 20:46:37,182 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 20:46:53,035 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:46:03, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 20:47:08,736 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 20:47:24,358 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 20:47:39,939 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:45:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 20:47:52,665 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 20:48:15,303 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:48:15,313 - pyskl - INFO - +top1_acc 0.9575 +top5_acc 0.9963 +2025-07-02 20:48:15,314 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9575, top5_acc: 0.9963 +2025-07-02 20:48:52,875 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:45, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 20:49:08,532 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 20:49:24,251 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:44:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 20:49:40,138 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:56, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 20:49:55,898 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:50:11,682 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 20:50:27,382 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:43:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 20:50:43,076 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 20:50:58,743 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 20:51:14,382 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 20:51:30,061 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:42:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 20:51:42,877 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 20:52:05,381 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:52:05,391 - pyskl - INFO - +top1_acc 0.9586 +top5_acc 0.9959 +2025-07-02 20:52:05,391 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9586, top5_acc: 0.9959 +2025-07-02 20:52:42,882 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:32, time: 0.375, data_time: 0.213, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 20:52:58,419 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 20:53:14,078 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 20:53:29,820 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 20:53:45,550 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 20:54:01,312 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:40:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 20:54:16,889 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 20:54:32,521 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:54:48,098 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 20:55:03,725 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:39:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 20:55:19,307 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 20:55:32,013 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 20:55:54,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:55:54,681 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9963 +2025-07-02 20:55:54,685 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_134.pth was removed +2025-07-02 20:55:54,796 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-07-02 20:55:54,797 - pyskl - INFO - Best top1_acc is 0.9615 at 138 epoch. +2025-07-02 20:55:54,798 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9615, top5_acc: 0.9963 +2025-07-02 20:56:31,912 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:19, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 20:56:47,563 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:38:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 20:57:03,121 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 20:57:18,627 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 20:57:34,290 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 20:57:49,809 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 20:58:05,305 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 20:58:20,816 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 20:58:36,374 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:36:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 20:58:51,918 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 20:59:07,450 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:59:20,086 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 20:59:42,534 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:59:42,544 - pyskl - INFO - +top1_acc 0.9589 +top5_acc 0.9959 +2025-07-02 20:59:42,544 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9589, top5_acc: 0.9959 +2025-07-02 21:00:19,522 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:35:06, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 21:00:35,088 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 21:00:50,780 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 21:01:06,476 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0215, loss: 0.0215 +2025-07-02 21:01:22,156 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:34:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 21:01:37,702 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 21:01:53,325 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 21:02:08,837 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 21:02:24,369 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 21:02:39,961 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 21:02:55,536 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 21:03:08,301 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 21:03:31,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:03:31,345 - pyskl - INFO - +top1_acc 0.9597 +top5_acc 0.9959 +2025-07-02 21:03:31,345 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9597, top5_acc: 0.9959 +2025-07-02 21:04:08,832 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:53, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 21:04:24,510 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 21:04:40,180 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 21:04:55,989 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:31:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0159, loss: 0.0159 +2025-07-02 21:05:11,614 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 21:05:27,248 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 21:05:43,032 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 21:05:58,687 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 21:06:14,316 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0143, loss: 0.0143 +2025-07-02 21:06:29,940 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 21:06:45,578 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:29:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 21:06:58,343 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 21:07:21,416 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:07:21,426 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9963 +2025-07-02 21:07:21,430 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_138.pth was removed +2025-07-02 21:07:21,556 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2025-07-02 21:07:21,557 - pyskl - INFO - Best top1_acc is 0.9619 at 141 epoch. +2025-07-02 21:07:21,558 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9619, top5_acc: 0.9963 +2025-07-02 21:07:59,252 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:40, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 21:08:14,910 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 21:08:30,542 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:28:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 21:08:46,184 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 21:09:01,865 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 21:09:17,521 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 21:09:33,160 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:27:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 21:09:48,877 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 21:10:04,589 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 21:10:20,206 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 21:10:35,785 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 21:10:48,520 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 21:11:12,314 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:11:12,325 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9967 +2025-07-02 21:11:12,325 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9578, top5_acc: 0.9967 +2025-07-02 21:11:49,773 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:27, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 21:12:05,474 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0163, loss: 0.0163 +2025-07-02 21:12:21,209 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 21:12:36,906 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:12:52,597 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 21:13:08,322 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:24:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 21:13:24,014 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 21:13:39,694 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 21:13:55,386 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 21:14:11,106 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 21:14:26,781 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 21:14:39,601 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 21:15:03,192 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:15:03,202 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9956 +2025-07-02 21:15:03,202 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9564, top5_acc: 0.9956 +2025-07-02 21:15:40,719 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:14, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 21:15:56,325 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:16:11,982 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 21:16:27,649 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0162, loss: 0.0162 +2025-07-02 21:16:43,376 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 21:16:58,949 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 21:17:14,666 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:17:30,338 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 21:17:45,888 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:20:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 21:18:01,437 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 21:18:16,964 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 21:18:29,639 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 21:18:52,308 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:18:52,318 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9967 +2025-07-02 21:18:52,319 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9604, top5_acc: 0.9967 +2025-07-02 21:19:30,029 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:19:01, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 21:19:45,639 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 21:20:01,279 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 21:20:16,929 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 21:20:32,535 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 21:20:48,218 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0212, loss: 0.0212 +2025-07-02 21:21:03,822 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 21:21:19,417 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 21:21:35,027 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 21:21:50,645 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 21:22:06,223 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 21:22:19,159 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 21:22:42,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:22:42,062 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9952 +2025-07-02 21:22:42,062 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9601, top5_acc: 0.9952 +2025-07-02 21:23:19,595 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:48, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 21:23:35,209 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 21:23:50,936 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 21:24:06,790 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:59, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0140, loss: 0.0140 +2025-07-02 21:24:22,481 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 21:24:38,190 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 21:24:53,753 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 21:25:09,293 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 21:25:24,823 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 21:25:40,344 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0143, loss: 0.0143 +2025-07-02 21:25:55,875 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 21:26:08,575 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 21:26:31,655 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:26:31,666 - pyskl - INFO - +top1_acc 0.9604 +top5_acc 0.9963 +2025-07-02 21:26:31,666 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9604, top5_acc: 0.9963 +2025-07-02 21:27:09,174 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:35, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 21:27:24,762 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 21:27:40,461 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:12:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 21:27:56,153 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0125, loss: 0.0125 +2025-07-02 21:28:11,884 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 21:28:27,528 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0247, loss: 0.0247 +2025-07-02 21:28:43,136 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 21:28:58,779 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 21:29:14,424 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 21:29:30,066 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0196, loss: 0.0196 +2025-07-02 21:29:45,697 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 21:29:58,482 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 21:30:21,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:30:21,424 - pyskl - INFO - +top1_acc 0.9597 +top5_acc 0.9952 +2025-07-02 21:30:21,424 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9597, top5_acc: 0.9952 +2025-07-02 21:30:58,942 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:22, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 21:31:14,539 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 21:31:30,162 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0247, loss: 0.0247 +2025-07-02 21:31:45,886 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 21:32:01,535 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 21:32:17,156 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:08:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 21:32:32,851 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 21:32:48,574 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 21:33:04,224 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0158, loss: 0.0158 +2025-07-02 21:33:19,843 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 21:33:35,438 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 21:33:48,234 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 21:34:11,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:34:11,129 - pyskl - INFO - +top1_acc 0.9586 +top5_acc 0.9959 +2025-07-02 21:34:11,129 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9586, top5_acc: 0.9959 +2025-07-02 21:34:48,886 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:09, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 21:35:04,550 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:35:20,220 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0135, loss: 0.0135 +2025-07-02 21:35:35,907 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0099, loss: 0.0099 +2025-07-02 21:35:51,734 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:04, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 21:36:07,515 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 21:36:23,203 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 21:36:38,809 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 21:36:54,396 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 21:37:09,994 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 21:37:25,587 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 21:37:38,273 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 21:38:01,755 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:38:01,765 - pyskl - INFO - +top1_acc 0.9593 +top5_acc 0.9952 +2025-07-02 21:38:01,766 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9593, top5_acc: 0.9952 +2025-07-02 21:38:39,182 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:56, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 21:38:54,741 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 21:39:10,421 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 21:39:26,087 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 21:39:41,674 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 21:39:57,265 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 21:40:12,922 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 21:40:28,628 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 21:40:44,608 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 21:41:00,347 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:41:16,100 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0140, loss: 0.0140 +2025-07-02 21:41:28,998 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 21:41:53,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:41:53,115 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9963 +2025-07-02 21:41:53,115 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9615, top5_acc: 0.9963 +2025-07-02 21:41:59,934 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 21:43:23,900 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 21:43:23,900 - pyskl - INFO - top1_acc: 0.9645 +2025-07-02 21:43:23,900 - pyskl - INFO - top5_acc: 0.9956 +2025-07-02 21:43:23,901 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/k_1/best_top1_acc_epoch_141.pth +2025-07-02 21:44:47,056 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 21:44:47,056 - pyskl - INFO - top1_acc: 0.9641 +2025-07-02 21:44:47,056 - pyskl - INFO - top5_acc: 0.9967 diff --git a/pku_mmd_xsub/k_1/20250702_120945.log.json b/pku_mmd_xsub/k_1/20250702_120945.log.json new file mode 100644 index 0000000000000000000000000000000000000000..e636ed1671a6e66eb8ec0e048cd852360fb087f4 --- /dev/null +++ b/pku_mmd_xsub/k_1/20250702_120945.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. 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0.99625, "top5_acc": 0.99875, "loss_cls": 0.02687, "loss": 0.02687, "time": 0.15595} +{"mode": "val", "epoch": 148, "iter": 169, "lr": 1e-05, "top1_acc": 0.95858, "top5_acc": 0.99593} +{"mode": "train", "epoch": 149, "iter": 100, "lr": 1e-05, "memory": 3566, "data_time": 0.21695, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02194, "loss": 0.02194, "time": 0.37752} +{"mode": "train", "epoch": 149, "iter": 200, "lr": 1e-05, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.02664, "loss": 0.02664, "time": 0.15663} +{"mode": "train", "epoch": 149, "iter": 300, "lr": 1e-05, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.01354, "loss": 0.01354, "time": 0.1567} +{"mode": "train", "epoch": 149, "iter": 400, "lr": 1e-05, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99812, "top5_acc": 1.0, "loss_cls": 0.00992, "loss": 0.00992, "time": 0.15687} +{"mode": "train", "epoch": 149, "iter": 500, "lr": 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"iter": 400, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99312, "top5_acc": 0.99938, "loss_cls": 0.02741, "loss": 0.02741, "time": 0.15665} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 3566, "data_time": 0.00017, "top1_acc": 0.99312, "top5_acc": 1.0, "loss_cls": 0.03861, "loss": 0.03861, "time": 0.15587} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99062, "top5_acc": 0.99938, "loss_cls": 0.04079, "loss": 0.04079, "time": 0.1559} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.02854, "loss": 0.02854, "time": 0.15657} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.03101, "loss": 0.03101, "time": 0.15706} +{"mode": "train", "epoch": 150, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02054, "loss": 0.02054, "time": 0.15979} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02018, "loss": 0.02018, "time": 0.15738} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99812, "top5_acc": 1.0, "loss_cls": 0.014, "loss": 0.014, "time": 0.15753} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.96154, "top5_acc": 0.9963} diff --git a/pku_mmd_xsub/k_1/best_pred.pkl b/pku_mmd_xsub/k_1/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..3e1a0b4f616db61cac629229765f52116b8ebaa4 --- /dev/null +++ b/pku_mmd_xsub/k_1/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:31b153f489afd44318e3046d5dd881bed38d11d06fe5b347c6a98322c965f41f +size 953839 diff --git a/pku_mmd_xsub/k_1/best_top1_acc_epoch_150.pth b/pku_mmd_xsub/k_1/best_top1_acc_epoch_150.pth new file mode 100644 index 0000000000000000000000000000000000000000..4b90d46da6349412631d9949843ddbf0dc90b625 --- /dev/null +++ b/pku_mmd_xsub/k_1/best_top1_acc_epoch_150.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:081186ff32a98d8019075f15f55f097d3bf0ed4d3e97d11a37aff9a701974584 +size 16576377 diff --git a/pku_mmd_xsub/k_1/k_1.py b/pku_mmd_xsub/k_1/k_1.py new file mode 100644 index 0000000000000000000000000000000000000000..a87b8b593801f6072ab3803b21a084831693a549 --- /dev/null +++ b/pku_mmd_xsub/k_1/k_1.py @@ -0,0 +1,98 @@ +modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/k_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/k_2/20250702_120831.log b/pku_mmd_xsub/k_2/20250702_120831.log new file mode 100644 index 0000000000000000000000000000000000000000..6f8ad15597efe2254387295998306d8243d0da72 --- /dev/null +++ b/pku_mmd_xsub/k_2/20250702_120831.log @@ -0,0 +1,2823 @@ +2025-07-02 12:08:31,806 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 12:08:32,131 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/k_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 12:08:32,131 - pyskl - INFO - Set random seed to 106956859, deterministic: False +2025-07-02 12:08:36,082 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 12:08:58,031 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 12:08:58,036 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2 +2025-07-02 12:08:58,036 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 12:08:58,036 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 12:08:58,036 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2 by HardDiskBackend. +2025-07-02 12:09:34,037 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:39:31, time: 0.360, data_time: 0.205, memory: 3565, top1_acc: 0.0563, top5_acc: 0.2006, loss_cls: 4.3344, loss: 4.3344 +2025-07-02 12:09:49,229 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:32:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.1169, top5_acc: 0.3731, loss_cls: 3.9405, loss: 3.9405 +2025-07-02 12:10:04,194 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:48:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1869, top5_acc: 0.5637, loss_cls: 3.3699, loss: 3.3699 +2025-07-02 12:10:19,232 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:56:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.2500, top5_acc: 0.6162, loss_cls: 3.1628, loss: 3.1628 +2025-07-02 12:10:34,373 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:25:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2944, top5_acc: 0.6937, loss_cls: 2.8741, loss: 2.8741 +2025-07-02 12:10:49,498 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:05:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3287, top5_acc: 0.7581, loss_cls: 2.7249, loss: 2.7249 +2025-07-02 12:11:04,578 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:50:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3806, top5_acc: 0.8037, loss_cls: 2.4848, loss: 2.4848 +2025-07-02 12:11:19,628 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:38:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4044, top5_acc: 0.8331, loss_cls: 2.3709, loss: 2.3709 +2025-07-02 12:11:34,671 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:29:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4531, top5_acc: 0.8656, loss_cls: 2.1718, loss: 2.1718 +2025-07-02 12:11:49,779 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:22:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4856, top5_acc: 0.8750, loss_cls: 2.1319, loss: 2.1319 +2025-07-02 12:12:04,973 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:17:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5331, top5_acc: 0.9056, loss_cls: 1.9575, loss: 1.9575 +2025-07-02 12:12:17,378 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 12:12:39,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:12:39,590 - pyskl - INFO - +top1_acc 0.5396 +top5_acc 0.9423 +2025-07-02 12:12:39,711 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 12:12:39,711 - pyskl - INFO - Best top1_acc is 0.5396 at 1 epoch. +2025-07-02 12:12:39,712 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5396, top5_acc: 0.9423 +2025-07-02 12:13:15,176 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:28:45, time: 0.355, data_time: 0.206, memory: 3565, top1_acc: 0.5675, top5_acc: 0.9300, loss_cls: 1.7725, loss: 1.7725 +2025-07-02 12:13:30,334 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:23:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5663, top5_acc: 0.9144, loss_cls: 1.8153, loss: 1.8153 +2025-07-02 12:13:45,557 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:19:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6438, top5_acc: 0.9363, loss_cls: 1.5964, loss: 1.5964 +2025-07-02 12:14:00,865 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:15:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6100, top5_acc: 0.9269, loss_cls: 1.6567, loss: 1.6567 +2025-07-02 12:14:15,805 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:11:59, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6544, top5_acc: 0.9344, loss_cls: 1.5935, loss: 1.5935 +2025-07-02 12:14:30,769 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:08:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6525, top5_acc: 0.9475, loss_cls: 1.5300, loss: 1.5300 +2025-07-02 12:14:45,774 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:05:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6713, top5_acc: 0.9463, loss_cls: 1.4747, loss: 1.4747 +2025-07-02 12:15:00,731 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:02:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6663, top5_acc: 0.9506, loss_cls: 1.4821, loss: 1.4821 +2025-07-02 12:15:15,720 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:00:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6719, top5_acc: 0.9437, loss_cls: 1.4678, loss: 1.4678 +2025-07-02 12:15:30,765 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:58:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6869, top5_acc: 0.9481, loss_cls: 1.4367, loss: 1.4367 +2025-07-02 12:15:45,767 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:55:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6931, top5_acc: 0.9575, loss_cls: 1.3821, loss: 1.3821 +2025-07-02 12:15:58,035 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 12:16:20,900 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:16:20,910 - pyskl - INFO - +top1_acc 0.7433 +top5_acc 0.9730 +2025-07-02 12:16:20,916 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_1.pth was removed +2025-07-02 12:16:21,032 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 12:16:21,033 - pyskl - INFO - Best top1_acc is 0.7433 at 2 epoch. +2025-07-02 12:16:21,033 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.7433, top5_acc: 0.9730 +2025-07-02 12:16:56,852 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:03:22, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.6925, top5_acc: 0.9475, loss_cls: 1.3882, loss: 1.3882 +2025-07-02 12:17:12,075 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:01:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7231, top5_acc: 0.9619, loss_cls: 1.2989, loss: 1.2989 +2025-07-02 12:17:27,298 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 7:59:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7231, top5_acc: 0.9563, loss_cls: 1.2581, loss: 1.2581 +2025-07-02 12:17:42,417 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:57:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7169, top5_acc: 0.9531, loss_cls: 1.3065, loss: 1.3065 +2025-07-02 12:17:57,642 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:56:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7156, top5_acc: 0.9556, loss_cls: 1.3173, loss: 1.3173 +2025-07-02 12:18:13,018 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:55:03, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.7306, top5_acc: 0.9587, loss_cls: 1.2757, loss: 1.2757 +2025-07-02 12:18:28,200 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:53:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7575, top5_acc: 0.9663, loss_cls: 1.1837, loss: 1.1837 +2025-07-02 12:18:43,422 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:52:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7419, top5_acc: 0.9606, loss_cls: 1.2042, loss: 1.2042 +2025-07-02 12:18:58,635 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:51:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7494, top5_acc: 0.9531, loss_cls: 1.2139, loss: 1.2139 +2025-07-02 12:19:13,781 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:49:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7612, top5_acc: 0.9625, loss_cls: 1.1566, loss: 1.1566 +2025-07-02 12:19:29,086 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:48:42, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7694, top5_acc: 0.9587, loss_cls: 1.1577, loss: 1.1577 +2025-07-02 12:19:41,491 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 12:20:04,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:20:04,194 - pyskl - INFO - +top1_acc 0.8003 +top5_acc 0.9826 +2025-07-02 12:20:04,198 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_2.pth was removed +2025-07-02 12:20:04,315 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 12:20:04,316 - pyskl - INFO - Best top1_acc is 0.8003 at 3 epoch. +2025-07-02 12:20:04,317 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.8003, top5_acc: 0.9826 +2025-07-02 12:20:40,082 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:53:41, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.7725, top5_acc: 0.9675, loss_cls: 1.1151, loss: 1.1151 +2025-07-02 12:20:55,290 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:52:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7475, top5_acc: 0.9656, loss_cls: 1.1711, loss: 1.1711 +2025-07-02 12:21:10,338 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:51:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7688, top5_acc: 0.9681, loss_cls: 1.0740, loss: 1.0740 +2025-07-02 12:21:25,402 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:49:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7481, top5_acc: 0.9587, loss_cls: 1.1687, loss: 1.1687 +2025-07-02 12:21:40,418 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:48:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7656, top5_acc: 0.9581, loss_cls: 1.1501, loss: 1.1501 +2025-07-02 12:21:55,448 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:47:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9631, loss_cls: 1.1451, loss: 1.1451 +2025-07-02 12:22:10,567 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:46:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7719, top5_acc: 0.9694, loss_cls: 1.1013, loss: 1.1013 +2025-07-02 12:22:25,662 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:45:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7525, top5_acc: 0.9613, loss_cls: 1.1537, loss: 1.1537 +2025-07-02 12:22:40,702 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:44:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7719, top5_acc: 0.9731, loss_cls: 1.0864, loss: 1.0864 +2025-07-02 12:22:55,797 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:43:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7812, top5_acc: 0.9625, loss_cls: 1.1199, loss: 1.1199 +2025-07-02 12:23:10,835 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:42:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7837, top5_acc: 0.9725, loss_cls: 1.0353, loss: 1.0353 +2025-07-02 12:23:23,012 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 12:23:45,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:23:45,572 - pyskl - INFO - +top1_acc 0.7352 +top5_acc 0.9719 +2025-07-02 12:23:45,572 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7352, top5_acc: 0.9719 +2025-07-02 12:24:21,579 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:46:28, time: 0.360, data_time: 0.208, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9756, loss_cls: 1.0056, loss: 1.0056 +2025-07-02 12:24:36,614 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:45:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7913, top5_acc: 0.9712, loss_cls: 0.9927, loss: 0.9927 +2025-07-02 12:24:51,585 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:44:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7925, top5_acc: 0.9700, loss_cls: 1.0440, loss: 1.0440 +2025-07-02 12:25:06,538 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:43:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7956, top5_acc: 0.9700, loss_cls: 0.9945, loss: 0.9945 +2025-07-02 12:25:21,509 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:42:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7750, top5_acc: 0.9719, loss_cls: 1.0456, loss: 1.0456 +2025-07-02 12:25:36,559 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:41:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9738, loss_cls: 0.9922, loss: 0.9922 +2025-07-02 12:25:51,588 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:40:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7887, top5_acc: 0.9725, loss_cls: 0.9838, loss: 0.9838 +2025-07-02 12:26:06,622 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:39:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9669, loss_cls: 0.9998, loss: 0.9998 +2025-07-02 12:26:21,512 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:39:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9669, loss_cls: 0.9583, loss: 0.9583 +2025-07-02 12:26:36,402 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:38:10, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9675, loss_cls: 0.9696, loss: 0.9696 +2025-07-02 12:26:51,385 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:37:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9681, loss_cls: 0.9960, loss: 0.9960 +2025-07-02 12:27:03,675 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 12:27:26,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:27:26,457 - pyskl - INFO - +top1_acc 0.8010 +top5_acc 0.9841 +2025-07-02 12:27:26,460 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_3.pth was removed +2025-07-02 12:27:26,572 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 12:27:26,572 - pyskl - INFO - Best top1_acc is 0.8010 at 5 epoch. +2025-07-02 12:27:26,573 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.8010, top5_acc: 0.9841 +2025-07-02 12:28:02,234 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:40:15, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9781, loss_cls: 0.8720, loss: 0.8720 +2025-07-02 12:28:17,278 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:39:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9700, loss_cls: 0.9727, loss: 0.9727 +2025-07-02 12:28:32,451 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:38:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9706, loss_cls: 0.9591, loss: 0.9591 +2025-07-02 12:28:47,394 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:37:55, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9731, loss_cls: 0.9536, loss: 0.9536 +2025-07-02 12:29:02,445 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:37:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9762, loss_cls: 0.8870, loss: 0.8870 +2025-07-02 12:29:17,567 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:36:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8156, top5_acc: 0.9719, loss_cls: 0.9303, loss: 0.9303 +2025-07-02 12:29:32,735 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:35:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9769, loss_cls: 0.9077, loss: 0.9077 +2025-07-02 12:29:47,962 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:35:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9775, loss_cls: 0.8673, loss: 0.8673 +2025-07-02 12:30:03,156 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:34:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9731, loss_cls: 0.8938, loss: 0.8938 +2025-07-02 12:30:18,310 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:33:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7831, top5_acc: 0.9738, loss_cls: 1.0039, loss: 1.0039 +2025-07-02 12:30:33,302 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:33:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9731, loss_cls: 0.8821, loss: 0.8821 +2025-07-02 12:30:45,578 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 12:31:08,231 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:31:08,241 - pyskl - INFO - +top1_acc 0.8576 +top5_acc 0.9904 +2025-07-02 12:31:08,244 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_5.pth was removed +2025-07-02 12:31:08,354 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 12:31:08,354 - pyskl - INFO - Best top1_acc is 0.8576 at 6 epoch. +2025-07-02 12:31:08,355 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.8576, top5_acc: 0.9904 +2025-07-02 12:31:44,161 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:35:37, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 0.8857, loss: 0.8857 +2025-07-02 12:31:59,287 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:34:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8181, top5_acc: 0.9762, loss_cls: 0.9036, loss: 0.9036 +2025-07-02 12:32:14,333 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:34:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 0.8272, loss: 0.8272 +2025-07-02 12:32:29,428 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:33:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9694, loss_cls: 0.9649, loss: 0.9649 +2025-07-02 12:32:44,435 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:32:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9738, loss_cls: 0.8332, loss: 0.8332 +2025-07-02 12:32:59,597 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:32:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8156, top5_acc: 0.9750, loss_cls: 0.8746, loss: 0.8746 +2025-07-02 12:33:14,736 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:31:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9794, loss_cls: 0.8363, loss: 0.8363 +2025-07-02 12:33:29,817 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:31:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9719, loss_cls: 0.8776, loss: 0.8776 +2025-07-02 12:33:44,810 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:30:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8163, top5_acc: 0.9762, loss_cls: 0.8853, loss: 0.8853 +2025-07-02 12:33:59,919 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:29:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9738, loss_cls: 0.8684, loss: 0.8684 +2025-07-02 12:34:15,155 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:29:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9712, loss_cls: 0.8665, loss: 0.8665 +2025-07-02 12:34:27,574 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 12:34:49,853 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:34:49,863 - pyskl - INFO - +top1_acc 0.8166 +top5_acc 0.9904 +2025-07-02 12:34:49,864 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8166, top5_acc: 0.9904 +2025-07-02 12:35:25,493 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:31:20, time: 0.356, data_time: 0.206, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9812, loss_cls: 0.8433, loss: 0.8433 +2025-07-02 12:35:40,388 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:30:40, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9812, loss_cls: 0.8139, loss: 0.8139 +2025-07-02 12:35:55,276 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:30:00, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9788, loss_cls: 0.8113, loss: 0.8113 +2025-07-02 12:36:10,387 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:29:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9819, loss_cls: 0.7702, loss: 0.7702 +2025-07-02 12:36:25,538 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:28:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 0.7909, loss: 0.7909 +2025-07-02 12:36:40,674 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:28:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9731, loss_cls: 0.8516, loss: 0.8516 +2025-07-02 12:36:55,784 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:27:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9819, loss_cls: 0.7901, loss: 0.7901 +2025-07-02 12:37:10,840 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:27:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9781, loss_cls: 0.8330, loss: 0.8330 +2025-07-02 12:37:25,898 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:26:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9744, loss_cls: 0.8772, loss: 0.8772 +2025-07-02 12:37:41,025 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:26:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8319, top5_acc: 0.9744, loss_cls: 0.8467, loss: 0.8467 +2025-07-02 12:37:56,191 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:25:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 0.7881, loss: 0.7881 +2025-07-02 12:38:08,618 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 12:38:31,081 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:38:31,091 - pyskl - INFO - +top1_acc 0.8465 +top5_acc 0.9915 +2025-07-02 12:38:31,092 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8465, top5_acc: 0.9915 +2025-07-02 12:39:06,463 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:27:10, time: 0.354, data_time: 0.205, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 0.7870, loss: 0.7870 +2025-07-02 12:39:21,309 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:26:33, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 0.8294, loss: 0.8294 +2025-07-02 12:39:36,372 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:26:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9794, loss_cls: 0.7672, loss: 0.7672 +2025-07-02 12:39:51,448 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:25:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9831, loss_cls: 0.8059, loss: 0.8059 +2025-07-02 12:40:06,482 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:24:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 0.7947, loss: 0.7947 +2025-07-02 12:40:21,527 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:24:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 0.7517, loss: 0.7517 +2025-07-02 12:40:36,658 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:23:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9819, loss_cls: 0.8002, loss: 0.8002 +2025-07-02 12:40:51,782 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:23:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 0.7656, loss: 0.7656 +2025-07-02 12:41:06,745 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:22:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9794, loss_cls: 0.8136, loss: 0.8136 +2025-07-02 12:41:21,676 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:22:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 0.8118, loss: 0.8118 +2025-07-02 12:41:36,533 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:21:45, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9731, loss_cls: 0.8138, loss: 0.8138 +2025-07-02 12:41:48,760 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 12:42:11,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:42:11,237 - pyskl - INFO - +top1_acc 0.8110 +top5_acc 0.9789 +2025-07-02 12:42:11,238 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8110, top5_acc: 0.9789 +2025-07-02 12:42:47,055 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:23:12, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.7214, loss: 0.7214 +2025-07-02 12:43:02,021 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:22:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 0.7189, loss: 0.7189 +2025-07-02 12:43:17,117 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:22:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 0.7682, loss: 0.7682 +2025-07-02 12:43:32,220 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:21:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9762, loss_cls: 0.8098, loss: 0.8098 +2025-07-02 12:43:47,407 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:21:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 0.7440, loss: 0.7440 +2025-07-02 12:44:02,596 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:20:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9844, loss_cls: 0.7272, loss: 0.7272 +2025-07-02 12:44:17,769 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:20:16, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9862, loss_cls: 0.7511, loss: 0.7511 +2025-07-02 12:44:32,872 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:19:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9744, loss_cls: 0.7620, loss: 0.7620 +2025-07-02 12:44:47,962 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:19:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9794, loss_cls: 0.8002, loss: 0.8002 +2025-07-02 12:45:03,077 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:18:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 0.7738, loss: 0.7738 +2025-07-02 12:45:18,158 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:18:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9819, loss_cls: 0.6767, loss: 0.6767 +2025-07-02 12:45:30,492 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 12:45:53,272 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:45:53,283 - pyskl - INFO - +top1_acc 0.8658 +top5_acc 0.9904 +2025-07-02 12:45:53,286 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_6.pth was removed +2025-07-02 12:45:53,403 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 12:45:53,404 - pyskl - INFO - Best top1_acc is 0.8658 at 10 epoch. +2025-07-02 12:45:53,404 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8658, top5_acc: 0.9904 +2025-07-02 12:46:29,481 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:19:42, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 0.7342, loss: 0.7342 +2025-07-02 12:46:44,462 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:19:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9875, loss_cls: 0.7018, loss: 0.7018 +2025-07-02 12:46:59,564 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:18:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9781, loss_cls: 0.7555, loss: 0.7555 +2025-07-02 12:47:14,664 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:18:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9856, loss_cls: 0.7413, loss: 0.7413 +2025-07-02 12:47:29,655 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:17:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6944, loss: 0.6944 +2025-07-02 12:47:44,660 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:17:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8325, top5_acc: 0.9788, loss_cls: 0.7829, loss: 0.7829 +2025-07-02 12:47:59,903 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:16:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9775, loss_cls: 0.7078, loss: 0.7078 +2025-07-02 12:48:15,115 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:16:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9819, loss_cls: 0.8236, loss: 0.8236 +2025-07-02 12:48:30,213 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:15:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 0.7318, loss: 0.7318 +2025-07-02 12:48:45,317 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:15:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 0.7062, loss: 0.7062 +2025-07-02 12:49:00,407 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:15:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 0.6980, loss: 0.6980 +2025-07-02 12:49:12,678 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 12:49:35,183 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:49:35,193 - pyskl - INFO - +top1_acc 0.8373 +top5_acc 0.9893 +2025-07-02 12:49:35,193 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8373, top5_acc: 0.9893 +2025-07-02 12:50:10,724 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:16:07, time: 0.355, data_time: 0.205, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 0.6851, loss: 0.6851 +2025-07-02 12:50:25,691 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:15:38, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 0.6967, loss: 0.6967 +2025-07-02 12:50:40,665 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:15:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9775, loss_cls: 0.7619, loss: 0.7619 +2025-07-02 12:50:55,775 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:14:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9775, loss_cls: 0.7694, loss: 0.7694 +2025-07-02 12:51:10,827 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:14:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 0.6456, loss: 0.6456 +2025-07-02 12:51:25,980 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:13:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9831, loss_cls: 0.7083, loss: 0.7083 +2025-07-02 12:51:41,144 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:13:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.7042, loss: 0.7042 +2025-07-02 12:51:56,276 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:12:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 0.6644, loss: 0.6644 +2025-07-02 12:52:11,333 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:12:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 0.7323, loss: 0.7323 +2025-07-02 12:52:26,358 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:12:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9775, loss_cls: 0.7262, loss: 0.7262 +2025-07-02 12:52:41,405 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:11:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9819, loss_cls: 0.7239, loss: 0.7239 +2025-07-02 12:52:53,675 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 12:53:16,208 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:53:16,218 - pyskl - INFO - +top1_acc 0.8595 +top5_acc 0.9893 +2025-07-02 12:53:16,219 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8595, top5_acc: 0.9893 +2025-07-02 12:53:52,140 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:12:38, time: 0.359, data_time: 0.208, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 0.6825, loss: 0.6825 +2025-07-02 12:54:07,362 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:12:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.6242, loss: 0.6242 +2025-07-02 12:54:22,652 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:11:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 0.7079, loss: 0.7079 +2025-07-02 12:54:37,885 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:11:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9781, loss_cls: 0.7440, loss: 0.7440 +2025-07-02 12:54:52,941 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:11:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 0.6702, loss: 0.6702 +2025-07-02 12:55:07,998 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:10:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 0.7027, loss: 0.7027 +2025-07-02 12:55:23,190 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:10:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 0.7024, loss: 0.7024 +2025-07-02 12:55:38,179 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:09:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 0.6629, loss: 0.6629 +2025-07-02 12:55:53,172 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:09:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 0.7124, loss: 0.7124 +2025-07-02 12:56:08,171 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:08:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9800, loss_cls: 0.7301, loss: 0.7301 +2025-07-02 12:56:23,100 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:08:25, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7080, loss: 0.7080 +2025-07-02 12:56:35,359 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 12:56:57,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:56:57,906 - pyskl - INFO - +top1_acc 0.8595 +top5_acc 0.9882 +2025-07-02 12:56:57,907 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8595, top5_acc: 0.9882 +2025-07-02 12:57:34,045 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:09:18, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 0.7269, loss: 0.7269 +2025-07-02 12:57:49,119 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:08:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9775, loss_cls: 0.6926, loss: 0.6926 +2025-07-02 12:58:04,101 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:08:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9781, loss_cls: 0.7481, loss: 0.7481 +2025-07-02 12:58:19,439 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:08:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6525, loss: 0.6525 +2025-07-02 12:58:34,699 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:07:41, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9812, loss_cls: 0.7111, loss: 0.7111 +2025-07-02 12:58:49,937 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:07:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9819, loss_cls: 0.7561, loss: 0.7561 +2025-07-02 12:59:05,084 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:06:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 0.6929, loss: 0.6929 +2025-07-02 12:59:20,197 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:06:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9825, loss_cls: 0.7035, loss: 0.7035 +2025-07-02 12:59:35,250 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:06:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 0.6567, loss: 0.6567 +2025-07-02 12:59:50,268 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:05:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.6981, loss: 0.6981 +2025-07-02 13:00:05,314 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:05:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 0.6701, loss: 0.6701 +2025-07-02 13:00:17,557 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 13:00:40,955 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:00:40,966 - pyskl - INFO - +top1_acc 0.8609 +top5_acc 0.9922 +2025-07-02 13:00:40,966 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8609, top5_acc: 0.9922 +2025-07-02 13:01:16,563 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:05:57, time: 0.356, data_time: 0.205, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9869, loss_cls: 0.6044, loss: 0.6044 +2025-07-02 13:01:31,561 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:05:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9838, loss_cls: 0.7023, loss: 0.7023 +2025-07-02 13:01:46,609 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:05:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9806, loss_cls: 0.6579, loss: 0.6579 +2025-07-02 13:02:01,599 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:04:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9819, loss_cls: 0.6523, loss: 0.6523 +2025-07-02 13:02:16,644 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:04:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 0.6752, loss: 0.6752 +2025-07-02 13:02:31,772 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:03:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9850, loss_cls: 0.6907, loss: 0.6907 +2025-07-02 13:02:46,939 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:03:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 0.6836, loss: 0.6836 +2025-07-02 13:03:01,988 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:03:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9831, loss_cls: 0.6998, loss: 0.6998 +2025-07-02 13:03:17,221 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:02:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9819, loss_cls: 0.6467, loss: 0.6467 +2025-07-02 13:03:32,453 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:02:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 0.6723, loss: 0.6723 +2025-07-02 13:03:47,540 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:01:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 0.6152, loss: 0.6152 +2025-07-02 13:03:59,894 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 13:04:22,256 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:04:22,266 - pyskl - INFO - +top1_acc 0.8805 +top5_acc 0.9930 +2025-07-02 13:04:22,269 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_10.pth was removed +2025-07-02 13:04:22,381 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-02 13:04:22,381 - pyskl - INFO - Best top1_acc is 0.8805 at 15 epoch. +2025-07-02 13:04:22,382 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8805, top5_acc: 0.9930 +2025-07-02 13:04:58,133 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:02:38, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 0.6654, loss: 0.6654 +2025-07-02 13:05:13,128 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:02:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 0.5793, loss: 0.5793 +2025-07-02 13:05:28,082 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:01:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 0.6632, loss: 0.6632 +2025-07-02 13:05:43,110 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:01:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9906, loss_cls: 0.7169, loss: 0.7169 +2025-07-02 13:05:58,369 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:01:02, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 0.6879, loss: 0.6879 +2025-07-02 13:06:13,523 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:00:40, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9762, loss_cls: 0.6681, loss: 0.6681 +2025-07-02 13:06:28,576 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:00:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9894, loss_cls: 0.6433, loss: 0.6433 +2025-07-02 13:06:43,601 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 6:59:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 0.6430, loss: 0.6430 +2025-07-02 13:06:58,650 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 6:59:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9875, loss_cls: 0.6649, loss: 0.6649 +2025-07-02 13:07:13,704 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 6:59:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 13:07:28,761 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 6:58:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5926, loss: 0.5926 +2025-07-02 13:07:41,000 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 13:08:03,760 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:08:03,770 - pyskl - INFO - +top1_acc 0.8783 +top5_acc 0.9904 +2025-07-02 13:08:03,771 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8783, top5_acc: 0.9904 +2025-07-02 13:08:38,886 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 6:59:11, time: 0.351, data_time: 0.201, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9794, loss_cls: 0.6359, loss: 0.6359 +2025-07-02 13:08:53,758 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 6:58:46, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.6210, loss: 0.6210 +2025-07-02 13:09:08,752 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 6:58:23, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 0.6542, loss: 0.6542 +2025-07-02 13:09:23,893 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:58:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 0.6428, loss: 0.6428 +2025-07-02 13:09:39,084 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:57:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9838, loss_cls: 0.6217, loss: 0.6217 +2025-07-02 13:09:54,175 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:57:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 0.6694, loss: 0.6694 +2025-07-02 13:10:09,533 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:56:55, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9881, loss_cls: 0.6632, loss: 0.6632 +2025-07-02 13:10:24,850 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:56:34, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 0.6500, loss: 0.6500 +2025-07-02 13:10:40,059 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:56:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.6886, loss: 0.6886 +2025-07-02 13:10:55,185 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:55:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 0.7084, loss: 0.7084 +2025-07-02 13:11:10,311 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:55:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 0.6274, loss: 0.6274 +2025-07-02 13:11:22,796 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 13:11:45,814 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:11:45,824 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9930 +2025-07-02 13:11:45,825 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8802, top5_acc: 0.9930 +2025-07-02 13:12:21,838 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:56:00, time: 0.360, data_time: 0.210, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 0.6156, loss: 0.6156 +2025-07-02 13:12:36,920 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:55:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 0.5838, loss: 0.5838 +2025-07-02 13:12:51,956 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:55:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9819, loss_cls: 0.6178, loss: 0.6178 +2025-07-02 13:13:07,012 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:54:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 0.6328, loss: 0.6328 +2025-07-02 13:13:22,064 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:54:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 0.6757, loss: 0.6757 +2025-07-02 13:13:37,126 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:54:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 0.6513, loss: 0.6513 +2025-07-02 13:13:52,260 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:53:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9794, loss_cls: 0.6329, loss: 0.6329 +2025-07-02 13:14:07,453 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:53:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 0.6231, loss: 0.6231 +2025-07-02 13:14:22,590 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:53:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9806, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 13:14:37,576 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:52:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 0.6215, loss: 0.6215 +2025-07-02 13:14:52,599 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:52:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 0.6394, loss: 0.6394 +2025-07-02 13:15:04,898 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 13:15:27,460 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:15:27,470 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9904 +2025-07-02 13:15:27,473 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_15.pth was removed +2025-07-02 13:15:27,585 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 13:15:27,586 - pyskl - INFO - Best top1_acc is 0.8942 at 18 epoch. +2025-07-02 13:15:27,587 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8942, top5_acc: 0.9904 +2025-07-02 13:16:03,403 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:52:44, time: 0.358, data_time: 0.206, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5713, loss: 0.5713 +2025-07-02 13:16:18,599 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:52:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9894, loss_cls: 0.5935, loss: 0.5935 +2025-07-02 13:16:33,757 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:52:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.6220, loss: 0.6220 +2025-07-02 13:16:48,896 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:51:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 0.5962, loss: 0.5962 +2025-07-02 13:17:04,089 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:51:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 0.6684, loss: 0.6684 +2025-07-02 13:17:19,225 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:50:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6436, loss: 0.6436 +2025-07-02 13:17:34,350 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:50:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 0.6101, loss: 0.6101 +2025-07-02 13:17:49,408 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:50:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 0.6432, loss: 0.6432 +2025-07-02 13:18:04,471 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:49:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 0.6538, loss: 0.6538 +2025-07-02 13:18:19,525 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:49:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 0.6258, loss: 0.6258 +2025-07-02 13:18:34,594 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:49:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9850, loss_cls: 0.7146, loss: 0.7146 +2025-07-02 13:18:46,832 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 13:19:09,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:19:09,763 - pyskl - INFO - +top1_acc 0.8665 +top5_acc 0.9919 +2025-07-02 13:19:09,763 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8665, top5_acc: 0.9919 +2025-07-02 13:19:46,234 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:49:35, time: 0.365, data_time: 0.213, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6006, loss: 0.6006 +2025-07-02 13:20:01,334 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:49:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 0.6168, loss: 0.6168 +2025-07-02 13:20:16,422 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:48:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5487, loss: 0.5487 +2025-07-02 13:20:31,501 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:48:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 0.6656, loss: 0.6656 +2025-07-02 13:20:46,813 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:48:10, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9819, loss_cls: 0.6531, loss: 0.6531 +2025-07-02 13:21:02,142 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:47:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.6432, loss: 0.6432 +2025-07-02 13:21:17,163 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:47:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.6213, loss: 0.6213 +2025-07-02 13:21:32,373 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:47:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 0.6165, loss: 0.6165 +2025-07-02 13:21:47,438 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:46:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 0.6264, loss: 0.6264 +2025-07-02 13:22:02,336 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:46:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.6284, loss: 0.6284 +2025-07-02 13:22:17,264 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:46:02, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.5976, loss: 0.5976 +2025-07-02 13:22:29,447 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 13:22:51,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:22:51,932 - pyskl - INFO - +top1_acc 0.8953 +top5_acc 0.9878 +2025-07-02 13:22:51,936 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_18.pth was removed +2025-07-02 13:22:52,048 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-02 13:22:52,049 - pyskl - INFO - Best top1_acc is 0.8953 at 20 epoch. +2025-07-02 13:22:52,050 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8953, top5_acc: 0.9878 +2025-07-02 13:23:28,459 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:46:26, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5777, loss: 0.5777 +2025-07-02 13:23:43,715 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:46:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 0.5293, loss: 0.5293 +2025-07-02 13:23:58,924 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:45:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 0.5727, loss: 0.5727 +2025-07-02 13:24:14,131 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:45:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 0.6116, loss: 0.6116 +2025-07-02 13:24:29,380 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:45:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6437, loss: 0.6437 +2025-07-02 13:24:44,496 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:44:43, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 0.6249, loss: 0.6249 +2025-07-02 13:24:59,670 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:44:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.6035, loss: 0.6035 +2025-07-02 13:25:14,864 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:44:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 0.6108, loss: 0.6108 +2025-07-02 13:25:29,978 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:43:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5593, loss: 0.5593 +2025-07-02 13:25:45,050 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:43:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5802, loss: 0.5802 +2025-07-02 13:26:00,102 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:42:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 0.6415, loss: 0.6415 +2025-07-02 13:26:12,399 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 13:26:34,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:26:34,926 - pyskl - INFO - +top1_acc 0.8935 +top5_acc 0.9926 +2025-07-02 13:26:34,926 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8935, top5_acc: 0.9926 +2025-07-02 13:27:11,283 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:43:20, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 0.5904, loss: 0.5904 +2025-07-02 13:27:26,323 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:42:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9900, loss_cls: 0.5770, loss: 0.5770 +2025-07-02 13:27:41,323 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:42:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5529, loss: 0.5529 +2025-07-02 13:27:56,383 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:42:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6264, loss: 0.6264 +2025-07-02 13:28:11,502 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:41:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9788, loss_cls: 0.6635, loss: 0.6635 +2025-07-02 13:28:26,602 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:41:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.5876, loss: 0.5876 +2025-07-02 13:28:41,808 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:41:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9056, top5_acc: 0.9862, loss_cls: 0.5532, loss: 0.5532 +2025-07-02 13:28:57,018 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:40:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6085, loss: 0.6085 +2025-07-02 13:29:12,108 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:40:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9800, loss_cls: 0.6433, loss: 0.6433 +2025-07-02 13:29:27,107 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:40:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 0.5723, loss: 0.5723 +2025-07-02 13:29:42,503 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:39:53, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.6011, loss: 0.6011 +2025-07-02 13:29:54,774 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 13:30:17,603 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:30:17,613 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9863 +2025-07-02 13:30:17,613 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8876, top5_acc: 0.9863 +2025-07-02 13:30:53,953 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:40:11, time: 0.363, data_time: 0.213, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.5929, loss: 0.5929 +2025-07-02 13:31:08,965 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:39:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.5409, loss: 0.5409 +2025-07-02 13:31:24,026 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:39:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5811, loss: 0.5811 +2025-07-02 13:31:39,131 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:39:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 13:31:54,266 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:38:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 0.6378, loss: 0.6378 +2025-07-02 13:32:09,555 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:38:28, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 0.5892, loss: 0.5892 +2025-07-02 13:32:24,779 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:38:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 0.6262, loss: 0.6262 +2025-07-02 13:32:39,923 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:37:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9031, top5_acc: 0.9844, loss_cls: 0.5343, loss: 0.5343 +2025-07-02 13:32:54,931 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:37:27, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 0.5763, loss: 0.5763 +2025-07-02 13:33:09,733 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:37:05, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 13:33:24,661 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:36:44, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6013, loss: 0.6013 +2025-07-02 13:33:36,897 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 13:33:59,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:33:59,389 - pyskl - INFO - +top1_acc 0.8480 +top5_acc 0.9882 +2025-07-02 13:33:59,390 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8480, top5_acc: 0.9882 +2025-07-02 13:34:35,844 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:37:00, time: 0.365, data_time: 0.213, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5483, loss: 0.5483 +2025-07-02 13:34:50,951 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:36:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5215, loss: 0.5215 +2025-07-02 13:35:06,032 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:36:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 13:35:21,024 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:35:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5901, loss: 0.5901 +2025-07-02 13:35:36,328 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:35:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9819, loss_cls: 0.5709, loss: 0.5709 +2025-07-02 13:35:51,297 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:35:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5709, loss: 0.5709 +2025-07-02 13:36:06,465 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:34:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9875, loss_cls: 0.6137, loss: 0.6137 +2025-07-02 13:36:21,455 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:34:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5560, loss: 0.5560 +2025-07-02 13:36:36,461 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:34:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 0.5955, loss: 0.5955 +2025-07-02 13:36:51,534 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:33:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 13:37:06,523 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:33:35, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 0.6056, loss: 0.6056 +2025-07-02 13:37:18,766 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 13:37:41,315 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:37:41,326 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9941 +2025-07-02 13:37:41,329 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_20.pth was removed +2025-07-02 13:37:41,453 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 13:37:41,453 - pyskl - INFO - Best top1_acc is 0.8983 at 24 epoch. +2025-07-02 13:37:41,454 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8983, top5_acc: 0.9941 +2025-07-02 13:38:17,841 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:33:49, time: 0.364, data_time: 0.212, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5099, loss: 0.5099 +2025-07-02 13:38:32,843 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:33:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9850, loss_cls: 0.5199, loss: 0.5199 +2025-07-02 13:38:48,008 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:33:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6101, loss: 0.6101 +2025-07-02 13:39:03,008 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:32:48, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5487, loss: 0.5487 +2025-07-02 13:39:18,131 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:32:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5246, loss: 0.5246 +2025-07-02 13:39:33,230 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:32:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 0.6258, loss: 0.6258 +2025-07-02 13:39:48,375 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:31:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5354, loss: 0.5354 +2025-07-02 13:40:03,517 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:31:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 13:40:18,894 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:31:09, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.5876, loss: 0.5876 +2025-07-02 13:40:33,957 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:30:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.5621, loss: 0.5621 +2025-07-02 13:40:49,003 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:30:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9819, loss_cls: 0.5915, loss: 0.5915 +2025-07-02 13:41:01,377 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 13:41:24,079 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:41:24,092 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9963 +2025-07-02 13:41:24,096 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_24.pth was removed +2025-07-02 13:41:24,212 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-02 13:41:24,213 - pyskl - INFO - Best top1_acc is 0.9072 at 25 epoch. +2025-07-02 13:41:24,214 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.9072, top5_acc: 0.9963 +2025-07-02 13:42:01,036 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:30:43, time: 0.368, data_time: 0.216, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 13:42:16,466 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:30:25, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5351, loss: 0.5351 +2025-07-02 13:42:31,738 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:30:05, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 0.5660, loss: 0.5660 +2025-07-02 13:42:46,949 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:29:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 0.5761, loss: 0.5761 +2025-07-02 13:43:02,312 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:29:27, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.5705, loss: 0.5705 +2025-07-02 13:43:17,491 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:29:08, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5313, loss: 0.5313 +2025-07-02 13:43:32,758 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:28:49, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.5677, loss: 0.5677 +2025-07-02 13:43:48,084 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:28:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 0.6345, loss: 0.6345 +2025-07-02 13:44:03,174 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:28:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.5630, loss: 0.5630 +2025-07-02 13:44:18,052 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:27:49, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.5844, loss: 0.5844 +2025-07-02 13:44:32,951 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:27:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5772, loss: 0.5772 +2025-07-02 13:44:45,102 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 13:45:08,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:45:08,054 - pyskl - INFO - +top1_acc 0.8872 +top5_acc 0.9941 +2025-07-02 13:45:08,055 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8872, top5_acc: 0.9941 +2025-07-02 13:45:45,054 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:27:41, time: 0.370, data_time: 0.219, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.5237, loss: 0.5237 +2025-07-02 13:46:00,192 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:27:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.4966, loss: 0.4966 +2025-07-02 13:46:15,419 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:27:02, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9838, loss_cls: 0.5775, loss: 0.5775 +2025-07-02 13:46:30,423 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:26:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5340, loss: 0.5340 +2025-07-02 13:46:45,494 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:26:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5678, loss: 0.5678 +2025-07-02 13:47:00,683 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:26:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5488, loss: 0.5488 +2025-07-02 13:47:15,878 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:25:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5503, loss: 0.5503 +2025-07-02 13:47:31,073 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:25:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5526, loss: 0.5526 +2025-07-02 13:47:46,140 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:25:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5544, loss: 0.5544 +2025-07-02 13:48:01,195 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:24:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9850, loss_cls: 0.5684, loss: 0.5684 +2025-07-02 13:48:16,228 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:24:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.5698, loss: 0.5698 +2025-07-02 13:48:28,539 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 13:48:51,260 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:48:51,270 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9911 +2025-07-02 13:48:51,270 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.9031, top5_acc: 0.9911 +2025-07-02 13:49:27,773 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:24:33, time: 0.365, data_time: 0.215, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 0.5433, loss: 0.5433 +2025-07-02 13:49:42,809 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:24:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.4748, loss: 0.4748 +2025-07-02 13:49:57,887 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:23:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 13:50:12,901 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:23:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 0.5362, loss: 0.5362 +2025-07-02 13:50:27,839 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:23:13, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 0.6252, loss: 0.6252 +2025-07-02 13:50:42,896 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:22:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5350, loss: 0.5350 +2025-07-02 13:50:57,973 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:22:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 13:51:12,895 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:22:13, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5709, loss: 0.5709 +2025-07-02 13:51:27,771 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:21:53, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5896, loss: 0.5896 +2025-07-02 13:51:42,732 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:21:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9819, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 13:51:57,715 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:21:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9850, loss_cls: 0.5423, loss: 0.5423 +2025-07-02 13:52:09,987 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 13:52:32,614 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:52:32,625 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9911 +2025-07-02 13:52:32,625 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8905, top5_acc: 0.9911 +2025-07-02 13:53:09,243 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:21:20, time: 0.366, data_time: 0.216, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9838, loss_cls: 0.5306, loss: 0.5306 +2025-07-02 13:53:24,214 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:21:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4705, loss: 0.4705 +2025-07-02 13:53:39,164 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:20:40, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5370, loss: 0.5370 +2025-07-02 13:53:54,270 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:20:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9931, loss_cls: 0.5259, loss: 0.5259 +2025-07-02 13:54:09,362 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:20:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9819, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 13:54:24,638 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:19:43, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 0.5636, loss: 0.5636 +2025-07-02 13:54:39,702 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:19:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9838, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 13:54:54,975 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:19:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 0.6523, loss: 0.6523 +2025-07-02 13:55:10,103 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:18:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 0.4933, loss: 0.4933 +2025-07-02 13:55:25,073 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:18:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.5302, loss: 0.5302 +2025-07-02 13:55:40,026 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:18:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.5351, loss: 0.5351 +2025-07-02 13:55:52,264 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 13:56:15,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:56:15,030 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9937 +2025-07-02 13:56:15,030 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8979, top5_acc: 0.9937 +2025-07-02 13:56:52,287 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:18:14, time: 0.373, data_time: 0.215, memory: 3565, top1_acc: 0.9062, top5_acc: 0.9969, loss_cls: 0.4543, loss: 0.4543 +2025-07-02 13:57:08,066 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:17:58, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 13:57:23,839 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:17:41, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 0.5845, loss: 0.5845 +2025-07-02 13:57:39,396 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:17:24, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4445, loss: 0.4445 +2025-07-02 13:57:54,969 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:17:06, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4642, loss: 0.4642 +2025-07-02 13:58:10,602 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:16:49, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 13:58:26,407 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:16:33, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 0.5659, loss: 0.5659 +2025-07-02 13:58:42,018 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:16:15, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 0.6095, loss: 0.6095 +2025-07-02 13:58:57,674 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:15:58, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5368, loss: 0.5368 +2025-07-02 13:59:13,367 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:15:41, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.4937, loss: 0.4937 +2025-07-02 13:59:29,077 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:15:25, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 0.5330, loss: 0.5330 +2025-07-02 13:59:41,926 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 14:00:04,614 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:00:04,624 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9915 +2025-07-02 14:00:04,625 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8876, top5_acc: 0.9915 +2025-07-02 14:00:42,381 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:15:34, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 14:00:58,188 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:15:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9825, loss_cls: 0.5710, loss: 0.5710 +2025-07-02 14:01:13,861 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:15:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.6008, loss: 0.6008 +2025-07-02 14:01:29,459 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:14:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5833, loss: 0.5833 +2025-07-02 14:01:45,062 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:14:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5349, loss: 0.5349 +2025-07-02 14:02:00,699 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:14:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9775, loss_cls: 0.6269, loss: 0.6269 +2025-07-02 14:02:16,294 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:13:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5551, loss: 0.5551 +2025-07-02 14:02:31,917 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:13:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.6178, loss: 0.6178 +2025-07-02 14:02:47,408 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:13:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 14:03:02,952 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:12:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5519, loss: 0.5519 +2025-07-02 14:03:18,423 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:12:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5776, loss: 0.5776 +2025-07-02 14:03:31,096 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 14:03:53,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:03:53,755 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9945 +2025-07-02 14:03:53,759 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_25.pth was removed +2025-07-02 14:03:53,882 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. +2025-07-02 14:03:53,882 - pyskl - INFO - Best top1_acc is 0.9157 at 31 epoch. +2025-07-02 14:03:53,883 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.9157, top5_acc: 0.9945 +2025-07-02 14:04:31,644 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:12:48, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.5162, loss: 0.5162 +2025-07-02 14:04:47,398 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:12:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5903, loss: 0.5903 +2025-07-02 14:05:03,152 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:12:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9838, loss_cls: 0.5548, loss: 0.5548 +2025-07-02 14:05:18,732 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:11:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9831, loss_cls: 0.5548, loss: 0.5548 +2025-07-02 14:05:34,265 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:11:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4965, loss: 0.4965 +2025-07-02 14:05:49,772 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:11:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5874, loss: 0.5874 +2025-07-02 14:06:05,311 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:11:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5827, loss: 0.5827 +2025-07-02 14:06:20,765 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:10:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5654, loss: 0.5654 +2025-07-02 14:06:36,208 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:10:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5790, loss: 0.5790 +2025-07-02 14:06:51,760 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:10:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9869, loss_cls: 0.5125, loss: 0.5125 +2025-07-02 14:07:07,307 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:09:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5377, loss: 0.5377 +2025-07-02 14:07:20,030 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 14:07:43,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:07:43,024 - pyskl - INFO - +top1_acc 0.8887 +top5_acc 0.9959 +2025-07-02 14:07:43,025 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.8887, top5_acc: 0.9959 +2025-07-02 14:08:20,486 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:09:59, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.5853, loss: 0.5853 +2025-07-02 14:08:36,066 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:09:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 14:08:51,674 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:09:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 14:09:07,250 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:09:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9862, loss_cls: 0.5007, loss: 0.5007 +2025-07-02 14:09:22,821 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:08:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 14:09:38,255 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:08:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 0.5829, loss: 0.5829 +2025-07-02 14:09:53,676 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:08:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 0.5649, loss: 0.5649 +2025-07-02 14:10:09,084 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:07:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 14:10:24,561 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:07:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4951, loss: 0.4951 +2025-07-02 14:10:40,009 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:07:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5155, loss: 0.5155 +2025-07-02 14:10:55,436 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:07:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5372, loss: 0.5372 +2025-07-02 14:11:08,067 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 14:11:31,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:11:31,106 - pyskl - INFO - +top1_acc 0.9079 +top5_acc 0.9967 +2025-07-02 14:11:31,107 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.9079, top5_acc: 0.9967 +2025-07-02 14:12:08,520 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:07:05, time: 0.374, data_time: 0.217, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5104, loss: 0.5104 +2025-07-02 14:12:24,016 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:06:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5050, loss: 0.5050 +2025-07-02 14:12:39,897 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:06:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5556, loss: 0.5556 +2025-07-02 14:12:55,595 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:06:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5985, loss: 0.5985 +2025-07-02 14:13:11,179 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:05:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.5233, loss: 0.5233 +2025-07-02 14:13:26,854 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:05:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 0.5732, loss: 0.5732 +2025-07-02 14:13:42,400 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:05:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.5410, loss: 0.5410 +2025-07-02 14:13:58,033 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:05:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5752, loss: 0.5752 +2025-07-02 14:14:13,577 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:04:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9838, loss_cls: 0.5332, loss: 0.5332 +2025-07-02 14:14:29,063 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:04:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5566, loss: 0.5566 +2025-07-02 14:14:44,556 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:04:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9875, loss_cls: 0.5176, loss: 0.5176 +2025-07-02 14:14:57,337 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 14:15:20,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:15:20,446 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9933 +2025-07-02 14:15:20,447 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8891, top5_acc: 0.9933 +2025-07-02 14:15:58,110 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:04:14, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5696, loss: 0.5696 +2025-07-02 14:16:13,878 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:03:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5219, loss: 0.5219 +2025-07-02 14:16:29,503 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:03:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9856, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 14:16:45,079 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:03:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5228, loss: 0.5228 +2025-07-02 14:17:00,783 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:03:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9844, loss_cls: 0.5122, loss: 0.5122 +2025-07-02 14:17:16,567 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:02:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9956, loss_cls: 0.5100, loss: 0.5100 +2025-07-02 14:17:32,352 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:02:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5397, loss: 0.5397 +2025-07-02 14:17:48,111 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:02:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9838, loss_cls: 0.5627, loss: 0.5627 +2025-07-02 14:18:03,693 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:01:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5564, loss: 0.5564 +2025-07-02 14:18:19,292 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:01:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5230, loss: 0.5230 +2025-07-02 14:18:34,927 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:01:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5730, loss: 0.5730 +2025-07-02 14:18:47,683 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 14:19:11,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:19:11,099 - pyskl - INFO - +top1_acc 0.9079 +top5_acc 0.9945 +2025-07-02 14:19:11,100 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.9079, top5_acc: 0.9945 +2025-07-02 14:19:48,702 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:01:25, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4605, loss: 0.4605 +2025-07-02 14:20:04,746 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:01:09, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.5118, loss: 0.5118 +2025-07-02 14:20:20,624 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:00:53, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4822, loss: 0.4822 +2025-07-02 14:20:36,255 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:00:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.5177, loss: 0.5177 +2025-07-02 14:20:51,769 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 6:00:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5677, loss: 0.5677 +2025-07-02 14:21:07,455 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 6:00:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 0.5844, loss: 0.5844 +2025-07-02 14:21:23,045 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:59:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5386, loss: 0.5386 +2025-07-02 14:21:38,639 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:59:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5485, loss: 0.5485 +2025-07-02 14:21:54,175 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:59:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.5241, loss: 0.5241 +2025-07-02 14:22:09,774 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:58:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.5022, loss: 0.5022 +2025-07-02 14:22:25,335 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:58:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9838, loss_cls: 0.5463, loss: 0.5463 +2025-07-02 14:22:38,053 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 14:23:01,005 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:23:01,016 - pyskl - INFO - +top1_acc 0.9009 +top5_acc 0.9893 +2025-07-02 14:23:01,016 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.9009, top5_acc: 0.9893 +2025-07-02 14:23:38,845 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:58:35, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5520, loss: 0.5520 +2025-07-02 14:23:54,606 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:58:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4967, loss: 0.4967 +2025-07-02 14:24:10,342 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:58:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.4849, loss: 0.4849 +2025-07-02 14:24:25,875 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:57:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5303, loss: 0.5303 +2025-07-02 14:24:41,791 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:57:27, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 0.5470, loss: 0.5470 +2025-07-02 14:24:57,583 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:57:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.5063, loss: 0.5063 +2025-07-02 14:25:13,287 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:56:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.4995, loss: 0.4995 +2025-07-02 14:25:28,871 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:56:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5753, loss: 0.5753 +2025-07-02 14:25:44,381 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:56:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4446, loss: 0.4446 +2025-07-02 14:25:59,887 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:56:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 0.5935, loss: 0.5935 +2025-07-02 14:26:15,368 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:55:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 0.5607, loss: 0.5607 +2025-07-02 14:26:28,037 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 14:26:50,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:26:50,255 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9937 +2025-07-02 14:26:50,256 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.9153, top5_acc: 0.9937 +2025-07-02 14:27:28,195 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:55:43, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4760, loss: 0.4760 +2025-07-02 14:27:44,062 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:55:26, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4454, loss: 0.4454 +2025-07-02 14:27:59,857 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:55:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5330, loss: 0.5330 +2025-07-02 14:28:15,533 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:54:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5108, loss: 0.5108 +2025-07-02 14:28:31,278 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:54:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5616, loss: 0.5616 +2025-07-02 14:28:46,971 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:54:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.5110, loss: 0.5110 +2025-07-02 14:29:02,836 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:54:02, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 0.4631, loss: 0.4631 +2025-07-02 14:29:18,575 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:53:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5048, loss: 0.5048 +2025-07-02 14:29:34,204 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:53:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5173, loss: 0.5173 +2025-07-02 14:29:49,788 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:53:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9844, loss_cls: 0.5651, loss: 0.5651 +2025-07-02 14:30:05,447 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:52:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5661, loss: 0.5661 +2025-07-02 14:30:18,187 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 14:30:40,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:30:40,657 - pyskl - INFO - +top1_acc 0.8661 +top5_acc 0.9878 +2025-07-02 14:30:40,658 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8661, top5_acc: 0.9878 +2025-07-02 14:31:18,341 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:52:51, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9881, loss_cls: 0.4830, loss: 0.4830 +2025-07-02 14:31:33,910 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:52:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 0.4884, loss: 0.4884 +2025-07-02 14:31:49,516 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:52:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 14:32:05,072 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:51:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9919, loss_cls: 0.5394, loss: 0.5394 +2025-07-02 14:32:20,772 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:51:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5859, loss: 0.5859 +2025-07-02 14:32:36,316 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:51:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.4933, loss: 0.4933 +2025-07-02 14:32:51,950 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:51:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4749, loss: 0.4749 +2025-07-02 14:33:07,491 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:50:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.5035, loss: 0.5035 +2025-07-02 14:33:23,102 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:50:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5781, loss: 0.5781 +2025-07-02 14:33:38,671 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:50:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.5714, loss: 0.5714 +2025-07-02 14:33:54,242 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:49:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5487, loss: 0.5487 +2025-07-02 14:34:07,165 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 14:34:29,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:34:29,671 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9926 +2025-07-02 14:34:29,671 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.9064, top5_acc: 0.9926 +2025-07-02 14:35:07,125 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:49:54, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4792, loss: 0.4792 +2025-07-02 14:35:22,734 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:49:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4731, loss: 0.4731 +2025-07-02 14:35:38,316 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:49:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.4953, loss: 0.4953 +2025-07-02 14:35:53,838 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:49:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.4920, loss: 0.4920 +2025-07-02 14:36:09,498 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:48:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4724, loss: 0.4724 +2025-07-02 14:36:25,089 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:48:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5257, loss: 0.5257 +2025-07-02 14:36:40,691 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:48:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4475, loss: 0.4475 +2025-07-02 14:36:56,323 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:47:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.5077, loss: 0.5077 +2025-07-02 14:37:11,943 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:47:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5080, loss: 0.5080 +2025-07-02 14:37:27,559 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:47:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4879, loss: 0.4879 +2025-07-02 14:37:43,125 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:47:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.5037, loss: 0.5037 +2025-07-02 14:37:55,869 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 14:38:18,266 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:38:18,276 - pyskl - INFO - +top1_acc 0.8946 +top5_acc 0.9926 +2025-07-02 14:38:18,276 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8946, top5_acc: 0.9926 +2025-07-02 14:38:55,753 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:46:56, time: 0.375, data_time: 0.213, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4332, loss: 0.4332 +2025-07-02 14:39:11,483 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:46:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4917, loss: 0.4917 +2025-07-02 14:39:27,201 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:46:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4655, loss: 0.4655 +2025-07-02 14:39:42,834 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:46:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 0.4932, loss: 0.4932 +2025-07-02 14:39:58,727 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:45:48, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5120, loss: 0.5120 +2025-07-02 14:40:14,592 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:45:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.5555, loss: 0.5555 +2025-07-02 14:40:30,440 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:45:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.4974, loss: 0.4974 +2025-07-02 14:40:46,032 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:44:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5161, loss: 0.5161 +2025-07-02 14:41:01,570 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:44:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 0.4444, loss: 0.4444 +2025-07-02 14:41:17,138 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:44:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5122, loss: 0.5122 +2025-07-02 14:41:32,710 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:44:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9862, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 14:41:45,331 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 14:42:08,103 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:42:08,113 - pyskl - INFO - +top1_acc 0.8998 +top5_acc 0.9956 +2025-07-02 14:42:08,113 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.8998, top5_acc: 0.9956 +2025-07-02 14:42:45,732 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:44:00, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4580, loss: 0.4580 +2025-07-02 14:43:01,392 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:43:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4677, loss: 0.4677 +2025-07-02 14:43:17,113 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:43:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.6112, loss: 0.6112 +2025-07-02 14:43:32,739 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:43:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.4717, loss: 0.4717 +2025-07-02 14:43:48,671 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:42:52, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4680, loss: 0.4680 +2025-07-02 14:44:04,573 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:42:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4534, loss: 0.4534 +2025-07-02 14:44:20,243 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:42:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4609, loss: 0.4609 +2025-07-02 14:44:35,887 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:42:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4669, loss: 0.4669 +2025-07-02 14:44:51,499 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:41:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.4979, loss: 0.4979 +2025-07-02 14:45:06,965 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:41:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5131, loss: 0.5131 +2025-07-02 14:45:22,487 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:41:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5361, loss: 0.5361 +2025-07-02 14:45:35,194 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 14:45:57,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:45:57,928 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9930 +2025-07-02 14:45:57,929 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.8905, top5_acc: 0.9930 +2025-07-02 14:46:35,781 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:41:04, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3969, loss: 0.3969 +2025-07-02 14:46:51,814 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:40:48, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4780, loss: 0.4780 +2025-07-02 14:47:07,676 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:40:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5172, loss: 0.5172 +2025-07-02 14:47:23,437 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:40:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.4810, loss: 0.4810 +2025-07-02 14:47:39,147 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:39:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 0.4861, loss: 0.4861 +2025-07-02 14:47:54,994 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:39:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5174, loss: 0.5174 +2025-07-02 14:48:10,808 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:39:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5377, loss: 0.5377 +2025-07-02 14:48:26,473 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:39:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4810, loss: 0.4810 +2025-07-02 14:48:42,008 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:38:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5144, loss: 0.5144 +2025-07-02 14:48:57,499 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:38:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4768, loss: 0.4768 +2025-07-02 14:49:13,062 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:38:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.4836, loss: 0.4836 +2025-07-02 14:49:25,730 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 14:49:48,614 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:49:48,624 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9948 +2025-07-02 14:49:48,625 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8976, top5_acc: 0.9948 +2025-07-02 14:50:26,268 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:38:07, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4445, loss: 0.4445 +2025-07-02 14:50:41,920 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:37:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9888, loss_cls: 0.4860, loss: 0.4860 +2025-07-02 14:50:57,629 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:37:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 14:51:13,336 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:37:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.4773, loss: 0.4773 +2025-07-02 14:51:28,853 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:36:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.4949, loss: 0.4949 +2025-07-02 14:51:44,386 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:36:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.4528, loss: 0.4528 +2025-07-02 14:52:00,002 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:36:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4620, loss: 0.4620 +2025-07-02 14:52:15,661 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:36:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 14:52:31,282 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:35:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5277, loss: 0.5277 +2025-07-02 14:52:46,893 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:35:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 0.5673, loss: 0.5673 +2025-07-02 14:53:02,437 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:35:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.4741, loss: 0.4741 +2025-07-02 14:53:15,125 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 14:53:38,487 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:53:38,497 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9933 +2025-07-02 14:53:38,498 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9083, top5_acc: 0.9933 +2025-07-02 14:54:16,456 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:35:08, time: 0.380, data_time: 0.218, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.5109, loss: 0.5109 +2025-07-02 14:54:31,978 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:34:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4048, loss: 0.4048 +2025-07-02 14:54:47,392 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:34:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9925, loss_cls: 0.4946, loss: 0.4946 +2025-07-02 14:55:02,910 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:34:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4894, loss: 0.4894 +2025-07-02 14:55:18,598 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:33:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 0.5064, loss: 0.5064 +2025-07-02 14:55:34,279 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:33:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4327, loss: 0.4327 +2025-07-02 14:55:49,876 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:33:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9894, loss_cls: 0.4422, loss: 0.4422 +2025-07-02 14:56:05,450 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:33:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 14:56:20,948 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:32:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9950, loss_cls: 0.5111, loss: 0.5111 +2025-07-02 14:56:36,467 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:32:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9825, loss_cls: 0.5311, loss: 0.5311 +2025-07-02 14:56:52,063 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:32:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5361, loss: 0.5361 +2025-07-02 14:57:04,784 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 14:57:28,585 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:57:28,596 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9952 +2025-07-02 14:57:28,596 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.9075, top5_acc: 0.9952 +2025-07-02 14:58:06,225 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:32:06, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4639, loss: 0.4639 +2025-07-02 14:58:21,875 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:31:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4757, loss: 0.4757 +2025-07-02 14:58:37,486 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:31:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4768, loss: 0.4768 +2025-07-02 14:58:53,344 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:31:15, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5327, loss: 0.5327 +2025-07-02 14:59:09,030 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:30:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9844, loss_cls: 0.5458, loss: 0.5458 +2025-07-02 14:59:24,714 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:30:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5060, loss: 0.5060 +2025-07-02 14:59:40,332 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:30:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4837, loss: 0.4837 +2025-07-02 14:59:55,937 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:30:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4447, loss: 0.4447 +2025-07-02 15:00:11,513 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:29:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4474, loss: 0.4474 +2025-07-02 15:00:27,050 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:29:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 0.4300, loss: 0.4300 +2025-07-02 15:00:42,574 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:29:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 15:00:55,334 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 15:01:18,879 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:01:18,889 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9948 +2025-07-02 15:01:18,890 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9090, top5_acc: 0.9948 +2025-07-02 15:01:57,478 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:29:07, time: 0.386, data_time: 0.225, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 0.4362, loss: 0.4362 +2025-07-02 15:02:13,203 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:28:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4604, loss: 0.4604 +2025-07-02 15:02:28,731 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:28:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.5010, loss: 0.5010 +2025-07-02 15:02:44,342 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:28:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5289, loss: 0.5289 +2025-07-02 15:03:00,011 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:27:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 15:03:15,603 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:27:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 15:03:31,212 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:27:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4454, loss: 0.4454 +2025-07-02 15:03:46,900 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:27:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4920, loss: 0.4920 +2025-07-02 15:04:02,584 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:26:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4218, loss: 0.4218 +2025-07-02 15:04:18,258 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:26:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5295, loss: 0.5295 +2025-07-02 15:04:33,849 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:26:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9944, loss_cls: 0.4719, loss: 0.4719 +2025-07-02 15:04:46,609 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 15:05:10,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:05:10,060 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9915 +2025-07-02 15:05:10,061 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.9013, top5_acc: 0.9915 +2025-07-02 15:05:48,017 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:26:07, time: 0.380, data_time: 0.219, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9869, loss_cls: 0.5157, loss: 0.5157 +2025-07-02 15:06:03,619 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:25:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9881, loss_cls: 0.4663, loss: 0.4663 +2025-07-02 15:06:19,285 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:25:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5229, loss: 0.5229 +2025-07-02 15:06:34,894 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:25:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4892, loss: 0.4892 +2025-07-02 15:06:50,534 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:24:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4614, loss: 0.4614 +2025-07-02 15:07:06,246 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:24:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 0.4407, loss: 0.4407 +2025-07-02 15:07:21,879 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:24:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.4583, loss: 0.4583 +2025-07-02 15:07:37,565 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:24:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9862, loss_cls: 0.5134, loss: 0.5134 +2025-07-02 15:07:53,067 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:23:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9888, loss_cls: 0.4507, loss: 0.4507 +2025-07-02 15:08:08,537 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:23:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4869, loss: 0.4869 +2025-07-02 15:08:23,997 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:23:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4201, loss: 0.4201 +2025-07-02 15:08:36,605 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 15:08:59,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:08:59,949 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9941 +2025-07-02 15:08:59,953 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_31.pth was removed +2025-07-02 15:09:00,073 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. +2025-07-02 15:09:00,074 - pyskl - INFO - Best top1_acc is 0.9172 at 48 epoch. +2025-07-02 15:09:00,074 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.9172, top5_acc: 0.9941 +2025-07-02 15:09:37,765 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:23:04, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.4081, loss: 0.4081 +2025-07-02 15:09:53,134 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:22:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4093, loss: 0.4093 +2025-07-02 15:10:08,568 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:22:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4130, loss: 0.4130 +2025-07-02 15:10:23,967 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:22:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 15:10:39,470 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:21:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5027, loss: 0.5027 +2025-07-02 15:10:54,983 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:21:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4859, loss: 0.4859 +2025-07-02 15:11:10,571 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:21:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9875, loss_cls: 0.4703, loss: 0.4703 +2025-07-02 15:11:26,150 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:21:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4901, loss: 0.4901 +2025-07-02 15:11:41,716 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:20:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4421, loss: 0.4421 +2025-07-02 15:11:57,296 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:20:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 15:12:12,886 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:20:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5273, loss: 0.5273 +2025-07-02 15:12:25,580 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 15:12:49,106 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:12:49,116 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9933 +2025-07-02 15:12:49,117 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.9072, top5_acc: 0.9933 +2025-07-02 15:13:27,412 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:20:00, time: 0.383, data_time: 0.222, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4589, loss: 0.4589 +2025-07-02 15:13:43,178 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:19:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 0.3823, loss: 0.3823 +2025-07-02 15:13:58,756 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:19:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4647, loss: 0.4647 +2025-07-02 15:14:14,542 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:19:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.4026, loss: 0.4026 +2025-07-02 15:14:30,264 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:18:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9888, loss_cls: 0.4472, loss: 0.4472 +2025-07-02 15:14:45,880 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:18:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.4881, loss: 0.4881 +2025-07-02 15:15:01,557 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:18:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5260, loss: 0.5260 +2025-07-02 15:15:17,183 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:18:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9869, loss_cls: 0.4512, loss: 0.4512 +2025-07-02 15:15:32,790 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:17:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9875, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 15:15:48,386 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:17:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9925, loss_cls: 0.5304, loss: 0.5304 +2025-07-02 15:16:03,939 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:17:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4707, loss: 0.4707 +2025-07-02 15:16:16,709 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 15:16:40,119 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:16:40,129 - pyskl - INFO - +top1_acc 0.8935 +top5_acc 0.9959 +2025-07-02 15:16:40,129 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8935, top5_acc: 0.9959 +2025-07-02 15:17:17,819 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:16:58, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3750, loss: 0.3750 +2025-07-02 15:17:33,562 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:16:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3830, loss: 0.3830 +2025-07-02 15:17:49,350 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:16:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4748, loss: 0.4748 +2025-07-02 15:18:05,172 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:16:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4628, loss: 0.4628 +2025-07-02 15:18:20,877 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:15:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4388, loss: 0.4388 +2025-07-02 15:18:36,540 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:15:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.4480, loss: 0.4480 +2025-07-02 15:18:52,171 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:15:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4188, loss: 0.4188 +2025-07-02 15:19:07,809 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:14:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4247, loss: 0.4247 +2025-07-02 15:19:23,366 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:14:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3981, loss: 0.3981 +2025-07-02 15:19:38,938 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:14:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4469, loss: 0.4469 +2025-07-02 15:19:54,458 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:14:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4404, loss: 0.4404 +2025-07-02 15:20:07,064 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 15:20:29,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:20:29,623 - pyskl - INFO - +top1_acc 0.8621 +top5_acc 0.9896 +2025-07-02 15:20:29,623 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.8621, top5_acc: 0.9896 +2025-07-02 15:21:06,636 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:13:54, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 0.4937, loss: 0.4937 +2025-07-02 15:21:22,352 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:13:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 15:21:38,202 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:13:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4252, loss: 0.4252 +2025-07-02 15:21:53,777 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:13:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 0.4318, loss: 0.4318 +2025-07-02 15:22:09,426 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:12:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4419, loss: 0.4419 +2025-07-02 15:22:24,947 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:12:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9881, loss_cls: 0.4483, loss: 0.4483 +2025-07-02 15:22:40,550 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:12:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4228, loss: 0.4228 +2025-07-02 15:22:56,161 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:11:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.4997, loss: 0.4997 +2025-07-02 15:23:11,746 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:11:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 15:23:27,309 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:11:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 15:23:42,895 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:11:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.5034, loss: 0.5034 +2025-07-02 15:23:55,656 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 15:24:18,508 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:24:18,518 - pyskl - INFO - +top1_acc 0.8957 +top5_acc 0.9915 +2025-07-02 15:24:18,519 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.8957, top5_acc: 0.9915 +2025-07-02 15:24:55,233 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:10:48, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4310, loss: 0.4310 +2025-07-02 15:25:10,844 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:10:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4321, loss: 0.4321 +2025-07-02 15:25:26,506 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:10:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4760, loss: 0.4760 +2025-07-02 15:25:42,224 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:09:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4283, loss: 0.4283 +2025-07-02 15:25:57,877 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:09:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4446, loss: 0.4446 +2025-07-02 15:26:13,494 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:09:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 0.5260, loss: 0.5260 +2025-07-02 15:26:29,055 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:09:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.4241, loss: 0.4241 +2025-07-02 15:26:44,609 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:08:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9881, loss_cls: 0.4449, loss: 0.4449 +2025-07-02 15:27:00,119 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:08:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9869, loss_cls: 0.4578, loss: 0.4578 +2025-07-02 15:27:15,639 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:08:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3824, loss: 0.3824 +2025-07-02 15:27:31,128 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:07:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 15:27:43,792 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 15:28:06,895 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:28:06,905 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9933 +2025-07-02 15:28:06,905 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9094, top5_acc: 0.9933 +2025-07-02 15:28:43,289 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:07:41, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 15:28:58,825 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:07:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 15:29:14,254 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:07:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3726, loss: 0.3726 +2025-07-02 15:29:29,789 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:06:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 15:29:45,361 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:06:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4482, loss: 0.4482 +2025-07-02 15:30:01,025 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:06:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4132, loss: 0.4132 +2025-07-02 15:30:16,581 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:05:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4433, loss: 0.4433 +2025-07-02 15:30:32,105 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:05:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 0.4808, loss: 0.4808 +2025-07-02 15:30:47,587 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:05:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4350, loss: 0.4350 +2025-07-02 15:31:03,089 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:05:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.4107, loss: 0.4107 +2025-07-02 15:31:18,640 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:04:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.3805, loss: 0.3805 +2025-07-02 15:31:31,317 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 15:31:54,345 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:31:54,355 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9915 +2025-07-02 15:31:54,356 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.9157, top5_acc: 0.9915 +2025-07-02 15:32:30,556 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:04:33, time: 0.362, data_time: 0.203, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4642, loss: 0.4642 +2025-07-02 15:32:46,221 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:04:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 0.4490, loss: 0.4490 +2025-07-02 15:33:01,987 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:03:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4326, loss: 0.4326 +2025-07-02 15:33:17,605 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:03:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4526, loss: 0.4526 +2025-07-02 15:33:33,067 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:03:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4194, loss: 0.4194 +2025-07-02 15:33:48,585 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:03:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4097, loss: 0.4097 +2025-07-02 15:34:04,165 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:02:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4162, loss: 0.4162 +2025-07-02 15:34:19,758 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:02:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.4047, loss: 0.4047 +2025-07-02 15:34:35,315 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:02:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4022, loss: 0.4022 +2025-07-02 15:34:50,744 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:01:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4241, loss: 0.4241 +2025-07-02 15:35:06,208 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:01:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 15:35:18,846 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 15:35:41,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:35:41,849 - pyskl - INFO - +top1_acc 0.9098 +top5_acc 0.9933 +2025-07-02 15:35:41,849 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.9098, top5_acc: 0.9933 +2025-07-02 15:36:18,791 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:01:26, time: 0.369, data_time: 0.208, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4242, loss: 0.4242 +2025-07-02 15:36:34,524 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:01:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3595, loss: 0.3595 +2025-07-02 15:36:50,321 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:00:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.5064, loss: 0.5064 +2025-07-02 15:37:06,153 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 5:00:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4149, loss: 0.4149 +2025-07-02 15:37:21,870 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 5:00:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4266, loss: 0.4266 +2025-07-02 15:37:37,542 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 5:00:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9881, loss_cls: 0.4808, loss: 0.4808 +2025-07-02 15:37:53,167 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:59:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9862, loss_cls: 0.4717, loss: 0.4717 +2025-07-02 15:38:08,784 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:59:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4054, loss: 0.4054 +2025-07-02 15:38:24,365 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:59:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3629, loss: 0.3629 +2025-07-02 15:38:39,959 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:58:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 15:38:55,553 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:58:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3977, loss: 0.3977 +2025-07-02 15:39:08,308 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 15:39:30,960 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:39:30,970 - pyskl - INFO - +top1_acc 0.9260 +top5_acc 0.9948 +2025-07-02 15:39:30,974 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_48.pth was removed +2025-07-02 15:39:31,091 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-02 15:39:31,091 - pyskl - INFO - Best top1_acc is 0.9260 at 56 epoch. +2025-07-02 15:39:31,092 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9260, top5_acc: 0.9948 +2025-07-02 15:40:07,619 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:58:20, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4128, loss: 0.4128 +2025-07-02 15:40:23,106 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:58:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3637, loss: 0.3637 +2025-07-02 15:40:38,766 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:57:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4970, loss: 0.4970 +2025-07-02 15:40:54,317 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:57:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4011, loss: 0.4011 +2025-07-02 15:41:09,859 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:57:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4256, loss: 0.4256 +2025-07-02 15:41:25,417 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:56:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9894, loss_cls: 0.4151, loss: 0.4151 +2025-07-02 15:41:41,019 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:56:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.4477, loss: 0.4477 +2025-07-02 15:41:56,522 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:56:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.4178, loss: 0.4178 +2025-07-02 15:42:12,047 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:56:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9856, loss_cls: 0.4829, loss: 0.4829 +2025-07-02 15:42:27,747 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:55:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4510, loss: 0.4510 +2025-07-02 15:42:43,447 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:55:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9900, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 15:42:56,160 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 15:43:19,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:43:19,086 - pyskl - INFO - +top1_acc 0.9305 +top5_acc 0.9937 +2025-07-02 15:43:19,090 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_56.pth was removed +2025-07-02 15:43:19,202 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. +2025-07-02 15:43:19,203 - pyskl - INFO - Best top1_acc is 0.9305 at 57 epoch. +2025-07-02 15:43:19,204 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.9305, top5_acc: 0.9937 +2025-07-02 15:43:55,978 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:55:12, time: 0.368, data_time: 0.206, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.3975, loss: 0.3975 +2025-07-02 15:44:11,646 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:54:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 15:44:27,472 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:54:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 15:44:43,139 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:54:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3565, loss: 0.3565 +2025-07-02 15:44:58,731 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:54:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9950, loss_cls: 0.4439, loss: 0.4439 +2025-07-02 15:45:14,337 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:53:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4283, loss: 0.4283 +2025-07-02 15:45:30,014 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:53:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4212, loss: 0.4212 +2025-07-02 15:45:45,636 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:53:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4052, loss: 0.4052 +2025-07-02 15:46:01,188 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:52:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4033, loss: 0.4033 +2025-07-02 15:46:16,780 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:52:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4154, loss: 0.4154 +2025-07-02 15:46:32,339 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:52:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4437, loss: 0.4437 +2025-07-02 15:46:45,063 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 15:47:07,460 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:47:07,471 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9937 +2025-07-02 15:47:07,471 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.9223, top5_acc: 0.9937 +2025-07-02 15:47:44,051 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:52:05, time: 0.366, data_time: 0.205, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4554, loss: 0.4554 +2025-07-02 15:47:59,581 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:51:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.3927, loss: 0.3927 +2025-07-02 15:48:15,111 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:51:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3893, loss: 0.3893 +2025-07-02 15:48:30,620 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:51:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9956, loss_cls: 0.4201, loss: 0.4201 +2025-07-02 15:48:46,192 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:50:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4179, loss: 0.4179 +2025-07-02 15:49:01,859 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:50:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.4001, loss: 0.4001 +2025-07-02 15:49:17,516 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:50:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3821, loss: 0.3821 +2025-07-02 15:49:33,062 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:50:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9975, loss_cls: 0.3640, loss: 0.3640 +2025-07-02 15:49:48,559 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:49:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 0.4585, loss: 0.4585 +2025-07-02 15:50:04,068 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:49:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9875, loss_cls: 0.4497, loss: 0.4497 +2025-07-02 15:50:19,639 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:49:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4130, loss: 0.4130 +2025-07-02 15:50:32,344 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 15:50:55,090 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:50:55,100 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9941 +2025-07-02 15:50:55,101 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9257, top5_acc: 0.9941 +2025-07-02 15:51:31,602 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:48:57, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3770, loss: 0.3770 +2025-07-02 15:51:47,163 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:48:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3739, loss: 0.3739 +2025-07-02 15:52:02,622 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:48:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4069, loss: 0.4069 +2025-07-02 15:52:18,095 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:48:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9900, loss_cls: 0.3932, loss: 0.3932 +2025-07-02 15:52:33,610 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:47:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4661, loss: 0.4661 +2025-07-02 15:52:49,413 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:47:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4178, loss: 0.4178 +2025-07-02 15:53:04,986 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:47:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 15:53:20,608 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:46:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 0.3801, loss: 0.3801 +2025-07-02 15:53:36,133 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:46:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 15:53:51,698 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:46:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4209, loss: 0.4209 +2025-07-02 15:54:07,230 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:46:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4009, loss: 0.4009 +2025-07-02 15:54:19,944 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 15:54:42,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:54:42,611 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9948 +2025-07-02 15:54:42,611 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9127, top5_acc: 0.9948 +2025-07-02 15:55:19,506 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:45:49, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3759, loss: 0.3759 +2025-07-02 15:55:35,021 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:45:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3892, loss: 0.3892 +2025-07-02 15:55:50,673 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:45:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3753, loss: 0.3753 +2025-07-02 15:56:06,221 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:44:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3982, loss: 0.3982 +2025-07-02 15:56:21,774 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:44:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3929, loss: 0.3929 +2025-07-02 15:56:37,314 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:44:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4045, loss: 0.4045 +2025-07-02 15:56:52,831 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:44:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4350, loss: 0.4350 +2025-07-02 15:57:08,406 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:43:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4443, loss: 0.4443 +2025-07-02 15:57:23,963 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:43:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 15:57:39,540 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:43:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4029, loss: 0.4029 +2025-07-02 15:57:55,105 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:42:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3456, loss: 0.3456 +2025-07-02 15:58:07,852 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 15:58:30,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:58:30,463 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9930 +2025-07-02 15:58:30,464 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9209, top5_acc: 0.9930 +2025-07-02 15:59:07,229 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:42:40, time: 0.368, data_time: 0.207, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9894, loss_cls: 0.4262, loss: 0.4262 +2025-07-02 15:59:22,853 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:42:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3157, loss: 0.3157 +2025-07-02 15:59:38,598 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:42:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3955, loss: 0.3955 +2025-07-02 15:59:54,288 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:41:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3321, loss: 0.3321 +2025-07-02 16:00:09,973 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:41:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.4023, loss: 0.4023 +2025-07-02 16:00:25,526 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:41:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3968, loss: 0.3968 +2025-07-02 16:00:41,022 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:40:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.3353, loss: 0.3353 +2025-07-02 16:00:56,526 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:40:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3950, loss: 0.3950 +2025-07-02 16:01:12,030 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:40:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3863, loss: 0.3863 +2025-07-02 16:01:27,509 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:40:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4429, loss: 0.4429 +2025-07-02 16:01:43,048 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:39:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9888, loss_cls: 0.4361, loss: 0.4361 +2025-07-02 16:01:55,656 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 16:02:18,595 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:02:18,605 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9963 +2025-07-02 16:02:18,609 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_57.pth was removed +2025-07-02 16:02:18,729 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_62.pth. +2025-07-02 16:02:18,730 - pyskl - INFO - Best top1_acc is 0.9327 at 62 epoch. +2025-07-02 16:02:18,731 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9327, top5_acc: 0.9963 +2025-07-02 16:02:55,650 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:39:33, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3950, loss: 0.3950 +2025-07-02 16:03:11,234 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:39:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.3943, loss: 0.3943 +2025-07-02 16:03:26,941 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:38:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3738, loss: 0.3738 +2025-07-02 16:03:42,535 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:38:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.3792, loss: 0.3792 +2025-07-02 16:03:58,121 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:38:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 16:04:13,638 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:38:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4214, loss: 0.4214 +2025-07-02 16:04:29,316 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:37:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4620, loss: 0.4620 +2025-07-02 16:04:44,969 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:37:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.3972, loss: 0.3972 +2025-07-02 16:05:00,506 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:37:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3842, loss: 0.3842 +2025-07-02 16:05:16,137 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:36:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9900, loss_cls: 0.4058, loss: 0.4058 +2025-07-02 16:05:31,734 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:36:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 16:05:44,457 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 16:06:07,097 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:06:07,107 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9952 +2025-07-02 16:06:07,107 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.9146, top5_acc: 0.9952 +2025-07-02 16:06:44,157 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:36:25, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.3242, loss: 0.3242 +2025-07-02 16:06:59,697 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:36:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3529, loss: 0.3529 +2025-07-02 16:07:15,233 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:35:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.3455, loss: 0.3455 +2025-07-02 16:07:30,847 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:35:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 16:07:46,490 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:35:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9894, loss_cls: 0.4428, loss: 0.4428 +2025-07-02 16:08:02,075 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:35:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.3895, loss: 0.3895 +2025-07-02 16:08:17,696 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:34:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3222, loss: 0.3222 +2025-07-02 16:08:33,239 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:34:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 16:08:48,750 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:34:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3820, loss: 0.3820 +2025-07-02 16:09:04,249 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:33:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.3779, loss: 0.3779 +2025-07-02 16:09:19,771 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:33:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 16:09:32,444 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 16:09:55,219 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:09:55,229 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9933 +2025-07-02 16:09:55,229 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9127, top5_acc: 0.9933 +2025-07-02 16:10:31,717 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:33:16, time: 0.365, data_time: 0.205, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9906, loss_cls: 0.4112, loss: 0.4112 +2025-07-02 16:10:47,336 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:32:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3707, loss: 0.3707 +2025-07-02 16:11:02,948 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:32:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3531, loss: 0.3531 +2025-07-02 16:11:18,557 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:32:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3730, loss: 0.3730 +2025-07-02 16:11:34,196 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:32:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3705, loss: 0.3705 +2025-07-02 16:11:49,811 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:31:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3684, loss: 0.3684 +2025-07-02 16:12:05,487 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:31:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3257, loss: 0.3257 +2025-07-02 16:12:21,146 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:31:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3622, loss: 0.3622 +2025-07-02 16:12:36,739 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:31:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9894, loss_cls: 0.4060, loss: 0.4060 +2025-07-02 16:12:52,294 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:30:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4498, loss: 0.4498 +2025-07-02 16:13:07,825 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:30:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.3804, loss: 0.3804 +2025-07-02 16:13:20,611 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 16:13:43,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:13:43,221 - pyskl - INFO - +top1_acc 0.8946 +top5_acc 0.9915 +2025-07-02 16:13:43,222 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.8946, top5_acc: 0.9915 +2025-07-02 16:14:20,076 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:30:08, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3340, loss: 0.3340 +2025-07-02 16:14:35,669 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:29:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3712, loss: 0.3712 +2025-07-02 16:14:51,365 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:29:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3558, loss: 0.3558 +2025-07-02 16:15:07,280 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:29:17, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 16:15:23,294 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:29:01, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3895, loss: 0.3895 +2025-07-02 16:15:38,901 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:28:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.3977, loss: 0.3977 +2025-07-02 16:15:54,490 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:28:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 0.3691, loss: 0.3691 +2025-07-02 16:16:10,163 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:28:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3498, loss: 0.3498 +2025-07-02 16:16:25,730 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:27:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 0.4260, loss: 0.4260 +2025-07-02 16:16:41,223 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:27:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4018, loss: 0.4018 +2025-07-02 16:16:56,729 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:27:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4136, loss: 0.4136 +2025-07-02 16:17:09,282 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 16:17:31,989 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:17:31,999 - pyskl - INFO - +top1_acc 0.9220 +top5_acc 0.9963 +2025-07-02 16:17:32,000 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9220, top5_acc: 0.9963 +2025-07-02 16:18:08,907 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:27:00, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.3926, loss: 0.3926 +2025-07-02 16:18:24,607 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:26:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3435, loss: 0.3435 +2025-07-02 16:18:40,319 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:26:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3512, loss: 0.3512 +2025-07-02 16:18:55,958 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:26:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3808, loss: 0.3808 +2025-07-02 16:19:11,644 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:25:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3635, loss: 0.3635 +2025-07-02 16:19:27,272 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:25:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9919, loss_cls: 0.3361, loss: 0.3361 +2025-07-02 16:19:42,868 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:25:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3758, loss: 0.3758 +2025-07-02 16:19:58,401 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:25:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3863, loss: 0.3863 +2025-07-02 16:20:13,924 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:24:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3449, loss: 0.3449 +2025-07-02 16:20:29,541 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:24:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3599, loss: 0.3599 +2025-07-02 16:20:45,162 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:24:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3544, loss: 0.3544 +2025-07-02 16:20:57,909 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 16:21:20,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:21:20,758 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9948 +2025-07-02 16:21:20,762 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_62.pth was removed +2025-07-02 16:21:20,878 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. +2025-07-02 16:21:20,878 - pyskl - INFO - Best top1_acc is 0.9360 at 67 epoch. +2025-07-02 16:21:20,879 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9360, top5_acc: 0.9948 +2025-07-02 16:21:57,474 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:23:52, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3464, loss: 0.3464 +2025-07-02 16:22:13,025 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:23:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.3131, loss: 0.3131 +2025-07-02 16:22:28,646 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:23:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 16:22:44,224 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:23:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3487, loss: 0.3487 +2025-07-02 16:22:59,829 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:22:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 16:23:15,399 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:22:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3834, loss: 0.3834 +2025-07-02 16:23:31,033 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:22:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3296, loss: 0.3296 +2025-07-02 16:23:46,653 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:21:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4310, loss: 0.4310 +2025-07-02 16:24:02,244 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:21:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3944, loss: 0.3944 +2025-07-02 16:24:17,708 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:21:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.3801, loss: 0.3801 +2025-07-02 16:24:33,182 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:21:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3837, loss: 0.3837 +2025-07-02 16:24:45,821 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 16:25:08,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:25:08,606 - pyskl - INFO - +top1_acc 0.9316 +top5_acc 0.9937 +2025-07-02 16:25:08,607 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9316, top5_acc: 0.9937 +2025-07-02 16:25:45,708 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:20:43, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3408, loss: 0.3408 +2025-07-02 16:26:01,395 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:20:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3383, loss: 0.3383 +2025-07-02 16:26:16,950 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:20:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3395, loss: 0.3395 +2025-07-02 16:26:32,536 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:19:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3596, loss: 0.3596 +2025-07-02 16:26:48,229 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:19:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.3153, loss: 0.3153 +2025-07-02 16:27:03,924 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:19:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3586, loss: 0.3586 +2025-07-02 16:27:19,745 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:19:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3580, loss: 0.3580 +2025-07-02 16:27:35,432 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:18:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3286, loss: 0.3286 +2025-07-02 16:27:51,063 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:18:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 16:28:06,619 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:18:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 16:28:22,189 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:17:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4568, loss: 0.4568 +2025-07-02 16:28:34,844 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 16:28:57,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:28:57,462 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9956 +2025-07-02 16:28:57,463 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9209, top5_acc: 0.9956 +2025-07-02 16:29:34,674 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:17:35, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3410, loss: 0.3410 +2025-07-02 16:29:50,274 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:17:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3270, loss: 0.3270 +2025-07-02 16:30:05,858 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:17:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3820, loss: 0.3820 +2025-07-02 16:30:21,393 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:16:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3547, loss: 0.3547 +2025-07-02 16:30:36,908 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:16:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.3877, loss: 0.3877 +2025-07-02 16:30:52,418 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:16:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3515, loss: 0.3515 +2025-07-02 16:31:08,038 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:15:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3499, loss: 0.3499 +2025-07-02 16:31:23,669 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:15:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3486, loss: 0.3486 +2025-07-02 16:31:39,313 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:15:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3996, loss: 0.3996 +2025-07-02 16:31:54,942 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:15:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4385, loss: 0.4385 +2025-07-02 16:32:10,458 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:14:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 0.3779, loss: 0.3779 +2025-07-02 16:32:23,078 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 16:32:45,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:32:45,782 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9959 +2025-07-02 16:32:45,783 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9194, top5_acc: 0.9959 +2025-07-02 16:33:22,861 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:14:26, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4062, loss: 0.4062 +2025-07-02 16:33:38,500 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:14:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3544, loss: 0.3544 +2025-07-02 16:33:54,259 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:13:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3344, loss: 0.3344 +2025-07-02 16:34:10,027 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:13:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 16:34:25,755 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:13:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4250, loss: 0.4250 +2025-07-02 16:34:41,459 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:13:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9912, loss_cls: 0.4016, loss: 0.4016 +2025-07-02 16:34:57,097 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:12:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 16:35:12,689 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:12:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3859, loss: 0.3859 +2025-07-02 16:35:28,315 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:12:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3154, loss: 0.3154 +2025-07-02 16:35:44,092 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:11:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3554, loss: 0.3554 +2025-07-02 16:35:59,801 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:11:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3433, loss: 0.3433 +2025-07-02 16:36:12,453 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 16:36:34,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:36:34,807 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9930 +2025-07-02 16:36:34,808 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9209, top5_acc: 0.9930 +2025-07-02 16:37:12,310 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:11:19, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 0.3922, loss: 0.3922 +2025-07-02 16:37:27,880 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:11:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 16:37:43,462 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:10:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3301, loss: 0.3301 +2025-07-02 16:37:58,933 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:10:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9969, loss_cls: 0.3383, loss: 0.3383 +2025-07-02 16:38:14,534 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:10:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3439, loss: 0.3439 +2025-07-02 16:38:30,072 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:09:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3344, loss: 0.3344 +2025-07-02 16:38:45,678 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:09:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3326, loss: 0.3326 +2025-07-02 16:39:01,295 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:09:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3584, loss: 0.3584 +2025-07-02 16:39:16,771 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:09:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.3142, loss: 0.3142 +2025-07-02 16:39:32,314 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:08:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3437, loss: 0.3437 +2025-07-02 16:39:47,796 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:08:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3527, loss: 0.3527 +2025-07-02 16:40:00,412 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 16:40:23,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:40:23,107 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9930 +2025-07-02 16:40:23,107 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9146, top5_acc: 0.9930 +2025-07-02 16:41:00,118 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:08:09, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 0.2997, loss: 0.2997 +2025-07-02 16:41:15,750 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:07:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3039, loss: 0.3039 +2025-07-02 16:41:31,596 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:07:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3427, loss: 0.3427 +2025-07-02 16:41:47,266 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:07:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3407, loss: 0.3407 +2025-07-02 16:42:02,966 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:07:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3428, loss: 0.3428 +2025-07-02 16:42:18,582 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:06:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3823, loss: 0.3823 +2025-07-02 16:42:34,205 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:06:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3458, loss: 0.3458 +2025-07-02 16:42:49,847 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:06:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3220, loss: 0.3220 +2025-07-02 16:43:05,474 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:05:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3609, loss: 0.3609 +2025-07-02 16:43:21,064 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:05:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4370, loss: 0.4370 +2025-07-02 16:43:36,718 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:05:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3516, loss: 0.3516 +2025-07-02 16:43:49,429 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 16:44:11,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:44:11,623 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9882 +2025-07-02 16:44:11,623 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.8964, top5_acc: 0.9882 +2025-07-02 16:44:49,061 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:05:01, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 16:45:04,574 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:04:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 0.3393, loss: 0.3393 +2025-07-02 16:45:20,124 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:04:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3411, loss: 0.3411 +2025-07-02 16:45:35,880 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:04:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3265, loss: 0.3265 +2025-07-02 16:45:51,460 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:03:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9925, loss_cls: 0.2801, loss: 0.2801 +2025-07-02 16:46:07,081 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:03:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9900, loss_cls: 0.3434, loss: 0.3434 +2025-07-02 16:46:22,729 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:03:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9981, loss_cls: 0.3703, loss: 0.3703 +2025-07-02 16:46:38,268 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:03:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3350, loss: 0.3350 +2025-07-02 16:46:53,790 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:02:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3195, loss: 0.3195 +2025-07-02 16:47:09,413 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:02:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 0.3578, loss: 0.3578 +2025-07-02 16:47:24,998 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:02:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9925, loss_cls: 0.3210, loss: 0.3210 +2025-07-02 16:47:37,719 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 16:48:00,459 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:48:00,469 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9915 +2025-07-02 16:48:00,469 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9238, top5_acc: 0.9915 +2025-07-02 16:48:37,175 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:01:52, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 0.2986, loss: 0.2986 +2025-07-02 16:48:52,765 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:01:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2809, loss: 0.2809 +2025-07-02 16:49:08,323 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:01:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3592, loss: 0.3592 +2025-07-02 16:49:24,035 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:01:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4194, loss: 0.4194 +2025-07-02 16:49:39,763 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:00:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9875, loss_cls: 0.3577, loss: 0.3577 +2025-07-02 16:49:55,511 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:00:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3126, loss: 0.3126 +2025-07-02 16:50:11,203 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 4:00:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 16:50:26,832 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 0.3674, loss: 0.3674 +2025-07-02 16:50:42,391 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:59:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3402, loss: 0.3402 +2025-07-02 16:50:57,921 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:59:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3582, loss: 0.3582 +2025-07-02 16:51:13,437 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:59:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3607, loss: 0.3607 +2025-07-02 16:51:26,122 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 16:51:49,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:51:49,423 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9956 +2025-07-02 16:51:49,423 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9349, top5_acc: 0.9956 +2025-07-02 16:52:25,990 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:58:42, time: 0.366, data_time: 0.206, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3117, loss: 0.3117 +2025-07-02 16:52:41,601 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:58:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2316, loss: 0.2316 +2025-07-02 16:52:57,242 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:58:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2781, loss: 0.2781 +2025-07-02 16:53:12,838 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:57:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 16:53:28,442 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:57:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3630, loss: 0.3630 +2025-07-02 16:53:44,100 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:57:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3766, loss: 0.3766 +2025-07-02 16:53:59,705 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:57:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3205, loss: 0.3205 +2025-07-02 16:54:15,303 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:56:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3368, loss: 0.3368 +2025-07-02 16:54:30,905 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:56:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3108, loss: 0.3108 +2025-07-02 16:54:46,491 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:56:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.4043, loss: 0.4043 +2025-07-02 16:55:02,076 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:55:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3195, loss: 0.3195 +2025-07-02 16:55:14,841 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 16:55:37,418 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:55:37,429 - pyskl - INFO - +top1_acc 0.9149 +top5_acc 0.9937 +2025-07-02 16:55:37,429 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9149, top5_acc: 0.9937 +2025-07-02 16:56:13,557 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:55:32, time: 0.361, data_time: 0.204, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3158, loss: 0.3158 +2025-07-02 16:56:29,051 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:55:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2847, loss: 0.2847 +2025-07-02 16:56:44,565 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:54:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3477, loss: 0.3477 +2025-07-02 16:57:00,048 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:54:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3390, loss: 0.3390 +2025-07-02 16:57:15,556 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:54:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3399, loss: 0.3399 +2025-07-02 16:57:31,127 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:54:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3041, loss: 0.3041 +2025-07-02 16:57:46,654 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:53:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2708, loss: 0.2708 +2025-07-02 16:58:02,127 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:53:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.3057, loss: 0.3057 +2025-07-02 16:58:17,563 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:53:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 16:58:33,004 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:53:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3018, loss: 0.3018 +2025-07-02 16:58:48,581 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:52:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2843, loss: 0.2843 +2025-07-02 16:59:01,267 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 16:59:24,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:59:24,027 - pyskl - INFO - +top1_acc 0.9283 +top5_acc 0.9926 +2025-07-02 16:59:24,027 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9283, top5_acc: 0.9926 +2025-07-02 17:00:00,457 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:52:21, time: 0.364, data_time: 0.205, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2833, loss: 0.2833 +2025-07-02 17:00:15,837 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:52:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2886, loss: 0.2886 +2025-07-02 17:00:31,310 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:51:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2287, loss: 0.2287 +2025-07-02 17:00:46,870 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:51:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 0.3643, loss: 0.3643 +2025-07-02 17:01:02,425 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:51:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3213, loss: 0.3213 +2025-07-02 17:01:17,944 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:50:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3174, loss: 0.3174 +2025-07-02 17:01:33,563 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:50:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3342, loss: 0.3342 +2025-07-02 17:01:49,153 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:50:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3476, loss: 0.3476 +2025-07-02 17:02:04,617 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:50:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3419, loss: 0.3419 +2025-07-02 17:02:20,061 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:49:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3080, loss: 0.3080 +2025-07-02 17:02:35,535 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:49:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2958, loss: 0.2958 +2025-07-02 17:02:48,166 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 17:03:10,557 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:03:10,567 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9948 +2025-07-02 17:03:10,567 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.9253, top5_acc: 0.9948 +2025-07-02 17:03:47,296 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:49:10, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2644, loss: 0.2644 +2025-07-02 17:04:02,942 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:48:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9931, loss_cls: 0.2751, loss: 0.2751 +2025-07-02 17:04:18,613 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:48:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2821, loss: 0.2821 +2025-07-02 17:04:34,232 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:48:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9944, loss_cls: 0.2864, loss: 0.2864 +2025-07-02 17:04:49,831 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:48:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 17:05:05,437 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:47:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3431, loss: 0.3431 +2025-07-02 17:05:20,990 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:47:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 0.2976, loss: 0.2976 +2025-07-02 17:05:36,450 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:47:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.2684, loss: 0.2684 +2025-07-02 17:05:51,917 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 17:06:07,372 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3521, loss: 0.3521 +2025-07-02 17:06:22,850 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:46:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3452, loss: 0.3452 +2025-07-02 17:06:35,443 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 17:06:57,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:06:57,836 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9945 +2025-07-02 17:06:57,836 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9349, top5_acc: 0.9945 +2025-07-02 17:07:35,078 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:46:01, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2960, loss: 0.2960 +2025-07-02 17:07:50,692 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:45:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2459, loss: 0.2459 +2025-07-02 17:08:06,221 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:45:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2700, loss: 0.2700 +2025-07-02 17:08:21,871 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:45:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3127, loss: 0.3127 +2025-07-02 17:08:37,423 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:44:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3411, loss: 0.3411 +2025-07-02 17:08:52,951 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:44:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3743, loss: 0.3743 +2025-07-02 17:09:08,637 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:44:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3155, loss: 0.3155 +2025-07-02 17:09:24,179 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:44:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3338, loss: 0.3338 +2025-07-02 17:09:39,639 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:43:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3445, loss: 0.3445 +2025-07-02 17:09:55,194 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:43:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2625, loss: 0.2625 +2025-07-02 17:10:10,761 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:43:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2712, loss: 0.2712 +2025-07-02 17:10:23,523 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 17:10:46,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:10:46,121 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9974 +2025-07-02 17:10:46,122 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9172, top5_acc: 0.9974 +2025-07-02 17:11:23,046 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:42:51, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2712, loss: 0.2712 +2025-07-02 17:11:38,647 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:42:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2727, loss: 0.2727 +2025-07-02 17:11:54,237 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:42:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3031, loss: 0.3031 +2025-07-02 17:12:09,888 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:42:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9919, loss_cls: 0.3530, loss: 0.3530 +2025-07-02 17:12:25,467 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:41:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2898, loss: 0.2898 +2025-07-02 17:12:41,113 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:41:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3185, loss: 0.3185 +2025-07-02 17:12:56,743 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:41:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9925, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 17:13:12,355 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2748, loss: 0.2748 +2025-07-02 17:13:27,973 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2864, loss: 0.2864 +2025-07-02 17:13:43,583 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:40:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2929, loss: 0.2929 +2025-07-02 17:13:59,200 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:40:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2905, loss: 0.2905 +2025-07-02 17:14:11,981 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 17:14:34,956 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:14:34,966 - pyskl - INFO - +top1_acc 0.9290 +top5_acc 0.9956 +2025-07-02 17:14:34,967 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9290, top5_acc: 0.9956 +2025-07-02 17:15:12,646 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:42, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9931, loss_cls: 0.2708, loss: 0.2708 +2025-07-02 17:15:28,273 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:39:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2404, loss: 0.2404 +2025-07-02 17:15:44,049 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:39:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2834, loss: 0.2834 +2025-07-02 17:15:59,710 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:38:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.3526, loss: 0.3526 +2025-07-02 17:16:15,356 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:38:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3116, loss: 0.3116 +2025-07-02 17:16:30,908 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:38:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3114, loss: 0.3114 +2025-07-02 17:16:46,465 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:38:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9931, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 17:17:02,029 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:37:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9931, loss_cls: 0.2770, loss: 0.2770 +2025-07-02 17:17:17,587 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:37:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2485, loss: 0.2485 +2025-07-02 17:17:33,171 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:37:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9975, loss_cls: 0.3124, loss: 0.3124 +2025-07-02 17:17:48,635 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2444, loss: 0.2444 +2025-07-02 17:18:01,664 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 17:18:24,774 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:18:24,784 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9945 +2025-07-02 17:18:24,784 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9109, top5_acc: 0.9945 +2025-07-02 17:19:02,508 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:36:32, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2691, loss: 0.2691 +2025-07-02 17:19:18,011 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:36:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2500, loss: 0.2500 +2025-07-02 17:19:33,563 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:35:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2635, loss: 0.2635 +2025-07-02 17:19:49,036 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3197, loss: 0.3197 +2025-07-02 17:20:05,082 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:35:25, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3031, loss: 0.3031 +2025-07-02 17:20:20,888 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:35:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3225, loss: 0.3225 +2025-07-02 17:20:36,521 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2903, loss: 0.2903 +2025-07-02 17:20:52,077 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9944, loss_cls: 0.2833, loss: 0.2833 +2025-07-02 17:21:07,631 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:34:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2574, loss: 0.2574 +2025-07-02 17:21:23,135 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:34:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2664, loss: 0.2664 +2025-07-02 17:21:38,678 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:33:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.2814, loss: 0.2814 +2025-07-02 17:21:51,408 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 17:22:14,887 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:22:14,897 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9952 +2025-07-02 17:22:14,897 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9357, top5_acc: 0.9952 +2025-07-02 17:22:52,826 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:33:23, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9931, loss_cls: 0.2753, loss: 0.2753 +2025-07-02 17:23:08,438 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:33:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2445, loss: 0.2445 +2025-07-02 17:23:24,011 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:32:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 17:23:39,967 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:32:33, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9912, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 17:23:55,663 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:32:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3158, loss: 0.3158 +2025-07-02 17:24:11,367 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:32:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.2667, loss: 0.2667 +2025-07-02 17:24:26,911 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2508, loss: 0.2508 +2025-07-02 17:24:42,472 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:31:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2917, loss: 0.2917 +2025-07-02 17:24:57,995 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:31:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2464, loss: 0.2464 +2025-07-02 17:25:13,540 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9912, loss_cls: 0.2935, loss: 0.2935 +2025-07-02 17:25:29,058 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3139, loss: 0.3139 +2025-07-02 17:25:41,754 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 17:26:05,516 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:26:05,529 - pyskl - INFO - +top1_acc 0.9268 +top5_acc 0.9959 +2025-07-02 17:26:05,530 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9268, top5_acc: 0.9959 +2025-07-02 17:26:43,455 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:30:14, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2570, loss: 0.2570 +2025-07-02 17:26:59,096 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2984, loss: 0.2984 +2025-07-02 17:27:14,915 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.2932, loss: 0.2932 +2025-07-02 17:27:30,621 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:29:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.2988, loss: 0.2988 +2025-07-02 17:27:46,161 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:29:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2790, loss: 0.2790 +2025-07-02 17:28:01,676 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2933, loss: 0.2933 +2025-07-02 17:28:17,151 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:28:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2589, loss: 0.2589 +2025-07-02 17:28:32,718 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:28:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 0.2833, loss: 0.2833 +2025-07-02 17:28:48,286 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:28:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2679, loss: 0.2679 +2025-07-02 17:29:03,900 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3005, loss: 0.3005 +2025-07-02 17:29:19,443 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:27:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2640, loss: 0.2640 +2025-07-02 17:29:32,219 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 17:29:55,663 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:29:55,674 - pyskl - INFO - +top1_acc 0.9234 +top5_acc 0.9922 +2025-07-02 17:29:55,675 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9234, top5_acc: 0.9922 +2025-07-02 17:30:33,297 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:27:04, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.2108, loss: 0.2108 +2025-07-02 17:30:48,976 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:26:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 17:31:04,708 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:26:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 17:31:20,358 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:26:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2882, loss: 0.2882 +2025-07-02 17:31:35,968 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3102, loss: 0.3102 +2025-07-02 17:31:51,773 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2738, loss: 0.2738 +2025-07-02 17:32:07,348 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:25:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2951, loss: 0.2951 +2025-07-02 17:32:22,914 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:25:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2953, loss: 0.2953 +2025-07-02 17:32:38,451 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2782, loss: 0.2782 +2025-07-02 17:32:54,032 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:24:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 0.3013, loss: 0.3013 +2025-07-02 17:33:09,522 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:24:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9938, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 17:33:22,156 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 17:33:45,709 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:33:45,719 - pyskl - INFO - +top1_acc 0.9312 +top5_acc 0.9970 +2025-07-02 17:33:45,720 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9312, top5_acc: 0.9970 +2025-07-02 17:34:23,195 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:55, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2393, loss: 0.2393 +2025-07-02 17:34:38,741 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2258, loss: 0.2258 +2025-07-02 17:34:54,336 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:23:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2709, loss: 0.2709 +2025-07-02 17:35:09,923 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:23:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2563, loss: 0.2563 +2025-07-02 17:35:25,559 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:22:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2461, loss: 0.2461 +2025-07-02 17:35:41,133 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:22:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2701, loss: 0.2701 +2025-07-02 17:35:56,804 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:22:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2608, loss: 0.2608 +2025-07-02 17:36:12,490 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 0.2822, loss: 0.2822 +2025-07-02 17:36:28,193 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2758, loss: 0.2758 +2025-07-02 17:36:44,069 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:21:25, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.2919, loss: 0.2919 +2025-07-02 17:36:59,574 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:21:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3313, loss: 0.3313 +2025-07-02 17:37:12,342 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 17:37:35,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:37:35,415 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9915 +2025-07-02 17:37:35,415 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9253, top5_acc: 0.9915 +2025-07-02 17:38:12,898 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:45, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2637, loss: 0.2637 +2025-07-02 17:38:28,395 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:20:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2313, loss: 0.2313 +2025-07-02 17:38:43,987 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:20:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2550, loss: 0.2550 +2025-07-02 17:38:59,498 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2987, loss: 0.2987 +2025-07-02 17:39:15,059 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 0.2550, loss: 0.2550 +2025-07-02 17:39:30,603 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:19:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2630, loss: 0.2630 +2025-07-02 17:39:46,198 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:19:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2101, loss: 0.2101 +2025-07-02 17:40:01,785 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3067, loss: 0.3067 +2025-07-02 17:40:17,399 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:18:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2516, loss: 0.2516 +2025-07-02 17:40:33,026 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:18:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2629, loss: 0.2629 +2025-07-02 17:40:48,690 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2475, loss: 0.2475 +2025-07-02 17:41:01,516 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 17:41:24,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:41:24,730 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9963 +2025-07-02 17:41:24,734 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_67.pth was removed +2025-07-02 17:41:24,848 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2025-07-02 17:41:24,848 - pyskl - INFO - Best top1_acc is 0.9408 at 88 epoch. +2025-07-02 17:41:24,849 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9408, top5_acc: 0.9963 +2025-07-02 17:42:02,236 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:35, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 17:42:17,754 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:17:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2367, loss: 0.2367 +2025-07-02 17:42:33,355 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:17:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2449, loss: 0.2449 +2025-07-02 17:42:48,889 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 17:43:04,419 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:16:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2577, loss: 0.2577 +2025-07-02 17:43:19,947 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:16:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9950, loss_cls: 0.2662, loss: 0.2662 +2025-07-02 17:43:35,607 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2597, loss: 0.2597 +2025-07-02 17:43:51,239 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2607, loss: 0.2607 +2025-07-02 17:44:06,815 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:15:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 0.2732, loss: 0.2732 +2025-07-02 17:44:22,490 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:15:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2332, loss: 0.2332 +2025-07-02 17:44:38,126 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2343, loss: 0.2343 +2025-07-02 17:44:50,931 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 17:45:14,189 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:45:14,199 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9933 +2025-07-02 17:45:14,200 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9101, top5_acc: 0.9933 +2025-07-02 17:45:52,228 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:14:25, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.2827, loss: 0.2827 +2025-07-02 17:46:07,878 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:14:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2160, loss: 0.2160 +2025-07-02 17:46:23,671 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2610, loss: 0.2610 +2025-07-02 17:46:39,228 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2431, loss: 0.2431 +2025-07-02 17:46:54,760 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:13:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.2802, loss: 0.2802 +2025-07-02 17:47:10,402 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:13:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2639, loss: 0.2639 +2025-07-02 17:47:26,003 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9950, loss_cls: 0.2466, loss: 0.2466 +2025-07-02 17:47:41,658 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:12:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2536, loss: 0.2536 +2025-07-02 17:47:57,248 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:12:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2755, loss: 0.2755 +2025-07-02 17:48:12,911 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.2228, loss: 0.2228 +2025-07-02 17:48:28,562 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2770, loss: 0.2770 +2025-07-02 17:48:41,330 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 17:49:04,469 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:49:04,479 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9963 +2025-07-02 17:49:04,479 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9397, top5_acc: 0.9963 +2025-07-02 17:49:42,056 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:11:15, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2301, loss: 0.2301 +2025-07-02 17:49:57,619 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2350, loss: 0.2350 +2025-07-02 17:50:13,066 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2713, loss: 0.2713 +2025-07-02 17:50:28,537 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:10:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2698, loss: 0.2698 +2025-07-02 17:50:44,115 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:10:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 17:50:59,786 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2310, loss: 0.2310 +2025-07-02 17:51:15,436 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2369, loss: 0.2369 +2025-07-02 17:51:30,928 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:09:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 17:51:46,402 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:09:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2367, loss: 0.2367 +2025-07-02 17:52:01,900 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 17:52:17,708 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:08:28, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2489, loss: 0.2489 +2025-07-02 17:52:30,494 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 17:52:53,310 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:52:53,321 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9956 +2025-07-02 17:52:53,321 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9301, top5_acc: 0.9956 +2025-07-02 17:53:31,197 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:08:05, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1670, loss: 0.1670 +2025-07-02 17:53:46,915 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2464, loss: 0.2464 +2025-07-02 17:54:02,461 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:07:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2381, loss: 0.2381 +2025-07-02 17:54:18,028 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:07:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2317, loss: 0.2317 +2025-07-02 17:54:33,751 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.2043, loss: 0.2043 +2025-07-02 17:54:49,435 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1904, loss: 0.1904 +2025-07-02 17:55:05,041 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:06:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2464, loss: 0.2464 +2025-07-02 17:55:20,691 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:06:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9931, loss_cls: 0.2373, loss: 0.2373 +2025-07-02 17:55:36,306 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2505, loss: 0.2505 +2025-07-02 17:55:51,980 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2672, loss: 0.2672 +2025-07-02 17:56:07,622 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:05:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 17:56:20,429 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 17:56:43,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:56:43,204 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9952 +2025-07-02 17:56:43,205 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9345, top5_acc: 0.9952 +2025-07-02 17:57:20,881 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:55, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 0.2497, loss: 0.2497 +2025-07-02 17:57:36,483 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2386, loss: 0.2386 +2025-07-02 17:57:52,119 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:04:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.2027, loss: 0.2027 +2025-07-02 17:58:07,627 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:04:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2227, loss: 0.2227 +2025-07-02 17:58:23,201 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9931, loss_cls: 0.2729, loss: 0.2729 +2025-07-02 17:58:38,761 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:03:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2325, loss: 0.2325 +2025-07-02 17:58:54,319 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:03:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 17:59:09,857 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2532, loss: 0.2532 +2025-07-02 17:59:25,415 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2161, loss: 0.2161 +2025-07-02 17:59:41,038 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:02:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2159, loss: 0.2159 +2025-07-02 17:59:56,594 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:02:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.2543, loss: 0.2543 +2025-07-02 18:00:09,417 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 18:00:32,326 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:00:32,336 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9959 +2025-07-02 18:00:32,340 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_88.pth was removed +2025-07-02 18:00:32,448 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-07-02 18:00:32,449 - pyskl - INFO - Best top1_acc is 0.9419 at 93 epoch. +2025-07-02 18:00:32,450 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9419, top5_acc: 0.9959 +2025-07-02 18:01:09,812 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:44, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2290, loss: 0.2290 +2025-07-02 18:01:25,364 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:01:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2494, loss: 0.2494 +2025-07-02 18:01:40,954 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:01:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 18:01:56,536 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9931, loss_cls: 0.2244, loss: 0.2244 +2025-07-02 18:02:12,075 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2234, loss: 0.2234 +2025-07-02 18:02:27,584 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:00:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2495, loss: 0.2495 +2025-07-02 18:02:43,067 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 3:00:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2091, loss: 0.2091 +2025-07-02 18:02:58,567 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.2863, loss: 0.2863 +2025-07-02 18:03:14,069 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:59:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2032, loss: 0.2032 +2025-07-02 18:03:29,645 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:59:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2863, loss: 0.2863 +2025-07-02 18:03:45,419 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2241, loss: 0.2241 +2025-07-02 18:03:58,215 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 18:04:20,639 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:04:20,649 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9948 +2025-07-02 18:04:20,650 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9405, top5_acc: 0.9948 +2025-07-02 18:04:58,105 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:33, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1924, loss: 0.1924 +2025-07-02 18:05:13,622 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:58:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1873, loss: 0.1873 +2025-07-02 18:05:29,207 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:58:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1915, loss: 0.1915 +2025-07-02 18:05:44,743 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2217, loss: 0.2217 +2025-07-02 18:06:00,375 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:57:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2453, loss: 0.2453 +2025-07-02 18:06:16,018 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:57:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 0.2446, loss: 0.2446 +2025-07-02 18:06:31,665 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2166, loss: 0.2166 +2025-07-02 18:06:47,183 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 18:07:02,686 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:56:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2514, loss: 0.2514 +2025-07-02 18:07:18,244 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:56:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.2099, loss: 0.2099 +2025-07-02 18:07:33,906 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.1950, loss: 0.1950 +2025-07-02 18:07:46,729 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 18:08:09,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:08:09,496 - pyskl - INFO - +top1_acc 0.9316 +top5_acc 0.9959 +2025-07-02 18:08:09,497 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9316, top5_acc: 0.9959 +2025-07-02 18:08:46,911 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:55:23, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1767, loss: 0.1767 +2025-07-02 18:09:02,572 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 18:09:18,239 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2001, loss: 0.2001 +2025-07-02 18:09:33,844 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2324, loss: 0.2324 +2025-07-02 18:09:49,511 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:54:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1918, loss: 0.1918 +2025-07-02 18:10:05,083 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:54:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1959, loss: 0.1959 +2025-07-02 18:10:20,607 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1860, loss: 0.1860 +2025-07-02 18:10:36,146 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:53:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2351, loss: 0.2351 +2025-07-02 18:10:51,700 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:53:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2282, loss: 0.2282 +2025-07-02 18:11:07,374 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2419, loss: 0.2419 +2025-07-02 18:11:23,027 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2260, loss: 0.2260 +2025-07-02 18:11:35,756 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 18:11:58,679 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:11:58,690 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9959 +2025-07-02 18:11:58,693 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_93.pth was removed +2025-07-02 18:11:58,812 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_96.pth. +2025-07-02 18:11:58,813 - pyskl - INFO - Best top1_acc is 0.9464 at 96 epoch. +2025-07-02 18:11:58,814 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9464, top5_acc: 0.9959 +2025-07-02 18:12:36,417 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:52:12, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2232, loss: 0.2232 +2025-07-02 18:12:51,956 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.2061, loss: 0.2061 +2025-07-02 18:13:07,640 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1903, loss: 0.1903 +2025-07-02 18:13:23,250 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:51:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1911, loss: 0.1911 +2025-07-02 18:13:38,858 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2038, loss: 0.2038 +2025-07-02 18:13:54,464 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2165, loss: 0.2165 +2025-07-02 18:14:10,071 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2179, loss: 0.2179 +2025-07-02 18:14:25,667 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:50:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1987, loss: 0.1987 +2025-07-02 18:14:41,244 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1855, loss: 0.1855 +2025-07-02 18:14:56,824 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2233, loss: 0.2233 +2025-07-02 18:15:12,262 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:49:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2048, loss: 0.2048 +2025-07-02 18:15:25,070 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 18:15:47,684 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:15:47,695 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9959 +2025-07-02 18:15:47,695 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9327, top5_acc: 0.9959 +2025-07-02 18:16:24,932 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:49:01, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1861, loss: 0.1861 +2025-07-02 18:16:40,485 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2217, loss: 0.2217 +2025-07-02 18:16:56,143 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:48:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2169, loss: 0.2169 +2025-07-02 18:17:11,894 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:48:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.1997, loss: 0.1997 +2025-07-02 18:17:27,574 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2114, loss: 0.2114 +2025-07-02 18:17:43,182 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2215, loss: 0.2215 +2025-07-02 18:17:58,790 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:47:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1954, loss: 0.1954 +2025-07-02 18:18:14,409 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1938, loss: 0.1938 +2025-07-02 18:18:30,001 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2237, loss: 0.2237 +2025-07-02 18:18:45,643 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1903, loss: 0.1903 +2025-07-02 18:19:01,276 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:46:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2418, loss: 0.2418 +2025-07-02 18:19:14,103 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 18:19:36,856 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:19:36,867 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9919 +2025-07-02 18:19:36,868 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9286, top5_acc: 0.9919 +2025-07-02 18:20:14,539 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:51, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1929, loss: 0.1929 +2025-07-02 18:20:30,132 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 18:20:45,803 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:45:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1609, loss: 0.1609 +2025-07-02 18:21:01,494 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:45:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2032, loss: 0.2032 +2025-07-02 18:21:17,085 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2069, loss: 0.2069 +2025-07-02 18:21:32,785 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:44:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 18:21:48,413 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:44:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.2024, loss: 0.2024 +2025-07-02 18:22:04,051 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1874, loss: 0.1874 +2025-07-02 18:22:19,690 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2225, loss: 0.2225 +2025-07-02 18:22:35,343 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:43:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1883, loss: 0.1883 +2025-07-02 18:22:50,935 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:43:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1684, loss: 0.1684 +2025-07-02 18:23:03,647 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 18:23:27,140 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:23:27,151 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9970 +2025-07-02 18:23:27,151 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9338, top5_acc: 0.9970 +2025-07-02 18:24:05,303 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:41, time: 0.381, data_time: 0.220, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1579, loss: 0.1579 +2025-07-02 18:24:20,992 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:42:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1481, loss: 0.1481 +2025-07-02 18:24:36,786 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 18:24:52,543 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:51, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1356, loss: 0.1356 +2025-07-02 18:25:08,269 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 18:25:23,930 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:41:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2110, loss: 0.2110 +2025-07-02 18:25:39,661 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:41:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 0.2033, loss: 0.2033 +2025-07-02 18:25:55,322 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2229, loss: 0.2229 +2025-07-02 18:26:10,990 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:40:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1827, loss: 0.1827 +2025-07-02 18:26:26,665 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1966, loss: 0.1966 +2025-07-02 18:26:42,312 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9938, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 18:26:55,100 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 18:27:18,332 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:27:18,343 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9970 +2025-07-02 18:27:18,343 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9464, top5_acc: 0.9970 +2025-07-02 18:27:56,011 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:31, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1309, loss: 0.1309 +2025-07-02 18:28:11,654 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1678, loss: 0.1678 +2025-07-02 18:28:27,215 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.1956, loss: 0.1956 +2025-07-02 18:28:42,868 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1808, loss: 0.1808 +2025-07-02 18:28:58,511 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:38:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2275, loss: 0.2275 +2025-07-02 18:29:14,247 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1970, loss: 0.1970 +2025-07-02 18:29:29,909 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2204, loss: 0.2204 +2025-07-02 18:29:45,490 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2120, loss: 0.2120 +2025-07-02 18:30:01,021 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:37:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2082, loss: 0.2082 +2025-07-02 18:30:16,612 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:37:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2289, loss: 0.2289 +2025-07-02 18:30:32,229 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1938, loss: 0.1938 +2025-07-02 18:30:44,951 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 18:31:07,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:31:07,945 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9967 +2025-07-02 18:31:07,946 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9449, top5_acc: 0.9967 +2025-07-02 18:31:46,041 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:36:20, time: 0.381, data_time: 0.219, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1555, loss: 0.1555 +2025-07-02 18:32:01,650 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:36:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1630, loss: 0.1630 +2025-07-02 18:32:17,266 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1483, loss: 0.1483 +2025-07-02 18:32:33,069 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1759, loss: 0.1759 +2025-07-02 18:32:48,778 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9956, loss_cls: 0.1826, loss: 0.1826 +2025-07-02 18:33:04,379 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1812, loss: 0.1812 +2025-07-02 18:33:19,986 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1551, loss: 0.1551 +2025-07-02 18:33:35,576 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:34:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9962, loss_cls: 0.1534, loss: 0.1534 +2025-07-02 18:33:51,128 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.1990, loss: 0.1990 +2025-07-02 18:34:06,820 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1760, loss: 0.1760 +2025-07-02 18:34:22,652 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 18:34:35,466 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 18:34:58,317 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:34:58,327 - pyskl - INFO - +top1_acc 0.9408 +top5_acc 0.9956 +2025-07-02 18:34:58,328 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9408, top5_acc: 0.9956 +2025-07-02 18:35:35,876 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:09, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1815, loss: 0.1815 +2025-07-02 18:35:51,585 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1821, loss: 0.1821 +2025-07-02 18:36:07,406 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1632, loss: 0.1632 +2025-07-02 18:36:23,115 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:32:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1758, loss: 0.1758 +2025-07-02 18:36:38,732 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:32:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1375, loss: 0.1375 +2025-07-02 18:36:54,157 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1673, loss: 0.1673 +2025-07-02 18:37:09,628 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1855, loss: 0.1855 +2025-07-02 18:37:25,076 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1550, loss: 0.1550 +2025-07-02 18:37:40,512 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1498, loss: 0.1498 +2025-07-02 18:37:55,957 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1653, loss: 0.1653 +2025-07-02 18:38:11,375 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:30:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 0.1923, loss: 0.1923 +2025-07-02 18:38:24,245 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 18:38:47,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:38:47,115 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9956 +2025-07-02 18:38:47,116 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9364, top5_acc: 0.9956 +2025-07-02 18:39:24,619 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:58, time: 0.375, data_time: 0.217, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 0.1783, loss: 0.1783 +2025-07-02 18:39:40,235 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1706, loss: 0.1706 +2025-07-02 18:39:55,990 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1570, loss: 0.1570 +2025-07-02 18:40:11,669 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1618, loss: 0.1618 +2025-07-02 18:40:27,350 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1526, loss: 0.1526 +2025-07-02 18:40:42,846 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9950, loss_cls: 0.2110, loss: 0.2110 +2025-07-02 18:40:58,354 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:28:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2008, loss: 0.2008 +2025-07-02 18:41:13,845 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:28:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1821, loss: 0.1821 +2025-07-02 18:41:29,319 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.1745, loss: 0.1745 +2025-07-02 18:41:44,946 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1754, loss: 0.1754 +2025-07-02 18:42:00,526 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1873, loss: 0.1873 +2025-07-02 18:42:13,310 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 18:42:36,163 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:42:36,173 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9956 +2025-07-02 18:42:36,174 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9393, top5_acc: 0.9956 +2025-07-02 18:43:13,990 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:47, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9956, loss_cls: 0.1503, loss: 0.1503 +2025-07-02 18:43:29,743 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1486, loss: 0.1486 +2025-07-02 18:43:45,379 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 18:44:00,983 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1776, loss: 0.1776 +2025-07-02 18:44:16,642 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1574, loss: 0.1574 +2025-07-02 18:44:32,243 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:25:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1799, loss: 0.1799 +2025-07-02 18:44:47,772 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1381, loss: 0.1381 +2025-07-02 18:45:03,293 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2030, loss: 0.2030 +2025-07-02 18:45:18,841 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1653, loss: 0.1653 +2025-07-02 18:45:34,474 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1459, loss: 0.1459 +2025-07-02 18:45:50,065 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:24:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 18:46:02,758 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 18:46:25,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:46:25,900 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9959 +2025-07-02 18:46:25,900 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9379, top5_acc: 0.9959 +2025-07-02 18:47:03,756 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:36, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1203, loss: 0.1203 +2025-07-02 18:47:19,340 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9962, loss_cls: 0.1285, loss: 0.1285 +2025-07-02 18:47:34,950 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:23:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 0.1386, loss: 0.1386 +2025-07-02 18:47:50,470 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 18:48:06,054 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9956, loss_cls: 0.1614, loss: 0.1614 +2025-07-02 18:48:21,518 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2197, loss: 0.2197 +2025-07-02 18:48:37,022 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1863, loss: 0.1863 +2025-07-02 18:48:52,575 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 18:49:08,131 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:21:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1554, loss: 0.1554 +2025-07-02 18:49:23,718 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.1814, loss: 0.1814 +2025-07-02 18:49:39,370 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9944, loss_cls: 0.1706, loss: 0.1706 +2025-07-02 18:49:52,140 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 18:50:15,320 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:50:15,330 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9952 +2025-07-02 18:50:15,330 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9368, top5_acc: 0.9952 +2025-07-02 18:50:53,298 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:25, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 18:51:08,953 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1497, loss: 0.1497 +2025-07-02 18:51:24,755 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1621, loss: 0.1621 +2025-07-02 18:51:40,435 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1531, loss: 0.1531 +2025-07-02 18:51:56,106 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1662, loss: 0.1662 +2025-07-02 18:52:11,663 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:19:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1654, loss: 0.1654 +2025-07-02 18:52:27,175 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1349, loss: 0.1349 +2025-07-02 18:52:42,634 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1483, loss: 0.1483 +2025-07-02 18:52:58,066 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1620, loss: 0.1620 +2025-07-02 18:53:13,600 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1737, loss: 0.1737 +2025-07-02 18:53:29,431 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1532, loss: 0.1532 +2025-07-02 18:53:42,459 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 18:54:05,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:54:05,035 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9970 +2025-07-02 18:54:05,036 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9345, top5_acc: 0.9970 +2025-07-02 18:54:42,519 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:14, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1605, loss: 0.1605 +2025-07-02 18:54:58,139 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1369, loss: 0.1369 +2025-07-02 18:55:14,059 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:41, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1208, loss: 0.1208 +2025-07-02 18:55:29,776 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1101, loss: 0.1101 +2025-07-02 18:55:45,312 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1532, loss: 0.1532 +2025-07-02 18:56:00,848 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1838, loss: 0.1838 +2025-07-02 18:56:16,366 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1836, loss: 0.1836 +2025-07-02 18:56:31,872 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1646, loss: 0.1646 +2025-07-02 18:56:47,359 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:15:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9956, loss_cls: 0.1847, loss: 0.1847 +2025-07-02 18:57:02,947 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1663, loss: 0.1663 +2025-07-02 18:57:18,503 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1664, loss: 0.1664 +2025-07-02 18:57:31,429 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 18:57:54,916 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:57:54,926 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9963 +2025-07-02 18:57:54,930 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_96.pth was removed +2025-07-02 18:57:55,042 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2025-07-02 18:57:55,043 - pyskl - INFO - Best top1_acc is 0.9545 at 108 epoch. +2025-07-02 18:57:55,043 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9545, top5_acc: 0.9963 +2025-07-02 18:58:32,547 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:14:03, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1400, loss: 0.1400 +2025-07-02 18:58:48,219 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1131, loss: 0.1131 +2025-07-02 18:59:03,942 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1520, loss: 0.1520 +2025-07-02 18:59:19,656 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1539, loss: 0.1539 +2025-07-02 18:59:35,287 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1679, loss: 0.1679 +2025-07-02 18:59:50,987 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1360, loss: 0.1360 +2025-07-02 19:00:06,588 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1283, loss: 0.1283 +2025-07-02 19:00:22,142 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:12:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1293, loss: 0.1293 +2025-07-02 19:00:37,723 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 19:00:53,418 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 19:01:09,198 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 19:01:21,989 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 19:01:44,690 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:01:44,700 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9970 +2025-07-02 19:01:44,701 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9523, top5_acc: 0.9970 +2025-07-02 19:02:22,253 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:52, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1046, loss: 0.1046 +2025-07-02 19:02:37,746 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1190, loss: 0.1190 +2025-07-02 19:02:53,395 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1177, loss: 0.1177 +2025-07-02 19:03:08,996 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:10:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1488, loss: 0.1488 +2025-07-02 19:03:24,670 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1403, loss: 0.1403 +2025-07-02 19:03:40,314 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1382, loss: 0.1382 +2025-07-02 19:03:55,935 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1611, loss: 0.1611 +2025-07-02 19:04:11,544 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 19:04:27,139 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9962, loss_cls: 0.1329, loss: 0.1329 +2025-07-02 19:04:42,744 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1299, loss: 0.1299 +2025-07-02 19:04:58,349 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:08:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1306, loss: 0.1306 +2025-07-02 19:05:11,080 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 19:05:33,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:05:33,947 - pyskl - INFO - +top1_acc 0.9401 +top5_acc 0.9956 +2025-07-02 19:05:33,947 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9401, top5_acc: 0.9956 +2025-07-02 19:06:11,135 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:40, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1236, loss: 0.1236 +2025-07-02 19:06:26,627 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0861, loss: 0.0861 +2025-07-02 19:06:42,274 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:07:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 19:06:57,868 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1517, loss: 0.1517 +2025-07-02 19:07:13,614 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1186, loss: 0.1186 +2025-07-02 19:07:29,305 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1573, loss: 0.1573 +2025-07-02 19:07:44,870 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:06:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1211, loss: 0.1211 +2025-07-02 19:08:00,483 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9956, loss_cls: 0.1473, loss: 0.1473 +2025-07-02 19:08:16,003 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1194, loss: 0.1194 +2025-07-02 19:08:31,523 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1033, loss: 0.1033 +2025-07-02 19:08:47,165 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1393, loss: 0.1393 +2025-07-02 19:08:59,847 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 19:09:22,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:09:22,703 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9959 +2025-07-02 19:09:22,704 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9460, top5_acc: 0.9959 +2025-07-02 19:10:00,337 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:29, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1169, loss: 0.1169 +2025-07-02 19:10:15,929 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1408, loss: 0.1408 +2025-07-02 19:10:31,531 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 19:10:47,317 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 19:11:02,938 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0964, loss: 0.0964 +2025-07-02 19:11:18,559 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:03:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1446, loss: 0.1446 +2025-07-02 19:11:34,227 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1358, loss: 0.1358 +2025-07-02 19:11:49,733 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1229, loss: 0.1229 +2025-07-02 19:12:05,266 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1333, loss: 0.1333 +2025-07-02 19:12:20,898 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:02:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1477, loss: 0.1477 +2025-07-02 19:12:36,466 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9962, loss_cls: 0.1415, loss: 0.1415 +2025-07-02 19:12:49,267 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 19:13:12,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:13:12,684 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9963 +2025-07-02 19:13:12,685 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9419, top5_acc: 0.9963 +2025-07-02 19:13:50,490 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:18, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 19:14:06,094 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:01:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1142, loss: 0.1142 +2025-07-02 19:14:21,717 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 19:14:37,330 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 19:14:52,915 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1279, loss: 0.1279 +2025-07-02 19:15:08,606 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 19:15:24,306 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1169, loss: 0.1169 +2025-07-02 19:15:39,866 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.1106, loss: 0.1106 +2025-07-02 19:15:55,460 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:59:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 19:16:11,119 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 19:16:26,830 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1222, loss: 0.1222 +2025-07-02 19:16:39,642 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 19:17:02,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:17:02,665 - pyskl - INFO - +top1_acc 0.9504 +top5_acc 0.9974 +2025-07-02 19:17:02,665 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9504, top5_acc: 0.9974 +2025-07-02 19:17:40,522 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:58:06, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1142, loss: 0.1142 +2025-07-02 19:17:56,159 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 19:18:11,674 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 19:18:27,333 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1177, loss: 0.1177 +2025-07-02 19:18:42,773 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:57:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 19:18:58,317 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 0.1576, loss: 0.1576 +2025-07-02 19:19:13,859 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0838, loss: 0.0838 +2025-07-02 19:19:29,431 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1110, loss: 0.1110 +2025-07-02 19:19:44,949 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1014, loss: 0.1014 +2025-07-02 19:20:00,518 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1105, loss: 0.1105 +2025-07-02 19:20:16,179 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0960, loss: 0.0960 +2025-07-02 19:20:29,017 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 19:20:52,880 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:20:52,890 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9970 +2025-07-02 19:20:52,891 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9430, top5_acc: 0.9970 +2025-07-02 19:21:31,132 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:55, time: 0.382, data_time: 0.222, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 19:21:46,496 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 19:22:01,979 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0906, loss: 0.0906 +2025-07-02 19:22:17,566 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:54:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9956, loss_cls: 0.1524, loss: 0.1524 +2025-07-02 19:22:33,164 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1224, loss: 0.1224 +2025-07-02 19:22:48,714 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1141, loss: 0.1141 +2025-07-02 19:23:04,330 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1006, loss: 0.1006 +2025-07-02 19:23:19,902 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1253, loss: 0.1253 +2025-07-02 19:23:35,450 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1095, loss: 0.1095 +2025-07-02 19:23:51,089 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0902, loss: 0.0902 +2025-07-02 19:24:06,594 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 19:24:19,392 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 19:24:43,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:24:43,176 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9959 +2025-07-02 19:24:43,176 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9423, top5_acc: 0.9959 +2025-07-02 19:25:21,695 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:44, time: 0.385, data_time: 0.226, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0970, loss: 0.0970 +2025-07-02 19:25:37,355 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1033, loss: 0.1033 +2025-07-02 19:25:52,955 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1174, loss: 0.1174 +2025-07-02 19:26:08,707 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1090, loss: 0.1090 +2025-07-02 19:26:24,228 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.0966, loss: 0.0966 +2025-07-02 19:26:39,793 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 19:26:55,437 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:50:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1324, loss: 0.1324 +2025-07-02 19:27:10,989 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 19:27:26,552 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 19:27:42,147 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1235, loss: 0.1235 +2025-07-02 19:27:57,669 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0995, loss: 0.0995 +2025-07-02 19:28:10,504 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 19:28:34,160 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:28:34,171 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9970 +2025-07-02 19:28:34,172 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9449, top5_acc: 0.9970 +2025-07-02 19:29:12,220 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:32, time: 0.380, data_time: 0.221, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0954, loss: 0.0954 +2025-07-02 19:29:27,886 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0948, loss: 0.0948 +2025-07-02 19:29:43,487 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1084, loss: 0.1084 +2025-07-02 19:29:59,035 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 19:30:14,669 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1136, loss: 0.1136 +2025-07-02 19:30:30,293 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1145, loss: 0.1145 +2025-07-02 19:30:45,829 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1127, loss: 0.1127 +2025-07-02 19:31:01,367 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 19:31:16,877 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1089, loss: 0.1089 +2025-07-02 19:31:32,462 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:46:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1275, loss: 0.1275 +2025-07-02 19:31:48,201 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0851, loss: 0.0851 +2025-07-02 19:32:01,036 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 19:32:24,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:32:24,984 - pyskl - INFO - +top1_acc 0.9493 +top5_acc 0.9963 +2025-07-02 19:32:24,985 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9493, top5_acc: 0.9963 +2025-07-02 19:33:03,147 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:21, time: 0.382, data_time: 0.222, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 19:33:18,772 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:45:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0933, loss: 0.0933 +2025-07-02 19:33:34,374 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 19:33:50,051 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.0994, loss: 0.0994 +2025-07-02 19:34:05,607 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1187, loss: 0.1187 +2025-07-02 19:34:21,054 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:58, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0939, loss: 0.0939 +2025-07-02 19:34:36,482 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 19:34:51,953 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0629, loss: 0.0629 +2025-07-02 19:35:07,462 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 19:35:22,947 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0930, loss: 0.0930 +2025-07-02 19:35:38,506 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9962, loss_cls: 0.1034, loss: 0.1034 +2025-07-02 19:35:51,198 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 19:36:14,885 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:36:14,899 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9959 +2025-07-02 19:36:14,900 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9438, top5_acc: 0.9959 +2025-07-02 19:36:53,197 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:09, time: 0.383, data_time: 0.223, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0797, loss: 0.0797 +2025-07-02 19:37:08,901 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 19:37:24,569 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 19:37:40,191 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 19:37:55,731 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:41:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0878, loss: 0.0878 +2025-07-02 19:38:11,227 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1070, loss: 0.1070 +2025-07-02 19:38:26,703 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1111, loss: 0.1111 +2025-07-02 19:38:42,182 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0964, loss: 0.0964 +2025-07-02 19:38:57,667 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 19:39:13,215 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1067, loss: 0.1067 +2025-07-02 19:39:28,761 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0661, loss: 0.0661 +2025-07-02 19:39:41,481 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 19:40:04,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:40:04,424 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9970 +2025-07-02 19:40:04,428 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_108.pth was removed +2025-07-02 19:40:04,551 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-07-02 19:40:04,551 - pyskl - INFO - Best top1_acc is 0.9560 at 119 epoch. +2025-07-02 19:40:04,552 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9560, top5_acc: 0.9970 +2025-07-02 19:40:42,465 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:57, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0987, loss: 0.0987 +2025-07-02 19:40:58,121 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 19:41:13,804 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1124, loss: 0.1124 +2025-07-02 19:41:29,428 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 19:41:45,005 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1040, loss: 0.1040 +2025-07-02 19:42:00,546 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0817, loss: 0.0817 +2025-07-02 19:42:16,078 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0945, loss: 0.0945 +2025-07-02 19:42:31,635 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:37:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 19:42:47,258 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 19:43:02,828 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 19:43:18,432 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0821, loss: 0.0821 +2025-07-02 19:43:31,196 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 19:43:53,629 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:43:53,639 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9963 +2025-07-02 19:43:53,639 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9560, top5_acc: 0.9963 +2025-07-02 19:44:31,415 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:46, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0853, loss: 0.0853 +2025-07-02 19:44:46,997 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 19:45:02,694 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 19:45:18,328 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 19:45:33,972 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0953, loss: 0.0953 +2025-07-02 19:45:49,583 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 19:46:05,128 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:34:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 19:46:20,681 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9969, loss_cls: 0.0774, loss: 0.0774 +2025-07-02 19:46:36,265 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 19:46:51,870 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0672, loss: 0.0672 +2025-07-02 19:47:07,432 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:33:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0806, loss: 0.0806 +2025-07-02 19:47:20,199 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 19:47:43,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:47:43,084 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9959 +2025-07-02 19:47:43,085 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9523, top5_acc: 0.9959 +2025-07-02 19:48:21,223 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:34, time: 0.381, data_time: 0.221, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 19:48:36,721 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0717, loss: 0.0717 +2025-07-02 19:48:52,238 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:32:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 19:49:07,818 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 19:49:23,375 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 19:49:38,955 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1085, loss: 0.1085 +2025-07-02 19:49:54,590 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 19:50:10,246 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0937, loss: 0.0937 +2025-07-02 19:50:25,870 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 19:50:41,506 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:30:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0849, loss: 0.0849 +2025-07-02 19:50:57,119 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 19:51:09,879 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 19:51:32,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:51:32,892 - pyskl - INFO - +top1_acc 0.9486 +top5_acc 0.9956 +2025-07-02 19:51:32,893 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9486, top5_acc: 0.9956 +2025-07-02 19:52:10,795 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:22, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 19:52:26,471 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:29:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 19:52:42,106 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0969, loss: 0.0969 +2025-07-02 19:52:57,546 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 19:53:13,033 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0806, loss: 0.0806 +2025-07-02 19:53:28,444 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:28:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 19:53:43,848 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0883, loss: 0.0883 +2025-07-02 19:53:59,334 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0664, loss: 0.0664 +2025-07-02 19:54:14,739 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 19:54:30,182 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 19:54:46,026 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:38, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0608, loss: 0.0608 +2025-07-02 19:54:58,793 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 19:55:21,707 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:55:21,717 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9952 +2025-07-02 19:55:21,718 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9427, top5_acc: 0.9952 +2025-07-02 19:55:59,541 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:11, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0812, loss: 0.0812 +2025-07-02 19:56:15,255 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 19:56:30,915 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 19:56:46,478 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0605, loss: 0.0605 +2025-07-02 19:57:02,219 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:25:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 19:57:17,914 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 19:57:33,559 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 19:57:49,135 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 19:58:04,902 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 19:58:20,486 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 19:58:36,044 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 19:58:48,700 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 19:59:11,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:59:11,570 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9956 +2025-07-02 19:59:11,570 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9519, top5_acc: 0.9956 +2025-07-02 19:59:49,462 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:59, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 20:00:05,135 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0548, loss: 0.0548 +2025-07-02 20:00:20,823 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0607, loss: 0.0607 +2025-07-02 20:00:36,455 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 20:00:52,077 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 20:01:07,726 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0795, loss: 0.0795 +2025-07-02 20:01:23,329 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 20:01:38,930 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:21:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 20:01:54,541 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0618, loss: 0.0618 +2025-07-02 20:02:10,100 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 20:02:25,670 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 20:02:38,437 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 20:03:01,833 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:03:01,843 - pyskl - INFO - +top1_acc 0.9493 +top5_acc 0.9956 +2025-07-02 20:03:01,844 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9493, top5_acc: 0.9956 +2025-07-02 20:03:39,341 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:47, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 20:03:55,077 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 20:04:10,696 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 20:04:26,264 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 20:04:41,794 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 20:04:57,219 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 20:05:12,649 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 20:05:28,115 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 20:05:43,577 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 20:05:59,236 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 20:06:14,808 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:17:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 20:06:27,453 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 20:06:50,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:06:50,030 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9970 +2025-07-02 20:06:50,034 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_119.pth was removed +2025-07-02 20:06:50,147 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2025-07-02 20:06:50,148 - pyskl - INFO - Best top1_acc is 0.9564 at 126 epoch. +2025-07-02 20:06:50,149 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9564, top5_acc: 0.9970 +2025-07-02 20:07:27,512 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:35, time: 0.374, data_time: 0.212, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 20:07:43,015 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 20:07:58,615 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:16:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0673, loss: 0.0673 +2025-07-02 20:08:14,157 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 20:08:29,729 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0655, loss: 0.0655 +2025-07-02 20:08:45,288 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 20:09:00,862 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 20:09:16,404 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 20:09:31,900 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 20:09:47,453 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 20:10:03,032 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 20:10:15,794 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 20:10:38,475 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:10:38,485 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9970 +2025-07-02 20:10:38,486 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9564, top5_acc: 0.9970 +2025-07-02 20:11:15,725 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:23, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 20:11:31,439 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:13:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:11:47,159 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 20:12:02,777 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 20:12:18,397 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0711, loss: 0.0711 +2025-07-02 20:12:33,966 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:12:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0494, loss: 0.0494 +2025-07-02 20:12:49,537 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:13:05,104 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 20:13:20,719 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 20:13:36,290 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 20:13:51,886 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0649, loss: 0.0649 +2025-07-02 20:14:04,656 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 20:14:28,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:14:28,259 - pyskl - INFO - +top1_acc 0.9508 +top5_acc 0.9948 +2025-07-02 20:14:28,260 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9508, top5_acc: 0.9948 +2025-07-02 20:15:06,033 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:11, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:15:21,675 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 20:15:37,384 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 20:15:52,929 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0575, loss: 0.0575 +2025-07-02 20:16:08,445 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:09:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 20:16:23,965 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0544, loss: 0.0544 +2025-07-02 20:16:39,429 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 20:16:54,917 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 20:17:10,433 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:08:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 20:17:25,990 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0642, loss: 0.0642 +2025-07-02 20:17:41,462 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 20:17:54,313 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 20:18:17,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:18:17,641 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9967 +2025-07-02 20:18:17,641 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9534, top5_acc: 0.9967 +2025-07-02 20:18:55,300 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:59, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 20:19:10,957 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 20:19:26,559 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 20:19:42,210 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 20:19:58,057 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 20:20:13,789 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 20:20:29,451 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 20:20:45,100 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:05:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 20:21:00,766 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 20:21:16,517 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:31, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 20:21:32,190 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 20:21:45,049 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 20:22:08,481 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:22:08,492 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9956 +2025-07-02 20:22:08,492 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9534, top5_acc: 0.9956 +2025-07-02 20:22:46,558 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:47, time: 0.381, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 20:23:02,456 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 20:23:18,224 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 20:23:33,871 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 20:23:49,538 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 20:24:05,167 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 20:24:20,735 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 20:24:36,318 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 20:24:51,898 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0706, loss: 0.0706 +2025-07-02 20:25:07,450 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 20:25:23,001 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:01:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0615, loss: 0.0615 +2025-07-02 20:25:35,986 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 20:25:59,114 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:25:59,124 - pyskl - INFO - +top1_acc 0.9504 +top5_acc 0.9956 +2025-07-02 20:25:59,124 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9504, top5_acc: 0.9956 +2025-07-02 20:26:36,784 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:35, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 20:26:52,326 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 20:27:07,988 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 1:00:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 20:27:23,443 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 20:27:38,956 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 20:27:54,556 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0508, loss: 0.0508 +2025-07-02 20:28:10,094 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 20:28:25,614 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 20:28:41,087 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 20:28:56,634 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:29:12,261 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 20:29:25,083 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 20:29:48,535 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:29:48,546 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9963 +2025-07-02 20:29:48,546 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9527, top5_acc: 0.9963 +2025-07-02 20:30:26,502 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:23, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 20:30:42,225 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 20:30:57,788 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 20:31:13,215 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 20:31:28,810 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 20:31:44,395 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:56:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 20:31:59,945 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 20:32:15,447 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 20:32:31,404 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:12, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 20:32:47,211 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 20:33:02,884 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0570, loss: 0.0570 +2025-07-02 20:33:15,815 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 20:33:39,334 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:33:39,344 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9959 +2025-07-02 20:33:39,345 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9516, top5_acc: 0.9959 +2025-07-02 20:34:17,143 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:11, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 20:34:32,684 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 20:34:48,263 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 20:35:03,875 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 20:35:19,460 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 20:35:34,976 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 20:35:50,378 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 20:36:05,773 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 20:36:21,202 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:52:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 20:36:36,610 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 20:36:52,085 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 20:37:04,811 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 20:37:27,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:37:27,842 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9967 +2025-07-02 20:37:27,842 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9564, top5_acc: 0.9967 +2025-07-02 20:38:05,627 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:59, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 20:38:21,270 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 20:38:36,981 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 20:38:52,556 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 20:39:08,165 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 20:39:23,894 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 20:39:39,505 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 20:39:55,002 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:49:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 20:40:10,500 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 20:40:26,024 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 20:40:41,579 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 20:40:54,301 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 20:41:17,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:41:17,741 - pyskl - INFO - +top1_acc 0.9593 +top5_acc 0.9963 +2025-07-02 20:41:17,745 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_126.pth was removed +2025-07-02 20:41:17,869 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 20:41:17,869 - pyskl - INFO - Best top1_acc is 0.9593 at 135 epoch. +2025-07-02 20:41:17,870 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9593, top5_acc: 0.9963 +2025-07-02 20:41:55,575 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:47, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 20:42:11,162 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 20:42:26,766 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9975, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 20:42:42,293 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 20:42:57,819 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 20:43:13,361 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 20:43:28,896 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:43:44,407 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:43:59,955 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 20:44:15,711 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 20:44:31,269 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:45:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 20:44:44,037 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 20:45:07,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:45:07,640 - pyskl - INFO - +top1_acc 0.9556 +top5_acc 0.9967 +2025-07-02 20:45:07,641 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9556, top5_acc: 0.9967 +2025-07-02 20:45:45,625 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:35, time: 0.380, data_time: 0.219, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 20:46:01,234 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 20:46:16,923 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:44:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:46:32,474 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 20:46:47,975 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2025-07-02 20:47:03,432 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 20:47:18,900 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 20:47:34,334 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 20:47:49,777 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 20:48:05,287 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 20:48:20,827 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:48:33,721 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 20:48:57,119 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:48:57,130 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9967 +2025-07-02 20:48:57,131 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9567, top5_acc: 0.9967 +2025-07-02 20:49:34,915 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:23, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 20:49:50,588 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 20:50:06,161 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 20:50:21,635 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 20:50:37,265 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 20:50:52,779 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:40:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 20:51:08,261 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 20:51:23,765 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 20:51:39,232 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:51:54,826 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 20:52:10,386 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 20:52:23,194 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 20:52:46,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:52:46,758 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9952 +2025-07-02 20:52:46,759 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9527, top5_acc: 0.9952 +2025-07-02 20:53:24,661 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:11, time: 0.379, data_time: 0.217, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 20:53:40,230 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 20:53:55,826 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0160, loss: 0.0160 +2025-07-02 20:54:11,366 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 20:54:26,921 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 20:54:42,420 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 20:54:57,943 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 20:55:13,480 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 20:55:29,000 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 20:55:44,532 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 20:56:00,504 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:27, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 20:56:13,323 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 20:56:37,206 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:56:37,217 - pyskl - INFO - +top1_acc 0.9597 +top5_acc 0.9959 +2025-07-02 20:56:37,221 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_135.pth was removed +2025-07-02 20:56:37,342 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-07-02 20:56:37,343 - pyskl - INFO - Best top1_acc is 0.9597 at 139 epoch. +2025-07-02 20:56:37,343 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9597, top5_acc: 0.9959 +2025-07-02 20:57:15,311 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:58, time: 0.380, data_time: 0.221, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:57:30,926 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 20:57:46,532 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 20:58:02,098 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 20:58:17,633 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 20:58:33,192 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 20:58:48,720 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0150, loss: 0.0150 +2025-07-02 20:59:04,262 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 20:59:19,866 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 20:59:35,728 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 20:59:51,238 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 21:00:03,935 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 21:00:27,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:00:27,458 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9967 +2025-07-02 21:00:27,458 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9567, top5_acc: 0.9967 +2025-07-02 21:01:05,569 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:46, time: 0.381, data_time: 0.219, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 21:01:21,319 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 21:01:37,023 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 21:01:52,596 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 21:02:08,021 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 21:02:23,417 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 21:02:38,817 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:08, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 21:02:54,229 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 21:03:09,706 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:03:25,323 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 21:03:40,895 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:29:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 21:03:54,119 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 21:04:17,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:04:17,175 - pyskl - INFO - +top1_acc 0.9593 +top5_acc 0.9959 +2025-07-02 21:04:17,176 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9593, top5_acc: 0.9959 +2025-07-02 21:04:54,936 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:34, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 21:05:10,542 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 21:05:26,189 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:28:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 21:05:41,675 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 21:05:57,388 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 21:06:13,022 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 21:06:28,561 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 21:06:44,118 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 21:06:59,865 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:07:15,275 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 21:07:30,890 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 21:07:43,742 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 21:08:06,341 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:08:06,352 - pyskl - INFO - +top1_acc 0.9571 +top5_acc 0.9963 +2025-07-02 21:08:06,352 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9571, top5_acc: 0.9963 +2025-07-02 21:08:43,832 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:22, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 21:08:59,386 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 21:09:14,948 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 21:09:30,511 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 21:09:46,070 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 21:10:01,634 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:24:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 21:10:17,148 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 21:10:32,691 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 21:10:48,245 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 21:11:03,867 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 21:11:19,451 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 21:11:32,147 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 21:11:54,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:11:54,908 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9959 +2025-07-02 21:11:54,908 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9578, top5_acc: 0.9959 +2025-07-02 21:12:32,674 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:09, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 21:12:48,372 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 21:13:03,981 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 21:13:19,526 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 21:13:35,025 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:13:50,556 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 21:14:06,061 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 21:14:21,571 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 21:14:37,089 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 21:14:52,602 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 21:15:08,056 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 21:15:20,770 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 21:15:43,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:15:43,925 - pyskl - INFO - +top1_acc 0.9589 +top5_acc 0.9959 +2025-07-02 21:15:43,926 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9589, top5_acc: 0.9959 +2025-07-02 21:16:21,724 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:57, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 21:16:37,469 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 21:16:53,059 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 21:17:08,636 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 21:17:24,272 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 21:17:39,885 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 21:17:55,489 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 21:18:11,124 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 21:18:26,755 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 21:18:42,379 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 21:18:57,814 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:14, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 21:19:10,591 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 21:19:34,054 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:19:34,064 - pyskl - INFO - +top1_acc 0.9608 +top5_acc 0.9967 +2025-07-02 21:19:34,068 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_139.pth was removed +2025-07-02 21:19:34,191 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. +2025-07-02 21:19:34,191 - pyskl - INFO - Best top1_acc is 0.9608 at 145 epoch. +2025-07-02 21:19:34,192 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9608, top5_acc: 0.9967 +2025-07-02 21:20:12,008 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:45, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 21:20:27,649 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 21:20:43,317 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 21:20:58,996 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 21:21:14,630 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 21:21:30,275 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 21:21:46,018 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 21:22:01,699 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 21:22:17,366 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 21:22:33,068 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 21:22:49,006 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:01, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 21:23:01,872 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 21:23:25,749 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:23:25,759 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9959 +2025-07-02 21:23:25,760 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9582, top5_acc: 0.9959 +2025-07-02 21:24:03,747 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:33, time: 0.380, data_time: 0.219, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 21:24:19,304 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 21:24:34,939 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:12:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 21:24:50,511 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 21:25:06,130 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 21:25:21,655 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 21:25:37,196 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 21:25:52,736 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 21:26:08,276 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 21:26:23,881 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 21:26:39,425 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 21:26:52,218 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 21:27:15,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:27:15,703 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9963 +2025-07-02 21:27:15,707 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_145.pth was removed +2025-07-02 21:27:15,828 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. +2025-07-02 21:27:15,829 - pyskl - INFO - Best top1_acc is 0.9615 at 147 epoch. +2025-07-02 21:27:15,830 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9615, top5_acc: 0.9963 +2025-07-02 21:27:53,684 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:20, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 21:28:09,332 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 21:28:24,890 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 21:28:40,473 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 21:28:55,932 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 21:29:11,305 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:59, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 21:29:26,772 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 21:29:42,252 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 21:29:57,714 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 21:30:13,192 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 21:30:28,591 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 21:30:41,317 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 21:31:04,855 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:31:04,865 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9967 +2025-07-02 21:31:04,866 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9601, top5_acc: 0.9967 +2025-07-02 21:31:43,009 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:08, time: 0.381, data_time: 0.221, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 21:31:58,616 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 21:32:14,198 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 21:32:29,782 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 21:32:45,367 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 21:33:00,941 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 21:33:16,541 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 21:33:32,120 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0139, loss: 0.0139 +2025-07-02 21:33:47,676 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 21:34:03,262 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 21:34:18,831 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 21:34:31,494 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 21:34:54,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:34:54,799 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9956 +2025-07-02 21:34:54,800 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9560, top5_acc: 0.9956 +2025-07-02 21:35:32,211 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:56, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 21:35:47,730 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 21:36:03,261 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 21:36:19,118 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:07, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 21:36:34,834 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 21:36:50,360 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 21:37:05,909 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 21:37:21,439 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 21:37:37,109 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 21:37:52,653 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 21:38:08,218 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 21:38:20,981 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 21:38:44,237 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:38:44,247 - pyskl - INFO - +top1_acc 0.9586 +top5_acc 0.9963 +2025-07-02 21:38:44,247 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9586, top5_acc: 0.9963 +2025-07-02 21:38:51,129 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 21:40:18,311 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 21:40:18,312 - pyskl - INFO - top1_acc: 0.9608 +2025-07-02 21:40:18,312 - pyskl - INFO - top5_acc: 0.9963 +2025-07-02 21:40:18,312 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/k_2/best_top1_acc_epoch_147.pth +2025-07-02 21:41:46,554 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 21:41:46,554 - pyskl - INFO - top1_acc: 0.9619 +2025-07-02 21:41:46,554 - pyskl - INFO - top5_acc: 0.9967 diff --git a/pku_mmd_xsub/k_2/20250702_120831.log.json b/pku_mmd_xsub/k_2/20250702_120831.log.json new file mode 100644 index 0000000000000000000000000000000000000000..2ff2c9c7b0248ac76c33792ef315741e4b21824c --- /dev/null +++ b/pku_mmd_xsub/k_2/20250702_120831.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. 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diff --git a/pku_mmd_xsub/k_2/best_top1_acc_epoch_147.pth b/pku_mmd_xsub/k_2/best_top1_acc_epoch_147.pth new file mode 100644 index 0000000000000000000000000000000000000000..305351d3d791ca59c936b65761b992bd18c744d1 --- /dev/null +++ b/pku_mmd_xsub/k_2/best_top1_acc_epoch_147.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b88b71fe7b9637738d150439cfee9165e3ff1b90f512fa572cd501258c4f387 +size 32917041 diff --git a/pku_mmd_xsub/k_2/k_2.py b/pku_mmd_xsub/k_2/k_2.py new file mode 100644 index 0000000000000000000000000000000000000000..dc6b664903750adbe7876beb41bac481b4245196 --- /dev/null +++ b/pku_mmd_xsub/k_2/k_2.py @@ -0,0 +1,98 @@ +modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/k_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/k_3/20250702_120913.log b/pku_mmd_xsub/k_3/20250702_120913.log new file mode 100644 index 0000000000000000000000000000000000000000..31dbab83f718f578ec080fb4ddbeceed094865e7 --- /dev/null +++ b/pku_mmd_xsub/k_3/20250702_120913.log @@ -0,0 +1,2826 @@ +2025-07-02 12:09:14,013 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 12:09:14,313 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/k_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 12:09:14,313 - pyskl - INFO - Set random seed to 721585421, deterministic: False +2025-07-02 12:09:18,054 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 12:09:24,516 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 12:09:24,521 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3 +2025-07-02 12:09:24,521 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 12:09:24,521 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 12:09:24,521 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3 by HardDiskBackend. +2025-07-02 12:10:00,256 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:31:40, time: 0.357, data_time: 0.201, memory: 3565, top1_acc: 0.0537, top5_acc: 0.2181, loss_cls: 4.3165, loss: 4.3165 +2025-07-02 12:10:15,316 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:27:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.1019, top5_acc: 0.3925, loss_cls: 3.9133, loss: 3.9133 +2025-07-02 12:10:30,270 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:44:17, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1713, top5_acc: 0.5181, loss_cls: 3.5017, loss: 3.5017 +2025-07-02 12:10:45,343 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:53:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.2219, top5_acc: 0.6769, loss_cls: 3.1305, loss: 3.1305 +2025-07-02 12:11:00,622 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:24:23, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.2894, top5_acc: 0.7319, loss_cls: 2.8959, loss: 2.8959 +2025-07-02 12:11:15,792 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:04:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.3375, top5_acc: 0.7819, loss_cls: 2.6760, loss: 2.6760 +2025-07-02 12:11:30,928 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:49:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.3981, top5_acc: 0.8394, loss_cls: 2.4402, loss: 2.4402 +2025-07-02 12:11:46,084 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:38:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.4163, top5_acc: 0.8356, loss_cls: 2.3846, loss: 2.3846 +2025-07-02 12:12:01,147 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:29:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4775, top5_acc: 0.8756, loss_cls: 2.1668, loss: 2.1668 +2025-07-02 12:12:16,127 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:22:29, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4769, top5_acc: 0.8856, loss_cls: 2.1614, loss: 2.1614 +2025-07-02 12:12:31,273 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:16:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5119, top5_acc: 0.8900, loss_cls: 2.1007, loss: 2.1007 +2025-07-02 12:12:43,588 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 12:13:06,826 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:13:06,836 - pyskl - INFO - +top1_acc 0.5444 +top5_acc 0.9271 +2025-07-02 12:13:06,974 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 12:13:06,974 - pyskl - INFO - Best top1_acc is 0.5444 at 1 epoch. +2025-07-02 12:13:06,975 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.5444, top5_acc: 0.9271 +2025-07-02 12:13:42,863 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:29:18, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.5700, top5_acc: 0.9175, loss_cls: 1.8753, loss: 1.8753 +2025-07-02 12:13:57,911 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:23:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5813, top5_acc: 0.9231, loss_cls: 1.8039, loss: 1.8039 +2025-07-02 12:14:13,093 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:19:36, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6181, top5_acc: 0.9256, loss_cls: 1.7270, loss: 1.7270 +2025-07-02 12:14:28,318 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:15:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6194, top5_acc: 0.9281, loss_cls: 1.6692, loss: 1.6692 +2025-07-02 12:14:43,583 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:12:34, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6269, top5_acc: 0.9263, loss_cls: 1.6819, loss: 1.6819 +2025-07-02 12:14:58,818 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:09:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6394, top5_acc: 0.9331, loss_cls: 1.6314, loss: 1.6314 +2025-07-02 12:15:14,115 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:06:58, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6663, top5_acc: 0.9350, loss_cls: 1.5412, loss: 1.5412 +2025-07-02 12:15:29,348 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:04:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6613, top5_acc: 0.9363, loss_cls: 1.5241, loss: 1.5241 +2025-07-02 12:15:44,593 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 8:02:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6625, top5_acc: 0.9400, loss_cls: 1.5431, loss: 1.5431 +2025-07-02 12:15:59,817 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 8:00:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6656, top5_acc: 0.9394, loss_cls: 1.5226, loss: 1.5226 +2025-07-02 12:16:15,214 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:58:31, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.6669, top5_acc: 0.9475, loss_cls: 1.5159, loss: 1.5159 +2025-07-02 12:16:27,633 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 12:16:50,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:16:50,184 - pyskl - INFO - +top1_acc 0.7041 +top5_acc 0.9612 +2025-07-02 12:16:50,187 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_1.pth was removed +2025-07-02 12:16:50,302 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 12:16:50,303 - pyskl - INFO - Best top1_acc is 0.7041 at 2 epoch. +2025-07-02 12:16:50,304 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.7041, top5_acc: 0.9612 +2025-07-02 12:17:26,349 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:05:59, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.7181, top5_acc: 0.9563, loss_cls: 1.3177, loss: 1.3177 +2025-07-02 12:17:41,577 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 8:04:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7238, top5_acc: 0.9575, loss_cls: 1.3191, loss: 1.3191 +2025-07-02 12:17:56,693 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 8:02:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7037, top5_acc: 0.9444, loss_cls: 1.3875, loss: 1.3875 +2025-07-02 12:18:11,789 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 8:00:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7006, top5_acc: 0.9550, loss_cls: 1.3466, loss: 1.3466 +2025-07-02 12:18:26,858 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:58:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7106, top5_acc: 0.9500, loss_cls: 1.3540, loss: 1.3540 +2025-07-02 12:18:41,950 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:56:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7294, top5_acc: 0.9519, loss_cls: 1.3083, loss: 1.3083 +2025-07-02 12:18:57,020 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:55:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7581, top5_acc: 0.9719, loss_cls: 1.1568, loss: 1.1568 +2025-07-02 12:19:12,086 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:53:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7375, top5_acc: 0.9594, loss_cls: 1.2527, loss: 1.2527 +2025-07-02 12:19:27,104 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:52:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7406, top5_acc: 0.9544, loss_cls: 1.2137, loss: 1.2137 +2025-07-02 12:19:42,189 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:50:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7256, top5_acc: 0.9513, loss_cls: 1.2563, loss: 1.2563 +2025-07-02 12:19:57,369 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:49:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7381, top5_acc: 0.9500, loss_cls: 1.2523, loss: 1.2523 +2025-07-02 12:20:09,737 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 12:20:32,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:20:32,167 - pyskl - INFO - +top1_acc 0.7367 +top5_acc 0.9723 +2025-07-02 12:20:32,170 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_2.pth was removed +2025-07-02 12:20:32,278 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 12:20:32,278 - pyskl - INFO - Best top1_acc is 0.7367 at 3 epoch. +2025-07-02 12:20:32,279 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.7367, top5_acc: 0.9723 +2025-07-02 12:21:07,671 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:54:11, time: 0.354, data_time: 0.204, memory: 3565, top1_acc: 0.7656, top5_acc: 0.9644, loss_cls: 1.1571, loss: 1.1571 +2025-07-02 12:21:22,526 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:52:41, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7688, top5_acc: 0.9637, loss_cls: 1.1260, loss: 1.1260 +2025-07-02 12:21:37,498 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:51:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7519, top5_acc: 0.9656, loss_cls: 1.1799, loss: 1.1799 +2025-07-02 12:21:52,607 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:50:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7725, top5_acc: 0.9694, loss_cls: 1.1130, loss: 1.1130 +2025-07-02 12:22:07,709 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:49:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7856, top5_acc: 0.9569, loss_cls: 1.1143, loss: 1.1143 +2025-07-02 12:22:22,853 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:47:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9625, loss_cls: 1.0939, loss: 1.0939 +2025-07-02 12:22:37,992 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:46:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7944, top5_acc: 0.9694, loss_cls: 1.0164, loss: 1.0164 +2025-07-02 12:22:53,224 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:45:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9675, loss_cls: 1.0592, loss: 1.0592 +2025-07-02 12:23:08,416 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:45:01, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7869, top5_acc: 0.9719, loss_cls: 1.0508, loss: 1.0508 +2025-07-02 12:23:23,604 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:44:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7963, top5_acc: 0.9669, loss_cls: 1.0051, loss: 1.0051 +2025-07-02 12:23:38,799 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:43:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7631, top5_acc: 0.9619, loss_cls: 1.1349, loss: 1.1349 +2025-07-02 12:23:51,101 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 12:24:13,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:24:13,773 - pyskl - INFO - +top1_acc 0.7482 +top5_acc 0.9767 +2025-07-02 12:24:13,777 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_3.pth was removed +2025-07-02 12:24:13,898 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 12:24:13,898 - pyskl - INFO - Best top1_acc is 0.7482 at 4 epoch. +2025-07-02 12:24:13,899 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.7482, top5_acc: 0.9767 +2025-07-02 12:24:49,693 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:46:56, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.7700, top5_acc: 0.9694, loss_cls: 1.0733, loss: 1.0733 +2025-07-02 12:25:04,945 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:46:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9619, loss_cls: 1.0753, loss: 1.0753 +2025-07-02 12:25:20,257 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:45:14, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9725, loss_cls: 0.9485, loss: 0.9485 +2025-07-02 12:25:35,408 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:44:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7906, top5_acc: 0.9613, loss_cls: 1.0500, loss: 1.0500 +2025-07-02 12:25:50,708 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:43:34, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9806, loss_cls: 0.9652, loss: 0.9652 +2025-07-02 12:26:05,762 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:42:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7925, top5_acc: 0.9675, loss_cls: 1.0305, loss: 1.0305 +2025-07-02 12:26:20,974 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:41:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9712, loss_cls: 0.9510, loss: 0.9510 +2025-07-02 12:26:36,188 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:41:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8106, top5_acc: 0.9738, loss_cls: 0.9570, loss: 0.9570 +2025-07-02 12:26:51,442 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:40:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9769, loss_cls: 0.9757, loss: 0.9757 +2025-07-02 12:27:06,612 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:39:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7963, top5_acc: 0.9675, loss_cls: 1.0140, loss: 1.0140 +2025-07-02 12:27:21,841 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:38:54, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9712, loss_cls: 0.9641, loss: 0.9641 +2025-07-02 12:27:34,418 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 12:27:56,990 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:27:57,000 - pyskl - INFO - +top1_acc 0.8347 +top5_acc 0.9848 +2025-07-02 12:27:57,004 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_4.pth was removed +2025-07-02 12:27:57,118 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 12:27:57,118 - pyskl - INFO - Best top1_acc is 0.8347 at 5 epoch. +2025-07-02 12:27:57,119 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.8347, top5_acc: 0.9848 +2025-07-02 12:28:33,208 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:41:57, time: 0.361, data_time: 0.208, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9769, loss_cls: 0.8696, loss: 0.8696 +2025-07-02 12:28:48,299 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:41:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8187, top5_acc: 0.9744, loss_cls: 0.9237, loss: 0.9237 +2025-07-02 12:29:03,497 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:40:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9756, loss_cls: 0.8274, loss: 0.8274 +2025-07-02 12:29:18,568 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:39:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7825, top5_acc: 0.9694, loss_cls: 1.0302, loss: 1.0302 +2025-07-02 12:29:33,763 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:38:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9738, loss_cls: 0.9186, loss: 0.9186 +2025-07-02 12:29:48,942 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:38:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8094, top5_acc: 0.9719, loss_cls: 0.9150, loss: 0.9150 +2025-07-02 12:30:04,105 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:37:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9788, loss_cls: 0.9280, loss: 0.9280 +2025-07-02 12:30:19,289 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:36:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9719, loss_cls: 0.9129, loss: 0.9129 +2025-07-02 12:30:34,335 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:36:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9719, loss_cls: 0.9392, loss: 0.9392 +2025-07-02 12:30:49,433 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:35:26, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7956, top5_acc: 0.9744, loss_cls: 0.9669, loss: 0.9669 +2025-07-02 12:31:04,459 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:34:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9719, loss_cls: 0.9083, loss: 0.9083 +2025-07-02 12:31:16,708 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 12:31:39,556 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:31:39,566 - pyskl - INFO - +top1_acc 0.8214 +top5_acc 0.9911 +2025-07-02 12:31:39,567 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.8214, top5_acc: 0.9911 +2025-07-02 12:32:15,615 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:37:11, time: 0.360, data_time: 0.207, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9769, loss_cls: 0.8137, loss: 0.8137 +2025-07-02 12:32:30,495 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:36:25, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9750, loss_cls: 0.8464, loss: 0.8464 +2025-07-02 12:32:45,508 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:35:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 0.8716, loss: 0.8716 +2025-07-02 12:33:00,467 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:34:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 0.8392, loss: 0.8392 +2025-07-02 12:33:15,679 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:34:23, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9850, loss_cls: 0.8379, loss: 0.8379 +2025-07-02 12:33:30,848 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:33:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9794, loss_cls: 0.9043, loss: 0.9043 +2025-07-02 12:33:45,879 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:33:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9719, loss_cls: 0.8303, loss: 0.8303 +2025-07-02 12:34:00,947 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:32:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 0.8152, loss: 0.8152 +2025-07-02 12:34:16,086 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:31:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8231, top5_acc: 0.9756, loss_cls: 0.8643, loss: 0.8643 +2025-07-02 12:34:31,228 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:31:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9669, loss_cls: 0.9066, loss: 0.9066 +2025-07-02 12:34:46,318 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:30:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9756, loss_cls: 0.8566, loss: 0.8566 +2025-07-02 12:34:58,602 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 12:35:21,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:35:21,466 - pyskl - INFO - +top1_acc 0.8554 +top5_acc 0.9867 +2025-07-02 12:35:21,469 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_5.pth was removed +2025-07-02 12:35:21,579 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 12:35:21,580 - pyskl - INFO - Best top1_acc is 0.8554 at 7 epoch. +2025-07-02 12:35:21,580 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.8554, top5_acc: 0.9867 +2025-07-02 12:35:56,883 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:32:28, time: 0.353, data_time: 0.202, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9781, loss_cls: 0.8717, loss: 0.8717 +2025-07-02 12:36:12,036 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:31:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 0.8466, loss: 0.8466 +2025-07-02 12:36:27,229 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:31:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9850, loss_cls: 0.7889, loss: 0.7889 +2025-07-02 12:36:42,330 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:30:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 0.8413, loss: 0.8413 +2025-07-02 12:36:57,527 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:30:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9769, loss_cls: 0.8290, loss: 0.8290 +2025-07-02 12:37:12,816 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:29:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9806, loss_cls: 0.8043, loss: 0.8043 +2025-07-02 12:37:28,030 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:29:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9806, loss_cls: 0.7834, loss: 0.7834 +2025-07-02 12:37:43,189 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:28:33, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 0.8216, loss: 0.8216 +2025-07-02 12:37:58,293 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:28:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9800, loss_cls: 0.7858, loss: 0.7858 +2025-07-02 12:38:13,400 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:27:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 0.7378, loss: 0.7378 +2025-07-02 12:38:28,525 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:26:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 0.8096, loss: 0.8096 +2025-07-02 12:38:40,889 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 12:39:03,563 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:39:03,573 - pyskl - INFO - +top1_acc 0.8388 +top5_acc 0.9908 +2025-07-02 12:39:03,574 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.8388, top5_acc: 0.9908 +2025-07-02 12:39:39,364 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:28:33, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 0.7796, loss: 0.7796 +2025-07-02 12:39:54,418 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:27:59, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9806, loss_cls: 0.7899, loss: 0.7899 +2025-07-02 12:40:09,563 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:27:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9769, loss_cls: 0.7470, loss: 0.7470 +2025-07-02 12:40:24,515 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:26:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9750, loss_cls: 0.7907, loss: 0.7907 +2025-07-02 12:40:39,722 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:26:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9788, loss_cls: 0.7564, loss: 0.7564 +2025-07-02 12:40:54,951 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:25:51, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9806, loss_cls: 0.8129, loss: 0.8129 +2025-07-02 12:41:10,189 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:25:22, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 0.7507, loss: 0.7507 +2025-07-02 12:41:25,462 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:24:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 0.7909, loss: 0.7909 +2025-07-02 12:41:40,742 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:24:25, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8287, top5_acc: 0.9731, loss_cls: 0.8644, loss: 0.8644 +2025-07-02 12:41:55,967 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:23:56, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9744, loss_cls: 0.8046, loss: 0.8046 +2025-07-02 12:42:11,273 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:23:29, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9788, loss_cls: 0.8341, loss: 0.8341 +2025-07-02 12:42:23,947 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 12:42:46,698 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:42:46,709 - pyskl - INFO - +top1_acc 0.8609 +top5_acc 0.9930 +2025-07-02 12:42:46,712 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_7.pth was removed +2025-07-02 12:42:46,829 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 12:42:46,830 - pyskl - INFO - Best top1_acc is 0.8609 at 9 epoch. +2025-07-02 12:42:46,830 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.8609, top5_acc: 0.9930 +2025-07-02 12:43:22,728 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:24:55, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9775, loss_cls: 0.7465, loss: 0.7465 +2025-07-02 12:43:37,825 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:24:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 0.7733, loss: 0.7733 +2025-07-02 12:43:52,835 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:23:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 0.7703, loss: 0.7703 +2025-07-02 12:44:07,909 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:23:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9781, loss_cls: 0.8241, loss: 0.8241 +2025-07-02 12:44:22,955 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:22:49, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9788, loss_cls: 0.7324, loss: 0.7324 +2025-07-02 12:44:38,044 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:22:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9800, loss_cls: 0.8092, loss: 0.8092 +2025-07-02 12:44:53,152 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:21:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 0.7006, loss: 0.7006 +2025-07-02 12:45:08,275 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:21:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9831, loss_cls: 0.7651, loss: 0.7651 +2025-07-02 12:45:23,415 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:20:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9781, loss_cls: 0.7100, loss: 0.7100 +2025-07-02 12:45:38,569 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:20:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 0.7344, loss: 0.7344 +2025-07-02 12:45:53,481 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:19:52, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 0.7988, loss: 0.7988 +2025-07-02 12:46:05,830 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 12:46:28,107 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:46:28,117 - pyskl - INFO - +top1_acc 0.8362 +top5_acc 0.9871 +2025-07-02 12:46:28,117 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.8362, top5_acc: 0.9871 +2025-07-02 12:47:03,540 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:21:00, time: 0.354, data_time: 0.205, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9881, loss_cls: 0.7301, loss: 0.7301 +2025-07-02 12:47:18,482 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:20:29, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9869, loss_cls: 0.7249, loss: 0.7249 +2025-07-02 12:47:33,457 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:19:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9850, loss_cls: 0.7093, loss: 0.7093 +2025-07-02 12:47:48,564 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:19:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 0.7167, loss: 0.7167 +2025-07-02 12:48:03,646 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:19:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9819, loss_cls: 0.7392, loss: 0.7392 +2025-07-02 12:48:18,743 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:18:32, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9762, loss_cls: 0.7805, loss: 0.7805 +2025-07-02 12:48:33,825 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:18:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 0.7733, loss: 0.7733 +2025-07-02 12:48:48,755 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:17:34, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9769, loss_cls: 0.7681, loss: 0.7681 +2025-07-02 12:49:03,698 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:17:05, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6896, loss: 0.6896 +2025-07-02 12:49:18,716 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:16:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7726, loss: 0.7726 +2025-07-02 12:49:33,790 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:16:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9788, loss_cls: 0.7400, loss: 0.7400 +2025-07-02 12:49:46,083 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 12:50:08,704 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:50:08,714 - pyskl - INFO - +top1_acc 0.8550 +top5_acc 0.9893 +2025-07-02 12:50:08,715 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8550, top5_acc: 0.9893 +2025-07-02 12:50:44,468 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:17:12, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 0.7206, loss: 0.7206 +2025-07-02 12:50:59,605 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:16:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 0.6918, loss: 0.6918 +2025-07-02 12:51:14,731 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:16:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 0.6492, loss: 0.6492 +2025-07-02 12:51:29,878 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:15:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 0.7436, loss: 0.7436 +2025-07-02 12:51:45,008 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:15:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 0.6818, loss: 0.6818 +2025-07-02 12:52:00,060 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:14:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9844, loss_cls: 0.7119, loss: 0.7119 +2025-07-02 12:52:15,158 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:14:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 0.7309, loss: 0.7309 +2025-07-02 12:52:30,123 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:14:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.7302, loss: 0.7302 +2025-07-02 12:52:45,181 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:13:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9806, loss_cls: 0.7716, loss: 0.7716 +2025-07-02 12:53:00,325 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:13:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7226, loss: 0.7226 +2025-07-02 12:53:15,451 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:12:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 0.7034, loss: 0.7034 +2025-07-02 12:53:27,888 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 12:53:50,441 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:53:50,451 - pyskl - INFO - +top1_acc 0.8928 +top5_acc 0.9937 +2025-07-02 12:53:50,457 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_9.pth was removed +2025-07-02 12:53:50,576 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-02 12:53:50,576 - pyskl - INFO - Best top1_acc is 0.8928 at 12 epoch. +2025-07-02 12:53:50,577 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.8928, top5_acc: 0.9937 +2025-07-02 12:54:27,195 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:13:49, time: 0.366, data_time: 0.211, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 0.6732, loss: 0.6732 +2025-07-02 12:54:42,428 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:13:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9850, loss_cls: 0.7200, loss: 0.7200 +2025-07-02 12:54:57,659 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:12:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 0.6242, loss: 0.6242 +2025-07-02 12:55:12,908 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:12:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9738, loss_cls: 0.7609, loss: 0.7609 +2025-07-02 12:55:28,072 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:12:09, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.6756, loss: 0.6756 +2025-07-02 12:55:43,255 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:11:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 0.7234, loss: 0.7234 +2025-07-02 12:55:58,452 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:11:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 0.6447, loss: 0.6447 +2025-07-02 12:56:13,621 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:10:55, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 0.7464, loss: 0.7464 +2025-07-02 12:56:28,770 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:10:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 0.7604, loss: 0.7604 +2025-07-02 12:56:43,809 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:10:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6526, loss: 0.6526 +2025-07-02 12:56:58,874 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:09:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 0.7185, loss: 0.7185 +2025-07-02 12:57:11,135 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 12:57:33,816 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:57:33,826 - pyskl - INFO - +top1_acc 0.8595 +top5_acc 0.9911 +2025-07-02 12:57:33,827 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8595, top5_acc: 0.9911 +2025-07-02 12:58:10,167 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:10:32, time: 0.363, data_time: 0.213, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6175, loss: 0.6175 +2025-07-02 12:58:25,256 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:10:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9869, loss_cls: 0.6733, loss: 0.6733 +2025-07-02 12:58:40,362 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:09:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 0.6677, loss: 0.6677 +2025-07-02 12:58:55,460 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:09:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 0.7311, loss: 0.7311 +2025-07-02 12:59:10,498 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:08:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 0.7091, loss: 0.7091 +2025-07-02 12:59:25,530 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:08:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9812, loss_cls: 0.7480, loss: 0.7480 +2025-07-02 12:59:40,646 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:08:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9825, loss_cls: 0.7059, loss: 0.7059 +2025-07-02 12:59:55,746 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:07:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 0.6793, loss: 0.6793 +2025-07-02 13:00:11,049 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:07:12, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9869, loss_cls: 0.6622, loss: 0.6622 +2025-07-02 13:00:26,200 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:06:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.6220, loss: 0.6220 +2025-07-02 13:00:41,446 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:06:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9825, loss_cls: 0.7222, loss: 0.7222 +2025-07-02 13:00:53,768 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 13:01:16,406 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:01:16,416 - pyskl - INFO - +top1_acc 0.8894 +top5_acc 0.9930 +2025-07-02 13:01:16,416 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8894, top5_acc: 0.9930 +2025-07-02 13:01:53,067 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:07:16, time: 0.366, data_time: 0.216, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 0.6772, loss: 0.6772 +2025-07-02 13:02:08,323 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:06:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 0.6712, loss: 0.6712 +2025-07-02 13:02:23,659 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:06:31, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 0.6689, loss: 0.6689 +2025-07-02 13:02:38,859 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:06:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9881, loss_cls: 0.6464, loss: 0.6464 +2025-07-02 13:02:54,187 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:05:45, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 0.6425, loss: 0.6425 +2025-07-02 13:03:09,311 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:05:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9856, loss_cls: 0.6521, loss: 0.6521 +2025-07-02 13:03:24,467 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:04:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 0.7173, loss: 0.7173 +2025-07-02 13:03:39,561 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:04:33, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6256, loss: 0.6256 +2025-07-02 13:03:54,679 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:04:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 0.6385, loss: 0.6385 +2025-07-02 13:04:09,775 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:03:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 0.6938, loss: 0.6938 +2025-07-02 13:04:24,876 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:03:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.7195, loss: 0.7195 +2025-07-02 13:04:37,267 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 13:05:00,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:05:00,068 - pyskl - INFO - +top1_acc 0.8521 +top5_acc 0.9882 +2025-07-02 13:05:00,068 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.8521, top5_acc: 0.9882 +2025-07-02 13:05:36,634 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:04:05, time: 0.366, data_time: 0.215, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5592, loss: 0.5592 +2025-07-02 13:05:51,829 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:03:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6274, loss: 0.6274 +2025-07-02 13:06:06,963 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:03:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9838, loss_cls: 0.6746, loss: 0.6746 +2025-07-02 13:06:22,066 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:02:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 0.6200, loss: 0.6200 +2025-07-02 13:06:37,457 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:02:33, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6527, loss: 0.6527 +2025-07-02 13:06:52,636 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:02:10, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 0.7205, loss: 0.7205 +2025-07-02 13:07:07,837 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:01:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.6147, loss: 0.6147 +2025-07-02 13:07:22,983 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 7:01:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 0.6839, loss: 0.6839 +2025-07-02 13:07:38,067 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 7:01:01, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6462, loss: 0.6462 +2025-07-02 13:07:53,418 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 7:00:39, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 0.6765, loss: 0.6765 +2025-07-02 13:08:08,618 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 7:00:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9875, loss_cls: 0.6694, loss: 0.6694 +2025-07-02 13:08:21,077 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 13:08:43,988 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:08:43,998 - pyskl - INFO - +top1_acc 0.8920 +top5_acc 0.9930 +2025-07-02 13:08:43,998 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.8920, top5_acc: 0.9930 +2025-07-02 13:09:20,711 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 7:00:58, time: 0.367, data_time: 0.217, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 0.6995, loss: 0.6995 +2025-07-02 13:09:35,834 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 7:00:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6542, loss: 0.6542 +2025-07-02 13:09:50,969 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 7:00:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5771, loss: 0.5771 +2025-07-02 13:10:06,258 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:59:49, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 0.6820, loss: 0.6820 +2025-07-02 13:10:21,454 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:59:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9900, loss_cls: 0.6250, loss: 0.6250 +2025-07-02 13:10:36,486 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:59:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6483, loss: 0.6483 +2025-07-02 13:10:51,440 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:58:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9781, loss_cls: 0.6198, loss: 0.6198 +2025-07-02 13:11:06,467 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:58:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6415, loss: 0.6415 +2025-07-02 13:11:21,492 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:57:51, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 0.6443, loss: 0.6443 +2025-07-02 13:11:36,619 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:57:29, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 13:11:51,881 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:57:07, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8769, top5_acc: 0.9881, loss_cls: 0.6277, loss: 0.6277 +2025-07-02 13:12:04,246 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 13:12:26,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:12:26,847 - pyskl - INFO - +top1_acc 0.8506 +top5_acc 0.9852 +2025-07-02 13:12:26,847 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.8506, top5_acc: 0.9852 +2025-07-02 13:13:04,441 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:57:50, time: 0.376, data_time: 0.224, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 0.6555, loss: 0.6555 +2025-07-02 13:13:19,785 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:57:29, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6268, loss: 0.6268 +2025-07-02 13:13:35,151 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:57:08, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9906, loss_cls: 0.6283, loss: 0.6283 +2025-07-02 13:13:50,343 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:56:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.5403, loss: 0.5403 +2025-07-02 13:14:05,812 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:56:26, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9900, loss_cls: 0.6493, loss: 0.6493 +2025-07-02 13:14:21,093 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:56:04, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 0.6846, loss: 0.6846 +2025-07-02 13:14:36,269 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:55:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9806, loss_cls: 0.6443, loss: 0.6443 +2025-07-02 13:14:51,327 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:55:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.6142, loss: 0.6142 +2025-07-02 13:15:06,377 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:54:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 0.6304, loss: 0.6304 +2025-07-02 13:15:21,538 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:54:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9762, loss_cls: 0.7246, loss: 0.7246 +2025-07-02 13:15:36,624 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:54:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.6573, loss: 0.6573 +2025-07-02 13:15:49,183 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 13:16:12,004 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:16:12,015 - pyskl - INFO - +top1_acc 0.8698 +top5_acc 0.9911 +2025-07-02 13:16:12,016 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.8698, top5_acc: 0.9911 +2025-07-02 13:16:48,610 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:54:42, time: 0.366, data_time: 0.215, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 0.5843, loss: 0.5843 +2025-07-02 13:17:03,810 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:54:21, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.6112, loss: 0.6112 +2025-07-02 13:17:18,983 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:53:59, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.5763, loss: 0.5763 +2025-07-02 13:17:34,106 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:53:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6404, loss: 0.6404 +2025-07-02 13:17:49,458 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:53:16, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9844, loss_cls: 0.6169, loss: 0.6169 +2025-07-02 13:18:04,900 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:52:56, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.6042, loss: 0.6042 +2025-07-02 13:18:20,237 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:52:35, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9794, loss_cls: 0.6775, loss: 0.6775 +2025-07-02 13:18:35,524 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:52:14, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 0.6595, loss: 0.6595 +2025-07-02 13:18:50,779 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:51:53, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 0.6929, loss: 0.6929 +2025-07-02 13:19:06,082 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:51:32, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6359, loss: 0.6359 +2025-07-02 13:19:21,261 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:51:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.5903, loss: 0.5903 +2025-07-02 13:19:33,658 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 13:19:56,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:19:56,226 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9963 +2025-07-02 13:19:56,229 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_12.pth was removed +2025-07-02 13:19:56,347 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-02 13:19:56,348 - pyskl - INFO - Best top1_acc is 0.8931 at 19 epoch. +2025-07-02 13:19:56,349 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.8931, top5_acc: 0.9963 +2025-07-02 13:20:32,449 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:51:35, time: 0.361, data_time: 0.210, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 0.5848, loss: 0.5848 +2025-07-02 13:20:47,801 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:51:14, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9850, loss_cls: 0.5735, loss: 0.5735 +2025-07-02 13:21:03,230 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:50:54, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 0.6656, loss: 0.6656 +2025-07-02 13:21:18,487 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:50:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6414, loss: 0.6414 +2025-07-02 13:21:33,521 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:50:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8719, top5_acc: 0.9875, loss_cls: 0.6110, loss: 0.6110 +2025-07-02 13:21:48,604 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:49:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 0.6092, loss: 0.6092 +2025-07-02 13:22:03,619 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:49:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5149, loss: 0.5149 +2025-07-02 13:22:18,656 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:49:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9794, loss_cls: 0.6755, loss: 0.6755 +2025-07-02 13:22:33,736 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:48:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9806, loss_cls: 0.6630, loss: 0.6630 +2025-07-02 13:22:48,823 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:48:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 0.5816, loss: 0.5816 +2025-07-02 13:23:03,946 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:47:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 0.6412, loss: 0.6412 +2025-07-02 13:23:16,354 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 13:23:39,239 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:23:39,249 - pyskl - INFO - +top1_acc 0.8680 +top5_acc 0.9893 +2025-07-02 13:23:39,249 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8680, top5_acc: 0.9893 +2025-07-02 13:24:15,727 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:48:22, time: 0.365, data_time: 0.213, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 0.5824, loss: 0.5824 +2025-07-02 13:24:30,929 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:48:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5676, loss: 0.5676 +2025-07-02 13:24:46,136 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:47:39, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 0.6087, loss: 0.6087 +2025-07-02 13:25:01,368 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:47:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9800, loss_cls: 0.5991, loss: 0.5991 +2025-07-02 13:25:16,613 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:46:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6104, loss: 0.6104 +2025-07-02 13:25:31,867 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:46:37, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9900, loss_cls: 0.6066, loss: 0.6066 +2025-07-02 13:25:46,987 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:46:15, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 0.6226, loss: 0.6226 +2025-07-02 13:26:02,033 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:45:54, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 0.5849, loss: 0.5849 +2025-07-02 13:26:17,074 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:45:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.5756, loss: 0.5756 +2025-07-02 13:26:32,540 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:45:12, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 0.6569, loss: 0.6569 +2025-07-02 13:26:47,820 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:44:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.6229, loss: 0.6229 +2025-07-02 13:27:00,176 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 13:27:22,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:27:22,888 - pyskl - INFO - +top1_acc 0.8654 +top5_acc 0.9933 +2025-07-02 13:27:22,888 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8654, top5_acc: 0.9933 +2025-07-02 13:27:59,179 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:45:12, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9825, loss_cls: 0.6002, loss: 0.6002 +2025-07-02 13:28:14,240 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:44:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9856, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 13:28:29,347 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:44:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 13:28:44,641 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:44:08, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5349, loss: 0.5349 +2025-07-02 13:28:59,860 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:43:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6074, loss: 0.6074 +2025-07-02 13:29:15,314 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:43:28, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9856, loss_cls: 0.5811, loss: 0.5811 +2025-07-02 13:29:30,411 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:43:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.5639, loss: 0.5639 +2025-07-02 13:29:45,486 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:42:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9794, loss_cls: 0.6709, loss: 0.6709 +2025-07-02 13:30:00,490 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:42:24, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.5719, loss: 0.5719 +2025-07-02 13:30:15,512 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:42:02, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.5996, loss: 0.5996 +2025-07-02 13:30:30,520 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:41:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.6383, loss: 0.6383 +2025-07-02 13:30:42,807 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 13:31:05,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:31:05,525 - pyskl - INFO - +top1_acc 0.8783 +top5_acc 0.9874 +2025-07-02 13:31:05,526 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8783, top5_acc: 0.9874 +2025-07-02 13:31:41,850 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:41:58, time: 0.363, data_time: 0.212, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6062, loss: 0.6062 +2025-07-02 13:31:57,091 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:41:37, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.5423, loss: 0.5423 +2025-07-02 13:32:12,159 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:41:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9819, loss_cls: 0.6029, loss: 0.6029 +2025-07-02 13:32:27,262 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:40:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6403, loss: 0.6403 +2025-07-02 13:32:42,343 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:40:34, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9831, loss_cls: 0.5561, loss: 0.5561 +2025-07-02 13:32:57,336 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:40:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.5272, loss: 0.5272 +2025-07-02 13:33:12,287 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:39:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5630, loss: 0.5630 +2025-07-02 13:33:27,269 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:39:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5866, loss: 0.5866 +2025-07-02 13:33:42,257 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:39:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9812, loss_cls: 0.5703, loss: 0.5703 +2025-07-02 13:33:57,313 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:38:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.5454, loss: 0.5454 +2025-07-02 13:34:12,431 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:38:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9800, loss_cls: 0.6359, loss: 0.6359 +2025-07-02 13:34:24,682 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 13:34:46,959 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:34:46,969 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9915 +2025-07-02 13:34:46,973 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_19.pth was removed +2025-07-02 13:34:47,081 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-02 13:34:47,081 - pyskl - INFO - Best top1_acc is 0.8976 at 23 epoch. +2025-07-02 13:34:47,082 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8976, top5_acc: 0.9915 +2025-07-02 13:35:23,480 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:38:40, time: 0.364, data_time: 0.212, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 0.5874, loss: 0.5874 +2025-07-02 13:35:38,686 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:38:20, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9012, top5_acc: 0.9844, loss_cls: 0.5388, loss: 0.5388 +2025-07-02 13:35:53,865 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:38:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6141, loss: 0.6141 +2025-07-02 13:36:09,223 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:37:40, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5784, loss: 0.5784 +2025-07-02 13:36:24,277 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:37:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.6327, loss: 0.6327 +2025-07-02 13:36:39,341 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:36:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.5949, loss: 0.5949 +2025-07-02 13:36:54,626 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:36:38, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 0.5681, loss: 0.5681 +2025-07-02 13:37:09,720 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:36:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9794, loss_cls: 0.6451, loss: 0.6451 +2025-07-02 13:37:24,726 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:35:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.5374, loss: 0.5374 +2025-07-02 13:37:39,835 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:35:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9838, loss_cls: 0.5541, loss: 0.5541 +2025-07-02 13:37:54,858 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:35:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9838, loss_cls: 0.5849, loss: 0.5849 +2025-07-02 13:38:07,184 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 13:38:30,168 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:38:30,178 - pyskl - INFO - +top1_acc 0.8857 +top5_acc 0.9930 +2025-07-02 13:38:30,179 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.8857, top5_acc: 0.9930 +2025-07-02 13:39:06,887 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:35:30, time: 0.367, data_time: 0.214, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6104, loss: 0.6104 +2025-07-02 13:39:22,015 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:35:09, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.5888, loss: 0.5888 +2025-07-02 13:39:37,090 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:34:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5554, loss: 0.5554 +2025-07-02 13:39:52,277 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:34:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.6151, loss: 0.6151 +2025-07-02 13:40:07,423 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:34:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9838, loss_cls: 0.5961, loss: 0.5961 +2025-07-02 13:40:22,460 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:33:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.4887, loss: 0.4887 +2025-07-02 13:40:37,543 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:33:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8900, top5_acc: 0.9919, loss_cls: 0.5069, loss: 0.5069 +2025-07-02 13:40:52,599 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:33:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.5499, loss: 0.5499 +2025-07-02 13:41:07,729 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:32:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 0.5631, loss: 0.5631 +2025-07-02 13:41:23,207 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:32:27, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5801, loss: 0.5801 +2025-07-02 13:41:38,331 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:32:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 13:41:50,688 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 13:42:13,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:42:13,336 - pyskl - INFO - +top1_acc 0.8547 +top5_acc 0.9908 +2025-07-02 13:42:13,336 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.8547, top5_acc: 0.9908 +2025-07-02 13:42:49,778 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:32:18, time: 0.364, data_time: 0.214, memory: 3565, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 13:43:04,919 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:31:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5521, loss: 0.5521 +2025-07-02 13:43:20,109 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:31:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 0.5658, loss: 0.5658 +2025-07-02 13:43:35,319 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:31:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 0.5975, loss: 0.5975 +2025-07-02 13:43:50,475 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:30:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9812, loss_cls: 0.6250, loss: 0.6250 +2025-07-02 13:44:05,646 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:30:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 0.5702, loss: 0.5702 +2025-07-02 13:44:20,662 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:30:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.5114, loss: 0.5114 +2025-07-02 13:44:35,625 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:29:57, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5251, loss: 0.5251 +2025-07-02 13:44:50,601 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:29:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 0.5429, loss: 0.5429 +2025-07-02 13:45:05,669 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:29:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5634, loss: 0.5634 +2025-07-02 13:45:20,752 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:28:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.5892, loss: 0.5892 +2025-07-02 13:45:33,098 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 13:45:55,924 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:45:55,935 - pyskl - INFO - +top1_acc 0.8654 +top5_acc 0.9896 +2025-07-02 13:45:55,935 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8654, top5_acc: 0.9896 +2025-07-02 13:46:32,109 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:29:04, time: 0.362, data_time: 0.209, memory: 3565, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.5099, loss: 0.5099 +2025-07-02 13:46:47,493 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:28:45, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5584, loss: 0.5584 +2025-07-02 13:47:02,533 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:28:25, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5290, loss: 0.5290 +2025-07-02 13:47:17,778 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:28:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 0.5698, loss: 0.5698 +2025-07-02 13:47:32,935 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:27:45, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 0.5748, loss: 0.5748 +2025-07-02 13:47:48,111 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:27:25, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 0.5702, loss: 0.5702 +2025-07-02 13:48:03,299 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:27:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.5002, loss: 0.5002 +2025-07-02 13:48:18,490 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:26:46, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.5215, loss: 0.5215 +2025-07-02 13:48:33,703 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:26:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 0.5213, loss: 0.5213 +2025-07-02 13:48:48,945 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:26:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9844, loss_cls: 0.5661, loss: 0.5661 +2025-07-02 13:49:04,187 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:25:48, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.5344, loss: 0.5344 +2025-07-02 13:49:16,533 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 13:49:39,128 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:49:39,138 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9926 +2025-07-02 13:49:39,138 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.8768, top5_acc: 0.9926 +2025-07-02 13:50:15,246 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:25:55, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.5615, loss: 0.5615 +2025-07-02 13:50:30,226 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:25:34, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.5787, loss: 0.5787 +2025-07-02 13:50:45,332 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:25:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 0.5690, loss: 0.5690 +2025-07-02 13:51:00,680 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:24:55, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.5841, loss: 0.5841 +2025-07-02 13:51:15,936 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:24:36, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 13:51:31,060 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:24:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5711, loss: 0.5711 +2025-07-02 13:51:46,112 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:23:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5729, loss: 0.5729 +2025-07-02 13:52:01,155 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:23:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 0.5182, loss: 0.5182 +2025-07-02 13:52:16,297 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:23:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5476, loss: 0.5476 +2025-07-02 13:52:31,723 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:22:58, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5155, loss: 0.5155 +2025-07-02 13:52:46,981 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:22:39, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8912, top5_acc: 0.9862, loss_cls: 0.5554, loss: 0.5554 +2025-07-02 13:52:59,415 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 13:53:22,099 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:53:22,110 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9896 +2025-07-02 13:53:22,110 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8802, top5_acc: 0.9896 +2025-07-02 13:53:58,530 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:22:45, time: 0.364, data_time: 0.213, memory: 3565, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4958, loss: 0.4958 +2025-07-02 13:54:13,903 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:22:26, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5356, loss: 0.5356 +2025-07-02 13:54:29,128 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:22:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5249, loss: 0.5249 +2025-07-02 13:54:44,274 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:21:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5015, loss: 0.5015 +2025-07-02 13:54:59,427 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:21:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.5843, loss: 0.5843 +2025-07-02 13:55:14,561 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:21:08, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 13:55:29,719 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:20:49, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 13:55:44,918 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:20:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9850, loss_cls: 0.5531, loss: 0.5531 +2025-07-02 13:56:00,172 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:20:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5340, loss: 0.5340 +2025-07-02 13:56:15,639 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:19:53, time: 0.155, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 13:56:30,989 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:19:34, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5542, loss: 0.5542 +2025-07-02 13:56:43,574 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 13:57:06,259 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:57:06,269 - pyskl - INFO - +top1_acc 0.8643 +top5_acc 0.9915 +2025-07-02 13:57:06,269 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8643, top5_acc: 0.9915 +2025-07-02 13:57:43,266 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:19:41, time: 0.370, data_time: 0.212, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9800, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 13:57:58,933 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:19:24, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5324, loss: 0.5324 +2025-07-02 13:58:14,618 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:19:07, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5273, loss: 0.5273 +2025-07-02 13:58:30,341 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:18:49, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5544, loss: 0.5544 +2025-07-02 13:58:46,177 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:18:33, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8962, top5_acc: 0.9912, loss_cls: 0.5200, loss: 0.5200 +2025-07-02 13:59:01,962 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:18:16, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 0.5237, loss: 0.5237 +2025-07-02 13:59:17,692 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:17:59, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5306, loss: 0.5306 +2025-07-02 13:59:33,453 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:17:42, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8950, top5_acc: 0.9856, loss_cls: 0.5483, loss: 0.5483 +2025-07-02 13:59:49,283 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:17:25, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9906, loss_cls: 0.5252, loss: 0.5252 +2025-07-02 14:00:05,085 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:17:09, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5466, loss: 0.5466 +2025-07-02 14:00:20,899 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:16:52, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 0.5911, loss: 0.5911 +2025-07-02 14:00:33,793 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 14:00:56,068 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:00:56,078 - pyskl - INFO - +top1_acc 0.8942 +top5_acc 0.9915 +2025-07-02 14:00:56,079 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8942, top5_acc: 0.9915 +2025-07-02 14:01:33,141 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:16:58, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.5349, loss: 0.5349 +2025-07-02 14:01:48,776 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:16:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5980, loss: 0.5980 +2025-07-02 14:02:04,630 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:16:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5177, loss: 0.5177 +2025-07-02 14:02:20,422 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:16:07, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5985, loss: 0.5985 +2025-07-02 14:02:36,178 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:15:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8775, top5_acc: 0.9912, loss_cls: 0.6059, loss: 0.6059 +2025-07-02 14:02:51,891 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:15:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5628, loss: 0.5628 +2025-07-02 14:03:07,623 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:15:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5882, loss: 0.5882 +2025-07-02 14:03:23,394 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:14:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5920, loss: 0.5920 +2025-07-02 14:03:39,138 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:14:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.5924, loss: 0.5924 +2025-07-02 14:03:54,849 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:14:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 0.6200, loss: 0.6200 +2025-07-02 14:04:10,564 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:14:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9850, loss_cls: 0.5687, loss: 0.5687 +2025-07-02 14:04:23,323 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 14:04:46,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:04:46,125 - pyskl - INFO - +top1_acc 0.8850 +top5_acc 0.9933 +2025-07-02 14:04:46,126 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8850, top5_acc: 0.9933 +2025-07-02 14:05:23,370 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:14:12, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9850, loss_cls: 0.4676, loss: 0.4676 +2025-07-02 14:05:39,002 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:13:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9850, loss_cls: 0.5708, loss: 0.5708 +2025-07-02 14:05:54,862 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:13:38, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.6155, loss: 0.6155 +2025-07-02 14:06:10,453 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:13:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9944, loss_cls: 0.5367, loss: 0.5367 +2025-07-02 14:06:25,954 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:13:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.6001, loss: 0.6001 +2025-07-02 14:06:41,483 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:12:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.6278, loss: 0.6278 +2025-07-02 14:06:57,033 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:12:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9856, loss_cls: 0.5979, loss: 0.5979 +2025-07-02 14:07:12,557 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:12:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9812, loss_cls: 0.5668, loss: 0.5668 +2025-07-02 14:07:28,103 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:11:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 0.5667, loss: 0.5667 +2025-07-02 14:07:43,681 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:11:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4891, loss: 0.4891 +2025-07-02 14:07:59,279 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:11:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.6157, loss: 0.6157 +2025-07-02 14:08:11,995 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 14:08:35,301 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:08:35,314 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9948 +2025-07-02 14:08:35,318 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_23.pth was removed +2025-07-02 14:08:35,436 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2025-07-02 14:08:35,436 - pyskl - INFO - Best top1_acc is 0.9109 at 32 epoch. +2025-07-02 14:08:35,437 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.9109, top5_acc: 0.9948 +2025-07-02 14:09:12,609 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:11:19, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.5240, loss: 0.5240 +2025-07-02 14:09:28,316 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:11:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.5887, loss: 0.5887 +2025-07-02 14:09:44,000 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:10:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5842, loss: 0.5842 +2025-07-02 14:09:59,714 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:10:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9844, loss_cls: 0.5773, loss: 0.5773 +2025-07-02 14:10:15,471 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:10:10, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 14:10:31,177 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:09:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5893, loss: 0.5893 +2025-07-02 14:10:46,813 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:09:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.5009, loss: 0.5009 +2025-07-02 14:11:02,458 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:09:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5218, loss: 0.5218 +2025-07-02 14:11:18,141 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:09:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5542, loss: 0.5542 +2025-07-02 14:11:33,791 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:08:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.5817, loss: 0.5817 +2025-07-02 14:11:49,454 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:08:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.5845, loss: 0.5845 +2025-07-02 14:12:02,090 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 14:12:25,062 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:12:25,072 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9904 +2025-07-02 14:12:25,072 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.8902, top5_acc: 0.9904 +2025-07-02 14:13:02,478 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:08:29, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5936, loss: 0.5936 +2025-07-02 14:13:18,388 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:08:12, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9831, loss_cls: 0.5918, loss: 0.5918 +2025-07-02 14:13:34,005 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:07:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9862, loss_cls: 0.5277, loss: 0.5277 +2025-07-02 14:13:49,661 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:07:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.6101, loss: 0.6101 +2025-07-02 14:14:05,312 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:07:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.5325, loss: 0.5325 +2025-07-02 14:14:20,932 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:07:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.5645, loss: 0.5645 +2025-07-02 14:14:36,511 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:06:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.5317, loss: 0.5317 +2025-07-02 14:14:52,101 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:06:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.6076, loss: 0.6076 +2025-07-02 14:15:07,656 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:06:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5738, loss: 0.5738 +2025-07-02 14:15:23,210 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:05:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 0.5713, loss: 0.5713 +2025-07-02 14:15:39,054 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:05:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 0.5156, loss: 0.5156 +2025-07-02 14:15:51,949 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 14:16:14,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:16:14,346 - pyskl - INFO - +top1_acc 0.8950 +top5_acc 0.9941 +2025-07-02 14:16:14,346 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8950, top5_acc: 0.9941 +2025-07-02 14:16:51,376 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:05:35, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 0.5168, loss: 0.5168 +2025-07-02 14:17:07,109 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:05:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 0.5950, loss: 0.5950 +2025-07-02 14:17:22,762 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:05:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.5294, loss: 0.5294 +2025-07-02 14:17:38,476 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:04:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9800, loss_cls: 0.5879, loss: 0.5879 +2025-07-02 14:17:54,030 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:04:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5698, loss: 0.5698 +2025-07-02 14:18:09,643 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:04:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5391, loss: 0.5391 +2025-07-02 14:18:25,243 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:03:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4797, loss: 0.4797 +2025-07-02 14:18:40,886 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:03:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9844, loss_cls: 0.5551, loss: 0.5551 +2025-07-02 14:18:56,520 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:03:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5487, loss: 0.5487 +2025-07-02 14:19:12,053 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:02:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 14:19:27,624 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:02:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5484, loss: 0.5484 +2025-07-02 14:19:40,334 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 14:20:03,062 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:20:03,073 - pyskl - INFO - +top1_acc 0.9116 +top5_acc 0.9956 +2025-07-02 14:20:03,076 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_32.pth was removed +2025-07-02 14:20:03,192 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. +2025-07-02 14:20:03,193 - pyskl - INFO - Best top1_acc is 0.9116 at 35 epoch. +2025-07-02 14:20:03,194 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.9116, top5_acc: 0.9956 +2025-07-02 14:20:40,549 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:02:40, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4890, loss: 0.4890 +2025-07-02 14:20:56,233 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 6:02:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5670, loss: 0.5670 +2025-07-02 14:21:11,833 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 6:02:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.5063, loss: 0.5063 +2025-07-02 14:21:27,444 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 6:01:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5753, loss: 0.5753 +2025-07-02 14:21:43,111 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 6:01:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5497, loss: 0.5497 +2025-07-02 14:21:58,606 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 6:01:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9838, loss_cls: 0.5527, loss: 0.5527 +2025-07-02 14:22:14,032 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 6:00:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5253, loss: 0.5253 +2025-07-02 14:22:29,456 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 6:00:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5888, loss: 0.5888 +2025-07-02 14:22:45,030 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 6:00:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9869, loss_cls: 0.5063, loss: 0.5063 +2025-07-02 14:23:00,629 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 6:00:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9831, loss_cls: 0.5343, loss: 0.5343 +2025-07-02 14:23:16,190 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:59:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9838, loss_cls: 0.5821, loss: 0.5821 +2025-07-02 14:23:28,897 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 14:23:50,979 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:23:50,989 - pyskl - INFO - +top1_acc 0.8898 +top5_acc 0.9922 +2025-07-02 14:23:50,990 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.8898, top5_acc: 0.9922 +2025-07-02 14:24:28,616 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:59:43, time: 0.376, data_time: 0.215, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 14:24:44,338 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:59:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4938, loss: 0.4938 +2025-07-02 14:24:59,890 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:59:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9938, loss_cls: 0.5165, loss: 0.5165 +2025-07-02 14:25:15,554 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:58:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5163, loss: 0.5163 +2025-07-02 14:25:31,175 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:58:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5249, loss: 0.5249 +2025-07-02 14:25:46,741 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:58:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9862, loss_cls: 0.5343, loss: 0.5343 +2025-07-02 14:26:02,257 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:57:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9869, loss_cls: 0.5130, loss: 0.5130 +2025-07-02 14:26:17,807 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:57:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.5151, loss: 0.5151 +2025-07-02 14:26:33,411 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:57:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5574, loss: 0.5574 +2025-07-02 14:26:49,136 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:57:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9856, loss_cls: 0.5403, loss: 0.5403 +2025-07-02 14:27:04,839 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:56:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5868, loss: 0.5868 +2025-07-02 14:27:17,677 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 14:27:40,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:27:40,541 - pyskl - INFO - +top1_acc 0.8787 +top5_acc 0.9900 +2025-07-02 14:27:40,541 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8787, top5_acc: 0.9900 +2025-07-02 14:28:18,176 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:56:47, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 14:28:33,854 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:56:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5655, loss: 0.5655 +2025-07-02 14:28:49,483 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:56:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5703, loss: 0.5703 +2025-07-02 14:29:05,158 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:55:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 14:29:20,698 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:55:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5162, loss: 0.5162 +2025-07-02 14:29:36,322 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:55:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5286, loss: 0.5286 +2025-07-02 14:29:51,926 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:55:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9869, loss_cls: 0.5176, loss: 0.5176 +2025-07-02 14:30:07,558 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:54:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.5346, loss: 0.5346 +2025-07-02 14:30:23,195 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:54:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 14:30:38,848 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:54:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9850, loss_cls: 0.5460, loss: 0.5460 +2025-07-02 14:30:54,321 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:53:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9894, loss_cls: 0.4860, loss: 0.4860 +2025-07-02 14:31:07,001 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 14:31:30,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:31:30,100 - pyskl - INFO - +top1_acc 0.8820 +top5_acc 0.9919 +2025-07-02 14:31:30,100 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.8820, top5_acc: 0.9919 +2025-07-02 14:32:07,883 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:53:50, time: 0.378, data_time: 0.217, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.4863, loss: 0.4863 +2025-07-02 14:32:23,638 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:53:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4928, loss: 0.4928 +2025-07-02 14:32:39,312 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:53:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.4965, loss: 0.4965 +2025-07-02 14:32:54,839 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:52:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9862, loss_cls: 0.5488, loss: 0.5488 +2025-07-02 14:33:10,635 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:52:41, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 0.5176, loss: 0.5176 +2025-07-02 14:33:26,550 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:52:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9850, loss_cls: 0.5303, loss: 0.5303 +2025-07-02 14:33:42,227 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:52:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.5062, loss: 0.5062 +2025-07-02 14:33:57,876 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:51:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9794, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 14:34:13,599 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:51:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4612, loss: 0.4612 +2025-07-02 14:34:29,316 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:51:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.4960, loss: 0.4960 +2025-07-02 14:34:44,845 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:50:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4476, loss: 0.4476 +2025-07-02 14:34:57,508 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 14:35:20,874 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:35:20,884 - pyskl - INFO - +top1_acc 0.9024 +top5_acc 0.9922 +2025-07-02 14:35:20,885 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.9024, top5_acc: 0.9922 +2025-07-02 14:35:58,330 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:50:54, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5461, loss: 0.5461 +2025-07-02 14:36:14,081 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:50:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9856, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 14:36:29,975 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:50:20, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 14:36:45,594 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:50:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 14:37:01,261 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:49:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5428, loss: 0.5428 +2025-07-02 14:37:16,905 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:49:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4701, loss: 0.4701 +2025-07-02 14:37:32,501 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:49:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.4878, loss: 0.4878 +2025-07-02 14:37:48,079 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:48:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4880, loss: 0.4880 +2025-07-02 14:38:03,731 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:48:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9831, loss_cls: 0.5780, loss: 0.5780 +2025-07-02 14:38:19,365 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:48:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 0.5672, loss: 0.5672 +2025-07-02 14:38:34,995 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:48:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4742, loss: 0.4742 +2025-07-02 14:38:47,757 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 14:39:10,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:39:10,619 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9922 +2025-07-02 14:39:10,620 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.9101, top5_acc: 0.9922 +2025-07-02 14:39:48,739 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:47:57, time: 0.381, data_time: 0.219, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4706, loss: 0.4706 +2025-07-02 14:40:04,689 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:47:41, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 14:40:20,430 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:47:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.4854, loss: 0.4854 +2025-07-02 14:40:36,283 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:47:07, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5248, loss: 0.5248 +2025-07-02 14:40:51,974 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:46:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.5247, loss: 0.5247 +2025-07-02 14:41:07,574 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:46:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5405, loss: 0.5405 +2025-07-02 14:41:23,118 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:46:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4661, loss: 0.4661 +2025-07-02 14:41:38,690 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:45:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9869, loss_cls: 0.4847, loss: 0.4847 +2025-07-02 14:41:54,258 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:45:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 0.5240, loss: 0.5240 +2025-07-02 14:42:09,882 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:45:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5717, loss: 0.5717 +2025-07-02 14:42:25,497 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:45:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5115, loss: 0.5115 +2025-07-02 14:42:38,217 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 14:43:01,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:43:01,060 - pyskl - INFO - +top1_acc 0.8968 +top5_acc 0.9889 +2025-07-02 14:43:01,061 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.8968, top5_acc: 0.9889 +2025-07-02 14:43:38,971 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:45:00, time: 0.379, data_time: 0.218, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5469, loss: 0.5469 +2025-07-02 14:43:54,758 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:44:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9862, loss_cls: 0.4633, loss: 0.4633 +2025-07-02 14:44:10,588 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:44:26, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4762, loss: 0.4762 +2025-07-02 14:44:26,380 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:44:09, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 0.4931, loss: 0.4931 +2025-07-02 14:44:42,074 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:43:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5065, loss: 0.5065 +2025-07-02 14:44:57,665 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:43:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9900, loss_cls: 0.5031, loss: 0.5031 +2025-07-02 14:45:13,304 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:43:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3980, loss: 0.3980 +2025-07-02 14:45:28,956 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:42:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.5191, loss: 0.5191 +2025-07-02 14:45:44,535 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:42:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.5890, loss: 0.5890 +2025-07-02 14:46:00,163 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:42:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 0.5759, loss: 0.5759 +2025-07-02 14:46:15,863 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:42:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 14:46:28,793 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 14:46:51,854 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:46:51,865 - pyskl - INFO - +top1_acc 0.9061 +top5_acc 0.9922 +2025-07-02 14:46:51,865 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.9061, top5_acc: 0.9922 +2025-07-02 14:47:29,385 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:42:01, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5223, loss: 0.5223 +2025-07-02 14:47:45,078 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:41:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4483, loss: 0.4483 +2025-07-02 14:48:01,014 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:41:27, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.5025, loss: 0.5025 +2025-07-02 14:48:16,754 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:41:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9862, loss_cls: 0.4864, loss: 0.4864 +2025-07-02 14:48:32,494 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:40:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.5110, loss: 0.5110 +2025-07-02 14:48:48,186 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:40:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5471, loss: 0.5471 +2025-07-02 14:49:03,838 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:40:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 0.4527, loss: 0.4527 +2025-07-02 14:49:19,487 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:40:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.5329, loss: 0.5329 +2025-07-02 14:49:35,151 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:39:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.4769, loss: 0.4769 +2025-07-02 14:49:51,105 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:39:27, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 14:50:06,798 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:39:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9881, loss_cls: 0.4824, loss: 0.4824 +2025-07-02 14:50:19,634 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 14:50:42,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:50:42,407 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9948 +2025-07-02 14:50:42,410 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_35.pth was removed +2025-07-02 14:50:42,525 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. +2025-07-02 14:50:42,525 - pyskl - INFO - Best top1_acc is 0.9157 at 43 epoch. +2025-07-02 14:50:42,526 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.9157, top5_acc: 0.9948 +2025-07-02 14:51:19,270 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:39:01, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4709, loss: 0.4709 +2025-07-02 14:51:34,810 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:38:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 14:51:50,431 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:38:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9875, loss_cls: 0.4899, loss: 0.4899 +2025-07-02 14:52:06,016 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:38:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5463, loss: 0.5463 +2025-07-02 14:52:21,670 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:37:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5340, loss: 0.5340 +2025-07-02 14:52:37,364 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:37:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4766, loss: 0.4766 +2025-07-02 14:52:52,817 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:37:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4089, loss: 0.4089 +2025-07-02 14:53:08,273 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:36:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4843, loss: 0.4843 +2025-07-02 14:53:23,748 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:36:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4533, loss: 0.4533 +2025-07-02 14:53:39,313 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:36:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 0.5226, loss: 0.5226 +2025-07-02 14:53:54,868 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:36:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.4995, loss: 0.4995 +2025-07-02 14:54:07,492 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 14:54:30,358 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:54:30,369 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9926 +2025-07-02 14:54:30,369 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.9042, top5_acc: 0.9926 +2025-07-02 14:55:07,333 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:35:56, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 0.4532, loss: 0.4532 +2025-07-02 14:55:23,086 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:35:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4780, loss: 0.4780 +2025-07-02 14:55:38,675 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:35:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4566, loss: 0.4566 +2025-07-02 14:55:54,315 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:35:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4541, loss: 0.4541 +2025-07-02 14:56:09,978 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:34:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4807, loss: 0.4807 +2025-07-02 14:56:25,646 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:34:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5005, loss: 0.5005 +2025-07-02 14:56:41,257 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:34:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9869, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 14:56:56,854 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:33:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4379, loss: 0.4379 +2025-07-02 14:57:12,571 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:33:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9856, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 14:57:28,421 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:33:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5313, loss: 0.5313 +2025-07-02 14:57:44,030 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:33:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4787, loss: 0.4787 +2025-07-02 14:57:56,797 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 14:58:19,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:58:19,407 - pyskl - INFO - +top1_acc 0.9079 +top5_acc 0.9919 +2025-07-02 14:58:19,407 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.9079, top5_acc: 0.9919 +2025-07-02 14:58:56,178 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:32:53, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4415, loss: 0.4415 +2025-07-02 14:59:11,836 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:32:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4614, loss: 0.4614 +2025-07-02 14:59:27,406 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:32:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4357, loss: 0.4357 +2025-07-02 14:59:43,034 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:32:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.4941, loss: 0.4941 +2025-07-02 14:59:58,510 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:31:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 0.5175, loss: 0.5175 +2025-07-02 15:00:14,052 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:31:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5020, loss: 0.5020 +2025-07-02 15:00:29,515 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:31:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5313, loss: 0.5313 +2025-07-02 15:00:44,971 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:30:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5288, loss: 0.5288 +2025-07-02 15:01:00,514 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:30:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4852, loss: 0.4852 +2025-07-02 15:01:16,042 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:30:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5102, loss: 0.5102 +2025-07-02 15:01:31,491 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:29:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.5895, loss: 0.5895 +2025-07-02 15:01:44,232 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 15:02:06,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:02:06,837 - pyskl - INFO - +top1_acc 0.9031 +top5_acc 0.9956 +2025-07-02 15:02:06,838 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.9031, top5_acc: 0.9956 +2025-07-02 15:02:44,078 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:29:48, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4184, loss: 0.4184 +2025-07-02 15:02:59,788 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:29:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4694, loss: 0.4694 +2025-07-02 15:03:15,587 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:29:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.4350, loss: 0.4350 +2025-07-02 15:03:31,436 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:28:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4409, loss: 0.4409 +2025-07-02 15:03:47,111 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:28:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.4853, loss: 0.4853 +2025-07-02 15:04:02,761 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:28:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9869, loss_cls: 0.5293, loss: 0.5293 +2025-07-02 15:04:18,419 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:28:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.4804, loss: 0.4804 +2025-07-02 15:04:34,137 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:27:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5224, loss: 0.5224 +2025-07-02 15:04:49,558 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:27:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4556, loss: 0.4556 +2025-07-02 15:05:04,998 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:27:12, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 15:05:20,455 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:26:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9856, loss_cls: 0.5055, loss: 0.5055 +2025-07-02 15:05:33,171 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 15:05:56,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:05:56,182 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9933 +2025-07-02 15:05:56,182 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.9050, top5_acc: 0.9933 +2025-07-02 15:06:32,597 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:26:42, time: 0.364, data_time: 0.205, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4533, loss: 0.4533 +2025-07-02 15:06:48,236 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:26:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4635, loss: 0.4635 +2025-07-02 15:07:03,967 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:26:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9900, loss_cls: 0.4007, loss: 0.4007 +2025-07-02 15:07:19,540 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:25:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4554, loss: 0.4554 +2025-07-02 15:07:35,196 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:25:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9844, loss_cls: 0.5748, loss: 0.5748 +2025-07-02 15:07:50,788 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:25:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4983, loss: 0.4983 +2025-07-02 15:08:06,334 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:24:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4249, loss: 0.4249 +2025-07-02 15:08:21,815 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:24:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.4935, loss: 0.4935 +2025-07-02 15:08:37,361 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:24:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4772, loss: 0.4772 +2025-07-02 15:08:53,039 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:24:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9850, loss_cls: 0.4445, loss: 0.4445 +2025-07-02 15:09:08,551 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:23:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.4995, loss: 0.4995 +2025-07-02 15:09:21,168 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 15:09:44,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:09:44,317 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9952 +2025-07-02 15:09:44,321 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_43.pth was removed +2025-07-02 15:09:44,430 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_48.pth. +2025-07-02 15:09:44,431 - pyskl - INFO - Best top1_acc is 0.9223 at 48 epoch. +2025-07-02 15:09:44,432 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.9223, top5_acc: 0.9952 +2025-07-02 15:10:20,871 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:23:36, time: 0.364, data_time: 0.205, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4788, loss: 0.4788 +2025-07-02 15:10:36,525 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:23:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4276, loss: 0.4276 +2025-07-02 15:10:52,090 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:23:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.4189, loss: 0.4189 +2025-07-02 15:11:07,662 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:22:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9869, loss_cls: 0.4693, loss: 0.4693 +2025-07-02 15:11:23,234 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:22:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4082, loss: 0.4082 +2025-07-02 15:11:38,797 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:22:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4916, loss: 0.4916 +2025-07-02 15:11:54,379 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:21:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4598, loss: 0.4598 +2025-07-02 15:12:09,942 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:21:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9881, loss_cls: 0.4976, loss: 0.4976 +2025-07-02 15:12:25,468 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:21:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 0.4497, loss: 0.4497 +2025-07-02 15:12:40,999 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:20:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.4996, loss: 0.4996 +2025-07-02 15:12:56,478 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:20:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4390, loss: 0.4390 +2025-07-02 15:13:09,156 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 15:13:31,751 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:13:31,761 - pyskl - INFO - +top1_acc 0.8817 +top5_acc 0.9930 +2025-07-02 15:13:31,762 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.8817, top5_acc: 0.9930 +2025-07-02 15:14:08,423 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:20:29, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4800, loss: 0.4800 +2025-07-02 15:14:24,085 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:20:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9881, loss_cls: 0.4779, loss: 0.4779 +2025-07-02 15:14:39,664 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:19:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 15:14:55,176 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:19:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 15:15:10,802 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:19:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4241, loss: 0.4241 +2025-07-02 15:15:26,443 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:19:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.5357, loss: 0.5357 +2025-07-02 15:15:42,082 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:18:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4481, loss: 0.4481 +2025-07-02 15:15:57,626 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:18:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 0.5508, loss: 0.5508 +2025-07-02 15:16:13,162 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:18:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4303, loss: 0.4303 +2025-07-02 15:16:28,705 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:17:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 0.4142, loss: 0.4142 +2025-07-02 15:16:44,302 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:17:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5133, loss: 0.5133 +2025-07-02 15:16:56,985 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 15:17:19,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:17:19,506 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9945 +2025-07-02 15:17:19,506 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.9050, top5_acc: 0.9945 +2025-07-02 15:17:55,843 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:17:22, time: 0.363, data_time: 0.204, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9881, loss_cls: 0.3975, loss: 0.3975 +2025-07-02 15:18:11,538 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:17:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.3947, loss: 0.3947 +2025-07-02 15:18:27,169 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:16:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4521, loss: 0.4521 +2025-07-02 15:18:42,758 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:16:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 15:18:58,267 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:16:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4699, loss: 0.4699 +2025-07-02 15:19:13,772 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:15:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 0.4940, loss: 0.4940 +2025-07-02 15:19:29,280 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:15:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9962, loss_cls: 0.4492, loss: 0.4492 +2025-07-02 15:19:44,800 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:15:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9869, loss_cls: 0.4412, loss: 0.4412 +2025-07-02 15:20:00,300 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:15:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4375, loss: 0.4375 +2025-07-02 15:20:15,830 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:14:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9869, loss_cls: 0.5031, loss: 0.5031 +2025-07-02 15:20:31,469 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:14:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4702, loss: 0.4702 +2025-07-02 15:20:44,292 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 15:21:07,225 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:21:07,236 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9885 +2025-07-02 15:21:07,236 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.8990, top5_acc: 0.9885 +2025-07-02 15:21:44,311 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:14:15, time: 0.371, data_time: 0.210, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4501, loss: 0.4501 +2025-07-02 15:21:59,990 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:13:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4262, loss: 0.4262 +2025-07-02 15:22:15,666 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:13:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4255, loss: 0.4255 +2025-07-02 15:22:31,269 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:13:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9894, loss_cls: 0.4327, loss: 0.4327 +2025-07-02 15:22:46,912 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:13:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3985, loss: 0.3985 +2025-07-02 15:23:02,556 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:12:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4583, loss: 0.4583 +2025-07-02 15:23:18,150 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:12:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4570, loss: 0.4570 +2025-07-02 15:23:33,635 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:12:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 0.4327, loss: 0.4327 +2025-07-02 15:23:49,178 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:11:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4560, loss: 0.4560 +2025-07-02 15:24:04,758 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:11:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5210, loss: 0.5210 +2025-07-02 15:24:20,434 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:11:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4463, loss: 0.4463 +2025-07-02 15:24:33,188 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 15:24:56,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:24:56,020 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9930 +2025-07-02 15:24:56,021 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.9072, top5_acc: 0.9930 +2025-07-02 15:25:33,107 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:11:09, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4689, loss: 0.4689 +2025-07-02 15:25:48,672 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:10:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4359, loss: 0.4359 +2025-07-02 15:26:04,354 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:10:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4528, loss: 0.4528 +2025-07-02 15:26:20,050 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:10:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4351, loss: 0.4351 +2025-07-02 15:26:35,699 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:10:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9975, loss_cls: 0.4197, loss: 0.4197 +2025-07-02 15:26:51,310 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:09:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4745, loss: 0.4745 +2025-07-02 15:27:07,001 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:09:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3492, loss: 0.3492 +2025-07-02 15:27:22,659 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:09:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9869, loss_cls: 0.5211, loss: 0.5211 +2025-07-02 15:27:38,293 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:08:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4472, loss: 0.4472 +2025-07-02 15:27:53,937 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:08:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.4914, loss: 0.4914 +2025-07-02 15:28:09,713 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:08:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.4938, loss: 0.4938 +2025-07-02 15:28:22,600 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 15:28:44,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:28:44,706 - pyskl - INFO - +top1_acc 0.9109 +top5_acc 0.9956 +2025-07-02 15:28:44,706 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.9109, top5_acc: 0.9956 +2025-07-02 15:29:21,710 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:08:04, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4252, loss: 0.4252 +2025-07-02 15:29:37,536 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:07:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 15:29:53,335 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:07:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9900, loss_cls: 0.4222, loss: 0.4222 +2025-07-02 15:30:09,042 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:07:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 0.4035, loss: 0.4035 +2025-07-02 15:30:24,627 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:06:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4346, loss: 0.4346 +2025-07-02 15:30:40,213 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:06:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4359, loss: 0.4359 +2025-07-02 15:30:55,794 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:06:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4269, loss: 0.4269 +2025-07-02 15:31:11,367 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:06:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4492, loss: 0.4492 +2025-07-02 15:31:26,938 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:05:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4553, loss: 0.4553 +2025-07-02 15:31:42,634 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:05:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4533, loss: 0.4533 +2025-07-02 15:31:58,402 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:05:13, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4591, loss: 0.4591 +2025-07-02 15:32:11,207 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 15:32:34,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:32:34,215 - pyskl - INFO - +top1_acc 0.8987 +top5_acc 0.9930 +2025-07-02 15:32:34,215 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8987, top5_acc: 0.9930 +2025-07-02 15:33:11,641 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:04:59, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9869, loss_cls: 0.4845, loss: 0.4845 +2025-07-02 15:33:27,277 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:04:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4236, loss: 0.4236 +2025-07-02 15:33:42,982 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:04:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4258, loss: 0.4258 +2025-07-02 15:33:58,560 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:04:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 15:34:14,134 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:03:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3911, loss: 0.3911 +2025-07-02 15:34:29,735 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:03:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4335, loss: 0.4335 +2025-07-02 15:34:45,323 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:03:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.3826, loss: 0.3826 +2025-07-02 15:35:00,859 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:02:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4503, loss: 0.4503 +2025-07-02 15:35:16,426 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:02:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.4285, loss: 0.4285 +2025-07-02 15:35:32,036 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:02:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9850, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 15:35:47,540 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:02:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9881, loss_cls: 0.4591, loss: 0.4591 +2025-07-02 15:36:00,241 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 15:36:22,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:36:22,633 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9930 +2025-07-02 15:36:22,633 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.8972, top5_acc: 0.9930 +2025-07-02 15:36:59,813 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 5:01:52, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 15:37:15,537 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 5:01:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3927, loss: 0.3927 +2025-07-02 15:37:31,171 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 5:01:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3885, loss: 0.3885 +2025-07-02 15:37:46,856 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 5:01:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4509, loss: 0.4509 +2025-07-02 15:38:02,647 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 5:00:44, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 0.4606, loss: 0.4606 +2025-07-02 15:38:18,434 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 5:00:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4442, loss: 0.4442 +2025-07-02 15:38:34,010 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 5:00:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3578, loss: 0.3578 +2025-07-02 15:38:49,553 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:59:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3907, loss: 0.3907 +2025-07-02 15:39:05,202 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:59:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.4002, loss: 0.4002 +2025-07-02 15:39:20,930 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:59:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4232, loss: 0.4232 +2025-07-02 15:39:36,700 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:59:02, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9875, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 15:39:49,450 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 15:40:12,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:40:12,463 - pyskl - INFO - +top1_acc 0.9061 +top5_acc 0.9948 +2025-07-02 15:40:12,464 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.9061, top5_acc: 0.9948 +2025-07-02 15:40:49,359 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:58:47, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3627, loss: 0.3627 +2025-07-02 15:41:04,971 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:58:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3801, loss: 0.3801 +2025-07-02 15:41:20,598 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:58:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3547, loss: 0.3547 +2025-07-02 15:41:36,212 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:57:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4290, loss: 0.4290 +2025-07-02 15:41:51,788 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:57:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3829, loss: 0.3829 +2025-07-02 15:42:07,359 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:57:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4107, loss: 0.4107 +2025-07-02 15:42:22,930 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:57:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4719, loss: 0.4719 +2025-07-02 15:42:38,511 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:56:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4224, loss: 0.4224 +2025-07-02 15:42:54,110 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:56:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3619, loss: 0.3619 +2025-07-02 15:43:09,774 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:56:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9844, loss_cls: 0.4751, loss: 0.4751 +2025-07-02 15:43:25,294 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:55:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.4789, loss: 0.4789 +2025-07-02 15:43:38,116 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 15:44:00,551 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:44:00,561 - pyskl - INFO - +top1_acc 0.9035 +top5_acc 0.9911 +2025-07-02 15:44:00,561 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.9035, top5_acc: 0.9911 +2025-07-02 15:44:37,381 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:55:39, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.4330, loss: 0.4330 +2025-07-02 15:44:52,988 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:55:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3920, loss: 0.3920 +2025-07-02 15:45:08,690 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:55:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3826, loss: 0.3826 +2025-07-02 15:45:24,257 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:54:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.3957, loss: 0.3957 +2025-07-02 15:45:39,782 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:54:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 0.3564, loss: 0.3564 +2025-07-02 15:45:55,234 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:54:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4330, loss: 0.4330 +2025-07-02 15:46:10,726 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:53:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4052, loss: 0.4052 +2025-07-02 15:46:26,183 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:53:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 15:46:41,652 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:53:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9881, loss_cls: 0.4146, loss: 0.4146 +2025-07-02 15:46:57,182 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:53:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4730, loss: 0.4730 +2025-07-02 15:47:12,808 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:52:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4298, loss: 0.4298 +2025-07-02 15:47:25,550 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 15:47:48,338 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:47:48,348 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9893 +2025-07-02 15:47:48,349 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.8905, top5_acc: 0.9893 +2025-07-02 15:48:25,531 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:52:30, time: 0.372, data_time: 0.209, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3544, loss: 0.3544 +2025-07-02 15:48:41,182 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:52:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 0.4548, loss: 0.4548 +2025-07-02 15:48:56,886 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:51:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 0.4226, loss: 0.4226 +2025-07-02 15:49:12,667 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:51:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3438, loss: 0.3438 +2025-07-02 15:49:28,344 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:51:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.3816, loss: 0.3816 +2025-07-02 15:49:43,840 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:51:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4240, loss: 0.4240 +2025-07-02 15:49:59,342 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:50:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 15:50:14,874 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:50:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3877, loss: 0.3877 +2025-07-02 15:50:30,370 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:50:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4430, loss: 0.4430 +2025-07-02 15:50:45,906 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:49:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4616, loss: 0.4616 +2025-07-02 15:51:01,463 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:49:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 15:51:14,238 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 15:51:36,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:51:36,854 - pyskl - INFO - +top1_acc 0.9057 +top5_acc 0.9896 +2025-07-02 15:51:36,854 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.9057, top5_acc: 0.9896 +2025-07-02 15:52:13,721 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:49:22, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.4169, loss: 0.4169 +2025-07-02 15:52:29,542 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:49:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3575, loss: 0.3575 +2025-07-02 15:52:45,186 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:48:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.3954, loss: 0.3954 +2025-07-02 15:53:00,829 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:48:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4063, loss: 0.4063 +2025-07-02 15:53:16,452 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:48:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4117, loss: 0.4117 +2025-07-02 15:53:31,943 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:47:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4228, loss: 0.4228 +2025-07-02 15:53:47,450 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:47:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4151, loss: 0.4151 +2025-07-02 15:54:02,948 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:47:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4407, loss: 0.4407 +2025-07-02 15:54:18,457 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:47:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.4144, loss: 0.4144 +2025-07-02 15:54:34,131 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:46:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9900, loss_cls: 0.4164, loss: 0.4164 +2025-07-02 15:54:49,730 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:46:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4720, loss: 0.4720 +2025-07-02 15:55:02,652 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 15:55:25,367 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:55:25,377 - pyskl - INFO - +top1_acc 0.9072 +top5_acc 0.9922 +2025-07-02 15:55:25,378 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.9072, top5_acc: 0.9922 +2025-07-02 15:56:02,431 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:46:14, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3591, loss: 0.3591 +2025-07-02 15:56:18,153 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:45:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.4120, loss: 0.4120 +2025-07-02 15:56:33,821 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:45:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9912, loss_cls: 0.4036, loss: 0.4036 +2025-07-02 15:56:49,423 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:45:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4249, loss: 0.4249 +2025-07-02 15:57:05,103 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:45:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.3795, loss: 0.3795 +2025-07-02 15:57:20,783 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:44:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4424, loss: 0.4424 +2025-07-02 15:57:36,424 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:44:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3688, loss: 0.3688 +2025-07-02 15:57:52,003 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:44:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.3769, loss: 0.3769 +2025-07-02 15:58:07,596 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:43:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3933, loss: 0.3933 +2025-07-02 15:58:23,265 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:43:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4329, loss: 0.4329 +2025-07-02 15:58:38,867 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:43:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4356, loss: 0.4356 +2025-07-02 15:58:51,632 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 15:59:14,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:59:14,353 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9952 +2025-07-02 15:59:14,353 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.9124, top5_acc: 0.9952 +2025-07-02 15:59:50,983 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:43:06, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4376, loss: 0.4376 +2025-07-02 16:00:06,561 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:42:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9900, loss_cls: 0.3814, loss: 0.3814 +2025-07-02 16:00:22,166 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:42:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4233, loss: 0.4233 +2025-07-02 16:00:37,762 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:42:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4460, loss: 0.4460 +2025-07-02 16:00:53,343 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:41:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3867, loss: 0.3867 +2025-07-02 16:01:08,897 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:41:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3736, loss: 0.3736 +2025-07-02 16:01:24,321 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:41:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3564, loss: 0.3564 +2025-07-02 16:01:39,740 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:41:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.3895, loss: 0.3895 +2025-07-02 16:01:55,173 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:40:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.4110, loss: 0.4110 +2025-07-02 16:02:10,638 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:40:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 0.4477, loss: 0.4477 +2025-07-02 16:02:26,152 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:40:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 0.3853, loss: 0.3853 +2025-07-02 16:02:38,843 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 16:03:01,584 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:03:01,595 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9945 +2025-07-02 16:03:01,595 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.9094, top5_acc: 0.9945 +2025-07-02 16:03:38,425 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:39:57, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3861, loss: 0.3861 +2025-07-02 16:03:53,882 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:39:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.3515, loss: 0.3515 +2025-07-02 16:04:09,487 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:39:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9975, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 16:04:25,151 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:39:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 16:04:40,786 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:38:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3269, loss: 0.3269 +2025-07-02 16:04:56,447 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:38:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3799, loss: 0.3799 +2025-07-02 16:05:12,174 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:38:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3670, loss: 0.3670 +2025-07-02 16:05:27,748 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:37:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3994, loss: 0.3994 +2025-07-02 16:05:43,323 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:37:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3544, loss: 0.3544 +2025-07-02 16:05:58,880 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:37:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9881, loss_cls: 0.3912, loss: 0.3912 +2025-07-02 16:06:14,484 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:37:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4305, loss: 0.4305 +2025-07-02 16:06:27,295 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 16:06:50,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:06:50,121 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9952 +2025-07-02 16:06:50,122 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.9127, top5_acc: 0.9952 +2025-07-02 16:07:27,318 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:36:49, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 0.3955, loss: 0.3955 +2025-07-02 16:07:42,968 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:36:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3609, loss: 0.3609 +2025-07-02 16:07:58,624 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:36:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3522, loss: 0.3522 +2025-07-02 16:08:14,384 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:35:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3793, loss: 0.3793 +2025-07-02 16:08:30,064 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:35:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3677, loss: 0.3677 +2025-07-02 16:08:45,738 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:35:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3985, loss: 0.3985 +2025-07-02 16:09:01,395 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:35:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3542, loss: 0.3542 +2025-07-02 16:09:17,040 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:34:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3538, loss: 0.3538 +2025-07-02 16:09:32,810 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:34:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9925, loss_cls: 0.3816, loss: 0.3816 +2025-07-02 16:09:48,646 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:34:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4594, loss: 0.4594 +2025-07-02 16:10:04,330 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:33:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 16:10:17,049 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 16:10:39,452 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:10:39,462 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9963 +2025-07-02 16:10:39,466 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_48.pth was removed +2025-07-02 16:10:39,578 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-07-02 16:10:39,579 - pyskl - INFO - Best top1_acc is 0.9249 at 64 epoch. +2025-07-02 16:10:39,580 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.9249, top5_acc: 0.9963 +2025-07-02 16:11:16,583 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:33:41, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3325, loss: 0.3325 +2025-07-02 16:11:32,243 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:33:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3903, loss: 0.3903 +2025-07-02 16:11:47,976 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:33:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3109, loss: 0.3109 +2025-07-02 16:12:03,606 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:32:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 16:12:19,114 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:32:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3824, loss: 0.3824 +2025-07-02 16:12:34,621 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:32:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4317, loss: 0.4317 +2025-07-02 16:12:50,178 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:31:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4193, loss: 0.4193 +2025-07-02 16:13:05,692 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:31:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3386, loss: 0.3386 +2025-07-02 16:13:21,188 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:31:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9912, loss_cls: 0.3670, loss: 0.3670 +2025-07-02 16:13:36,805 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:31:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4243, loss: 0.4243 +2025-07-02 16:13:52,445 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:30:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 0.3688, loss: 0.3688 +2025-07-02 16:14:05,265 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 16:14:27,697 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:14:27,707 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9967 +2025-07-02 16:14:27,707 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.9168, top5_acc: 0.9967 +2025-07-02 16:15:04,513 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:30:32, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3422, loss: 0.3422 +2025-07-02 16:15:19,996 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:30:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.3841, loss: 0.3841 +2025-07-02 16:15:35,573 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:29:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.3881, loss: 0.3881 +2025-07-02 16:15:51,240 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:29:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9900, loss_cls: 0.3717, loss: 0.3717 +2025-07-02 16:16:06,887 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:29:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3841, loss: 0.3841 +2025-07-02 16:16:22,518 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:29:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4409, loss: 0.4409 +2025-07-02 16:16:38,102 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:28:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.3550, loss: 0.3550 +2025-07-02 16:16:53,716 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:28:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 16:17:09,309 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:28:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9962, loss_cls: 0.4119, loss: 0.4119 +2025-07-02 16:17:24,886 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:27:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9894, loss_cls: 0.3658, loss: 0.3658 +2025-07-02 16:17:40,429 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:27:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3909, loss: 0.3909 +2025-07-02 16:17:53,149 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 16:18:15,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:18:15,317 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9963 +2025-07-02 16:18:15,318 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.9175, top5_acc: 0.9963 +2025-07-02 16:18:51,716 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:27:23, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 16:19:07,169 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:27:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3316, loss: 0.3316 +2025-07-02 16:19:22,726 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:26:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3402, loss: 0.3402 +2025-07-02 16:19:38,456 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:26:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3658, loss: 0.3658 +2025-07-02 16:19:54,227 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:26:15, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.3825, loss: 0.3825 +2025-07-02 16:20:09,938 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:25:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3991, loss: 0.3991 +2025-07-02 16:20:25,627 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:25:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 16:20:41,252 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:25:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3458, loss: 0.3458 +2025-07-02 16:20:56,891 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:25:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4108, loss: 0.4108 +2025-07-02 16:21:12,577 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:24:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4017, loss: 0.4017 +2025-07-02 16:21:28,229 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:24:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4063, loss: 0.4063 +2025-07-02 16:21:41,137 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 16:22:03,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:22:03,580 - pyskl - INFO - +top1_acc 0.9205 +top5_acc 0.9948 +2025-07-02 16:22:03,580 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.9205, top5_acc: 0.9948 +2025-07-02 16:22:40,161 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:24:14, time: 0.366, data_time: 0.206, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3878, loss: 0.3878 +2025-07-02 16:22:55,831 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:23:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3922, loss: 0.3922 +2025-07-02 16:23:11,546 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:23:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3283, loss: 0.3283 +2025-07-02 16:23:27,199 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:23:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9900, loss_cls: 0.3401, loss: 0.3401 +2025-07-02 16:23:42,848 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:23:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9950, loss_cls: 0.4123, loss: 0.4123 +2025-07-02 16:23:58,428 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:22:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9906, loss_cls: 0.3846, loss: 0.3846 +2025-07-02 16:24:14,247 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:22:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3323, loss: 0.3323 +2025-07-02 16:24:29,963 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:22:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 16:24:45,581 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:21:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.3873, loss: 0.3873 +2025-07-02 16:25:01,219 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:21:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3488, loss: 0.3488 +2025-07-02 16:25:16,925 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:21:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4284, loss: 0.4284 +2025-07-02 16:25:29,865 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 16:25:52,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:25:52,535 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9974 +2025-07-02 16:25:52,535 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.9223, top5_acc: 0.9974 +2025-07-02 16:26:29,097 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:21:05, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3151, loss: 0.3151 +2025-07-02 16:26:44,598 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:20:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.3055, loss: 0.3055 +2025-07-02 16:27:00,276 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:20:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3510, loss: 0.3510 +2025-07-02 16:27:15,907 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:20:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4037, loss: 0.4037 +2025-07-02 16:27:31,503 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:19:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3569, loss: 0.3569 +2025-07-02 16:27:46,982 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:19:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3368, loss: 0.3368 +2025-07-02 16:28:02,501 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:19:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 0.3550, loss: 0.3550 +2025-07-02 16:28:17,993 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:19:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3992, loss: 0.3992 +2025-07-02 16:28:33,498 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:18:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3775, loss: 0.3775 +2025-07-02 16:28:49,063 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:18:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 0.4131, loss: 0.4131 +2025-07-02 16:29:04,790 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:18:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4387, loss: 0.4387 +2025-07-02 16:29:17,467 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 16:29:39,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:29:39,895 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9948 +2025-07-02 16:29:39,899 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_64.pth was removed +2025-07-02 16:29:40,013 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-07-02 16:29:40,014 - pyskl - INFO - Best top1_acc is 0.9253 at 69 epoch. +2025-07-02 16:29:40,015 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.9253, top5_acc: 0.9948 +2025-07-02 16:30:16,710 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:17:55, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3057, loss: 0.3057 +2025-07-02 16:30:32,289 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:17:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3377, loss: 0.3377 +2025-07-02 16:30:47,932 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:17:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3516, loss: 0.3516 +2025-07-02 16:31:03,567 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:17:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3589, loss: 0.3589 +2025-07-02 16:31:19,243 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:16:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3202, loss: 0.3202 +2025-07-02 16:31:34,867 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:16:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3685, loss: 0.3685 +2025-07-02 16:31:50,441 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:16:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3761, loss: 0.3761 +2025-07-02 16:32:05,935 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:15:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3380, loss: 0.3380 +2025-07-02 16:32:21,446 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:15:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3690, loss: 0.3690 +2025-07-02 16:32:37,059 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:15:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3554, loss: 0.3554 +2025-07-02 16:32:52,727 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:15:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.4060, loss: 0.4060 +2025-07-02 16:33:05,399 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 16:33:27,865 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:33:27,875 - pyskl - INFO - +top1_acc 0.9131 +top5_acc 0.9948 +2025-07-02 16:33:27,875 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.9131, top5_acc: 0.9948 +2025-07-02 16:34:04,382 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:14:45, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3301, loss: 0.3301 +2025-07-02 16:34:19,918 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:14:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3434, loss: 0.3434 +2025-07-02 16:34:35,553 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:14:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2919, loss: 0.2919 +2025-07-02 16:34:51,129 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:13:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3398, loss: 0.3398 +2025-07-02 16:35:06,762 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:13:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 16:35:22,333 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:13:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3625, loss: 0.3625 +2025-07-02 16:35:37,930 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:13:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3164, loss: 0.3164 +2025-07-02 16:35:53,504 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:12:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4022, loss: 0.4022 +2025-07-02 16:36:09,076 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:12:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3498, loss: 0.3498 +2025-07-02 16:36:24,709 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:12:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3639, loss: 0.3639 +2025-07-02 16:36:40,387 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:11:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4000, loss: 0.4000 +2025-07-02 16:36:53,183 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 16:37:15,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:37:15,758 - pyskl - INFO - +top1_acc 0.9053 +top5_acc 0.9930 +2025-07-02 16:37:15,759 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.9053, top5_acc: 0.9930 +2025-07-02 16:37:52,262 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:11:35, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3850, loss: 0.3850 +2025-07-02 16:38:07,823 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:11:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3507, loss: 0.3507 +2025-07-02 16:38:23,401 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:11:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3453, loss: 0.3453 +2025-07-02 16:38:39,019 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:10:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3163, loss: 0.3163 +2025-07-02 16:38:54,682 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:10:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 16:39:10,164 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:10:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 0.3534, loss: 0.3534 +2025-07-02 16:39:25,788 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:09:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.3284, loss: 0.3284 +2025-07-02 16:39:41,326 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:09:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3392, loss: 0.3392 +2025-07-02 16:39:56,897 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:09:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 16:40:12,587 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:09:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3333, loss: 0.3333 +2025-07-02 16:40:28,320 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:08:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3889, loss: 0.3889 +2025-07-02 16:40:40,901 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 16:41:03,701 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:41:03,712 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9959 +2025-07-02 16:41:03,712 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.9197, top5_acc: 0.9959 +2025-07-02 16:41:40,609 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:08:26, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3294, loss: 0.3294 +2025-07-02 16:41:56,207 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:08:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 0.3312, loss: 0.3312 +2025-07-02 16:42:11,853 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:07:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3372, loss: 0.3372 +2025-07-02 16:42:27,366 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:07:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3279, loss: 0.3279 +2025-07-02 16:42:42,931 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:07:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.3019, loss: 0.3019 +2025-07-02 16:42:58,474 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:07:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3745, loss: 0.3745 +2025-07-02 16:43:13,999 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:06:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 0.3422, loss: 0.3422 +2025-07-02 16:43:29,542 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:06:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9925, loss_cls: 0.3224, loss: 0.3224 +2025-07-02 16:43:45,079 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:06:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3122, loss: 0.3122 +2025-07-02 16:44:00,651 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:05:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3336, loss: 0.3336 +2025-07-02 16:44:16,289 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:05:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3727, loss: 0.3727 +2025-07-02 16:44:29,015 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 16:44:51,256 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:44:51,266 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9941 +2025-07-02 16:44:51,267 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9186, top5_acc: 0.9941 +2025-07-02 16:45:28,506 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:05:16, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3379, loss: 0.3379 +2025-07-02 16:45:44,037 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:04:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3520, loss: 0.3520 +2025-07-02 16:45:59,766 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:04:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3433, loss: 0.3433 +2025-07-02 16:46:15,486 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:04:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3221, loss: 0.3221 +2025-07-02 16:46:31,033 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:04:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 0.3049, loss: 0.3049 +2025-07-02 16:46:46,625 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:03:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3419, loss: 0.3419 +2025-07-02 16:47:02,187 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:03:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3252, loss: 0.3252 +2025-07-02 16:47:17,769 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:03:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3587, loss: 0.3587 +2025-07-02 16:47:33,365 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:03:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2681, loss: 0.2681 +2025-07-02 16:47:49,071 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:02:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3702, loss: 0.3702 +2025-07-02 16:48:04,787 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:02:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9894, loss_cls: 0.4459, loss: 0.4459 +2025-07-02 16:48:17,593 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 16:48:39,880 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:48:39,891 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9952 +2025-07-02 16:48:39,891 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.9064, top5_acc: 0.9952 +2025-07-02 16:49:17,543 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:02:08, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2976, loss: 0.2976 +2025-07-02 16:49:33,208 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:01:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9925, loss_cls: 0.3237, loss: 0.3237 +2025-07-02 16:49:48,993 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:01:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3278, loss: 0.3278 +2025-07-02 16:50:04,716 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 4:01:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3293, loss: 0.3293 +2025-07-02 16:50:20,325 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 4:01:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3485, loss: 0.3485 +2025-07-02 16:50:35,969 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 4:00:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3194, loss: 0.3194 +2025-07-02 16:50:51,512 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 4:00:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2991, loss: 0.2991 +2025-07-02 16:51:07,085 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 4:00:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3841, loss: 0.3841 +2025-07-02 16:51:22,630 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:59:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3728, loss: 0.3728 +2025-07-02 16:51:38,197 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:59:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3782, loss: 0.3782 +2025-07-02 16:51:53,787 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:59:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 16:52:06,604 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 16:52:29,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:52:29,952 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9952 +2025-07-02 16:52:29,953 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.9042, top5_acc: 0.9952 +2025-07-02 16:53:07,459 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:58:59, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9988, loss_cls: 0.3066, loss: 0.3066 +2025-07-02 16:53:23,309 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:58:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 16:53:39,058 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:58:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2810, loss: 0.2810 +2025-07-02 16:53:54,734 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:58:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2543, loss: 0.2543 +2025-07-02 16:54:10,277 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:57:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 16:54:25,859 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:57:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3870, loss: 0.3870 +2025-07-02 16:54:41,639 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:57:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 16:54:57,362 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:57:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3194, loss: 0.3194 +2025-07-02 16:55:12,941 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:56:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3265, loss: 0.3265 +2025-07-02 16:55:28,517 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:56:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 16:55:44,208 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:56:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9900, loss_cls: 0.3785, loss: 0.3785 +2025-07-02 16:55:57,149 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 16:56:20,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:56:20,667 - pyskl - INFO - +top1_acc 0.9124 +top5_acc 0.9933 +2025-07-02 16:56:20,667 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.9124, top5_acc: 0.9933 +2025-07-02 16:56:58,549 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:55:50, time: 0.379, data_time: 0.217, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.3064, loss: 0.3064 +2025-07-02 16:57:14,211 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:55:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3337, loss: 0.3337 +2025-07-02 16:57:29,856 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:55:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2470, loss: 0.2470 +2025-07-02 16:57:45,484 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:55:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 16:58:01,083 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:54:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.3098, loss: 0.3098 +2025-07-02 16:58:16,669 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:54:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9894, loss_cls: 0.3490, loss: 0.3490 +2025-07-02 16:58:32,200 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:54:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9919, loss_cls: 0.3199, loss: 0.3199 +2025-07-02 16:58:47,779 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:53:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 16:59:03,314 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:53:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3232, loss: 0.3232 +2025-07-02 16:59:18,943 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:53:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.3371, loss: 0.3371 +2025-07-02 16:59:34,485 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:53:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.3085, loss: 0.3085 +2025-07-02 16:59:47,199 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 17:00:10,063 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:00:10,074 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9952 +2025-07-02 17:00:10,077 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_69.pth was removed +2025-07-02 17:00:10,201 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-02 17:00:10,201 - pyskl - INFO - Best top1_acc is 0.9327 at 77 epoch. +2025-07-02 17:00:10,202 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9327, top5_acc: 0.9952 +2025-07-02 17:00:47,378 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:52:40, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3367, loss: 0.3367 +2025-07-02 17:01:02,792 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:52:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2623, loss: 0.2623 +2025-07-02 17:01:18,298 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:52:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.3071, loss: 0.3071 +2025-07-02 17:01:33,760 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:51:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.3093, loss: 0.3093 +2025-07-02 17:01:49,286 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:51:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2885, loss: 0.2885 +2025-07-02 17:02:04,862 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:51:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 17:02:20,511 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:50:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3257, loss: 0.3257 +2025-07-02 17:02:36,198 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:50:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3686, loss: 0.3686 +2025-07-02 17:02:51,875 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:50:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3455, loss: 0.3455 +2025-07-02 17:03:07,567 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:50:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 0.3358, loss: 0.3358 +2025-07-02 17:03:23,250 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:49:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3167, loss: 0.3167 +2025-07-02 17:03:36,383 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 17:03:58,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:03:58,572 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9882 +2025-07-02 17:03:58,573 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.8972, top5_acc: 0.9882 +2025-07-02 17:04:35,655 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:49:30, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2641, loss: 0.2641 +2025-07-02 17:04:51,208 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:49:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3053, loss: 0.3053 +2025-07-02 17:05:06,759 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:48:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9988, loss_cls: 0.3056, loss: 0.3056 +2025-07-02 17:05:22,324 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:48:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.2775, loss: 0.2775 +2025-07-02 17:05:37,944 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:48:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3690, loss: 0.3690 +2025-07-02 17:05:53,565 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:48:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3299, loss: 0.3299 +2025-07-02 17:06:09,185 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:47:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9925, loss_cls: 0.3258, loss: 0.3258 +2025-07-02 17:06:24,862 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:47:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.2972, loss: 0.2972 +2025-07-02 17:06:40,375 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:47:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 0.3242, loss: 0.3242 +2025-07-02 17:06:55,875 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:46:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9994, loss_cls: 0.2940, loss: 0.2940 +2025-07-02 17:07:11,393 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:46:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9912, loss_cls: 0.3477, loss: 0.3477 +2025-07-02 17:07:24,089 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 17:07:46,396 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:07:46,406 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9963 +2025-07-02 17:07:46,409 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_77.pth was removed +2025-07-02 17:07:46,520 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-02 17:07:46,520 - pyskl - INFO - Best top1_acc is 0.9375 at 79 epoch. +2025-07-02 17:07:46,521 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.9375, top5_acc: 0.9963 +2025-07-02 17:08:23,178 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:46:20, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 17:08:38,708 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:46:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9925, loss_cls: 0.3005, loss: 0.3005 +2025-07-02 17:08:54,305 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:45:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 0.3134, loss: 0.3134 +2025-07-02 17:09:09,852 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:45:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2950, loss: 0.2950 +2025-07-02 17:09:25,361 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:45:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3169, loss: 0.3169 +2025-07-02 17:09:40,886 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:44:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9925, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 17:09:56,480 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:44:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2995, loss: 0.2995 +2025-07-02 17:10:12,016 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:44:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3092, loss: 0.3092 +2025-07-02 17:10:27,617 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:44:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 17:10:43,389 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:43:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.2983, loss: 0.2983 +2025-07-02 17:10:59,111 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:43:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3380, loss: 0.3380 +2025-07-02 17:11:11,944 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 17:11:34,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:11:34,507 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9922 +2025-07-02 17:11:34,507 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9135, top5_acc: 0.9922 +2025-07-02 17:12:11,076 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:43:09, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 0.2864, loss: 0.2864 +2025-07-02 17:12:26,707 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:42:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2646, loss: 0.2646 +2025-07-02 17:12:42,414 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:42:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2556, loss: 0.2556 +2025-07-02 17:12:57,836 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:42:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2640, loss: 0.2640 +2025-07-02 17:13:13,305 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:42:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2976, loss: 0.2976 +2025-07-02 17:13:28,740 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:41:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3012, loss: 0.3012 +2025-07-02 17:13:44,230 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:41:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2979, loss: 0.2979 +2025-07-02 17:13:59,750 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:41:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3235, loss: 0.3235 +2025-07-02 17:14:15,310 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:40:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.3053, loss: 0.3053 +2025-07-02 17:14:31,195 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:40:37, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9912, loss_cls: 0.3439, loss: 0.3439 +2025-07-02 17:14:47,072 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:40:21, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3926, loss: 0.3926 +2025-07-02 17:15:00,017 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 17:15:22,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:15:22,620 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9970 +2025-07-02 17:15:22,624 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_79.pth was removed +2025-07-02 17:15:22,742 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_81.pth. +2025-07-02 17:15:22,742 - pyskl - INFO - Best top1_acc is 0.9427 at 81 epoch. +2025-07-02 17:15:22,743 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.9427, top5_acc: 0.9970 +2025-07-02 17:15:59,305 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:39:58, time: 0.366, data_time: 0.206, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3080, loss: 0.3080 +2025-07-02 17:16:14,990 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:39:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2631, loss: 0.2631 +2025-07-02 17:16:30,698 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:39:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2160, loss: 0.2160 +2025-07-02 17:16:46,325 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:39:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.2905, loss: 0.2905 +2025-07-02 17:17:01,938 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:38:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3269, loss: 0.3269 +2025-07-02 17:17:17,525 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:38:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3070, loss: 0.3070 +2025-07-02 17:17:33,109 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:38:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 0.2809, loss: 0.2809 +2025-07-02 17:17:48,591 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:38:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9925, loss_cls: 0.2706, loss: 0.2706 +2025-07-02 17:18:04,173 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:37:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2992, loss: 0.2992 +2025-07-02 17:18:19,767 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:37:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3145, loss: 0.3145 +2025-07-02 17:18:35,387 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:37:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3014, loss: 0.3014 +2025-07-02 17:18:48,115 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 17:19:10,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:19:10,564 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9959 +2025-07-02 17:19:10,564 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.9190, top5_acc: 0.9959 +2025-07-02 17:19:47,296 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:36:48, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2883, loss: 0.2883 +2025-07-02 17:20:02,907 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:36:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2970, loss: 0.2970 +2025-07-02 17:20:18,580 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:36:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2308, loss: 0.2308 +2025-07-02 17:20:34,262 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:35:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2876, loss: 0.2876 +2025-07-02 17:20:49,948 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:35:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9931, loss_cls: 0.2893, loss: 0.2893 +2025-07-02 17:21:05,593 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:35:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3162, loss: 0.3162 +2025-07-02 17:21:21,290 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:35:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2942, loss: 0.2942 +2025-07-02 17:21:37,022 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:34:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2726, loss: 0.2726 +2025-07-02 17:21:52,783 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:34:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2517, loss: 0.2517 +2025-07-02 17:22:08,562 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:34:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3121, loss: 0.3121 +2025-07-02 17:22:24,282 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:34:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2984, loss: 0.2984 +2025-07-02 17:22:37,220 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 17:22:59,694 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:22:59,704 - pyskl - INFO - +top1_acc 0.9323 +top5_acc 0.9945 +2025-07-02 17:22:59,704 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.9323, top5_acc: 0.9945 +2025-07-02 17:23:36,010 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:33:38, time: 0.363, data_time: 0.204, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9938, loss_cls: 0.2786, loss: 0.2786 +2025-07-02 17:23:51,583 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:33:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 17:24:07,203 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:33:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2704, loss: 0.2704 +2025-07-02 17:24:22,844 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:32:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2582, loss: 0.2582 +2025-07-02 17:24:38,502 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:32:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2658, loss: 0.2658 +2025-07-02 17:24:54,150 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:32:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2824, loss: 0.2824 +2025-07-02 17:25:09,866 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:31:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2599, loss: 0.2599 +2025-07-02 17:25:25,555 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:31:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2771, loss: 0.2771 +2025-07-02 17:25:41,241 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:31:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9925, loss_cls: 0.3003, loss: 0.3003 +2025-07-02 17:25:56,913 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:31:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3196, loss: 0.3196 +2025-07-02 17:26:12,602 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:30:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 0.3255, loss: 0.3255 +2025-07-02 17:26:25,320 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 17:26:47,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:26:47,746 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9933 +2025-07-02 17:26:47,747 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.9382, top5_acc: 0.9933 +2025-07-02 17:27:24,747 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:30:28, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2485, loss: 0.2485 +2025-07-02 17:27:40,406 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:30:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2621, loss: 0.2621 +2025-07-02 17:27:56,089 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:29:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2548, loss: 0.2548 +2025-07-02 17:28:11,728 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:29:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2312, loss: 0.2312 +2025-07-02 17:28:27,322 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:29:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2654, loss: 0.2654 +2025-07-02 17:28:42,919 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:29:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3215, loss: 0.3215 +2025-07-02 17:28:58,537 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:28:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2990, loss: 0.2990 +2025-07-02 17:29:14,160 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:28:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2779, loss: 0.2779 +2025-07-02 17:29:29,817 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:28:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 17:29:45,551 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:27:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2695, loss: 0.2695 +2025-07-02 17:30:01,192 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:27:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.3055, loss: 0.3055 +2025-07-02 17:30:13,806 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 17:30:36,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:30:36,288 - pyskl - INFO - +top1_acc 0.9323 +top5_acc 0.9952 +2025-07-02 17:30:36,289 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.9323, top5_acc: 0.9952 +2025-07-02 17:31:12,981 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:27:17, time: 0.367, data_time: 0.207, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2532, loss: 0.2532 +2025-07-02 17:31:28,641 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:27:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2575, loss: 0.2575 +2025-07-02 17:31:44,286 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:26:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2425, loss: 0.2425 +2025-07-02 17:31:59,880 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:26:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2703, loss: 0.2703 +2025-07-02 17:32:15,500 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:26:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2535, loss: 0.2535 +2025-07-02 17:32:31,084 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:25:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2796, loss: 0.2796 +2025-07-02 17:32:46,741 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:25:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2698, loss: 0.2698 +2025-07-02 17:33:02,373 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:25:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 0.2666, loss: 0.2666 +2025-07-02 17:33:18,041 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:25:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.2994, loss: 0.2994 +2025-07-02 17:33:33,741 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:24:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.3047, loss: 0.3047 +2025-07-02 17:33:49,357 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:24:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.3223, loss: 0.3223 +2025-07-02 17:34:02,219 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 17:34:24,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:34:24,840 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9967 +2025-07-02 17:34:24,844 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_81.pth was removed +2025-07-02 17:34:24,964 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-07-02 17:34:24,964 - pyskl - INFO - Best top1_acc is 0.9442 at 86 epoch. +2025-07-02 17:34:24,965 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9442, top5_acc: 0.9967 +2025-07-02 17:35:02,352 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:24:07, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2562, loss: 0.2562 +2025-07-02 17:35:17,911 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:23:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2120, loss: 0.2120 +2025-07-02 17:35:33,448 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:23:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2581, loss: 0.2581 +2025-07-02 17:35:48,960 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:23:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 17:36:04,450 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:23:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2663, loss: 0.2663 +2025-07-02 17:36:19,957 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:22:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2894, loss: 0.2894 +2025-07-02 17:36:35,428 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:22:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2722, loss: 0.2722 +2025-07-02 17:36:50,910 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:22:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 17:37:06,459 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:21:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2621, loss: 0.2621 +2025-07-02 17:37:22,042 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:21:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.2964, loss: 0.2964 +2025-07-02 17:37:37,820 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:21:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2883, loss: 0.2883 +2025-07-02 17:37:50,735 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 17:38:13,522 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:38:13,532 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9952 +2025-07-02 17:38:13,536 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_86.pth was removed +2025-07-02 17:38:13,654 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. +2025-07-02 17:38:13,655 - pyskl - INFO - Best top1_acc is 0.9467 at 87 epoch. +2025-07-02 17:38:13,655 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.9467, top5_acc: 0.9952 +2025-07-02 17:38:51,273 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:20:57, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2219, loss: 0.2219 +2025-07-02 17:39:06,922 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:20:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 17:39:22,545 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:20:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2297, loss: 0.2297 +2025-07-02 17:39:38,194 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:20:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2683, loss: 0.2683 +2025-07-02 17:39:53,876 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:19:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2538, loss: 0.2538 +2025-07-02 17:40:09,538 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:19:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2587, loss: 0.2587 +2025-07-02 17:40:25,147 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:19:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2777, loss: 0.2777 +2025-07-02 17:40:40,823 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:19:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.3187, loss: 0.3187 +2025-07-02 17:40:56,436 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:18:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9938, loss_cls: 0.2817, loss: 0.2817 +2025-07-02 17:41:12,079 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:18:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2267, loss: 0.2267 +2025-07-02 17:41:27,957 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:18:10, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3062, loss: 0.3062 +2025-07-02 17:41:40,654 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 17:42:03,979 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:42:03,990 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9937 +2025-07-02 17:42:03,990 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.9186, top5_acc: 0.9937 +2025-07-02 17:42:41,700 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:17:47, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2513, loss: 0.2513 +2025-07-02 17:42:57,210 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:17:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2127, loss: 0.2127 +2025-07-02 17:43:12,769 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:17:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1872, loss: 0.1872 +2025-07-02 17:43:28,325 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:16:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2065, loss: 0.2065 +2025-07-02 17:43:43,943 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:16:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2616, loss: 0.2616 +2025-07-02 17:43:59,535 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:16:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9944, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 17:44:15,110 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:16:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2458, loss: 0.2458 +2025-07-02 17:44:30,758 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:15:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2790, loss: 0.2790 +2025-07-02 17:44:46,269 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:15:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2646, loss: 0.2646 +2025-07-02 17:45:01,814 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:15:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.2947, loss: 0.2947 +2025-07-02 17:45:17,286 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2969, loss: 0.2969 +2025-07-02 17:45:30,066 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 17:45:53,072 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:45:53,082 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9933 +2025-07-02 17:45:53,082 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.9371, top5_acc: 0.9933 +2025-07-02 17:46:31,041 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:14:37, time: 0.380, data_time: 0.220, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.2618, loss: 0.2618 +2025-07-02 17:46:46,726 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:14:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 0.2373, loss: 0.2373 +2025-07-02 17:47:02,225 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:14:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2195, loss: 0.2195 +2025-07-02 17:47:17,663 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:13:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2606, loss: 0.2606 +2025-07-02 17:47:33,241 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:13:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2805, loss: 0.2805 +2025-07-02 17:47:48,779 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:13:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2717, loss: 0.2717 +2025-07-02 17:48:04,286 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:12:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2382, loss: 0.2382 +2025-07-02 17:48:19,953 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:12:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2433, loss: 0.2433 +2025-07-02 17:48:35,571 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:12:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2553, loss: 0.2553 +2025-07-02 17:48:51,123 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:12:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 17:49:06,642 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:11:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2768, loss: 0.2768 +2025-07-02 17:49:19,414 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 17:49:42,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:49:42,744 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9967 +2025-07-02 17:49:42,744 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9371, top5_acc: 0.9967 +2025-07-02 17:50:20,328 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:11:26, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2076, loss: 0.2076 +2025-07-02 17:50:35,880 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:11:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2084, loss: 0.2084 +2025-07-02 17:50:51,558 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:10:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2269, loss: 0.2269 +2025-07-02 17:51:07,217 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:10:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.2235, loss: 0.2235 +2025-07-02 17:51:22,848 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:10:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 17:51:38,562 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:10:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2629, loss: 0.2629 +2025-07-02 17:51:54,248 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:09:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2124, loss: 0.2124 +2025-07-02 17:52:09,918 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:09:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2375, loss: 0.2375 +2025-07-02 17:52:25,591 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:09:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 17:52:41,306 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 17:52:56,973 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:08:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2787, loss: 0.2787 +2025-07-02 17:53:09,717 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 17:53:32,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:53:32,733 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9959 +2025-07-02 17:53:32,734 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9360, top5_acc: 0.9959 +2025-07-02 17:54:10,197 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:08:16, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2359, loss: 0.2359 +2025-07-02 17:54:25,869 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.1977, loss: 0.1977 +2025-07-02 17:54:41,520 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:07:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 0.2193, loss: 0.2193 +2025-07-02 17:54:57,162 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:07:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1953, loss: 0.1953 +2025-07-02 17:55:12,783 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:07:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2424, loss: 0.2424 +2025-07-02 17:55:28,401 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:06:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 17:55:44,001 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:06:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 17:55:59,763 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:06:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2743, loss: 0.2743 +2025-07-02 17:56:15,460 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:06:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2379, loss: 0.2379 +2025-07-02 17:56:31,267 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:05:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2574, loss: 0.2574 +2025-07-02 17:56:46,881 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:05:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2791, loss: 0.2791 +2025-07-02 17:56:59,622 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 17:57:23,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:57:23,059 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9970 +2025-07-02 17:57:23,060 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9357, top5_acc: 0.9970 +2025-07-02 17:58:00,485 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:05:06, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2197, loss: 0.2197 +2025-07-02 17:58:16,166 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:04:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2334, loss: 0.2334 +2025-07-02 17:58:31,816 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:04:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2157, loss: 0.2157 +2025-07-02 17:58:47,371 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:04:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2403, loss: 0.2403 +2025-07-02 17:59:02,922 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2150, loss: 0.2150 +2025-07-02 17:59:18,448 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:03:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1923, loss: 0.1923 +2025-07-02 17:59:33,988 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:03:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2219, loss: 0.2219 +2025-07-02 17:59:49,564 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:03:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2286, loss: 0.2286 +2025-07-02 18:00:05,238 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:02:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2589, loss: 0.2589 +2025-07-02 18:00:20,961 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:02:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2480, loss: 0.2480 +2025-07-02 18:00:36,711 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:02:19, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2531, loss: 0.2531 +2025-07-02 18:00:49,464 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 18:01:12,636 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:01:12,646 - pyskl - INFO - +top1_acc 0.9246 +top5_acc 0.9945 +2025-07-02 18:01:12,647 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9246, top5_acc: 0.9945 +2025-07-02 18:01:50,420 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:55, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 18:02:06,068 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:01:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2683, loss: 0.2683 +2025-07-02 18:02:21,710 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:01:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1701, loss: 0.1701 +2025-07-02 18:02:37,351 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:01:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2876, loss: 0.2876 +2025-07-02 18:02:52,904 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 3:00:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2449, loss: 0.2449 +2025-07-02 18:03:08,469 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 3:00:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2190, loss: 0.2190 +2025-07-02 18:03:24,079 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 3:00:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2163, loss: 0.2163 +2025-07-02 18:03:39,877 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2596, loss: 0.2596 +2025-07-02 18:03:55,732 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:59:42, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2077, loss: 0.2077 +2025-07-02 18:04:11,449 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:59:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2294, loss: 0.2294 +2025-07-02 18:04:27,042 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:59:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2277, loss: 0.2277 +2025-07-02 18:04:39,897 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 18:05:03,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:05:03,183 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9952 +2025-07-02 18:05:03,184 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.9460, top5_acc: 0.9952 +2025-07-02 18:05:41,139 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:58:45, time: 0.380, data_time: 0.218, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2157, loss: 0.2157 +2025-07-02 18:05:56,780 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:58:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2298, loss: 0.2298 +2025-07-02 18:06:12,438 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:58:12, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1900, loss: 0.1900 +2025-07-02 18:06:28,021 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9950, loss_cls: 0.2129, loss: 0.2129 +2025-07-02 18:06:43,622 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:57:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.2027, loss: 0.2027 +2025-07-02 18:06:59,224 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:57:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2120, loss: 0.2120 +2025-07-02 18:07:14,839 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:57:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1815, loss: 0.1815 +2025-07-02 18:07:30,429 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:56:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2046, loss: 0.2046 +2025-07-02 18:07:46,021 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:56:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2213, loss: 0.2213 +2025-07-02 18:08:01,619 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:56:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2370, loss: 0.2370 +2025-07-02 18:08:17,418 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 0.2515, loss: 0.2515 +2025-07-02 18:08:30,216 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 18:08:53,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:08:53,300 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9948 +2025-07-02 18:08:53,301 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9209, top5_acc: 0.9948 +2025-07-02 18:09:31,211 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:55:35, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2542, loss: 0.2542 +2025-07-02 18:09:46,813 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:55:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1920, loss: 0.1920 +2025-07-02 18:10:02,386 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:55:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2260, loss: 0.2260 +2025-07-02 18:10:17,906 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:54:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2070, loss: 0.2070 +2025-07-02 18:10:33,467 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:54:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1953, loss: 0.1953 +2025-07-02 18:10:48,939 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:54:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1761, loss: 0.1761 +2025-07-02 18:11:04,539 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2080, loss: 0.2080 +2025-07-02 18:11:20,258 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:53:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2072, loss: 0.2072 +2025-07-02 18:11:35,988 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:53:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1867, loss: 0.1867 +2025-07-02 18:11:51,607 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:53:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2286, loss: 0.2286 +2025-07-02 18:12:07,223 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:52:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2400, loss: 0.2400 +2025-07-02 18:12:19,991 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 18:12:43,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:12:43,772 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9956 +2025-07-02 18:12:43,773 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.9405, top5_acc: 0.9956 +2025-07-02 18:13:21,399 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:52:24, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 0.2011, loss: 0.2011 +2025-07-02 18:13:37,047 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:52:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.2001, loss: 0.2001 +2025-07-02 18:13:52,594 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:51:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1597, loss: 0.1597 +2025-07-02 18:14:08,213 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:51:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1695, loss: 0.1695 +2025-07-02 18:14:23,787 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:51:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2359, loss: 0.2359 +2025-07-02 18:14:39,325 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:51:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2492, loss: 0.2492 +2025-07-02 18:14:54,878 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:50:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2608, loss: 0.2608 +2025-07-02 18:15:10,705 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:50:27, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2390, loss: 0.2390 +2025-07-02 18:15:26,377 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:50:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2183, loss: 0.2183 +2025-07-02 18:15:42,038 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2068, loss: 0.2068 +2025-07-02 18:15:57,530 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:49:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2242, loss: 0.2242 +2025-07-02 18:16:10,220 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 18:16:33,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:16:33,600 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9967 +2025-07-02 18:16:33,601 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.9460, top5_acc: 0.9967 +2025-07-02 18:17:10,864 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:49:13, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.2006, loss: 0.2006 +2025-07-02 18:17:26,365 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1763, loss: 0.1763 +2025-07-02 18:17:41,956 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:48:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1813, loss: 0.1813 +2025-07-02 18:17:57,499 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:48:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9950, loss_cls: 0.1978, loss: 0.1978 +2025-07-02 18:18:13,060 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:48:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.1973, loss: 0.1973 +2025-07-02 18:18:28,610 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:47:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2437, loss: 0.2437 +2025-07-02 18:18:44,302 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:47:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1805, loss: 0.1805 +2025-07-02 18:19:00,068 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:47:16, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2309, loss: 0.2309 +2025-07-02 18:19:15,895 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:47:00, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1952, loss: 0.1952 +2025-07-02 18:19:31,700 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:46:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2461, loss: 0.2461 +2025-07-02 18:19:47,272 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:46:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2510, loss: 0.2510 +2025-07-02 18:19:59,951 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 18:20:23,266 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:20:23,276 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9948 +2025-07-02 18:20:23,277 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.9327, top5_acc: 0.9948 +2025-07-02 18:21:00,374 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:46:02, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2416, loss: 0.2416 +2025-07-02 18:21:15,921 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:45:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.2004, loss: 0.2004 +2025-07-02 18:21:31,571 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:45:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2079, loss: 0.2079 +2025-07-02 18:21:47,166 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:45:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2019, loss: 0.2019 +2025-07-02 18:22:02,705 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1881, loss: 0.1881 +2025-07-02 18:22:18,310 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:44:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2557, loss: 0.2557 +2025-07-02 18:22:33,917 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:44:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1643, loss: 0.1643 +2025-07-02 18:22:49,446 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:44:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1962, loss: 0.1962 +2025-07-02 18:23:05,090 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:43:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2068, loss: 0.2068 +2025-07-02 18:23:20,636 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:43:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.2620, loss: 0.2620 +2025-07-02 18:23:36,136 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:43:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2341, loss: 0.2341 +2025-07-02 18:23:48,803 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 18:24:11,619 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:24:11,630 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9937 +2025-07-02 18:24:11,630 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9375, top5_acc: 0.9937 +2025-07-02 18:24:48,988 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:50, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9931, loss_cls: 0.2041, loss: 0.2041 +2025-07-02 18:25:04,642 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:42:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1991, loss: 0.1991 +2025-07-02 18:25:20,460 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:42:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1532, loss: 0.1532 +2025-07-02 18:25:36,120 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:42:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1530, loss: 0.1530 +2025-07-02 18:25:51,587 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:41:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1529, loss: 0.1529 +2025-07-02 18:26:06,993 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:41:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1764, loss: 0.1764 +2025-07-02 18:26:22,450 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:41:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1740, loss: 0.1740 +2025-07-02 18:26:38,103 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2064, loss: 0.2064 +2025-07-02 18:26:53,873 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:40:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1655, loss: 0.1655 +2025-07-02 18:27:09,684 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:40:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2162, loss: 0.2162 +2025-07-02 18:27:25,260 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:40:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2144, loss: 0.2144 +2025-07-02 18:27:37,997 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 18:28:01,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:28:01,156 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9945 +2025-07-02 18:28:01,157 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9357, top5_acc: 0.9945 +2025-07-02 18:28:38,699 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:39:39, time: 0.375, data_time: 0.213, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1913, loss: 0.1913 +2025-07-02 18:28:54,426 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:39:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2006, loss: 0.2006 +2025-07-02 18:29:10,027 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:39:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 18:29:25,679 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 18:29:41,260 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:38:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1946, loss: 0.1946 +2025-07-02 18:29:56,814 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:38:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9944, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 18:30:12,387 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:38:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1510, loss: 0.1510 +2025-07-02 18:30:28,214 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:37:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2029, loss: 0.2029 +2025-07-02 18:30:43,919 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:37:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2415, loss: 0.2415 +2025-07-02 18:30:59,647 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:37:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2239, loss: 0.2239 +2025-07-02 18:31:15,276 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1869, loss: 0.1869 +2025-07-02 18:31:27,935 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 18:31:50,865 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:31:50,876 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9956 +2025-07-02 18:31:50,876 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9364, top5_acc: 0.9956 +2025-07-02 18:32:28,404 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:36:29, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1245, loss: 0.1245 +2025-07-02 18:32:44,033 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:36:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1485, loss: 0.1485 +2025-07-02 18:32:59,666 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1407, loss: 0.1407 +2025-07-02 18:33:15,330 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:35:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9938, loss_cls: 0.2024, loss: 0.2024 +2025-07-02 18:33:30,932 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:35:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1606, loss: 0.1606 +2025-07-02 18:33:46,545 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:35:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 18:34:02,259 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1688, loss: 0.1688 +2025-07-02 18:34:17,958 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:34:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 18:34:33,626 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:34:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1696, loss: 0.1696 +2025-07-02 18:34:49,410 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 0.2388, loss: 0.2388 +2025-07-02 18:35:05,218 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:33:43, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 18:35:17,956 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 18:35:40,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:35:40,826 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9967 +2025-07-02 18:35:40,826 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9453, top5_acc: 0.9967 +2025-07-02 18:36:18,380 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:33:18, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1282, loss: 0.1282 +2025-07-02 18:36:34,117 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:33:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 18:36:49,773 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:32:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1529, loss: 0.1529 +2025-07-02 18:37:05,395 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:32:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1895, loss: 0.1895 +2025-07-02 18:37:21,087 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:32:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1503, loss: 0.1503 +2025-07-02 18:37:36,872 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:55, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1590, loss: 0.1590 +2025-07-02 18:37:52,587 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:31:38, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1427, loss: 0.1427 +2025-07-02 18:38:08,365 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:31:22, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.1833, loss: 0.1833 +2025-07-02 18:38:24,005 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:31:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1617, loss: 0.1617 +2025-07-02 18:38:39,696 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.1787, loss: 0.1787 +2025-07-02 18:38:55,282 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:30:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.2056, loss: 0.2056 +2025-07-02 18:39:08,107 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 18:39:30,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:39:30,801 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9959 +2025-07-02 18:39:30,802 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9327, top5_acc: 0.9959 +2025-07-02 18:40:08,143 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:30:07, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1530, loss: 0.1530 +2025-07-02 18:40:23,968 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:50, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1947, loss: 0.1947 +2025-07-02 18:40:39,582 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:29:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1880, loss: 0.1880 +2025-07-02 18:40:55,286 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:29:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1980, loss: 0.1980 +2025-07-02 18:41:10,906 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:29:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9944, loss_cls: 0.1656, loss: 0.1656 +2025-07-02 18:41:26,784 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:28:44, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1661, loss: 0.1661 +2025-07-02 18:41:42,788 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:28:28, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1322, loss: 0.1322 +2025-07-02 18:41:58,536 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:28:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.1894, loss: 0.1894 +2025-07-02 18:42:14,237 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1517, loss: 0.1517 +2025-07-02 18:42:29,834 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:27:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.1987, loss: 0.1987 +2025-07-02 18:42:45,504 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:27:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 18:42:58,327 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 18:43:20,947 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:43:20,957 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9952 +2025-07-02 18:43:20,958 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.9357, top5_acc: 0.9952 +2025-07-02 18:43:58,131 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:56, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1971, loss: 0.1971 +2025-07-02 18:44:13,696 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:26:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1621, loss: 0.1621 +2025-07-02 18:44:29,244 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:26:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1775, loss: 0.1775 +2025-07-02 18:44:44,968 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:26:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 18:45:00,540 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1395, loss: 0.1395 +2025-07-02 18:45:16,120 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:25:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1575, loss: 0.1575 +2025-07-02 18:45:31,694 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:25:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1459, loss: 0.1459 +2025-07-02 18:45:47,274 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:25:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1297, loss: 0.1297 +2025-07-02 18:46:02,873 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:24:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2023, loss: 0.2023 +2025-07-02 18:46:18,454 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:24:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 18:46:34,059 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:24:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1564, loss: 0.1564 +2025-07-02 18:46:46,667 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 18:47:09,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:47:09,126 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9945 +2025-07-02 18:47:09,126 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9338, top5_acc: 0.9945 +2025-07-02 18:47:46,225 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:23:44, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1438, loss: 0.1438 +2025-07-02 18:48:01,951 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:23:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 18:48:17,435 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:23:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1387, loss: 0.1387 +2025-07-02 18:48:32,967 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1408, loss: 0.1408 +2025-07-02 18:48:48,578 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:22:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1360, loss: 0.1360 +2025-07-02 18:49:04,072 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:22:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1468, loss: 0.1468 +2025-07-02 18:49:19,660 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:22:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1470, loss: 0.1470 +2025-07-02 18:49:35,343 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:48, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1485, loss: 0.1485 +2025-07-02 18:49:51,109 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:21:32, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1409, loss: 0.1409 +2025-07-02 18:50:06,736 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:21:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1398, loss: 0.1398 +2025-07-02 18:50:22,345 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1642, loss: 0.1642 +2025-07-02 18:50:35,054 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 18:50:58,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:50:58,061 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9956 +2025-07-02 18:50:58,061 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9334, top5_acc: 0.9956 +2025-07-02 18:51:35,438 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:20:33, time: 0.374, data_time: 0.215, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1543, loss: 0.1543 +2025-07-02 18:51:51,142 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:20:16, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1320, loss: 0.1320 +2025-07-02 18:52:06,765 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:20:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1515, loss: 0.1515 +2025-07-02 18:52:22,376 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:19:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1722, loss: 0.1722 +2025-07-02 18:52:38,006 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:19:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1828, loss: 0.1828 +2025-07-02 18:52:53,574 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:19:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1543, loss: 0.1543 +2025-07-02 18:53:09,324 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 18:53:25,208 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:18:37, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1428, loss: 0.1428 +2025-07-02 18:53:40,899 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:18:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1814, loss: 0.1814 +2025-07-02 18:53:56,572 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:18:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1531, loss: 0.1531 +2025-07-02 18:54:12,115 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1646, loss: 0.1646 +2025-07-02 18:54:24,894 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 18:54:47,361 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:54:47,372 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9967 +2025-07-02 18:54:47,372 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9223, top5_acc: 0.9967 +2025-07-02 18:55:24,215 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:17:21, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 18:55:39,849 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:17:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1234, loss: 0.1234 +2025-07-02 18:55:55,433 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1402, loss: 0.1402 +2025-07-02 18:56:11,001 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:16:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1363, loss: 0.1363 +2025-07-02 18:56:26,547 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:16:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1489, loss: 0.1489 +2025-07-02 18:56:42,144 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2088, loss: 0.2088 +2025-07-02 18:56:57,794 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:15:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1487, loss: 0.1487 +2025-07-02 18:57:13,430 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:15:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 18:57:29,096 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:15:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1668, loss: 0.1668 +2025-07-02 18:57:44,920 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9944, loss_cls: 0.1767, loss: 0.1767 +2025-07-02 18:58:00,583 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:14:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1660, loss: 0.1660 +2025-07-02 18:58:13,421 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 18:58:36,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:58:36,187 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9948 +2025-07-02 18:58:36,188 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9405, top5_acc: 0.9948 +2025-07-02 18:59:13,608 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:14:10, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1304, loss: 0.1304 +2025-07-02 18:59:29,290 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1298, loss: 0.1298 +2025-07-02 18:59:44,901 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:13:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1351, loss: 0.1351 +2025-07-02 19:00:00,567 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:13:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1274, loss: 0.1274 +2025-07-02 19:00:16,203 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:13:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1210, loss: 0.1210 +2025-07-02 19:00:31,979 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:47, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1347, loss: 0.1347 +2025-07-02 19:00:47,515 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:12:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1199, loss: 0.1199 +2025-07-02 19:01:03,189 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:12:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1610, loss: 0.1610 +2025-07-02 19:01:18,703 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1125, loss: 0.1125 +2025-07-02 19:01:34,223 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:11:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1470, loss: 0.1470 +2025-07-02 19:01:49,955 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:11:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.1618, loss: 0.1618 +2025-07-02 19:02:02,682 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 19:02:25,663 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:02:25,673 - pyskl - INFO - +top1_acc 0.9405 +top5_acc 0.9959 +2025-07-02 19:02:25,674 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9405, top5_acc: 0.9959 +2025-07-02 19:03:03,055 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:59, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9950, loss_cls: 0.1555, loss: 0.1555 +2025-07-02 19:03:18,689 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1311, loss: 0.1311 +2025-07-02 19:03:34,222 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:10:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1174, loss: 0.1174 +2025-07-02 19:03:49,703 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:10:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1140, loss: 0.1140 +2025-07-02 19:04:05,328 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1301, loss: 0.1301 +2025-07-02 19:04:20,746 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:09:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1233, loss: 0.1233 +2025-07-02 19:04:36,240 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:09:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1390, loss: 0.1390 +2025-07-02 19:04:51,707 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:09:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1564, loss: 0.1564 +2025-07-02 19:05:07,243 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1645, loss: 0.1645 +2025-07-02 19:05:22,856 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:08:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1199, loss: 0.1199 +2025-07-02 19:05:38,523 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:08:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1122, loss: 0.1122 +2025-07-02 19:05:51,291 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 19:06:14,528 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:06:14,539 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9963 +2025-07-02 19:06:14,539 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9423, top5_acc: 0.9963 +2025-07-02 19:06:52,082 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:47, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1306, loss: 0.1306 +2025-07-02 19:07:07,664 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:07:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1138, loss: 0.1138 +2025-07-02 19:07:23,183 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:07:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1010, loss: 0.1010 +2025-07-02 19:07:38,736 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 19:07:54,350 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1278, loss: 0.1278 +2025-07-02 19:08:09,909 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:06:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1177, loss: 0.1177 +2025-07-02 19:08:25,522 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:06:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1053, loss: 0.1053 +2025-07-02 19:08:41,156 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1323, loss: 0.1323 +2025-07-02 19:08:56,771 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:05:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1357, loss: 0.1357 +2025-07-02 19:09:12,506 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:05:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1497, loss: 0.1497 +2025-07-02 19:09:28,104 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:05:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1793, loss: 0.1793 +2025-07-02 19:09:40,784 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 19:10:04,035 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:10:04,045 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9963 +2025-07-02 19:10:04,045 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9353, top5_acc: 0.9963 +2025-07-02 19:10:42,040 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:04:35, time: 0.380, data_time: 0.218, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1413, loss: 0.1413 +2025-07-02 19:10:57,837 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:04:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 19:11:13,674 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:04:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0998, loss: 0.0998 +2025-07-02 19:11:29,381 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1173, loss: 0.1173 +2025-07-02 19:11:45,051 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:03:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1542, loss: 0.1542 +2025-07-02 19:12:00,652 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:03:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1505, loss: 0.1505 +2025-07-02 19:12:16,315 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1326, loss: 0.1326 +2025-07-02 19:12:32,136 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:40, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1147, loss: 0.1147 +2025-07-02 19:12:48,005 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:02:23, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1499, loss: 0.1499 +2025-07-02 19:13:03,726 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:02:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1584, loss: 0.1584 +2025-07-02 19:13:19,346 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1472, loss: 0.1472 +2025-07-02 19:13:32,071 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 19:13:55,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:13:55,734 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9948 +2025-07-02 19:13:55,734 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9438, top5_acc: 0.9948 +2025-07-02 19:14:34,088 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:01:25, time: 0.383, data_time: 0.223, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 19:14:49,818 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:01:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1125, loss: 0.1125 +2025-07-02 19:15:05,439 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1064, loss: 0.1064 +2025-07-02 19:15:21,071 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 2:00:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1107, loss: 0.1107 +2025-07-02 19:15:36,909 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 2:00:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1498, loss: 0.1498 +2025-07-02 19:15:52,585 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 2:00:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1409, loss: 0.1409 +2025-07-02 19:16:08,189 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 19:16:23,820 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:59:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1196, loss: 0.1196 +2025-07-02 19:16:39,695 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:59:12, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.1120, loss: 0.1120 +2025-07-02 19:16:55,414 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 19:17:11,064 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1359, loss: 0.1359 +2025-07-02 19:17:23,911 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 19:17:46,905 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:17:46,915 - pyskl - INFO - +top1_acc 0.9456 +top5_acc 0.9970 +2025-07-02 19:17:46,916 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9456, top5_acc: 0.9970 +2025-07-02 19:18:24,808 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:58:13, time: 0.379, data_time: 0.220, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9962, loss_cls: 0.1547, loss: 0.1547 +2025-07-02 19:18:40,562 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1004, loss: 0.1004 +2025-07-02 19:18:56,199 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1027, loss: 0.1027 +2025-07-02 19:19:11,788 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:57:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 19:19:27,368 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:57:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1170, loss: 0.1170 +2025-07-02 19:19:42,940 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 19:19:58,612 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:56:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1297, loss: 0.1297 +2025-07-02 19:20:14,289 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:56:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 19:20:30,002 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:56:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1028, loss: 0.1028 +2025-07-02 19:20:45,642 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 19:21:01,225 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:55:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1150, loss: 0.1150 +2025-07-02 19:21:14,090 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 19:21:37,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:21:37,541 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9974 +2025-07-02 19:21:37,542 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9467, top5_acc: 0.9974 +2025-07-02 19:22:15,271 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:55:02, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1044, loss: 0.1044 +2025-07-02 19:22:31,066 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:45, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0833, loss: 0.0833 +2025-07-02 19:22:46,827 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:54:29, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1002, loss: 0.1002 +2025-07-02 19:23:02,582 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:54:12, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 19:23:18,240 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:56, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 19:23:33,911 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:39, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 19:23:49,563 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:53:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 19:24:05,275 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:53:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1173, loss: 0.1173 +2025-07-02 19:24:20,925 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 19:24:36,571 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:52:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1350, loss: 0.1350 +2025-07-02 19:24:52,196 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:52:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1400, loss: 0.1400 +2025-07-02 19:25:04,989 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 19:25:28,418 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:25:28,428 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9974 +2025-07-02 19:25:28,428 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9460, top5_acc: 0.9974 +2025-07-02 19:26:05,989 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:50, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0968, loss: 0.0968 +2025-07-02 19:26:21,678 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:51:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0862, loss: 0.0862 +2025-07-02 19:26:37,403 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:51:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.0950, loss: 0.0950 +2025-07-02 19:26:53,103 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:51:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1197, loss: 0.1197 +2025-07-02 19:27:08,696 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0924, loss: 0.0924 +2025-07-02 19:27:24,333 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:50:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1083, loss: 0.1083 +2025-07-02 19:27:40,057 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:50:11, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 19:27:55,771 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:55, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 19:28:11,344 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 19:28:26,842 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:49:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.1078, loss: 0.1078 +2025-07-02 19:28:42,462 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:49:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1037, loss: 0.1037 +2025-07-02 19:28:55,186 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 19:29:18,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:29:18,661 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9959 +2025-07-02 19:29:18,661 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9360, top5_acc: 0.9959 +2025-07-02 19:29:56,471 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:39, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1182, loss: 0.1182 +2025-07-02 19:30:12,020 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:48:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1186, loss: 0.1186 +2025-07-02 19:30:27,547 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:48:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 19:30:43,000 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0927, loss: 0.0927 +2025-07-02 19:30:58,443 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:47:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 19:31:13,855 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:47:16, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0989, loss: 0.0989 +2025-07-02 19:31:29,340 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 19:31:44,891 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1136, loss: 0.1136 +2025-07-02 19:32:00,440 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:46:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 19:32:16,037 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:46:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 19:32:31,596 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1423, loss: 0.1423 +2025-07-02 19:32:44,384 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 19:33:08,312 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:33:08,322 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9948 +2025-07-02 19:33:08,323 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9438, top5_acc: 0.9948 +2025-07-02 19:33:46,236 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:45:27, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1012, loss: 0.1012 +2025-07-02 19:34:01,939 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:45:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0948, loss: 0.0948 +2025-07-02 19:34:17,534 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 19:34:33,169 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1236, loss: 0.1236 +2025-07-02 19:34:48,799 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:44:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1018, loss: 0.1018 +2025-07-02 19:35:04,431 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:44:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1159, loss: 0.1159 +2025-07-02 19:35:20,071 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 19:35:35,557 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:43:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 19:35:51,282 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:43:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0750, loss: 0.0750 +2025-07-02 19:36:07,027 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 19:36:22,739 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 19:36:35,594 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 19:36:59,066 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:36:59,077 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9963 +2025-07-02 19:36:59,077 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9449, top5_acc: 0.9963 +2025-07-02 19:37:36,874 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:42:15, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9950, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 19:37:52,538 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 19:38:08,177 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 19:38:23,751 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:41:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0814, loss: 0.0814 +2025-07-02 19:38:39,317 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:41:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1071, loss: 0.1071 +2025-07-02 19:38:54,853 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1078, loss: 0.1078 +2025-07-02 19:39:10,641 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 19:39:26,418 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:40:20, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1190, loss: 0.1190 +2025-07-02 19:39:42,095 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:40:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0926, loss: 0.0926 +2025-07-02 19:39:57,710 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 19:40:13,311 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:39:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1220, loss: 0.1220 +2025-07-02 19:40:26,087 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 19:40:49,241 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:40:49,252 - pyskl - INFO - +top1_acc 0.9416 +top5_acc 0.9967 +2025-07-02 19:40:49,252 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9416, top5_acc: 0.9967 +2025-07-02 19:41:26,818 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:39:03, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 19:41:42,446 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0849, loss: 0.0849 +2025-07-02 19:41:58,059 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:38:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1129, loss: 0.1129 +2025-07-02 19:42:13,692 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:38:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 19:42:29,305 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0896, loss: 0.0896 +2025-07-02 19:42:44,934 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 19:43:00,700 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:37:24, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0660, loss: 0.0660 +2025-07-02 19:43:16,274 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:37:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 19:43:31,741 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 19:43:47,247 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1185, loss: 0.1185 +2025-07-02 19:44:02,759 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:36:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1032, loss: 0.1032 +2025-07-02 19:44:15,537 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 19:44:38,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:44:38,570 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9970 +2025-07-02 19:44:38,574 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_87.pth was removed +2025-07-02 19:44:38,693 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-07-02 19:44:38,694 - pyskl - INFO - Best top1_acc is 0.9482 at 120 epoch. +2025-07-02 19:44:38,695 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9482, top5_acc: 0.9970 +2025-07-02 19:45:16,293 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:51, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 19:45:31,890 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 19:45:47,508 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:35:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0906, loss: 0.0906 +2025-07-02 19:46:03,089 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:35:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 19:46:18,619 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 19:46:34,223 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:34:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 19:46:49,833 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:34:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 19:47:05,411 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 19:47:21,013 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0924, loss: 0.0924 +2025-07-02 19:47:36,708 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:33:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1081, loss: 0.1081 +2025-07-02 19:47:52,396 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:33:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0973, loss: 0.0973 +2025-07-02 19:48:05,402 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 19:48:27,909 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:48:27,919 - pyskl - INFO - +top1_acc 0.9527 +top5_acc 0.9982 +2025-07-02 19:48:27,923 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_120.pth was removed +2025-07-02 19:48:28,034 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 19:48:28,035 - pyskl - INFO - Best top1_acc is 0.9527 at 121 epoch. +2025-07-02 19:48:28,035 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9527, top5_acc: 0.9982 +2025-07-02 19:49:05,693 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:39, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.0928, loss: 0.0928 +2025-07-02 19:49:21,256 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:32:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 19:49:37,056 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:32:06, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 19:49:52,651 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0614, loss: 0.0614 +2025-07-02 19:50:08,237 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 19:50:23,827 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:31:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0993, loss: 0.0993 +2025-07-02 19:50:39,481 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:31:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 19:50:55,126 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0694, loss: 0.0694 +2025-07-02 19:51:10,734 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:30:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 19:51:26,376 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:30:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0820, loss: 0.0820 +2025-07-02 19:51:42,003 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9956, loss_cls: 0.0844, loss: 0.0844 +2025-07-02 19:51:54,687 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 19:52:17,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:52:17,238 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9978 +2025-07-02 19:52:17,242 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_121.pth was removed +2025-07-02 19:52:17,357 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-07-02 19:52:17,357 - pyskl - INFO - Best top1_acc is 0.9530 at 122 epoch. +2025-07-02 19:52:17,358 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9530, top5_acc: 0.9978 +2025-07-02 19:52:55,021 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:29:27, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 19:53:10,647 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:29:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1097, loss: 0.1097 +2025-07-02 19:53:26,232 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 19:53:41,830 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0776, loss: 0.0776 +2025-07-02 19:53:57,521 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:28:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 19:54:13,282 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:28:05, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 19:54:28,926 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 19:54:44,447 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 19:54:59,994 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:27:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 19:55:15,492 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0962, loss: 0.0962 +2025-07-02 19:55:30,978 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0868, loss: 0.0868 +2025-07-02 19:55:43,719 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 19:56:06,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:56:06,319 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9974 +2025-07-02 19:56:06,323 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_122.pth was removed +2025-07-02 19:56:06,435 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2025-07-02 19:56:06,436 - pyskl - INFO - Best top1_acc is 0.9541 at 123 epoch. +2025-07-02 19:56:06,436 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9541, top5_acc: 0.9974 +2025-07-02 19:56:43,971 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:26:15, time: 0.375, data_time: 0.216, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0744, loss: 0.0744 +2025-07-02 19:56:59,560 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0639, loss: 0.0639 +2025-07-02 19:57:15,124 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 19:57:30,690 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:25:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 19:57:46,293 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:25:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 19:58:01,906 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 19:58:17,651 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 19:58:33,243 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:24:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 19:58:48,840 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:24:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0677, loss: 0.0677 +2025-07-02 19:59:04,350 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0483, loss: 0.0483 +2025-07-02 19:59:19,936 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 19:59:32,660 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 19:59:55,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:59:55,277 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9978 +2025-07-02 19:59:55,278 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9516, top5_acc: 0.9978 +2025-07-02 20:00:32,584 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:23:03, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 20:00:48,096 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 20:01:03,669 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 20:01:19,236 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:22:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0614, loss: 0.0614 +2025-07-02 20:01:34,796 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0636, loss: 0.0636 +2025-07-02 20:01:50,327 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0673, loss: 0.0673 +2025-07-02 20:02:05,930 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:21:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 20:02:21,517 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:21:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0741, loss: 0.0741 +2025-07-02 20:02:37,158 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0723, loss: 0.0723 +2025-07-02 20:02:52,818 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0698, loss: 0.0698 +2025-07-02 20:03:08,328 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:20:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 20:03:21,036 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 20:03:43,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:03:43,544 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9985 +2025-07-02 20:03:43,548 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_123.pth was removed +2025-07-02 20:03:43,667 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2025-07-02 20:03:43,668 - pyskl - INFO - Best top1_acc is 0.9567 at 125 epoch. +2025-07-02 20:03:43,669 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9567, top5_acc: 0.9985 +2025-07-02 20:04:21,130 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:51, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 20:04:36,633 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 20:04:52,162 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:19:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0570, loss: 0.0570 +2025-07-02 20:05:07,673 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:19:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 20:05:23,233 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 20:05:38,801 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0750, loss: 0.0750 +2025-07-02 20:05:54,354 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:18:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 20:06:09,864 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 20:06:25,417 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0674, loss: 0.0674 +2025-07-02 20:06:40,985 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:17:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0619, loss: 0.0619 +2025-07-02 20:06:56,624 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:17:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0857, loss: 0.0857 +2025-07-02 20:07:09,435 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 20:07:32,151 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:07:32,161 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9967 +2025-07-02 20:07:32,162 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9538, top5_acc: 0.9967 +2025-07-02 20:08:10,059 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:39, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 20:08:25,727 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:16:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 20:08:41,343 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:16:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 20:08:56,951 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 20:09:12,492 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0694, loss: 0.0694 +2025-07-02 20:09:27,992 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:15:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 20:09:43,526 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:15:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 20:09:59,019 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0572, loss: 0.0572 +2025-07-02 20:10:14,550 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 20:10:30,301 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:14:11, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 20:10:46,010 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0627, loss: 0.0627 +2025-07-02 20:10:58,805 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 20:11:21,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:11:21,351 - pyskl - INFO - +top1_acc 0.9501 +top5_acc 0.9974 +2025-07-02 20:11:21,351 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9501, top5_acc: 0.9974 +2025-07-02 20:11:59,063 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:27, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 20:12:14,639 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:13:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 20:12:30,239 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 20:12:45,649 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:38, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 20:13:01,113 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:12:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 20:13:16,563 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:12:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0520, loss: 0.0520 +2025-07-02 20:13:32,120 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 20:13:47,587 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0501, loss: 0.0501 +2025-07-02 20:14:03,103 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:11:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0664, loss: 0.0664 +2025-07-02 20:14:18,749 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 20:14:34,419 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 20:14:47,314 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 20:15:10,013 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:15:10,023 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9978 +2025-07-02 20:15:10,024 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9541, top5_acc: 0.9978 +2025-07-02 20:15:47,692 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:10:15, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0506, loss: 0.0506 +2025-07-02 20:16:03,255 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 20:16:18,811 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 20:16:34,389 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 20:16:49,965 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:09:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 20:17:05,568 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0660, loss: 0.0660 +2025-07-02 20:17:21,137 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 20:17:36,815 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:08:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 20:17:52,405 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:08:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 20:18:08,044 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 20:18:23,688 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 20:18:36,577 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 20:18:59,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:18:59,591 - pyskl - INFO - +top1_acc 0.9556 +top5_acc 0.9978 +2025-07-02 20:18:59,591 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9556, top5_acc: 0.9978 +2025-07-02 20:19:37,257 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:07:03, time: 0.377, data_time: 0.215, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 20:19:52,883 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 20:20:08,507 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 20:20:24,105 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:06:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 20:20:39,681 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 20:20:55,285 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 20:21:10,908 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0604, loss: 0.0604 +2025-07-02 20:21:26,480 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:05:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 20:21:42,056 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0629, loss: 0.0629 +2025-07-02 20:21:57,619 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 20:22:13,413 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:04:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 20:22:26,462 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 20:22:49,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:22:49,657 - pyskl - INFO - +top1_acc 0.9556 +top5_acc 0.9970 +2025-07-02 20:22:49,657 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9556, top5_acc: 0.9970 +2025-07-02 20:23:27,424 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:51, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 +2025-07-02 20:23:43,079 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 20:23:58,591 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:03:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 20:24:14,210 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:03:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9969, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 20:24:29,757 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 20:24:45,360 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 20:25:00,963 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:02:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0529, loss: 0.0529 +2025-07-02 20:25:16,524 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 20:25:32,046 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 20:25:47,732 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 20:26:03,458 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:01:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 20:26:16,439 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 20:26:39,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:26:39,678 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9967 +2025-07-02 20:26:39,679 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9560, top5_acc: 0.9967 +2025-07-02 20:27:17,370 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:38, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 20:27:32,875 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 20:27:48,385 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 1:00:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9975, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 20:28:03,948 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9975, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 20:28:19,448 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 20:28:35,067 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:59:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 20:28:50,673 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:59:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 20:29:06,374 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 20:29:22,093 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:27, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 20:29:37,707 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:58:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 20:29:53,313 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 20:30:06,165 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 20:30:29,310 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:30:29,321 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9970 +2025-07-02 20:30:29,321 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9545, top5_acc: 0.9970 +2025-07-02 20:31:07,096 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:26, time: 0.378, data_time: 0.218, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 20:31:22,662 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:57:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:31:38,186 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 20:31:53,625 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:32:09,125 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0492, loss: 0.0492 +2025-07-02 20:32:24,640 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:56:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 20:32:40,141 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 20:32:55,867 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 20:33:11,613 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:55:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 20:33:27,512 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:58, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 20:33:43,400 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:42, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0588, loss: 0.0588 +2025-07-02 20:33:56,393 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 20:34:19,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:34:19,612 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9967 +2025-07-02 20:34:19,612 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9538, top5_acc: 0.9967 +2025-07-02 20:34:57,475 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:54:14, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 20:35:13,098 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 20:35:28,699 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 20:35:44,299 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0559, loss: 0.0559 +2025-07-02 20:35:59,921 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:53:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 20:36:15,540 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 20:36:31,152 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 20:36:46,768 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 20:37:02,642 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:52:03, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 20:37:18,485 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:46, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 20:37:34,106 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 20:37:46,889 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 20:38:10,549 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:38:10,559 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9970 +2025-07-02 20:38:10,559 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9567, top5_acc: 0.9970 +2025-07-02 20:38:48,622 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:51:02, time: 0.381, data_time: 0.220, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 20:39:04,194 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 20:39:19,732 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:39:35,325 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:50:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 20:39:50,949 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 20:40:06,552 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 20:40:22,095 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 20:40:37,669 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:49:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 20:40:53,273 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 20:41:08,815 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 20:41:24,397 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 20:41:37,276 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 20:42:01,262 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:42:01,273 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9978 +2025-07-02 20:42:01,273 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9541, top5_acc: 0.9978 +2025-07-02 20:42:38,782 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:50, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:42:54,312 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 20:43:09,823 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 20:43:25,357 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:47:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 20:43:40,871 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 20:43:56,411 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 20:44:11,978 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:46:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 20:44:27,532 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 20:44:43,118 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 20:44:58,796 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 20:45:14,400 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:45:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 20:45:27,380 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 20:45:50,628 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:45:50,639 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9970 +2025-07-02 20:45:50,639 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9549, top5_acc: 0.9970 +2025-07-02 20:46:27,916 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:37, time: 0.373, data_time: 0.212, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 20:46:43,617 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 20:46:59,215 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:44:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 20:47:14,842 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 20:47:30,430 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 20:47:46,041 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 20:48:01,682 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 20:48:17,238 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 20:48:32,755 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 20:48:48,392 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:42:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 20:49:04,316 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:53, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 20:49:17,228 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 20:49:40,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:49:40,570 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9978 +2025-07-02 20:49:40,570 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9516, top5_acc: 0.9978 +2025-07-02 20:50:18,832 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:25, time: 0.383, data_time: 0.221, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 20:50:34,555 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:41:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 20:50:50,047 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 20:51:05,521 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 20:51:21,010 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 20:51:36,517 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:40:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 20:51:52,032 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 20:52:07,578 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 20:52:23,074 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 20:52:38,671 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 20:52:54,308 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 20:53:07,074 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 20:53:30,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:53:30,196 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9978 +2025-07-02 20:53:30,196 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9567, top5_acc: 0.9978 +2025-07-02 20:54:08,185 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:13, time: 0.380, data_time: 0.221, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 20:54:23,651 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 20:54:39,110 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 20:54:54,602 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 20:55:10,098 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:37:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 20:55:25,620 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 20:55:41,217 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 20:55:56,967 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:18, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 20:56:12,768 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:36:01, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 20:56:28,477 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 20:56:44,031 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 20:56:56,781 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 20:57:20,494 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:57:20,504 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9978 +2025-07-02 20:57:20,504 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9567, top5_acc: 0.9978 +2025-07-02 20:57:58,207 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:35:00, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 20:58:13,679 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 20:58:29,282 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 20:58:44,805 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 20:59:00,308 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 20:59:15,857 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 20:59:31,593 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 20:59:47,522 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:33:05, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 21:00:03,278 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:49, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 21:00:18,991 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 21:00:34,596 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 21:00:47,546 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 21:01:11,476 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:01:11,486 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9974 +2025-07-02 21:01:11,486 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9541, top5_acc: 0.9974 +2025-07-02 21:01:49,071 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:48, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 21:02:04,636 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 21:02:20,196 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 21:02:35,794 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 21:02:51,409 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 21:03:07,123 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:26, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 21:03:22,863 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 21:03:38,699 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:53, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 21:03:54,536 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:37, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:04:10,265 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 21:04:25,913 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:29:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 21:04:38,734 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 21:05:02,445 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:05:02,456 - pyskl - INFO - +top1_acc 0.9556 +top5_acc 0.9982 +2025-07-02 21:05:02,457 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9556, top5_acc: 0.9982 +2025-07-02 21:05:40,100 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:36, time: 0.376, data_time: 0.218, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 21:05:55,592 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 21:06:11,060 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:28:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 21:06:26,581 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 21:06:42,080 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 21:06:57,595 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0499, loss: 0.0499 +2025-07-02 21:07:13,179 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 21:07:28,854 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 21:07:44,545 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 21:08:00,329 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:26:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 21:08:15,950 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:08:28,864 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 21:08:52,590 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:08:52,600 - pyskl - INFO - +top1_acc 0.9556 +top5_acc 0.9982 +2025-07-02 21:08:52,601 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9556, top5_acc: 0.9982 +2025-07-02 21:09:30,374 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:23, time: 0.378, data_time: 0.219, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 21:09:45,841 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:25:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 21:10:01,389 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 21:10:16,937 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 21:10:32,471 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 21:10:48,037 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:24:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 21:11:03,597 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 21:11:19,146 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 21:11:34,671 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 21:11:50,474 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:56, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 21:12:06,306 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:39, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 21:12:19,244 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 21:12:43,011 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:12:43,021 - pyskl - INFO - +top1_acc 0.9582 +top5_acc 0.9982 +2025-07-02 21:12:43,025 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_125.pth was removed +2025-07-02 21:12:43,143 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. +2025-07-02 21:12:43,143 - pyskl - INFO - Best top1_acc is 0.9582 at 143 epoch. +2025-07-02 21:12:43,144 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9582, top5_acc: 0.9982 +2025-07-02 21:13:20,988 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:11, time: 0.378, data_time: 0.220, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 21:13:36,665 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 21:13:52,314 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 21:14:07,920 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 21:14:23,554 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:21:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 21:14:39,162 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 21:14:54,797 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0170, loss: 0.0170 +2025-07-02 21:15:10,364 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 21:15:25,949 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:20:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 21:15:41,818 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:43, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 21:15:57,724 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:27, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 21:16:10,481 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 21:16:34,332 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:16:34,342 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9978 +2025-07-02 21:16:34,342 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9564, top5_acc: 0.9978 +2025-07-02 21:17:12,420 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:58, time: 0.381, data_time: 0.220, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9975, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 21:17:28,127 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 21:17:43,657 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0165, loss: 0.0165 +2025-07-02 21:17:59,170 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 21:18:14,697 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 21:18:30,206 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 21:18:45,892 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:20, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 21:19:01,547 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:17:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 21:19:17,266 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 21:19:33,144 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:31, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 21:19:49,194 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:15, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 21:20:02,204 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 21:20:25,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:20:25,930 - pyskl - INFO - +top1_acc 0.9571 +top5_acc 0.9978 +2025-07-02 21:20:25,931 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9571, top5_acc: 0.9978 +2025-07-02 21:21:03,604 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:46, time: 0.377, data_time: 0.216, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 21:21:19,189 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 21:21:34,798 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 21:21:50,382 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 21:22:05,886 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 21:22:21,402 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 21:22:37,171 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:08, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 21:22:53,413 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:51, time: 0.162, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 21:23:09,490 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:35, time: 0.161, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 21:23:25,099 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 21:23:40,609 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:13:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 21:23:53,524 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 21:24:16,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:24:16,580 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9982 +2025-07-02 21:24:16,580 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9553, top5_acc: 0.9982 +2025-07-02 21:24:54,267 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:33, time: 0.377, data_time: 0.218, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 21:25:09,820 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 21:25:25,350 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:12:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 21:25:40,876 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 21:25:56,383 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 21:26:11,908 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 21:26:27,433 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 0.0153, loss: 0.0153 +2025-07-02 21:26:43,033 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 21:26:58,646 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 21:27:14,258 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 21:27:29,801 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 21:27:42,673 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 21:28:06,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:28:06,180 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9982 +2025-07-02 21:28:06,181 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9553, top5_acc: 0.9982 +2025-07-02 21:28:44,059 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:21, time: 0.379, data_time: 0.219, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 21:28:59,600 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 21:29:15,149 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 21:29:30,669 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 21:29:46,234 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 21:30:01,766 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 21:30:17,400 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 21:30:32,966 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 21:30:48,630 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:31:04,273 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 21:31:19,942 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 21:31:32,886 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 21:31:56,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:31:56,763 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9978 +2025-07-02 21:31:56,763 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9553, top5_acc: 0.9978 +2025-07-02 21:32:34,476 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:08, time: 0.377, data_time: 0.219, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 21:32:49,942 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 21:33:05,397 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 21:33:20,827 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:19, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 21:33:36,284 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 21:33:51,821 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 21:34:07,449 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 21:34:23,031 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 21:34:38,654 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 21:34:54,163 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 21:35:09,699 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 21:35:22,556 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 21:35:46,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:35:46,175 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9978 +2025-07-02 21:35:46,175 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9564, top5_acc: 0.9978 +2025-07-02 21:36:23,704 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:56, time: 0.375, data_time: 0.215, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 21:36:39,280 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 21:36:54,854 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 21:37:10,414 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 21:37:25,978 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 21:37:41,540 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 21:37:57,089 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 21:38:12,609 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 21:38:28,218 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 21:38:43,777 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 21:38:59,338 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:39:12,134 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 21:39:35,902 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:39:35,912 - pyskl - INFO - +top1_acc 0.9593 +top5_acc 0.9978 +2025-07-02 21:39:35,916 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_143.pth was removed +2025-07-02 21:39:36,035 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth. +2025-07-02 21:39:36,035 - pyskl - INFO - Best top1_acc is 0.9593 at 150 epoch. +2025-07-02 21:39:36,036 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9593, top5_acc: 0.9978 +2025-07-02 21:39:43,058 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 21:41:10,784 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 21:41:10,784 - pyskl - INFO - top1_acc: 0.9604 +2025-07-02 21:41:10,784 - pyskl - INFO - top5_acc: 0.9974 +2025-07-02 21:41:10,785 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/k_3/best_top1_acc_epoch_150.pth +2025-07-02 21:42:39,173 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 21:42:39,174 - pyskl - INFO - top1_acc: 0.9604 +2025-07-02 21:42:39,174 - pyskl - INFO - top5_acc: 0.9974 diff --git a/pku_mmd_xsub/k_3/20250702_120913.log.json b/pku_mmd_xsub/k_3/20250702_120913.log.json new file mode 100644 index 0000000000000000000000000000000000000000..b8724fc787af99fc6ca5c875436eeeb4abca39f1 --- /dev/null +++ b/pku_mmd_xsub/k_3/20250702_120913.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. 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"loss_cls": 0.03971, "loss": 0.03971, "time": 0.15642} +{"mode": "train", "epoch": 148, "iter": 1100, "lr": 1e-05, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99312, "top5_acc": 0.99938, "loss_cls": 0.04047, "loss": 0.04047, "time": 0.15669} +{"mode": "val", "epoch": 148, "iter": 169, "lr": 1e-05, "top1_acc": 0.95525, "top5_acc": 0.99778} +{"mode": "train", "epoch": 149, "iter": 100, "lr": 1e-05, "memory": 3566, "data_time": 0.21913, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02986, "loss": 0.02986, "time": 0.37708} +{"mode": "train", "epoch": 149, "iter": 200, "lr": 1e-05, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99312, "top5_acc": 1.0, "loss_cls": 0.03278, "loss": 0.03278, "time": 0.15466} +{"mode": "train", "epoch": 149, "iter": 300, "lr": 1e-05, "memory": 3566, "data_time": 0.00022, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.0237, "loss": 0.0237, "time": 0.15455} +{"mode": "train", "epoch": 149, "iter": 400, "lr": 1e-05, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99438, "top5_acc": 0.99875, "loss_cls": 0.03756, "loss": 0.03756, "time": 0.15429} +{"mode": "train", "epoch": 149, "iter": 500, "lr": 1e-05, "memory": 3566, "data_time": 0.0002, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.02187, "loss": 0.02187, "time": 0.15456} +{"mode": "train", "epoch": 149, "iter": 600, "lr": 1e-05, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.9925, "top5_acc": 0.99875, "loss_cls": 0.03975, "loss": 0.03975, "time": 0.15536} +{"mode": "train", "epoch": 149, "iter": 700, "lr": 1e-05, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02135, "loss": 0.02135, "time": 0.15628} +{"mode": "train", "epoch": 149, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.03034, "loss": 0.03034, "time": 0.1558} +{"mode": "train", "epoch": 149, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99438, "top5_acc": 0.99875, "loss_cls": 0.03828, "loss": 0.03828, "time": 0.15623} +{"mode": "train", "epoch": 149, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.99, "top5_acc": 0.99938, "loss_cls": 0.05428, "loss": 0.05428, "time": 0.15509} +{"mode": "train", "epoch": 149, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00023, "top1_acc": 0.99188, "top5_acc": 0.99875, "loss_cls": 0.04249, "loss": 0.04249, "time": 0.15536} +{"mode": "val", "epoch": 149, "iter": 169, "lr": 0.0, "top1_acc": 0.95636, "top5_acc": 0.99778} +{"mode": "train", "epoch": 150, "iter": 100, "lr": 0.0, "memory": 3566, "data_time": 0.21489, "top1_acc": 0.99375, "top5_acc": 0.99938, "loss_cls": 0.03404, "loss": 0.03404, "time": 0.37524} +{"mode": "train", "epoch": 150, "iter": 200, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02373, "loss": 0.02373, "time": 0.15575} +{"mode": "train", "epoch": 150, "iter": 300, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.0219, "loss": 0.0219, "time": 0.15574} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.01839, "loss": 0.01839, "time": 0.15559} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99438, "top5_acc": 0.99875, "loss_cls": 0.0311, "loss": 0.0311, "time": 0.15563} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99312, "top5_acc": 1.0, "loss_cls": 0.03201, "loss": 0.03201, "time": 0.15562} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.995, "top5_acc": 0.99938, "loss_cls": 0.02568, "loss": 0.02568, "time": 0.15548} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 3566, "data_time": 0.00017, "top1_acc": 0.995, "top5_acc": 0.99875, "loss_cls": 0.03852, "loss": 0.03852, "time": 0.15519} +{"mode": "train", "epoch": 150, "iter": 900, "lr": 0.0, "memory": 3566, "data_time": 0.00019, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.02427, "loss": 0.02427, "time": 0.15609} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00021, "top1_acc": 0.995, "top5_acc": 0.99938, "loss_cls": 0.03474, "loss": 0.03474, "time": 0.15558} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00023, "top1_acc": 0.99562, "top5_acc": 0.99938, "loss_cls": 0.02581, "loss": 0.02581, "time": 0.1556} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.95932, "top5_acc": 0.99778} diff --git a/pku_mmd_xsub/k_3/best_pred.pkl b/pku_mmd_xsub/k_3/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..e2ddbf46da1d789f4631435918897f2872e7f3fb --- /dev/null +++ b/pku_mmd_xsub/k_3/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fcac12335b319ee1c6ab0c33f13b00377d77daa39310ba4584dd04e16b41627d +size 954377 diff --git a/pku_mmd_xsub/k_3/best_top1_acc_epoch_150.pth b/pku_mmd_xsub/k_3/best_top1_acc_epoch_150.pth new file mode 100644 index 0000000000000000000000000000000000000000..6f715a436fe8c7bbc747bbe54fb80cb95ed2d830 --- /dev/null +++ b/pku_mmd_xsub/k_3/best_top1_acc_epoch_150.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a9e5a25a321d15b65c6be2f90fc5e2e76e0e2839215ad60469184929cbc7f812 +size 32917041 diff --git a/pku_mmd_xsub/k_3/k_3.py b/pku_mmd_xsub/k_3/k_3.py new file mode 100644 index 0000000000000000000000000000000000000000..cb593f135c59b0bd77dade3c35e53b205ae68171 --- /dev/null +++ b/pku_mmd_xsub/k_3/k_3.py @@ -0,0 +1,98 @@ +modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/k_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/km/20250702_121123.log b/pku_mmd_xsub/km/20250702_121123.log new file mode 100644 index 0000000000000000000000000000000000000000..00bf427df711fdec0d338a750d54ba6ea7c37a95 --- /dev/null +++ b/pku_mmd_xsub/km/20250702_121123.log @@ -0,0 +1,2835 @@ +2025-07-02 12:11:23,742 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] +CUDA available: True +GPU 0: GeForce RTX 3090 +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.2, V11.2.67 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 +PyTorch: 1.9.1 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.1 +OpenCV: 4.6.0 +MMCV: 1.6.0 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.2 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 12:11:24,028 - pyskl - INFO - Config: modality = 'km' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/km' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 12:11:24,029 - pyskl - INFO - Set random seed to 1637782240, deterministic: False +2025-07-02 12:11:27,617 - pyskl - INFO - 18837 videos remain after valid thresholding +2025-07-02 12:11:33,715 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 12:11:33,719 - pyskl - INFO - Start running, host: lhd@cripacsir118, work_dir: /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km +2025-07-02 12:11:33,719 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 12:11:33,719 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 12:11:33,719 - pyskl - INFO - Checkpoints will be saved to /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km by HardDiskBackend. +2025-07-02 12:12:09,773 - pyskl - INFO - Epoch [1][100/1178] lr: 2.500e-02, eta: 17:41:04, time: 0.361, data_time: 0.207, memory: 3565, top1_acc: 0.0725, top5_acc: 0.2350, loss_cls: 4.2573, loss: 4.2573 +2025-07-02 12:12:24,589 - pyskl - INFO - Epoch [1][200/1178] lr: 2.500e-02, eta: 12:28:09, time: 0.148, data_time: 0.000, memory: 3565, top1_acc: 0.0887, top5_acc: 0.2994, loss_cls: 4.1121, loss: 4.1121 +2025-07-02 12:12:39,491 - pyskl - INFO - Epoch [1][300/1178] lr: 2.500e-02, eta: 10:44:31, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1087, top5_acc: 0.3656, loss_cls: 3.9182, loss: 3.9182 +2025-07-02 12:12:54,433 - pyskl - INFO - Epoch [1][400/1178] lr: 2.500e-02, eta: 9:52:52, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1087, top5_acc: 0.4088, loss_cls: 3.8099, loss: 3.8099 +2025-07-02 12:13:09,380 - pyskl - INFO - Epoch [1][500/1178] lr: 2.500e-02, eta: 9:21:49, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1444, top5_acc: 0.4713, loss_cls: 3.5943, loss: 3.5943 +2025-07-02 12:13:24,315 - pyskl - INFO - Epoch [1][600/1178] lr: 2.500e-02, eta: 9:00:57, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.1700, top5_acc: 0.5269, loss_cls: 3.4252, loss: 3.4252 +2025-07-02 12:13:39,306 - pyskl - INFO - Epoch [1][700/1178] lr: 2.500e-02, eta: 8:46:14, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.1975, top5_acc: 0.5863, loss_cls: 3.2199, loss: 3.2199 +2025-07-02 12:13:54,350 - pyskl - INFO - Epoch [1][800/1178] lr: 2.500e-02, eta: 8:35:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.2519, top5_acc: 0.6400, loss_cls: 3.0660, loss: 3.0660 +2025-07-02 12:14:09,585 - pyskl - INFO - Epoch [1][900/1178] lr: 2.500e-02, eta: 8:27:24, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.2900, top5_acc: 0.6956, loss_cls: 2.8570, loss: 2.8570 +2025-07-02 12:14:24,806 - pyskl - INFO - Epoch [1][1000/1178] lr: 2.500e-02, eta: 8:20:58, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.3237, top5_acc: 0.7362, loss_cls: 2.7684, loss: 2.7684 +2025-07-02 12:14:40,137 - pyskl - INFO - Epoch [1][1100/1178] lr: 2.500e-02, eta: 8:15:57, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.3638, top5_acc: 0.7450, loss_cls: 2.6545, loss: 2.6545 +2025-07-02 12:14:52,597 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 12:15:15,372 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:15:15,381 - pyskl - INFO - +top1_acc 0.2870 +top5_acc 0.6309 +2025-07-02 12:15:15,506 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 12:15:15,507 - pyskl - INFO - Best top1_acc is 0.2870 at 1 epoch. +2025-07-02 12:15:15,508 - pyskl - INFO - Epoch(val) [1][169] top1_acc: 0.2870, top5_acc: 0.6309 +2025-07-02 12:15:50,580 - pyskl - INFO - Epoch [2][100/1178] lr: 2.500e-02, eta: 8:26:40, time: 0.351, data_time: 0.201, memory: 3565, top1_acc: 0.3544, top5_acc: 0.7969, loss_cls: 2.5232, loss: 2.5232 +2025-07-02 12:16:05,514 - pyskl - INFO - Epoch [2][200/1178] lr: 2.500e-02, eta: 8:21:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.4200, top5_acc: 0.8237, loss_cls: 2.3801, loss: 2.3801 +2025-07-02 12:16:20,468 - pyskl - INFO - Epoch [2][300/1178] lr: 2.500e-02, eta: 8:16:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.4325, top5_acc: 0.8256, loss_cls: 2.3741, loss: 2.3741 +2025-07-02 12:16:35,538 - pyskl - INFO - Epoch [2][400/1178] lr: 2.500e-02, eta: 8:12:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4800, top5_acc: 0.8562, loss_cls: 2.2089, loss: 2.2089 +2025-07-02 12:16:50,632 - pyskl - INFO - Epoch [2][500/1178] lr: 2.499e-02, eta: 8:09:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.4831, top5_acc: 0.8519, loss_cls: 2.1415, loss: 2.1415 +2025-07-02 12:17:05,591 - pyskl - INFO - Epoch [2][600/1178] lr: 2.499e-02, eta: 8:06:08, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5281, top5_acc: 0.8812, loss_cls: 2.0124, loss: 2.0124 +2025-07-02 12:17:20,668 - pyskl - INFO - Epoch [2][700/1178] lr: 2.499e-02, eta: 8:03:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5100, top5_acc: 0.8700, loss_cls: 2.0850, loss: 2.0850 +2025-07-02 12:17:35,653 - pyskl - INFO - Epoch [2][800/1178] lr: 2.499e-02, eta: 8:00:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5400, top5_acc: 0.9056, loss_cls: 1.8911, loss: 1.8911 +2025-07-02 12:17:50,643 - pyskl - INFO - Epoch [2][900/1178] lr: 2.499e-02, eta: 7:58:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.5681, top5_acc: 0.8931, loss_cls: 1.8354, loss: 1.8354 +2025-07-02 12:18:05,861 - pyskl - INFO - Epoch [2][1000/1178] lr: 2.499e-02, eta: 7:56:26, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.5469, top5_acc: 0.8950, loss_cls: 1.9170, loss: 1.9170 +2025-07-02 12:18:20,954 - pyskl - INFO - Epoch [2][1100/1178] lr: 2.499e-02, eta: 7:54:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.5744, top5_acc: 0.9156, loss_cls: 1.8046, loss: 1.8046 +2025-07-02 12:18:33,231 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 12:18:55,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:18:56,002 - pyskl - INFO - +top1_acc 0.5814 +top5_acc 0.9142 +2025-07-02 12:18:56,006 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_1.pth was removed +2025-07-02 12:18:56,117 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 12:18:56,117 - pyskl - INFO - Best top1_acc is 0.5814 at 2 epoch. +2025-07-02 12:18:56,118 - pyskl - INFO - Epoch(val) [2][169] top1_acc: 0.5814, top5_acc: 0.9142 +2025-07-02 12:19:31,688 - pyskl - INFO - Epoch [3][100/1178] lr: 2.499e-02, eta: 8:01:44, time: 0.356, data_time: 0.207, memory: 3565, top1_acc: 0.6038, top5_acc: 0.9081, loss_cls: 1.7523, loss: 1.7523 +2025-07-02 12:19:46,561 - pyskl - INFO - Epoch [3][200/1178] lr: 2.499e-02, eta: 7:59:30, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6000, top5_acc: 0.9219, loss_cls: 1.7279, loss: 1.7279 +2025-07-02 12:20:01,471 - pyskl - INFO - Epoch [3][300/1178] lr: 2.499e-02, eta: 7:57:28, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6056, top5_acc: 0.9194, loss_cls: 1.7230, loss: 1.7230 +2025-07-02 12:20:16,437 - pyskl - INFO - Epoch [3][400/1178] lr: 2.499e-02, eta: 7:55:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6481, top5_acc: 0.9275, loss_cls: 1.5937, loss: 1.5937 +2025-07-02 12:20:31,483 - pyskl - INFO - Epoch [3][500/1178] lr: 2.498e-02, eta: 7:53:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6506, top5_acc: 0.9456, loss_cls: 1.5501, loss: 1.5501 +2025-07-02 12:20:46,489 - pyskl - INFO - Epoch [3][600/1178] lr: 2.498e-02, eta: 7:52:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6681, top5_acc: 0.9281, loss_cls: 1.5434, loss: 1.5434 +2025-07-02 12:21:01,526 - pyskl - INFO - Epoch [3][700/1178] lr: 2.498e-02, eta: 7:50:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6525, top5_acc: 0.9306, loss_cls: 1.5530, loss: 1.5530 +2025-07-02 12:21:16,540 - pyskl - INFO - Epoch [3][800/1178] lr: 2.498e-02, eta: 7:49:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6556, top5_acc: 0.9356, loss_cls: 1.5356, loss: 1.5356 +2025-07-02 12:21:31,562 - pyskl - INFO - Epoch [3][900/1178] lr: 2.498e-02, eta: 7:48:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6419, top5_acc: 0.9413, loss_cls: 1.5275, loss: 1.5275 +2025-07-02 12:21:46,762 - pyskl - INFO - Epoch [3][1000/1178] lr: 2.498e-02, eta: 7:47:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6631, top5_acc: 0.9369, loss_cls: 1.5343, loss: 1.5343 +2025-07-02 12:22:02,047 - pyskl - INFO - Epoch [3][1100/1178] lr: 2.498e-02, eta: 7:45:59, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.6675, top5_acc: 0.9381, loss_cls: 1.4791, loss: 1.4791 +2025-07-02 12:22:14,518 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 12:22:37,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:22:37,662 - pyskl - INFO - +top1_acc 0.6768 +top5_acc 0.9486 +2025-07-02 12:22:37,665 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_2.pth was removed +2025-07-02 12:22:37,785 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 12:22:37,786 - pyskl - INFO - Best top1_acc is 0.6768 at 3 epoch. +2025-07-02 12:22:37,787 - pyskl - INFO - Epoch(val) [3][169] top1_acc: 0.6768, top5_acc: 0.9486 +2025-07-02 12:23:13,756 - pyskl - INFO - Epoch [4][100/1178] lr: 2.497e-02, eta: 7:51:15, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.7037, top5_acc: 0.9463, loss_cls: 1.4186, loss: 1.4186 +2025-07-02 12:23:28,732 - pyskl - INFO - Epoch [4][200/1178] lr: 2.497e-02, eta: 7:49:56, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.6956, top5_acc: 0.9463, loss_cls: 1.3894, loss: 1.3894 +2025-07-02 12:23:43,795 - pyskl - INFO - Epoch [4][300/1178] lr: 2.497e-02, eta: 7:48:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7000, top5_acc: 0.9513, loss_cls: 1.3550, loss: 1.3550 +2025-07-02 12:23:58,691 - pyskl - INFO - Epoch [4][400/1178] lr: 2.497e-02, eta: 7:47:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6963, top5_acc: 0.9481, loss_cls: 1.4046, loss: 1.4046 +2025-07-02 12:24:13,637 - pyskl - INFO - Epoch [4][500/1178] lr: 2.497e-02, eta: 7:46:16, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.6950, top5_acc: 0.9506, loss_cls: 1.3863, loss: 1.3863 +2025-07-02 12:24:28,647 - pyskl - INFO - Epoch [4][600/1178] lr: 2.497e-02, eta: 7:45:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7081, top5_acc: 0.9575, loss_cls: 1.3004, loss: 1.3004 +2025-07-02 12:24:43,622 - pyskl - INFO - Epoch [4][700/1178] lr: 2.496e-02, eta: 7:44:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7113, top5_acc: 0.9519, loss_cls: 1.3255, loss: 1.3255 +2025-07-02 12:24:58,680 - pyskl - INFO - Epoch [4][800/1178] lr: 2.496e-02, eta: 7:43:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7406, top5_acc: 0.9594, loss_cls: 1.2416, loss: 1.2416 +2025-07-02 12:25:13,834 - pyskl - INFO - Epoch [4][900/1178] lr: 2.496e-02, eta: 7:42:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.6994, top5_acc: 0.9525, loss_cls: 1.3692, loss: 1.3692 +2025-07-02 12:25:28,899 - pyskl - INFO - Epoch [4][1000/1178] lr: 2.496e-02, eta: 7:41:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7219, top5_acc: 0.9431, loss_cls: 1.3479, loss: 1.3479 +2025-07-02 12:25:43,836 - pyskl - INFO - Epoch [4][1100/1178] lr: 2.496e-02, eta: 7:40:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7238, top5_acc: 0.9544, loss_cls: 1.2623, loss: 1.2623 +2025-07-02 12:25:56,130 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 12:26:19,015 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:26:19,025 - pyskl - INFO - +top1_acc 0.6990 +top5_acc 0.9519 +2025-07-02 12:26:19,028 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_3.pth was removed +2025-07-02 12:26:19,149 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 12:26:19,150 - pyskl - INFO - Best top1_acc is 0.6990 at 4 epoch. +2025-07-02 12:26:19,151 - pyskl - INFO - Epoch(val) [4][169] top1_acc: 0.6990, top5_acc: 0.9519 +2025-07-02 12:26:55,045 - pyskl - INFO - Epoch [5][100/1178] lr: 2.495e-02, eta: 7:44:11, time: 0.359, data_time: 0.209, memory: 3565, top1_acc: 0.7388, top5_acc: 0.9587, loss_cls: 1.2054, loss: 1.2054 +2025-07-02 12:27:10,002 - pyskl - INFO - Epoch [5][200/1178] lr: 2.495e-02, eta: 7:43:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7519, top5_acc: 0.9494, loss_cls: 1.2503, loss: 1.2503 +2025-07-02 12:27:25,079 - pyskl - INFO - Epoch [5][300/1178] lr: 2.495e-02, eta: 7:42:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7444, top5_acc: 0.9600, loss_cls: 1.2134, loss: 1.2134 +2025-07-02 12:27:40,151 - pyskl - INFO - Epoch [5][400/1178] lr: 2.495e-02, eta: 7:41:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7512, top5_acc: 0.9625, loss_cls: 1.1866, loss: 1.1866 +2025-07-02 12:27:55,160 - pyskl - INFO - Epoch [5][500/1178] lr: 2.495e-02, eta: 7:40:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7406, top5_acc: 0.9613, loss_cls: 1.1860, loss: 1.1860 +2025-07-02 12:28:10,222 - pyskl - INFO - Epoch [5][600/1178] lr: 2.494e-02, eta: 7:39:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7544, top5_acc: 0.9587, loss_cls: 1.1782, loss: 1.1782 +2025-07-02 12:28:25,341 - pyskl - INFO - Epoch [5][700/1178] lr: 2.494e-02, eta: 7:38:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7512, top5_acc: 0.9619, loss_cls: 1.1869, loss: 1.1869 +2025-07-02 12:28:40,643 - pyskl - INFO - Epoch [5][800/1178] lr: 2.494e-02, eta: 7:38:14, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7550, top5_acc: 0.9694, loss_cls: 1.1545, loss: 1.1545 +2025-07-02 12:28:55,828 - pyskl - INFO - Epoch [5][900/1178] lr: 2.494e-02, eta: 7:37:31, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7688, top5_acc: 0.9631, loss_cls: 1.1305, loss: 1.1305 +2025-07-02 12:29:11,087 - pyskl - INFO - Epoch [5][1000/1178] lr: 2.494e-02, eta: 7:36:52, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7569, top5_acc: 0.9575, loss_cls: 1.1845, loss: 1.1845 +2025-07-02 12:29:26,280 - pyskl - INFO - Epoch [5][1100/1178] lr: 2.493e-02, eta: 7:36:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9600, loss_cls: 1.1347, loss: 1.1347 +2025-07-02 12:29:38,698 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 12:30:01,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:30:01,800 - pyskl - INFO - +top1_acc 0.6905 +top5_acc 0.9549 +2025-07-02 12:30:01,800 - pyskl - INFO - Epoch(val) [5][169] top1_acc: 0.6905, top5_acc: 0.9549 +2025-07-02 12:30:37,484 - pyskl - INFO - Epoch [6][100/1178] lr: 2.493e-02, eta: 7:39:07, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.7675, top5_acc: 0.9619, loss_cls: 1.1534, loss: 1.1534 +2025-07-02 12:30:52,522 - pyskl - INFO - Epoch [6][200/1178] lr: 2.493e-02, eta: 7:38:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7575, top5_acc: 0.9606, loss_cls: 1.1586, loss: 1.1586 +2025-07-02 12:31:07,586 - pyskl - INFO - Epoch [6][300/1178] lr: 2.492e-02, eta: 7:37:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7738, top5_acc: 0.9625, loss_cls: 1.1231, loss: 1.1231 +2025-07-02 12:31:22,643 - pyskl - INFO - Epoch [6][400/1178] lr: 2.492e-02, eta: 7:36:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7812, top5_acc: 0.9681, loss_cls: 1.0714, loss: 1.0714 +2025-07-02 12:31:37,696 - pyskl - INFO - Epoch [6][500/1178] lr: 2.492e-02, eta: 7:36:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7706, top5_acc: 0.9725, loss_cls: 1.0751, loss: 1.0751 +2025-07-02 12:31:52,757 - pyskl - INFO - Epoch [6][600/1178] lr: 2.492e-02, eta: 7:35:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7625, top5_acc: 0.9650, loss_cls: 1.1317, loss: 1.1317 +2025-07-02 12:32:07,810 - pyskl - INFO - Epoch [6][700/1178] lr: 2.491e-02, eta: 7:34:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7756, top5_acc: 0.9644, loss_cls: 1.0701, loss: 1.0701 +2025-07-02 12:32:22,892 - pyskl - INFO - Epoch [6][800/1178] lr: 2.491e-02, eta: 7:34:02, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7775, top5_acc: 0.9606, loss_cls: 1.0930, loss: 1.0930 +2025-07-02 12:32:38,037 - pyskl - INFO - Epoch [6][900/1178] lr: 2.491e-02, eta: 7:33:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7669, top5_acc: 0.9569, loss_cls: 1.0983, loss: 1.0983 +2025-07-02 12:32:53,150 - pyskl - INFO - Epoch [6][1000/1178] lr: 2.491e-02, eta: 7:32:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7788, top5_acc: 0.9606, loss_cls: 1.0809, loss: 1.0809 +2025-07-02 12:33:08,120 - pyskl - INFO - Epoch [6][1100/1178] lr: 2.490e-02, eta: 7:32:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7525, top5_acc: 0.9650, loss_cls: 1.1396, loss: 1.1396 +2025-07-02 12:33:20,286 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 12:33:43,415 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:33:43,425 - pyskl - INFO - +top1_acc 0.7212 +top5_acc 0.9649 +2025-07-02 12:33:43,429 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_4.pth was removed +2025-07-02 12:33:43,548 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 12:33:43,549 - pyskl - INFO - Best top1_acc is 0.7212 at 6 epoch. +2025-07-02 12:33:43,550 - pyskl - INFO - Epoch(val) [6][169] top1_acc: 0.7212, top5_acc: 0.9649 +2025-07-02 12:34:19,669 - pyskl - INFO - Epoch [7][100/1178] lr: 2.490e-02, eta: 7:34:38, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.7731, top5_acc: 0.9656, loss_cls: 1.1053, loss: 1.1053 +2025-07-02 12:34:34,604 - pyskl - INFO - Epoch [7][200/1178] lr: 2.490e-02, eta: 7:33:55, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.7781, top5_acc: 0.9656, loss_cls: 1.0431, loss: 1.0431 +2025-07-02 12:34:49,590 - pyskl - INFO - Epoch [7][300/1178] lr: 2.489e-02, eta: 7:33:13, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7869, top5_acc: 0.9625, loss_cls: 1.0774, loss: 1.0774 +2025-07-02 12:35:04,642 - pyskl - INFO - Epoch [7][400/1178] lr: 2.489e-02, eta: 7:32:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7881, top5_acc: 0.9712, loss_cls: 1.0130, loss: 1.0130 +2025-07-02 12:35:19,733 - pyskl - INFO - Epoch [7][500/1178] lr: 2.489e-02, eta: 7:31:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8025, top5_acc: 0.9644, loss_cls: 1.0060, loss: 1.0060 +2025-07-02 12:35:34,988 - pyskl - INFO - Epoch [7][600/1178] lr: 2.488e-02, eta: 7:31:24, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7931, top5_acc: 0.9644, loss_cls: 1.0535, loss: 1.0535 +2025-07-02 12:35:50,164 - pyskl - INFO - Epoch [7][700/1178] lr: 2.488e-02, eta: 7:30:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7788, top5_acc: 0.9744, loss_cls: 1.0225, loss: 1.0225 +2025-07-02 12:36:05,234 - pyskl - INFO - Epoch [7][800/1178] lr: 2.488e-02, eta: 7:30:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7937, top5_acc: 0.9681, loss_cls: 1.0276, loss: 1.0276 +2025-07-02 12:36:20,308 - pyskl - INFO - Epoch [7][900/1178] lr: 2.487e-02, eta: 7:29:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7856, top5_acc: 0.9712, loss_cls: 1.0314, loss: 1.0314 +2025-07-02 12:36:35,411 - pyskl - INFO - Epoch [7][1000/1178] lr: 2.487e-02, eta: 7:29:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8044, top5_acc: 0.9656, loss_cls: 1.0070, loss: 1.0070 +2025-07-02 12:36:50,460 - pyskl - INFO - Epoch [7][1100/1178] lr: 2.487e-02, eta: 7:28:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8037, top5_acc: 0.9688, loss_cls: 1.0067, loss: 1.0067 +2025-07-02 12:37:02,892 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 12:37:25,751 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:37:25,761 - pyskl - INFO - +top1_acc 0.3680 +top5_acc 0.8421 +2025-07-02 12:37:25,762 - pyskl - INFO - Epoch(val) [7][169] top1_acc: 0.3680, top5_acc: 0.8421 +2025-07-02 12:38:01,878 - pyskl - INFO - Epoch [8][100/1178] lr: 2.486e-02, eta: 7:30:35, time: 0.361, data_time: 0.211, memory: 3565, top1_acc: 0.7931, top5_acc: 0.9712, loss_cls: 1.0057, loss: 1.0057 +2025-07-02 12:38:16,915 - pyskl - INFO - Epoch [8][200/1178] lr: 2.486e-02, eta: 7:29:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.7825, top5_acc: 0.9688, loss_cls: 1.0389, loss: 1.0389 +2025-07-02 12:38:31,935 - pyskl - INFO - Epoch [8][300/1178] lr: 2.486e-02, eta: 7:29:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8013, top5_acc: 0.9637, loss_cls: 0.9957, loss: 0.9957 +2025-07-02 12:38:47,023 - pyskl - INFO - Epoch [8][400/1178] lr: 2.485e-02, eta: 7:28:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9675, loss_cls: 0.9819, loss: 0.9819 +2025-07-02 12:39:02,187 - pyskl - INFO - Epoch [8][500/1178] lr: 2.485e-02, eta: 7:28:15, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9700, loss_cls: 0.9614, loss: 0.9614 +2025-07-02 12:39:17,444 - pyskl - INFO - Epoch [8][600/1178] lr: 2.485e-02, eta: 7:27:45, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.7981, top5_acc: 0.9725, loss_cls: 0.9802, loss: 0.9802 +2025-07-02 12:39:32,648 - pyskl - INFO - Epoch [8][700/1178] lr: 2.484e-02, eta: 7:27:14, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8019, top5_acc: 0.9700, loss_cls: 0.9962, loss: 0.9962 +2025-07-02 12:39:47,793 - pyskl - INFO - Epoch [8][800/1178] lr: 2.484e-02, eta: 7:26:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9744, loss_cls: 0.9333, loss: 0.9333 +2025-07-02 12:40:02,990 - pyskl - INFO - Epoch [8][900/1178] lr: 2.484e-02, eta: 7:26:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7794, top5_acc: 0.9694, loss_cls: 1.0228, loss: 1.0228 +2025-07-02 12:40:18,230 - pyskl - INFO - Epoch [8][1000/1178] lr: 2.483e-02, eta: 7:25:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7987, top5_acc: 0.9769, loss_cls: 0.9567, loss: 0.9567 +2025-07-02 12:40:33,472 - pyskl - INFO - Epoch [8][1100/1178] lr: 2.483e-02, eta: 7:25:13, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7887, top5_acc: 0.9663, loss_cls: 0.9884, loss: 0.9884 +2025-07-02 12:40:45,886 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 12:41:08,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:41:08,900 - pyskl - INFO - +top1_acc 0.4290 +top5_acc 0.7944 +2025-07-02 12:41:08,900 - pyskl - INFO - Epoch(val) [8][169] top1_acc: 0.4290, top5_acc: 0.7944 +2025-07-02 12:41:44,575 - pyskl - INFO - Epoch [9][100/1178] lr: 2.482e-02, eta: 7:26:52, time: 0.357, data_time: 0.207, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9681, loss_cls: 0.9519, loss: 0.9519 +2025-07-02 12:41:59,604 - pyskl - INFO - Epoch [9][200/1178] lr: 2.482e-02, eta: 7:26:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9688, loss_cls: 0.9283, loss: 0.9283 +2025-07-02 12:42:14,636 - pyskl - INFO - Epoch [9][300/1178] lr: 2.481e-02, eta: 7:25:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8087, top5_acc: 0.9706, loss_cls: 0.9880, loss: 0.9880 +2025-07-02 12:42:29,696 - pyskl - INFO - Epoch [9][400/1178] lr: 2.481e-02, eta: 7:25:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9688, loss_cls: 0.9851, loss: 0.9851 +2025-07-02 12:42:44,818 - pyskl - INFO - Epoch [9][500/1178] lr: 2.481e-02, eta: 7:24:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9712, loss_cls: 0.9620, loss: 0.9620 +2025-07-02 12:42:59,988 - pyskl - INFO - Epoch [9][600/1178] lr: 2.480e-02, eta: 7:24:12, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8006, top5_acc: 0.9775, loss_cls: 0.9493, loss: 0.9493 +2025-07-02 12:43:15,134 - pyskl - INFO - Epoch [9][700/1178] lr: 2.480e-02, eta: 7:23:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7919, top5_acc: 0.9719, loss_cls: 0.9851, loss: 0.9851 +2025-07-02 12:43:30,276 - pyskl - INFO - Epoch [9][800/1178] lr: 2.479e-02, eta: 7:23:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8075, top5_acc: 0.9738, loss_cls: 0.9469, loss: 0.9469 +2025-07-02 12:43:45,433 - pyskl - INFO - Epoch [9][900/1178] lr: 2.479e-02, eta: 7:22:44, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8081, top5_acc: 0.9706, loss_cls: 0.9487, loss: 0.9487 +2025-07-02 12:44:00,515 - pyskl - INFO - Epoch [9][1000/1178] lr: 2.479e-02, eta: 7:22:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8100, top5_acc: 0.9669, loss_cls: 0.9820, loss: 0.9820 +2025-07-02 12:44:15,585 - pyskl - INFO - Epoch [9][1100/1178] lr: 2.478e-02, eta: 7:21:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9762, loss_cls: 0.9273, loss: 0.9273 +2025-07-02 12:44:28,013 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 12:44:50,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:44:50,675 - pyskl - INFO - +top1_acc 0.7167 +top5_acc 0.9534 +2025-07-02 12:44:50,676 - pyskl - INFO - Epoch(val) [9][169] top1_acc: 0.7167, top5_acc: 0.9534 +2025-07-02 12:45:26,592 - pyskl - INFO - Epoch [10][100/1178] lr: 2.477e-02, eta: 7:23:12, time: 0.359, data_time: 0.209, memory: 3565, top1_acc: 0.8019, top5_acc: 0.9744, loss_cls: 0.9246, loss: 0.9246 +2025-07-02 12:45:41,672 - pyskl - INFO - Epoch [10][200/1178] lr: 2.477e-02, eta: 7:22:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8194, top5_acc: 0.9706, loss_cls: 0.9013, loss: 0.9013 +2025-07-02 12:45:56,743 - pyskl - INFO - Epoch [10][300/1178] lr: 2.477e-02, eta: 7:22:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8294, top5_acc: 0.9712, loss_cls: 0.8911, loss: 0.8911 +2025-07-02 12:46:11,822 - pyskl - INFO - Epoch [10][400/1178] lr: 2.476e-02, eta: 7:21:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7931, top5_acc: 0.9644, loss_cls: 1.0181, loss: 1.0181 +2025-07-02 12:46:26,826 - pyskl - INFO - Epoch [10][500/1178] lr: 2.476e-02, eta: 7:21:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8331, top5_acc: 0.9769, loss_cls: 0.8711, loss: 0.8711 +2025-07-02 12:46:41,852 - pyskl - INFO - Epoch [10][600/1178] lr: 2.475e-02, eta: 7:20:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9756, loss_cls: 0.8796, loss: 0.8796 +2025-07-02 12:46:56,984 - pyskl - INFO - Epoch [10][700/1178] lr: 2.475e-02, eta: 7:20:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.7994, top5_acc: 0.9700, loss_cls: 0.9723, loss: 0.9723 +2025-07-02 12:47:12,112 - pyskl - INFO - Epoch [10][800/1178] lr: 2.474e-02, eta: 7:19:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 0.8651, loss: 0.8651 +2025-07-02 12:47:27,349 - pyskl - INFO - Epoch [10][900/1178] lr: 2.474e-02, eta: 7:19:17, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8056, top5_acc: 0.9712, loss_cls: 0.9802, loss: 0.9802 +2025-07-02 12:47:42,532 - pyskl - INFO - Epoch [10][1000/1178] lr: 2.474e-02, eta: 7:18:50, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.7975, top5_acc: 0.9731, loss_cls: 0.9415, loss: 0.9415 +2025-07-02 12:47:57,839 - pyskl - INFO - Epoch [10][1100/1178] lr: 2.473e-02, eta: 7:18:25, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8119, top5_acc: 0.9750, loss_cls: 0.9381, loss: 0.9381 +2025-07-02 12:48:10,309 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 12:48:32,919 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:48:32,929 - pyskl - INFO - +top1_acc 0.7933 +top5_acc 0.9767 +2025-07-02 12:48:32,933 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_6.pth was removed +2025-07-02 12:48:33,043 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 12:48:33,043 - pyskl - INFO - Best top1_acc is 0.7933 at 10 epoch. +2025-07-02 12:48:33,044 - pyskl - INFO - Epoch(val) [10][169] top1_acc: 0.7933, top5_acc: 0.9767 +2025-07-02 12:49:08,975 - pyskl - INFO - Epoch [11][100/1178] lr: 2.472e-02, eta: 7:19:42, time: 0.359, data_time: 0.207, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 0.8761, loss: 0.8761 +2025-07-02 12:49:24,122 - pyskl - INFO - Epoch [11][200/1178] lr: 2.472e-02, eta: 7:19:14, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8256, top5_acc: 0.9788, loss_cls: 0.8771, loss: 0.8771 +2025-07-02 12:49:39,260 - pyskl - INFO - Epoch [11][300/1178] lr: 2.471e-02, eta: 7:18:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9750, loss_cls: 0.8568, loss: 0.8568 +2025-07-02 12:49:54,421 - pyskl - INFO - Epoch [11][400/1178] lr: 2.471e-02, eta: 7:18:19, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8206, top5_acc: 0.9750, loss_cls: 0.9110, loss: 0.9110 +2025-07-02 12:50:09,608 - pyskl - INFO - Epoch [11][500/1178] lr: 2.470e-02, eta: 7:17:52, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9744, loss_cls: 0.8808, loss: 0.8808 +2025-07-02 12:50:24,659 - pyskl - INFO - Epoch [11][600/1178] lr: 2.470e-02, eta: 7:17:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9750, loss_cls: 0.8659, loss: 0.8659 +2025-07-02 12:50:39,613 - pyskl - INFO - Epoch [11][700/1178] lr: 2.469e-02, eta: 7:16:55, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8237, top5_acc: 0.9781, loss_cls: 0.8533, loss: 0.8533 +2025-07-02 12:50:54,640 - pyskl - INFO - Epoch [11][800/1178] lr: 2.469e-02, eta: 7:16:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 0.8384, loss: 0.8384 +2025-07-02 12:51:09,804 - pyskl - INFO - Epoch [11][900/1178] lr: 2.468e-02, eta: 7:16:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8169, top5_acc: 0.9681, loss_cls: 0.9202, loss: 0.9202 +2025-07-02 12:51:25,088 - pyskl - INFO - Epoch [11][1000/1178] lr: 2.468e-02, eta: 7:15:36, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8131, top5_acc: 0.9744, loss_cls: 0.9217, loss: 0.9217 +2025-07-02 12:51:40,347 - pyskl - INFO - Epoch [11][1100/1178] lr: 2.467e-02, eta: 7:15:11, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9762, loss_cls: 0.8660, loss: 0.8660 +2025-07-02 12:51:52,696 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 12:52:15,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:52:15,952 - pyskl - INFO - +top1_acc 0.8121 +top5_acc 0.9682 +2025-07-02 12:52:15,956 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_10.pth was removed +2025-07-02 12:52:16,068 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 12:52:16,068 - pyskl - INFO - Best top1_acc is 0.8121 at 11 epoch. +2025-07-02 12:52:16,069 - pyskl - INFO - Epoch(val) [11][169] top1_acc: 0.8121, top5_acc: 0.9682 +2025-07-02 12:52:51,944 - pyskl - INFO - Epoch [12][100/1178] lr: 2.466e-02, eta: 7:16:17, time: 0.359, data_time: 0.209, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 0.8535, loss: 0.8535 +2025-07-02 12:53:06,894 - pyskl - INFO - Epoch [12][200/1178] lr: 2.466e-02, eta: 7:15:48, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9775, loss_cls: 0.8539, loss: 0.8539 +2025-07-02 12:53:21,969 - pyskl - INFO - Epoch [12][300/1178] lr: 2.465e-02, eta: 7:15:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9812, loss_cls: 0.8332, loss: 0.8332 +2025-07-02 12:53:37,099 - pyskl - INFO - Epoch [12][400/1178] lr: 2.465e-02, eta: 7:14:54, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8200, top5_acc: 0.9719, loss_cls: 0.9245, loss: 0.9245 +2025-07-02 12:53:52,260 - pyskl - INFO - Epoch [12][500/1178] lr: 2.464e-02, eta: 7:14:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8300, top5_acc: 0.9762, loss_cls: 0.8269, loss: 0.8269 +2025-07-02 12:54:07,478 - pyskl - INFO - Epoch [12][600/1178] lr: 2.464e-02, eta: 7:14:03, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 0.8452, loss: 0.8452 +2025-07-02 12:54:22,587 - pyskl - INFO - Epoch [12][700/1178] lr: 2.463e-02, eta: 7:13:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8181, top5_acc: 0.9756, loss_cls: 0.8745, loss: 0.8745 +2025-07-02 12:54:37,588 - pyskl - INFO - Epoch [12][800/1178] lr: 2.463e-02, eta: 7:13:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9669, loss_cls: 0.8722, loss: 0.8722 +2025-07-02 12:54:52,598 - pyskl - INFO - Epoch [12][900/1178] lr: 2.462e-02, eta: 7:12:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8113, top5_acc: 0.9800, loss_cls: 0.9500, loss: 0.9500 +2025-07-02 12:55:07,936 - pyskl - INFO - Epoch [12][1000/1178] lr: 2.462e-02, eta: 7:12:20, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8063, top5_acc: 0.9731, loss_cls: 0.9149, loss: 0.9149 +2025-07-02 12:55:22,970 - pyskl - INFO - Epoch [12][1100/1178] lr: 2.461e-02, eta: 7:11:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9725, loss_cls: 0.8080, loss: 0.8080 +2025-07-02 12:55:35,234 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 12:55:58,030 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:55:58,040 - pyskl - INFO - +top1_acc 0.5366 +top5_acc 0.8343 +2025-07-02 12:55:58,040 - pyskl - INFO - Epoch(val) [12][169] top1_acc: 0.5366, top5_acc: 0.8343 +2025-07-02 12:56:33,683 - pyskl - INFO - Epoch [13][100/1178] lr: 2.460e-02, eta: 7:12:48, time: 0.356, data_time: 0.207, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9644, loss_cls: 0.9266, loss: 0.9266 +2025-07-02 12:56:48,696 - pyskl - INFO - Epoch [13][200/1178] lr: 2.460e-02, eta: 7:12:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9700, loss_cls: 0.8658, loss: 0.8658 +2025-07-02 12:57:03,791 - pyskl - INFO - Epoch [13][300/1178] lr: 2.459e-02, eta: 7:11:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9819, loss_cls: 0.8256, loss: 0.8256 +2025-07-02 12:57:18,988 - pyskl - INFO - Epoch [13][400/1178] lr: 2.458e-02, eta: 7:11:30, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8219, top5_acc: 0.9744, loss_cls: 0.8828, loss: 0.8828 +2025-07-02 12:57:34,046 - pyskl - INFO - Epoch [13][500/1178] lr: 2.458e-02, eta: 7:11:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8263, top5_acc: 0.9744, loss_cls: 0.8468, loss: 0.8468 +2025-07-02 12:57:49,003 - pyskl - INFO - Epoch [13][600/1178] lr: 2.457e-02, eta: 7:10:37, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8313, top5_acc: 0.9756, loss_cls: 0.8419, loss: 0.8419 +2025-07-02 12:58:04,056 - pyskl - INFO - Epoch [13][700/1178] lr: 2.457e-02, eta: 7:10:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8306, top5_acc: 0.9725, loss_cls: 0.8377, loss: 0.8377 +2025-07-02 12:58:19,019 - pyskl - INFO - Epoch [13][800/1178] lr: 2.456e-02, eta: 7:09:45, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 0.7843, loss: 0.7843 +2025-07-02 12:58:33,925 - pyskl - INFO - Epoch [13][900/1178] lr: 2.456e-02, eta: 7:09:18, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9750, loss_cls: 0.8143, loss: 0.8143 +2025-07-02 12:58:49,028 - pyskl - INFO - Epoch [13][1000/1178] lr: 2.455e-02, eta: 7:08:53, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9806, loss_cls: 0.8358, loss: 0.8358 +2025-07-02 12:59:04,349 - pyskl - INFO - Epoch [13][1100/1178] lr: 2.454e-02, eta: 7:08:31, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8144, top5_acc: 0.9738, loss_cls: 0.8855, loss: 0.8855 +2025-07-02 12:59:16,876 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 12:59:39,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:59:39,749 - pyskl - INFO - +top1_acc 0.8158 +top5_acc 0.9826 +2025-07-02 12:59:39,753 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_11.pth was removed +2025-07-02 12:59:39,863 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-02 12:59:39,864 - pyskl - INFO - Best top1_acc is 0.8158 at 13 epoch. +2025-07-02 12:59:39,865 - pyskl - INFO - Epoch(val) [13][169] top1_acc: 0.8158, top5_acc: 0.9826 +2025-07-02 13:00:15,615 - pyskl - INFO - Epoch [14][100/1178] lr: 2.453e-02, eta: 7:09:20, time: 0.357, data_time: 0.204, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9812, loss_cls: 0.7906, loss: 0.7906 +2025-07-02 13:00:30,709 - pyskl - INFO - Epoch [14][200/1178] lr: 2.453e-02, eta: 7:08:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 0.8382, loss: 0.8382 +2025-07-02 13:00:45,784 - pyskl - INFO - Epoch [14][300/1178] lr: 2.452e-02, eta: 7:08:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8256, top5_acc: 0.9819, loss_cls: 0.8431, loss: 0.8431 +2025-07-02 13:01:00,893 - pyskl - INFO - Epoch [14][400/1178] lr: 2.452e-02, eta: 7:08:05, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8281, top5_acc: 0.9750, loss_cls: 0.8395, loss: 0.8395 +2025-07-02 13:01:16,032 - pyskl - INFO - Epoch [14][500/1178] lr: 2.451e-02, eta: 7:07:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8213, top5_acc: 0.9731, loss_cls: 0.8631, loss: 0.8631 +2025-07-02 13:01:31,153 - pyskl - INFO - Epoch [14][600/1178] lr: 2.450e-02, eta: 7:07:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8175, top5_acc: 0.9750, loss_cls: 0.8735, loss: 0.8735 +2025-07-02 13:01:46,292 - pyskl - INFO - Epoch [14][700/1178] lr: 2.450e-02, eta: 7:06:52, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8394, top5_acc: 0.9731, loss_cls: 0.8152, loss: 0.8152 +2025-07-02 13:02:01,445 - pyskl - INFO - Epoch [14][800/1178] lr: 2.449e-02, eta: 7:06:28, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8350, top5_acc: 0.9806, loss_cls: 0.8016, loss: 0.8016 +2025-07-02 13:02:16,620 - pyskl - INFO - Epoch [14][900/1178] lr: 2.448e-02, eta: 7:06:05, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9756, loss_cls: 0.8176, loss: 0.8176 +2025-07-02 13:02:32,018 - pyskl - INFO - Epoch [14][1000/1178] lr: 2.448e-02, eta: 7:05:44, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9788, loss_cls: 0.7832, loss: 0.7832 +2025-07-02 13:02:47,351 - pyskl - INFO - Epoch [14][1100/1178] lr: 2.447e-02, eta: 7:05:22, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9788, loss_cls: 0.8034, loss: 0.8034 +2025-07-02 13:02:59,745 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 13:03:22,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:03:22,825 - pyskl - INFO - +top1_acc 0.8055 +top5_acc 0.9834 +2025-07-02 13:03:22,826 - pyskl - INFO - Epoch(val) [14][169] top1_acc: 0.8055, top5_acc: 0.9834 +2025-07-02 13:03:58,633 - pyskl - INFO - Epoch [15][100/1178] lr: 2.446e-02, eta: 7:06:06, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9762, loss_cls: 0.7871, loss: 0.7871 +2025-07-02 13:04:13,632 - pyskl - INFO - Epoch [15][200/1178] lr: 2.445e-02, eta: 7:05:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8350, top5_acc: 0.9781, loss_cls: 0.7924, loss: 0.7924 +2025-07-02 13:04:28,650 - pyskl - INFO - Epoch [15][300/1178] lr: 2.445e-02, eta: 7:05:16, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9744, loss_cls: 0.8090, loss: 0.8090 +2025-07-02 13:04:43,744 - pyskl - INFO - Epoch [15][400/1178] lr: 2.444e-02, eta: 7:04:51, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 0.8226, loss: 0.8226 +2025-07-02 13:04:58,833 - pyskl - INFO - Epoch [15][500/1178] lr: 2.443e-02, eta: 7:04:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9775, loss_cls: 0.8348, loss: 0.8348 +2025-07-02 13:05:13,943 - pyskl - INFO - Epoch [15][600/1178] lr: 2.443e-02, eta: 7:04:04, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9800, loss_cls: 0.7482, loss: 0.7482 +2025-07-02 13:05:29,066 - pyskl - INFO - Epoch [15][700/1178] lr: 2.442e-02, eta: 7:03:40, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8244, top5_acc: 0.9725, loss_cls: 0.8598, loss: 0.8598 +2025-07-02 13:05:44,159 - pyskl - INFO - Epoch [15][800/1178] lr: 2.441e-02, eta: 7:03:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8250, top5_acc: 0.9788, loss_cls: 0.8156, loss: 0.8156 +2025-07-02 13:05:59,321 - pyskl - INFO - Epoch [15][900/1178] lr: 2.441e-02, eta: 7:02:53, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8137, top5_acc: 0.9738, loss_cls: 0.8890, loss: 0.8890 +2025-07-02 13:06:14,425 - pyskl - INFO - Epoch [15][1000/1178] lr: 2.440e-02, eta: 7:02:30, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8375, top5_acc: 0.9812, loss_cls: 0.7942, loss: 0.7942 +2025-07-02 13:06:29,581 - pyskl - INFO - Epoch [15][1100/1178] lr: 2.439e-02, eta: 7:02:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9819, loss_cls: 0.7560, loss: 0.7560 +2025-07-02 13:06:41,972 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 13:07:04,565 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:07:04,575 - pyskl - INFO - +top1_acc 0.6557 +top5_acc 0.9456 +2025-07-02 13:07:04,576 - pyskl - INFO - Epoch(val) [15][169] top1_acc: 0.6557, top5_acc: 0.9456 +2025-07-02 13:07:40,388 - pyskl - INFO - Epoch [16][100/1178] lr: 2.438e-02, eta: 7:02:46, time: 0.358, data_time: 0.209, memory: 3565, top1_acc: 0.8269, top5_acc: 0.9788, loss_cls: 0.8238, loss: 0.8238 +2025-07-02 13:07:55,241 - pyskl - INFO - Epoch [16][200/1178] lr: 2.437e-02, eta: 7:02:20, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8344, top5_acc: 0.9838, loss_cls: 0.7977, loss: 0.7977 +2025-07-02 13:08:10,134 - pyskl - INFO - Epoch [16][300/1178] lr: 2.437e-02, eta: 7:01:54, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8556, top5_acc: 0.9775, loss_cls: 0.7818, loss: 0.7818 +2025-07-02 13:08:25,116 - pyskl - INFO - Epoch [16][400/1178] lr: 2.436e-02, eta: 7:01:30, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9712, loss_cls: 0.8264, loss: 0.8264 +2025-07-02 13:08:40,135 - pyskl - INFO - Epoch [16][500/1178] lr: 2.435e-02, eta: 7:01:06, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 0.8038, loss: 0.8038 +2025-07-02 13:08:55,286 - pyskl - INFO - Epoch [16][600/1178] lr: 2.435e-02, eta: 7:00:43, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8337, top5_acc: 0.9794, loss_cls: 0.7694, loss: 0.7694 +2025-07-02 13:09:10,363 - pyskl - INFO - Epoch [16][700/1178] lr: 2.434e-02, eta: 7:00:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 0.8117, loss: 0.8117 +2025-07-02 13:09:25,429 - pyskl - INFO - Epoch [16][800/1178] lr: 2.433e-02, eta: 6:59:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9775, loss_cls: 0.7124, loss: 0.7124 +2025-07-02 13:09:40,466 - pyskl - INFO - Epoch [16][900/1178] lr: 2.432e-02, eta: 6:59:33, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 0.7988, loss: 0.7988 +2025-07-02 13:09:55,448 - pyskl - INFO - Epoch [16][1000/1178] lr: 2.432e-02, eta: 6:59:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 0.7780, loss: 0.7780 +2025-07-02 13:10:10,463 - pyskl - INFO - Epoch [16][1100/1178] lr: 2.431e-02, eta: 6:58:46, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9812, loss_cls: 0.7744, loss: 0.7744 +2025-07-02 13:10:22,812 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 13:10:45,474 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:10:45,484 - pyskl - INFO - +top1_acc 0.5773 +top5_acc 0.8683 +2025-07-02 13:10:45,484 - pyskl - INFO - Epoch(val) [16][169] top1_acc: 0.5773, top5_acc: 0.8683 +2025-07-02 13:11:21,188 - pyskl - INFO - Epoch [17][100/1178] lr: 2.430e-02, eta: 6:59:19, time: 0.357, data_time: 0.208, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 0.7455, loss: 0.7455 +2025-07-02 13:11:36,301 - pyskl - INFO - Epoch [17][200/1178] lr: 2.429e-02, eta: 6:58:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 0.8012, loss: 0.8012 +2025-07-02 13:11:51,514 - pyskl - INFO - Epoch [17][300/1178] lr: 2.428e-02, eta: 6:58:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9775, loss_cls: 0.7503, loss: 0.7503 +2025-07-02 13:12:06,645 - pyskl - INFO - Epoch [17][400/1178] lr: 2.428e-02, eta: 6:58:11, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9869, loss_cls: 0.7481, loss: 0.7481 +2025-07-02 13:12:21,765 - pyskl - INFO - Epoch [17][500/1178] lr: 2.427e-02, eta: 6:57:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9769, loss_cls: 0.7866, loss: 0.7866 +2025-07-02 13:12:36,798 - pyskl - INFO - Epoch [17][600/1178] lr: 2.426e-02, eta: 6:57:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 0.7781, loss: 0.7781 +2025-07-02 13:12:51,931 - pyskl - INFO - Epoch [17][700/1178] lr: 2.425e-02, eta: 6:57:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9800, loss_cls: 0.7308, loss: 0.7308 +2025-07-02 13:13:07,043 - pyskl - INFO - Epoch [17][800/1178] lr: 2.425e-02, eta: 6:56:41, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9800, loss_cls: 0.7591, loss: 0.7591 +2025-07-02 13:13:22,436 - pyskl - INFO - Epoch [17][900/1178] lr: 2.424e-02, eta: 6:56:21, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 0.7829, loss: 0.7829 +2025-07-02 13:13:37,676 - pyskl - INFO - Epoch [17][1000/1178] lr: 2.423e-02, eta: 6:56:00, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 0.7793, loss: 0.7793 +2025-07-02 13:13:52,854 - pyskl - INFO - Epoch [17][1100/1178] lr: 2.422e-02, eta: 6:55:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8381, top5_acc: 0.9800, loss_cls: 0.7839, loss: 0.7839 +2025-07-02 13:14:05,454 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 13:14:28,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:14:28,264 - pyskl - INFO - +top1_acc 0.7526 +top5_acc 0.9523 +2025-07-02 13:14:28,264 - pyskl - INFO - Epoch(val) [17][169] top1_acc: 0.7526, top5_acc: 0.9523 +2025-07-02 13:15:03,750 - pyskl - INFO - Epoch [18][100/1178] lr: 2.421e-02, eta: 6:56:05, time: 0.355, data_time: 0.205, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.7407, loss: 0.7407 +2025-07-02 13:15:18,725 - pyskl - INFO - Epoch [18][200/1178] lr: 2.420e-02, eta: 6:55:42, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8244, top5_acc: 0.9794, loss_cls: 0.7988, loss: 0.7988 +2025-07-02 13:15:33,761 - pyskl - INFO - Epoch [18][300/1178] lr: 2.419e-02, eta: 6:55:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9781, loss_cls: 0.7748, loss: 0.7748 +2025-07-02 13:15:48,924 - pyskl - INFO - Epoch [18][400/1178] lr: 2.418e-02, eta: 6:54:57, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9875, loss_cls: 0.6899, loss: 0.6899 +2025-07-02 13:16:04,054 - pyskl - INFO - Epoch [18][500/1178] lr: 2.418e-02, eta: 6:54:35, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8225, top5_acc: 0.9769, loss_cls: 0.8350, loss: 0.8350 +2025-07-02 13:16:19,203 - pyskl - INFO - Epoch [18][600/1178] lr: 2.417e-02, eta: 6:54:13, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9775, loss_cls: 0.7324, loss: 0.7324 +2025-07-02 13:16:34,172 - pyskl - INFO - Epoch [18][700/1178] lr: 2.416e-02, eta: 6:53:50, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 0.7548, loss: 0.7548 +2025-07-02 13:16:49,101 - pyskl - INFO - Epoch [18][800/1178] lr: 2.415e-02, eta: 6:53:27, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9756, loss_cls: 0.8059, loss: 0.8059 +2025-07-02 13:17:04,054 - pyskl - INFO - Epoch [18][900/1178] lr: 2.414e-02, eta: 6:53:04, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8350, top5_acc: 0.9800, loss_cls: 0.7841, loss: 0.7841 +2025-07-02 13:17:19,086 - pyskl - INFO - Epoch [18][1000/1178] lr: 2.414e-02, eta: 6:52:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 0.7692, loss: 0.7692 +2025-07-02 13:17:34,235 - pyskl - INFO - Epoch [18][1100/1178] lr: 2.413e-02, eta: 6:52:20, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9825, loss_cls: 0.7684, loss: 0.7684 +2025-07-02 13:17:46,547 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 13:18:09,595 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:18:09,604 - pyskl - INFO - +top1_acc 0.6705 +top5_acc 0.9419 +2025-07-02 13:18:09,605 - pyskl - INFO - Epoch(val) [18][169] top1_acc: 0.6705, top5_acc: 0.9419 +2025-07-02 13:18:45,221 - pyskl - INFO - Epoch [19][100/1178] lr: 2.411e-02, eta: 6:52:45, time: 0.356, data_time: 0.207, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9769, loss_cls: 0.7418, loss: 0.7418 +2025-07-02 13:19:00,261 - pyskl - INFO - Epoch [19][200/1178] lr: 2.411e-02, eta: 6:52:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8369, top5_acc: 0.9762, loss_cls: 0.7596, loss: 0.7596 +2025-07-02 13:19:15,373 - pyskl - INFO - Epoch [19][300/1178] lr: 2.410e-02, eta: 6:52:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 0.7777, loss: 0.7777 +2025-07-02 13:19:30,482 - pyskl - INFO - Epoch [19][400/1178] lr: 2.409e-02, eta: 6:51:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9819, loss_cls: 0.7596, loss: 0.7596 +2025-07-02 13:19:45,602 - pyskl - INFO - Epoch [19][500/1178] lr: 2.408e-02, eta: 6:51:17, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9744, loss_cls: 0.7558, loss: 0.7558 +2025-07-02 13:20:00,670 - pyskl - INFO - Epoch [19][600/1178] lr: 2.407e-02, eta: 6:50:55, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8469, top5_acc: 0.9838, loss_cls: 0.7497, loss: 0.7497 +2025-07-02 13:20:15,842 - pyskl - INFO - Epoch [19][700/1178] lr: 2.406e-02, eta: 6:50:34, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8450, top5_acc: 0.9844, loss_cls: 0.7433, loss: 0.7433 +2025-07-02 13:20:30,930 - pyskl - INFO - Epoch [19][800/1178] lr: 2.406e-02, eta: 6:50:12, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 0.7502, loss: 0.7502 +2025-07-02 13:20:45,999 - pyskl - INFO - Epoch [19][900/1178] lr: 2.405e-02, eta: 6:49:50, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9800, loss_cls: 0.7572, loss: 0.7572 +2025-07-02 13:21:01,052 - pyskl - INFO - Epoch [19][1000/1178] lr: 2.404e-02, eta: 6:49:28, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 0.6918, loss: 0.6918 +2025-07-02 13:21:16,210 - pyskl - INFO - Epoch [19][1100/1178] lr: 2.403e-02, eta: 6:49:07, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8275, top5_acc: 0.9819, loss_cls: 0.7907, loss: 0.7907 +2025-07-02 13:21:28,454 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 13:21:51,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:21:51,352 - pyskl - INFO - +top1_acc 0.6727 +top5_acc 0.9301 +2025-07-02 13:21:51,353 - pyskl - INFO - Epoch(val) [19][169] top1_acc: 0.6727, top5_acc: 0.9301 +2025-07-02 13:22:27,341 - pyskl - INFO - Epoch [20][100/1178] lr: 2.401e-02, eta: 6:49:32, time: 0.360, data_time: 0.209, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 0.7010, loss: 0.7010 +2025-07-02 13:22:42,414 - pyskl - INFO - Epoch [20][200/1178] lr: 2.401e-02, eta: 6:49:10, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8419, top5_acc: 0.9781, loss_cls: 0.7922, loss: 0.7922 +2025-07-02 13:22:57,527 - pyskl - INFO - Epoch [20][300/1178] lr: 2.400e-02, eta: 6:48:48, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8413, top5_acc: 0.9812, loss_cls: 0.7556, loss: 0.7556 +2025-07-02 13:23:12,666 - pyskl - INFO - Epoch [20][400/1178] lr: 2.399e-02, eta: 6:48:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9738, loss_cls: 0.7537, loss: 0.7537 +2025-07-02 13:23:27,869 - pyskl - INFO - Epoch [20][500/1178] lr: 2.398e-02, eta: 6:48:06, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.7132, loss: 0.7132 +2025-07-02 13:23:42,841 - pyskl - INFO - Epoch [20][600/1178] lr: 2.397e-02, eta: 6:47:44, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9806, loss_cls: 0.7286, loss: 0.7286 +2025-07-02 13:23:57,887 - pyskl - INFO - Epoch [20][700/1178] lr: 2.396e-02, eta: 6:47:22, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9775, loss_cls: 0.7868, loss: 0.7868 +2025-07-02 13:24:13,199 - pyskl - INFO - Epoch [20][800/1178] lr: 2.395e-02, eta: 6:47:03, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 0.7192, loss: 0.7192 +2025-07-02 13:24:28,401 - pyskl - INFO - Epoch [20][900/1178] lr: 2.394e-02, eta: 6:46:42, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9775, loss_cls: 0.7252, loss: 0.7252 +2025-07-02 13:24:43,540 - pyskl - INFO - Epoch [20][1000/1178] lr: 2.394e-02, eta: 6:46:21, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9762, loss_cls: 0.7730, loss: 0.7730 +2025-07-02 13:24:58,659 - pyskl - INFO - Epoch [20][1100/1178] lr: 2.393e-02, eta: 6:46:00, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9875, loss_cls: 0.6853, loss: 0.6853 +2025-07-02 13:25:11,236 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 13:25:34,067 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:25:34,077 - pyskl - INFO - +top1_acc 0.8192 +top5_acc 0.9800 +2025-07-02 13:25:34,080 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_13.pth was removed +2025-07-02 13:25:34,187 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-02 13:25:34,188 - pyskl - INFO - Best top1_acc is 0.8192 at 20 epoch. +2025-07-02 13:25:34,189 - pyskl - INFO - Epoch(val) [20][169] top1_acc: 0.8192, top5_acc: 0.9800 +2025-07-02 13:26:09,885 - pyskl - INFO - Epoch [21][100/1178] lr: 2.391e-02, eta: 6:46:20, time: 0.357, data_time: 0.206, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9862, loss_cls: 0.7429, loss: 0.7429 +2025-07-02 13:26:24,926 - pyskl - INFO - Epoch [21][200/1178] lr: 2.390e-02, eta: 6:45:58, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 0.7144, loss: 0.7144 +2025-07-02 13:26:40,005 - pyskl - INFO - Epoch [21][300/1178] lr: 2.389e-02, eta: 6:45:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9888, loss_cls: 0.6712, loss: 0.6712 +2025-07-02 13:26:54,971 - pyskl - INFO - Epoch [21][400/1178] lr: 2.388e-02, eta: 6:45:15, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 0.7447, loss: 0.7447 +2025-07-02 13:27:09,950 - pyskl - INFO - Epoch [21][500/1178] lr: 2.387e-02, eta: 6:44:53, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9756, loss_cls: 0.7788, loss: 0.7788 +2025-07-02 13:27:24,938 - pyskl - INFO - Epoch [21][600/1178] lr: 2.386e-02, eta: 6:44:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9781, loss_cls: 0.7404, loss: 0.7404 +2025-07-02 13:27:39,974 - pyskl - INFO - Epoch [21][700/1178] lr: 2.386e-02, eta: 6:44:09, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 0.6997, loss: 0.6997 +2025-07-02 13:27:55,258 - pyskl - INFO - Epoch [21][800/1178] lr: 2.385e-02, eta: 6:43:50, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 0.7189, loss: 0.7189 +2025-07-02 13:28:10,475 - pyskl - INFO - Epoch [21][900/1178] lr: 2.384e-02, eta: 6:43:29, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9781, loss_cls: 0.7715, loss: 0.7715 +2025-07-02 13:28:25,878 - pyskl - INFO - Epoch [21][1000/1178] lr: 2.383e-02, eta: 6:43:10, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 0.6791, loss: 0.6791 +2025-07-02 13:28:41,290 - pyskl - INFO - Epoch [21][1100/1178] lr: 2.382e-02, eta: 6:42:52, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8456, top5_acc: 0.9775, loss_cls: 0.7323, loss: 0.7323 +2025-07-02 13:28:53,548 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 13:29:16,604 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:29:16,614 - pyskl - INFO - +top1_acc 0.8506 +top5_acc 0.9852 +2025-07-02 13:29:16,617 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_20.pth was removed +2025-07-02 13:29:16,723 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-07-02 13:29:16,723 - pyskl - INFO - Best top1_acc is 0.8506 at 21 epoch. +2025-07-02 13:29:16,724 - pyskl - INFO - Epoch(val) [21][169] top1_acc: 0.8506, top5_acc: 0.9852 +2025-07-02 13:29:52,487 - pyskl - INFO - Epoch [22][100/1178] lr: 2.380e-02, eta: 6:43:09, time: 0.358, data_time: 0.208, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9781, loss_cls: 0.7360, loss: 0.7360 +2025-07-02 13:30:07,372 - pyskl - INFO - Epoch [22][200/1178] lr: 2.379e-02, eta: 6:42:47, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 0.6796, loss: 0.6796 +2025-07-02 13:30:22,278 - pyskl - INFO - Epoch [22][300/1178] lr: 2.378e-02, eta: 6:42:24, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9800, loss_cls: 0.6393, loss: 0.6393 +2025-07-02 13:30:37,327 - pyskl - INFO - Epoch [22][400/1178] lr: 2.377e-02, eta: 6:42:03, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9831, loss_cls: 0.7270, loss: 0.7270 +2025-07-02 13:30:52,381 - pyskl - INFO - Epoch [22][500/1178] lr: 2.376e-02, eta: 6:41:42, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.6894, loss: 0.6894 +2025-07-02 13:31:07,389 - pyskl - INFO - Epoch [22][600/1178] lr: 2.375e-02, eta: 6:41:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8488, top5_acc: 0.9794, loss_cls: 0.7458, loss: 0.7458 +2025-07-02 13:31:22,431 - pyskl - INFO - Epoch [22][700/1178] lr: 2.374e-02, eta: 6:41:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8363, top5_acc: 0.9744, loss_cls: 0.8058, loss: 0.8058 +2025-07-02 13:31:37,568 - pyskl - INFO - Epoch [22][800/1178] lr: 2.373e-02, eta: 6:40:39, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8650, top5_acc: 0.9881, loss_cls: 0.6620, loss: 0.6620 +2025-07-02 13:31:52,691 - pyskl - INFO - Epoch [22][900/1178] lr: 2.372e-02, eta: 6:40:19, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 0.7500, loss: 0.7500 +2025-07-02 13:32:07,764 - pyskl - INFO - Epoch [22][1000/1178] lr: 2.371e-02, eta: 6:39:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 0.7301, loss: 0.7301 +2025-07-02 13:32:22,830 - pyskl - INFO - Epoch [22][1100/1178] lr: 2.370e-02, eta: 6:39:37, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 0.7413, loss: 0.7413 +2025-07-02 13:32:35,263 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 13:32:58,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:32:58,213 - pyskl - INFO - +top1_acc 0.8147 +top5_acc 0.9845 +2025-07-02 13:32:58,213 - pyskl - INFO - Epoch(val) [22][169] top1_acc: 0.8147, top5_acc: 0.9845 +2025-07-02 13:33:34,046 - pyskl - INFO - Epoch [23][100/1178] lr: 2.369e-02, eta: 6:39:53, time: 0.358, data_time: 0.209, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9862, loss_cls: 0.6931, loss: 0.6931 +2025-07-02 13:33:48,998 - pyskl - INFO - Epoch [23][200/1178] lr: 2.368e-02, eta: 6:39:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 0.6154, loss: 0.6154 +2025-07-02 13:34:04,153 - pyskl - INFO - Epoch [23][300/1178] lr: 2.367e-02, eta: 6:39:11, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6530, loss: 0.6530 +2025-07-02 13:34:19,370 - pyskl - INFO - Epoch [23][400/1178] lr: 2.366e-02, eta: 6:38:51, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8444, top5_acc: 0.9788, loss_cls: 0.7616, loss: 0.7616 +2025-07-02 13:34:34,502 - pyskl - INFO - Epoch [23][500/1178] lr: 2.365e-02, eta: 6:38:31, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8475, top5_acc: 0.9756, loss_cls: 0.7606, loss: 0.7606 +2025-07-02 13:34:49,548 - pyskl - INFO - Epoch [23][600/1178] lr: 2.364e-02, eta: 6:38:10, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9812, loss_cls: 0.7282, loss: 0.7282 +2025-07-02 13:35:04,608 - pyskl - INFO - Epoch [23][700/1178] lr: 2.363e-02, eta: 6:37:49, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 0.7159, loss: 0.7159 +2025-07-02 13:35:19,591 - pyskl - INFO - Epoch [23][800/1178] lr: 2.362e-02, eta: 6:37:28, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9881, loss_cls: 0.6868, loss: 0.6868 +2025-07-02 13:35:34,662 - pyskl - INFO - Epoch [23][900/1178] lr: 2.361e-02, eta: 6:37:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 0.7394, loss: 0.7394 +2025-07-02 13:35:50,059 - pyskl - INFO - Epoch [23][1000/1178] lr: 2.360e-02, eta: 6:36:49, time: 0.154, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 0.7559, loss: 0.7559 +2025-07-02 13:36:05,359 - pyskl - INFO - Epoch [23][1100/1178] lr: 2.359e-02, eta: 6:36:30, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 0.7103, loss: 0.7103 +2025-07-02 13:36:17,832 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 13:36:40,702 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:36:40,713 - pyskl - INFO - +top1_acc 0.8384 +top5_acc 0.9811 +2025-07-02 13:36:40,713 - pyskl - INFO - Epoch(val) [23][169] top1_acc: 0.8384, top5_acc: 0.9811 +2025-07-02 13:37:16,363 - pyskl - INFO - Epoch [24][100/1178] lr: 2.357e-02, eta: 6:36:42, time: 0.356, data_time: 0.207, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6224, loss: 0.6224 +2025-07-02 13:37:31,332 - pyskl - INFO - Epoch [24][200/1178] lr: 2.356e-02, eta: 6:36:21, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6859, loss: 0.6859 +2025-07-02 13:37:46,316 - pyskl - INFO - Epoch [24][300/1178] lr: 2.355e-02, eta: 6:36:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 0.7291, loss: 0.7291 +2025-07-02 13:38:01,232 - pyskl - INFO - Epoch [24][400/1178] lr: 2.354e-02, eta: 6:35:38, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 0.6549, loss: 0.6549 +2025-07-02 13:38:16,404 - pyskl - INFO - Epoch [24][500/1178] lr: 2.353e-02, eta: 6:35:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8712, top5_acc: 0.9812, loss_cls: 0.6663, loss: 0.6663 +2025-07-02 13:38:31,490 - pyskl - INFO - Epoch [24][600/1178] lr: 2.352e-02, eta: 6:34:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8425, top5_acc: 0.9794, loss_cls: 0.7526, loss: 0.7526 +2025-07-02 13:38:46,666 - pyskl - INFO - Epoch [24][700/1178] lr: 2.350e-02, eta: 6:34:38, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 0.6896, loss: 0.6896 +2025-07-02 13:39:01,841 - pyskl - INFO - Epoch [24][800/1178] lr: 2.349e-02, eta: 6:34:18, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9794, loss_cls: 0.6976, loss: 0.6976 +2025-07-02 13:39:16,912 - pyskl - INFO - Epoch [24][900/1178] lr: 2.348e-02, eta: 6:33:58, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9788, loss_cls: 0.7686, loss: 0.7686 +2025-07-02 13:39:32,046 - pyskl - INFO - Epoch [24][1000/1178] lr: 2.347e-02, eta: 6:33:38, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 0.7158, loss: 0.7158 +2025-07-02 13:39:47,191 - pyskl - INFO - Epoch [24][1100/1178] lr: 2.346e-02, eta: 6:33:18, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9850, loss_cls: 0.6554, loss: 0.6554 +2025-07-02 13:39:59,805 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 13:40:22,459 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:40:22,470 - pyskl - INFO - +top1_acc 0.7197 +top5_acc 0.9490 +2025-07-02 13:40:22,470 - pyskl - INFO - Epoch(val) [24][169] top1_acc: 0.7197, top5_acc: 0.9490 +2025-07-02 13:40:58,065 - pyskl - INFO - Epoch [25][100/1178] lr: 2.344e-02, eta: 6:33:28, time: 0.356, data_time: 0.206, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9825, loss_cls: 0.6437, loss: 0.6437 +2025-07-02 13:41:13,046 - pyskl - INFO - Epoch [25][200/1178] lr: 2.343e-02, eta: 6:33:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 0.6857, loss: 0.6857 +2025-07-02 13:41:28,127 - pyskl - INFO - Epoch [25][300/1178] lr: 2.342e-02, eta: 6:32:47, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8462, top5_acc: 0.9731, loss_cls: 0.7518, loss: 0.7518 +2025-07-02 13:41:43,099 - pyskl - INFO - Epoch [25][400/1178] lr: 2.341e-02, eta: 6:32:26, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9800, loss_cls: 0.7175, loss: 0.7175 +2025-07-02 13:41:58,175 - pyskl - INFO - Epoch [25][500/1178] lr: 2.340e-02, eta: 6:32:06, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 0.6854, loss: 0.6854 +2025-07-02 13:42:13,355 - pyskl - INFO - Epoch [25][600/1178] lr: 2.339e-02, eta: 6:31:47, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 0.7066, loss: 0.7066 +2025-07-02 13:42:28,565 - pyskl - INFO - Epoch [25][700/1178] lr: 2.338e-02, eta: 6:31:27, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9794, loss_cls: 0.6554, loss: 0.6554 +2025-07-02 13:42:43,578 - pyskl - INFO - Epoch [25][800/1178] lr: 2.337e-02, eta: 6:31:07, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 0.6668, loss: 0.6668 +2025-07-02 13:42:58,611 - pyskl - INFO - Epoch [25][900/1178] lr: 2.336e-02, eta: 6:30:47, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9881, loss_cls: 0.6355, loss: 0.6355 +2025-07-02 13:43:13,731 - pyskl - INFO - Epoch [25][1000/1178] lr: 2.335e-02, eta: 6:30:27, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 0.6872, loss: 0.6872 +2025-07-02 13:43:28,879 - pyskl - INFO - Epoch [25][1100/1178] lr: 2.333e-02, eta: 6:30:07, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8506, top5_acc: 0.9844, loss_cls: 0.7121, loss: 0.7121 +2025-07-02 13:43:41,262 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 13:44:04,472 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:44:04,482 - pyskl - INFO - +top1_acc 0.5891 +top5_acc 0.8850 +2025-07-02 13:44:04,483 - pyskl - INFO - Epoch(val) [25][169] top1_acc: 0.5891, top5_acc: 0.8850 +2025-07-02 13:44:40,251 - pyskl - INFO - Epoch [26][100/1178] lr: 2.331e-02, eta: 6:30:16, time: 0.358, data_time: 0.207, memory: 3565, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 0.6870, loss: 0.6870 +2025-07-02 13:44:55,346 - pyskl - INFO - Epoch [26][200/1178] lr: 2.330e-02, eta: 6:29:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 0.6430, loss: 0.6430 +2025-07-02 13:45:10,411 - pyskl - INFO - Epoch [26][300/1178] lr: 2.329e-02, eta: 6:29:36, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8606, top5_acc: 0.9825, loss_cls: 0.6796, loss: 0.6796 +2025-07-02 13:45:25,482 - pyskl - INFO - Epoch [26][400/1178] lr: 2.328e-02, eta: 6:29:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 0.6905, loss: 0.6905 +2025-07-02 13:45:40,586 - pyskl - INFO - Epoch [26][500/1178] lr: 2.327e-02, eta: 6:28:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8744, top5_acc: 0.9881, loss_cls: 0.6336, loss: 0.6336 +2025-07-02 13:45:55,611 - pyskl - INFO - Epoch [26][600/1178] lr: 2.326e-02, eta: 6:28:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 0.6853, loss: 0.6853 +2025-07-02 13:46:10,557 - pyskl - INFO - Epoch [26][700/1178] lr: 2.325e-02, eta: 6:28:16, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9788, loss_cls: 0.7165, loss: 0.7165 +2025-07-02 13:46:25,617 - pyskl - INFO - Epoch [26][800/1178] lr: 2.324e-02, eta: 6:27:56, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9819, loss_cls: 0.6622, loss: 0.6622 +2025-07-02 13:46:40,653 - pyskl - INFO - Epoch [26][900/1178] lr: 2.322e-02, eta: 6:27:36, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6412, loss: 0.6412 +2025-07-02 13:46:55,795 - pyskl - INFO - Epoch [26][1000/1178] lr: 2.321e-02, eta: 6:27:16, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8431, top5_acc: 0.9838, loss_cls: 0.7226, loss: 0.7226 +2025-07-02 13:47:10,919 - pyskl - INFO - Epoch [26][1100/1178] lr: 2.320e-02, eta: 6:26:57, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 0.6506, loss: 0.6506 +2025-07-02 13:47:23,290 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 13:47:45,820 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:47:45,830 - pyskl - INFO - +top1_acc 0.8003 +top5_acc 0.9689 +2025-07-02 13:47:45,831 - pyskl - INFO - Epoch(val) [26][169] top1_acc: 0.8003, top5_acc: 0.9689 +2025-07-02 13:48:21,471 - pyskl - INFO - Epoch [27][100/1178] lr: 2.318e-02, eta: 6:27:03, time: 0.356, data_time: 0.207, memory: 3565, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 0.6569, loss: 0.6569 +2025-07-02 13:48:36,430 - pyskl - INFO - Epoch [27][200/1178] lr: 2.317e-02, eta: 6:26:43, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.6623, loss: 0.6623 +2025-07-02 13:48:51,484 - pyskl - INFO - Epoch [27][300/1178] lr: 2.316e-02, eta: 6:26:23, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.6616, loss: 0.6616 +2025-07-02 13:49:06,554 - pyskl - INFO - Epoch [27][400/1178] lr: 2.315e-02, eta: 6:26:03, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9850, loss_cls: 0.6740, loss: 0.6740 +2025-07-02 13:49:21,690 - pyskl - INFO - Epoch [27][500/1178] lr: 2.313e-02, eta: 6:25:44, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 0.6778, loss: 0.6778 +2025-07-02 13:49:36,771 - pyskl - INFO - Epoch [27][600/1178] lr: 2.312e-02, eta: 6:25:24, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8575, top5_acc: 0.9800, loss_cls: 0.6902, loss: 0.6902 +2025-07-02 13:49:51,925 - pyskl - INFO - Epoch [27][700/1178] lr: 2.311e-02, eta: 6:25:04, time: 0.152, data_time: 0.000, memory: 3565, top1_acc: 0.8700, top5_acc: 0.9825, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 13:50:07,010 - pyskl - INFO - Epoch [27][800/1178] lr: 2.310e-02, eta: 6:24:45, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 0.6855, loss: 0.6855 +2025-07-02 13:50:22,066 - pyskl - INFO - Epoch [27][900/1178] lr: 2.309e-02, eta: 6:24:25, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8775, top5_acc: 0.9862, loss_cls: 0.6217, loss: 0.6217 +2025-07-02 13:50:37,079 - pyskl - INFO - Epoch [27][1000/1178] lr: 2.308e-02, eta: 6:24:05, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 0.6459, loss: 0.6459 +2025-07-02 13:50:52,229 - pyskl - INFO - Epoch [27][1100/1178] lr: 2.306e-02, eta: 6:23:46, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9800, loss_cls: 0.6715, loss: 0.6715 +2025-07-02 13:51:04,599 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 13:51:27,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:51:27,501 - pyskl - INFO - +top1_acc 0.7256 +top5_acc 0.9597 +2025-07-02 13:51:27,502 - pyskl - INFO - Epoch(val) [27][169] top1_acc: 0.7256, top5_acc: 0.9597 +2025-07-02 13:52:03,245 - pyskl - INFO - Epoch [28][100/1178] lr: 2.304e-02, eta: 6:23:52, time: 0.357, data_time: 0.208, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9794, loss_cls: 0.6878, loss: 0.6878 +2025-07-02 13:52:18,203 - pyskl - INFO - Epoch [28][200/1178] lr: 2.303e-02, eta: 6:23:31, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8688, top5_acc: 0.9769, loss_cls: 0.6654, loss: 0.6654 +2025-07-02 13:52:33,199 - pyskl - INFO - Epoch [28][300/1178] lr: 2.302e-02, eta: 6:23:11, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8644, top5_acc: 0.9856, loss_cls: 0.6725, loss: 0.6725 +2025-07-02 13:52:48,242 - pyskl - INFO - Epoch [28][400/1178] lr: 2.301e-02, eta: 6:22:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8725, top5_acc: 0.9819, loss_cls: 0.6584, loss: 0.6584 +2025-07-02 13:53:03,189 - pyskl - INFO - Epoch [28][500/1178] lr: 2.299e-02, eta: 6:22:31, time: 0.149, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6169, loss: 0.6169 +2025-07-02 13:53:18,178 - pyskl - INFO - Epoch [28][600/1178] lr: 2.298e-02, eta: 6:22:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9819, loss_cls: 0.6283, loss: 0.6283 +2025-07-02 13:53:33,141 - pyskl - INFO - Epoch [28][700/1178] lr: 2.297e-02, eta: 6:21:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8762, top5_acc: 0.9888, loss_cls: 0.6312, loss: 0.6312 +2025-07-02 13:53:48,150 - pyskl - INFO - Epoch [28][800/1178] lr: 2.296e-02, eta: 6:21:32, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6361, loss: 0.6361 +2025-07-02 13:54:03,105 - pyskl - INFO - Epoch [28][900/1178] lr: 2.295e-02, eta: 6:21:12, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8625, top5_acc: 0.9788, loss_cls: 0.6977, loss: 0.6977 +2025-07-02 13:54:18,126 - pyskl - INFO - Epoch [28][1000/1178] lr: 2.293e-02, eta: 6:20:52, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8638, top5_acc: 0.9762, loss_cls: 0.7570, loss: 0.7570 +2025-07-02 13:54:33,387 - pyskl - INFO - Epoch [28][1100/1178] lr: 2.292e-02, eta: 6:20:33, time: 0.153, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9800, loss_cls: 0.7207, loss: 0.7207 +2025-07-02 13:54:45,842 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 13:55:08,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:55:08,671 - pyskl - INFO - +top1_acc 0.8347 +top5_acc 0.9834 +2025-07-02 13:55:08,672 - pyskl - INFO - Epoch(val) [28][169] top1_acc: 0.8347, top5_acc: 0.9834 +2025-07-02 13:55:44,581 - pyskl - INFO - Epoch [29][100/1178] lr: 2.290e-02, eta: 6:20:38, time: 0.359, data_time: 0.210, memory: 3565, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6392, loss: 0.6392 +2025-07-02 13:55:59,532 - pyskl - INFO - Epoch [29][200/1178] lr: 2.289e-02, eta: 6:20:18, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.6118, loss: 0.6118 +2025-07-02 13:56:14,523 - pyskl - INFO - Epoch [29][300/1178] lr: 2.287e-02, eta: 6:19:59, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 13:56:29,513 - pyskl - INFO - Epoch [29][400/1178] lr: 2.286e-02, eta: 6:19:39, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8569, top5_acc: 0.9912, loss_cls: 0.6712, loss: 0.6712 +2025-07-02 13:56:44,553 - pyskl - INFO - Epoch [29][500/1178] lr: 2.285e-02, eta: 6:19:19, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8581, top5_acc: 0.9762, loss_cls: 0.7161, loss: 0.7161 +2025-07-02 13:56:59,566 - pyskl - INFO - Epoch [29][600/1178] lr: 2.284e-02, eta: 6:19:00, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 13:57:14,557 - pyskl - INFO - Epoch [29][700/1178] lr: 2.282e-02, eta: 6:18:40, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6226, loss: 0.6226 +2025-07-02 13:57:29,587 - pyskl - INFO - Epoch [29][800/1178] lr: 2.281e-02, eta: 6:18:20, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7002, loss: 0.7002 +2025-07-02 13:57:44,575 - pyskl - INFO - Epoch [29][900/1178] lr: 2.280e-02, eta: 6:18:01, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8619, top5_acc: 0.9812, loss_cls: 0.6623, loss: 0.6623 +2025-07-02 13:57:59,621 - pyskl - INFO - Epoch [29][1000/1178] lr: 2.279e-02, eta: 6:17:41, time: 0.150, data_time: 0.000, memory: 3565, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 0.7160, loss: 0.7160 +2025-07-02 13:58:14,698 - pyskl - INFO - Epoch [29][1100/1178] lr: 2.277e-02, eta: 6:17:22, time: 0.151, data_time: 0.000, memory: 3565, top1_acc: 0.8588, top5_acc: 0.9856, loss_cls: 0.7100, loss: 0.7100 +2025-07-02 13:58:26,999 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 13:58:49,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:58:49,997 - pyskl - INFO - +top1_acc 0.8217 +top5_acc 0.9826 +2025-07-02 13:58:49,998 - pyskl - INFO - Epoch(val) [29][169] top1_acc: 0.8217, top5_acc: 0.9826 +2025-07-02 13:59:26,231 - pyskl - INFO - Epoch [30][100/1178] lr: 2.275e-02, eta: 6:17:27, time: 0.362, data_time: 0.207, memory: 3565, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5705, loss: 0.5705 +2025-07-02 13:59:41,784 - pyskl - INFO - Epoch [30][200/1178] lr: 2.274e-02, eta: 6:17:10, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8594, top5_acc: 0.9856, loss_cls: 0.6497, loss: 0.6497 +2025-07-02 13:59:57,449 - pyskl - INFO - Epoch [30][300/1178] lr: 2.273e-02, eta: 6:16:53, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 0.6856, loss: 0.6856 +2025-07-02 14:00:13,171 - pyskl - INFO - Epoch [30][400/1178] lr: 2.271e-02, eta: 6:16:36, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 0.6615, loss: 0.6615 +2025-07-02 14:00:29,015 - pyskl - INFO - Epoch [30][500/1178] lr: 2.270e-02, eta: 6:16:20, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 0.7338, loss: 0.7338 +2025-07-02 14:00:44,955 - pyskl - INFO - Epoch [30][600/1178] lr: 2.269e-02, eta: 6:16:04, time: 0.159, data_time: 0.000, memory: 3565, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 0.6108, loss: 0.6108 +2025-07-02 14:01:00,614 - pyskl - INFO - Epoch [30][700/1178] lr: 2.267e-02, eta: 6:15:47, time: 0.157, data_time: 0.000, memory: 3565, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 0.6906, loss: 0.6906 +2025-07-02 14:01:16,239 - pyskl - INFO - Epoch [30][800/1178] lr: 2.266e-02, eta: 6:15:30, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 0.6496, loss: 0.6496 +2025-07-02 14:01:31,827 - pyskl - INFO - Epoch [30][900/1178] lr: 2.265e-02, eta: 6:15:13, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8781, top5_acc: 0.9812, loss_cls: 0.6242, loss: 0.6242 +2025-07-02 14:01:47,380 - pyskl - INFO - Epoch [30][1000/1178] lr: 2.264e-02, eta: 6:14:56, time: 0.156, data_time: 0.000, memory: 3565, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 0.6609, loss: 0.6609 +2025-07-02 14:02:03,177 - pyskl - INFO - Epoch [30][1100/1178] lr: 2.262e-02, eta: 6:14:40, time: 0.158, data_time: 0.000, memory: 3565, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.6126, loss: 0.6126 +2025-07-02 14:02:15,981 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 14:02:38,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:02:38,706 - pyskl - INFO - +top1_acc 0.8539 +top5_acc 0.9900 +2025-07-02 14:02:38,710 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_21.pth was removed +2025-07-02 14:02:38,834 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-02 14:02:38,835 - pyskl - INFO - Best top1_acc is 0.8539 at 30 epoch. +2025-07-02 14:02:38,836 - pyskl - INFO - Epoch(val) [30][169] top1_acc: 0.8539, top5_acc: 0.9900 +2025-07-02 14:03:15,470 - pyskl - INFO - Epoch [31][100/1178] lr: 2.260e-02, eta: 6:14:45, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 0.7055, loss: 0.7055 +2025-07-02 14:03:30,948 - pyskl - INFO - Epoch [31][200/1178] lr: 2.259e-02, eta: 6:14:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 0.6765, loss: 0.6765 +2025-07-02 14:03:46,502 - pyskl - INFO - Epoch [31][300/1178] lr: 2.257e-02, eta: 6:14:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 0.7062, loss: 0.7062 +2025-07-02 14:04:02,196 - pyskl - INFO - Epoch [31][400/1178] lr: 2.256e-02, eta: 6:13:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 0.7322, loss: 0.7322 +2025-07-02 14:04:17,945 - pyskl - INFO - Epoch [31][500/1178] lr: 2.255e-02, eta: 6:13:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 0.6722, loss: 0.6722 +2025-07-02 14:04:33,552 - pyskl - INFO - Epoch [31][600/1178] lr: 2.253e-02, eta: 6:13:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8606, top5_acc: 0.9875, loss_cls: 0.7087, loss: 0.7087 +2025-07-02 14:04:49,071 - pyskl - INFO - Epoch [31][700/1178] lr: 2.252e-02, eta: 6:13:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6555, loss: 0.6555 +2025-07-02 14:05:04,566 - pyskl - INFO - Epoch [31][800/1178] lr: 2.251e-02, eta: 6:12:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 0.6993, loss: 0.6993 +2025-07-02 14:05:20,090 - pyskl - INFO - Epoch [31][900/1178] lr: 2.249e-02, eta: 6:12:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8650, top5_acc: 0.9838, loss_cls: 0.7348, loss: 0.7348 +2025-07-02 14:05:35,554 - pyskl - INFO - Epoch [31][1000/1178] lr: 2.248e-02, eta: 6:12:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 0.7156, loss: 0.7156 +2025-07-02 14:05:51,166 - pyskl - INFO - Epoch [31][1100/1178] lr: 2.247e-02, eta: 6:11:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 0.7544, loss: 0.7544 +2025-07-02 14:06:03,901 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 14:06:26,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:06:26,787 - pyskl - INFO - +top1_acc 0.8033 +top5_acc 0.9863 +2025-07-02 14:06:26,787 - pyskl - INFO - Epoch(val) [31][169] top1_acc: 0.8033, top5_acc: 0.9863 +2025-07-02 14:07:03,159 - pyskl - INFO - Epoch [32][100/1178] lr: 2.244e-02, eta: 6:11:54, time: 0.364, data_time: 0.205, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 0.6453, loss: 0.6453 +2025-07-02 14:07:18,597 - pyskl - INFO - Epoch [32][200/1178] lr: 2.243e-02, eta: 6:11:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5980, loss: 0.5980 +2025-07-02 14:07:34,082 - pyskl - INFO - Epoch [32][300/1178] lr: 2.242e-02, eta: 6:11:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 14:07:49,569 - pyskl - INFO - Epoch [32][400/1178] lr: 2.240e-02, eta: 6:11:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 0.7077, loss: 0.7077 +2025-07-02 14:08:04,986 - pyskl - INFO - Epoch [32][500/1178] lr: 2.239e-02, eta: 6:10:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9831, loss_cls: 0.6480, loss: 0.6480 +2025-07-02 14:08:20,464 - pyskl - INFO - Epoch [32][600/1178] lr: 2.238e-02, eta: 6:10:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 0.7355, loss: 0.7355 +2025-07-02 14:08:35,940 - pyskl - INFO - Epoch [32][700/1178] lr: 2.236e-02, eta: 6:10:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 0.7133, loss: 0.7133 +2025-07-02 14:08:51,384 - pyskl - INFO - Epoch [32][800/1178] lr: 2.235e-02, eta: 6:09:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 0.6098, loss: 0.6098 +2025-07-02 14:09:06,831 - pyskl - INFO - Epoch [32][900/1178] lr: 2.233e-02, eta: 6:09:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8531, top5_acc: 0.9856, loss_cls: 0.7484, loss: 0.7484 +2025-07-02 14:09:22,278 - pyskl - INFO - Epoch [32][1000/1178] lr: 2.232e-02, eta: 6:09:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8594, top5_acc: 0.9856, loss_cls: 0.6918, loss: 0.6918 +2025-07-02 14:09:37,884 - pyskl - INFO - Epoch [32][1100/1178] lr: 2.231e-02, eta: 6:08:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9906, loss_cls: 0.6272, loss: 0.6272 +2025-07-02 14:09:50,621 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 14:10:13,427 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:10:13,437 - pyskl - INFO - +top1_acc 0.8550 +top5_acc 0.9808 +2025-07-02 14:10:13,440 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_30.pth was removed +2025-07-02 14:10:13,549 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2025-07-02 14:10:13,550 - pyskl - INFO - Best top1_acc is 0.8550 at 32 epoch. +2025-07-02 14:10:13,551 - pyskl - INFO - Epoch(val) [32][169] top1_acc: 0.8550, top5_acc: 0.9808 +2025-07-02 14:10:49,972 - pyskl - INFO - Epoch [33][100/1178] lr: 2.228e-02, eta: 6:09:00, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 0.6469, loss: 0.6469 +2025-07-02 14:11:05,561 - pyskl - INFO - Epoch [33][200/1178] lr: 2.227e-02, eta: 6:08:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.6020, loss: 0.6020 +2025-07-02 14:11:20,981 - pyskl - INFO - Epoch [33][300/1178] lr: 2.225e-02, eta: 6:08:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 0.6407, loss: 0.6407 +2025-07-02 14:11:36,520 - pyskl - INFO - Epoch [33][400/1178] lr: 2.224e-02, eta: 6:08:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 0.6836, loss: 0.6836 +2025-07-02 14:11:52,152 - pyskl - INFO - Epoch [33][500/1178] lr: 2.223e-02, eta: 6:07:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8694, top5_acc: 0.9875, loss_cls: 0.6928, loss: 0.6928 +2025-07-02 14:12:07,665 - pyskl - INFO - Epoch [33][600/1178] lr: 2.221e-02, eta: 6:07:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 0.6361, loss: 0.6361 +2025-07-02 14:12:23,224 - pyskl - INFO - Epoch [33][700/1178] lr: 2.220e-02, eta: 6:07:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 0.5925, loss: 0.5925 +2025-07-02 14:12:38,807 - pyskl - INFO - Epoch [33][800/1178] lr: 2.218e-02, eta: 6:06:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 0.7478, loss: 0.7478 +2025-07-02 14:12:54,556 - pyskl - INFO - Epoch [33][900/1178] lr: 2.217e-02, eta: 6:06:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6125, loss: 0.6125 +2025-07-02 14:13:10,064 - pyskl - INFO - Epoch [33][1000/1178] lr: 2.216e-02, eta: 6:06:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.6196, loss: 0.6196 +2025-07-02 14:13:25,761 - pyskl - INFO - Epoch [33][1100/1178] lr: 2.214e-02, eta: 6:06:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 0.6965, loss: 0.6965 +2025-07-02 14:13:38,528 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 14:14:01,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:14:01,446 - pyskl - INFO - +top1_acc 0.6683 +top5_acc 0.9534 +2025-07-02 14:14:01,446 - pyskl - INFO - Epoch(val) [33][169] top1_acc: 0.6683, top5_acc: 0.9534 +2025-07-02 14:14:38,078 - pyskl - INFO - Epoch [34][100/1178] lr: 2.212e-02, eta: 6:06:08, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5973, loss: 0.5973 +2025-07-02 14:14:53,435 - pyskl - INFO - Epoch [34][200/1178] lr: 2.210e-02, eta: 6:05:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.5928, loss: 0.5928 +2025-07-02 14:15:08,919 - pyskl - INFO - Epoch [34][300/1178] lr: 2.209e-02, eta: 6:05:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5813, loss: 0.5813 +2025-07-02 14:15:24,402 - pyskl - INFO - Epoch [34][400/1178] lr: 2.207e-02, eta: 6:05:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 0.6666, loss: 0.6666 +2025-07-02 14:15:39,833 - pyskl - INFO - Epoch [34][500/1178] lr: 2.206e-02, eta: 6:04:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6919, loss: 0.6919 +2025-07-02 14:15:55,275 - pyskl - INFO - Epoch [34][600/1178] lr: 2.205e-02, eta: 6:04:40, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.6066, loss: 0.6066 +2025-07-02 14:16:10,709 - pyskl - INFO - Epoch [34][700/1178] lr: 2.203e-02, eta: 6:04:22, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9781, loss_cls: 0.6617, loss: 0.6617 +2025-07-02 14:16:26,114 - pyskl - INFO - Epoch [34][800/1178] lr: 2.202e-02, eta: 6:04:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.6092, loss: 0.6092 +2025-07-02 14:16:41,644 - pyskl - INFO - Epoch [34][900/1178] lr: 2.200e-02, eta: 6:03:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 0.6353, loss: 0.6353 +2025-07-02 14:16:57,162 - pyskl - INFO - Epoch [34][1000/1178] lr: 2.199e-02, eta: 6:03:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 0.7420, loss: 0.7420 +2025-07-02 14:17:12,717 - pyskl - INFO - Epoch [34][1100/1178] lr: 2.197e-02, eta: 6:03:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9850, loss_cls: 0.6765, loss: 0.6765 +2025-07-02 14:17:25,594 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 14:17:48,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:17:48,498 - pyskl - INFO - +top1_acc 0.8358 +top5_acc 0.9889 +2025-07-02 14:17:48,499 - pyskl - INFO - Epoch(val) [34][169] top1_acc: 0.8358, top5_acc: 0.9889 +2025-07-02 14:18:24,638 - pyskl - INFO - Epoch [35][100/1178] lr: 2.195e-02, eta: 6:03:10, time: 0.361, data_time: 0.205, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9844, loss_cls: 0.6506, loss: 0.6506 +2025-07-02 14:18:39,996 - pyskl - INFO - Epoch [35][200/1178] lr: 2.193e-02, eta: 6:02:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 0.6431, loss: 0.6431 +2025-07-02 14:18:55,375 - pyskl - INFO - Epoch [35][300/1178] lr: 2.192e-02, eta: 6:02:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 0.6188, loss: 0.6188 +2025-07-02 14:19:10,809 - pyskl - INFO - Epoch [35][400/1178] lr: 2.190e-02, eta: 6:02:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8706, top5_acc: 0.9881, loss_cls: 0.6662, loss: 0.6662 +2025-07-02 14:19:26,309 - pyskl - INFO - Epoch [35][500/1178] lr: 2.189e-02, eta: 6:01:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.6199, loss: 0.6199 +2025-07-02 14:19:41,780 - pyskl - INFO - Epoch [35][600/1178] lr: 2.187e-02, eta: 6:01:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 0.6502, loss: 0.6502 +2025-07-02 14:19:57,227 - pyskl - INFO - Epoch [35][700/1178] lr: 2.186e-02, eta: 6:01:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6552, loss: 0.6552 +2025-07-02 14:20:12,703 - pyskl - INFO - Epoch [35][800/1178] lr: 2.185e-02, eta: 6:01:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 0.7074, loss: 0.7074 +2025-07-02 14:20:28,370 - pyskl - INFO - Epoch [35][900/1178] lr: 2.183e-02, eta: 6:00:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 0.6109, loss: 0.6109 +2025-07-02 14:20:43,980 - pyskl - INFO - Epoch [35][1000/1178] lr: 2.182e-02, eta: 6:00:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9838, loss_cls: 0.6358, loss: 0.6358 +2025-07-02 14:20:59,573 - pyskl - INFO - Epoch [35][1100/1178] lr: 2.180e-02, eta: 6:00:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8712, top5_acc: 0.9888, loss_cls: 0.6330, loss: 0.6330 +2025-07-02 14:21:12,362 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 14:21:35,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:21:35,335 - pyskl - INFO - +top1_acc 0.7996 +top5_acc 0.9582 +2025-07-02 14:21:35,335 - pyskl - INFO - Epoch(val) [35][169] top1_acc: 0.7996, top5_acc: 0.9582 +2025-07-02 14:22:11,880 - pyskl - INFO - Epoch [36][100/1178] lr: 2.177e-02, eta: 6:00:14, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.6421, loss: 0.6421 +2025-07-02 14:22:27,476 - pyskl - INFO - Epoch [36][200/1178] lr: 2.176e-02, eta: 5:59:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8719, top5_acc: 0.9800, loss_cls: 0.6943, loss: 0.6943 +2025-07-02 14:22:43,002 - pyskl - INFO - Epoch [36][300/1178] lr: 2.174e-02, eta: 5:59:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.6068, loss: 0.6068 +2025-07-02 14:22:58,486 - pyskl - INFO - Epoch [36][400/1178] lr: 2.173e-02, eta: 5:59:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8681, top5_acc: 0.9825, loss_cls: 0.7167, loss: 0.7167 +2025-07-02 14:23:14,005 - pyskl - INFO - Epoch [36][500/1178] lr: 2.171e-02, eta: 5:59:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 0.6598, loss: 0.6598 +2025-07-02 14:23:29,501 - pyskl - INFO - Epoch [36][600/1178] lr: 2.170e-02, eta: 5:58:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 0.6299, loss: 0.6299 +2025-07-02 14:23:44,994 - pyskl - INFO - Epoch [36][700/1178] lr: 2.168e-02, eta: 5:58:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.6057, loss: 0.6057 +2025-07-02 14:24:00,481 - pyskl - INFO - Epoch [36][800/1178] lr: 2.167e-02, eta: 5:58:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6462, loss: 0.6462 +2025-07-02 14:24:16,058 - pyskl - INFO - Epoch [36][900/1178] lr: 2.165e-02, eta: 5:57:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.6783, loss: 0.6783 +2025-07-02 14:24:31,689 - pyskl - INFO - Epoch [36][1000/1178] lr: 2.164e-02, eta: 5:57:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 0.6367, loss: 0.6367 +2025-07-02 14:24:47,305 - pyskl - INFO - Epoch [36][1100/1178] lr: 2.162e-02, eta: 5:57:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 14:25:00,176 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 14:25:23,012 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:25:23,022 - pyskl - INFO - +top1_acc 0.8406 +top5_acc 0.9896 +2025-07-02 14:25:23,023 - pyskl - INFO - Epoch(val) [36][169] top1_acc: 0.8406, top5_acc: 0.9896 +2025-07-02 14:25:59,452 - pyskl - INFO - Epoch [37][100/1178] lr: 2.160e-02, eta: 5:57:17, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9919, loss_cls: 0.6144, loss: 0.6144 +2025-07-02 14:26:14,881 - pyskl - INFO - Epoch [37][200/1178] lr: 2.158e-02, eta: 5:57:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 0.6471, loss: 0.6471 +2025-07-02 14:26:30,382 - pyskl - INFO - Epoch [37][300/1178] lr: 2.157e-02, eta: 5:56:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5534, loss: 0.5534 +2025-07-02 14:26:45,953 - pyskl - INFO - Epoch [37][400/1178] lr: 2.155e-02, eta: 5:56:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.6049, loss: 0.6049 +2025-07-02 14:27:01,440 - pyskl - INFO - Epoch [37][500/1178] lr: 2.154e-02, eta: 5:56:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9844, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 14:27:17,108 - pyskl - INFO - Epoch [37][600/1178] lr: 2.152e-02, eta: 5:55:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8906, top5_acc: 0.9812, loss_cls: 0.5943, loss: 0.5943 +2025-07-02 14:27:32,700 - pyskl - INFO - Epoch [37][700/1178] lr: 2.151e-02, eta: 5:55:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.6075, loss: 0.6075 +2025-07-02 14:27:48,203 - pyskl - INFO - Epoch [37][800/1178] lr: 2.149e-02, eta: 5:55:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9831, loss_cls: 0.6297, loss: 0.6297 +2025-07-02 14:28:03,801 - pyskl - INFO - Epoch [37][900/1178] lr: 2.147e-02, eta: 5:54:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9838, loss_cls: 0.6203, loss: 0.6203 +2025-07-02 14:28:19,392 - pyskl - INFO - Epoch [37][1000/1178] lr: 2.146e-02, eta: 5:54:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5865, loss: 0.5865 +2025-07-02 14:28:35,082 - pyskl - INFO - Epoch [37][1100/1178] lr: 2.144e-02, eta: 5:54:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6364, loss: 0.6364 +2025-07-02 14:28:48,142 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 14:29:11,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:29:11,111 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9852 +2025-07-02 14:29:11,115 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_32.pth was removed +2025-07-02 14:29:11,232 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. +2025-07-02 14:29:11,232 - pyskl - INFO - Best top1_acc is 0.8846 at 37 epoch. +2025-07-02 14:29:11,234 - pyskl - INFO - Epoch(val) [37][169] top1_acc: 0.8846, top5_acc: 0.9852 +2025-07-02 14:29:48,062 - pyskl - INFO - Epoch [38][100/1178] lr: 2.142e-02, eta: 5:54:22, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5684, loss: 0.5684 +2025-07-02 14:30:03,448 - pyskl - INFO - Epoch [38][200/1178] lr: 2.140e-02, eta: 5:54:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9906, loss_cls: 0.6024, loss: 0.6024 +2025-07-02 14:30:18,816 - pyskl - INFO - Epoch [38][300/1178] lr: 2.138e-02, eta: 5:53:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5574, loss: 0.5574 +2025-07-02 14:30:34,274 - pyskl - INFO - Epoch [38][400/1178] lr: 2.137e-02, eta: 5:53:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 0.6406, loss: 0.6406 +2025-07-02 14:30:49,705 - pyskl - INFO - Epoch [38][500/1178] lr: 2.135e-02, eta: 5:53:11, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.6384, loss: 0.6384 +2025-07-02 14:31:05,152 - pyskl - INFO - Epoch [38][600/1178] lr: 2.134e-02, eta: 5:52:54, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 14:31:20,697 - pyskl - INFO - Epoch [38][700/1178] lr: 2.132e-02, eta: 5:52:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9875, loss_cls: 0.5158, loss: 0.5158 +2025-07-02 14:31:36,241 - pyskl - INFO - Epoch [38][800/1178] lr: 2.131e-02, eta: 5:52:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 0.6473, loss: 0.6473 +2025-07-02 14:31:51,867 - pyskl - INFO - Epoch [38][900/1178] lr: 2.129e-02, eta: 5:52:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 0.6625, loss: 0.6625 +2025-07-02 14:32:07,473 - pyskl - INFO - Epoch [38][1000/1178] lr: 2.127e-02, eta: 5:51:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9825, loss_cls: 0.6533, loss: 0.6533 +2025-07-02 14:32:23,050 - pyskl - INFO - Epoch [38][1100/1178] lr: 2.126e-02, eta: 5:51:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5854, loss: 0.5854 +2025-07-02 14:32:35,775 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 14:32:58,639 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:32:58,649 - pyskl - INFO - +top1_acc 0.7800 +top5_acc 0.9619 +2025-07-02 14:32:58,649 - pyskl - INFO - Epoch(val) [38][169] top1_acc: 0.7800, top5_acc: 0.9619 +2025-07-02 14:33:34,926 - pyskl - INFO - Epoch [39][100/1178] lr: 2.123e-02, eta: 5:51:22, time: 0.363, data_time: 0.205, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9875, loss_cls: 0.5301, loss: 0.5301 +2025-07-02 14:33:50,438 - pyskl - INFO - Epoch [39][200/1178] lr: 2.121e-02, eta: 5:51:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9912, loss_cls: 0.6080, loss: 0.6080 +2025-07-02 14:34:05,910 - pyskl - INFO - Epoch [39][300/1178] lr: 2.120e-02, eta: 5:50:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 0.6524, loss: 0.6524 +2025-07-02 14:34:21,349 - pyskl - INFO - Epoch [39][400/1178] lr: 2.118e-02, eta: 5:50:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9862, loss_cls: 0.5924, loss: 0.5924 +2025-07-02 14:34:36,925 - pyskl - INFO - Epoch [39][500/1178] lr: 2.117e-02, eta: 5:50:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9900, loss_cls: 0.6009, loss: 0.6009 +2025-07-02 14:34:52,512 - pyskl - INFO - Epoch [39][600/1178] lr: 2.115e-02, eta: 5:49:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 0.6162, loss: 0.6162 +2025-07-02 14:35:08,042 - pyskl - INFO - Epoch [39][700/1178] lr: 2.113e-02, eta: 5:49:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 0.6553, loss: 0.6553 +2025-07-02 14:35:23,586 - pyskl - INFO - Epoch [39][800/1178] lr: 2.112e-02, eta: 5:49:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5570, loss: 0.5570 +2025-07-02 14:35:39,265 - pyskl - INFO - Epoch [39][900/1178] lr: 2.110e-02, eta: 5:49:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 0.5954, loss: 0.5954 +2025-07-02 14:35:54,892 - pyskl - INFO - Epoch [39][1000/1178] lr: 2.109e-02, eta: 5:48:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 0.5989, loss: 0.5989 +2025-07-02 14:36:10,470 - pyskl - INFO - Epoch [39][1100/1178] lr: 2.107e-02, eta: 5:48:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 0.6616, loss: 0.6616 +2025-07-02 14:36:23,278 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 14:36:46,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:36:46,184 - pyskl - INFO - +top1_acc 0.8469 +top5_acc 0.9919 +2025-07-02 14:36:46,184 - pyskl - INFO - Epoch(val) [39][169] top1_acc: 0.8469, top5_acc: 0.9919 +2025-07-02 14:37:22,689 - pyskl - INFO - Epoch [40][100/1178] lr: 2.104e-02, eta: 5:48:24, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6602, loss: 0.6602 +2025-07-02 14:37:38,152 - pyskl - INFO - Epoch [40][200/1178] lr: 2.102e-02, eta: 5:48:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.6199, loss: 0.6199 +2025-07-02 14:37:53,607 - pyskl - INFO - Epoch [40][300/1178] lr: 2.101e-02, eta: 5:47:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5677, loss: 0.5677 +2025-07-02 14:38:09,120 - pyskl - INFO - Epoch [40][400/1178] lr: 2.099e-02, eta: 5:47:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.6002, loss: 0.6002 +2025-07-02 14:38:24,664 - pyskl - INFO - Epoch [40][500/1178] lr: 2.098e-02, eta: 5:47:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9831, loss_cls: 0.6383, loss: 0.6383 +2025-07-02 14:38:40,211 - pyskl - INFO - Epoch [40][600/1178] lr: 2.096e-02, eta: 5:46:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8838, top5_acc: 0.9819, loss_cls: 0.6236, loss: 0.6236 +2025-07-02 14:38:55,730 - pyskl - INFO - Epoch [40][700/1178] lr: 2.094e-02, eta: 5:46:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.6010, loss: 0.6010 +2025-07-02 14:39:11,212 - pyskl - INFO - Epoch [40][800/1178] lr: 2.093e-02, eta: 5:46:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9819, loss_cls: 0.6173, loss: 0.6173 +2025-07-02 14:39:26,630 - pyskl - INFO - Epoch [40][900/1178] lr: 2.091e-02, eta: 5:46:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9819, loss_cls: 0.6371, loss: 0.6371 +2025-07-02 14:39:42,185 - pyskl - INFO - Epoch [40][1000/1178] lr: 2.089e-02, eta: 5:45:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.5654, loss: 0.5654 +2025-07-02 14:39:57,827 - pyskl - INFO - Epoch [40][1100/1178] lr: 2.088e-02, eta: 5:45:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5667, loss: 0.5667 +2025-07-02 14:40:10,556 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 14:40:33,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:40:33,672 - pyskl - INFO - +top1_acc 0.8598 +top5_acc 0.9885 +2025-07-02 14:40:33,672 - pyskl - INFO - Epoch(val) [40][169] top1_acc: 0.8598, top5_acc: 0.9885 +2025-07-02 14:41:10,063 - pyskl - INFO - Epoch [41][100/1178] lr: 2.085e-02, eta: 5:45:24, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 0.5550, loss: 0.5550 +2025-07-02 14:41:25,538 - pyskl - INFO - Epoch [41][200/1178] lr: 2.083e-02, eta: 5:45:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9931, loss_cls: 0.5545, loss: 0.5545 +2025-07-02 14:41:41,063 - pyskl - INFO - Epoch [41][300/1178] lr: 2.081e-02, eta: 5:44:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5392, loss: 0.5392 +2025-07-02 14:41:56,570 - pyskl - INFO - Epoch [41][400/1178] lr: 2.080e-02, eta: 5:44:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6229, loss: 0.6229 +2025-07-02 14:42:12,100 - pyskl - INFO - Epoch [41][500/1178] lr: 2.078e-02, eta: 5:44:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8788, top5_acc: 0.9875, loss_cls: 0.6114, loss: 0.6114 +2025-07-02 14:42:28,008 - pyskl - INFO - Epoch [41][600/1178] lr: 2.076e-02, eta: 5:43:59, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5915, loss: 0.5915 +2025-07-02 14:42:43,788 - pyskl - INFO - Epoch [41][700/1178] lr: 2.075e-02, eta: 5:43:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5514, loss: 0.5514 +2025-07-02 14:42:59,515 - pyskl - INFO - Epoch [41][800/1178] lr: 2.073e-02, eta: 5:43:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.6024, loss: 0.6024 +2025-07-02 14:43:15,197 - pyskl - INFO - Epoch [41][900/1178] lr: 2.071e-02, eta: 5:43:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.5732, loss: 0.5732 +2025-07-02 14:43:31,007 - pyskl - INFO - Epoch [41][1000/1178] lr: 2.070e-02, eta: 5:42:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6171, loss: 0.6171 +2025-07-02 14:43:46,698 - pyskl - INFO - Epoch [41][1100/1178] lr: 2.068e-02, eta: 5:42:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.6160, loss: 0.6160 +2025-07-02 14:43:59,401 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 14:44:22,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:44:22,457 - pyskl - INFO - +top1_acc 0.8635 +top5_acc 0.9893 +2025-07-02 14:44:22,458 - pyskl - INFO - Epoch(val) [41][169] top1_acc: 0.8635, top5_acc: 0.9893 +2025-07-02 14:44:58,823 - pyskl - INFO - Epoch [42][100/1178] lr: 2.065e-02, eta: 5:42:28, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5853, loss: 0.5853 +2025-07-02 14:45:14,226 - pyskl - INFO - Epoch [42][200/1178] lr: 2.063e-02, eta: 5:42:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 14:45:29,650 - pyskl - INFO - Epoch [42][300/1178] lr: 2.062e-02, eta: 5:41:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9800, loss_cls: 0.6495, loss: 0.6495 +2025-07-02 14:45:45,089 - pyskl - INFO - Epoch [42][400/1178] lr: 2.060e-02, eta: 5:41:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9869, loss_cls: 0.5589, loss: 0.5589 +2025-07-02 14:46:00,538 - pyskl - INFO - Epoch [42][500/1178] lr: 2.058e-02, eta: 5:41:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 0.5267, loss: 0.5267 +2025-07-02 14:46:16,000 - pyskl - INFO - Epoch [42][600/1178] lr: 2.057e-02, eta: 5:41:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8650, top5_acc: 0.9819, loss_cls: 0.6641, loss: 0.6641 +2025-07-02 14:46:31,513 - pyskl - INFO - Epoch [42][700/1178] lr: 2.055e-02, eta: 5:40:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 0.6221, loss: 0.6221 +2025-07-02 14:46:47,034 - pyskl - INFO - Epoch [42][800/1178] lr: 2.053e-02, eta: 5:40:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9856, loss_cls: 0.5763, loss: 0.5763 +2025-07-02 14:47:02,555 - pyskl - INFO - Epoch [42][900/1178] lr: 2.052e-02, eta: 5:40:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5413, loss: 0.5413 +2025-07-02 14:47:18,116 - pyskl - INFO - Epoch [42][1000/1178] lr: 2.050e-02, eta: 5:39:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9888, loss_cls: 0.5891, loss: 0.5891 +2025-07-02 14:47:33,683 - pyskl - INFO - Epoch [42][1100/1178] lr: 2.048e-02, eta: 5:39:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.6027, loss: 0.6027 +2025-07-02 14:47:46,319 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 14:48:09,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:48:09,372 - pyskl - INFO - +top1_acc 0.8436 +top5_acc 0.9656 +2025-07-02 14:48:09,372 - pyskl - INFO - Epoch(val) [42][169] top1_acc: 0.8436, top5_acc: 0.9656 +2025-07-02 14:48:45,785 - pyskl - INFO - Epoch [43][100/1178] lr: 2.045e-02, eta: 5:39:26, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5669, loss: 0.5669 +2025-07-02 14:49:01,278 - pyskl - INFO - Epoch [43][200/1178] lr: 2.043e-02, eta: 5:39:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5187, loss: 0.5187 +2025-07-02 14:49:16,778 - pyskl - INFO - Epoch [43][300/1178] lr: 2.042e-02, eta: 5:38:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.6176, loss: 0.6176 +2025-07-02 14:49:32,290 - pyskl - INFO - Epoch [43][400/1178] lr: 2.040e-02, eta: 5:38:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.5320, loss: 0.5320 +2025-07-02 14:49:47,788 - pyskl - INFO - Epoch [43][500/1178] lr: 2.038e-02, eta: 5:38:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5555, loss: 0.5555 +2025-07-02 14:50:03,275 - pyskl - INFO - Epoch [43][600/1178] lr: 2.036e-02, eta: 5:37:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8831, top5_acc: 0.9850, loss_cls: 0.6217, loss: 0.6217 +2025-07-02 14:50:18,969 - pyskl - INFO - Epoch [43][700/1178] lr: 2.035e-02, eta: 5:37:42, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.5456, loss: 0.5456 +2025-07-02 14:50:34,718 - pyskl - INFO - Epoch [43][800/1178] lr: 2.033e-02, eta: 5:37:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.5776, loss: 0.5776 +2025-07-02 14:50:50,280 - pyskl - INFO - Epoch [43][900/1178] lr: 2.031e-02, eta: 5:37:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.6309, loss: 0.6309 +2025-07-02 14:51:05,858 - pyskl - INFO - Epoch [43][1000/1178] lr: 2.030e-02, eta: 5:36:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5702, loss: 0.5702 +2025-07-02 14:51:21,425 - pyskl - INFO - Epoch [43][1100/1178] lr: 2.028e-02, eta: 5:36:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 0.5700, loss: 0.5700 +2025-07-02 14:51:34,125 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 14:51:57,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:51:57,228 - pyskl - INFO - +top1_acc 0.8513 +top5_acc 0.9893 +2025-07-02 14:51:57,229 - pyskl - INFO - Epoch(val) [43][169] top1_acc: 0.8513, top5_acc: 0.9893 +2025-07-02 14:52:33,706 - pyskl - INFO - Epoch [44][100/1178] lr: 2.025e-02, eta: 5:36:25, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5623, loss: 0.5623 +2025-07-02 14:52:49,184 - pyskl - INFO - Epoch [44][200/1178] lr: 2.023e-02, eta: 5:36:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5838, loss: 0.5838 +2025-07-02 14:53:04,620 - pyskl - INFO - Epoch [44][300/1178] lr: 2.021e-02, eta: 5:35:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 0.5451, loss: 0.5451 +2025-07-02 14:53:20,081 - pyskl - INFO - Epoch [44][400/1178] lr: 2.019e-02, eta: 5:35:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 14:53:35,640 - pyskl - INFO - Epoch [44][500/1178] lr: 2.018e-02, eta: 5:35:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.6129, loss: 0.6129 +2025-07-02 14:53:51,160 - pyskl - INFO - Epoch [44][600/1178] lr: 2.016e-02, eta: 5:34:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5610, loss: 0.5610 +2025-07-02 14:54:06,738 - pyskl - INFO - Epoch [44][700/1178] lr: 2.014e-02, eta: 5:34:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5958, loss: 0.5958 +2025-07-02 14:54:22,259 - pyskl - INFO - Epoch [44][800/1178] lr: 2.012e-02, eta: 5:34:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 0.6069, loss: 0.6069 +2025-07-02 14:54:37,826 - pyskl - INFO - Epoch [44][900/1178] lr: 2.011e-02, eta: 5:34:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5274, loss: 0.5274 +2025-07-02 14:54:53,391 - pyskl - INFO - Epoch [44][1000/1178] lr: 2.009e-02, eta: 5:33:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9819, loss_cls: 0.5958, loss: 0.5958 +2025-07-02 14:55:09,151 - pyskl - INFO - Epoch [44][1100/1178] lr: 2.007e-02, eta: 5:33:33, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 0.6057, loss: 0.6057 +2025-07-02 14:55:21,798 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 14:55:45,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:55:45,121 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9793 +2025-07-02 14:55:45,121 - pyskl - INFO - Epoch(val) [44][169] top1_acc: 0.8706, top5_acc: 0.9793 +2025-07-02 14:56:21,920 - pyskl - INFO - Epoch [45][100/1178] lr: 2.004e-02, eta: 5:33:25, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 0.5784, loss: 0.5784 +2025-07-02 14:56:37,419 - pyskl - INFO - Epoch [45][200/1178] lr: 2.002e-02, eta: 5:33:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9906, loss_cls: 0.5614, loss: 0.5614 +2025-07-02 14:56:52,941 - pyskl - INFO - Epoch [45][300/1178] lr: 2.000e-02, eta: 5:32:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5357, loss: 0.5357 +2025-07-02 14:57:08,476 - pyskl - INFO - Epoch [45][400/1178] lr: 1.999e-02, eta: 5:32:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5465, loss: 0.5465 +2025-07-02 14:57:24,086 - pyskl - INFO - Epoch [45][500/1178] lr: 1.997e-02, eta: 5:32:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 0.5926, loss: 0.5926 +2025-07-02 14:57:39,680 - pyskl - INFO - Epoch [45][600/1178] lr: 1.995e-02, eta: 5:31:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 0.5497, loss: 0.5497 +2025-07-02 14:57:55,298 - pyskl - INFO - Epoch [45][700/1178] lr: 1.993e-02, eta: 5:31:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5612, loss: 0.5612 +2025-07-02 14:58:10,895 - pyskl - INFO - Epoch [45][800/1178] lr: 1.992e-02, eta: 5:31:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.5575, loss: 0.5575 +2025-07-02 14:58:26,488 - pyskl - INFO - Epoch [45][900/1178] lr: 1.990e-02, eta: 5:31:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6275, loss: 0.6275 +2025-07-02 14:58:42,095 - pyskl - INFO - Epoch [45][1000/1178] lr: 1.988e-02, eta: 5:30:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 0.5654, loss: 0.5654 +2025-07-02 14:58:57,669 - pyskl - INFO - Epoch [45][1100/1178] lr: 1.986e-02, eta: 5:30:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 0.5339, loss: 0.5339 +2025-07-02 14:59:10,447 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 14:59:33,572 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 14:59:33,583 - pyskl - INFO - +top1_acc 0.8672 +top5_acc 0.9904 +2025-07-02 14:59:33,583 - pyskl - INFO - Epoch(val) [45][169] top1_acc: 0.8672, top5_acc: 0.9904 +2025-07-02 15:00:10,042 - pyskl - INFO - Epoch [46][100/1178] lr: 1.983e-02, eta: 5:30:24, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 15:00:25,554 - pyskl - INFO - Epoch [46][200/1178] lr: 1.981e-02, eta: 5:30:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5176, loss: 0.5176 +2025-07-02 15:00:41,007 - pyskl - INFO - Epoch [46][300/1178] lr: 1.979e-02, eta: 5:29:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9825, loss_cls: 0.5903, loss: 0.5903 +2025-07-02 15:00:56,474 - pyskl - INFO - Epoch [46][400/1178] lr: 1.978e-02, eta: 5:29:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5654, loss: 0.5654 +2025-07-02 15:01:12,026 - pyskl - INFO - Epoch [46][500/1178] lr: 1.976e-02, eta: 5:29:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5933, loss: 0.5933 +2025-07-02 15:01:27,563 - pyskl - INFO - Epoch [46][600/1178] lr: 1.974e-02, eta: 5:28:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5715, loss: 0.5715 +2025-07-02 15:01:43,148 - pyskl - INFO - Epoch [46][700/1178] lr: 1.972e-02, eta: 5:28:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 0.5572, loss: 0.5572 +2025-07-02 15:01:58,752 - pyskl - INFO - Epoch [46][800/1178] lr: 1.970e-02, eta: 5:28:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9862, loss_cls: 0.5959, loss: 0.5959 +2025-07-02 15:02:14,351 - pyskl - INFO - Epoch [46][900/1178] lr: 1.968e-02, eta: 5:28:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9931, loss_cls: 0.5641, loss: 0.5641 +2025-07-02 15:02:29,934 - pyskl - INFO - Epoch [46][1000/1178] lr: 1.967e-02, eta: 5:27:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5446, loss: 0.5446 +2025-07-02 15:02:45,512 - pyskl - INFO - Epoch [46][1100/1178] lr: 1.965e-02, eta: 5:27:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8800, top5_acc: 0.9831, loss_cls: 0.6496, loss: 0.6496 +2025-07-02 15:02:58,276 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 15:03:21,169 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:03:21,180 - pyskl - INFO - +top1_acc 0.8376 +top5_acc 0.9922 +2025-07-02 15:03:21,180 - pyskl - INFO - Epoch(val) [46][169] top1_acc: 0.8376, top5_acc: 0.9922 +2025-07-02 15:03:57,996 - pyskl - INFO - Epoch [47][100/1178] lr: 1.962e-02, eta: 5:27:22, time: 0.368, data_time: 0.211, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5302, loss: 0.5302 +2025-07-02 15:04:13,360 - pyskl - INFO - Epoch [47][200/1178] lr: 1.960e-02, eta: 5:27:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.5095, loss: 0.5095 +2025-07-02 15:04:28,723 - pyskl - INFO - Epoch [47][300/1178] lr: 1.958e-02, eta: 5:26:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 0.4851, loss: 0.4851 +2025-07-02 15:04:44,199 - pyskl - INFO - Epoch [47][400/1178] lr: 1.956e-02, eta: 5:26:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5203, loss: 0.5203 +2025-07-02 15:04:59,725 - pyskl - INFO - Epoch [47][500/1178] lr: 1.954e-02, eta: 5:26:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5381, loss: 0.5381 +2025-07-02 15:05:15,225 - pyskl - INFO - Epoch [47][600/1178] lr: 1.952e-02, eta: 5:25:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5627, loss: 0.5627 +2025-07-02 15:05:30,707 - pyskl - INFO - Epoch [47][700/1178] lr: 1.951e-02, eta: 5:25:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 15:05:46,275 - pyskl - INFO - Epoch [47][800/1178] lr: 1.949e-02, eta: 5:25:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9875, loss_cls: 0.5348, loss: 0.5348 +2025-07-02 15:06:01,807 - pyskl - INFO - Epoch [47][900/1178] lr: 1.947e-02, eta: 5:25:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8781, top5_acc: 0.9900, loss_cls: 0.6214, loss: 0.6214 +2025-07-02 15:06:17,399 - pyskl - INFO - Epoch [47][1000/1178] lr: 1.945e-02, eta: 5:24:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.5769, loss: 0.5769 +2025-07-02 15:06:32,996 - pyskl - INFO - Epoch [47][1100/1178] lr: 1.943e-02, eta: 5:24:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5519, loss: 0.5519 +2025-07-02 15:06:45,787 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 15:07:08,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:07:08,703 - pyskl - INFO - +top1_acc 0.8765 +top5_acc 0.9900 +2025-07-02 15:07:08,704 - pyskl - INFO - Epoch(val) [47][169] top1_acc: 0.8765, top5_acc: 0.9900 +2025-07-02 15:07:44,997 - pyskl - INFO - Epoch [48][100/1178] lr: 1.940e-02, eta: 5:24:18, time: 0.363, data_time: 0.205, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4610, loss: 0.4610 +2025-07-02 15:08:00,428 - pyskl - INFO - Epoch [48][200/1178] lr: 1.938e-02, eta: 5:24:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.5869, loss: 0.5869 +2025-07-02 15:08:15,873 - pyskl - INFO - Epoch [48][300/1178] lr: 1.936e-02, eta: 5:23:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5061, loss: 0.5061 +2025-07-02 15:08:31,324 - pyskl - INFO - Epoch [48][400/1178] lr: 1.934e-02, eta: 5:23:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5573, loss: 0.5573 +2025-07-02 15:08:46,822 - pyskl - INFO - Epoch [48][500/1178] lr: 1.932e-02, eta: 5:23:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 0.5221, loss: 0.5221 +2025-07-02 15:09:02,362 - pyskl - INFO - Epoch [48][600/1178] lr: 1.931e-02, eta: 5:22:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9912, loss_cls: 0.5745, loss: 0.5745 +2025-07-02 15:09:18,020 - pyskl - INFO - Epoch [48][700/1178] lr: 1.929e-02, eta: 5:22:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 15:09:33,720 - pyskl - INFO - Epoch [48][800/1178] lr: 1.927e-02, eta: 5:22:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5458, loss: 0.5458 +2025-07-02 15:09:49,225 - pyskl - INFO - Epoch [48][900/1178] lr: 1.925e-02, eta: 5:22:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.5239, loss: 0.5239 +2025-07-02 15:10:04,655 - pyskl - INFO - Epoch [48][1000/1178] lr: 1.923e-02, eta: 5:21:43, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 15:10:20,081 - pyskl - INFO - Epoch [48][1100/1178] lr: 1.921e-02, eta: 5:21:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.6190, loss: 0.6190 +2025-07-02 15:10:32,665 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 15:10:55,910 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:10:55,920 - pyskl - INFO - +top1_acc 0.7944 +top5_acc 0.9619 +2025-07-02 15:10:55,920 - pyskl - INFO - Epoch(val) [48][169] top1_acc: 0.7944, top5_acc: 0.9619 +2025-07-02 15:11:32,732 - pyskl - INFO - Epoch [49][100/1178] lr: 1.918e-02, eta: 5:21:15, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5378, loss: 0.5378 +2025-07-02 15:11:48,149 - pyskl - INFO - Epoch [49][200/1178] lr: 1.916e-02, eta: 5:20:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 15:12:03,607 - pyskl - INFO - Epoch [49][300/1178] lr: 1.914e-02, eta: 5:20:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9944, loss_cls: 0.5012, loss: 0.5012 +2025-07-02 15:12:19,038 - pyskl - INFO - Epoch [49][400/1178] lr: 1.912e-02, eta: 5:20:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5396, loss: 0.5396 +2025-07-02 15:12:34,511 - pyskl - INFO - Epoch [49][500/1178] lr: 1.910e-02, eta: 5:20:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 0.5889, loss: 0.5889 +2025-07-02 15:12:49,982 - pyskl - INFO - Epoch [49][600/1178] lr: 1.909e-02, eta: 5:19:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9862, loss_cls: 0.5460, loss: 0.5460 +2025-07-02 15:13:05,394 - pyskl - INFO - Epoch [49][700/1178] lr: 1.907e-02, eta: 5:19:31, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.5114, loss: 0.5114 +2025-07-02 15:13:20,939 - pyskl - INFO - Epoch [49][800/1178] lr: 1.905e-02, eta: 5:19:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5855, loss: 0.5855 +2025-07-02 15:13:36,545 - pyskl - INFO - Epoch [49][900/1178] lr: 1.903e-02, eta: 5:18:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5301, loss: 0.5301 +2025-07-02 15:13:52,211 - pyskl - INFO - Epoch [49][1000/1178] lr: 1.901e-02, eta: 5:18:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 15:14:07,810 - pyskl - INFO - Epoch [49][1100/1178] lr: 1.899e-02, eta: 5:18:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 15:14:20,453 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 15:14:43,280 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:14:43,290 - pyskl - INFO - +top1_acc 0.8491 +top5_acc 0.9882 +2025-07-02 15:14:43,291 - pyskl - INFO - Epoch(val) [49][169] top1_acc: 0.8491, top5_acc: 0.9882 +2025-07-02 15:15:20,110 - pyskl - INFO - Epoch [50][100/1178] lr: 1.896e-02, eta: 5:18:11, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5462, loss: 0.5462 +2025-07-02 15:15:35,617 - pyskl - INFO - Epoch [50][200/1178] lr: 1.894e-02, eta: 5:17:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5352, loss: 0.5352 +2025-07-02 15:15:51,114 - pyskl - INFO - Epoch [50][300/1178] lr: 1.892e-02, eta: 5:17:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5215, loss: 0.5215 +2025-07-02 15:16:06,553 - pyskl - INFO - Epoch [50][400/1178] lr: 1.890e-02, eta: 5:17:20, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.5247, loss: 0.5247 +2025-07-02 15:16:22,004 - pyskl - INFO - Epoch [50][500/1178] lr: 1.888e-02, eta: 5:17:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.5029, loss: 0.5029 +2025-07-02 15:16:37,548 - pyskl - INFO - Epoch [50][600/1178] lr: 1.886e-02, eta: 5:16:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.6028, loss: 0.6028 +2025-07-02 15:16:53,045 - pyskl - INFO - Epoch [50][700/1178] lr: 1.884e-02, eta: 5:16:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5629, loss: 0.5629 +2025-07-02 15:17:08,689 - pyskl - INFO - Epoch [50][800/1178] lr: 1.882e-02, eta: 5:16:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 15:17:24,290 - pyskl - INFO - Epoch [50][900/1178] lr: 1.880e-02, eta: 5:15:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5356, loss: 0.5356 +2025-07-02 15:17:39,929 - pyskl - INFO - Epoch [50][1000/1178] lr: 1.878e-02, eta: 5:15:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5914, loss: 0.5914 +2025-07-02 15:17:55,587 - pyskl - INFO - Epoch [50][1100/1178] lr: 1.877e-02, eta: 5:15:21, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9944, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 15:18:08,377 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 15:18:31,718 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:18:31,728 - pyskl - INFO - +top1_acc 0.8277 +top5_acc 0.9863 +2025-07-02 15:18:31,729 - pyskl - INFO - Epoch(val) [50][169] top1_acc: 0.8277, top5_acc: 0.9863 +2025-07-02 15:19:08,176 - pyskl - INFO - Epoch [51][100/1178] lr: 1.873e-02, eta: 5:15:08, time: 0.364, data_time: 0.207, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9881, loss_cls: 0.4990, loss: 0.4990 +2025-07-02 15:19:23,768 - pyskl - INFO - Epoch [51][200/1178] lr: 1.871e-02, eta: 5:14:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9869, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 15:19:39,345 - pyskl - INFO - Epoch [51][300/1178] lr: 1.869e-02, eta: 5:14:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 0.5426, loss: 0.5426 +2025-07-02 15:19:54,946 - pyskl - INFO - Epoch [51][400/1178] lr: 1.867e-02, eta: 5:14:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5505, loss: 0.5505 +2025-07-02 15:20:10,519 - pyskl - INFO - Epoch [51][500/1178] lr: 1.865e-02, eta: 5:14:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.5275, loss: 0.5275 +2025-07-02 15:20:26,118 - pyskl - INFO - Epoch [51][600/1178] lr: 1.863e-02, eta: 5:13:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9850, loss_cls: 0.4987, loss: 0.4987 +2025-07-02 15:20:41,730 - pyskl - INFO - Epoch [51][700/1178] lr: 1.861e-02, eta: 5:13:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9956, loss_cls: 0.4690, loss: 0.4690 +2025-07-02 15:20:57,293 - pyskl - INFO - Epoch [51][800/1178] lr: 1.860e-02, eta: 5:13:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5446, loss: 0.5446 +2025-07-02 15:21:12,837 - pyskl - INFO - Epoch [51][900/1178] lr: 1.858e-02, eta: 5:12:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5229, loss: 0.5229 +2025-07-02 15:21:28,427 - pyskl - INFO - Epoch [51][1000/1178] lr: 1.856e-02, eta: 5:12:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5404, loss: 0.5404 +2025-07-02 15:21:44,039 - pyskl - INFO - Epoch [51][1100/1178] lr: 1.854e-02, eta: 5:12:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5806, loss: 0.5806 +2025-07-02 15:21:56,794 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 15:22:19,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:22:19,959 - pyskl - INFO - +top1_acc 0.8916 +top5_acc 0.9926 +2025-07-02 15:22:19,964 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_37.pth was removed +2025-07-02 15:22:20,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. +2025-07-02 15:22:20,091 - pyskl - INFO - Best top1_acc is 0.8916 at 51 epoch. +2025-07-02 15:22:20,091 - pyskl - INFO - Epoch(val) [51][169] top1_acc: 0.8916, top5_acc: 0.9926 +2025-07-02 15:22:57,219 - pyskl - INFO - Epoch [52][100/1178] lr: 1.850e-02, eta: 5:12:06, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 15:23:12,821 - pyskl - INFO - Epoch [52][200/1178] lr: 1.848e-02, eta: 5:11:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5392, loss: 0.5392 +2025-07-02 15:23:28,325 - pyskl - INFO - Epoch [52][300/1178] lr: 1.846e-02, eta: 5:11:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5118, loss: 0.5118 +2025-07-02 15:23:43,845 - pyskl - INFO - Epoch [52][400/1178] lr: 1.844e-02, eta: 5:11:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5501, loss: 0.5501 +2025-07-02 15:23:59,387 - pyskl - INFO - Epoch [52][500/1178] lr: 1.842e-02, eta: 5:10:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 0.5564, loss: 0.5564 +2025-07-02 15:24:14,958 - pyskl - INFO - Epoch [52][600/1178] lr: 1.840e-02, eta: 5:10:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.4786, loss: 0.4786 +2025-07-02 15:24:30,514 - pyskl - INFO - Epoch [52][700/1178] lr: 1.839e-02, eta: 5:10:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 0.5161, loss: 0.5161 +2025-07-02 15:24:46,038 - pyskl - INFO - Epoch [52][800/1178] lr: 1.837e-02, eta: 5:10:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4485, loss: 0.4485 +2025-07-02 15:25:01,635 - pyskl - INFO - Epoch [52][900/1178] lr: 1.835e-02, eta: 5:09:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5069, loss: 0.5069 +2025-07-02 15:25:17,228 - pyskl - INFO - Epoch [52][1000/1178] lr: 1.833e-02, eta: 5:09:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.5279, loss: 0.5279 +2025-07-02 15:25:32,730 - pyskl - INFO - Epoch [52][1100/1178] lr: 1.831e-02, eta: 5:09:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 0.5756, loss: 0.5756 +2025-07-02 15:25:45,362 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 15:26:08,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:26:08,360 - pyskl - INFO - +top1_acc 0.8576 +top5_acc 0.9878 +2025-07-02 15:26:08,361 - pyskl - INFO - Epoch(val) [52][169] top1_acc: 0.8576, top5_acc: 0.9878 +2025-07-02 15:26:44,966 - pyskl - INFO - Epoch [53][100/1178] lr: 1.827e-02, eta: 5:09:02, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4826, loss: 0.4826 +2025-07-02 15:27:00,429 - pyskl - INFO - Epoch [53][200/1178] lr: 1.825e-02, eta: 5:08:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9869, loss_cls: 0.4965, loss: 0.4965 +2025-07-02 15:27:15,873 - pyskl - INFO - Epoch [53][300/1178] lr: 1.823e-02, eta: 5:08:27, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8962, top5_acc: 0.9944, loss_cls: 0.5275, loss: 0.5275 +2025-07-02 15:27:31,322 - pyskl - INFO - Epoch [53][400/1178] lr: 1.821e-02, eta: 5:08:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5425, loss: 0.5425 +2025-07-02 15:27:46,782 - pyskl - INFO - Epoch [53][500/1178] lr: 1.819e-02, eta: 5:07:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5005, loss: 0.5005 +2025-07-02 15:28:02,306 - pyskl - INFO - Epoch [53][600/1178] lr: 1.817e-02, eta: 5:07:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.5033, loss: 0.5033 +2025-07-02 15:28:17,836 - pyskl - INFO - Epoch [53][700/1178] lr: 1.815e-02, eta: 5:07:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 0.5121, loss: 0.5121 +2025-07-02 15:28:33,418 - pyskl - INFO - Epoch [53][800/1178] lr: 1.813e-02, eta: 5:07:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9888, loss_cls: 0.5699, loss: 0.5699 +2025-07-02 15:28:48,925 - pyskl - INFO - Epoch [53][900/1178] lr: 1.811e-02, eta: 5:06:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.4979, loss: 0.4979 +2025-07-02 15:29:04,431 - pyskl - INFO - Epoch [53][1000/1178] lr: 1.809e-02, eta: 5:06:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.5823, loss: 0.5823 +2025-07-02 15:29:20,021 - pyskl - INFO - Epoch [53][1100/1178] lr: 1.807e-02, eta: 5:06:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5245, loss: 0.5245 +2025-07-02 15:29:32,770 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 15:29:55,923 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:29:55,936 - pyskl - INFO - +top1_acc 0.8661 +top5_acc 0.9867 +2025-07-02 15:29:55,937 - pyskl - INFO - Epoch(val) [53][169] top1_acc: 0.8661, top5_acc: 0.9867 +2025-07-02 15:30:32,910 - pyskl - INFO - Epoch [54][100/1178] lr: 1.804e-02, eta: 5:05:57, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.5058, loss: 0.5058 +2025-07-02 15:30:48,398 - pyskl - INFO - Epoch [54][200/1178] lr: 1.802e-02, eta: 5:05:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 15:31:03,838 - pyskl - INFO - Epoch [54][300/1178] lr: 1.800e-02, eta: 5:05:23, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4556, loss: 0.4556 +2025-07-02 15:31:19,286 - pyskl - INFO - Epoch [54][400/1178] lr: 1.798e-02, eta: 5:05:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5032, loss: 0.5032 +2025-07-02 15:31:34,771 - pyskl - INFO - Epoch [54][500/1178] lr: 1.796e-02, eta: 5:04:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9862, loss_cls: 0.5207, loss: 0.5207 +2025-07-02 15:31:50,254 - pyskl - INFO - Epoch [54][600/1178] lr: 1.794e-02, eta: 5:04:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 0.5724, loss: 0.5724 +2025-07-02 15:32:05,716 - pyskl - INFO - Epoch [54][700/1178] lr: 1.792e-02, eta: 5:04:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5480, loss: 0.5480 +2025-07-02 15:32:21,216 - pyskl - INFO - Epoch [54][800/1178] lr: 1.790e-02, eta: 5:03:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 15:32:36,767 - pyskl - INFO - Epoch [54][900/1178] lr: 1.788e-02, eta: 5:03:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9962, loss_cls: 0.4782, loss: 0.4782 +2025-07-02 15:32:52,323 - pyskl - INFO - Epoch [54][1000/1178] lr: 1.786e-02, eta: 5:03:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.5145, loss: 0.5145 +2025-07-02 15:33:07,996 - pyskl - INFO - Epoch [54][1100/1178] lr: 1.784e-02, eta: 5:03:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.8856, top5_acc: 0.9856, loss_cls: 0.6014, loss: 0.6014 +2025-07-02 15:33:20,734 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 15:33:43,672 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:33:43,683 - pyskl - INFO - +top1_acc 0.8868 +top5_acc 0.9904 +2025-07-02 15:33:43,683 - pyskl - INFO - Epoch(val) [54][169] top1_acc: 0.8868, top5_acc: 0.9904 +2025-07-02 15:34:20,535 - pyskl - INFO - Epoch [55][100/1178] lr: 1.780e-02, eta: 5:02:52, time: 0.368, data_time: 0.207, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4607, loss: 0.4607 +2025-07-02 15:34:36,122 - pyskl - INFO - Epoch [55][200/1178] lr: 1.778e-02, eta: 5:02:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.4905, loss: 0.4905 +2025-07-02 15:34:51,670 - pyskl - INFO - Epoch [55][300/1178] lr: 1.776e-02, eta: 5:02:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9875, loss_cls: 0.4518, loss: 0.4518 +2025-07-02 15:35:07,239 - pyskl - INFO - Epoch [55][400/1178] lr: 1.774e-02, eta: 5:02:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4835, loss: 0.4835 +2025-07-02 15:35:22,814 - pyskl - INFO - Epoch [55][500/1178] lr: 1.772e-02, eta: 5:01:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9912, loss_cls: 0.5147, loss: 0.5147 +2025-07-02 15:35:38,430 - pyskl - INFO - Epoch [55][600/1178] lr: 1.770e-02, eta: 5:01:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 0.4801, loss: 0.4801 +2025-07-02 15:35:54,032 - pyskl - INFO - Epoch [55][700/1178] lr: 1.768e-02, eta: 5:01:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4973, loss: 0.4973 +2025-07-02 15:36:09,638 - pyskl - INFO - Epoch [55][800/1178] lr: 1.766e-02, eta: 5:00:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5522, loss: 0.5522 +2025-07-02 15:36:25,172 - pyskl - INFO - Epoch [55][900/1178] lr: 1.764e-02, eta: 5:00:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 15:36:40,711 - pyskl - INFO - Epoch [55][1000/1178] lr: 1.762e-02, eta: 5:00:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.5352, loss: 0.5352 +2025-07-02 15:36:56,295 - pyskl - INFO - Epoch [55][1100/1178] lr: 1.760e-02, eta: 5:00:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8956, top5_acc: 0.9919, loss_cls: 0.5295, loss: 0.5295 +2025-07-02 15:37:09,041 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 15:37:32,206 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:37:32,216 - pyskl - INFO - +top1_acc 0.8576 +top5_acc 0.9911 +2025-07-02 15:37:32,217 - pyskl - INFO - Epoch(val) [55][169] top1_acc: 0.8576, top5_acc: 0.9911 +2025-07-02 15:38:08,938 - pyskl - INFO - Epoch [56][100/1178] lr: 1.756e-02, eta: 4:59:48, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 0.4998, loss: 0.4998 +2025-07-02 15:38:24,573 - pyskl - INFO - Epoch [56][200/1178] lr: 1.754e-02, eta: 4:59:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8981, top5_acc: 0.9925, loss_cls: 0.5283, loss: 0.5283 +2025-07-02 15:38:40,254 - pyskl - INFO - Epoch [56][300/1178] lr: 1.752e-02, eta: 4:59:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4704, loss: 0.4704 +2025-07-02 15:38:55,874 - pyskl - INFO - Epoch [56][400/1178] lr: 1.750e-02, eta: 4:58:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.4964, loss: 0.4964 +2025-07-02 15:39:11,510 - pyskl - INFO - Epoch [56][500/1178] lr: 1.748e-02, eta: 4:58:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 15:39:27,142 - pyskl - INFO - Epoch [56][600/1178] lr: 1.746e-02, eta: 4:58:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5159, loss: 0.5159 +2025-07-02 15:39:42,746 - pyskl - INFO - Epoch [56][700/1178] lr: 1.744e-02, eta: 4:58:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4848, loss: 0.4848 +2025-07-02 15:39:58,292 - pyskl - INFO - Epoch [56][800/1178] lr: 1.742e-02, eta: 4:57:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.5289, loss: 0.5289 +2025-07-02 15:40:13,826 - pyskl - INFO - Epoch [56][900/1178] lr: 1.740e-02, eta: 4:57:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5288, loss: 0.5288 +2025-07-02 15:40:29,390 - pyskl - INFO - Epoch [56][1000/1178] lr: 1.738e-02, eta: 4:57:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5213, loss: 0.5213 +2025-07-02 15:40:44,982 - pyskl - INFO - Epoch [56][1100/1178] lr: 1.736e-02, eta: 4:56:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5240, loss: 0.5240 +2025-07-02 15:40:57,689 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 15:41:20,617 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:41:20,634 - pyskl - INFO - +top1_acc 0.8757 +top5_acc 0.9904 +2025-07-02 15:41:20,636 - pyskl - INFO - Epoch(val) [56][169] top1_acc: 0.8757, top5_acc: 0.9904 +2025-07-02 15:41:57,516 - pyskl - INFO - Epoch [57][100/1178] lr: 1.732e-02, eta: 4:56:44, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4145, loss: 0.4145 +2025-07-02 15:42:13,008 - pyskl - INFO - Epoch [57][200/1178] lr: 1.730e-02, eta: 4:56:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5369, loss: 0.5369 +2025-07-02 15:42:28,452 - pyskl - INFO - Epoch [57][300/1178] lr: 1.728e-02, eta: 4:56:10, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 0.5209, loss: 0.5209 +2025-07-02 15:42:43,990 - pyskl - INFO - Epoch [57][400/1178] lr: 1.726e-02, eta: 4:55:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5341, loss: 0.5341 +2025-07-02 15:42:59,516 - pyskl - INFO - Epoch [57][500/1178] lr: 1.724e-02, eta: 4:55:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4582, loss: 0.4582 +2025-07-02 15:43:15,044 - pyskl - INFO - Epoch [57][600/1178] lr: 1.722e-02, eta: 4:55:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5131, loss: 0.5131 +2025-07-02 15:43:30,567 - pyskl - INFO - Epoch [57][700/1178] lr: 1.720e-02, eta: 4:55:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4770, loss: 0.4770 +2025-07-02 15:43:46,182 - pyskl - INFO - Epoch [57][800/1178] lr: 1.718e-02, eta: 4:54:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5022, loss: 0.5022 +2025-07-02 15:44:01,813 - pyskl - INFO - Epoch [57][900/1178] lr: 1.716e-02, eta: 4:54:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5512, loss: 0.5512 +2025-07-02 15:44:17,369 - pyskl - INFO - Epoch [57][1000/1178] lr: 1.714e-02, eta: 4:54:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 0.5476, loss: 0.5476 +2025-07-02 15:44:33,158 - pyskl - INFO - Epoch [57][1100/1178] lr: 1.712e-02, eta: 4:53:54, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 15:44:46,054 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 15:45:09,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:45:09,038 - pyskl - INFO - +top1_acc 0.8883 +top5_acc 0.9919 +2025-07-02 15:45:09,038 - pyskl - INFO - Epoch(val) [57][169] top1_acc: 0.8883, top5_acc: 0.9919 +2025-07-02 15:45:46,042 - pyskl - INFO - Epoch [58][100/1178] lr: 1.708e-02, eta: 4:53:39, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.4024, loss: 0.4024 +2025-07-02 15:46:01,589 - pyskl - INFO - Epoch [58][200/1178] lr: 1.706e-02, eta: 4:53:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4595, loss: 0.4595 +2025-07-02 15:46:17,095 - pyskl - INFO - Epoch [58][300/1178] lr: 1.704e-02, eta: 4:53:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.4146, loss: 0.4146 +2025-07-02 15:46:32,629 - pyskl - INFO - Epoch [58][400/1178] lr: 1.702e-02, eta: 4:52:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5333, loss: 0.5333 +2025-07-02 15:46:48,220 - pyskl - INFO - Epoch [58][500/1178] lr: 1.700e-02, eta: 4:52:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.5016, loss: 0.5016 +2025-07-02 15:47:03,902 - pyskl - INFO - Epoch [58][600/1178] lr: 1.698e-02, eta: 4:52:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4555, loss: 0.4555 +2025-07-02 15:47:19,511 - pyskl - INFO - Epoch [58][700/1178] lr: 1.696e-02, eta: 4:51:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4852, loss: 0.4852 +2025-07-02 15:47:35,081 - pyskl - INFO - Epoch [58][800/1178] lr: 1.694e-02, eta: 4:51:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4752, loss: 0.4752 +2025-07-02 15:47:50,629 - pyskl - INFO - Epoch [58][900/1178] lr: 1.692e-02, eta: 4:51:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.4877, loss: 0.4877 +2025-07-02 15:48:06,235 - pyskl - INFO - Epoch [58][1000/1178] lr: 1.689e-02, eta: 4:51:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5652, loss: 0.5652 +2025-07-02 15:48:21,890 - pyskl - INFO - Epoch [58][1100/1178] lr: 1.687e-02, eta: 4:50:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.4951, loss: 0.4951 +2025-07-02 15:48:34,519 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 15:48:57,523 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:48:57,533 - pyskl - INFO - +top1_acc 0.8839 +top5_acc 0.9904 +2025-07-02 15:48:57,533 - pyskl - INFO - Epoch(val) [58][169] top1_acc: 0.8839, top5_acc: 0.9904 +2025-07-02 15:49:34,337 - pyskl - INFO - Epoch [59][100/1178] lr: 1.684e-02, eta: 4:50:34, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4645, loss: 0.4645 +2025-07-02 15:49:49,845 - pyskl - INFO - Epoch [59][200/1178] lr: 1.682e-02, eta: 4:50:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4394, loss: 0.4394 +2025-07-02 15:50:05,407 - pyskl - INFO - Epoch [59][300/1178] lr: 1.679e-02, eta: 4:50:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4808, loss: 0.4808 +2025-07-02 15:50:20,937 - pyskl - INFO - Epoch [59][400/1178] lr: 1.677e-02, eta: 4:49:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 15:50:36,469 - pyskl - INFO - Epoch [59][500/1178] lr: 1.675e-02, eta: 4:49:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4654, loss: 0.4654 +2025-07-02 15:50:52,202 - pyskl - INFO - Epoch [59][600/1178] lr: 1.673e-02, eta: 4:49:10, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9962, loss_cls: 0.5044, loss: 0.5044 +2025-07-02 15:51:07,899 - pyskl - INFO - Epoch [59][700/1178] lr: 1.671e-02, eta: 4:48:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4342, loss: 0.4342 +2025-07-02 15:51:23,460 - pyskl - INFO - Epoch [59][800/1178] lr: 1.669e-02, eta: 4:48:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.5174, loss: 0.5174 +2025-07-02 15:51:38,920 - pyskl - INFO - Epoch [59][900/1178] lr: 1.667e-02, eta: 4:48:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5150, loss: 0.5150 +2025-07-02 15:51:54,363 - pyskl - INFO - Epoch [59][1000/1178] lr: 1.665e-02, eta: 4:48:02, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.8912, top5_acc: 0.9856, loss_cls: 0.5495, loss: 0.5495 +2025-07-02 15:52:09,822 - pyskl - INFO - Epoch [59][1100/1178] lr: 1.663e-02, eta: 4:47:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5379, loss: 0.5379 +2025-07-02 15:52:22,469 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 15:52:45,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:52:45,525 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9893 +2025-07-02 15:52:45,529 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_51.pth was removed +2025-07-02 15:52:45,635 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. +2025-07-02 15:52:45,636 - pyskl - INFO - Best top1_acc is 0.8924 at 59 epoch. +2025-07-02 15:52:45,637 - pyskl - INFO - Epoch(val) [59][169] top1_acc: 0.8924, top5_acc: 0.9893 +2025-07-02 15:53:22,705 - pyskl - INFO - Epoch [60][100/1178] lr: 1.659e-02, eta: 4:47:29, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 15:53:38,250 - pyskl - INFO - Epoch [60][200/1178] lr: 1.657e-02, eta: 4:47:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4888, loss: 0.4888 +2025-07-02 15:53:53,738 - pyskl - INFO - Epoch [60][300/1178] lr: 1.655e-02, eta: 4:46:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9956, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 15:54:09,199 - pyskl - INFO - Epoch [60][400/1178] lr: 1.653e-02, eta: 4:46:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 15:54:24,683 - pyskl - INFO - Epoch [60][500/1178] lr: 1.651e-02, eta: 4:46:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 0.4306, loss: 0.4306 +2025-07-02 15:54:40,215 - pyskl - INFO - Epoch [60][600/1178] lr: 1.648e-02, eta: 4:46:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 15:54:55,735 - pyskl - INFO - Epoch [60][700/1178] lr: 1.646e-02, eta: 4:45:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8931, top5_acc: 0.9900, loss_cls: 0.5401, loss: 0.5401 +2025-07-02 15:55:11,256 - pyskl - INFO - Epoch [60][800/1178] lr: 1.644e-02, eta: 4:45:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.4890, loss: 0.4890 +2025-07-02 15:55:26,853 - pyskl - INFO - Epoch [60][900/1178] lr: 1.642e-02, eta: 4:45:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 15:55:42,416 - pyskl - INFO - Epoch [60][1000/1178] lr: 1.640e-02, eta: 4:44:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4363, loss: 0.4363 +2025-07-02 15:55:58,130 - pyskl - INFO - Epoch [60][1100/1178] lr: 1.638e-02, eta: 4:44:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.4814, loss: 0.4814 +2025-07-02 15:56:10,881 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 15:56:34,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 15:56:34,206 - pyskl - INFO - +top1_acc 0.8606 +top5_acc 0.9885 +2025-07-02 15:56:34,206 - pyskl - INFO - Epoch(val) [60][169] top1_acc: 0.8606, top5_acc: 0.9885 +2025-07-02 15:57:11,178 - pyskl - INFO - Epoch [61][100/1178] lr: 1.634e-02, eta: 4:44:23, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4704, loss: 0.4704 +2025-07-02 15:57:26,778 - pyskl - INFO - Epoch [61][200/1178] lr: 1.632e-02, eta: 4:44:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9888, loss_cls: 0.4714, loss: 0.4714 +2025-07-02 15:57:42,243 - pyskl - INFO - Epoch [61][300/1178] lr: 1.630e-02, eta: 4:43:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.4928, loss: 0.4928 +2025-07-02 15:57:57,673 - pyskl - INFO - Epoch [61][400/1178] lr: 1.628e-02, eta: 4:43:32, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4110, loss: 0.4110 +2025-07-02 15:58:13,152 - pyskl - INFO - Epoch [61][500/1178] lr: 1.626e-02, eta: 4:43:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 0.4351, loss: 0.4351 +2025-07-02 15:58:28,673 - pyskl - INFO - Epoch [61][600/1178] lr: 1.624e-02, eta: 4:42:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.4979, loss: 0.4979 +2025-07-02 15:58:44,131 - pyskl - INFO - Epoch [61][700/1178] lr: 1.621e-02, eta: 4:42:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4812, loss: 0.4812 +2025-07-02 15:58:59,592 - pyskl - INFO - Epoch [61][800/1178] lr: 1.619e-02, eta: 4:42:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9875, loss_cls: 0.4578, loss: 0.4578 +2025-07-02 15:59:15,089 - pyskl - INFO - Epoch [61][900/1178] lr: 1.617e-02, eta: 4:42:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.5037, loss: 0.5037 +2025-07-02 15:59:30,572 - pyskl - INFO - Epoch [61][1000/1178] lr: 1.615e-02, eta: 4:41:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 0.4975, loss: 0.4975 +2025-07-02 15:59:46,159 - pyskl - INFO - Epoch [61][1100/1178] lr: 1.613e-02, eta: 4:41:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9950, loss_cls: 0.4869, loss: 0.4869 +2025-07-02 15:59:58,848 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 16:00:21,808 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:00:21,818 - pyskl - INFO - +top1_acc 0.8373 +top5_acc 0.9911 +2025-07-02 16:00:21,818 - pyskl - INFO - Epoch(val) [61][169] top1_acc: 0.8373, top5_acc: 0.9911 +2025-07-02 16:00:58,591 - pyskl - INFO - Epoch [62][100/1178] lr: 1.609e-02, eta: 4:41:17, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9906, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 16:01:14,099 - pyskl - INFO - Epoch [62][200/1178] lr: 1.607e-02, eta: 4:41:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.4350, loss: 0.4350 +2025-07-02 16:01:29,539 - pyskl - INFO - Epoch [62][300/1178] lr: 1.605e-02, eta: 4:40:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4715, loss: 0.4715 +2025-07-02 16:01:44,960 - pyskl - INFO - Epoch [62][400/1178] lr: 1.603e-02, eta: 4:40:25, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4921, loss: 0.4921 +2025-07-02 16:02:00,430 - pyskl - INFO - Epoch [62][500/1178] lr: 1.601e-02, eta: 4:40:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4952, loss: 0.4952 +2025-07-02 16:02:15,982 - pyskl - INFO - Epoch [62][600/1178] lr: 1.599e-02, eta: 4:39:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.5002, loss: 0.5002 +2025-07-02 16:02:31,556 - pyskl - INFO - Epoch [62][700/1178] lr: 1.596e-02, eta: 4:39:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4533, loss: 0.4533 +2025-07-02 16:02:47,186 - pyskl - INFO - Epoch [62][800/1178] lr: 1.594e-02, eta: 4:39:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5320, loss: 0.5320 +2025-07-02 16:03:02,739 - pyskl - INFO - Epoch [62][900/1178] lr: 1.592e-02, eta: 4:39:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 0.4762, loss: 0.4762 +2025-07-02 16:03:18,271 - pyskl - INFO - Epoch [62][1000/1178] lr: 1.590e-02, eta: 4:38:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4569, loss: 0.4569 +2025-07-02 16:03:33,863 - pyskl - INFO - Epoch [62][1100/1178] lr: 1.588e-02, eta: 4:38:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4727, loss: 0.4727 +2025-07-02 16:03:46,561 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 16:04:09,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:04:09,691 - pyskl - INFO - +top1_acc 0.2345 +top5_acc 0.7903 +2025-07-02 16:04:09,691 - pyskl - INFO - Epoch(val) [62][169] top1_acc: 0.2345, top5_acc: 0.7903 +2025-07-02 16:04:46,719 - pyskl - INFO - Epoch [63][100/1178] lr: 1.584e-02, eta: 4:38:10, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4523, loss: 0.4523 +2025-07-02 16:05:02,275 - pyskl - INFO - Epoch [63][200/1178] lr: 1.582e-02, eta: 4:37:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9888, loss_cls: 0.4625, loss: 0.4625 +2025-07-02 16:05:17,895 - pyskl - INFO - Epoch [63][300/1178] lr: 1.580e-02, eta: 4:37:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4549, loss: 0.4549 +2025-07-02 16:05:33,462 - pyskl - INFO - Epoch [63][400/1178] lr: 1.578e-02, eta: 4:37:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4585, loss: 0.4585 +2025-07-02 16:05:49,064 - pyskl - INFO - Epoch [63][500/1178] lr: 1.575e-02, eta: 4:37:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4585, loss: 0.4585 +2025-07-02 16:06:04,706 - pyskl - INFO - Epoch [63][600/1178] lr: 1.573e-02, eta: 4:36:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9869, loss_cls: 0.4677, loss: 0.4677 +2025-07-02 16:06:20,283 - pyskl - INFO - Epoch [63][700/1178] lr: 1.571e-02, eta: 4:36:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.4823, loss: 0.4823 +2025-07-02 16:06:35,913 - pyskl - INFO - Epoch [63][800/1178] lr: 1.569e-02, eta: 4:36:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4681, loss: 0.4681 +2025-07-02 16:06:51,538 - pyskl - INFO - Epoch [63][900/1178] lr: 1.567e-02, eta: 4:35:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4832, loss: 0.4832 +2025-07-02 16:07:07,094 - pyskl - INFO - Epoch [63][1000/1178] lr: 1.565e-02, eta: 4:35:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.4090, loss: 0.4090 +2025-07-02 16:07:22,751 - pyskl - INFO - Epoch [63][1100/1178] lr: 1.563e-02, eta: 4:35:22, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4466, loss: 0.4466 +2025-07-02 16:07:35,505 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 16:07:58,911 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:07:58,921 - pyskl - INFO - +top1_acc 0.8865 +top5_acc 0.9896 +2025-07-02 16:07:58,921 - pyskl - INFO - Epoch(val) [63][169] top1_acc: 0.8865, top5_acc: 0.9896 +2025-07-02 16:08:35,699 - pyskl - INFO - Epoch [64][100/1178] lr: 1.559e-02, eta: 4:35:04, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4841, loss: 0.4841 +2025-07-02 16:08:51,139 - pyskl - INFO - Epoch [64][200/1178] lr: 1.557e-02, eta: 4:34:47, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5143, loss: 0.5143 +2025-07-02 16:09:06,581 - pyskl - INFO - Epoch [64][300/1178] lr: 1.554e-02, eta: 4:34:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9900, loss_cls: 0.4121, loss: 0.4121 +2025-07-02 16:09:22,403 - pyskl - INFO - Epoch [64][400/1178] lr: 1.552e-02, eta: 4:34:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 16:09:38,237 - pyskl - INFO - Epoch [64][500/1178] lr: 1.550e-02, eta: 4:33:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4665, loss: 0.4665 +2025-07-02 16:09:53,890 - pyskl - INFO - Epoch [64][600/1178] lr: 1.548e-02, eta: 4:33:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4503, loss: 0.4503 +2025-07-02 16:10:09,742 - pyskl - INFO - Epoch [64][700/1178] lr: 1.546e-02, eta: 4:33:24, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4687, loss: 0.4687 +2025-07-02 16:10:25,279 - pyskl - INFO - Epoch [64][800/1178] lr: 1.544e-02, eta: 4:33:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 16:10:40,926 - pyskl - INFO - Epoch [64][900/1178] lr: 1.541e-02, eta: 4:32:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9894, loss_cls: 0.4371, loss: 0.4371 +2025-07-02 16:10:56,520 - pyskl - INFO - Epoch [64][1000/1178] lr: 1.539e-02, eta: 4:32:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4336, loss: 0.4336 +2025-07-02 16:11:12,175 - pyskl - INFO - Epoch [64][1100/1178] lr: 1.537e-02, eta: 4:32:17, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 0.5423, loss: 0.5423 +2025-07-02 16:11:24,975 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 16:11:47,980 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:11:47,991 - pyskl - INFO - +top1_acc 0.8613 +top5_acc 0.9937 +2025-07-02 16:11:47,991 - pyskl - INFO - Epoch(val) [64][169] top1_acc: 0.8613, top5_acc: 0.9937 +2025-07-02 16:12:25,558 - pyskl - INFO - Epoch [65][100/1178] lr: 1.533e-02, eta: 4:32:00, time: 0.376, data_time: 0.216, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4119, loss: 0.4119 +2025-07-02 16:12:41,083 - pyskl - INFO - Epoch [65][200/1178] lr: 1.531e-02, eta: 4:31:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 16:12:56,496 - pyskl - INFO - Epoch [65][300/1178] lr: 1.529e-02, eta: 4:31:26, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 16:13:11,914 - pyskl - INFO - Epoch [65][400/1178] lr: 1.527e-02, eta: 4:31:09, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5088, loss: 0.5088 +2025-07-02 16:13:27,326 - pyskl - INFO - Epoch [65][500/1178] lr: 1.525e-02, eta: 4:30:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9019, top5_acc: 0.9931, loss_cls: 0.4991, loss: 0.4991 +2025-07-02 16:13:42,759 - pyskl - INFO - Epoch [65][600/1178] lr: 1.522e-02, eta: 4:30:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4253, loss: 0.4253 +2025-07-02 16:13:58,290 - pyskl - INFO - Epoch [65][700/1178] lr: 1.520e-02, eta: 4:30:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 0.4664, loss: 0.4664 +2025-07-02 16:14:13,836 - pyskl - INFO - Epoch [65][800/1178] lr: 1.518e-02, eta: 4:30:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3935, loss: 0.3935 +2025-07-02 16:14:29,442 - pyskl - INFO - Epoch [65][900/1178] lr: 1.516e-02, eta: 4:29:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4822, loss: 0.4822 +2025-07-02 16:14:45,110 - pyskl - INFO - Epoch [65][1000/1178] lr: 1.514e-02, eta: 4:29:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 16:15:00,718 - pyskl - INFO - Epoch [65][1100/1178] lr: 1.512e-02, eta: 4:29:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4548, loss: 0.4548 +2025-07-02 16:15:13,448 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 16:15:36,744 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:15:36,754 - pyskl - INFO - +top1_acc 0.8968 +top5_acc 0.9911 +2025-07-02 16:15:36,758 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_59.pth was removed +2025-07-02 16:15:36,880 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2025-07-02 16:15:36,881 - pyskl - INFO - Best top1_acc is 0.8968 at 65 epoch. +2025-07-02 16:15:36,882 - pyskl - INFO - Epoch(val) [65][169] top1_acc: 0.8968, top5_acc: 0.9911 +2025-07-02 16:16:13,833 - pyskl - INFO - Epoch [66][100/1178] lr: 1.508e-02, eta: 4:28:53, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4611, loss: 0.4611 +2025-07-02 16:16:29,600 - pyskl - INFO - Epoch [66][200/1178] lr: 1.506e-02, eta: 4:28:36, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9900, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 16:16:45,151 - pyskl - INFO - Epoch [66][300/1178] lr: 1.503e-02, eta: 4:28:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.4156, loss: 0.4156 +2025-07-02 16:17:00,621 - pyskl - INFO - Epoch [66][400/1178] lr: 1.501e-02, eta: 4:28:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 16:17:16,097 - pyskl - INFO - Epoch [66][500/1178] lr: 1.499e-02, eta: 4:27:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3780, loss: 0.3780 +2025-07-02 16:17:31,598 - pyskl - INFO - Epoch [66][600/1178] lr: 1.497e-02, eta: 4:27:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4576, loss: 0.4576 +2025-07-02 16:17:47,121 - pyskl - INFO - Epoch [66][700/1178] lr: 1.495e-02, eta: 4:27:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9881, loss_cls: 0.4625, loss: 0.4625 +2025-07-02 16:18:02,603 - pyskl - INFO - Epoch [66][800/1178] lr: 1.492e-02, eta: 4:26:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.4819, loss: 0.4819 +2025-07-02 16:18:18,205 - pyskl - INFO - Epoch [66][900/1178] lr: 1.490e-02, eta: 4:26:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5083, loss: 0.5083 +2025-07-02 16:18:33,749 - pyskl - INFO - Epoch [66][1000/1178] lr: 1.488e-02, eta: 4:26:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4829, loss: 0.4829 +2025-07-02 16:18:49,283 - pyskl - INFO - Epoch [66][1100/1178] lr: 1.486e-02, eta: 4:26:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 0.5367, loss: 0.5367 +2025-07-02 16:19:01,934 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 16:19:25,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:19:25,265 - pyskl - INFO - +top1_acc 0.8964 +top5_acc 0.9911 +2025-07-02 16:19:25,266 - pyskl - INFO - Epoch(val) [66][169] top1_acc: 0.8964, top5_acc: 0.9911 +2025-07-02 16:20:02,185 - pyskl - INFO - Epoch [67][100/1178] lr: 1.482e-02, eta: 4:25:46, time: 0.369, data_time: 0.209, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.4090, loss: 0.4090 +2025-07-02 16:20:17,851 - pyskl - INFO - Epoch [67][200/1178] lr: 1.480e-02, eta: 4:25:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4498, loss: 0.4498 +2025-07-02 16:20:33,418 - pyskl - INFO - Epoch [67][300/1178] lr: 1.478e-02, eta: 4:25:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9894, loss_cls: 0.4436, loss: 0.4436 +2025-07-02 16:20:48,958 - pyskl - INFO - Epoch [67][400/1178] lr: 1.476e-02, eta: 4:24:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4592, loss: 0.4592 +2025-07-02 16:21:04,514 - pyskl - INFO - Epoch [67][500/1178] lr: 1.473e-02, eta: 4:24:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 16:21:20,096 - pyskl - INFO - Epoch [67][600/1178] lr: 1.471e-02, eta: 4:24:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3738, loss: 0.3738 +2025-07-02 16:21:35,686 - pyskl - INFO - Epoch [67][700/1178] lr: 1.469e-02, eta: 4:24:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4701, loss: 0.4701 +2025-07-02 16:21:51,268 - pyskl - INFO - Epoch [67][800/1178] lr: 1.467e-02, eta: 4:23:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4495, loss: 0.4495 +2025-07-02 16:22:06,849 - pyskl - INFO - Epoch [67][900/1178] lr: 1.465e-02, eta: 4:23:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 16:22:22,438 - pyskl - INFO - Epoch [67][1000/1178] lr: 1.462e-02, eta: 4:23:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4172, loss: 0.4172 +2025-07-02 16:22:38,053 - pyskl - INFO - Epoch [67][1100/1178] lr: 1.460e-02, eta: 4:22:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4740, loss: 0.4740 +2025-07-02 16:22:50,749 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 16:23:13,616 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:23:13,626 - pyskl - INFO - +top1_acc 0.8606 +top5_acc 0.9889 +2025-07-02 16:23:13,627 - pyskl - INFO - Epoch(val) [67][169] top1_acc: 0.8606, top5_acc: 0.9889 +2025-07-02 16:23:50,819 - pyskl - INFO - Epoch [68][100/1178] lr: 1.456e-02, eta: 4:22:40, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.4105, loss: 0.4105 +2025-07-02 16:24:06,478 - pyskl - INFO - Epoch [68][200/1178] lr: 1.454e-02, eta: 4:22:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3924, loss: 0.3924 +2025-07-02 16:24:22,056 - pyskl - INFO - Epoch [68][300/1178] lr: 1.452e-02, eta: 4:22:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3697, loss: 0.3697 +2025-07-02 16:24:37,633 - pyskl - INFO - Epoch [68][400/1178] lr: 1.450e-02, eta: 4:21:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4083, loss: 0.4083 +2025-07-02 16:24:53,176 - pyskl - INFO - Epoch [68][500/1178] lr: 1.448e-02, eta: 4:21:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4601, loss: 0.4601 +2025-07-02 16:25:08,662 - pyskl - INFO - Epoch [68][600/1178] lr: 1.445e-02, eta: 4:21:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9888, loss_cls: 0.4362, loss: 0.4362 +2025-07-02 16:25:24,168 - pyskl - INFO - Epoch [68][700/1178] lr: 1.443e-02, eta: 4:20:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4162, loss: 0.4162 +2025-07-02 16:25:39,713 - pyskl - INFO - Epoch [68][800/1178] lr: 1.441e-02, eta: 4:20:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4839, loss: 0.4839 +2025-07-02 16:25:55,274 - pyskl - INFO - Epoch [68][900/1178] lr: 1.439e-02, eta: 4:20:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4542, loss: 0.4542 +2025-07-02 16:26:10,923 - pyskl - INFO - Epoch [68][1000/1178] lr: 1.437e-02, eta: 4:20:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9944, loss_cls: 0.4735, loss: 0.4735 +2025-07-02 16:26:26,420 - pyskl - INFO - Epoch [68][1100/1178] lr: 1.434e-02, eta: 4:19:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4502, loss: 0.4502 +2025-07-02 16:26:39,066 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 16:27:01,986 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:27:01,996 - pyskl - INFO - +top1_acc 0.8824 +top5_acc 0.9911 +2025-07-02 16:27:01,997 - pyskl - INFO - Epoch(val) [68][169] top1_acc: 0.8824, top5_acc: 0.9911 +2025-07-02 16:27:38,646 - pyskl - INFO - Epoch [69][100/1178] lr: 1.430e-02, eta: 4:19:32, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4162, loss: 0.4162 +2025-07-02 16:27:54,071 - pyskl - INFO - Epoch [69][200/1178] lr: 1.428e-02, eta: 4:19:15, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4398, loss: 0.4398 +2025-07-02 16:28:10,037 - pyskl - INFO - Epoch [69][300/1178] lr: 1.426e-02, eta: 4:18:59, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4255, loss: 0.4255 +2025-07-02 16:28:25,661 - pyskl - INFO - Epoch [69][400/1178] lr: 1.424e-02, eta: 4:18:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4136, loss: 0.4136 +2025-07-02 16:28:41,233 - pyskl - INFO - Epoch [69][500/1178] lr: 1.422e-02, eta: 4:18:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4217, loss: 0.4217 +2025-07-02 16:28:56,734 - pyskl - INFO - Epoch [69][600/1178] lr: 1.419e-02, eta: 4:18:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4496, loss: 0.4496 +2025-07-02 16:29:12,279 - pyskl - INFO - Epoch [69][700/1178] lr: 1.417e-02, eta: 4:17:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4276, loss: 0.4276 +2025-07-02 16:29:27,874 - pyskl - INFO - Epoch [69][800/1178] lr: 1.415e-02, eta: 4:17:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 16:29:43,418 - pyskl - INFO - Epoch [69][900/1178] lr: 1.413e-02, eta: 4:17:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4077, loss: 0.4077 +2025-07-02 16:29:58,898 - pyskl - INFO - Epoch [69][1000/1178] lr: 1.411e-02, eta: 4:17:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4533, loss: 0.4533 +2025-07-02 16:30:14,372 - pyskl - INFO - Epoch [69][1100/1178] lr: 1.408e-02, eta: 4:16:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4942, loss: 0.4942 +2025-07-02 16:30:26,982 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 16:30:49,944 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:30:49,954 - pyskl - INFO - +top1_acc 0.8994 +top5_acc 0.9933 +2025-07-02 16:30:49,958 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_65.pth was removed +2025-07-02 16:30:50,072 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-07-02 16:30:50,073 - pyskl - INFO - Best top1_acc is 0.8994 at 69 epoch. +2025-07-02 16:30:50,074 - pyskl - INFO - Epoch(val) [69][169] top1_acc: 0.8994, top5_acc: 0.9933 +2025-07-02 16:31:26,886 - pyskl - INFO - Epoch [70][100/1178] lr: 1.404e-02, eta: 4:16:25, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3684, loss: 0.3684 +2025-07-02 16:31:42,392 - pyskl - INFO - Epoch [70][200/1178] lr: 1.402e-02, eta: 4:16:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 16:31:57,879 - pyskl - INFO - Epoch [70][300/1178] lr: 1.400e-02, eta: 4:15:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.4745, loss: 0.4745 +2025-07-02 16:32:13,375 - pyskl - INFO - Epoch [70][400/1178] lr: 1.398e-02, eta: 4:15:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 16:32:28,830 - pyskl - INFO - Epoch [70][500/1178] lr: 1.396e-02, eta: 4:15:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9975, loss_cls: 0.4159, loss: 0.4159 +2025-07-02 16:32:44,426 - pyskl - INFO - Epoch [70][600/1178] lr: 1.393e-02, eta: 4:15:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4238, loss: 0.4238 +2025-07-02 16:33:00,001 - pyskl - INFO - Epoch [70][700/1178] lr: 1.391e-02, eta: 4:14:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4465, loss: 0.4465 +2025-07-02 16:33:15,601 - pyskl - INFO - Epoch [70][800/1178] lr: 1.389e-02, eta: 4:14:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3780, loss: 0.3780 +2025-07-02 16:33:31,110 - pyskl - INFO - Epoch [70][900/1178] lr: 1.387e-02, eta: 4:14:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 0.4040, loss: 0.4040 +2025-07-02 16:33:46,634 - pyskl - INFO - Epoch [70][1000/1178] lr: 1.385e-02, eta: 4:13:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 16:34:02,205 - pyskl - INFO - Epoch [70][1100/1178] lr: 1.382e-02, eta: 4:13:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 0.4723, loss: 0.4723 +2025-07-02 16:34:14,869 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 16:34:38,098 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:34:38,108 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9885 +2025-07-02 16:34:38,108 - pyskl - INFO - Epoch(val) [70][169] top1_acc: 0.8768, top5_acc: 0.9885 +2025-07-02 16:35:15,082 - pyskl - INFO - Epoch [71][100/1178] lr: 1.378e-02, eta: 4:13:17, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 16:35:30,689 - pyskl - INFO - Epoch [71][200/1178] lr: 1.376e-02, eta: 4:13:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4355, loss: 0.4355 +2025-07-02 16:35:46,365 - pyskl - INFO - Epoch [71][300/1178] lr: 1.374e-02, eta: 4:12:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 0.4174, loss: 0.4174 +2025-07-02 16:36:01,978 - pyskl - INFO - Epoch [71][400/1178] lr: 1.372e-02, eta: 4:12:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.4092, loss: 0.4092 +2025-07-02 16:36:17,610 - pyskl - INFO - Epoch [71][500/1178] lr: 1.370e-02, eta: 4:12:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4574, loss: 0.4574 +2025-07-02 16:36:33,200 - pyskl - INFO - Epoch [71][600/1178] lr: 1.367e-02, eta: 4:11:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9919, loss_cls: 0.4152, loss: 0.4152 +2025-07-02 16:36:48,705 - pyskl - INFO - Epoch [71][700/1178] lr: 1.365e-02, eta: 4:11:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3837, loss: 0.3837 +2025-07-02 16:37:04,278 - pyskl - INFO - Epoch [71][800/1178] lr: 1.363e-02, eta: 4:11:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.4304, loss: 0.4304 +2025-07-02 16:37:19,865 - pyskl - INFO - Epoch [71][900/1178] lr: 1.361e-02, eta: 4:11:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4754, loss: 0.4754 +2025-07-02 16:37:35,480 - pyskl - INFO - Epoch [71][1000/1178] lr: 1.359e-02, eta: 4:10:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4386, loss: 0.4386 +2025-07-02 16:37:51,090 - pyskl - INFO - Epoch [71][1100/1178] lr: 1.356e-02, eta: 4:10:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4470, loss: 0.4470 +2025-07-02 16:38:03,798 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 16:38:26,873 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:38:26,883 - pyskl - INFO - +top1_acc 0.8846 +top5_acc 0.9926 +2025-07-02 16:38:26,883 - pyskl - INFO - Epoch(val) [71][169] top1_acc: 0.8846, top5_acc: 0.9926 +2025-07-02 16:39:03,933 - pyskl - INFO - Epoch [72][100/1178] lr: 1.352e-02, eta: 4:10:10, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3422, loss: 0.3422 +2025-07-02 16:39:19,622 - pyskl - INFO - Epoch [72][200/1178] lr: 1.350e-02, eta: 4:09:54, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3439, loss: 0.3439 +2025-07-02 16:39:35,255 - pyskl - INFO - Epoch [72][300/1178] lr: 1.348e-02, eta: 4:09:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4437, loss: 0.4437 +2025-07-02 16:39:50,849 - pyskl - INFO - Epoch [72][400/1178] lr: 1.346e-02, eta: 4:09:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 0.4289, loss: 0.4289 +2025-07-02 16:40:06,418 - pyskl - INFO - Epoch [72][500/1178] lr: 1.344e-02, eta: 4:09:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.4084, loss: 0.4084 +2025-07-02 16:40:21,972 - pyskl - INFO - Epoch [72][600/1178] lr: 1.341e-02, eta: 4:08:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 16:40:37,468 - pyskl - INFO - Epoch [72][700/1178] lr: 1.339e-02, eta: 4:08:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 0.4237, loss: 0.4237 +2025-07-02 16:40:53,035 - pyskl - INFO - Epoch [72][800/1178] lr: 1.337e-02, eta: 4:08:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4623, loss: 0.4623 +2025-07-02 16:41:08,563 - pyskl - INFO - Epoch [72][900/1178] lr: 1.335e-02, eta: 4:07:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4558, loss: 0.4558 +2025-07-02 16:41:24,157 - pyskl - INFO - Epoch [72][1000/1178] lr: 1.332e-02, eta: 4:07:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 0.4487, loss: 0.4487 +2025-07-02 16:41:39,694 - pyskl - INFO - Epoch [72][1100/1178] lr: 1.330e-02, eta: 4:07:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4257, loss: 0.4257 +2025-07-02 16:41:52,412 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 16:42:15,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:42:15,443 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9915 +2025-07-02 16:42:15,443 - pyskl - INFO - Epoch(val) [72][169] top1_acc: 0.8983, top5_acc: 0.9915 +2025-07-02 16:42:52,056 - pyskl - INFO - Epoch [73][100/1178] lr: 1.326e-02, eta: 4:07:02, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3594, loss: 0.3594 +2025-07-02 16:43:07,584 - pyskl - INFO - Epoch [73][200/1178] lr: 1.324e-02, eta: 4:06:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4297, loss: 0.4297 +2025-07-02 16:43:23,274 - pyskl - INFO - Epoch [73][300/1178] lr: 1.322e-02, eta: 4:06:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.3956, loss: 0.3956 +2025-07-02 16:43:38,800 - pyskl - INFO - Epoch [73][400/1178] lr: 1.320e-02, eta: 4:06:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.4232, loss: 0.4232 +2025-07-02 16:43:54,292 - pyskl - INFO - Epoch [73][500/1178] lr: 1.317e-02, eta: 4:05:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3909, loss: 0.3909 +2025-07-02 16:44:09,826 - pyskl - INFO - Epoch [73][600/1178] lr: 1.315e-02, eta: 4:05:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 16:44:25,367 - pyskl - INFO - Epoch [73][700/1178] lr: 1.313e-02, eta: 4:05:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3763, loss: 0.3763 +2025-07-02 16:44:41,018 - pyskl - INFO - Epoch [73][800/1178] lr: 1.311e-02, eta: 4:05:05, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9900, loss_cls: 0.3705, loss: 0.3705 +2025-07-02 16:44:56,798 - pyskl - INFO - Epoch [73][900/1178] lr: 1.309e-02, eta: 4:04:48, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3952, loss: 0.3952 +2025-07-02 16:45:12,505 - pyskl - INFO - Epoch [73][1000/1178] lr: 1.306e-02, eta: 4:04:32, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9081, top5_acc: 0.9956, loss_cls: 0.4736, loss: 0.4736 +2025-07-02 16:45:28,033 - pyskl - INFO - Epoch [73][1100/1178] lr: 1.304e-02, eta: 4:04:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 0.4192, loss: 0.4192 +2025-07-02 16:45:40,724 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 16:46:03,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:46:03,688 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9937 +2025-07-02 16:46:03,692 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_69.pth was removed +2025-07-02 16:46:03,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. +2025-07-02 16:46:03,803 - pyskl - INFO - Best top1_acc is 0.9013 at 73 epoch. +2025-07-02 16:46:03,803 - pyskl - INFO - Epoch(val) [73][169] top1_acc: 0.9013, top5_acc: 0.9937 +2025-07-02 16:46:40,367 - pyskl - INFO - Epoch [74][100/1178] lr: 1.300e-02, eta: 4:03:54, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3570, loss: 0.3570 +2025-07-02 16:46:55,883 - pyskl - INFO - Epoch [74][200/1178] lr: 1.298e-02, eta: 4:03:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3730, loss: 0.3730 +2025-07-02 16:47:11,656 - pyskl - INFO - Epoch [74][300/1178] lr: 1.296e-02, eta: 4:03:21, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3944, loss: 0.3944 +2025-07-02 16:47:27,324 - pyskl - INFO - Epoch [74][400/1178] lr: 1.293e-02, eta: 4:03:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 16:47:42,912 - pyskl - INFO - Epoch [74][500/1178] lr: 1.291e-02, eta: 4:02:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4348, loss: 0.4348 +2025-07-02 16:47:58,509 - pyskl - INFO - Epoch [74][600/1178] lr: 1.289e-02, eta: 4:02:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3596, loss: 0.3596 +2025-07-02 16:48:14,005 - pyskl - INFO - Epoch [74][700/1178] lr: 1.287e-02, eta: 4:02:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.4026, loss: 0.4026 +2025-07-02 16:48:29,522 - pyskl - INFO - Epoch [74][800/1178] lr: 1.285e-02, eta: 4:01:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9206, top5_acc: 0.9875, loss_cls: 0.4641, loss: 0.4641 +2025-07-02 16:48:45,101 - pyskl - INFO - Epoch [74][900/1178] lr: 1.282e-02, eta: 4:01:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 16:49:00,661 - pyskl - INFO - Epoch [74][1000/1178] lr: 1.280e-02, eta: 4:01:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4112, loss: 0.4112 +2025-07-02 16:49:16,201 - pyskl - INFO - Epoch [74][1100/1178] lr: 1.278e-02, eta: 4:01:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 16:49:28,841 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 16:49:51,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:49:51,896 - pyskl - INFO - +top1_acc 0.8768 +top5_acc 0.9863 +2025-07-02 16:49:51,896 - pyskl - INFO - Epoch(val) [74][169] top1_acc: 0.8768, top5_acc: 0.9863 +2025-07-02 16:50:28,634 - pyskl - INFO - Epoch [75][100/1178] lr: 1.274e-02, eta: 4:00:47, time: 0.367, data_time: 0.210, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.3119, loss: 0.3119 +2025-07-02 16:50:44,334 - pyskl - INFO - Epoch [75][200/1178] lr: 1.272e-02, eta: 4:00:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3935, loss: 0.3935 +2025-07-02 16:50:59,926 - pyskl - INFO - Epoch [75][300/1178] lr: 1.270e-02, eta: 4:00:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4357, loss: 0.4357 +2025-07-02 16:51:15,362 - pyskl - INFO - Epoch [75][400/1178] lr: 1.267e-02, eta: 3:59:56, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.4183, loss: 0.4183 +2025-07-02 16:51:30,809 - pyskl - INFO - Epoch [75][500/1178] lr: 1.265e-02, eta: 3:59:39, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.4015, loss: 0.4015 +2025-07-02 16:51:46,362 - pyskl - INFO - Epoch [75][600/1178] lr: 1.263e-02, eta: 3:59:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3613, loss: 0.3613 +2025-07-02 16:52:01,923 - pyskl - INFO - Epoch [75][700/1178] lr: 1.261e-02, eta: 3:59:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4349, loss: 0.4349 +2025-07-02 16:52:17,476 - pyskl - INFO - Epoch [75][800/1178] lr: 1.258e-02, eta: 3:58:49, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3611, loss: 0.3611 +2025-07-02 16:52:32,963 - pyskl - INFO - Epoch [75][900/1178] lr: 1.256e-02, eta: 3:58:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 16:52:48,504 - pyskl - INFO - Epoch [75][1000/1178] lr: 1.254e-02, eta: 3:58:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4509, loss: 0.4509 +2025-07-02 16:53:04,027 - pyskl - INFO - Epoch [75][1100/1178] lr: 1.252e-02, eta: 3:57:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.4032, loss: 0.4032 +2025-07-02 16:53:16,609 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 16:53:39,314 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:53:39,324 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9941 +2025-07-02 16:53:39,325 - pyskl - INFO - Epoch(val) [75][169] top1_acc: 0.8990, top5_acc: 0.9941 +2025-07-02 16:54:16,691 - pyskl - INFO - Epoch [76][100/1178] lr: 1.248e-02, eta: 3:57:39, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3424, loss: 0.3424 +2025-07-02 16:54:32,256 - pyskl - INFO - Epoch [76][200/1178] lr: 1.246e-02, eta: 3:57:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9931, loss_cls: 0.3469, loss: 0.3469 +2025-07-02 16:54:47,681 - pyskl - INFO - Epoch [76][300/1178] lr: 1.243e-02, eta: 3:57:05, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.4388, loss: 0.4388 +2025-07-02 16:55:03,166 - pyskl - INFO - Epoch [76][400/1178] lr: 1.241e-02, eta: 3:56:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.4116, loss: 0.4116 +2025-07-02 16:55:18,742 - pyskl - INFO - Epoch [76][500/1178] lr: 1.239e-02, eta: 3:56:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3967, loss: 0.3967 +2025-07-02 16:55:34,361 - pyskl - INFO - Epoch [76][600/1178] lr: 1.237e-02, eta: 3:56:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4165, loss: 0.4165 +2025-07-02 16:55:49,969 - pyskl - INFO - Epoch [76][700/1178] lr: 1.234e-02, eta: 3:55:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 16:56:05,586 - pyskl - INFO - Epoch [76][800/1178] lr: 1.232e-02, eta: 3:55:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 0.3998, loss: 0.3998 +2025-07-02 16:56:21,240 - pyskl - INFO - Epoch [76][900/1178] lr: 1.230e-02, eta: 3:55:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3757, loss: 0.3757 +2025-07-02 16:56:36,757 - pyskl - INFO - Epoch [76][1000/1178] lr: 1.228e-02, eta: 3:55:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3706, loss: 0.3706 +2025-07-02 16:56:52,333 - pyskl - INFO - Epoch [76][1100/1178] lr: 1.226e-02, eta: 3:54:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.3842, loss: 0.3842 +2025-07-02 16:57:05,194 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 16:57:28,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 16:57:28,162 - pyskl - INFO - +top1_acc 0.8894 +top5_acc 0.9904 +2025-07-02 16:57:28,163 - pyskl - INFO - Epoch(val) [76][169] top1_acc: 0.8894, top5_acc: 0.9904 +2025-07-02 16:58:04,945 - pyskl - INFO - Epoch [77][100/1178] lr: 1.222e-02, eta: 3:54:30, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3282, loss: 0.3282 +2025-07-02 16:58:20,719 - pyskl - INFO - Epoch [77][200/1178] lr: 1.219e-02, eta: 3:54:14, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3438, loss: 0.3438 +2025-07-02 16:58:36,112 - pyskl - INFO - Epoch [77][300/1178] lr: 1.217e-02, eta: 3:53:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.3885, loss: 0.3885 +2025-07-02 16:58:51,844 - pyskl - INFO - Epoch [77][400/1178] lr: 1.215e-02, eta: 3:53:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9931, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 16:59:07,411 - pyskl - INFO - Epoch [77][500/1178] lr: 1.213e-02, eta: 3:53:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.4366, loss: 0.4366 +2025-07-02 16:59:22,925 - pyskl - INFO - Epoch [77][600/1178] lr: 1.211e-02, eta: 3:53:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.3996, loss: 0.3996 +2025-07-02 16:59:38,384 - pyskl - INFO - Epoch [77][700/1178] lr: 1.208e-02, eta: 3:52:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3590, loss: 0.3590 +2025-07-02 16:59:53,867 - pyskl - INFO - Epoch [77][800/1178] lr: 1.206e-02, eta: 3:52:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3980, loss: 0.3980 +2025-07-02 17:00:09,425 - pyskl - INFO - Epoch [77][900/1178] lr: 1.204e-02, eta: 3:52:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 17:00:24,931 - pyskl - INFO - Epoch [77][1000/1178] lr: 1.202e-02, eta: 3:52:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.4139, loss: 0.4139 +2025-07-02 17:00:40,624 - pyskl - INFO - Epoch [77][1100/1178] lr: 1.199e-02, eta: 3:51:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 17:00:53,328 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 17:01:16,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:01:16,335 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9896 +2025-07-02 17:01:16,339 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_73.pth was removed +2025-07-02 17:01:16,453 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-02 17:01:16,454 - pyskl - INFO - Best top1_acc is 0.9090 at 77 epoch. +2025-07-02 17:01:16,454 - pyskl - INFO - Epoch(val) [77][169] top1_acc: 0.9090, top5_acc: 0.9896 +2025-07-02 17:01:53,089 - pyskl - INFO - Epoch [78][100/1178] lr: 1.195e-02, eta: 3:51:22, time: 0.366, data_time: 0.207, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9906, loss_cls: 0.3499, loss: 0.3499 +2025-07-02 17:02:08,673 - pyskl - INFO - Epoch [78][200/1178] lr: 1.193e-02, eta: 3:51:05, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.4003, loss: 0.4003 +2025-07-02 17:02:24,215 - pyskl - INFO - Epoch [78][300/1178] lr: 1.191e-02, eta: 3:50:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 17:02:39,825 - pyskl - INFO - Epoch [78][400/1178] lr: 1.189e-02, eta: 3:50:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3657, loss: 0.3657 +2025-07-02 17:02:55,413 - pyskl - INFO - Epoch [78][500/1178] lr: 1.187e-02, eta: 3:50:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 17:03:10,994 - pyskl - INFO - Epoch [78][600/1178] lr: 1.184e-02, eta: 3:49:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 17:03:26,582 - pyskl - INFO - Epoch [78][700/1178] lr: 1.182e-02, eta: 3:49:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3353, loss: 0.3353 +2025-07-02 17:03:42,130 - pyskl - INFO - Epoch [78][800/1178] lr: 1.180e-02, eta: 3:49:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.4143, loss: 0.4143 +2025-07-02 17:03:57,626 - pyskl - INFO - Epoch [78][900/1178] lr: 1.178e-02, eta: 3:49:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3552, loss: 0.3552 +2025-07-02 17:04:13,065 - pyskl - INFO - Epoch [78][1000/1178] lr: 1.175e-02, eta: 3:48:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9263, top5_acc: 0.9894, loss_cls: 0.3994, loss: 0.3994 +2025-07-02 17:04:28,530 - pyskl - INFO - Epoch [78][1100/1178] lr: 1.173e-02, eta: 3:48:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3887, loss: 0.3887 +2025-07-02 17:04:41,277 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 17:05:04,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:05:04,216 - pyskl - INFO - +top1_acc 0.8939 +top5_acc 0.9911 +2025-07-02 17:05:04,217 - pyskl - INFO - Epoch(val) [78][169] top1_acc: 0.8939, top5_acc: 0.9911 +2025-07-02 17:05:41,927 - pyskl - INFO - Epoch [79][100/1178] lr: 1.169e-02, eta: 3:48:14, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 0.3223, loss: 0.3223 +2025-07-02 17:05:57,719 - pyskl - INFO - Epoch [79][200/1178] lr: 1.167e-02, eta: 3:47:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3443, loss: 0.3443 +2025-07-02 17:06:13,361 - pyskl - INFO - Epoch [79][300/1178] lr: 1.165e-02, eta: 3:47:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3546, loss: 0.3546 +2025-07-02 17:06:28,903 - pyskl - INFO - Epoch [79][400/1178] lr: 1.163e-02, eta: 3:47:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3492, loss: 0.3492 +2025-07-02 17:06:44,391 - pyskl - INFO - Epoch [79][500/1178] lr: 1.160e-02, eta: 3:47:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.3640, loss: 0.3640 +2025-07-02 17:06:59,934 - pyskl - INFO - Epoch [79][600/1178] lr: 1.158e-02, eta: 3:46:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3939, loss: 0.3939 +2025-07-02 17:07:15,458 - pyskl - INFO - Epoch [79][700/1178] lr: 1.156e-02, eta: 3:46:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3534, loss: 0.3534 +2025-07-02 17:07:31,039 - pyskl - INFO - Epoch [79][800/1178] lr: 1.154e-02, eta: 3:46:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3745, loss: 0.3745 +2025-07-02 17:07:46,587 - pyskl - INFO - Epoch [79][900/1178] lr: 1.152e-02, eta: 3:46:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3806, loss: 0.3806 +2025-07-02 17:08:02,087 - pyskl - INFO - Epoch [79][1000/1178] lr: 1.149e-02, eta: 3:45:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4407, loss: 0.4407 +2025-07-02 17:08:17,611 - pyskl - INFO - Epoch [79][1100/1178] lr: 1.147e-02, eta: 3:45:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4025, loss: 0.4025 +2025-07-02 17:08:30,273 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 17:08:53,168 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:08:53,178 - pyskl - INFO - +top1_acc 0.8920 +top5_acc 0.9852 +2025-07-02 17:08:53,178 - pyskl - INFO - Epoch(val) [79][169] top1_acc: 0.8920, top5_acc: 0.9852 +2025-07-02 17:09:29,791 - pyskl - INFO - Epoch [80][100/1178] lr: 1.143e-02, eta: 3:45:05, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3187, loss: 0.3187 +2025-07-02 17:09:45,327 - pyskl - INFO - Epoch [80][200/1178] lr: 1.141e-02, eta: 3:44:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3093, loss: 0.3093 +2025-07-02 17:10:00,850 - pyskl - INFO - Epoch [80][300/1178] lr: 1.139e-02, eta: 3:44:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9912, loss_cls: 0.3708, loss: 0.3708 +2025-07-02 17:10:16,499 - pyskl - INFO - Epoch [80][400/1178] lr: 1.137e-02, eta: 3:44:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3762, loss: 0.3762 +2025-07-02 17:10:32,146 - pyskl - INFO - Epoch [80][500/1178] lr: 1.134e-02, eta: 3:43:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3892, loss: 0.3892 +2025-07-02 17:10:47,795 - pyskl - INFO - Epoch [80][600/1178] lr: 1.132e-02, eta: 3:43:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3760, loss: 0.3760 +2025-07-02 17:11:03,429 - pyskl - INFO - Epoch [80][700/1178] lr: 1.130e-02, eta: 3:43:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4068, loss: 0.4068 +2025-07-02 17:11:19,094 - pyskl - INFO - Epoch [80][800/1178] lr: 1.128e-02, eta: 3:43:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3742, loss: 0.3742 +2025-07-02 17:11:34,580 - pyskl - INFO - Epoch [80][900/1178] lr: 1.126e-02, eta: 3:42:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3688, loss: 0.3688 +2025-07-02 17:11:50,050 - pyskl - INFO - Epoch [80][1000/1178] lr: 1.123e-02, eta: 3:42:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3962, loss: 0.3962 +2025-07-02 17:12:05,551 - pyskl - INFO - Epoch [80][1100/1178] lr: 1.121e-02, eta: 3:42:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 0.3766, loss: 0.3766 +2025-07-02 17:12:18,210 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 17:12:41,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:12:41,412 - pyskl - INFO - +top1_acc 0.9042 +top5_acc 0.9933 +2025-07-02 17:12:41,413 - pyskl - INFO - Epoch(val) [80][169] top1_acc: 0.9042, top5_acc: 0.9933 +2025-07-02 17:13:18,572 - pyskl - INFO - Epoch [81][100/1178] lr: 1.117e-02, eta: 3:41:57, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.3734, loss: 0.3734 +2025-07-02 17:13:34,234 - pyskl - INFO - Epoch [81][200/1178] lr: 1.115e-02, eta: 3:41:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3988, loss: 0.3988 +2025-07-02 17:13:49,960 - pyskl - INFO - Epoch [81][300/1178] lr: 1.113e-02, eta: 3:41:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3292, loss: 0.3292 +2025-07-02 17:14:05,523 - pyskl - INFO - Epoch [81][400/1178] lr: 1.111e-02, eta: 3:41:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3490, loss: 0.3490 +2025-07-02 17:14:21,123 - pyskl - INFO - Epoch [81][500/1178] lr: 1.108e-02, eta: 3:40:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3705, loss: 0.3705 +2025-07-02 17:14:36,644 - pyskl - INFO - Epoch [81][600/1178] lr: 1.106e-02, eta: 3:40:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 17:14:52,097 - pyskl - INFO - Epoch [81][700/1178] lr: 1.104e-02, eta: 3:40:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 17:15:07,598 - pyskl - INFO - Epoch [81][800/1178] lr: 1.102e-02, eta: 3:40:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 17:15:23,075 - pyskl - INFO - Epoch [81][900/1178] lr: 1.099e-02, eta: 3:39:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3559, loss: 0.3559 +2025-07-02 17:15:38,557 - pyskl - INFO - Epoch [81][1000/1178] lr: 1.097e-02, eta: 3:39:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3438, loss: 0.3438 +2025-07-02 17:15:54,033 - pyskl - INFO - Epoch [81][1100/1178] lr: 1.095e-02, eta: 3:39:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4119, loss: 0.4119 +2025-07-02 17:16:06,661 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 17:16:29,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:16:29,509 - pyskl - INFO - +top1_acc 0.8994 +top5_acc 0.9908 +2025-07-02 17:16:29,509 - pyskl - INFO - Epoch(val) [81][169] top1_acc: 0.8994, top5_acc: 0.9908 +2025-07-02 17:17:06,738 - pyskl - INFO - Epoch [82][100/1178] lr: 1.091e-02, eta: 3:38:48, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.3441, loss: 0.3441 +2025-07-02 17:17:22,248 - pyskl - INFO - Epoch [82][200/1178] lr: 1.089e-02, eta: 3:38:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3525, loss: 0.3525 +2025-07-02 17:17:37,873 - pyskl - INFO - Epoch [82][300/1178] lr: 1.087e-02, eta: 3:38:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3038, loss: 0.3038 +2025-07-02 17:17:53,663 - pyskl - INFO - Epoch [82][400/1178] lr: 1.085e-02, eta: 3:37:58, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 17:18:09,417 - pyskl - INFO - Epoch [82][500/1178] lr: 1.082e-02, eta: 3:37:42, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3529, loss: 0.3529 +2025-07-02 17:18:24,987 - pyskl - INFO - Epoch [82][600/1178] lr: 1.080e-02, eta: 3:37:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3664, loss: 0.3664 +2025-07-02 17:18:40,568 - pyskl - INFO - Epoch [82][700/1178] lr: 1.078e-02, eta: 3:37:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3969, loss: 0.3969 +2025-07-02 17:18:56,169 - pyskl - INFO - Epoch [82][800/1178] lr: 1.076e-02, eta: 3:36:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3402, loss: 0.3402 +2025-07-02 17:19:11,780 - pyskl - INFO - Epoch [82][900/1178] lr: 1.074e-02, eta: 3:36:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 0.3537, loss: 0.3537 +2025-07-02 17:19:27,270 - pyskl - INFO - Epoch [82][1000/1178] lr: 1.071e-02, eta: 3:36:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.4045, loss: 0.4045 +2025-07-02 17:19:42,763 - pyskl - INFO - Epoch [82][1100/1178] lr: 1.069e-02, eta: 3:36:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3564, loss: 0.3564 +2025-07-02 17:19:55,398 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 17:20:18,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:20:18,596 - pyskl - INFO - +top1_acc 0.8724 +top5_acc 0.9867 +2025-07-02 17:20:18,597 - pyskl - INFO - Epoch(val) [82][169] top1_acc: 0.8724, top5_acc: 0.9867 +2025-07-02 17:20:55,880 - pyskl - INFO - Epoch [83][100/1178] lr: 1.065e-02, eta: 3:35:40, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.3002, loss: 0.3002 +2025-07-02 17:21:11,458 - pyskl - INFO - Epoch [83][200/1178] lr: 1.063e-02, eta: 3:35:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 0.3321, loss: 0.3321 +2025-07-02 17:21:27,051 - pyskl - INFO - Epoch [83][300/1178] lr: 1.061e-02, eta: 3:35:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3980, loss: 0.3980 +2025-07-02 17:21:42,644 - pyskl - INFO - Epoch [83][400/1178] lr: 1.059e-02, eta: 3:34:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3426, loss: 0.3426 +2025-07-02 17:21:58,375 - pyskl - INFO - Epoch [83][500/1178] lr: 1.056e-02, eta: 3:34:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3763, loss: 0.3763 +2025-07-02 17:22:14,201 - pyskl - INFO - Epoch [83][600/1178] lr: 1.054e-02, eta: 3:34:17, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3381, loss: 0.3381 +2025-07-02 17:22:29,929 - pyskl - INFO - Epoch [83][700/1178] lr: 1.052e-02, eta: 3:34:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3349, loss: 0.3349 +2025-07-02 17:22:45,670 - pyskl - INFO - Epoch [83][800/1178] lr: 1.050e-02, eta: 3:33:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3543, loss: 0.3543 +2025-07-02 17:23:01,270 - pyskl - INFO - Epoch [83][900/1178] lr: 1.048e-02, eta: 3:33:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.3397, loss: 0.3397 +2025-07-02 17:23:16,815 - pyskl - INFO - Epoch [83][1000/1178] lr: 1.045e-02, eta: 3:33:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3235, loss: 0.3235 +2025-07-02 17:23:32,388 - pyskl - INFO - Epoch [83][1100/1178] lr: 1.043e-02, eta: 3:32:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3110, loss: 0.3110 +2025-07-02 17:23:45,069 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 17:24:08,248 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:24:08,258 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9871 +2025-07-02 17:24:08,259 - pyskl - INFO - Epoch(val) [83][169] top1_acc: 0.8990, top5_acc: 0.9871 +2025-07-02 17:24:45,437 - pyskl - INFO - Epoch [84][100/1178] lr: 1.039e-02, eta: 3:32:32, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3247, loss: 0.3247 +2025-07-02 17:25:00,908 - pyskl - INFO - Epoch [84][200/1178] lr: 1.037e-02, eta: 3:32:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 0.3051, loss: 0.3051 +2025-07-02 17:25:16,389 - pyskl - INFO - Epoch [84][300/1178] lr: 1.035e-02, eta: 3:31:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.3058, loss: 0.3058 +2025-07-02 17:25:31,827 - pyskl - INFO - Epoch [84][400/1178] lr: 1.033e-02, eta: 3:31:42, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3323, loss: 0.3323 +2025-07-02 17:25:47,588 - pyskl - INFO - Epoch [84][500/1178] lr: 1.031e-02, eta: 3:31:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3652, loss: 0.3652 +2025-07-02 17:26:03,321 - pyskl - INFO - Epoch [84][600/1178] lr: 1.028e-02, eta: 3:31:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.3307, loss: 0.3307 +2025-07-02 17:26:18,925 - pyskl - INFO - Epoch [84][700/1178] lr: 1.026e-02, eta: 3:30:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 0.3340, loss: 0.3340 +2025-07-02 17:26:34,483 - pyskl - INFO - Epoch [84][800/1178] lr: 1.024e-02, eta: 3:30:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9912, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 17:26:50,115 - pyskl - INFO - Epoch [84][900/1178] lr: 1.022e-02, eta: 3:30:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3770, loss: 0.3770 +2025-07-02 17:27:05,662 - pyskl - INFO - Epoch [84][1000/1178] lr: 1.020e-02, eta: 3:30:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 0.3728, loss: 0.3728 +2025-07-02 17:27:21,287 - pyskl - INFO - Epoch [84][1100/1178] lr: 1.017e-02, eta: 3:29:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3604, loss: 0.3604 +2025-07-02 17:27:33,956 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 17:27:57,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:27:57,156 - pyskl - INFO - +top1_acc 0.8994 +top5_acc 0.9904 +2025-07-02 17:27:57,157 - pyskl - INFO - Epoch(val) [84][169] top1_acc: 0.8994, top5_acc: 0.9904 +2025-07-02 17:28:34,690 - pyskl - INFO - Epoch [85][100/1178] lr: 1.014e-02, eta: 3:29:24, time: 0.375, data_time: 0.214, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3656, loss: 0.3656 +2025-07-02 17:28:50,259 - pyskl - INFO - Epoch [85][200/1178] lr: 1.011e-02, eta: 3:29:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9925, loss_cls: 0.3313, loss: 0.3313 +2025-07-02 17:29:05,933 - pyskl - INFO - Epoch [85][300/1178] lr: 1.009e-02, eta: 3:28:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3199, loss: 0.3199 +2025-07-02 17:29:21,510 - pyskl - INFO - Epoch [85][400/1178] lr: 1.007e-02, eta: 3:28:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.3005, loss: 0.3005 +2025-07-02 17:29:37,077 - pyskl - INFO - Epoch [85][500/1178] lr: 1.005e-02, eta: 3:28:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2806, loss: 0.2806 +2025-07-02 17:29:52,799 - pyskl - INFO - Epoch [85][600/1178] lr: 1.003e-02, eta: 3:28:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.3231, loss: 0.3231 +2025-07-02 17:30:08,462 - pyskl - INFO - Epoch [85][700/1178] lr: 1.001e-02, eta: 3:27:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3788, loss: 0.3788 +2025-07-02 17:30:24,182 - pyskl - INFO - Epoch [85][800/1178] lr: 9.984e-03, eta: 3:27:28, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9475, top5_acc: 0.9938, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 17:30:39,815 - pyskl - INFO - Epoch [85][900/1178] lr: 9.962e-03, eta: 3:27:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3201, loss: 0.3201 +2025-07-02 17:30:55,375 - pyskl - INFO - Epoch [85][1000/1178] lr: 9.940e-03, eta: 3:26:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3691, loss: 0.3691 +2025-07-02 17:31:10,884 - pyskl - INFO - Epoch [85][1100/1178] lr: 9.918e-03, eta: 3:26:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3795, loss: 0.3795 +2025-07-02 17:31:23,525 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 17:31:46,658 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:31:46,669 - pyskl - INFO - +top1_acc 0.8872 +top5_acc 0.9786 +2025-07-02 17:31:46,669 - pyskl - INFO - Epoch(val) [85][169] top1_acc: 0.8872, top5_acc: 0.9786 +2025-07-02 17:32:23,379 - pyskl - INFO - Epoch [86][100/1178] lr: 9.880e-03, eta: 3:26:15, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 17:32:38,835 - pyskl - INFO - Epoch [86][200/1178] lr: 9.858e-03, eta: 3:25:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.3053, loss: 0.3053 +2025-07-02 17:32:54,320 - pyskl - INFO - Epoch [86][300/1178] lr: 9.836e-03, eta: 3:25:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3340, loss: 0.3340 +2025-07-02 17:33:10,044 - pyskl - INFO - Epoch [86][400/1178] lr: 9.814e-03, eta: 3:25:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3412, loss: 0.3412 +2025-07-02 17:33:25,651 - pyskl - INFO - Epoch [86][500/1178] lr: 9.793e-03, eta: 3:25:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3239, loss: 0.3239 +2025-07-02 17:33:41,135 - pyskl - INFO - Epoch [86][600/1178] lr: 9.771e-03, eta: 3:24:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.3075, loss: 0.3075 +2025-07-02 17:33:56,626 - pyskl - INFO - Epoch [86][700/1178] lr: 9.749e-03, eta: 3:24:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2870, loss: 0.2870 +2025-07-02 17:34:12,266 - pyskl - INFO - Epoch [86][800/1178] lr: 9.728e-03, eta: 3:24:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3713, loss: 0.3713 +2025-07-02 17:34:27,946 - pyskl - INFO - Epoch [86][900/1178] lr: 9.706e-03, eta: 3:24:02, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2556, loss: 0.2556 +2025-07-02 17:34:43,684 - pyskl - INFO - Epoch [86][1000/1178] lr: 9.684e-03, eta: 3:23:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2963, loss: 0.2963 +2025-07-02 17:34:59,409 - pyskl - INFO - Epoch [86][1100/1178] lr: 9.663e-03, eta: 3:23:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2975, loss: 0.2975 +2025-07-02 17:35:12,068 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 17:35:35,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:35:35,098 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9919 +2025-07-02 17:35:35,098 - pyskl - INFO - Epoch(val) [86][169] top1_acc: 0.9016, top5_acc: 0.9919 +2025-07-02 17:36:12,445 - pyskl - INFO - Epoch [87][100/1178] lr: 9.624e-03, eta: 3:23:06, time: 0.373, data_time: 0.213, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3311, loss: 0.3311 +2025-07-02 17:36:27,893 - pyskl - INFO - Epoch [87][200/1178] lr: 9.603e-03, eta: 3:22:49, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.3519, loss: 0.3519 +2025-07-02 17:36:43,314 - pyskl - INFO - Epoch [87][300/1178] lr: 9.581e-03, eta: 3:22:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3218, loss: 0.3218 +2025-07-02 17:36:58,810 - pyskl - INFO - Epoch [87][400/1178] lr: 9.559e-03, eta: 3:22:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3677, loss: 0.3677 +2025-07-02 17:37:14,325 - pyskl - INFO - Epoch [87][500/1178] lr: 9.538e-03, eta: 3:21:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3555, loss: 0.3555 +2025-07-02 17:37:29,852 - pyskl - INFO - Epoch [87][600/1178] lr: 9.516e-03, eta: 3:21:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3790, loss: 0.3790 +2025-07-02 17:37:45,412 - pyskl - INFO - Epoch [87][700/1178] lr: 9.495e-03, eta: 3:21:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3080, loss: 0.3080 +2025-07-02 17:38:00,948 - pyskl - INFO - Epoch [87][800/1178] lr: 9.473e-03, eta: 3:21:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3331, loss: 0.3331 +2025-07-02 17:38:16,666 - pyskl - INFO - Epoch [87][900/1178] lr: 9.451e-03, eta: 3:20:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3743, loss: 0.3743 +2025-07-02 17:38:32,248 - pyskl - INFO - Epoch [87][1000/1178] lr: 9.430e-03, eta: 3:20:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3518, loss: 0.3518 +2025-07-02 17:38:47,853 - pyskl - INFO - Epoch [87][1100/1178] lr: 9.408e-03, eta: 3:20:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 17:39:00,599 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 17:39:23,776 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:39:23,786 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9904 +2025-07-02 17:39:23,787 - pyskl - INFO - Epoch(val) [87][169] top1_acc: 0.8905, top5_acc: 0.9904 +2025-07-02 17:40:00,914 - pyskl - INFO - Epoch [88][100/1178] lr: 9.370e-03, eta: 3:19:57, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2886, loss: 0.2886 +2025-07-02 17:40:16,365 - pyskl - INFO - Epoch [88][200/1178] lr: 9.349e-03, eta: 3:19:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3407, loss: 0.3407 +2025-07-02 17:40:31,864 - pyskl - INFO - Epoch [88][300/1178] lr: 9.327e-03, eta: 3:19:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 17:40:47,360 - pyskl - INFO - Epoch [88][400/1178] lr: 9.306e-03, eta: 3:19:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2992, loss: 0.2992 +2025-07-02 17:41:02,853 - pyskl - INFO - Epoch [88][500/1178] lr: 9.284e-03, eta: 3:18:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3181, loss: 0.3181 +2025-07-02 17:41:18,362 - pyskl - INFO - Epoch [88][600/1178] lr: 9.263e-03, eta: 3:18:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3482, loss: 0.3482 +2025-07-02 17:41:33,885 - pyskl - INFO - Epoch [88][700/1178] lr: 9.241e-03, eta: 3:18:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.3061, loss: 0.3061 +2025-07-02 17:41:49,490 - pyskl - INFO - Epoch [88][800/1178] lr: 9.220e-03, eta: 3:18:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3297, loss: 0.3297 +2025-07-02 17:42:05,178 - pyskl - INFO - Epoch [88][900/1178] lr: 9.198e-03, eta: 3:17:44, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 17:42:20,799 - pyskl - INFO - Epoch [88][1000/1178] lr: 9.177e-03, eta: 3:17:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 17:42:36,407 - pyskl - INFO - Epoch [88][1100/1178] lr: 9.155e-03, eta: 3:17:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2995, loss: 0.2995 +2025-07-02 17:42:49,098 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 17:43:11,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:43:11,928 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9933 +2025-07-02 17:43:11,928 - pyskl - INFO - Epoch(val) [88][169] top1_acc: 0.8931, top5_acc: 0.9933 +2025-07-02 17:43:49,172 - pyskl - INFO - Epoch [89][100/1178] lr: 9.117e-03, eta: 3:16:48, time: 0.372, data_time: 0.210, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2361, loss: 0.2361 +2025-07-02 17:44:04,853 - pyskl - INFO - Epoch [89][200/1178] lr: 9.096e-03, eta: 3:16:31, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2780, loss: 0.2780 +2025-07-02 17:44:20,504 - pyskl - INFO - Epoch [89][300/1178] lr: 9.075e-03, eta: 3:16:15, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3015, loss: 0.3015 +2025-07-02 17:44:36,128 - pyskl - INFO - Epoch [89][400/1178] lr: 9.053e-03, eta: 3:15:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3647, loss: 0.3647 +2025-07-02 17:44:51,736 - pyskl - INFO - Epoch [89][500/1178] lr: 9.032e-03, eta: 3:15:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3322, loss: 0.3322 +2025-07-02 17:45:07,434 - pyskl - INFO - Epoch [89][600/1178] lr: 9.010e-03, eta: 3:15:25, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2796, loss: 0.2796 +2025-07-02 17:45:22,957 - pyskl - INFO - Epoch [89][700/1178] lr: 8.989e-03, eta: 3:15:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3422, loss: 0.3422 +2025-07-02 17:45:38,502 - pyskl - INFO - Epoch [89][800/1178] lr: 8.968e-03, eta: 3:14:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9988, loss_cls: 0.3130, loss: 0.3130 +2025-07-02 17:45:54,046 - pyskl - INFO - Epoch [89][900/1178] lr: 8.947e-03, eta: 3:14:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3192, loss: 0.3192 +2025-07-02 17:46:09,580 - pyskl - INFO - Epoch [89][1000/1178] lr: 8.925e-03, eta: 3:14:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3203, loss: 0.3203 +2025-07-02 17:46:25,438 - pyskl - INFO - Epoch [89][1100/1178] lr: 8.904e-03, eta: 3:14:02, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3489, loss: 0.3489 +2025-07-02 17:46:38,121 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 17:47:00,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:47:00,806 - pyskl - INFO - +top1_acc 0.8842 +top5_acc 0.9863 +2025-07-02 17:47:00,807 - pyskl - INFO - Epoch(val) [89][169] top1_acc: 0.8842, top5_acc: 0.9863 +2025-07-02 17:47:37,464 - pyskl - INFO - Epoch [90][100/1178] lr: 8.866e-03, eta: 3:13:38, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2590, loss: 0.2590 +2025-07-02 17:47:53,071 - pyskl - INFO - Epoch [90][200/1178] lr: 8.845e-03, eta: 3:13:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 17:48:08,582 - pyskl - INFO - Epoch [90][300/1178] lr: 8.824e-03, eta: 3:13:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3314, loss: 0.3314 +2025-07-02 17:48:24,121 - pyskl - INFO - Epoch [90][400/1178] lr: 8.802e-03, eta: 3:12:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3633, loss: 0.3633 +2025-07-02 17:48:39,667 - pyskl - INFO - Epoch [90][500/1178] lr: 8.781e-03, eta: 3:12:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9413, top5_acc: 0.9925, loss_cls: 0.3182, loss: 0.3182 +2025-07-02 17:48:55,235 - pyskl - INFO - Epoch [90][600/1178] lr: 8.760e-03, eta: 3:12:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2697, loss: 0.2697 +2025-07-02 17:49:10,930 - pyskl - INFO - Epoch [90][700/1178] lr: 8.739e-03, eta: 3:11:59, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3431, loss: 0.3431 +2025-07-02 17:49:26,511 - pyskl - INFO - Epoch [90][800/1178] lr: 8.717e-03, eta: 3:11:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3296, loss: 0.3296 +2025-07-02 17:49:42,152 - pyskl - INFO - Epoch [90][900/1178] lr: 8.696e-03, eta: 3:11:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3671, loss: 0.3671 +2025-07-02 17:49:57,702 - pyskl - INFO - Epoch [90][1000/1178] lr: 8.675e-03, eta: 3:11:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.3048, loss: 0.3048 +2025-07-02 17:50:13,322 - pyskl - INFO - Epoch [90][1100/1178] lr: 8.654e-03, eta: 3:10:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2968, loss: 0.2968 +2025-07-02 17:50:26,035 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 17:50:48,740 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:50:48,750 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9926 +2025-07-02 17:50:48,750 - pyskl - INFO - Epoch(val) [90][169] top1_acc: 0.9090, top5_acc: 0.9926 +2025-07-02 17:51:25,519 - pyskl - INFO - Epoch [91][100/1178] lr: 8.616e-03, eta: 3:10:29, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.2948, loss: 0.2948 +2025-07-02 17:51:41,084 - pyskl - INFO - Epoch [91][200/1178] lr: 8.595e-03, eta: 3:10:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2750, loss: 0.2750 +2025-07-02 17:51:56,612 - pyskl - INFO - Epoch [91][300/1178] lr: 8.574e-03, eta: 3:09:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2707, loss: 0.2707 +2025-07-02 17:52:12,160 - pyskl - INFO - Epoch [91][400/1178] lr: 8.553e-03, eta: 3:09:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3033, loss: 0.3033 +2025-07-02 17:52:27,710 - pyskl - INFO - Epoch [91][500/1178] lr: 8.532e-03, eta: 3:09:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3417, loss: 0.3417 +2025-07-02 17:52:43,265 - pyskl - INFO - Epoch [91][600/1178] lr: 8.511e-03, eta: 3:09:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3404, loss: 0.3404 +2025-07-02 17:52:58,971 - pyskl - INFO - Epoch [91][700/1178] lr: 8.490e-03, eta: 3:08:49, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3304, loss: 0.3304 +2025-07-02 17:53:14,702 - pyskl - INFO - Epoch [91][800/1178] lr: 8.469e-03, eta: 3:08:33, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3055, loss: 0.3055 +2025-07-02 17:53:30,321 - pyskl - INFO - Epoch [91][900/1178] lr: 8.448e-03, eta: 3:08:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2988, loss: 0.2988 +2025-07-02 17:53:45,898 - pyskl - INFO - Epoch [91][1000/1178] lr: 8.427e-03, eta: 3:08:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 0.3114, loss: 0.3114 +2025-07-02 17:54:01,437 - pyskl - INFO - Epoch [91][1100/1178] lr: 8.406e-03, eta: 3:07:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3179, loss: 0.3179 +2025-07-02 17:54:14,098 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 17:54:37,116 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:54:37,127 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9911 +2025-07-02 17:54:37,127 - pyskl - INFO - Epoch(val) [91][169] top1_acc: 0.9050, top5_acc: 0.9911 +2025-07-02 17:55:13,729 - pyskl - INFO - Epoch [92][100/1178] lr: 8.368e-03, eta: 3:07:19, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2406, loss: 0.2406 +2025-07-02 17:55:29,223 - pyskl - INFO - Epoch [92][200/1178] lr: 8.347e-03, eta: 3:07:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3169, loss: 0.3169 +2025-07-02 17:55:44,743 - pyskl - INFO - Epoch [92][300/1178] lr: 8.326e-03, eta: 3:06:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.2974, loss: 0.2974 +2025-07-02 17:56:00,227 - pyskl - INFO - Epoch [92][400/1178] lr: 8.306e-03, eta: 3:06:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9994, loss_cls: 0.2712, loss: 0.2712 +2025-07-02 17:56:15,671 - pyskl - INFO - Epoch [92][500/1178] lr: 8.285e-03, eta: 3:06:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.3360, loss: 0.3360 +2025-07-02 17:56:31,170 - pyskl - INFO - Epoch [92][600/1178] lr: 8.264e-03, eta: 3:05:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2881, loss: 0.2881 +2025-07-02 17:56:46,822 - pyskl - INFO - Epoch [92][700/1178] lr: 8.243e-03, eta: 3:05:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2598, loss: 0.2598 +2025-07-02 17:57:02,416 - pyskl - INFO - Epoch [92][800/1178] lr: 8.222e-03, eta: 3:05:23, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3056, loss: 0.3056 +2025-07-02 17:57:17,968 - pyskl - INFO - Epoch [92][900/1178] lr: 8.201e-03, eta: 3:05:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9988, loss_cls: 0.3064, loss: 0.3064 +2025-07-02 17:57:33,478 - pyskl - INFO - Epoch [92][1000/1178] lr: 8.180e-03, eta: 3:04:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 17:57:49,030 - pyskl - INFO - Epoch [92][1100/1178] lr: 8.159e-03, eta: 3:04:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.3165, loss: 0.3165 +2025-07-02 17:58:01,692 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 17:58:24,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 17:58:24,570 - pyskl - INFO - +top1_acc 0.9046 +top5_acc 0.9900 +2025-07-02 17:58:24,570 - pyskl - INFO - Epoch(val) [92][169] top1_acc: 0.9046, top5_acc: 0.9900 +2025-07-02 17:59:01,201 - pyskl - INFO - Epoch [93][100/1178] lr: 8.122e-03, eta: 3:04:09, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2351, loss: 0.2351 +2025-07-02 17:59:16,720 - pyskl - INFO - Epoch [93][200/1178] lr: 8.101e-03, eta: 3:03:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2678, loss: 0.2678 +2025-07-02 17:59:32,252 - pyskl - INFO - Epoch [93][300/1178] lr: 8.081e-03, eta: 3:03:36, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 17:59:47,741 - pyskl - INFO - Epoch [93][400/1178] lr: 8.060e-03, eta: 3:03:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2652, loss: 0.2652 +2025-07-02 18:00:03,223 - pyskl - INFO - Epoch [93][500/1178] lr: 8.039e-03, eta: 3:03:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2780, loss: 0.2780 +2025-07-02 18:00:18,822 - pyskl - INFO - Epoch [93][600/1178] lr: 8.018e-03, eta: 3:02:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2716, loss: 0.2716 +2025-07-02 18:00:34,444 - pyskl - INFO - Epoch [93][700/1178] lr: 7.998e-03, eta: 3:02:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 18:00:50,005 - pyskl - INFO - Epoch [93][800/1178] lr: 7.977e-03, eta: 3:02:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2836, loss: 0.2836 +2025-07-02 18:01:05,604 - pyskl - INFO - Epoch [93][900/1178] lr: 7.956e-03, eta: 3:01:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2802, loss: 0.2802 +2025-07-02 18:01:21,173 - pyskl - INFO - Epoch [93][1000/1178] lr: 7.935e-03, eta: 3:01:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2996, loss: 0.2996 +2025-07-02 18:01:36,928 - pyskl - INFO - Epoch [93][1100/1178] lr: 7.915e-03, eta: 3:01:23, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3262, loss: 0.3262 +2025-07-02 18:01:49,619 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 18:02:12,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:02:12,460 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9945 +2025-07-02 18:02:12,464 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_77.pth was removed +2025-07-02 18:02:12,587 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-07-02 18:02:12,587 - pyskl - INFO - Best top1_acc is 0.9197 at 93 epoch. +2025-07-02 18:02:12,588 - pyskl - INFO - Epoch(val) [93][169] top1_acc: 0.9197, top5_acc: 0.9945 +2025-07-02 18:02:49,748 - pyskl - INFO - Epoch [94][100/1178] lr: 7.878e-03, eta: 3:01:00, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2746, loss: 0.2746 +2025-07-02 18:03:05,355 - pyskl - INFO - Epoch [94][200/1178] lr: 7.857e-03, eta: 3:00:43, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 18:03:20,970 - pyskl - INFO - Epoch [94][300/1178] lr: 7.837e-03, eta: 3:00:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2678, loss: 0.2678 +2025-07-02 18:03:36,593 - pyskl - INFO - Epoch [94][400/1178] lr: 7.816e-03, eta: 3:00:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2783, loss: 0.2783 +2025-07-02 18:03:52,218 - pyskl - INFO - Epoch [94][500/1178] lr: 7.796e-03, eta: 2:59:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 18:04:07,793 - pyskl - INFO - Epoch [94][600/1178] lr: 7.775e-03, eta: 2:59:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2806, loss: 0.2806 +2025-07-02 18:04:23,288 - pyskl - INFO - Epoch [94][700/1178] lr: 7.754e-03, eta: 2:59:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3077, loss: 0.3077 +2025-07-02 18:04:38,871 - pyskl - INFO - Epoch [94][800/1178] lr: 7.734e-03, eta: 2:59:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2410, loss: 0.2410 +2025-07-02 18:04:54,573 - pyskl - INFO - Epoch [94][900/1178] lr: 7.713e-03, eta: 2:58:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.2973, loss: 0.2973 +2025-07-02 18:05:10,154 - pyskl - INFO - Epoch [94][1000/1178] lr: 7.693e-03, eta: 2:58:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2549, loss: 0.2549 +2025-07-02 18:05:25,816 - pyskl - INFO - Epoch [94][1100/1178] lr: 7.672e-03, eta: 2:58:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9469, top5_acc: 0.9981, loss_cls: 0.2922, loss: 0.2922 +2025-07-02 18:05:38,523 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 18:06:01,621 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:06:01,631 - pyskl - INFO - +top1_acc 0.8754 +top5_acc 0.9749 +2025-07-02 18:06:01,631 - pyskl - INFO - Epoch(val) [94][169] top1_acc: 0.8754, top5_acc: 0.9749 +2025-07-02 18:06:38,359 - pyskl - INFO - Epoch [95][100/1178] lr: 7.636e-03, eta: 2:57:50, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3105, loss: 0.3105 +2025-07-02 18:06:53,862 - pyskl - INFO - Epoch [95][200/1178] lr: 7.615e-03, eta: 2:57:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2503, loss: 0.2503 +2025-07-02 18:07:09,315 - pyskl - INFO - Epoch [95][300/1178] lr: 7.595e-03, eta: 2:57:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2937, loss: 0.2937 +2025-07-02 18:07:24,758 - pyskl - INFO - Epoch [95][400/1178] lr: 7.574e-03, eta: 2:57:00, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2592, loss: 0.2592 +2025-07-02 18:07:40,231 - pyskl - INFO - Epoch [95][500/1178] lr: 7.554e-03, eta: 2:56:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 18:07:55,753 - pyskl - INFO - Epoch [95][600/1178] lr: 7.534e-03, eta: 2:56:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.3125, loss: 0.3125 +2025-07-02 18:08:11,302 - pyskl - INFO - Epoch [95][700/1178] lr: 7.513e-03, eta: 2:56:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2879, loss: 0.2879 +2025-07-02 18:08:26,883 - pyskl - INFO - Epoch [95][800/1178] lr: 7.493e-03, eta: 2:55:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2572, loss: 0.2572 +2025-07-02 18:08:42,497 - pyskl - INFO - Epoch [95][900/1178] lr: 7.472e-03, eta: 2:55:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2564, loss: 0.2564 +2025-07-02 18:08:58,038 - pyskl - INFO - Epoch [95][1000/1178] lr: 7.452e-03, eta: 2:55:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.3126, loss: 0.3126 +2025-07-02 18:09:13,673 - pyskl - INFO - Epoch [95][1100/1178] lr: 7.432e-03, eta: 2:55:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 18:09:26,326 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 18:09:49,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:09:49,296 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9952 +2025-07-02 18:09:49,297 - pyskl - INFO - Epoch(val) [95][169] top1_acc: 0.9101, top5_acc: 0.9952 +2025-07-02 18:10:26,202 - pyskl - INFO - Epoch [96][100/1178] lr: 7.396e-03, eta: 2:54:40, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2612, loss: 0.2612 +2025-07-02 18:10:41,680 - pyskl - INFO - Epoch [96][200/1178] lr: 7.375e-03, eta: 2:54:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2746, loss: 0.2746 +2025-07-02 18:10:57,148 - pyskl - INFO - Epoch [96][300/1178] lr: 7.355e-03, eta: 2:54:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2374, loss: 0.2374 +2025-07-02 18:11:12,620 - pyskl - INFO - Epoch [96][400/1178] lr: 7.335e-03, eta: 2:53:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.2631, loss: 0.2631 +2025-07-02 18:11:28,146 - pyskl - INFO - Epoch [96][500/1178] lr: 7.315e-03, eta: 2:53:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2535, loss: 0.2535 +2025-07-02 18:11:43,707 - pyskl - INFO - Epoch [96][600/1178] lr: 7.294e-03, eta: 2:53:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2653, loss: 0.2653 +2025-07-02 18:11:59,326 - pyskl - INFO - Epoch [96][700/1178] lr: 7.274e-03, eta: 2:53:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2350, loss: 0.2350 +2025-07-02 18:12:14,960 - pyskl - INFO - Epoch [96][800/1178] lr: 7.254e-03, eta: 2:52:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2702, loss: 0.2702 +2025-07-02 18:12:30,556 - pyskl - INFO - Epoch [96][900/1178] lr: 7.234e-03, eta: 2:52:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2583, loss: 0.2583 +2025-07-02 18:12:46,102 - pyskl - INFO - Epoch [96][1000/1178] lr: 7.214e-03, eta: 2:52:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2551, loss: 0.2551 +2025-07-02 18:13:01,665 - pyskl - INFO - Epoch [96][1100/1178] lr: 7.194e-03, eta: 2:51:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2739, loss: 0.2739 +2025-07-02 18:13:14,451 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 18:13:37,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:13:37,723 - pyskl - INFO - +top1_acc 0.8998 +top5_acc 0.9930 +2025-07-02 18:13:37,723 - pyskl - INFO - Epoch(val) [96][169] top1_acc: 0.8998, top5_acc: 0.9930 +2025-07-02 18:14:14,472 - pyskl - INFO - Epoch [97][100/1178] lr: 7.158e-03, eta: 2:51:30, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9938, loss_cls: 0.2489, loss: 0.2489 +2025-07-02 18:14:30,177 - pyskl - INFO - Epoch [97][200/1178] lr: 7.138e-03, eta: 2:51:13, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3086, loss: 0.3086 +2025-07-02 18:14:45,767 - pyskl - INFO - Epoch [97][300/1178] lr: 7.118e-03, eta: 2:50:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.2152, loss: 0.2152 +2025-07-02 18:15:01,311 - pyskl - INFO - Epoch [97][400/1178] lr: 7.098e-03, eta: 2:50:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2357, loss: 0.2357 +2025-07-02 18:15:16,899 - pyskl - INFO - Epoch [97][500/1178] lr: 7.078e-03, eta: 2:50:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2750, loss: 0.2750 +2025-07-02 18:15:32,508 - pyskl - INFO - Epoch [97][600/1178] lr: 7.058e-03, eta: 2:50:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2956, loss: 0.2956 +2025-07-02 18:15:48,116 - pyskl - INFO - Epoch [97][700/1178] lr: 7.038e-03, eta: 2:49:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2615, loss: 0.2615 +2025-07-02 18:16:03,752 - pyskl - INFO - Epoch [97][800/1178] lr: 7.018e-03, eta: 2:49:34, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2443, loss: 0.2443 +2025-07-02 18:16:19,372 - pyskl - INFO - Epoch [97][900/1178] lr: 6.998e-03, eta: 2:49:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 18:16:34,958 - pyskl - INFO - Epoch [97][1000/1178] lr: 6.978e-03, eta: 2:49:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2975, loss: 0.2975 +2025-07-02 18:16:50,495 - pyskl - INFO - Epoch [97][1100/1178] lr: 6.958e-03, eta: 2:48:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2713, loss: 0.2713 +2025-07-02 18:17:03,281 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 18:17:25,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:17:25,961 - pyskl - INFO - +top1_acc 0.8916 +top5_acc 0.9882 +2025-07-02 18:17:25,961 - pyskl - INFO - Epoch(val) [97][169] top1_acc: 0.8916, top5_acc: 0.9882 +2025-07-02 18:18:02,513 - pyskl - INFO - Epoch [98][100/1178] lr: 6.922e-03, eta: 2:48:20, time: 0.365, data_time: 0.207, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2096, loss: 0.2096 +2025-07-02 18:18:18,207 - pyskl - INFO - Epoch [98][200/1178] lr: 6.902e-03, eta: 2:48:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9950, loss_cls: 0.2319, loss: 0.2319 +2025-07-02 18:18:33,720 - pyskl - INFO - Epoch [98][300/1178] lr: 6.883e-03, eta: 2:47:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2294, loss: 0.2294 +2025-07-02 18:18:49,305 - pyskl - INFO - Epoch [98][400/1178] lr: 6.863e-03, eta: 2:47:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2504, loss: 0.2504 +2025-07-02 18:19:04,783 - pyskl - INFO - Epoch [98][500/1178] lr: 6.843e-03, eta: 2:47:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2513, loss: 0.2513 +2025-07-02 18:19:20,269 - pyskl - INFO - Epoch [98][600/1178] lr: 6.823e-03, eta: 2:46:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2512, loss: 0.2512 +2025-07-02 18:19:35,732 - pyskl - INFO - Epoch [98][700/1178] lr: 6.803e-03, eta: 2:46:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2568, loss: 0.2568 +2025-07-02 18:19:51,292 - pyskl - INFO - Epoch [98][800/1178] lr: 6.784e-03, eta: 2:46:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2394, loss: 0.2394 +2025-07-02 18:20:06,880 - pyskl - INFO - Epoch [98][900/1178] lr: 6.764e-03, eta: 2:46:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2243, loss: 0.2243 +2025-07-02 18:20:22,630 - pyskl - INFO - Epoch [98][1000/1178] lr: 6.744e-03, eta: 2:45:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2233, loss: 0.2233 +2025-07-02 18:20:38,227 - pyskl - INFO - Epoch [98][1100/1178] lr: 6.724e-03, eta: 2:45:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2270, loss: 0.2270 +2025-07-02 18:20:50,901 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 18:21:14,052 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:21:14,062 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9911 +2025-07-02 18:21:14,063 - pyskl - INFO - Epoch(val) [98][169] top1_acc: 0.8913, top5_acc: 0.9911 +2025-07-02 18:21:51,233 - pyskl - INFO - Epoch [99][100/1178] lr: 6.689e-03, eta: 2:45:10, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 18:22:06,742 - pyskl - INFO - Epoch [99][200/1178] lr: 6.670e-03, eta: 2:44:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2404, loss: 0.2404 +2025-07-02 18:22:22,267 - pyskl - INFO - Epoch [99][300/1178] lr: 6.650e-03, eta: 2:44:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2440, loss: 0.2440 +2025-07-02 18:22:37,803 - pyskl - INFO - Epoch [99][400/1178] lr: 6.630e-03, eta: 2:44:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2217, loss: 0.2217 +2025-07-02 18:22:53,481 - pyskl - INFO - Epoch [99][500/1178] lr: 6.611e-03, eta: 2:44:04, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2546, loss: 0.2546 +2025-07-02 18:23:09,073 - pyskl - INFO - Epoch [99][600/1178] lr: 6.591e-03, eta: 2:43:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2419, loss: 0.2419 +2025-07-02 18:23:24,651 - pyskl - INFO - Epoch [99][700/1178] lr: 6.572e-03, eta: 2:43:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2463, loss: 0.2463 +2025-07-02 18:23:40,282 - pyskl - INFO - Epoch [99][800/1178] lr: 6.552e-03, eta: 2:43:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2500, loss: 0.2500 +2025-07-02 18:23:55,954 - pyskl - INFO - Epoch [99][900/1178] lr: 6.532e-03, eta: 2:42:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2494, loss: 0.2494 +2025-07-02 18:24:11,566 - pyskl - INFO - Epoch [99][1000/1178] lr: 6.513e-03, eta: 2:42:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2653, loss: 0.2653 +2025-07-02 18:24:27,213 - pyskl - INFO - Epoch [99][1100/1178] lr: 6.493e-03, eta: 2:42:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2709, loss: 0.2709 +2025-07-02 18:24:40,121 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 18:25:03,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:25:03,122 - pyskl - INFO - +top1_acc 0.9127 +top5_acc 0.9922 +2025-07-02 18:25:03,122 - pyskl - INFO - Epoch(val) [99][169] top1_acc: 0.9127, top5_acc: 0.9922 +2025-07-02 18:25:39,881 - pyskl - INFO - Epoch [100][100/1178] lr: 6.459e-03, eta: 2:42:00, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.2179, loss: 0.2179 +2025-07-02 18:25:55,401 - pyskl - INFO - Epoch [100][200/1178] lr: 6.439e-03, eta: 2:41:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2692, loss: 0.2692 +2025-07-02 18:26:10,906 - pyskl - INFO - Epoch [100][300/1178] lr: 6.420e-03, eta: 2:41:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2880, loss: 0.2880 +2025-07-02 18:26:26,434 - pyskl - INFO - Epoch [100][400/1178] lr: 6.401e-03, eta: 2:41:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2339, loss: 0.2339 +2025-07-02 18:26:41,986 - pyskl - INFO - Epoch [100][500/1178] lr: 6.381e-03, eta: 2:40:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9938, loss_cls: 0.2732, loss: 0.2732 +2025-07-02 18:26:57,576 - pyskl - INFO - Epoch [100][600/1178] lr: 6.362e-03, eta: 2:40:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2219, loss: 0.2219 +2025-07-02 18:27:13,176 - pyskl - INFO - Epoch [100][700/1178] lr: 6.342e-03, eta: 2:40:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2358, loss: 0.2358 +2025-07-02 18:27:28,711 - pyskl - INFO - Epoch [100][800/1178] lr: 6.323e-03, eta: 2:40:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2408, loss: 0.2408 +2025-07-02 18:27:44,255 - pyskl - INFO - Epoch [100][900/1178] lr: 6.304e-03, eta: 2:39:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2342, loss: 0.2342 +2025-07-02 18:27:59,829 - pyskl - INFO - Epoch [100][1000/1178] lr: 6.284e-03, eta: 2:39:31, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2949, loss: 0.2949 +2025-07-02 18:28:15,362 - pyskl - INFO - Epoch [100][1100/1178] lr: 6.265e-03, eta: 2:39:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2137, loss: 0.2137 +2025-07-02 18:28:28,077 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 18:28:51,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:28:51,149 - pyskl - INFO - +top1_acc 0.9120 +top5_acc 0.9930 +2025-07-02 18:28:51,149 - pyskl - INFO - Epoch(val) [100][169] top1_acc: 0.9120, top5_acc: 0.9930 +2025-07-02 18:29:27,538 - pyskl - INFO - Epoch [101][100/1178] lr: 6.231e-03, eta: 2:38:50, time: 0.364, data_time: 0.206, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2195, loss: 0.2195 +2025-07-02 18:29:43,004 - pyskl - INFO - Epoch [101][200/1178] lr: 6.212e-03, eta: 2:38:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2460, loss: 0.2460 +2025-07-02 18:29:58,460 - pyskl - INFO - Epoch [101][300/1178] lr: 6.193e-03, eta: 2:38:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2196, loss: 0.2196 +2025-07-02 18:30:13,930 - pyskl - INFO - Epoch [101][400/1178] lr: 6.173e-03, eta: 2:38:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2656, loss: 0.2656 +2025-07-02 18:30:29,408 - pyskl - INFO - Epoch [101][500/1178] lr: 6.154e-03, eta: 2:37:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2579, loss: 0.2579 +2025-07-02 18:30:44,899 - pyskl - INFO - Epoch [101][600/1178] lr: 6.135e-03, eta: 2:37:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2374, loss: 0.2374 +2025-07-02 18:31:00,549 - pyskl - INFO - Epoch [101][700/1178] lr: 6.116e-03, eta: 2:37:10, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2415, loss: 0.2415 +2025-07-02 18:31:16,194 - pyskl - INFO - Epoch [101][800/1178] lr: 6.097e-03, eta: 2:36:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2536, loss: 0.2536 +2025-07-02 18:31:31,848 - pyskl - INFO - Epoch [101][900/1178] lr: 6.078e-03, eta: 2:36:37, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.2069, loss: 0.2069 +2025-07-02 18:31:47,492 - pyskl - INFO - Epoch [101][1000/1178] lr: 6.059e-03, eta: 2:36:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2248, loss: 0.2248 +2025-07-02 18:32:03,033 - pyskl - INFO - Epoch [101][1100/1178] lr: 6.040e-03, eta: 2:36:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2242, loss: 0.2242 +2025-07-02 18:32:15,719 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 18:32:38,615 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:32:38,625 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9900 +2025-07-02 18:32:38,625 - pyskl - INFO - Epoch(val) [101][169] top1_acc: 0.9005, top5_acc: 0.9900 +2025-07-02 18:33:16,075 - pyskl - INFO - Epoch [102][100/1178] lr: 6.006e-03, eta: 2:35:40, time: 0.374, data_time: 0.214, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1893, loss: 0.1893 +2025-07-02 18:33:31,575 - pyskl - INFO - Epoch [102][200/1178] lr: 5.987e-03, eta: 2:35:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2398, loss: 0.2398 +2025-07-02 18:33:47,025 - pyskl - INFO - Epoch [102][300/1178] lr: 5.968e-03, eta: 2:35:07, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2113, loss: 0.2113 +2025-07-02 18:34:02,567 - pyskl - INFO - Epoch [102][400/1178] lr: 5.949e-03, eta: 2:34:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2177, loss: 0.2177 +2025-07-02 18:34:18,105 - pyskl - INFO - Epoch [102][500/1178] lr: 5.930e-03, eta: 2:34:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.2171, loss: 0.2171 +2025-07-02 18:34:34,042 - pyskl - INFO - Epoch [102][600/1178] lr: 5.911e-03, eta: 2:34:17, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2268, loss: 0.2268 +2025-07-02 18:34:49,638 - pyskl - INFO - Epoch [102][700/1178] lr: 5.892e-03, eta: 2:34:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2577, loss: 0.2577 +2025-07-02 18:35:05,266 - pyskl - INFO - Epoch [102][800/1178] lr: 5.873e-03, eta: 2:33:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2321, loss: 0.2321 +2025-07-02 18:35:20,887 - pyskl - INFO - Epoch [102][900/1178] lr: 5.855e-03, eta: 2:33:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2622, loss: 0.2622 +2025-07-02 18:35:36,468 - pyskl - INFO - Epoch [102][1000/1178] lr: 5.836e-03, eta: 2:33:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2574, loss: 0.2574 +2025-07-02 18:35:52,062 - pyskl - INFO - Epoch [102][1100/1178] lr: 5.817e-03, eta: 2:32:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2389, loss: 0.2389 +2025-07-02 18:36:04,722 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 18:36:27,744 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:36:27,755 - pyskl - INFO - +top1_acc 0.9172 +top5_acc 0.9967 +2025-07-02 18:36:27,755 - pyskl - INFO - Epoch(val) [102][169] top1_acc: 0.9172, top5_acc: 0.9967 +2025-07-02 18:37:04,547 - pyskl - INFO - Epoch [103][100/1178] lr: 5.784e-03, eta: 2:32:30, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.2063, loss: 0.2063 +2025-07-02 18:37:20,172 - pyskl - INFO - Epoch [103][200/1178] lr: 5.765e-03, eta: 2:32:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2212, loss: 0.2212 +2025-07-02 18:37:35,751 - pyskl - INFO - Epoch [103][300/1178] lr: 5.746e-03, eta: 2:31:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.2032, loss: 0.2032 +2025-07-02 18:37:51,354 - pyskl - INFO - Epoch [103][400/1178] lr: 5.727e-03, eta: 2:31:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9944, loss_cls: 0.1988, loss: 0.1988 +2025-07-02 18:38:07,076 - pyskl - INFO - Epoch [103][500/1178] lr: 5.709e-03, eta: 2:31:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2613, loss: 0.2613 +2025-07-02 18:38:22,668 - pyskl - INFO - Epoch [103][600/1178] lr: 5.690e-03, eta: 2:31:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2276, loss: 0.2276 +2025-07-02 18:38:38,256 - pyskl - INFO - Epoch [103][700/1178] lr: 5.672e-03, eta: 2:30:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2280, loss: 0.2280 +2025-07-02 18:38:53,790 - pyskl - INFO - Epoch [103][800/1178] lr: 5.653e-03, eta: 2:30:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2257, loss: 0.2257 +2025-07-02 18:39:09,334 - pyskl - INFO - Epoch [103][900/1178] lr: 5.634e-03, eta: 2:30:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2223, loss: 0.2223 +2025-07-02 18:39:24,826 - pyskl - INFO - Epoch [103][1000/1178] lr: 5.616e-03, eta: 2:30:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9956, loss_cls: 0.2132, loss: 0.2132 +2025-07-02 18:39:40,300 - pyskl - INFO - Epoch [103][1100/1178] lr: 5.597e-03, eta: 2:29:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.2127, loss: 0.2127 +2025-07-02 18:39:53,088 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 18:40:16,162 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:40:16,172 - pyskl - INFO - +top1_acc 0.9024 +top5_acc 0.9882 +2025-07-02 18:40:16,173 - pyskl - INFO - Epoch(val) [103][169] top1_acc: 0.9024, top5_acc: 0.9882 +2025-07-02 18:40:53,339 - pyskl - INFO - Epoch [104][100/1178] lr: 5.564e-03, eta: 2:29:20, time: 0.372, data_time: 0.211, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.2121, loss: 0.2121 +2025-07-02 18:41:08,976 - pyskl - INFO - Epoch [104][200/1178] lr: 5.546e-03, eta: 2:29:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.2030, loss: 0.2030 +2025-07-02 18:41:24,512 - pyskl - INFO - Epoch [104][300/1178] lr: 5.527e-03, eta: 2:28:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.2291, loss: 0.2291 +2025-07-02 18:41:40,075 - pyskl - INFO - Epoch [104][400/1178] lr: 5.509e-03, eta: 2:28:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.2009, loss: 0.2009 +2025-07-02 18:41:55,550 - pyskl - INFO - Epoch [104][500/1178] lr: 5.491e-03, eta: 2:28:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 18:42:11,022 - pyskl - INFO - Epoch [104][600/1178] lr: 5.472e-03, eta: 2:27:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1930, loss: 0.1930 +2025-07-02 18:42:26,680 - pyskl - INFO - Epoch [104][700/1178] lr: 5.454e-03, eta: 2:27:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1664, loss: 0.1664 +2025-07-02 18:42:42,155 - pyskl - INFO - Epoch [104][800/1178] lr: 5.435e-03, eta: 2:27:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1899, loss: 0.1899 +2025-07-02 18:42:57,672 - pyskl - INFO - Epoch [104][900/1178] lr: 5.417e-03, eta: 2:27:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.2131, loss: 0.2131 +2025-07-02 18:43:13,244 - pyskl - INFO - Epoch [104][1000/1178] lr: 5.399e-03, eta: 2:26:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2145, loss: 0.2145 +2025-07-02 18:43:28,860 - pyskl - INFO - Epoch [104][1100/1178] lr: 5.381e-03, eta: 2:26:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.2134, loss: 0.2134 +2025-07-02 18:43:41,715 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 18:44:04,632 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:44:04,643 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9930 +2025-07-02 18:44:04,644 - pyskl - INFO - Epoch(val) [104][169] top1_acc: 0.8891, top5_acc: 0.9930 +2025-07-02 18:44:41,274 - pyskl - INFO - Epoch [105][100/1178] lr: 5.348e-03, eta: 2:26:09, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9950, loss_cls: 0.1913, loss: 0.1913 +2025-07-02 18:44:56,812 - pyskl - INFO - Epoch [105][200/1178] lr: 5.330e-03, eta: 2:25:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2330, loss: 0.2330 +2025-07-02 18:45:12,256 - pyskl - INFO - Epoch [105][300/1178] lr: 5.312e-03, eta: 2:25:36, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1830, loss: 0.1830 +2025-07-02 18:45:27,769 - pyskl - INFO - Epoch [105][400/1178] lr: 5.293e-03, eta: 2:25:20, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1850, loss: 0.1850 +2025-07-02 18:45:43,322 - pyskl - INFO - Epoch [105][500/1178] lr: 5.275e-03, eta: 2:25:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 18:45:58,897 - pyskl - INFO - Epoch [105][600/1178] lr: 5.257e-03, eta: 2:24:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2013, loss: 0.2013 +2025-07-02 18:46:14,420 - pyskl - INFO - Epoch [105][700/1178] lr: 5.239e-03, eta: 2:24:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1996, loss: 0.1996 +2025-07-02 18:46:29,985 - pyskl - INFO - Epoch [105][800/1178] lr: 5.221e-03, eta: 2:24:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2130, loss: 0.2130 +2025-07-02 18:46:45,571 - pyskl - INFO - Epoch [105][900/1178] lr: 5.203e-03, eta: 2:23:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.2023, loss: 0.2023 +2025-07-02 18:47:01,053 - pyskl - INFO - Epoch [105][1000/1178] lr: 5.185e-03, eta: 2:23:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2074, loss: 0.2074 +2025-07-02 18:47:16,471 - pyskl - INFO - Epoch [105][1100/1178] lr: 5.167e-03, eta: 2:23:24, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2150, loss: 0.2150 +2025-07-02 18:47:29,052 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 18:47:52,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:47:52,175 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9952 +2025-07-02 18:47:52,179 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_93.pth was removed +2025-07-02 18:47:52,293 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2025-07-02 18:47:52,294 - pyskl - INFO - Best top1_acc is 0.9212 at 105 epoch. +2025-07-02 18:47:52,295 - pyskl - INFO - Epoch(val) [105][169] top1_acc: 0.9212, top5_acc: 0.9952 +2025-07-02 18:48:29,166 - pyskl - INFO - Epoch [106][100/1178] lr: 5.135e-03, eta: 2:22:59, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2579, loss: 0.2579 +2025-07-02 18:48:44,721 - pyskl - INFO - Epoch [106][200/1178] lr: 5.117e-03, eta: 2:22:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1951, loss: 0.1951 +2025-07-02 18:49:00,234 - pyskl - INFO - Epoch [106][300/1178] lr: 5.099e-03, eta: 2:22:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1611, loss: 0.1611 +2025-07-02 18:49:15,693 - pyskl - INFO - Epoch [106][400/1178] lr: 5.081e-03, eta: 2:22:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 18:49:31,231 - pyskl - INFO - Epoch [106][500/1178] lr: 5.063e-03, eta: 2:21:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2217, loss: 0.2217 +2025-07-02 18:49:46,833 - pyskl - INFO - Epoch [106][600/1178] lr: 5.045e-03, eta: 2:21:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2232, loss: 0.2232 +2025-07-02 18:50:02,449 - pyskl - INFO - Epoch [106][700/1178] lr: 5.028e-03, eta: 2:21:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9944, loss_cls: 0.2049, loss: 0.2049 +2025-07-02 18:50:18,035 - pyskl - INFO - Epoch [106][800/1178] lr: 5.010e-03, eta: 2:21:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.2100, loss: 0.2100 +2025-07-02 18:50:33,666 - pyskl - INFO - Epoch [106][900/1178] lr: 4.992e-03, eta: 2:20:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2246, loss: 0.2246 +2025-07-02 18:50:49,332 - pyskl - INFO - Epoch [106][1000/1178] lr: 4.974e-03, eta: 2:20:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2398, loss: 0.2398 +2025-07-02 18:51:04,901 - pyskl - INFO - Epoch [106][1100/1178] lr: 4.957e-03, eta: 2:20:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2470, loss: 0.2470 +2025-07-02 18:51:17,623 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 18:51:40,755 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:51:40,766 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9941 +2025-07-02 18:51:40,769 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_105.pth was removed +2025-07-02 18:51:40,878 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-07-02 18:51:40,879 - pyskl - INFO - Best top1_acc is 0.9216 at 106 epoch. +2025-07-02 18:51:40,880 - pyskl - INFO - Epoch(val) [106][169] top1_acc: 0.9216, top5_acc: 0.9941 +2025-07-02 18:52:17,550 - pyskl - INFO - Epoch [107][100/1178] lr: 4.925e-03, eta: 2:19:48, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.1910, loss: 0.1910 +2025-07-02 18:52:33,099 - pyskl - INFO - Epoch [107][200/1178] lr: 4.907e-03, eta: 2:19:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9563, top5_acc: 1.0000, loss_cls: 0.2223, loss: 0.2223 +2025-07-02 18:52:48,641 - pyskl - INFO - Epoch [107][300/1178] lr: 4.890e-03, eta: 2:19:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1551, loss: 0.1551 +2025-07-02 18:53:04,192 - pyskl - INFO - Epoch [107][400/1178] lr: 4.872e-03, eta: 2:18:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1955, loss: 0.1955 +2025-07-02 18:53:19,753 - pyskl - INFO - Epoch [107][500/1178] lr: 4.854e-03, eta: 2:18:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1880, loss: 0.1880 +2025-07-02 18:53:35,350 - pyskl - INFO - Epoch [107][600/1178] lr: 4.837e-03, eta: 2:18:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.2062, loss: 0.2062 +2025-07-02 18:53:51,221 - pyskl - INFO - Epoch [107][700/1178] lr: 4.819e-03, eta: 2:18:09, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1755, loss: 0.1755 +2025-07-02 18:54:06,871 - pyskl - INFO - Epoch [107][800/1178] lr: 4.802e-03, eta: 2:17:53, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 18:54:22,454 - pyskl - INFO - Epoch [107][900/1178] lr: 4.784e-03, eta: 2:17:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1856, loss: 0.1856 +2025-07-02 18:54:38,041 - pyskl - INFO - Epoch [107][1000/1178] lr: 4.767e-03, eta: 2:17:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2361, loss: 0.2361 +2025-07-02 18:54:53,552 - pyskl - INFO - Epoch [107][1100/1178] lr: 4.749e-03, eta: 2:17:04, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 18:55:06,243 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 18:55:29,297 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:55:29,308 - pyskl - INFO - +top1_acc 0.9105 +top5_acc 0.9922 +2025-07-02 18:55:29,308 - pyskl - INFO - Epoch(val) [107][169] top1_acc: 0.9105, top5_acc: 0.9922 +2025-07-02 18:56:05,943 - pyskl - INFO - Epoch [108][100/1178] lr: 4.718e-03, eta: 2:16:38, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1823, loss: 0.1823 +2025-07-02 18:56:21,477 - pyskl - INFO - Epoch [108][200/1178] lr: 4.701e-03, eta: 2:16:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1801, loss: 0.1801 +2025-07-02 18:56:36,997 - pyskl - INFO - Epoch [108][300/1178] lr: 4.684e-03, eta: 2:16:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1778, loss: 0.1778 +2025-07-02 18:56:52,535 - pyskl - INFO - Epoch [108][400/1178] lr: 4.666e-03, eta: 2:15:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1841, loss: 0.1841 +2025-07-02 18:57:08,065 - pyskl - INFO - Epoch [108][500/1178] lr: 4.649e-03, eta: 2:15:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 18:57:23,549 - pyskl - INFO - Epoch [108][600/1178] lr: 4.632e-03, eta: 2:15:15, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2665, loss: 0.2665 +2025-07-02 18:57:39,004 - pyskl - INFO - Epoch [108][700/1178] lr: 4.615e-03, eta: 2:14:59, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1597, loss: 0.1597 +2025-07-02 18:57:54,567 - pyskl - INFO - Epoch [108][800/1178] lr: 4.597e-03, eta: 2:14:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2027, loss: 0.2027 +2025-07-02 18:58:10,109 - pyskl - INFO - Epoch [108][900/1178] lr: 4.580e-03, eta: 2:14:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1931, loss: 0.1931 +2025-07-02 18:58:25,766 - pyskl - INFO - Epoch [108][1000/1178] lr: 4.563e-03, eta: 2:14:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1489, loss: 0.1489 +2025-07-02 18:58:41,278 - pyskl - INFO - Epoch [108][1100/1178] lr: 4.546e-03, eta: 2:13:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1589, loss: 0.1589 +2025-07-02 18:58:53,969 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 18:59:16,955 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 18:59:16,965 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9926 +2025-07-02 18:59:16,968 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_106.pth was removed +2025-07-02 18:59:17,075 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2025-07-02 18:59:17,075 - pyskl - INFO - Best top1_acc is 0.9249 at 108 epoch. +2025-07-02 18:59:17,076 - pyskl - INFO - Epoch(val) [108][169] top1_acc: 0.9249, top5_acc: 0.9926 +2025-07-02 18:59:53,948 - pyskl - INFO - Epoch [109][100/1178] lr: 4.515e-03, eta: 2:13:27, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 19:00:09,492 - pyskl - INFO - Epoch [109][200/1178] lr: 4.498e-03, eta: 2:13:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1752, loss: 0.1752 +2025-07-02 19:00:24,992 - pyskl - INFO - Epoch [109][300/1178] lr: 4.481e-03, eta: 2:12:54, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2014, loss: 0.2014 +2025-07-02 19:00:40,477 - pyskl - INFO - Epoch [109][400/1178] lr: 4.464e-03, eta: 2:12:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1590, loss: 0.1590 +2025-07-02 19:00:55,953 - pyskl - INFO - Epoch [109][500/1178] lr: 4.447e-03, eta: 2:12:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.2015, loss: 0.2015 +2025-07-02 19:01:11,498 - pyskl - INFO - Epoch [109][600/1178] lr: 4.430e-03, eta: 2:12:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 19:01:27,049 - pyskl - INFO - Epoch [109][700/1178] lr: 4.413e-03, eta: 2:11:48, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9950, loss_cls: 0.1862, loss: 0.1862 +2025-07-02 19:01:42,641 - pyskl - INFO - Epoch [109][800/1178] lr: 4.396e-03, eta: 2:11:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9644, top5_acc: 1.0000, loss_cls: 0.1882, loss: 0.1882 +2025-07-02 19:01:58,267 - pyskl - INFO - Epoch [109][900/1178] lr: 4.379e-03, eta: 2:11:15, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 19:02:14,070 - pyskl - INFO - Epoch [109][1000/1178] lr: 4.362e-03, eta: 2:10:59, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1784, loss: 0.1784 +2025-07-02 19:02:29,729 - pyskl - INFO - Epoch [109][1100/1178] lr: 4.346e-03, eta: 2:10:43, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1691, loss: 0.1691 +2025-07-02 19:02:42,562 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 19:03:05,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:03:05,858 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9956 +2025-07-02 19:03:05,859 - pyskl - INFO - Epoch(val) [109][169] top1_acc: 0.9194, top5_acc: 0.9956 +2025-07-02 19:03:42,830 - pyskl - INFO - Epoch [110][100/1178] lr: 4.316e-03, eta: 2:10:17, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 19:03:58,411 - pyskl - INFO - Epoch [110][200/1178] lr: 4.299e-03, eta: 2:10:00, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1794, loss: 0.1794 +2025-07-02 19:04:13,938 - pyskl - INFO - Epoch [110][300/1178] lr: 4.282e-03, eta: 2:09:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1481, loss: 0.1481 +2025-07-02 19:04:29,498 - pyskl - INFO - Epoch [110][400/1178] lr: 4.265e-03, eta: 2:09:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1448, loss: 0.1448 +2025-07-02 19:04:45,066 - pyskl - INFO - Epoch [110][500/1178] lr: 4.249e-03, eta: 2:09:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1714, loss: 0.1714 +2025-07-02 19:05:00,685 - pyskl - INFO - Epoch [110][600/1178] lr: 4.232e-03, eta: 2:08:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 19:05:16,318 - pyskl - INFO - Epoch [110][700/1178] lr: 4.215e-03, eta: 2:08:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1914, loss: 0.1914 +2025-07-02 19:05:31,953 - pyskl - INFO - Epoch [110][800/1178] lr: 4.199e-03, eta: 2:08:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1388, loss: 0.1388 +2025-07-02 19:05:47,482 - pyskl - INFO - Epoch [110][900/1178] lr: 4.182e-03, eta: 2:08:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1910, loss: 0.1910 +2025-07-02 19:06:03,029 - pyskl - INFO - Epoch [110][1000/1178] lr: 4.165e-03, eta: 2:07:49, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1766, loss: 0.1766 +2025-07-02 19:06:18,554 - pyskl - INFO - Epoch [110][1100/1178] lr: 4.149e-03, eta: 2:07:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1797, loss: 0.1797 +2025-07-02 19:06:31,190 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 19:06:54,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:06:54,054 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9956 +2025-07-02 19:06:54,054 - pyskl - INFO - Epoch(val) [110][169] top1_acc: 0.9194, top5_acc: 0.9956 +2025-07-02 19:07:31,058 - pyskl - INFO - Epoch [111][100/1178] lr: 4.120e-03, eta: 2:07:06, time: 0.370, data_time: 0.212, memory: 3566, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1950, loss: 0.1950 +2025-07-02 19:07:46,596 - pyskl - INFO - Epoch [111][200/1178] lr: 4.103e-03, eta: 2:06:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9956, loss_cls: 0.1986, loss: 0.1986 +2025-07-02 19:08:02,096 - pyskl - INFO - Epoch [111][300/1178] lr: 4.087e-03, eta: 2:06:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1505, loss: 0.1505 +2025-07-02 19:08:17,597 - pyskl - INFO - Epoch [111][400/1178] lr: 4.070e-03, eta: 2:06:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1763, loss: 0.1763 +2025-07-02 19:08:33,101 - pyskl - INFO - Epoch [111][500/1178] lr: 4.054e-03, eta: 2:06:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1926, loss: 0.1926 +2025-07-02 19:08:48,603 - pyskl - INFO - Epoch [111][600/1178] lr: 4.037e-03, eta: 2:05:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1360, loss: 0.1360 +2025-07-02 19:09:04,175 - pyskl - INFO - Epoch [111][700/1178] lr: 4.021e-03, eta: 2:05:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1715, loss: 0.1715 +2025-07-02 19:09:19,782 - pyskl - INFO - Epoch [111][800/1178] lr: 4.005e-03, eta: 2:05:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1527, loss: 0.1527 +2025-07-02 19:09:35,352 - pyskl - INFO - Epoch [111][900/1178] lr: 3.988e-03, eta: 2:04:55, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1753, loss: 0.1753 +2025-07-02 19:09:50,910 - pyskl - INFO - Epoch [111][1000/1178] lr: 3.972e-03, eta: 2:04:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1919, loss: 0.1919 +2025-07-02 19:10:06,506 - pyskl - INFO - Epoch [111][1100/1178] lr: 3.956e-03, eta: 2:04:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1526, loss: 0.1526 +2025-07-02 19:10:19,192 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 19:10:41,950 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:10:41,960 - pyskl - INFO - +top1_acc 0.9046 +top5_acc 0.9911 +2025-07-02 19:10:41,961 - pyskl - INFO - Epoch(val) [111][169] top1_acc: 0.9046, top5_acc: 0.9911 +2025-07-02 19:11:19,095 - pyskl - INFO - Epoch [112][100/1178] lr: 3.927e-03, eta: 2:03:56, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1724, loss: 0.1724 +2025-07-02 19:11:34,682 - pyskl - INFO - Epoch [112][200/1178] lr: 3.911e-03, eta: 2:03:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1512, loss: 0.1512 +2025-07-02 19:11:50,229 - pyskl - INFO - Epoch [112][300/1178] lr: 3.895e-03, eta: 2:03:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1636, loss: 0.1636 +2025-07-02 19:12:05,907 - pyskl - INFO - Epoch [112][400/1178] lr: 3.879e-03, eta: 2:03:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 19:12:21,537 - pyskl - INFO - Epoch [112][500/1178] lr: 3.863e-03, eta: 2:02:50, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1753, loss: 0.1753 +2025-07-02 19:12:37,087 - pyskl - INFO - Epoch [112][600/1178] lr: 3.847e-03, eta: 2:02:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1927, loss: 0.1927 +2025-07-02 19:12:52,590 - pyskl - INFO - Epoch [112][700/1178] lr: 3.831e-03, eta: 2:02:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1463, loss: 0.1463 +2025-07-02 19:13:08,096 - pyskl - INFO - Epoch [112][800/1178] lr: 3.815e-03, eta: 2:02:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1479, loss: 0.1479 +2025-07-02 19:13:23,534 - pyskl - INFO - Epoch [112][900/1178] lr: 3.799e-03, eta: 2:01:44, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1487, loss: 0.1487 +2025-07-02 19:13:39,027 - pyskl - INFO - Epoch [112][1000/1178] lr: 3.783e-03, eta: 2:01:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1627, loss: 0.1627 +2025-07-02 19:13:54,583 - pyskl - INFO - Epoch [112][1100/1178] lr: 3.767e-03, eta: 2:01:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 19:14:07,299 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 19:14:30,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:14:30,357 - pyskl - INFO - +top1_acc 0.9094 +top5_acc 0.9937 +2025-07-02 19:14:30,358 - pyskl - INFO - Epoch(val) [112][169] top1_acc: 0.9094, top5_acc: 0.9937 +2025-07-02 19:15:06,845 - pyskl - INFO - Epoch [113][100/1178] lr: 3.739e-03, eta: 2:00:45, time: 0.365, data_time: 0.206, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1702, loss: 0.1702 +2025-07-02 19:15:22,302 - pyskl - INFO - Epoch [113][200/1178] lr: 3.723e-03, eta: 2:00:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1651, loss: 0.1651 +2025-07-02 19:15:37,825 - pyskl - INFO - Epoch [113][300/1178] lr: 3.707e-03, eta: 2:00:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1755, loss: 0.1755 +2025-07-02 19:15:53,374 - pyskl - INFO - Epoch [113][400/1178] lr: 3.691e-03, eta: 1:59:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1341, loss: 0.1341 +2025-07-02 19:16:08,905 - pyskl - INFO - Epoch [113][500/1178] lr: 3.675e-03, eta: 1:59:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1658, loss: 0.1658 +2025-07-02 19:16:24,450 - pyskl - INFO - Epoch [113][600/1178] lr: 3.660e-03, eta: 1:59:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1496, loss: 0.1496 +2025-07-02 19:16:40,042 - pyskl - INFO - Epoch [113][700/1178] lr: 3.644e-03, eta: 1:59:06, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1511, loss: 0.1511 +2025-07-02 19:16:55,587 - pyskl - INFO - Epoch [113][800/1178] lr: 3.628e-03, eta: 1:58:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1507, loss: 0.1507 +2025-07-02 19:17:11,156 - pyskl - INFO - Epoch [113][900/1178] lr: 3.613e-03, eta: 1:58:33, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1615, loss: 0.1615 +2025-07-02 19:17:26,740 - pyskl - INFO - Epoch [113][1000/1178] lr: 3.597e-03, eta: 1:58:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1439, loss: 0.1439 +2025-07-02 19:17:42,335 - pyskl - INFO - Epoch [113][1100/1178] lr: 3.581e-03, eta: 1:58:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1576, loss: 0.1576 +2025-07-02 19:17:55,023 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 19:18:18,287 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:18:18,298 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9926 +2025-07-02 19:18:18,298 - pyskl - INFO - Epoch(val) [113][169] top1_acc: 0.9190, top5_acc: 0.9926 +2025-07-02 19:18:55,287 - pyskl - INFO - Epoch [114][100/1178] lr: 3.554e-03, eta: 1:57:34, time: 0.370, data_time: 0.210, memory: 3566, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1690, loss: 0.1690 +2025-07-02 19:19:10,908 - pyskl - INFO - Epoch [114][200/1178] lr: 3.538e-03, eta: 1:57:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1613, loss: 0.1613 +2025-07-02 19:19:26,457 - pyskl - INFO - Epoch [114][300/1178] lr: 3.523e-03, eta: 1:57:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1236, loss: 0.1236 +2025-07-02 19:19:41,903 - pyskl - INFO - Epoch [114][400/1178] lr: 3.507e-03, eta: 1:56:45, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 19:19:57,366 - pyskl - INFO - Epoch [114][500/1178] lr: 3.492e-03, eta: 1:56:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1182, loss: 0.1182 +2025-07-02 19:20:12,912 - pyskl - INFO - Epoch [114][600/1178] lr: 3.476e-03, eta: 1:56:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1390, loss: 0.1390 +2025-07-02 19:20:28,498 - pyskl - INFO - Epoch [114][700/1178] lr: 3.461e-03, eta: 1:55:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1357, loss: 0.1357 +2025-07-02 19:20:44,092 - pyskl - INFO - Epoch [114][800/1178] lr: 3.446e-03, eta: 1:55:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1336, loss: 0.1336 +2025-07-02 19:20:59,578 - pyskl - INFO - Epoch [114][900/1178] lr: 3.430e-03, eta: 1:55:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1415, loss: 0.1415 +2025-07-02 19:21:15,286 - pyskl - INFO - Epoch [114][1000/1178] lr: 3.415e-03, eta: 1:55:06, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1627, loss: 0.1627 +2025-07-02 19:21:30,825 - pyskl - INFO - Epoch [114][1100/1178] lr: 3.400e-03, eta: 1:54:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1546, loss: 0.1546 +2025-07-02 19:21:43,415 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 19:22:06,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:22:06,261 - pyskl - INFO - +top1_acc 0.9216 +top5_acc 0.9941 +2025-07-02 19:22:06,262 - pyskl - INFO - Epoch(val) [114][169] top1_acc: 0.9216, top5_acc: 0.9941 +2025-07-02 19:22:43,504 - pyskl - INFO - Epoch [115][100/1178] lr: 3.373e-03, eta: 1:54:24, time: 0.372, data_time: 0.214, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1620, loss: 0.1620 +2025-07-02 19:22:58,978 - pyskl - INFO - Epoch [115][200/1178] lr: 3.358e-03, eta: 1:54:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1383, loss: 0.1383 +2025-07-02 19:23:14,403 - pyskl - INFO - Epoch [115][300/1178] lr: 3.343e-03, eta: 1:53:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1394, loss: 0.1394 +2025-07-02 19:23:29,846 - pyskl - INFO - Epoch [115][400/1178] lr: 3.327e-03, eta: 1:53:34, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 19:23:45,300 - pyskl - INFO - Epoch [115][500/1178] lr: 3.312e-03, eta: 1:53:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1406, loss: 0.1406 +2025-07-02 19:24:00,777 - pyskl - INFO - Epoch [115][600/1178] lr: 3.297e-03, eta: 1:53:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 19:24:16,228 - pyskl - INFO - Epoch [115][700/1178] lr: 3.282e-03, eta: 1:52:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1453, loss: 0.1453 +2025-07-02 19:24:31,743 - pyskl - INFO - Epoch [115][800/1178] lr: 3.267e-03, eta: 1:52:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1542, loss: 0.1542 +2025-07-02 19:24:47,302 - pyskl - INFO - Epoch [115][900/1178] lr: 3.252e-03, eta: 1:52:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1338, loss: 0.1338 +2025-07-02 19:25:02,940 - pyskl - INFO - Epoch [115][1000/1178] lr: 3.237e-03, eta: 1:51:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1135, loss: 0.1135 +2025-07-02 19:25:18,471 - pyskl - INFO - Epoch [115][1100/1178] lr: 3.222e-03, eta: 1:51:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1482, loss: 0.1482 +2025-07-02 19:25:31,076 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 19:25:53,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:25:53,832 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9937 +2025-07-02 19:25:53,836 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_108.pth was removed +2025-07-02 19:25:53,950 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2025-07-02 19:25:53,950 - pyskl - INFO - Best top1_acc is 0.9331 at 115 epoch. +2025-07-02 19:25:53,951 - pyskl - INFO - Epoch(val) [115][169] top1_acc: 0.9331, top5_acc: 0.9937 +2025-07-02 19:26:31,153 - pyskl - INFO - Epoch [116][100/1178] lr: 3.196e-03, eta: 1:51:13, time: 0.372, data_time: 0.213, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1182, loss: 0.1182 +2025-07-02 19:26:46,766 - pyskl - INFO - Epoch [116][200/1178] lr: 3.181e-03, eta: 1:50:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1524, loss: 0.1524 +2025-07-02 19:27:02,232 - pyskl - INFO - Epoch [116][300/1178] lr: 3.166e-03, eta: 1:50:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1261, loss: 0.1261 +2025-07-02 19:27:17,722 - pyskl - INFO - Epoch [116][400/1178] lr: 3.152e-03, eta: 1:50:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1358, loss: 0.1358 +2025-07-02 19:27:33,213 - pyskl - INFO - Epoch [116][500/1178] lr: 3.137e-03, eta: 1:50:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1122, loss: 0.1122 +2025-07-02 19:27:48,745 - pyskl - INFO - Epoch [116][600/1178] lr: 3.122e-03, eta: 1:49:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1266, loss: 0.1266 +2025-07-02 19:28:04,274 - pyskl - INFO - Epoch [116][700/1178] lr: 3.107e-03, eta: 1:49:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1576, loss: 0.1576 +2025-07-02 19:28:20,253 - pyskl - INFO - Epoch [116][800/1178] lr: 3.093e-03, eta: 1:49:18, time: 0.160, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 19:28:35,903 - pyskl - INFO - Epoch [116][900/1178] lr: 3.078e-03, eta: 1:49:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1244, loss: 0.1244 +2025-07-02 19:28:51,406 - pyskl - INFO - Epoch [116][1000/1178] lr: 3.064e-03, eta: 1:48:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1217, loss: 0.1217 +2025-07-02 19:29:06,933 - pyskl - INFO - Epoch [116][1100/1178] lr: 3.049e-03, eta: 1:48:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1185, loss: 0.1185 +2025-07-02 19:29:19,673 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 19:29:42,708 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:29:42,718 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9919 +2025-07-02 19:29:42,718 - pyskl - INFO - Epoch(val) [116][169] top1_acc: 0.9301, top5_acc: 0.9919 +2025-07-02 19:30:19,493 - pyskl - INFO - Epoch [117][100/1178] lr: 3.023e-03, eta: 1:48:02, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1311, loss: 0.1311 +2025-07-02 19:30:34,886 - pyskl - INFO - Epoch [117][200/1178] lr: 3.009e-03, eta: 1:47:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1216, loss: 0.1216 +2025-07-02 19:30:50,295 - pyskl - INFO - Epoch [117][300/1178] lr: 2.994e-03, eta: 1:47:29, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1140, loss: 0.1140 +2025-07-02 19:31:05,760 - pyskl - INFO - Epoch [117][400/1178] lr: 2.980e-03, eta: 1:47:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1071, loss: 0.1071 +2025-07-02 19:31:21,268 - pyskl - INFO - Epoch [117][500/1178] lr: 2.965e-03, eta: 1:46:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1150, loss: 0.1150 +2025-07-02 19:31:36,775 - pyskl - INFO - Epoch [117][600/1178] lr: 2.951e-03, eta: 1:46:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1357, loss: 0.1357 +2025-07-02 19:31:52,264 - pyskl - INFO - Epoch [117][700/1178] lr: 2.937e-03, eta: 1:46:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 19:32:07,761 - pyskl - INFO - Epoch [117][800/1178] lr: 2.922e-03, eta: 1:46:07, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 19:32:23,265 - pyskl - INFO - Epoch [117][900/1178] lr: 2.908e-03, eta: 1:45:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 19:32:38,967 - pyskl - INFO - Epoch [117][1000/1178] lr: 2.894e-03, eta: 1:45:34, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1341, loss: 0.1341 +2025-07-02 19:32:54,626 - pyskl - INFO - Epoch [117][1100/1178] lr: 2.880e-03, eta: 1:45:18, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1159, loss: 0.1159 +2025-07-02 19:33:07,339 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 19:33:30,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:33:30,389 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9933 +2025-07-02 19:33:30,390 - pyskl - INFO - Epoch(val) [117][169] top1_acc: 0.9112, top5_acc: 0.9933 +2025-07-02 19:34:07,080 - pyskl - INFO - Epoch [118][100/1178] lr: 2.855e-03, eta: 1:44:51, time: 0.367, data_time: 0.209, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1123, loss: 0.1123 +2025-07-02 19:34:22,766 - pyskl - INFO - Epoch [118][200/1178] lr: 2.840e-03, eta: 1:44:35, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 19:34:38,372 - pyskl - INFO - Epoch [118][300/1178] lr: 2.826e-03, eta: 1:44:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1407, loss: 0.1407 +2025-07-02 19:34:54,008 - pyskl - INFO - Epoch [118][400/1178] lr: 2.812e-03, eta: 1:44:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1418, loss: 0.1418 +2025-07-02 19:35:09,626 - pyskl - INFO - Epoch [118][500/1178] lr: 2.798e-03, eta: 1:43:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1312, loss: 0.1312 +2025-07-02 19:35:25,283 - pyskl - INFO - Epoch [118][600/1178] lr: 2.784e-03, eta: 1:43:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1495, loss: 0.1495 +2025-07-02 19:35:40,885 - pyskl - INFO - Epoch [118][700/1178] lr: 2.770e-03, eta: 1:43:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1017, loss: 0.1017 +2025-07-02 19:35:56,564 - pyskl - INFO - Epoch [118][800/1178] lr: 2.756e-03, eta: 1:42:57, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 19:36:12,162 - pyskl - INFO - Epoch [118][900/1178] lr: 2.742e-03, eta: 1:42:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 19:36:27,786 - pyskl - INFO - Epoch [118][1000/1178] lr: 2.729e-03, eta: 1:42:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1186, loss: 0.1186 +2025-07-02 19:36:43,352 - pyskl - INFO - Epoch [118][1100/1178] lr: 2.715e-03, eta: 1:42:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1151, loss: 0.1151 +2025-07-02 19:36:55,976 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 19:37:19,322 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:37:19,332 - pyskl - INFO - +top1_acc 0.9197 +top5_acc 0.9911 +2025-07-02 19:37:19,333 - pyskl - INFO - Epoch(val) [118][169] top1_acc: 0.9197, top5_acc: 0.9911 +2025-07-02 19:37:56,022 - pyskl - INFO - Epoch [119][100/1178] lr: 2.690e-03, eta: 1:41:41, time: 0.367, data_time: 0.208, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1145, loss: 0.1145 +2025-07-02 19:38:11,700 - pyskl - INFO - Epoch [119][200/1178] lr: 2.676e-03, eta: 1:41:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0899, loss: 0.0899 +2025-07-02 19:38:27,276 - pyskl - INFO - Epoch [119][300/1178] lr: 2.663e-03, eta: 1:41:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 19:38:42,715 - pyskl - INFO - Epoch [119][400/1178] lr: 2.649e-03, eta: 1:40:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 19:38:58,156 - pyskl - INFO - Epoch [119][500/1178] lr: 2.635e-03, eta: 1:40:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1230, loss: 0.1230 +2025-07-02 19:39:13,721 - pyskl - INFO - Epoch [119][600/1178] lr: 2.622e-03, eta: 1:40:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 19:39:29,339 - pyskl - INFO - Epoch [119][700/1178] lr: 2.608e-03, eta: 1:40:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1102, loss: 0.1102 +2025-07-02 19:39:44,935 - pyskl - INFO - Epoch [119][800/1178] lr: 2.595e-03, eta: 1:39:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1155, loss: 0.1155 +2025-07-02 19:40:00,588 - pyskl - INFO - Epoch [119][900/1178] lr: 2.581e-03, eta: 1:39:29, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0939, loss: 0.0939 +2025-07-02 19:40:16,129 - pyskl - INFO - Epoch [119][1000/1178] lr: 2.567e-03, eta: 1:39:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 19:40:31,728 - pyskl - INFO - Epoch [119][1100/1178] lr: 2.554e-03, eta: 1:38:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1072, loss: 0.1072 +2025-07-02 19:40:44,356 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 19:41:07,242 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:41:07,252 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9919 +2025-07-02 19:41:07,252 - pyskl - INFO - Epoch(val) [119][169] top1_acc: 0.9231, top5_acc: 0.9919 +2025-07-02 19:41:44,129 - pyskl - INFO - Epoch [120][100/1178] lr: 2.530e-03, eta: 1:38:30, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0991, loss: 0.0991 +2025-07-02 19:41:59,723 - pyskl - INFO - Epoch [120][200/1178] lr: 2.517e-03, eta: 1:38:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1358, loss: 0.1358 +2025-07-02 19:42:15,314 - pyskl - INFO - Epoch [120][300/1178] lr: 2.503e-03, eta: 1:37:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 19:42:30,950 - pyskl - INFO - Epoch [120][400/1178] lr: 2.490e-03, eta: 1:37:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0876, loss: 0.0876 +2025-07-02 19:42:46,575 - pyskl - INFO - Epoch [120][500/1178] lr: 2.477e-03, eta: 1:37:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0897, loss: 0.0897 +2025-07-02 19:43:02,123 - pyskl - INFO - Epoch [120][600/1178] lr: 2.463e-03, eta: 1:37:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 19:43:17,659 - pyskl - INFO - Epoch [120][700/1178] lr: 2.450e-03, eta: 1:36:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0836, loss: 0.0836 +2025-07-02 19:43:33,190 - pyskl - INFO - Epoch [120][800/1178] lr: 2.437e-03, eta: 1:36:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1191, loss: 0.1191 +2025-07-02 19:43:48,763 - pyskl - INFO - Epoch [120][900/1178] lr: 2.424e-03, eta: 1:36:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 19:44:04,330 - pyskl - INFO - Epoch [120][1000/1178] lr: 2.411e-03, eta: 1:36:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.1054, loss: 0.1054 +2025-07-02 19:44:19,878 - pyskl - INFO - Epoch [120][1100/1178] lr: 2.398e-03, eta: 1:35:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 19:44:32,542 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 19:44:55,529 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:44:55,539 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9933 +2025-07-02 19:44:55,539 - pyskl - INFO - Epoch(val) [120][169] top1_acc: 0.9257, top5_acc: 0.9933 +2025-07-02 19:45:32,475 - pyskl - INFO - Epoch [121][100/1178] lr: 2.374e-03, eta: 1:35:19, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0932, loss: 0.0932 +2025-07-02 19:45:48,277 - pyskl - INFO - Epoch [121][200/1178] lr: 2.361e-03, eta: 1:35:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0979, loss: 0.0979 +2025-07-02 19:46:03,783 - pyskl - INFO - Epoch [121][300/1178] lr: 2.348e-03, eta: 1:34:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.1001, loss: 0.1001 +2025-07-02 19:46:19,333 - pyskl - INFO - Epoch [121][400/1178] lr: 2.335e-03, eta: 1:34:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 19:46:34,863 - pyskl - INFO - Epoch [121][500/1178] lr: 2.323e-03, eta: 1:34:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1117, loss: 0.1117 +2025-07-02 19:46:50,448 - pyskl - INFO - Epoch [121][600/1178] lr: 2.310e-03, eta: 1:33:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0811, loss: 0.0811 +2025-07-02 19:47:06,036 - pyskl - INFO - Epoch [121][700/1178] lr: 2.297e-03, eta: 1:33:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1153, loss: 0.1153 +2025-07-02 19:47:21,661 - pyskl - INFO - Epoch [121][800/1178] lr: 2.284e-03, eta: 1:33:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 19:47:37,241 - pyskl - INFO - Epoch [121][900/1178] lr: 2.271e-03, eta: 1:33:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0838, loss: 0.0838 +2025-07-02 19:47:52,840 - pyskl - INFO - Epoch [121][1000/1178] lr: 2.258e-03, eta: 1:32:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1138, loss: 0.1138 +2025-07-02 19:48:08,446 - pyskl - INFO - Epoch [121][1100/1178] lr: 2.246e-03, eta: 1:32:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0889, loss: 0.0889 +2025-07-02 19:48:21,157 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 19:48:44,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:48:44,039 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9933 +2025-07-02 19:48:44,039 - pyskl - INFO - Epoch(val) [121][169] top1_acc: 0.9297, top5_acc: 0.9933 +2025-07-02 19:49:20,860 - pyskl - INFO - Epoch [122][100/1178] lr: 2.223e-03, eta: 1:32:08, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0894, loss: 0.0894 +2025-07-02 19:49:36,532 - pyskl - INFO - Epoch [122][200/1178] lr: 2.210e-03, eta: 1:31:52, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0943, loss: 0.0943 +2025-07-02 19:49:52,169 - pyskl - INFO - Epoch [122][300/1178] lr: 2.198e-03, eta: 1:31:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1056, loss: 0.1056 +2025-07-02 19:50:07,707 - pyskl - INFO - Epoch [122][400/1178] lr: 2.185e-03, eta: 1:31:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0958, loss: 0.0958 +2025-07-02 19:50:23,210 - pyskl - INFO - Epoch [122][500/1178] lr: 2.173e-03, eta: 1:31:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1114, loss: 0.1114 +2025-07-02 19:50:38,675 - pyskl - INFO - Epoch [122][600/1178] lr: 2.160e-03, eta: 1:30:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1177, loss: 0.1177 +2025-07-02 19:50:54,190 - pyskl - INFO - Epoch [122][700/1178] lr: 2.148e-03, eta: 1:30:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0838, loss: 0.0838 +2025-07-02 19:51:09,776 - pyskl - INFO - Epoch [122][800/1178] lr: 2.135e-03, eta: 1:30:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0902, loss: 0.0902 +2025-07-02 19:51:25,309 - pyskl - INFO - Epoch [122][900/1178] lr: 2.123e-03, eta: 1:29:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 19:51:40,998 - pyskl - INFO - Epoch [122][1000/1178] lr: 2.111e-03, eta: 1:29:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 19:51:56,705 - pyskl - INFO - Epoch [122][1100/1178] lr: 2.098e-03, eta: 1:29:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1423, loss: 0.1423 +2025-07-02 19:52:09,392 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 19:52:32,250 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:52:32,260 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9900 +2025-07-02 19:52:32,260 - pyskl - INFO - Epoch(val) [122][169] top1_acc: 0.9286, top5_acc: 0.9900 +2025-07-02 19:53:09,708 - pyskl - INFO - Epoch [123][100/1178] lr: 2.076e-03, eta: 1:28:57, time: 0.374, data_time: 0.216, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0968, loss: 0.0968 +2025-07-02 19:53:25,360 - pyskl - INFO - Epoch [123][200/1178] lr: 2.064e-03, eta: 1:28:41, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 19:53:40,998 - pyskl - INFO - Epoch [123][300/1178] lr: 2.052e-03, eta: 1:28:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0768, loss: 0.0768 +2025-07-02 19:53:56,463 - pyskl - INFO - Epoch [123][400/1178] lr: 2.040e-03, eta: 1:28:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0856, loss: 0.0856 +2025-07-02 19:54:11,912 - pyskl - INFO - Epoch [123][500/1178] lr: 2.028e-03, eta: 1:27:52, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0921, loss: 0.0921 +2025-07-02 19:54:27,526 - pyskl - INFO - Epoch [123][600/1178] lr: 2.015e-03, eta: 1:27:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1151, loss: 0.1151 +2025-07-02 19:54:43,084 - pyskl - INFO - Epoch [123][700/1178] lr: 2.003e-03, eta: 1:27:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0916, loss: 0.0916 +2025-07-02 19:54:58,855 - pyskl - INFO - Epoch [123][800/1178] lr: 1.991e-03, eta: 1:27:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0906, loss: 0.0906 +2025-07-02 19:55:14,348 - pyskl - INFO - Epoch [123][900/1178] lr: 1.979e-03, eta: 1:26:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0965, loss: 0.0965 +2025-07-02 19:55:29,786 - pyskl - INFO - Epoch [123][1000/1178] lr: 1.967e-03, eta: 1:26:30, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0968, loss: 0.0968 +2025-07-02 19:55:45,534 - pyskl - INFO - Epoch [123][1100/1178] lr: 1.955e-03, eta: 1:26:14, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0983, loss: 0.0983 +2025-07-02 19:55:58,293 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 19:56:20,998 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 19:56:21,008 - pyskl - INFO - +top1_acc 0.9345 +top5_acc 0.9922 +2025-07-02 19:56:21,014 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_115.pth was removed +2025-07-02 19:56:21,129 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2025-07-02 19:56:21,130 - pyskl - INFO - Best top1_acc is 0.9345 at 123 epoch. +2025-07-02 19:56:21,131 - pyskl - INFO - Epoch(val) [123][169] top1_acc: 0.9345, top5_acc: 0.9922 +2025-07-02 19:56:57,922 - pyskl - INFO - Epoch [124][100/1178] lr: 1.934e-03, eta: 1:25:47, time: 0.368, data_time: 0.209, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1157, loss: 0.1157 +2025-07-02 19:57:13,690 - pyskl - INFO - Epoch [124][200/1178] lr: 1.922e-03, eta: 1:25:30, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0851, loss: 0.0851 +2025-07-02 19:57:29,286 - pyskl - INFO - Epoch [124][300/1178] lr: 1.910e-03, eta: 1:25:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 19:57:44,867 - pyskl - INFO - Epoch [124][400/1178] lr: 1.899e-03, eta: 1:24:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 19:58:00,422 - pyskl - INFO - Epoch [124][500/1178] lr: 1.887e-03, eta: 1:24:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 19:58:16,030 - pyskl - INFO - Epoch [124][600/1178] lr: 1.875e-03, eta: 1:24:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0922, loss: 0.0922 +2025-07-02 19:58:31,642 - pyskl - INFO - Epoch [124][700/1178] lr: 1.863e-03, eta: 1:24:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 19:58:47,240 - pyskl - INFO - Epoch [124][800/1178] lr: 1.852e-03, eta: 1:23:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 19:59:02,842 - pyskl - INFO - Epoch [124][900/1178] lr: 1.840e-03, eta: 1:23:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 19:59:18,427 - pyskl - INFO - Epoch [124][1000/1178] lr: 1.829e-03, eta: 1:23:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0904, loss: 0.0904 +2025-07-02 19:59:34,030 - pyskl - INFO - Epoch [124][1100/1178] lr: 1.817e-03, eta: 1:23:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0744, loss: 0.0744 +2025-07-02 19:59:46,969 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 20:00:09,677 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:00:09,687 - pyskl - INFO - +top1_acc 0.9223 +top5_acc 0.9926 +2025-07-02 20:00:09,688 - pyskl - INFO - Epoch(val) [124][169] top1_acc: 0.9223, top5_acc: 0.9926 +2025-07-02 20:00:46,269 - pyskl - INFO - Epoch [125][100/1178] lr: 1.797e-03, eta: 1:22:36, time: 0.366, data_time: 0.208, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 20:01:01,728 - pyskl - INFO - Epoch [125][200/1178] lr: 1.785e-03, eta: 1:22:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0798, loss: 0.0798 +2025-07-02 20:01:17,170 - pyskl - INFO - Epoch [125][300/1178] lr: 1.774e-03, eta: 1:22:03, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0578, loss: 0.0578 +2025-07-02 20:01:32,605 - pyskl - INFO - Epoch [125][400/1178] lr: 1.762e-03, eta: 1:21:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0711, loss: 0.0711 +2025-07-02 20:01:48,056 - pyskl - INFO - Epoch [125][500/1178] lr: 1.751e-03, eta: 1:21:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0698, loss: 0.0698 +2025-07-02 20:02:03,601 - pyskl - INFO - Epoch [125][600/1178] lr: 1.740e-03, eta: 1:21:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 20:02:19,206 - pyskl - INFO - Epoch [125][700/1178] lr: 1.728e-03, eta: 1:20:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 20:02:34,816 - pyskl - INFO - Epoch [125][800/1178] lr: 1.717e-03, eta: 1:20:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 20:02:50,443 - pyskl - INFO - Epoch [125][900/1178] lr: 1.706e-03, eta: 1:20:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0718, loss: 0.0718 +2025-07-02 20:03:05,998 - pyskl - INFO - Epoch [125][1000/1178] lr: 1.695e-03, eta: 1:20:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 +2025-07-02 20:03:21,506 - pyskl - INFO - Epoch [125][1100/1178] lr: 1.683e-03, eta: 1:19:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1148, loss: 0.1148 +2025-07-02 20:03:34,217 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 20:03:57,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:03:57,030 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9915 +2025-07-02 20:03:57,030 - pyskl - INFO - Epoch(val) [125][169] top1_acc: 0.9249, top5_acc: 0.9915 +2025-07-02 20:04:34,095 - pyskl - INFO - Epoch [126][100/1178] lr: 1.664e-03, eta: 1:19:25, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0795, loss: 0.0795 +2025-07-02 20:04:49,818 - pyskl - INFO - Epoch [126][200/1178] lr: 1.653e-03, eta: 1:19:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 20:05:05,369 - pyskl - INFO - Epoch [126][300/1178] lr: 1.642e-03, eta: 1:18:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 20:05:20,865 - pyskl - INFO - Epoch [126][400/1178] lr: 1.631e-03, eta: 1:18:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 20:05:36,355 - pyskl - INFO - Epoch [126][500/1178] lr: 1.620e-03, eta: 1:18:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0936, loss: 0.0936 +2025-07-02 20:05:51,888 - pyskl - INFO - Epoch [126][600/1178] lr: 1.609e-03, eta: 1:18:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0787, loss: 0.0787 +2025-07-02 20:06:07,553 - pyskl - INFO - Epoch [126][700/1178] lr: 1.598e-03, eta: 1:17:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 20:06:23,245 - pyskl - INFO - Epoch [126][800/1178] lr: 1.587e-03, eta: 1:17:30, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0873, loss: 0.0873 +2025-07-02 20:06:38,831 - pyskl - INFO - Epoch [126][900/1178] lr: 1.576e-03, eta: 1:17:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0782, loss: 0.0782 +2025-07-02 20:06:54,320 - pyskl - INFO - Epoch [126][1000/1178] lr: 1.565e-03, eta: 1:16:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 20:07:09,887 - pyskl - INFO - Epoch [126][1100/1178] lr: 1.555e-03, eta: 1:16:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 20:07:22,578 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 20:07:45,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:07:45,649 - pyskl - INFO - +top1_acc 0.9209 +top5_acc 0.9919 +2025-07-02 20:07:45,649 - pyskl - INFO - Epoch(val) [126][169] top1_acc: 0.9209, top5_acc: 0.9919 +2025-07-02 20:08:23,337 - pyskl - INFO - Epoch [127][100/1178] lr: 1.536e-03, eta: 1:16:14, time: 0.377, data_time: 0.217, memory: 3566, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0738, loss: 0.0738 +2025-07-02 20:08:38,916 - pyskl - INFO - Epoch [127][200/1178] lr: 1.525e-03, eta: 1:15:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 20:08:54,411 - pyskl - INFO - Epoch [127][300/1178] lr: 1.514e-03, eta: 1:15:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 20:09:09,931 - pyskl - INFO - Epoch [127][400/1178] lr: 1.504e-03, eta: 1:15:25, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 20:09:25,466 - pyskl - INFO - Epoch [127][500/1178] lr: 1.493e-03, eta: 1:15:08, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 20:09:40,982 - pyskl - INFO - Epoch [127][600/1178] lr: 1.483e-03, eta: 1:14:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 20:09:56,905 - pyskl - INFO - Epoch [127][700/1178] lr: 1.472e-03, eta: 1:14:36, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 20:10:12,655 - pyskl - INFO - Epoch [127][800/1178] lr: 1.462e-03, eta: 1:14:19, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 20:10:28,477 - pyskl - INFO - Epoch [127][900/1178] lr: 1.451e-03, eta: 1:14:03, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0662, loss: 0.0662 +2025-07-02 20:10:44,167 - pyskl - INFO - Epoch [127][1000/1178] lr: 1.441e-03, eta: 1:13:47, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0640, loss: 0.0640 +2025-07-02 20:10:59,622 - pyskl - INFO - Epoch [127][1100/1178] lr: 1.431e-03, eta: 1:13:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 20:11:12,247 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 20:11:35,291 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:11:35,301 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9941 +2025-07-02 20:11:35,302 - pyskl - INFO - Epoch(val) [127][169] top1_acc: 0.9308, top5_acc: 0.9941 +2025-07-02 20:12:12,415 - pyskl - INFO - Epoch [128][100/1178] lr: 1.412e-03, eta: 1:13:03, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 20:12:28,013 - pyskl - INFO - Epoch [128][200/1178] lr: 1.402e-03, eta: 1:12:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0710, loss: 0.0710 +2025-07-02 20:12:43,511 - pyskl - INFO - Epoch [128][300/1178] lr: 1.392e-03, eta: 1:12:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 20:12:58,977 - pyskl - INFO - Epoch [128][400/1178] lr: 1.382e-03, eta: 1:12:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0725, loss: 0.0725 +2025-07-02 20:13:14,452 - pyskl - INFO - Epoch [128][500/1178] lr: 1.372e-03, eta: 1:11:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 20:13:29,917 - pyskl - INFO - Epoch [128][600/1178] lr: 1.361e-03, eta: 1:11:41, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 20:13:45,473 - pyskl - INFO - Epoch [128][700/1178] lr: 1.351e-03, eta: 1:11:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 20:14:01,075 - pyskl - INFO - Epoch [128][800/1178] lr: 1.341e-03, eta: 1:11:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 20:14:16,851 - pyskl - INFO - Epoch [128][900/1178] lr: 1.331e-03, eta: 1:10:52, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 20:14:32,523 - pyskl - INFO - Epoch [128][1000/1178] lr: 1.321e-03, eta: 1:10:36, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.0988, loss: 0.0988 +2025-07-02 20:14:48,127 - pyskl - INFO - Epoch [128][1100/1178] lr: 1.311e-03, eta: 1:10:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 20:15:00,916 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 20:15:24,080 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:15:24,090 - pyskl - INFO - +top1_acc 0.9301 +top5_acc 0.9930 +2025-07-02 20:15:24,090 - pyskl - INFO - Epoch(val) [128][169] top1_acc: 0.9301, top5_acc: 0.9930 +2025-07-02 20:16:01,043 - pyskl - INFO - Epoch [129][100/1178] lr: 1.294e-03, eta: 1:09:52, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0785, loss: 0.0785 +2025-07-02 20:16:16,799 - pyskl - INFO - Epoch [129][200/1178] lr: 1.284e-03, eta: 1:09:35, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0731, loss: 0.0731 +2025-07-02 20:16:32,268 - pyskl - INFO - Epoch [129][300/1178] lr: 1.274e-03, eta: 1:09:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 20:16:47,749 - pyskl - INFO - Epoch [129][400/1178] lr: 1.264e-03, eta: 1:09:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0649, loss: 0.0649 +2025-07-02 20:17:03,234 - pyskl - INFO - Epoch [129][500/1178] lr: 1.255e-03, eta: 1:08:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 20:17:18,717 - pyskl - INFO - Epoch [129][600/1178] lr: 1.245e-03, eta: 1:08:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 20:17:34,279 - pyskl - INFO - Epoch [129][700/1178] lr: 1.235e-03, eta: 1:08:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 20:17:49,852 - pyskl - INFO - Epoch [129][800/1178] lr: 1.226e-03, eta: 1:07:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 20:18:05,445 - pyskl - INFO - Epoch [129][900/1178] lr: 1.216e-03, eta: 1:07:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0825, loss: 0.0825 +2025-07-02 20:18:21,266 - pyskl - INFO - Epoch [129][1000/1178] lr: 1.207e-03, eta: 1:07:25, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0636, loss: 0.0636 +2025-07-02 20:18:36,987 - pyskl - INFO - Epoch [129][1100/1178] lr: 1.197e-03, eta: 1:07:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0614, loss: 0.0614 +2025-07-02 20:18:49,745 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 20:19:12,616 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:19:12,626 - pyskl - INFO - +top1_acc 0.9353 +top5_acc 0.9908 +2025-07-02 20:19:12,630 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_123.pth was removed +2025-07-02 20:19:12,741 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 20:19:12,741 - pyskl - INFO - Best top1_acc is 0.9353 at 129 epoch. +2025-07-02 20:19:12,742 - pyskl - INFO - Epoch(val) [129][169] top1_acc: 0.9353, top5_acc: 0.9908 +2025-07-02 20:19:49,585 - pyskl - INFO - Epoch [130][100/1178] lr: 1.180e-03, eta: 1:06:41, time: 0.368, data_time: 0.210, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 20:20:05,222 - pyskl - INFO - Epoch [130][200/1178] lr: 1.171e-03, eta: 1:06:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 20:20:20,850 - pyskl - INFO - Epoch [130][300/1178] lr: 1.162e-03, eta: 1:06:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 20:20:36,483 - pyskl - INFO - Epoch [130][400/1178] lr: 1.152e-03, eta: 1:05:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0581, loss: 0.0581 +2025-07-02 20:20:52,090 - pyskl - INFO - Epoch [130][500/1178] lr: 1.143e-03, eta: 1:05:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 20:21:07,648 - pyskl - INFO - Epoch [130][600/1178] lr: 1.134e-03, eta: 1:05:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0706, loss: 0.0706 +2025-07-02 20:21:23,184 - pyskl - INFO - Epoch [130][700/1178] lr: 1.124e-03, eta: 1:05:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 20:21:38,726 - pyskl - INFO - Epoch [130][800/1178] lr: 1.115e-03, eta: 1:04:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 20:21:54,339 - pyskl - INFO - Epoch [130][900/1178] lr: 1.106e-03, eta: 1:04:30, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 20:22:09,987 - pyskl - INFO - Epoch [130][1000/1178] lr: 1.097e-03, eta: 1:04:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0719, loss: 0.0719 +2025-07-02 20:22:25,764 - pyskl - INFO - Epoch [130][1100/1178] lr: 1.088e-03, eta: 1:03:57, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0544, loss: 0.0544 +2025-07-02 20:22:38,503 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 20:23:01,667 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:23:01,677 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9915 +2025-07-02 20:23:01,681 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_129.pth was removed +2025-07-02 20:23:01,802 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-07-02 20:23:01,803 - pyskl - INFO - Best top1_acc is 0.9357 at 130 epoch. +2025-07-02 20:23:01,803 - pyskl - INFO - Epoch(val) [130][169] top1_acc: 0.9357, top5_acc: 0.9915 +2025-07-02 20:23:38,943 - pyskl - INFO - Epoch [131][100/1178] lr: 1.072e-03, eta: 1:03:30, time: 0.371, data_time: 0.213, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 20:23:54,554 - pyskl - INFO - Epoch [131][200/1178] lr: 1.063e-03, eta: 1:03:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0655, loss: 0.0655 +2025-07-02 20:24:10,157 - pyskl - INFO - Epoch [131][300/1178] lr: 1.054e-03, eta: 1:02:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 20:24:25,742 - pyskl - INFO - Epoch [131][400/1178] lr: 1.045e-03, eta: 1:02:41, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 20:24:41,350 - pyskl - INFO - Epoch [131][500/1178] lr: 1.036e-03, eta: 1:02:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0668, loss: 0.0668 +2025-07-02 20:24:56,948 - pyskl - INFO - Epoch [131][600/1178] lr: 1.027e-03, eta: 1:02:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0904, loss: 0.0904 +2025-07-02 20:25:12,456 - pyskl - INFO - Epoch [131][700/1178] lr: 1.018e-03, eta: 1:01:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 20:25:27,903 - pyskl - INFO - Epoch [131][800/1178] lr: 1.010e-03, eta: 1:01:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 20:25:43,545 - pyskl - INFO - Epoch [131][900/1178] lr: 1.001e-03, eta: 1:01:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 20:25:59,239 - pyskl - INFO - Epoch [131][1000/1178] lr: 9.922e-04, eta: 1:01:03, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 20:26:14,923 - pyskl - INFO - Epoch [131][1100/1178] lr: 9.835e-04, eta: 1:00:46, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 20:26:27,716 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 20:26:50,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:26:50,804 - pyskl - INFO - +top1_acc 0.9375 +top5_acc 0.9930 +2025-07-02 20:26:50,807 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_130.pth was removed +2025-07-02 20:26:50,921 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 20:26:50,922 - pyskl - INFO - Best top1_acc is 0.9375 at 131 epoch. +2025-07-02 20:26:50,922 - pyskl - INFO - Epoch(val) [131][169] top1_acc: 0.9375, top5_acc: 0.9930 +2025-07-02 20:27:27,848 - pyskl - INFO - Epoch [132][100/1178] lr: 9.682e-04, eta: 1:00:19, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 20:27:43,322 - pyskl - INFO - Epoch [132][200/1178] lr: 9.596e-04, eta: 1:00:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 20:27:58,764 - pyskl - INFO - Epoch [132][300/1178] lr: 9.511e-04, eta: 0:59:46, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 20:28:14,221 - pyskl - INFO - Epoch [132][400/1178] lr: 9.426e-04, eta: 0:59:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 20:28:29,657 - pyskl - INFO - Epoch [132][500/1178] lr: 9.342e-04, eta: 0:59:13, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0580, loss: 0.0580 +2025-07-02 20:28:45,105 - pyskl - INFO - Epoch [132][600/1178] lr: 9.258e-04, eta: 0:58:57, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 20:29:00,553 - pyskl - INFO - Epoch [132][700/1178] lr: 9.174e-04, eta: 0:58:41, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 20:29:16,067 - pyskl - INFO - Epoch [132][800/1178] lr: 9.091e-04, eta: 0:58:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0668, loss: 0.0668 +2025-07-02 20:29:31,630 - pyskl - INFO - Epoch [132][900/1178] lr: 9.008e-04, eta: 0:58:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 20:29:47,207 - pyskl - INFO - Epoch [132][1000/1178] lr: 8.925e-04, eta: 0:57:52, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:30:02,822 - pyskl - INFO - Epoch [132][1100/1178] lr: 8.843e-04, eta: 0:57:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 20:30:15,427 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 20:30:38,385 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:30:38,395 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9937 +2025-07-02 20:30:38,399 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_131.pth was removed +2025-07-02 20:30:38,508 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2025-07-02 20:30:38,509 - pyskl - INFO - Best top1_acc is 0.9386 at 132 epoch. +2025-07-02 20:30:38,510 - pyskl - INFO - Epoch(val) [132][169] top1_acc: 0.9386, top5_acc: 0.9937 +2025-07-02 20:31:15,242 - pyskl - INFO - Epoch [133][100/1178] lr: 8.697e-04, eta: 0:57:07, time: 0.367, data_time: 0.210, memory: 3566, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0793, loss: 0.0793 +2025-07-02 20:31:30,689 - pyskl - INFO - Epoch [133][200/1178] lr: 8.616e-04, eta: 0:56:51, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 20:31:46,104 - pyskl - INFO - Epoch [133][300/1178] lr: 8.535e-04, eta: 0:56:35, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 20:32:01,532 - pyskl - INFO - Epoch [133][400/1178] lr: 8.454e-04, eta: 0:56:18, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 20:32:17,036 - pyskl - INFO - Epoch [133][500/1178] lr: 8.374e-04, eta: 0:56:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 20:32:32,497 - pyskl - INFO - Epoch [133][600/1178] lr: 8.294e-04, eta: 0:55:46, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 20:32:48,108 - pyskl - INFO - Epoch [133][700/1178] lr: 8.215e-04, eta: 0:55:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0633, loss: 0.0633 +2025-07-02 20:33:03,698 - pyskl - INFO - Epoch [133][800/1178] lr: 8.136e-04, eta: 0:55:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 20:33:19,322 - pyskl - INFO - Epoch [133][900/1178] lr: 8.057e-04, eta: 0:54:57, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0528, loss: 0.0528 +2025-07-02 20:33:34,983 - pyskl - INFO - Epoch [133][1000/1178] lr: 7.979e-04, eta: 0:54:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0570, loss: 0.0570 +2025-07-02 20:33:50,590 - pyskl - INFO - Epoch [133][1100/1178] lr: 7.901e-04, eta: 0:54:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 20:34:03,398 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 20:34:26,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:34:26,573 - pyskl - INFO - +top1_acc 0.9323 +top5_acc 0.9941 +2025-07-02 20:34:26,573 - pyskl - INFO - Epoch(val) [133][169] top1_acc: 0.9323, top5_acc: 0.9941 +2025-07-02 20:35:03,512 - pyskl - INFO - Epoch [134][100/1178] lr: 7.763e-04, eta: 0:53:56, time: 0.369, data_time: 0.211, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 20:35:19,072 - pyskl - INFO - Epoch [134][200/1178] lr: 7.686e-04, eta: 0:53:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 20:35:34,566 - pyskl - INFO - Epoch [134][300/1178] lr: 7.610e-04, eta: 0:53:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0521, loss: 0.0521 +2025-07-02 20:35:50,123 - pyskl - INFO - Epoch [134][400/1178] lr: 7.534e-04, eta: 0:53:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 20:36:05,596 - pyskl - INFO - Epoch [134][500/1178] lr: 7.458e-04, eta: 0:52:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0489, loss: 0.0489 +2025-07-02 20:36:21,110 - pyskl - INFO - Epoch [134][600/1178] lr: 7.382e-04, eta: 0:52:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 20:36:36,634 - pyskl - INFO - Epoch [134][700/1178] lr: 7.307e-04, eta: 0:52:18, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 20:36:52,131 - pyskl - INFO - Epoch [134][800/1178] lr: 7.233e-04, eta: 0:52:02, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 20:37:07,693 - pyskl - INFO - Epoch [134][900/1178] lr: 7.158e-04, eta: 0:51:45, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 20:37:23,321 - pyskl - INFO - Epoch [134][1000/1178] lr: 7.084e-04, eta: 0:51:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 20:37:38,902 - pyskl - INFO - Epoch [134][1100/1178] lr: 7.011e-04, eta: 0:51:13, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0494, loss: 0.0494 +2025-07-02 20:37:51,688 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 20:38:14,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:38:15,004 - pyskl - INFO - +top1_acc 0.9386 +top5_acc 0.9952 +2025-07-02 20:38:15,004 - pyskl - INFO - Epoch(val) [134][169] top1_acc: 0.9386, top5_acc: 0.9952 +2025-07-02 20:38:52,568 - pyskl - INFO - Epoch [135][100/1178] lr: 6.881e-04, eta: 0:50:45, time: 0.376, data_time: 0.217, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 20:39:08,145 - pyskl - INFO - Epoch [135][200/1178] lr: 6.808e-04, eta: 0:50:29, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 20:39:23,673 - pyskl - INFO - Epoch [135][300/1178] lr: 6.736e-04, eta: 0:50:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 20:39:39,194 - pyskl - INFO - Epoch [135][400/1178] lr: 6.664e-04, eta: 0:49:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 20:39:54,702 - pyskl - INFO - Epoch [135][500/1178] lr: 6.593e-04, eta: 0:49:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 20:40:10,237 - pyskl - INFO - Epoch [135][600/1178] lr: 6.522e-04, eta: 0:49:23, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 20:40:25,789 - pyskl - INFO - Epoch [135][700/1178] lr: 6.451e-04, eta: 0:49:07, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 20:40:41,301 - pyskl - INFO - Epoch [135][800/1178] lr: 6.381e-04, eta: 0:48:51, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 20:40:57,076 - pyskl - INFO - Epoch [135][900/1178] lr: 6.311e-04, eta: 0:48:34, time: 0.158, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0477, loss: 0.0477 +2025-07-02 20:41:12,678 - pyskl - INFO - Epoch [135][1000/1178] lr: 6.241e-04, eta: 0:48:18, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 20:41:28,229 - pyskl - INFO - Epoch [135][1100/1178] lr: 6.172e-04, eta: 0:48:02, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 20:41:40,970 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 20:42:03,524 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:42:03,534 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9941 +2025-07-02 20:42:03,534 - pyskl - INFO - Epoch(val) [135][169] top1_acc: 0.9382, top5_acc: 0.9941 +2025-07-02 20:42:40,495 - pyskl - INFO - Epoch [136][100/1178] lr: 6.050e-04, eta: 0:47:34, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 20:42:56,047 - pyskl - INFO - Epoch [136][200/1178] lr: 5.982e-04, eta: 0:47:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 20:43:11,544 - pyskl - INFO - Epoch [136][300/1178] lr: 5.914e-04, eta: 0:47:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 20:43:27,081 - pyskl - INFO - Epoch [136][400/1178] lr: 5.847e-04, eta: 0:46:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 20:43:42,642 - pyskl - INFO - Epoch [136][500/1178] lr: 5.780e-04, eta: 0:46:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 20:43:58,230 - pyskl - INFO - Epoch [136][600/1178] lr: 5.713e-04, eta: 0:46:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 20:44:13,790 - pyskl - INFO - Epoch [136][700/1178] lr: 5.647e-04, eta: 0:45:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 20:44:29,347 - pyskl - INFO - Epoch [136][800/1178] lr: 5.581e-04, eta: 0:45:40, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 20:44:45,008 - pyskl - INFO - Epoch [136][900/1178] lr: 5.516e-04, eta: 0:45:23, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 20:45:00,713 - pyskl - INFO - Epoch [136][1000/1178] lr: 5.451e-04, eta: 0:45:07, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 20:45:16,269 - pyskl - INFO - Epoch [136][1100/1178] lr: 5.386e-04, eta: 0:44:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 20:45:28,987 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 20:45:52,004 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:45:52,014 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9952 +2025-07-02 20:45:52,014 - pyskl - INFO - Epoch(val) [136][169] top1_acc: 0.9382, top5_acc: 0.9952 +2025-07-02 20:46:29,015 - pyskl - INFO - Epoch [137][100/1178] lr: 5.272e-04, eta: 0:44:23, time: 0.370, data_time: 0.213, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 20:46:44,889 - pyskl - INFO - Epoch [137][200/1178] lr: 5.208e-04, eta: 0:44:06, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 20:47:00,303 - pyskl - INFO - Epoch [137][300/1178] lr: 5.145e-04, eta: 0:43:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 20:47:15,795 - pyskl - INFO - Epoch [137][400/1178] lr: 5.082e-04, eta: 0:43:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 20:47:31,288 - pyskl - INFO - Epoch [137][500/1178] lr: 5.019e-04, eta: 0:43:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 20:47:46,728 - pyskl - INFO - Epoch [137][600/1178] lr: 4.957e-04, eta: 0:43:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 20:48:02,199 - pyskl - INFO - Epoch [137][700/1178] lr: 4.895e-04, eta: 0:42:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 20:48:17,758 - pyskl - INFO - Epoch [137][800/1178] lr: 4.834e-04, eta: 0:42:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 20:48:33,313 - pyskl - INFO - Epoch [137][900/1178] lr: 4.773e-04, eta: 0:42:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 20:48:48,948 - pyskl - INFO - Epoch [137][1000/1178] lr: 4.712e-04, eta: 0:41:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 20:49:04,575 - pyskl - INFO - Epoch [137][1100/1178] lr: 4.652e-04, eta: 0:41:39, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 20:49:17,362 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 20:49:40,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:49:40,519 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9941 +2025-07-02 20:49:40,522 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_132.pth was removed +2025-07-02 20:49:40,638 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2025-07-02 20:49:40,639 - pyskl - INFO - Best top1_acc is 0.9397 at 137 epoch. +2025-07-02 20:49:40,639 - pyskl - INFO - Epoch(val) [137][169] top1_acc: 0.9397, top5_acc: 0.9941 +2025-07-02 20:50:17,754 - pyskl - INFO - Epoch [138][100/1178] lr: 4.546e-04, eta: 0:41:11, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 20:50:33,233 - pyskl - INFO - Epoch [138][200/1178] lr: 4.487e-04, eta: 0:40:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 20:50:48,757 - pyskl - INFO - Epoch [138][300/1178] lr: 4.428e-04, eta: 0:40:39, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 20:51:04,267 - pyskl - INFO - Epoch [138][400/1178] lr: 4.369e-04, eta: 0:40:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 20:51:19,767 - pyskl - INFO - Epoch [138][500/1178] lr: 4.311e-04, eta: 0:40:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 20:51:35,197 - pyskl - INFO - Epoch [138][600/1178] lr: 4.254e-04, eta: 0:39:50, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 20:51:50,607 - pyskl - INFO - Epoch [138][700/1178] lr: 4.196e-04, eta: 0:39:33, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 20:52:06,026 - pyskl - INFO - Epoch [138][800/1178] lr: 4.139e-04, eta: 0:39:17, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 20:52:21,541 - pyskl - INFO - Epoch [138][900/1178] lr: 4.083e-04, eta: 0:39:01, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 20:52:37,178 - pyskl - INFO - Epoch [138][1000/1178] lr: 4.027e-04, eta: 0:38:44, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 20:52:52,807 - pyskl - INFO - Epoch [138][1100/1178] lr: 3.971e-04, eta: 0:38:28, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 20:53:05,588 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 20:53:28,549 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:53:28,560 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9945 +2025-07-02 20:53:28,560 - pyskl - INFO - Epoch(val) [138][169] top1_acc: 0.9393, top5_acc: 0.9945 +2025-07-02 20:54:05,747 - pyskl - INFO - Epoch [139][100/1178] lr: 3.873e-04, eta: 0:38:00, time: 0.372, data_time: 0.212, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 20:54:21,240 - pyskl - INFO - Epoch [139][200/1178] lr: 3.818e-04, eta: 0:37:44, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 20:54:36,716 - pyskl - INFO - Epoch [139][300/1178] lr: 3.764e-04, eta: 0:37:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 20:54:52,254 - pyskl - INFO - Epoch [139][400/1178] lr: 3.710e-04, eta: 0:37:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:55:07,691 - pyskl - INFO - Epoch [139][500/1178] lr: 3.656e-04, eta: 0:36:55, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 20:55:23,187 - pyskl - INFO - Epoch [139][600/1178] lr: 3.603e-04, eta: 0:36:38, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 20:55:38,683 - pyskl - INFO - Epoch [139][700/1178] lr: 3.550e-04, eta: 0:36:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 20:55:54,200 - pyskl - INFO - Epoch [139][800/1178] lr: 3.498e-04, eta: 0:36:06, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:56:09,658 - pyskl - INFO - Epoch [139][900/1178] lr: 3.446e-04, eta: 0:35:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 20:56:25,185 - pyskl - INFO - Epoch [139][1000/1178] lr: 3.394e-04, eta: 0:35:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 20:56:40,823 - pyskl - INFO - Epoch [139][1100/1178] lr: 3.343e-04, eta: 0:35:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 20:56:53,474 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 20:57:16,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 20:57:16,257 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9941 +2025-07-02 20:57:16,258 - pyskl - INFO - Epoch(val) [139][169] top1_acc: 0.9360, top5_acc: 0.9941 +2025-07-02 20:57:53,601 - pyskl - INFO - Epoch [140][100/1178] lr: 3.253e-04, eta: 0:34:49, time: 0.373, data_time: 0.216, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 20:58:09,207 - pyskl - INFO - Epoch [140][200/1178] lr: 3.202e-04, eta: 0:34:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 20:58:24,794 - pyskl - INFO - Epoch [140][300/1178] lr: 3.153e-04, eta: 0:34:16, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 20:58:40,485 - pyskl - INFO - Epoch [140][400/1178] lr: 3.103e-04, eta: 0:34:00, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 20:58:56,028 - pyskl - INFO - Epoch [140][500/1178] lr: 3.054e-04, eta: 0:33:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 20:59:11,594 - pyskl - INFO - Epoch [140][600/1178] lr: 3.006e-04, eta: 0:33:27, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 20:59:27,130 - pyskl - INFO - Epoch [140][700/1178] lr: 2.957e-04, eta: 0:33:11, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0489, loss: 0.0489 +2025-07-02 20:59:42,650 - pyskl - INFO - Epoch [140][800/1178] lr: 2.909e-04, eta: 0:32:55, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 20:59:58,226 - pyskl - INFO - Epoch [140][900/1178] lr: 2.862e-04, eta: 0:32:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 21:00:13,768 - pyskl - INFO - Epoch [140][1000/1178] lr: 2.815e-04, eta: 0:32:22, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 21:00:29,201 - pyskl - INFO - Epoch [140][1100/1178] lr: 2.768e-04, eta: 0:32:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 21:00:41,815 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 21:01:04,666 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:01:04,676 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9933 +2025-07-02 21:01:04,677 - pyskl - INFO - Epoch(val) [140][169] top1_acc: 0.9360, top5_acc: 0.9933 +2025-07-02 21:01:41,304 - pyskl - INFO - Epoch [141][100/1178] lr: 2.686e-04, eta: 0:31:37, time: 0.366, data_time: 0.209, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 21:01:56,876 - pyskl - INFO - Epoch [141][200/1178] lr: 2.640e-04, eta: 0:31:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 21:02:12,379 - pyskl - INFO - Epoch [141][300/1178] lr: 2.595e-04, eta: 0:31:05, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 21:02:27,901 - pyskl - INFO - Epoch [141][400/1178] lr: 2.550e-04, eta: 0:30:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 21:02:43,450 - pyskl - INFO - Epoch [141][500/1178] lr: 2.506e-04, eta: 0:30:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 21:02:58,982 - pyskl - INFO - Epoch [141][600/1178] lr: 2.462e-04, eta: 0:30:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 21:03:14,470 - pyskl - INFO - Epoch [141][700/1178] lr: 2.418e-04, eta: 0:30:00, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 21:03:29,968 - pyskl - INFO - Epoch [141][800/1178] lr: 2.375e-04, eta: 0:29:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 21:03:45,468 - pyskl - INFO - Epoch [141][900/1178] lr: 2.332e-04, eta: 0:29:27, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 21:04:01,073 - pyskl - INFO - Epoch [141][1000/1178] lr: 2.289e-04, eta: 0:29:11, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 21:04:16,649 - pyskl - INFO - Epoch [141][1100/1178] lr: 2.247e-04, eta: 0:28:54, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 21:04:29,447 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 21:04:52,514 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:04:52,524 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9937 +2025-07-02 21:04:52,524 - pyskl - INFO - Epoch(val) [141][169] top1_acc: 0.9360, top5_acc: 0.9937 +2025-07-02 21:05:29,327 - pyskl - INFO - Epoch [142][100/1178] lr: 2.173e-04, eta: 0:28:26, time: 0.368, data_time: 0.208, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 21:05:44,845 - pyskl - INFO - Epoch [142][200/1178] lr: 2.132e-04, eta: 0:28:10, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 21:06:00,356 - pyskl - INFO - Epoch [142][300/1178] lr: 2.091e-04, eta: 0:27:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 21:06:15,780 - pyskl - INFO - Epoch [142][400/1178] lr: 2.051e-04, eta: 0:27:37, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 21:06:31,261 - pyskl - INFO - Epoch [142][500/1178] lr: 2.011e-04, eta: 0:27:21, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 21:06:46,707 - pyskl - INFO - Epoch [142][600/1178] lr: 1.972e-04, eta: 0:27:04, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 21:07:02,228 - pyskl - INFO - Epoch [142][700/1178] lr: 1.932e-04, eta: 0:26:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 21:07:17,770 - pyskl - INFO - Epoch [142][800/1178] lr: 1.894e-04, eta: 0:26:32, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 21:07:33,320 - pyskl - INFO - Epoch [142][900/1178] lr: 1.855e-04, eta: 0:26:16, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 21:07:48,896 - pyskl - INFO - Epoch [142][1000/1178] lr: 1.817e-04, eta: 0:25:59, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 21:08:04,432 - pyskl - INFO - Epoch [142][1100/1178] lr: 1.780e-04, eta: 0:25:43, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 21:08:17,008 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 21:08:40,059 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:08:40,070 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9941 +2025-07-02 21:08:40,074 - pyskl - INFO - The previous best checkpoint /home/lhd/c_action/pyskl_mine/work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_137.pth was removed +2025-07-02 21:08:40,203 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-07-02 21:08:40,204 - pyskl - INFO - Best top1_acc is 0.9427 at 142 epoch. +2025-07-02 21:08:40,205 - pyskl - INFO - Epoch(val) [142][169] top1_acc: 0.9427, top5_acc: 0.9941 +2025-07-02 21:09:17,491 - pyskl - INFO - Epoch [143][100/1178] lr: 1.714e-04, eta: 0:25:15, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 21:09:33,143 - pyskl - INFO - Epoch [143][200/1178] lr: 1.678e-04, eta: 0:24:58, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 21:09:48,647 - pyskl - INFO - Epoch [143][300/1178] lr: 1.641e-04, eta: 0:24:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 21:10:04,172 - pyskl - INFO - Epoch [143][400/1178] lr: 1.606e-04, eta: 0:24:26, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 21:10:19,678 - pyskl - INFO - Epoch [143][500/1178] lr: 1.570e-04, eta: 0:24:09, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 21:10:35,162 - pyskl - INFO - Epoch [143][600/1178] lr: 1.535e-04, eta: 0:23:53, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 21:10:50,619 - pyskl - INFO - Epoch [143][700/1178] lr: 1.501e-04, eta: 0:23:37, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 21:11:06,175 - pyskl - INFO - Epoch [143][800/1178] lr: 1.467e-04, eta: 0:23:21, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 21:11:21,820 - pyskl - INFO - Epoch [143][900/1178] lr: 1.433e-04, eta: 0:23:04, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 21:11:37,346 - pyskl - INFO - Epoch [143][1000/1178] lr: 1.400e-04, eta: 0:22:48, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 21:11:52,952 - pyskl - INFO - Epoch [143][1100/1178] lr: 1.367e-04, eta: 0:22:32, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 21:12:05,760 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 21:12:28,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:12:28,542 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9952 +2025-07-02 21:12:28,542 - pyskl - INFO - Epoch(val) [143][169] top1_acc: 0.9368, top5_acc: 0.9952 +2025-07-02 21:13:05,623 - pyskl - INFO - Epoch [144][100/1178] lr: 1.309e-04, eta: 0:22:03, time: 0.371, data_time: 0.211, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 21:13:21,251 - pyskl - INFO - Epoch [144][200/1178] lr: 1.277e-04, eta: 0:21:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:13:36,781 - pyskl - INFO - Epoch [144][300/1178] lr: 1.246e-04, eta: 0:21:31, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 21:13:52,358 - pyskl - INFO - Epoch [144][400/1178] lr: 1.215e-04, eta: 0:21:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 21:14:07,889 - pyskl - INFO - Epoch [144][500/1178] lr: 1.184e-04, eta: 0:20:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 21:14:23,494 - pyskl - INFO - Epoch [144][600/1178] lr: 1.154e-04, eta: 0:20:42, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 21:14:39,051 - pyskl - INFO - Epoch [144][700/1178] lr: 1.124e-04, eta: 0:20:26, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 21:14:54,660 - pyskl - INFO - Epoch [144][800/1178] lr: 1.094e-04, eta: 0:20:09, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 21:15:10,327 - pyskl - INFO - Epoch [144][900/1178] lr: 1.065e-04, eta: 0:19:53, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 21:15:25,882 - pyskl - INFO - Epoch [144][1000/1178] lr: 1.036e-04, eta: 0:19:37, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 21:15:41,451 - pyskl - INFO - Epoch [144][1100/1178] lr: 1.008e-04, eta: 0:19:20, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 21:15:54,074 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 21:16:17,119 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:16:17,129 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9937 +2025-07-02 21:16:17,130 - pyskl - INFO - Epoch(val) [144][169] top1_acc: 0.9371, top5_acc: 0.9937 +2025-07-02 21:16:54,409 - pyskl - INFO - Epoch [145][100/1178] lr: 9.583e-05, eta: 0:18:52, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 21:17:10,029 - pyskl - INFO - Epoch [145][200/1178] lr: 9.310e-05, eta: 0:18:36, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 21:17:25,657 - pyskl - INFO - Epoch [145][300/1178] lr: 9.041e-05, eta: 0:18:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 21:17:41,253 - pyskl - INFO - Epoch [145][400/1178] lr: 8.776e-05, eta: 0:18:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 21:17:56,820 - pyskl - INFO - Epoch [145][500/1178] lr: 8.516e-05, eta: 0:17:47, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 21:18:12,288 - pyskl - INFO - Epoch [145][600/1178] lr: 8.259e-05, eta: 0:17:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 21:18:27,793 - pyskl - INFO - Epoch [145][700/1178] lr: 8.005e-05, eta: 0:17:14, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 21:18:43,307 - pyskl - INFO - Epoch [145][800/1178] lr: 7.756e-05, eta: 0:16:58, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 21:18:58,831 - pyskl - INFO - Epoch [145][900/1178] lr: 7.511e-05, eta: 0:16:42, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 21:19:14,418 - pyskl - INFO - Epoch [145][1000/1178] lr: 7.270e-05, eta: 0:16:25, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 21:19:30,100 - pyskl - INFO - Epoch [145][1100/1178] lr: 7.032e-05, eta: 0:16:09, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 21:19:42,857 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 21:20:06,316 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:20:06,326 - pyskl - INFO - +top1_acc 0.9419 +top5_acc 0.9948 +2025-07-02 21:20:06,327 - pyskl - INFO - Epoch(val) [145][169] top1_acc: 0.9419, top5_acc: 0.9948 +2025-07-02 21:20:43,234 - pyskl - INFO - Epoch [146][100/1178] lr: 6.620e-05, eta: 0:15:40, time: 0.369, data_time: 0.212, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 21:20:58,976 - pyskl - INFO - Epoch [146][200/1178] lr: 6.393e-05, eta: 0:15:24, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 21:21:14,596 - pyskl - INFO - Epoch [146][300/1178] lr: 6.171e-05, eta: 0:15:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 21:21:30,118 - pyskl - INFO - Epoch [146][400/1178] lr: 5.952e-05, eta: 0:14:52, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 21:21:45,633 - pyskl - INFO - Epoch [146][500/1178] lr: 5.737e-05, eta: 0:14:35, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 21:22:01,132 - pyskl - INFO - Epoch [146][600/1178] lr: 5.527e-05, eta: 0:14:19, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 21:22:16,649 - pyskl - INFO - Epoch [146][700/1178] lr: 5.320e-05, eta: 0:14:03, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 21:22:32,137 - pyskl - INFO - Epoch [146][800/1178] lr: 5.117e-05, eta: 0:13:47, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 21:22:47,655 - pyskl - INFO - Epoch [146][900/1178] lr: 4.918e-05, eta: 0:13:30, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 21:23:03,236 - pyskl - INFO - Epoch [146][1000/1178] lr: 4.723e-05, eta: 0:13:14, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 21:23:18,874 - pyskl - INFO - Epoch [146][1100/1178] lr: 4.532e-05, eta: 0:12:58, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 21:23:31,539 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 21:23:54,727 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:23:54,737 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9941 +2025-07-02 21:23:54,737 - pyskl - INFO - Epoch(val) [146][169] top1_acc: 0.9364, top5_acc: 0.9941 +2025-07-02 21:24:31,663 - pyskl - INFO - Epoch [147][100/1178] lr: 4.202e-05, eta: 0:12:29, time: 0.369, data_time: 0.210, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 21:24:47,191 - pyskl - INFO - Epoch [147][200/1178] lr: 4.022e-05, eta: 0:12:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 21:25:02,665 - pyskl - INFO - Epoch [147][300/1178] lr: 3.845e-05, eta: 0:11:57, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 21:25:18,128 - pyskl - INFO - Epoch [147][400/1178] lr: 3.673e-05, eta: 0:11:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 21:25:33,602 - pyskl - INFO - Epoch [147][500/1178] lr: 3.505e-05, eta: 0:11:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 21:25:49,195 - pyskl - INFO - Epoch [147][600/1178] lr: 3.341e-05, eta: 0:11:08, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 21:26:04,762 - pyskl - INFO - Epoch [147][700/1178] lr: 3.180e-05, eta: 0:10:51, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0170, loss: 0.0170 +2025-07-02 21:26:20,335 - pyskl - INFO - Epoch [147][800/1178] lr: 3.024e-05, eta: 0:10:35, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 21:26:35,925 - pyskl - INFO - Epoch [147][900/1178] lr: 2.871e-05, eta: 0:10:19, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0281, loss: 0.0281 +2025-07-02 21:26:51,523 - pyskl - INFO - Epoch [147][1000/1178] lr: 2.723e-05, eta: 0:10:03, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 21:27:07,156 - pyskl - INFO - Epoch [147][1100/1178] lr: 2.578e-05, eta: 0:09:46, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 21:27:19,871 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 21:27:42,702 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:27:42,713 - pyskl - INFO - +top1_acc 0.9397 +top5_acc 0.9956 +2025-07-02 21:27:42,713 - pyskl - INFO - Epoch(val) [147][169] top1_acc: 0.9397, top5_acc: 0.9956 +2025-07-02 21:28:19,969 - pyskl - INFO - Epoch [148][100/1178] lr: 2.330e-05, eta: 0:09:18, time: 0.373, data_time: 0.214, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 21:28:35,674 - pyskl - INFO - Epoch [148][200/1178] lr: 2.197e-05, eta: 0:09:01, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 21:28:51,363 - pyskl - INFO - Epoch [148][300/1178] lr: 2.067e-05, eta: 0:08:45, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 21:29:06,909 - pyskl - INFO - Epoch [148][400/1178] lr: 1.941e-05, eta: 0:08:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 21:29:22,454 - pyskl - INFO - Epoch [148][500/1178] lr: 1.819e-05, eta: 0:08:13, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 21:29:38,028 - pyskl - INFO - Epoch [148][600/1178] lr: 1.701e-05, eta: 0:07:56, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 21:29:53,760 - pyskl - INFO - Epoch [148][700/1178] lr: 1.588e-05, eta: 0:07:40, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 21:30:09,297 - pyskl - INFO - Epoch [148][800/1178] lr: 1.478e-05, eta: 0:07:24, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 21:30:24,998 - pyskl - INFO - Epoch [148][900/1178] lr: 1.371e-05, eta: 0:07:08, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 21:30:40,721 - pyskl - INFO - Epoch [148][1000/1178] lr: 1.269e-05, eta: 0:06:51, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 21:30:56,631 - pyskl - INFO - Epoch [148][1100/1178] lr: 1.171e-05, eta: 0:06:35, time: 0.159, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 21:31:09,385 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 21:31:32,701 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:31:32,712 - pyskl - INFO - +top1_acc 0.9371 +top5_acc 0.9937 +2025-07-02 21:31:32,712 - pyskl - INFO - Epoch(val) [148][169] top1_acc: 0.9371, top5_acc: 0.9937 +2025-07-02 21:32:09,711 - pyskl - INFO - Epoch [149][100/1178] lr: 1.006e-05, eta: 0:06:06, time: 0.370, data_time: 0.211, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 21:32:25,426 - pyskl - INFO - Epoch [149][200/1178] lr: 9.191e-06, eta: 0:05:50, time: 0.157, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 21:32:40,921 - pyskl - INFO - Epoch [149][300/1178] lr: 8.358e-06, eta: 0:05:34, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 21:32:56,445 - pyskl - INFO - Epoch [149][400/1178] lr: 7.566e-06, eta: 0:05:17, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 21:33:11,877 - pyskl - INFO - Epoch [149][500/1178] lr: 6.812e-06, eta: 0:05:01, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 21:33:27,374 - pyskl - INFO - Epoch [149][600/1178] lr: 6.098e-06, eta: 0:04:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0181, loss: 0.0181 +2025-07-02 21:33:42,910 - pyskl - INFO - Epoch [149][700/1178] lr: 5.424e-06, eta: 0:04:29, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 21:33:58,451 - pyskl - INFO - Epoch [149][800/1178] lr: 4.789e-06, eta: 0:04:12, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 21:34:13,953 - pyskl - INFO - Epoch [149][900/1178] lr: 4.194e-06, eta: 0:03:56, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 21:34:29,446 - pyskl - INFO - Epoch [149][1000/1178] lr: 3.638e-06, eta: 0:03:40, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 21:34:45,041 - pyskl - INFO - Epoch [149][1100/1178] lr: 3.121e-06, eta: 0:03:24, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 21:34:57,713 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 21:35:20,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:35:20,699 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9945 +2025-07-02 21:35:20,700 - pyskl - INFO - Epoch(val) [149][169] top1_acc: 0.9357, top5_acc: 0.9945 +2025-07-02 21:35:57,825 - pyskl - INFO - Epoch [150][100/1178] lr: 2.300e-06, eta: 0:02:55, time: 0.371, data_time: 0.212, memory: 3566, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 21:36:13,451 - pyskl - INFO - Epoch [150][200/1178] lr: 1.893e-06, eta: 0:02:38, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 21:36:29,099 - pyskl - INFO - Epoch [150][300/1178] lr: 1.526e-06, eta: 0:02:22, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 21:36:44,524 - pyskl - INFO - Epoch [150][400/1178] lr: 1.199e-06, eta: 0:02:06, time: 0.154, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 21:36:59,977 - pyskl - INFO - Epoch [150][500/1178] lr: 9.108e-07, eta: 0:01:50, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 21:37:15,508 - pyskl - INFO - Epoch [150][600/1178] lr: 6.623e-07, eta: 0:01:33, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 21:37:31,107 - pyskl - INFO - Epoch [150][700/1178] lr: 4.533e-07, eta: 0:01:17, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 0.9994, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 21:37:46,667 - pyskl - INFO - Epoch [150][800/1178] lr: 2.838e-07, eta: 0:01:01, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 21:38:02,185 - pyskl - INFO - Epoch [150][900/1178] lr: 1.538e-07, eta: 0:00:45, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 21:38:17,708 - pyskl - INFO - Epoch [150][1000/1178] lr: 6.330e-08, eta: 0:00:28, time: 0.155, data_time: 0.000, memory: 3566, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 21:38:33,276 - pyskl - INFO - Epoch [150][1100/1178] lr: 1.233e-08, eta: 0:00:12, time: 0.156, data_time: 0.000, memory: 3566, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 21:38:46,061 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 21:39:09,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 21:39:09,149 - pyskl - INFO - +top1_acc 0.9401 +top5_acc 0.9945 +2025-07-02 21:39:09,149 - pyskl - INFO - Epoch(val) [150][169] top1_acc: 0.9401, top5_acc: 0.9945 +2025-07-02 21:39:15,783 - pyskl - INFO - 2704 videos remain after valid thresholding +2025-07-02 21:40:41,747 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 21:40:41,747 - pyskl - INFO - top1_acc: 0.9475 +2025-07-02 21:40:41,748 - pyskl - INFO - top5_acc: 0.9948 +2025-07-02 21:40:41,748 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xsub/km/best_top1_acc_epoch_142.pth +2025-07-02 21:42:08,480 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 21:42:08,480 - pyskl - INFO - top1_acc: 0.9467 +2025-07-02 21:42:08,480 - pyskl - INFO - top5_acc: 0.9956 diff --git a/pku_mmd_xsub/km/20250702_121123.log.json b/pku_mmd_xsub/km/20250702_121123.log.json new file mode 100644 index 0000000000000000000000000000000000000000..7276a1ae4fedf39596aface70512bdc18aee47e2 --- /dev/null +++ b/pku_mmd_xsub/km/20250702_121123.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0: GeForce RTX 3090\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.2, V11.2.67\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\nPyTorch: 1.9.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb)\n - OpenMP 201511 (a.k.a. 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3566, "data_time": 0.00016, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.02646, "loss": 0.02646, "time": 0.15517} +{"mode": "train", "epoch": 150, "iter": 1000, "lr": 0.0, "memory": 3566, "data_time": 0.00018, "top1_acc": 0.99875, "top5_acc": 1.0, "loss_cls": 0.02678, "loss": 0.02678, "time": 0.15522} +{"mode": "train", "epoch": 150, "iter": 1100, "lr": 0.0, "memory": 3566, "data_time": 0.00016, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.04017, "loss": 0.04017, "time": 0.15568} +{"mode": "val", "epoch": 150, "iter": 169, "lr": 0.0, "top1_acc": 0.94009, "top5_acc": 0.99445} diff --git a/pku_mmd_xsub/km/best_pred.pkl b/pku_mmd_xsub/km/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..c6fc40f165c89fcbcf38f10a784681e52c0f394c --- /dev/null +++ b/pku_mmd_xsub/km/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:92ab978203ea5aa4ca06f414289e6fe2d536826385f22ce1be6f9c7eeb9c2b7e +size 954179 diff --git a/pku_mmd_xsub/km/best_top1_acc_epoch_150.pth b/pku_mmd_xsub/km/best_top1_acc_epoch_150.pth new file mode 100644 index 0000000000000000000000000000000000000000..2f12734ad38eb7bb2e72b77b881a3f50f26917c1 --- /dev/null +++ b/pku_mmd_xsub/km/best_top1_acc_epoch_150.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e0da4d40601ad281568d207a666b51034874950697c68eabcdcd3636e929521 +size 16576377 diff --git a/pku_mmd_xsub/km/km.py b/pku_mmd_xsub/km/km.py new file mode 100644 index 0000000000000000000000000000000000000000..1321c6630c9b920b825c13a48bd122f45c97a917 --- /dev/null +++ b/pku_mmd_xsub/km/km.py @@ -0,0 +1,98 @@ +modality = 'km' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xsub/km' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xsub_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xsub/pku_mmd_xsub_ensemble.py b/pku_mmd_xsub/pku_mmd_xsub_ensemble.py new file mode 100644 index 0000000000000000000000000000000000000000..eb46ce4472cab3a3d048c4e82b4f5eb208f6982b --- /dev/null +++ b/pku_mmd_xsub/pku_mmd_xsub_ensemble.py @@ -0,0 +1,68 @@ +from mmcv import load +import sys +# Note: please adjust the relative path according to the actual situation. +sys.path.append('../..') +from aclnet.smp import * + + +j_1 = load('j_1/best_pred.pkl') +b_1 = load('b_1/best_pred.pkl') +k_1 = load('k_1/best_pred.pkl') +jm = load('jm/best_pred.pkl') +bm = load('bm/best_pred.pkl') +km = load('km/best_pred.pkl') +j_2 = load('j_2/best_pred.pkl') +b_2 = load('b_2/best_pred.pkl') +k_2 = load('k_2/best_pred.pkl') +j_3 = load('j_3/best_pred.pkl') +b_3 = load('b_3/best_pred.pkl') +k_3 = load('k_3/best_pred.pkl') +label = load_label('/data/pku/pku_mmd.pkl', 'xsub_val') + + +""" +*************** +InfoGCN v0: +j jm b bm k km +2S: 96.71 +4S: 96.67 +6S: 97.08 +*************** +""" +print('InfoGCN v0:') +print('j jm b bm k km') +print('2S') +fused = comb([j_1, b_1], [1, 1]) +print('Top-1', top1(fused, label)) + +print('4S') +fused = comb([j_1, b_1, jm, bm], [5, 5, 1, 1]) +print('Top-1', top1(fused, label)) + +print('6S') +fused = comb([j_1, b_1, k_1, jm, bm, km], [5, 5, 5, 1, 1, 1]) +print('Top-1', top1(fused, label)) + + +""" +*************** +HD-GCN v1: +j b j b j b +2S: 96.71 +4S: 97.00 +6S: 97.06 +*************** +""" +print('HD-GCN v1:') +print('j b j b j b') +print('2S') +fused = comb([j_1, b_1], [1, 1]) +print('Top-1', top1(fused, label)) + +print('4S') +fused = comb([j_1, b_1, j_2, b_2], [5, 5, 9, 9]) +print('Top-1', top1(fused, label)) + +print('6S') +fused = comb([j_1, b_1, j_2, b_2, j_3, b_3], [5, 5, 9, 9, 3, 3]) +print('Top-1', top1(fused, label)) diff --git a/pku_mmd_xview/b_1/20250701_173349.log b/pku_mmd_xview/b_1/20250701_173349.log new file mode 100644 index 0000000000000000000000000000000000000000..2cf3556f9a1229f121f77578c7862fd54d31235f --- /dev/null +++ b/pku_mmd_xview/b_1/20250701_173349.log @@ -0,0 +1,2395 @@ +2025-07-01 17:33:50,026 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-01 17:33:50,301 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/b_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-01 17:33:50,302 - pyskl - INFO - Set random seed to 1212509939, deterministic: False +2025-07-01 17:33:54,710 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-01 17:34:01,598 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-01 17:34:01,598 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1 +2025-07-01 17:34:01,599 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-01 17:34:01,599 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-01 17:34:01,599 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1 by HardDiskBackend. +2025-07-01 17:34:41,367 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 14:52:01, time: 0.398, data_time: 0.226, memory: 2902, top1_acc: 0.0537, top5_acc: 0.2031, loss_cls: 4.3261, loss: 4.3261 +2025-07-01 17:34:58,288 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:35:19, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.0850, top5_acc: 0.3225, loss_cls: 4.1285, loss: 4.1285 +2025-07-01 17:35:15,107 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:08:48, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.1244, top5_acc: 0.4400, loss_cls: 3.7167, loss: 3.7167 +2025-07-01 17:35:32,086 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:26:17, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.1625, top5_acc: 0.5619, loss_cls: 3.3371, loss: 3.3371 +2025-07-01 17:35:49,164 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:01:07, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.2206, top5_acc: 0.6406, loss_cls: 3.1116, loss: 3.1116 +2025-07-01 17:36:06,697 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:45:56, time: 0.175, data_time: 0.001, memory: 2902, top1_acc: 0.2475, top5_acc: 0.6994, loss_cls: 2.9315, loss: 2.9315 +2025-07-01 17:36:24,117 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:34:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.3031, top5_acc: 0.7538, loss_cls: 2.7188, loss: 2.7188 +2025-07-01 17:36:41,903 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:27:08, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.3162, top5_acc: 0.7675, loss_cls: 2.6625, loss: 2.6625 +2025-07-01 17:36:59,547 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-01 17:37:37,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:37:37,027 - pyskl - INFO - +top1_acc 0.0696 +top5_acc 0.2314 +2025-07-01 17:37:37,202 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-01 17:37:37,203 - pyskl - INFO - Best top1_acc is 0.0696 at 1 epoch. +2025-07-01 17:37:37,205 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.0696, top5_acc: 0.2314 +2025-07-01 17:38:18,217 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:29:28, time: 0.410, data_time: 0.240, memory: 2902, top1_acc: 0.3656, top5_acc: 0.8281, loss_cls: 2.4501, loss: 2.4501 +2025-07-01 17:38:35,155 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:22:34, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.4356, top5_acc: 0.8488, loss_cls: 2.2694, loss: 2.2694 +2025-07-01 17:38:52,477 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:17:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.4681, top5_acc: 0.8781, loss_cls: 2.1407, loss: 2.1407 +2025-07-01 17:39:10,036 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:13:33, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.4819, top5_acc: 0.8712, loss_cls: 2.0800, loss: 2.0800 +2025-07-01 17:39:27,182 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:09:29, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.5044, top5_acc: 0.8900, loss_cls: 2.0274, loss: 2.0274 +2025-07-01 17:39:44,900 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:06:46, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.5112, top5_acc: 0.8862, loss_cls: 1.9731, loss: 1.9731 +2025-07-01 17:40:02,137 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:03:42, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5219, top5_acc: 0.8956, loss_cls: 1.9467, loss: 1.9467 +2025-07-01 17:40:19,625 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:01:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.5594, top5_acc: 0.9163, loss_cls: 1.8008, loss: 1.8008 +2025-07-01 17:40:37,500 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-01 17:41:14,717 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:41:14,744 - pyskl - INFO - +top1_acc 0.5929 +top5_acc 0.9359 +2025-07-01 17:41:14,749 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_1.pth was removed +2025-07-01 17:41:14,946 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-01 17:41:14,946 - pyskl - INFO - Best top1_acc is 0.5929 at 2 epoch. +2025-07-01 17:41:14,948 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.5929, top5_acc: 0.9359 +2025-07-01 17:41:56,119 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:04:46, time: 0.412, data_time: 0.236, memory: 2902, top1_acc: 0.5587, top5_acc: 0.9156, loss_cls: 1.8125, loss: 1.8125 +2025-07-01 17:42:13,775 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:02:45, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.5781, top5_acc: 0.9387, loss_cls: 1.7236, loss: 1.7236 +2025-07-01 17:42:31,324 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:00:46, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6244, top5_acc: 0.9337, loss_cls: 1.6020, loss: 1.6020 +2025-07-01 17:42:48,789 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 6:58:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6162, top5_acc: 0.9181, loss_cls: 1.6692, loss: 1.6692 +2025-07-01 17:43:05,925 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 6:56:48, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.6250, top5_acc: 0.9331, loss_cls: 1.6046, loss: 1.6046 +2025-07-01 17:43:23,401 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:55:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6306, top5_acc: 0.9413, loss_cls: 1.5622, loss: 1.5622 +2025-07-01 17:43:41,143 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:53:54, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6319, top5_acc: 0.9375, loss_cls: 1.5666, loss: 1.5666 +2025-07-01 17:43:58,900 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:52:43, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.6525, top5_acc: 0.9413, loss_cls: 1.5245, loss: 1.5245 +2025-07-01 17:44:17,091 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-01 17:44:54,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:44:54,222 - pyskl - INFO - +top1_acc 0.7271 +top5_acc 0.9715 +2025-07-01 17:44:54,226 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_2.pth was removed +2025-07-01 17:44:54,448 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-01 17:44:54,449 - pyskl - INFO - Best top1_acc is 0.7271 at 3 epoch. +2025-07-01 17:44:54,451 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7271, top5_acc: 0.9715 +2025-07-01 17:45:36,133 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:55:41, time: 0.417, data_time: 0.241, memory: 2902, top1_acc: 0.6619, top5_acc: 0.9425, loss_cls: 1.4714, loss: 1.4714 +2025-07-01 17:45:53,605 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:54:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6813, top5_acc: 0.9513, loss_cls: 1.4181, loss: 1.4181 +2025-07-01 17:46:11,082 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:52:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6800, top5_acc: 0.9487, loss_cls: 1.4281, loss: 1.4281 +2025-07-01 17:46:28,664 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:51:46, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6831, top5_acc: 0.9419, loss_cls: 1.4194, loss: 1.4194 +2025-07-01 17:46:46,040 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:50:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6975, top5_acc: 0.9606, loss_cls: 1.3263, loss: 1.3263 +2025-07-01 17:47:04,062 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:49:43, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.6731, top5_acc: 0.9413, loss_cls: 1.4351, loss: 1.4351 +2025-07-01 17:47:21,710 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:48:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7019, top5_acc: 0.9487, loss_cls: 1.3389, loss: 1.3389 +2025-07-01 17:47:39,060 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:47:35, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6863, top5_acc: 0.9450, loss_cls: 1.3691, loss: 1.3691 +2025-07-01 17:47:56,958 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-01 17:48:34,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:48:34,120 - pyskl - INFO - +top1_acc 0.7138 +top5_acc 0.9576 +2025-07-01 17:48:34,121 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7138, top5_acc: 0.9576 +2025-07-01 17:49:15,873 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:49:49, time: 0.417, data_time: 0.238, memory: 2902, top1_acc: 0.7056, top5_acc: 0.9600, loss_cls: 1.2956, loss: 1.2956 +2025-07-01 17:49:33,397 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:48:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7206, top5_acc: 0.9519, loss_cls: 1.3215, loss: 1.3215 +2025-07-01 17:49:50,710 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:47:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7388, top5_acc: 0.9581, loss_cls: 1.2325, loss: 1.2325 +2025-07-01 17:50:08,275 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:46:45, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7275, top5_acc: 0.9531, loss_cls: 1.2434, loss: 1.2434 +2025-07-01 17:50:25,389 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:45:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7338, top5_acc: 0.9563, loss_cls: 1.2366, loss: 1.2366 +2025-07-01 17:50:43,282 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:44:55, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.7137, top5_acc: 0.9563, loss_cls: 1.2556, loss: 1.2556 +2025-07-01 17:51:00,996 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:44:09, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7450, top5_acc: 0.9563, loss_cls: 1.2090, loss: 1.2090 +2025-07-01 17:51:18,441 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:43:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7319, top5_acc: 0.9469, loss_cls: 1.2644, loss: 1.2644 +2025-07-01 17:51:36,654 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-01 17:52:13,526 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:52:13,554 - pyskl - INFO - +top1_acc 0.7725 +top5_acc 0.9755 +2025-07-01 17:52:13,558 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_3.pth was removed +2025-07-01 17:52:13,766 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-01 17:52:13,767 - pyskl - INFO - Best top1_acc is 0.7725 at 5 epoch. +2025-07-01 17:52:13,769 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.7725, top5_acc: 0.9755 +2025-07-01 17:52:55,709 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:45:06, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.7525, top5_acc: 0.9644, loss_cls: 1.1517, loss: 1.1517 +2025-07-01 17:53:12,671 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:44:00, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7588, top5_acc: 0.9587, loss_cls: 1.1790, loss: 1.1790 +2025-07-01 17:53:30,261 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:43:12, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9731, loss_cls: 1.0847, loss: 1.0847 +2025-07-01 17:53:47,710 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:42:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7600, top5_acc: 0.9613, loss_cls: 1.1222, loss: 1.1222 +2025-07-01 17:54:05,504 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:41:43, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7581, top5_acc: 0.9675, loss_cls: 1.1139, loss: 1.1139 +2025-07-01 17:54:22,950 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:40:55, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7512, top5_acc: 0.9637, loss_cls: 1.1615, loss: 1.1615 +2025-07-01 17:54:40,398 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:40:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7631, top5_acc: 0.9688, loss_cls: 1.0901, loss: 1.0901 +2025-07-01 17:54:57,620 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:39:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7644, top5_acc: 0.9606, loss_cls: 1.1129, loss: 1.1129 +2025-07-01 17:55:15,470 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-01 17:55:52,036 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:55:52,058 - pyskl - INFO - +top1_acc 0.7835 +top5_acc 0.9805 +2025-07-01 17:55:52,062 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_5.pth was removed +2025-07-01 17:55:52,235 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-01 17:55:52,235 - pyskl - INFO - Best top1_acc is 0.7835 at 6 epoch. +2025-07-01 17:55:52,237 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.7835, top5_acc: 0.9805 +2025-07-01 17:56:33,789 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:40:37, time: 0.415, data_time: 0.241, memory: 2902, top1_acc: 0.7544, top5_acc: 0.9675, loss_cls: 1.1280, loss: 1.1280 +2025-07-01 17:56:51,105 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:39:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7606, top5_acc: 0.9694, loss_cls: 1.1132, loss: 1.1132 +2025-07-01 17:57:08,118 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:38:54, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7725, top5_acc: 0.9731, loss_cls: 1.0500, loss: 1.0500 +2025-07-01 17:57:25,569 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:38:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7919, top5_acc: 0.9738, loss_cls: 1.0189, loss: 1.0189 +2025-07-01 17:57:43,049 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:37:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7969, top5_acc: 0.9706, loss_cls: 0.9942, loss: 0.9942 +2025-07-01 17:58:00,844 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:36:56, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7600, top5_acc: 0.9706, loss_cls: 1.0817, loss: 1.0817 +2025-07-01 17:58:18,385 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:36:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9688, loss_cls: 1.0431, loss: 1.0431 +2025-07-01 17:58:36,198 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:35:44, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7975, top5_acc: 0.9631, loss_cls: 0.9939, loss: 0.9939 +2025-07-01 17:58:53,997 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-01 17:59:31,228 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:59:31,250 - pyskl - INFO - +top1_acc 0.8216 +top5_acc 0.9846 +2025-07-01 17:59:31,254 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_6.pth was removed +2025-07-01 17:59:31,428 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-01 17:59:31,429 - pyskl - INFO - Best top1_acc is 0.8216 at 7 epoch. +2025-07-01 17:59:31,431 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8216, top5_acc: 0.9846 +2025-07-01 18:00:13,603 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:37:00, time: 0.422, data_time: 0.241, memory: 2902, top1_acc: 0.7812, top5_acc: 0.9712, loss_cls: 1.0253, loss: 1.0253 +2025-07-01 18:00:31,452 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:36:27, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9725, loss_cls: 0.9843, loss: 0.9843 +2025-07-01 18:00:49,091 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:35:51, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7856, top5_acc: 0.9744, loss_cls: 0.9727, loss: 0.9727 +2025-07-01 18:01:06,744 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:35:15, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9681, loss_cls: 0.9953, loss: 0.9953 +2025-07-01 18:01:25,048 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:34:52, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9712, loss_cls: 0.9963, loss: 0.9963 +2025-07-01 18:01:42,679 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:34:17, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9625, loss_cls: 1.0448, loss: 1.0448 +2025-07-01 18:02:00,357 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:33:44, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7950, top5_acc: 0.9756, loss_cls: 0.9616, loss: 0.9616 +2025-07-01 18:02:17,837 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:33:07, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7863, top5_acc: 0.9788, loss_cls: 0.9738, loss: 0.9738 +2025-07-01 18:02:35,694 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-01 18:03:13,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:03:13,156 - pyskl - INFO - +top1_acc 0.8385 +top5_acc 0.9871 +2025-07-01 18:03:13,160 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_7.pth was removed +2025-07-01 18:03:13,329 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-01 18:03:13,330 - pyskl - INFO - Best top1_acc is 0.8385 at 8 epoch. +2025-07-01 18:03:13,331 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8385, top5_acc: 0.9871 +2025-07-01 18:03:54,887 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:33:57, time: 0.416, data_time: 0.241, memory: 2902, top1_acc: 0.7969, top5_acc: 0.9681, loss_cls: 1.0017, loss: 1.0017 +2025-07-01 18:04:12,137 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:33:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8006, top5_acc: 0.9663, loss_cls: 0.9619, loss: 0.9619 +2025-07-01 18:04:29,487 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:32:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9781, loss_cls: 0.8946, loss: 0.8946 +2025-07-01 18:04:47,279 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:32:06, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9725, loss_cls: 0.9555, loss: 0.9555 +2025-07-01 18:05:04,933 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:31:34, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9756, loss_cls: 0.9370, loss: 0.9370 +2025-07-01 18:05:22,314 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:30:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9788, loss_cls: 0.8784, loss: 0.8784 +2025-07-01 18:05:39,850 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:30:23, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7981, top5_acc: 0.9794, loss_cls: 0.9328, loss: 0.9328 +2025-07-01 18:05:57,397 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:29:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7956, top5_acc: 0.9725, loss_cls: 0.9739, loss: 0.9739 +2025-07-01 18:06:15,582 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-01 18:06:53,031 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:06:53,054 - pyskl - INFO - +top1_acc 0.8521 +top5_acc 0.9868 +2025-07-01 18:06:53,058 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_8.pth was removed +2025-07-01 18:06:53,228 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-01 18:06:53,228 - pyskl - INFO - Best top1_acc is 0.8521 at 9 epoch. +2025-07-01 18:06:53,230 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8521, top5_acc: 0.9868 +2025-07-01 18:07:34,898 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:30:33, time: 0.417, data_time: 0.245, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9700, loss_cls: 0.9765, loss: 0.9765 +2025-07-01 18:07:51,654 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:29:47, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9800, loss_cls: 0.8944, loss: 0.8944 +2025-07-01 18:08:08,858 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:29:09, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7981, top5_acc: 0.9762, loss_cls: 0.9147, loss: 0.9147 +2025-07-01 18:08:26,239 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:28:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8175, top5_acc: 0.9731, loss_cls: 0.8875, loss: 0.8875 +2025-07-01 18:08:43,544 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:27:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9844, loss_cls: 0.8460, loss: 0.8460 +2025-07-01 18:09:01,207 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:27:29, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9756, loss_cls: 0.9052, loss: 0.9052 +2025-07-01 18:09:18,707 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:26:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9719, loss_cls: 0.8652, loss: 0.8652 +2025-07-01 18:09:36,399 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:26:28, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8031, top5_acc: 0.9744, loss_cls: 0.9071, loss: 0.9071 +2025-07-01 18:09:54,036 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-01 18:10:31,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:10:31,352 - pyskl - INFO - +top1_acc 0.8659 +top5_acc 0.9898 +2025-07-01 18:10:31,356 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_9.pth was removed +2025-07-01 18:10:31,577 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-01 18:10:31,578 - pyskl - INFO - Best top1_acc is 0.8659 at 10 epoch. +2025-07-01 18:10:31,579 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8659, top5_acc: 0.9898 +2025-07-01 18:11:13,510 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:27:06, time: 0.419, data_time: 0.245, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9706, loss_cls: 0.9179, loss: 0.9179 +2025-07-01 18:11:30,640 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:26:29, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9750, loss_cls: 0.8179, loss: 0.8179 +2025-07-01 18:11:48,680 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:26:05, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9825, loss_cls: 0.8595, loss: 0.8595 +2025-07-01 18:12:06,382 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:25:36, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9812, loss_cls: 0.8460, loss: 0.8460 +2025-07-01 18:12:23,901 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:25:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 0.8333, loss: 0.8333 +2025-07-01 18:12:41,398 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:24:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 0.8481, loss: 0.8481 +2025-07-01 18:12:58,884 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:24:03, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9781, loss_cls: 0.8807, loss: 0.8807 +2025-07-01 18:13:16,530 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:23:35, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 0.8248, loss: 0.8248 +2025-07-01 18:13:34,733 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-01 18:14:12,430 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:14:12,453 - pyskl - INFO - +top1_acc 0.8684 +top5_acc 0.9890 +2025-07-01 18:14:12,459 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_10.pth was removed +2025-07-01 18:14:12,635 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-01 18:14:12,635 - pyskl - INFO - Best top1_acc is 0.8684 at 11 epoch. +2025-07-01 18:14:12,637 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8684, top5_acc: 0.9890 +2025-07-01 18:14:54,483 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:24:05, time: 0.418, data_time: 0.242, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9788, loss_cls: 0.8688, loss: 0.8688 +2025-07-01 18:15:11,626 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:23:30, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 0.7290, loss: 0.7290 +2025-07-01 18:15:29,111 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:23:00, time: 0.175, data_time: 0.001, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9769, loss_cls: 0.8060, loss: 0.8060 +2025-07-01 18:15:46,361 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:22:27, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9744, loss_cls: 0.8261, loss: 0.8261 +2025-07-01 18:16:03,661 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:21:55, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9725, loss_cls: 0.8673, loss: 0.8673 +2025-07-01 18:16:21,362 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:21:28, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8281, top5_acc: 0.9731, loss_cls: 0.8460, loss: 0.8460 +2025-07-01 18:16:38,774 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:20:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9800, loss_cls: 0.8439, loss: 0.8439 +2025-07-01 18:16:56,294 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:20:29, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9800, loss_cls: 0.7920, loss: 0.7920 +2025-07-01 18:17:14,385 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-01 18:17:52,748 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:17:52,780 - pyskl - INFO - +top1_acc 0.8703 +top5_acc 0.9890 +2025-07-01 18:17:52,786 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_11.pth was removed +2025-07-01 18:17:53,031 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-01 18:17:53,032 - pyskl - INFO - Best top1_acc is 0.8703 at 12 epoch. +2025-07-01 18:17:53,033 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8703, top5_acc: 0.9890 +2025-07-01 18:18:35,796 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:21:04, time: 0.428, data_time: 0.250, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9750, loss_cls: 0.8326, loss: 0.8326 +2025-07-01 18:18:53,038 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:20:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9856, loss_cls: 0.6885, loss: 0.6885 +2025-07-01 18:19:10,617 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:20:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9750, loss_cls: 0.8226, loss: 0.8226 +2025-07-01 18:19:27,652 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:19:29, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9806, loss_cls: 0.8290, loss: 0.8290 +2025-07-01 18:19:45,339 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:19:03, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8281, top5_acc: 0.9750, loss_cls: 0.8356, loss: 0.8356 +2025-07-01 18:20:02,752 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:18:33, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7715, loss: 0.7715 +2025-07-01 18:20:19,767 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:18:00, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 0.7805, loss: 0.7805 +2025-07-01 18:20:37,126 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:17:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9769, loss_cls: 0.8177, loss: 0.8177 +2025-07-01 18:20:55,257 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-01 18:21:33,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:21:33,077 - pyskl - INFO - +top1_acc 0.9055 +top5_acc 0.9887 +2025-07-01 18:21:33,081 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_12.pth was removed +2025-07-01 18:21:33,312 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-01 18:21:33,313 - pyskl - INFO - Best top1_acc is 0.9055 at 13 epoch. +2025-07-01 18:21:33,314 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.9055, top5_acc: 0.9887 +2025-07-01 18:22:14,920 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:17:48, time: 0.416, data_time: 0.241, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9831, loss_cls: 0.7586, loss: 0.7586 +2025-07-01 18:22:31,828 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:17:14, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 0.7812, loss: 0.7812 +2025-07-01 18:22:49,373 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:16:46, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9781, loss_cls: 0.8181, loss: 0.8181 +2025-07-01 18:23:07,564 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:16:25, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 0.7240, loss: 0.7240 +2025-07-01 18:23:25,518 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:16:02, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9781, loss_cls: 0.8012, loss: 0.8012 +2025-07-01 18:23:42,912 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:15:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 0.7755, loss: 0.7755 +2025-07-01 18:24:00,512 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:15:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 0.7230, loss: 0.7230 +2025-07-01 18:24:17,977 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:14:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9825, loss_cls: 0.7494, loss: 0.7494 +2025-07-01 18:24:35,793 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-01 18:25:12,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:25:12,991 - pyskl - INFO - +top1_acc 0.8838 +top5_acc 0.9905 +2025-07-01 18:25:12,993 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8838, top5_acc: 0.9905 +2025-07-01 18:25:54,645 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:14:54, time: 0.416, data_time: 0.242, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 0.7575, loss: 0.7575 +2025-07-01 18:26:11,659 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:14:22, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9900, loss_cls: 0.6398, loss: 0.6398 +2025-07-01 18:26:29,088 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:13:54, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9838, loss_cls: 0.7706, loss: 0.7706 +2025-07-01 18:26:46,424 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:13:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9812, loss_cls: 0.7395, loss: 0.7395 +2025-07-01 18:27:03,882 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:12:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9731, loss_cls: 0.7969, loss: 0.7969 +2025-07-01 18:27:21,428 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:12:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9762, loss_cls: 0.7951, loss: 0.7951 +2025-07-01 18:27:38,676 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:12:03, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9869, loss_cls: 0.7160, loss: 0.7160 +2025-07-01 18:27:55,826 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:11:33, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9744, loss_cls: 0.7682, loss: 0.7682 +2025-07-01 18:28:13,281 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-01 18:28:50,966 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:28:50,988 - pyskl - INFO - +top1_acc 0.9052 +top5_acc 0.9922 +2025-07-01 18:28:50,990 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.9052, top5_acc: 0.9922 +2025-07-01 18:29:33,142 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:11:48, time: 0.421, data_time: 0.246, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9856, loss_cls: 0.6675, loss: 0.6675 +2025-07-01 18:29:50,157 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:11:18, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9819, loss_cls: 0.6545, loss: 0.6545 +2025-07-01 18:30:07,617 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:10:51, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9831, loss_cls: 0.7640, loss: 0.7640 +2025-07-01 18:30:25,517 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:10:28, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9869, loss_cls: 0.7120, loss: 0.7120 +2025-07-01 18:30:43,002 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:10:02, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 0.7252, loss: 0.7252 +2025-07-01 18:31:00,607 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:09:37, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9806, loss_cls: 0.7136, loss: 0.7136 +2025-07-01 18:31:17,935 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:09:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9750, loss_cls: 0.7780, loss: 0.7780 +2025-07-01 18:31:35,526 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:08:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9856, loss_cls: 0.7061, loss: 0.7061 +2025-07-01 18:31:53,330 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-01 18:32:30,135 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:32:30,158 - pyskl - INFO - +top1_acc 0.8492 +top5_acc 0.9889 +2025-07-01 18:32:30,159 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8492, top5_acc: 0.9889 +2025-07-01 18:33:12,600 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:08:58, time: 0.424, data_time: 0.253, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9894, loss_cls: 0.6775, loss: 0.6775 +2025-07-01 18:33:29,526 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:08:28, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.6587, loss: 0.6587 +2025-07-01 18:33:46,748 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:07:59, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9844, loss_cls: 0.7409, loss: 0.7409 +2025-07-01 18:34:04,291 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:07:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 0.7617, loss: 0.7617 +2025-07-01 18:34:21,692 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:07:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 0.7049, loss: 0.7049 +2025-07-01 18:34:38,870 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:06:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9825, loss_cls: 0.7225, loss: 0.7225 +2025-07-01 18:34:55,978 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:06:11, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 0.6852, loss: 0.6852 +2025-07-01 18:35:13,610 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:05:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 0.7621, loss: 0.7621 +2025-07-01 18:35:31,457 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-01 18:36:09,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:36:09,125 - pyskl - INFO - +top1_acc 0.8895 +top5_acc 0.9868 +2025-07-01 18:36:09,127 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8895, top5_acc: 0.9868 +2025-07-01 18:36:51,486 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:05:57, time: 0.424, data_time: 0.251, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 0.7156, loss: 0.7156 +2025-07-01 18:37:08,608 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:05:29, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 0.6324, loss: 0.6324 +2025-07-01 18:37:25,717 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:05:01, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 0.6775, loss: 0.6775 +2025-07-01 18:37:43,387 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:04:37, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9844, loss_cls: 0.6984, loss: 0.6984 +2025-07-01 18:38:01,045 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:04:13, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 0.7484, loss: 0.7484 +2025-07-01 18:38:18,468 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:03:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 0.6841, loss: 0.6841 +2025-07-01 18:38:36,223 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:03:25, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9812, loss_cls: 0.6438, loss: 0.6438 +2025-07-01 18:38:54,184 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:03:03, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9838, loss_cls: 0.7357, loss: 0.7357 +2025-07-01 18:39:12,380 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-01 18:39:49,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:39:49,119 - pyskl - INFO - +top1_acc 0.8806 +top5_acc 0.9871 +2025-07-01 18:39:49,121 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8806, top5_acc: 0.9871 +2025-07-01 18:40:30,178 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:03:01, time: 0.411, data_time: 0.240, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9794, loss_cls: 0.6937, loss: 0.6937 +2025-07-01 18:40:47,229 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:02:33, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 0.6542, loss: 0.6542 +2025-07-01 18:41:04,529 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:02:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 0.6279, loss: 0.6279 +2025-07-01 18:41:22,302 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:01:44, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9844, loss_cls: 0.6640, loss: 0.6640 +2025-07-01 18:41:39,959 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:01:21, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 0.6538, loss: 0.6538 +2025-07-01 18:41:57,394 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:00:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9756, loss_cls: 0.7313, loss: 0.7313 +2025-07-01 18:42:14,795 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 6:00:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9875, loss_cls: 0.6763, loss: 0.6763 +2025-07-01 18:42:32,389 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 6:00:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9831, loss_cls: 0.6942, loss: 0.6942 +2025-07-01 18:42:50,317 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-01 18:43:27,497 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:43:27,525 - pyskl - INFO - +top1_acc 0.9040 +top5_acc 0.9919 +2025-07-01 18:43:27,526 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.9040, top5_acc: 0.9919 +2025-07-01 18:44:08,792 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 6:00:05, time: 0.413, data_time: 0.239, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9881, loss_cls: 0.6792, loss: 0.6792 +2025-07-01 18:44:26,051 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:59:39, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9838, loss_cls: 0.6764, loss: 0.6764 +2025-07-01 18:44:43,312 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:59:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9781, loss_cls: 0.6898, loss: 0.6898 +2025-07-01 18:45:00,685 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:58:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9912, loss_cls: 0.5964, loss: 0.5964 +2025-07-01 18:45:18,253 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:58:24, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 0.6003, loss: 0.6003 +2025-07-01 18:45:35,704 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:58:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7258, loss: 0.7258 +2025-07-01 18:45:53,115 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:57:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9812, loss_cls: 0.6952, loss: 0.6952 +2025-07-01 18:46:10,608 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:57:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9862, loss_cls: 0.6785, loss: 0.6785 +2025-07-01 18:46:28,431 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-01 18:47:05,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:47:05,607 - pyskl - INFO - +top1_acc 0.9023 +top5_acc 0.9905 +2025-07-01 18:47:05,608 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.9023, top5_acc: 0.9905 +2025-07-01 18:47:46,958 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:57:07, time: 0.413, data_time: 0.238, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9850, loss_cls: 0.6610, loss: 0.6610 +2025-07-01 18:48:04,411 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:56:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9838, loss_cls: 0.6398, loss: 0.6398 +2025-07-01 18:48:21,917 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:56:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 0.6204, loss: 0.6204 +2025-07-01 18:48:39,504 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:55:56, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9869, loss_cls: 0.7004, loss: 0.7004 +2025-07-01 18:48:57,116 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:55:33, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 0.6946, loss: 0.6946 +2025-07-01 18:49:14,535 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:55:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9888, loss_cls: 0.6593, loss: 0.6593 +2025-07-01 18:49:32,257 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:54:46, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6569, loss: 0.6569 +2025-07-01 18:49:50,130 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:54:25, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 0.6481, loss: 0.6481 +2025-07-01 18:50:07,916 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-01 18:50:45,164 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:50:45,193 - pyskl - INFO - +top1_acc 0.8756 +top5_acc 0.9866 +2025-07-01 18:50:45,194 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8756, top5_acc: 0.9866 +2025-07-01 18:51:26,871 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:54:21, time: 0.417, data_time: 0.243, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 0.6637, loss: 0.6637 +2025-07-01 18:51:44,104 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:53:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9869, loss_cls: 0.6508, loss: 0.6508 +2025-07-01 18:52:01,246 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:53:30, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6121, loss: 0.6121 +2025-07-01 18:52:18,867 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:53:08, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.5900, loss: 0.5900 +2025-07-01 18:52:36,665 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:52:46, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9812, loss_cls: 0.6275, loss: 0.6275 +2025-07-01 18:52:53,807 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:52:20, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 0.6741, loss: 0.6741 +2025-07-01 18:53:11,216 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:51:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 0.6107, loss: 0.6107 +2025-07-01 18:53:28,467 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:51:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 0.6429, loss: 0.6429 +2025-07-01 18:53:46,182 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-01 18:54:23,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:54:23,785 - pyskl - INFO - +top1_acc 0.8816 +top5_acc 0.9904 +2025-07-01 18:54:23,786 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8816, top5_acc: 0.9904 +2025-07-01 18:55:06,014 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:51:30, time: 0.422, data_time: 0.246, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5814, loss: 0.5814 +2025-07-01 18:55:23,519 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:51:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 0.6111, loss: 0.6111 +2025-07-01 18:55:40,701 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:50:41, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 0.6919, loss: 0.6919 +2025-07-01 18:55:58,249 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:50:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5657, loss: 0.5657 +2025-07-01 18:56:16,164 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:49:58, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 0.6394, loss: 0.6394 +2025-07-01 18:56:33,526 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:49:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6584, loss: 0.6584 +2025-07-01 18:56:50,995 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:49:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 0.6020, loss: 0.6020 +2025-07-01 18:57:08,331 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:48:47, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6172, loss: 0.6172 +2025-07-01 18:57:26,271 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-01 18:58:03,564 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:58:03,587 - pyskl - INFO - +top1_acc 0.9250 +top5_acc 0.9917 +2025-07-01 18:58:03,591 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_13.pth was removed +2025-07-01 18:58:03,766 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-01 18:58:03,766 - pyskl - INFO - Best top1_acc is 0.9250 at 23 epoch. +2025-07-01 18:58:03,768 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.9250, top5_acc: 0.9917 +2025-07-01 18:58:46,032 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:48:43, time: 0.423, data_time: 0.247, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9850, loss_cls: 0.5877, loss: 0.5877 +2025-07-01 18:59:03,617 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:48:20, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5505, loss: 0.5505 +2025-07-01 18:59:21,089 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:47:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9900, loss_cls: 0.6157, loss: 0.6157 +2025-07-01 18:59:38,346 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:47:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9881, loss_cls: 0.5980, loss: 0.5980 +2025-07-01 18:59:56,166 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:47:12, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6017, loss: 0.6017 +2025-07-01 19:00:13,335 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:46:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6139, loss: 0.6139 +2025-07-01 19:00:31,084 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:46:26, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9894, loss_cls: 0.6066, loss: 0.6066 +2025-07-01 19:00:48,527 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:46:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9831, loss_cls: 0.6362, loss: 0.6362 +2025-07-01 19:01:06,443 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-01 19:01:43,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:01:43,751 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9919 +2025-07-01 19:01:43,753 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9064, top5_acc: 0.9919 +2025-07-01 19:02:25,665 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:45:55, time: 0.419, data_time: 0.245, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9919, loss_cls: 0.5616, loss: 0.5616 +2025-07-01 19:02:42,893 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:45:31, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 0.6531, loss: 0.6531 +2025-07-01 19:02:59,930 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:45:06, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.5814, loss: 0.5814 +2025-07-01 19:03:17,250 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:44:42, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.5844, loss: 0.5844 +2025-07-01 19:03:35,039 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:44:21, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 0.6039, loss: 0.6039 +2025-07-01 19:03:52,175 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:43:57, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.5712, loss: 0.5712 +2025-07-01 19:04:09,508 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:43:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 0.6232, loss: 0.6232 +2025-07-01 19:04:27,205 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:43:12, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.6266, loss: 0.6266 +2025-07-01 19:04:45,204 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-01 19:05:22,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:05:22,310 - pyskl - INFO - +top1_acc 0.8931 +top5_acc 0.9900 +2025-07-01 19:05:22,312 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8931, top5_acc: 0.9900 +2025-07-01 19:06:04,481 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:43:05, time: 0.422, data_time: 0.249, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5632, loss: 0.5632 +2025-07-01 19:06:21,703 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:42:41, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 0.5690, loss: 0.5690 +2025-07-01 19:06:39,142 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:42:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 0.6102, loss: 0.6102 +2025-07-01 19:06:56,376 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:41:54, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.6154, loss: 0.6154 +2025-07-01 19:07:14,711 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:41:36, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5502, loss: 0.5502 +2025-07-01 19:07:31,858 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:41:12, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.5949, loss: 0.5949 +2025-07-01 19:07:49,433 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:40:50, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5666, loss: 0.5666 +2025-07-01 19:08:06,922 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:40:27, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.6444, loss: 0.6444 +2025-07-01 19:08:24,767 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-01 19:09:02,271 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:09:02,299 - pyskl - INFO - +top1_acc 0.8713 +top5_acc 0.9925 +2025-07-01 19:09:02,300 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.8713, top5_acc: 0.9925 +2025-07-01 19:09:44,788 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:40:20, time: 0.425, data_time: 0.250, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9888, loss_cls: 0.6116, loss: 0.6116 +2025-07-01 19:10:01,882 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:39:56, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5545, loss: 0.5545 +2025-07-01 19:10:18,962 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:39:32, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 0.5863, loss: 0.5863 +2025-07-01 19:10:35,971 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:39:07, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.5039, loss: 0.5039 +2025-07-01 19:10:53,798 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:38:46, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6048, loss: 0.6048 +2025-07-01 19:11:11,169 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:38:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 0.5686, loss: 0.5686 +2025-07-01 19:11:28,672 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:38:01, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9900, loss_cls: 0.6026, loss: 0.6026 +2025-07-01 19:11:46,112 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:37:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.5830, loss: 0.5830 +2025-07-01 19:12:04,201 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-01 19:12:41,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:12:41,274 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9937 +2025-07-01 19:12:41,275 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.9161, top5_acc: 0.9937 +2025-07-01 19:13:22,966 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:37:27, time: 0.417, data_time: 0.241, memory: 2902, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.4880, loss: 0.4880 +2025-07-01 19:13:40,085 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:37:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.5880, loss: 0.5880 +2025-07-01 19:13:57,248 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:36:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 0.5642, loss: 0.5642 +2025-07-01 19:14:14,144 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:36:15, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 0.5866, loss: 0.5866 +2025-07-01 19:14:31,937 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:35:54, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9875, loss_cls: 0.5830, loss: 0.5830 +2025-07-01 19:14:49,080 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:35:31, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9900, loss_cls: 0.5738, loss: 0.5738 +2025-07-01 19:15:06,680 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:35:09, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 0.5899, loss: 0.5899 +2025-07-01 19:15:24,273 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:34:48, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8975, top5_acc: 0.9838, loss_cls: 0.5464, loss: 0.5464 +2025-07-01 19:15:42,264 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-01 19:16:18,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:16:18,592 - pyskl - INFO - +top1_acc 0.8941 +top5_acc 0.9908 +2025-07-01 19:16:18,593 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8941, top5_acc: 0.9908 +2025-07-01 19:17:00,679 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:34:36, time: 0.421, data_time: 0.244, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.5584, loss: 0.5584 +2025-07-01 19:17:17,868 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:34:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9912, loss_cls: 0.5284, loss: 0.5284 +2025-07-01 19:17:35,005 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:33:50, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9906, loss_cls: 0.5497, loss: 0.5497 +2025-07-01 19:17:52,454 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:33:28, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6237, loss: 0.6237 +2025-07-01 19:18:09,943 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:33:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 0.5799, loss: 0.5799 +2025-07-01 19:18:27,192 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:32:43, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5274, loss: 0.5274 +2025-07-01 19:18:44,679 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:32:21, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.5841, loss: 0.5841 +2025-07-01 19:19:02,262 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:31:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 0.5773, loss: 0.5773 +2025-07-01 19:19:20,101 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-01 19:19:56,220 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:19:56,243 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9883 +2025-07-01 19:19:56,244 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9016, top5_acc: 0.9883 +2025-07-01 19:20:37,761 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:31:45, time: 0.415, data_time: 0.231, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9819, loss_cls: 0.5619, loss: 0.5619 +2025-07-01 19:20:55,755 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:31:25, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5358, loss: 0.5358 +2025-07-01 19:21:13,826 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:31:06, time: 0.181, data_time: 0.001, memory: 2902, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 0.5278, loss: 0.5278 +2025-07-01 19:21:31,982 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:30:47, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9850, loss_cls: 0.5250, loss: 0.5250 +2025-07-01 19:21:50,382 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:30:29, time: 0.184, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9888, loss_cls: 0.6009, loss: 0.6009 +2025-07-01 19:22:08,540 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:30:10, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.4823, loss: 0.4823 +2025-07-01 19:22:26,783 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:29:51, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8962, top5_acc: 0.9812, loss_cls: 0.5454, loss: 0.5454 +2025-07-01 19:22:45,146 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:29:33, time: 0.184, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9900, loss_cls: 0.5633, loss: 0.5633 +2025-07-01 19:23:03,524 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-01 19:23:39,619 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:23:39,642 - pyskl - INFO - +top1_acc 0.8536 +top5_acc 0.9872 +2025-07-01 19:23:39,643 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.8536, top5_acc: 0.9872 +2025-07-01 19:24:21,730 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:29:19, time: 0.421, data_time: 0.234, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5838, loss: 0.5838 +2025-07-01 19:24:39,796 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:29:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 0.6155, loss: 0.6155 +2025-07-01 19:24:57,952 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:28:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 0.5844, loss: 0.5844 +2025-07-01 19:25:16,039 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:28:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5895, loss: 0.5895 +2025-07-01 19:25:34,222 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:28:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 0.5643, loss: 0.5643 +2025-07-01 19:25:52,415 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:27:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8631, top5_acc: 0.9812, loss_cls: 0.6978, loss: 0.6978 +2025-07-01 19:26:10,475 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:27:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9819, loss_cls: 0.6505, loss: 0.6505 +2025-07-01 19:26:28,446 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:27:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6606, loss: 0.6606 +2025-07-01 19:26:47,293 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-01 19:27:24,702 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:27:24,728 - pyskl - INFO - +top1_acc 0.9114 +top5_acc 0.9907 +2025-07-01 19:27:24,729 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.9114, top5_acc: 0.9907 +2025-07-01 19:28:07,732 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:26:53, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5938, loss: 0.5938 +2025-07-01 19:28:25,950 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:26:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5810, loss: 0.5810 +2025-07-01 19:28:43,917 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:26:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 0.6153, loss: 0.6153 +2025-07-01 19:29:01,619 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:25:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 0.5440, loss: 0.5440 +2025-07-01 19:29:19,936 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:25:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.6268, loss: 0.6268 +2025-07-01 19:29:38,158 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:25:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9906, loss_cls: 0.6036, loss: 0.6036 +2025-07-01 19:29:56,053 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:24:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 0.6091, loss: 0.6091 +2025-07-01 19:30:14,273 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:24:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5872, loss: 0.5872 +2025-07-01 19:30:32,681 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-01 19:31:09,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:31:09,348 - pyskl - INFO - +top1_acc 0.9150 +top5_acc 0.9944 +2025-07-01 19:31:09,349 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.9150, top5_acc: 0.9944 +2025-07-01 19:31:52,033 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:24:24, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.5756, loss: 0.5756 +2025-07-01 19:32:10,540 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:24:06, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.5414, loss: 0.5414 +2025-07-01 19:32:28,518 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:23:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9850, loss_cls: 0.5742, loss: 0.5742 +2025-07-01 19:32:46,130 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:23:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5667, loss: 0.5667 +2025-07-01 19:33:04,296 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:23:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 0.6048, loss: 0.6048 +2025-07-01 19:33:22,134 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:22:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5481, loss: 0.5481 +2025-07-01 19:33:40,205 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:22:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5748, loss: 0.5748 +2025-07-01 19:33:58,024 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:22:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5820, loss: 0.5820 +2025-07-01 19:34:16,494 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-01 19:34:53,265 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:34:53,294 - pyskl - INFO - +top1_acc 0.9249 +top5_acc 0.9939 +2025-07-01 19:34:53,295 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.9249, top5_acc: 0.9939 +2025-07-01 19:35:36,887 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:21:55, time: 0.436, data_time: 0.250, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5889, loss: 0.5889 +2025-07-01 19:35:54,807 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:21:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5407, loss: 0.5407 +2025-07-01 19:36:13,068 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:21:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.5078, loss: 0.5078 +2025-07-01 19:36:31,500 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:20:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5815, loss: 0.5815 +2025-07-01 19:36:49,564 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:20:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.5916, loss: 0.5916 +2025-07-01 19:37:07,839 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:20:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9869, loss_cls: 0.5424, loss: 0.5424 +2025-07-01 19:37:25,801 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:19:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 0.6173, loss: 0.6173 +2025-07-01 19:37:43,935 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:19:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 0.5974, loss: 0.5974 +2025-07-01 19:38:02,531 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-01 19:38:39,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:38:39,813 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9921 +2025-07-01 19:38:39,815 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9013, top5_acc: 0.9921 +2025-07-01 19:39:23,149 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:19:27, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 0.5328, loss: 0.5328 +2025-07-01 19:39:41,111 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:19:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5137, loss: 0.5137 +2025-07-01 19:39:58,943 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:18:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9856, loss_cls: 0.5356, loss: 0.5356 +2025-07-01 19:40:16,803 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:18:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.5782, loss: 0.5782 +2025-07-01 19:40:34,923 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:18:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5120, loss: 0.5120 +2025-07-01 19:40:53,256 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:17:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5749, loss: 0.5749 +2025-07-01 19:41:11,133 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:17:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 0.5894, loss: 0.5894 +2025-07-01 19:41:29,453 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:17:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9844, loss_cls: 0.5908, loss: 0.5908 +2025-07-01 19:41:47,933 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-01 19:42:25,472 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:42:25,494 - pyskl - INFO - +top1_acc 0.9311 +top5_acc 0.9944 +2025-07-01 19:42:25,499 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_23.pth was removed +2025-07-01 19:42:25,696 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. +2025-07-01 19:42:25,696 - pyskl - INFO - Best top1_acc is 0.9311 at 35 epoch. +2025-07-01 19:42:25,698 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9311, top5_acc: 0.9944 +2025-07-01 19:43:08,016 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:16:52, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4781, loss: 0.4781 +2025-07-01 19:43:26,071 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:16:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9912, loss_cls: 0.5746, loss: 0.5746 +2025-07-01 19:43:44,035 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:16:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5169, loss: 0.5169 +2025-07-01 19:44:01,575 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:15:51, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9856, loss_cls: 0.5754, loss: 0.5754 +2025-07-01 19:44:19,365 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:15:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5260, loss: 0.5260 +2025-07-01 19:44:37,724 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:15:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 0.5623, loss: 0.5623 +2025-07-01 19:44:55,877 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:14:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.4993, loss: 0.4993 +2025-07-01 19:45:13,897 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:14:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 0.6279, loss: 0.6279 +2025-07-01 19:45:32,218 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-01 19:46:08,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:46:08,915 - pyskl - INFO - +top1_acc 0.9193 +top5_acc 0.9944 +2025-07-01 19:46:08,916 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9193, top5_acc: 0.9944 +2025-07-01 19:46:52,055 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:14:17, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9806, loss_cls: 0.5249, loss: 0.5249 +2025-07-01 19:47:09,979 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:13:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5543, loss: 0.5543 +2025-07-01 19:47:27,971 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:13:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4609, loss: 0.4609 +2025-07-01 19:47:45,776 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:13:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5067, loss: 0.5067 +2025-07-01 19:48:03,726 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:12:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6116, loss: 0.6116 +2025-07-01 19:48:22,126 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:12:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9856, loss_cls: 0.5104, loss: 0.5104 +2025-07-01 19:48:40,223 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:12:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5184, loss: 0.5184 +2025-07-01 19:48:58,177 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:11:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9944, loss_cls: 0.5933, loss: 0.5933 +2025-07-01 19:49:16,576 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-01 19:49:53,484 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:49:53,507 - pyskl - INFO - +top1_acc 0.8808 +top5_acc 0.9903 +2025-07-01 19:49:53,508 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.8808, top5_acc: 0.9903 +2025-07-01 19:50:36,947 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:11:44, time: 0.434, data_time: 0.251, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5165, loss: 0.5165 +2025-07-01 19:50:54,940 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:11:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9906, loss_cls: 0.5562, loss: 0.5562 +2025-07-01 19:51:12,843 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:11:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5345, loss: 0.5345 +2025-07-01 19:51:31,024 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:10:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.5066, loss: 0.5066 +2025-07-01 19:51:48,931 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:10:25, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4816, loss: 0.4816 +2025-07-01 19:52:07,176 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:10:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9919, loss_cls: 0.5398, loss: 0.5398 +2025-07-01 19:52:25,001 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:09:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5241, loss: 0.5241 +2025-07-01 19:52:42,959 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:09:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.5640, loss: 0.5640 +2025-07-01 19:53:01,438 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-01 19:53:38,280 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:53:38,302 - pyskl - INFO - +top1_acc 0.9160 +top5_acc 0.9937 +2025-07-01 19:53:38,303 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9160, top5_acc: 0.9937 +2025-07-01 19:54:20,589 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:09:06, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.4996, loss: 0.4996 +2025-07-01 19:54:38,375 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:08:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4798, loss: 0.4798 +2025-07-01 19:54:56,431 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:08:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4583, loss: 0.4583 +2025-07-01 19:55:14,198 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:08:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 0.5181, loss: 0.5181 +2025-07-01 19:55:31,826 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:07:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 0.5717, loss: 0.5717 +2025-07-01 19:55:50,101 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:07:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.5747, loss: 0.5747 +2025-07-01 19:56:08,045 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:07:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5385, loss: 0.5385 +2025-07-01 19:56:26,030 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:06:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5062, loss: 0.5062 +2025-07-01 19:56:44,871 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-01 19:57:22,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:57:22,048 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9918 +2025-07-01 19:57:22,049 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9168, top5_acc: 0.9918 +2025-07-01 19:58:04,657 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:06:27, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4940, loss: 0.4940 +2025-07-01 19:58:22,512 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:06:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4307, loss: 0.4307 +2025-07-01 19:58:40,537 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:05:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5552, loss: 0.5552 +2025-07-01 19:58:58,530 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:05:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.5125, loss: 0.5125 +2025-07-01 19:59:16,420 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:05:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.4890, loss: 0.4890 +2025-07-01 19:59:34,986 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:04:49, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 0.5399, loss: 0.5399 +2025-07-01 19:59:53,164 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:04:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.5107, loss: 0.5107 +2025-07-01 20:00:11,147 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:04:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5850, loss: 0.5850 +2025-07-01 20:00:29,700 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-01 20:01:06,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:01:06,029 - pyskl - INFO - +top1_acc 0.9242 +top5_acc 0.9942 +2025-07-01 20:01:06,030 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9242, top5_acc: 0.9942 +2025-07-01 20:01:48,270 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:03:49, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4537, loss: 0.4537 +2025-07-01 20:02:06,005 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:03:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4799, loss: 0.4799 +2025-07-01 20:02:24,029 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:03:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5231, loss: 0.5231 +2025-07-01 20:02:42,093 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:02:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4523, loss: 0.4523 +2025-07-01 20:03:00,032 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:02:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.5063, loss: 0.5063 +2025-07-01 20:03:18,062 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:02:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5464, loss: 0.5464 +2025-07-01 20:03:35,997 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:01:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5044, loss: 0.5044 +2025-07-01 20:03:53,941 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:01:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5257, loss: 0.5257 +2025-07-01 20:04:12,330 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-01 20:04:48,899 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:04:48,925 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9954 +2025-07-01 20:04:48,929 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_35.pth was removed +2025-07-01 20:04:49,101 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-01 20:04:49,102 - pyskl - INFO - Best top1_acc is 0.9423 at 41 epoch. +2025-07-01 20:04:49,103 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9423, top5_acc: 0.9954 +2025-07-01 20:05:31,734 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:01:09, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4656, loss: 0.4656 +2025-07-01 20:05:49,751 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:00:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9881, loss_cls: 0.4217, loss: 0.4217 +2025-07-01 20:06:07,839 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:00:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9950, loss_cls: 0.5099, loss: 0.5099 +2025-07-01 20:06:25,568 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 5:00:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 0.4995, loss: 0.4995 +2025-07-01 20:06:43,623 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:59:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5379, loss: 0.5379 +2025-07-01 20:07:01,523 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:59:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4795, loss: 0.4795 +2025-07-01 20:07:19,680 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:59:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 0.5029, loss: 0.5029 +2025-07-01 20:07:37,924 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:58:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5211, loss: 0.5211 +2025-07-01 20:07:56,221 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-01 20:08:33,471 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:08:33,500 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9942 +2025-07-01 20:08:33,501 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9388, top5_acc: 0.9942 +2025-07-01 20:09:17,038 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:58:33, time: 0.435, data_time: 0.246, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.5136, loss: 0.5136 +2025-07-01 20:09:35,291 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:58:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4825, loss: 0.4825 +2025-07-01 20:09:53,451 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:57:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5041, loss: 0.5041 +2025-07-01 20:10:11,197 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:57:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5239, loss: 0.5239 +2025-07-01 20:10:29,232 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:57:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5174, loss: 0.5174 +2025-07-01 20:10:47,012 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:56:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4326, loss: 0.4326 +2025-07-01 20:11:05,067 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:56:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4724, loss: 0.4724 +2025-07-01 20:11:22,952 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:56:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 0.5362, loss: 0.5362 +2025-07-01 20:11:41,405 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-01 20:12:18,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:12:18,276 - pyskl - INFO - +top1_acc 0.9210 +top5_acc 0.9942 +2025-07-01 20:12:18,277 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9210, top5_acc: 0.9942 +2025-07-01 20:13:00,848 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:55:53, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5256, loss: 0.5256 +2025-07-01 20:13:18,464 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:55:32, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4661, loss: 0.4661 +2025-07-01 20:13:36,555 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:55:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5267, loss: 0.5267 +2025-07-01 20:13:54,205 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:54:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5359, loss: 0.5359 +2025-07-01 20:14:12,285 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:54:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 0.4795, loss: 0.4795 +2025-07-01 20:14:30,375 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:54:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5401, loss: 0.5401 +2025-07-01 20:14:48,141 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:53:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5205, loss: 0.5205 +2025-07-01 20:15:06,024 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:53:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.4800, loss: 0.4800 +2025-07-01 20:15:24,228 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-01 20:16:01,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:16:01,052 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9932 +2025-07-01 20:16:01,053 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9338, top5_acc: 0.9932 +2025-07-01 20:16:42,982 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:53:09, time: 0.419, data_time: 0.237, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.4891, loss: 0.4891 +2025-07-01 20:17:01,008 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:52:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4799, loss: 0.4799 +2025-07-01 20:17:19,509 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:52:31, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4609, loss: 0.4609 +2025-07-01 20:17:37,292 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:52:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4715, loss: 0.4715 +2025-07-01 20:17:55,261 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:51:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.4886, loss: 0.4886 +2025-07-01 20:18:13,383 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:51:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.4466, loss: 0.4466 +2025-07-01 20:18:31,286 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:51:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 0.5312, loss: 0.5312 +2025-07-01 20:18:48,990 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:50:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5174, loss: 0.5174 +2025-07-01 20:19:07,356 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-01 20:19:44,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:19:44,998 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9936 +2025-07-01 20:19:45,000 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9275, top5_acc: 0.9936 +2025-07-01 20:20:27,948 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:50:30, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5598, loss: 0.5598 +2025-07-01 20:20:45,779 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:50:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4217, loss: 0.4217 +2025-07-01 20:21:03,827 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:49:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3924, loss: 0.3924 +2025-07-01 20:21:21,485 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:49:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9944, loss_cls: 0.4714, loss: 0.4714 +2025-07-01 20:21:39,347 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:49:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.4952, loss: 0.4952 +2025-07-01 20:21:57,390 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:48:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9931, loss_cls: 0.4845, loss: 0.4845 +2025-07-01 20:22:15,213 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:48:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 0.5191, loss: 0.5191 +2025-07-01 20:22:33,204 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:48:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4833, loss: 0.4833 +2025-07-01 20:22:51,635 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-01 20:23:29,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:23:29,098 - pyskl - INFO - +top1_acc 0.9206 +top5_acc 0.9923 +2025-07-01 20:23:29,100 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9206, top5_acc: 0.9923 +2025-07-01 20:24:11,756 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:47:47, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9844, loss_cls: 0.5138, loss: 0.5138 +2025-07-01 20:24:30,240 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:47:29, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9875, loss_cls: 0.4604, loss: 0.4604 +2025-07-01 20:24:48,374 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:47:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4891, loss: 0.4891 +2025-07-01 20:25:06,468 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:46:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4375, loss: 0.4375 +2025-07-01 20:25:24,756 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:46:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9931, loss_cls: 0.5185, loss: 0.5185 +2025-07-01 20:25:42,872 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:46:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.4940, loss: 0.4940 +2025-07-01 20:26:00,765 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:45:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.4978, loss: 0.4978 +2025-07-01 20:26:18,777 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:45:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.4724, loss: 0.4724 +2025-07-01 20:26:37,285 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-01 20:27:14,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:27:14,233 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9946 +2025-07-01 20:27:14,234 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9349, top5_acc: 0.9946 +2025-07-01 20:27:56,997 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:45:09, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9850, loss_cls: 0.5379, loss: 0.5379 +2025-07-01 20:28:15,164 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:44:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4777, loss: 0.4777 +2025-07-01 20:28:33,508 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:44:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4592, loss: 0.4592 +2025-07-01 20:28:51,676 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:44:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3855, loss: 0.3855 +2025-07-01 20:29:09,633 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:43:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.4554, loss: 0.4554 +2025-07-01 20:29:27,494 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:43:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4930, loss: 0.4930 +2025-07-01 20:29:45,764 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:43:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.4863, loss: 0.4863 +2025-07-01 20:30:03,831 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:42:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5330, loss: 0.5330 +2025-07-01 20:30:22,170 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-01 20:30:59,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:30:59,370 - pyskl - INFO - +top1_acc 0.9185 +top5_acc 0.9936 +2025-07-01 20:30:59,372 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9185, top5_acc: 0.9936 +2025-07-01 20:31:41,640 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:42:29, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9844, loss_cls: 0.5043, loss: 0.5043 +2025-07-01 20:31:59,174 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:42:08, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4216, loss: 0.4216 +2025-07-01 20:32:17,442 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:41:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4881, loss: 0.4881 +2025-07-01 20:32:35,261 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:41:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4497, loss: 0.4497 +2025-07-01 20:32:53,510 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:41:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.4827, loss: 0.4827 +2025-07-01 20:33:11,482 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:40:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.4930, loss: 0.4930 +2025-07-01 20:33:29,612 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:40:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4553, loss: 0.4553 +2025-07-01 20:33:47,556 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:40:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4639, loss: 0.4639 +2025-07-01 20:34:06,191 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-01 20:34:43,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:34:43,837 - pyskl - INFO - +top1_acc 0.9389 +top5_acc 0.9953 +2025-07-01 20:34:43,838 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9389, top5_acc: 0.9953 +2025-07-01 20:35:26,218 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:39:46, time: 0.424, data_time: 0.244, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4910, loss: 0.4910 +2025-07-01 20:35:44,055 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:39:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4253, loss: 0.4253 +2025-07-01 20:36:02,431 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:39:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.4470, loss: 0.4470 +2025-07-01 20:36:20,412 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:38:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 0.3833, loss: 0.3833 +2025-07-01 20:36:38,672 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:38:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4754, loss: 0.4754 +2025-07-01 20:36:56,848 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:38:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4706, loss: 0.4706 +2025-07-01 20:37:14,572 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:37:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4893, loss: 0.4893 +2025-07-01 20:37:32,204 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:37:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 0.4294, loss: 0.4294 +2025-07-01 20:37:50,498 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-01 20:38:28,015 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:38:28,038 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9903 +2025-07-01 20:38:28,039 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9275, top5_acc: 0.9903 +2025-07-01 20:39:10,611 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:37:04, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 0.4495, loss: 0.4495 +2025-07-01 20:39:28,631 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:36:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.5008, loss: 0.5008 +2025-07-01 20:39:46,356 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:36:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 0.3970, loss: 0.3970 +2025-07-01 20:40:04,806 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:36:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4335, loss: 0.4335 +2025-07-01 20:40:22,789 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:35:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.4536, loss: 0.4536 +2025-07-01 20:40:40,735 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:35:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3926, loss: 0.3926 +2025-07-01 20:40:59,021 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:35:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4517, loss: 0.4517 +2025-07-01 20:41:16,900 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:34:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9869, loss_cls: 0.4932, loss: 0.4932 +2025-07-01 20:41:35,387 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-01 20:42:11,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:42:11,812 - pyskl - INFO - +top1_acc 0.9336 +top5_acc 0.9944 +2025-07-01 20:42:11,813 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9336, top5_acc: 0.9944 +2025-07-01 20:42:53,987 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:34:22, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4407, loss: 0.4407 +2025-07-01 20:43:12,171 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:34:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4476, loss: 0.4476 +2025-07-01 20:43:30,327 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:33:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3491, loss: 0.3491 +2025-07-01 20:43:48,460 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:33:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3936, loss: 0.3936 +2025-07-01 20:44:06,653 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:33:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4507, loss: 0.4507 +2025-07-01 20:44:24,870 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:32:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4767, loss: 0.4767 +2025-07-01 20:44:42,939 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:32:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9888, loss_cls: 0.4429, loss: 0.4429 +2025-07-01 20:45:01,103 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:32:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5448, loss: 0.5448 +2025-07-01 20:45:19,268 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-01 20:45:55,707 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:45:55,735 - pyskl - INFO - +top1_acc 0.9502 +top5_acc 0.9961 +2025-07-01 20:45:55,740 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_41.pth was removed +2025-07-01 20:45:55,939 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-07-01 20:45:55,939 - pyskl - INFO - Best top1_acc is 0.9502 at 52 epoch. +2025-07-01 20:45:55,941 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9502, top5_acc: 0.9961 +2025-07-01 20:46:37,761 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:31:40, time: 0.418, data_time: 0.237, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4241, loss: 0.4241 +2025-07-01 20:46:56,126 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:31:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3857, loss: 0.3857 +2025-07-01 20:47:14,251 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:31:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4167, loss: 0.4167 +2025-07-01 20:47:32,727 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:30:43, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3523, loss: 0.3523 +2025-07-01 20:47:50,729 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:30:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4229, loss: 0.4229 +2025-07-01 20:48:09,133 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:30:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4681, loss: 0.4681 +2025-07-01 20:48:27,389 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:29:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4655, loss: 0.4655 +2025-07-01 20:48:45,244 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:29:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4793, loss: 0.4793 +2025-07-01 20:49:03,311 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-01 20:49:41,012 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:49:41,041 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9946 +2025-07-01 20:49:41,042 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9388, top5_acc: 0.9946 +2025-07-01 20:50:23,059 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:28:59, time: 0.420, data_time: 0.238, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 0.5236, loss: 0.5236 +2025-07-01 20:50:41,024 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:28:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9881, loss_cls: 0.4558, loss: 0.4558 +2025-07-01 20:50:58,602 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:28:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 0.4239, loss: 0.4239 +2025-07-01 20:51:16,473 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:27:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3670, loss: 0.3670 +2025-07-01 20:51:34,481 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:27:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9888, loss_cls: 0.4251, loss: 0.4251 +2025-07-01 20:51:52,356 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:27:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4829, loss: 0.4829 +2025-07-01 20:52:10,457 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:27:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4316, loss: 0.4316 +2025-07-01 20:52:28,587 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:26:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 0.4355, loss: 0.4355 +2025-07-01 20:52:47,123 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-01 20:53:24,541 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:53:24,564 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9940 +2025-07-01 20:53:24,565 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9364, top5_acc: 0.9940 +2025-07-01 20:54:06,857 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:26:14, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4265, loss: 0.4265 +2025-07-01 20:54:24,816 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:25:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.3975, loss: 0.3975 +2025-07-01 20:54:42,626 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:25:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.5028, loss: 0.5028 +2025-07-01 20:55:00,928 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:25:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 0.4284, loss: 0.4284 +2025-07-01 20:55:18,951 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:24:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4615, loss: 0.4615 +2025-07-01 20:55:37,085 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:24:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.3999, loss: 0.3999 +2025-07-01 20:55:54,959 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:24:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9900, loss_cls: 0.4424, loss: 0.4424 +2025-07-01 20:56:12,720 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:23:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4404, loss: 0.4404 +2025-07-01 20:56:31,036 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-01 20:57:07,714 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:57:07,741 - pyskl - INFO - +top1_acc 0.9224 +top5_acc 0.9925 +2025-07-01 20:57:07,742 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9224, top5_acc: 0.9925 +2025-07-01 20:57:50,603 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:23:31, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3932, loss: 0.3932 +2025-07-01 20:58:08,429 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:23:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4112, loss: 0.4112 +2025-07-01 20:58:26,564 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:22:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4201, loss: 0.4201 +2025-07-01 20:58:44,679 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:22:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.3932, loss: 0.3932 +2025-07-01 20:59:02,561 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:22:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4287, loss: 0.4287 +2025-07-01 20:59:20,340 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:21:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9912, loss_cls: 0.4094, loss: 0.4094 +2025-07-01 20:59:38,939 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:21:35, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4556, loss: 0.4556 +2025-07-01 20:59:57,134 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:21:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9869, loss_cls: 0.4587, loss: 0.4587 +2025-07-01 21:00:15,505 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-01 21:00:52,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:00:52,358 - pyskl - INFO - +top1_acc 0.9190 +top5_acc 0.9936 +2025-07-01 21:00:52,359 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9190, top5_acc: 0.9936 +2025-07-01 21:01:34,338 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:20:48, time: 0.420, data_time: 0.238, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3654, loss: 0.3654 +2025-07-01 21:01:52,251 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:20:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9894, loss_cls: 0.3911, loss: 0.3911 +2025-07-01 21:02:10,127 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:20:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3648, loss: 0.3648 +2025-07-01 21:02:28,104 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:19:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.3909, loss: 0.3909 +2025-07-01 21:02:46,608 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:19:30, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.4828, loss: 0.4828 +2025-07-01 21:03:04,569 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:19:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.4050, loss: 0.4050 +2025-07-01 21:03:22,891 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:18:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4012, loss: 0.4012 +2025-07-01 21:03:40,798 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:18:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.4062, loss: 0.4062 +2025-07-01 21:03:59,029 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-01 21:04:36,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:04:36,032 - pyskl - INFO - +top1_acc 0.9267 +top5_acc 0.9962 +2025-07-01 21:04:36,033 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9267, top5_acc: 0.9962 +2025-07-01 21:05:18,529 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:18:05, time: 0.425, data_time: 0.238, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4022, loss: 0.4022 +2025-07-01 21:05:36,541 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:17:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4393, loss: 0.4393 +2025-07-01 21:05:54,424 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:17:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4068, loss: 0.4068 +2025-07-01 21:06:12,224 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:17:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4423, loss: 0.4423 +2025-07-01 21:06:30,507 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:16:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4685, loss: 0.4685 +2025-07-01 21:06:48,495 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:16:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.3942, loss: 0.3942 +2025-07-01 21:07:07,031 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:16:09, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3423, loss: 0.3423 +2025-07-01 21:07:25,041 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:15:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4477, loss: 0.4477 +2025-07-01 21:07:43,150 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-01 21:08:20,789 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:08:20,812 - pyskl - INFO - +top1_acc 0.9385 +top5_acc 0.9949 +2025-07-01 21:08:20,813 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9385, top5_acc: 0.9949 +2025-07-01 21:09:04,014 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:15:23, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4589, loss: 0.4589 +2025-07-01 21:09:21,835 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:15:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.3946, loss: 0.3946 +2025-07-01 21:09:39,579 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:14:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9894, loss_cls: 0.3953, loss: 0.3953 +2025-07-01 21:09:57,500 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:14:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.4095, loss: 0.4095 +2025-07-01 21:10:15,443 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:14:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9912, loss_cls: 0.3917, loss: 0.3917 +2025-07-01 21:10:33,617 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:13:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4151, loss: 0.4151 +2025-07-01 21:10:51,315 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:13:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.3844, loss: 0.3844 +2025-07-01 21:11:09,669 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:13:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4092, loss: 0.4092 +2025-07-01 21:11:28,180 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-01 21:12:05,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:12:05,783 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9940 +2025-07-01 21:12:05,784 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9482, top5_acc: 0.9940 +2025-07-01 21:12:48,289 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:12:38, time: 0.425, data_time: 0.245, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4391, loss: 0.4391 +2025-07-01 21:13:06,019 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:12:18, time: 0.177, data_time: 0.001, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3834, loss: 0.3834 +2025-07-01 21:13:23,901 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:11:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3559, loss: 0.3559 +2025-07-01 21:13:42,281 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:11:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4281, loss: 0.4281 +2025-07-01 21:14:00,696 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:11:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3402, loss: 0.3402 +2025-07-01 21:14:18,662 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:11:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 0.3577, loss: 0.3577 +2025-07-01 21:14:36,930 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:10:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.4218, loss: 0.4218 +2025-07-01 21:14:55,064 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:10:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4242, loss: 0.4242 +2025-07-01 21:15:13,418 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-01 21:15:51,037 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:15:51,060 - pyskl - INFO - +top1_acc 0.9240 +top5_acc 0.9907 +2025-07-01 21:15:51,061 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9240, top5_acc: 0.9907 +2025-07-01 21:16:33,788 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:09:55, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4592, loss: 0.4592 +2025-07-01 21:16:52,090 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:09:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9981, loss_cls: 0.3280, loss: 0.3280 +2025-07-01 21:17:10,287 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:09:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 0.3548, loss: 0.3548 +2025-07-01 21:17:28,319 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:08:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3669, loss: 0.3669 +2025-07-01 21:17:46,560 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:08:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3894, loss: 0.3894 +2025-07-01 21:18:04,633 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:08:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.3660, loss: 0.3660 +2025-07-01 21:18:22,730 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:08:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9856, loss_cls: 0.4797, loss: 0.4797 +2025-07-01 21:18:40,989 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:07:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4653, loss: 0.4653 +2025-07-01 21:18:59,346 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-01 21:19:38,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:19:38,526 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9951 +2025-07-01 21:19:38,528 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9327, top5_acc: 0.9951 +2025-07-01 21:20:22,711 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:07:15, time: 0.442, data_time: 0.256, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9906, loss_cls: 0.4015, loss: 0.4015 +2025-07-01 21:20:40,423 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:06:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3706, loss: 0.3706 +2025-07-01 21:20:58,370 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:06:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3706, loss: 0.3706 +2025-07-01 21:21:16,781 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:06:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3646, loss: 0.3646 +2025-07-01 21:21:34,727 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:05:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3909, loss: 0.3909 +2025-07-01 21:21:52,796 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:05:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3639, loss: 0.3639 +2025-07-01 21:22:10,924 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:05:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4393, loss: 0.4393 +2025-07-01 21:22:29,274 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:05:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4151, loss: 0.4151 +2025-07-01 21:22:47,323 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-01 21:23:25,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:23:25,029 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9926 +2025-07-01 21:23:25,030 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9212, top5_acc: 0.9926 +2025-07-01 21:24:07,565 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:04:31, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.3967, loss: 0.3967 +2025-07-01 21:24:25,529 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:04:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4574, loss: 0.4574 +2025-07-01 21:24:43,805 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:03:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9894, loss_cls: 0.4182, loss: 0.4182 +2025-07-01 21:25:02,087 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:03:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.3037, loss: 0.3037 +2025-07-01 21:25:20,291 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:03:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3631, loss: 0.3631 +2025-07-01 21:25:37,976 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:02:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3663, loss: 0.3663 +2025-07-01 21:25:56,046 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:02:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.3972, loss: 0.3972 +2025-07-01 21:26:14,199 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:02:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3790, loss: 0.3790 +2025-07-01 21:26:32,765 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-01 21:27:10,152 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:27:10,183 - pyskl - INFO - +top1_acc 0.9278 +top5_acc 0.9942 +2025-07-01 21:27:10,185 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9278, top5_acc: 0.9942 +2025-07-01 21:27:52,795 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:01:48, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.4028, loss: 0.4028 +2025-07-01 21:28:10,769 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:01:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3110, loss: 0.3110 +2025-07-01 21:28:29,190 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:01:09, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.3926, loss: 0.3926 +2025-07-01 21:28:46,976 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:00:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3492, loss: 0.3492 +2025-07-01 21:29:04,936 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:00:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4254, loss: 0.4254 +2025-07-01 21:29:22,853 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:00:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3746, loss: 0.3746 +2025-07-01 21:29:41,248 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:59:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4389, loss: 0.4389 +2025-07-01 21:29:59,134 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:59:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9906, loss_cls: 0.3823, loss: 0.3823 +2025-07-01 21:30:17,684 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-01 21:30:54,064 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:30:54,088 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9955 +2025-07-01 21:30:54,089 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9474, top5_acc: 0.9955 +2025-07-01 21:31:35,680 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:59:02, time: 0.416, data_time: 0.233, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4150, loss: 0.4150 +2025-07-01 21:31:53,403 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:58:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3526, loss: 0.3526 +2025-07-01 21:32:11,647 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:58:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9981, loss_cls: 0.3358, loss: 0.3358 +2025-07-01 21:32:29,785 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:58:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.3889, loss: 0.3889 +2025-07-01 21:32:47,978 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:57:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3489, loss: 0.3489 +2025-07-01 21:33:06,141 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:57:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.3433, loss: 0.3433 +2025-07-01 21:33:24,108 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:57:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 0.3599, loss: 0.3599 +2025-07-01 21:33:41,992 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:56:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4260, loss: 0.4260 +2025-07-01 21:34:00,093 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-01 21:34:37,504 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:34:37,528 - pyskl - INFO - +top1_acc 0.9321 +top5_acc 0.9953 +2025-07-01 21:34:37,529 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9321, top5_acc: 0.9953 +2025-07-01 21:35:20,261 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:56:18, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.3588, loss: 0.3588 +2025-07-01 21:35:38,000 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:55:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3442, loss: 0.3442 +2025-07-01 21:35:56,004 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:55:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.3935, loss: 0.3935 +2025-07-01 21:36:13,917 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:55:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3587, loss: 0.3587 +2025-07-01 21:36:31,761 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:55:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 0.3776, loss: 0.3776 +2025-07-01 21:36:49,839 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:54:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9906, loss_cls: 0.3406, loss: 0.3406 +2025-07-01 21:37:07,484 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:54:20, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3400, loss: 0.3400 +2025-07-01 21:37:25,644 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:54:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4204, loss: 0.4204 +2025-07-01 21:37:44,010 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-01 21:38:21,209 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:38:21,240 - pyskl - INFO - +top1_acc 0.9563 +top5_acc 0.9961 +2025-07-01 21:38:21,246 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_52.pth was removed +2025-07-01 21:38:21,447 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2025-07-01 21:38:21,448 - pyskl - INFO - Best top1_acc is 0.9563 at 66 epoch. +2025-07-01 21:38:21,450 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9563, top5_acc: 0.9961 +2025-07-01 21:39:04,022 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:53:32, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4215, loss: 0.4215 +2025-07-01 21:39:21,713 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:53:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2656, loss: 0.2656 +2025-07-01 21:39:39,576 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:52:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9931, loss_cls: 0.3281, loss: 0.3281 +2025-07-01 21:39:57,395 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:52:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9969, loss_cls: 0.3784, loss: 0.3784 +2025-07-01 21:40:15,500 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:52:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.3898, loss: 0.3898 +2025-07-01 21:40:33,320 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:51:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3610, loss: 0.3610 +2025-07-01 21:40:51,410 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:51:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.3991, loss: 0.3991 +2025-07-01 21:41:09,764 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:51:16, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3555, loss: 0.3555 +2025-07-01 21:41:28,183 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-01 21:42:06,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:42:06,163 - pyskl - INFO - +top1_acc 0.9413 +top5_acc 0.9944 +2025-07-01 21:42:06,164 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9413, top5_acc: 0.9944 +2025-07-01 21:42:48,707 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:50:46, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3562, loss: 0.3562 +2025-07-01 21:43:06,501 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:50:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3601, loss: 0.3601 +2025-07-01 21:43:24,503 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:50:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3241, loss: 0.3241 +2025-07-01 21:43:42,731 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:49:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3779, loss: 0.3779 +2025-07-01 21:44:00,677 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:49:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9962, loss_cls: 0.3736, loss: 0.3736 +2025-07-01 21:44:18,621 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:49:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3284, loss: 0.3284 +2025-07-01 21:44:36,284 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:48:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3061, loss: 0.3061 +2025-07-01 21:44:54,501 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:48:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9950, loss_cls: 0.4561, loss: 0.4561 +2025-07-01 21:45:12,579 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-01 21:45:50,026 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:45:50,054 - pyskl - INFO - +top1_acc 0.9398 +top5_acc 0.9961 +2025-07-01 21:45:50,055 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9398, top5_acc: 0.9961 +2025-07-01 21:46:32,922 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:48:01, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9950, loss_cls: 0.3577, loss: 0.3577 +2025-07-01 21:46:50,880 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:47:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9931, loss_cls: 0.3121, loss: 0.3121 +2025-07-01 21:47:08,855 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:47:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3647, loss: 0.3647 +2025-07-01 21:47:26,825 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:47:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3714, loss: 0.3714 +2025-07-01 21:47:44,986 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:46:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.3299, loss: 0.3299 +2025-07-01 21:48:03,201 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:46:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3808, loss: 0.3808 +2025-07-01 21:48:21,158 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:46:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 0.3370, loss: 0.3370 +2025-07-01 21:48:39,536 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:45:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3729, loss: 0.3729 +2025-07-01 21:48:57,825 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-01 21:49:34,620 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:49:34,643 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9961 +2025-07-01 21:49:34,645 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9428, top5_acc: 0.9961 +2025-07-01 21:50:16,912 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:45:16, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3013, loss: 0.3013 +2025-07-01 21:50:35,274 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:44:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.3125, loss: 0.3125 +2025-07-01 21:50:53,701 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:44:38, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3136, loss: 0.3136 +2025-07-01 21:51:11,837 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:44:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3271, loss: 0.3271 +2025-07-01 21:51:30,093 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:44:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3497, loss: 0.3497 +2025-07-01 21:51:48,011 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:43:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3160, loss: 0.3160 +2025-07-01 21:52:06,076 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:43:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3306, loss: 0.3306 +2025-07-01 21:52:24,241 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:43:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3404, loss: 0.3404 +2025-07-01 21:52:42,329 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-01 21:53:19,526 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:53:19,557 - pyskl - INFO - +top1_acc 0.9435 +top5_acc 0.9946 +2025-07-01 21:53:19,559 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9435, top5_acc: 0.9946 +2025-07-01 21:54:02,041 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:42:32, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3708, loss: 0.3708 +2025-07-01 21:54:20,128 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:42:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9938, loss_cls: 0.2903, loss: 0.2903 +2025-07-01 21:54:37,997 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:41:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3344, loss: 0.3344 +2025-07-01 21:54:55,808 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:41:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3863, loss: 0.3863 +2025-07-01 21:55:14,048 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:41:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3239, loss: 0.3239 +2025-07-01 21:55:32,186 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:40:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2947, loss: 0.2947 +2025-07-01 21:55:50,207 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:40:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4230, loss: 0.4230 +2025-07-01 21:56:08,363 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:40:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3780, loss: 0.3780 +2025-07-01 21:56:26,493 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-01 21:57:03,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:57:03,894 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9951 +2025-07-01 21:57:03,896 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9474, top5_acc: 0.9951 +2025-07-01 21:57:47,377 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:39:48, time: 0.435, data_time: 0.248, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3508, loss: 0.3508 +2025-07-01 21:58:05,313 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:39:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2876, loss: 0.2876 +2025-07-01 21:58:23,609 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:39:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2663, loss: 0.2663 +2025-07-01 21:58:41,384 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:38:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2645, loss: 0.2645 +2025-07-01 21:58:59,588 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:38:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3474, loss: 0.3474 +2025-07-01 21:59:17,670 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:38:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3073, loss: 0.3073 +2025-07-01 21:59:35,456 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:37:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9912, loss_cls: 0.3541, loss: 0.3541 +2025-07-01 21:59:53,651 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:37:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3665, loss: 0.3665 +2025-07-01 22:00:11,754 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-01 22:00:48,811 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:00:48,842 - pyskl - INFO - +top1_acc 0.9455 +top5_acc 0.9962 +2025-07-01 22:00:48,844 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9455, top5_acc: 0.9962 +2025-07-01 22:01:30,360 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:37:01, time: 0.415, data_time: 0.233, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2951, loss: 0.2951 +2025-07-01 22:01:48,516 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:36:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2354, loss: 0.2354 +2025-07-01 22:02:06,471 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:36:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2893, loss: 0.2893 +2025-07-01 22:02:24,456 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:36:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.2946, loss: 0.2946 +2025-07-01 22:02:42,412 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:35:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 0.3286, loss: 0.3286 +2025-07-01 22:03:00,346 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:35:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9900, loss_cls: 0.3446, loss: 0.3446 +2025-07-01 22:03:18,284 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:35:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3422, loss: 0.3422 +2025-07-01 22:03:36,685 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:34:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 0.3913, loss: 0.3913 +2025-07-01 22:03:54,870 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-01 22:04:31,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:04:31,568 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9974 +2025-07-01 22:04:31,569 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9538, top5_acc: 0.9974 +2025-07-01 22:05:14,087 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:34:16, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3601, loss: 0.3601 +2025-07-01 22:05:31,988 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:33:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2722, loss: 0.2722 +2025-07-01 22:05:49,839 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:33:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3111, loss: 0.3111 +2025-07-01 22:06:07,555 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:33:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2590, loss: 0.2590 +2025-07-01 22:06:25,353 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:32:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3030, loss: 0.3030 +2025-07-01 22:06:43,709 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:32:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3465, loss: 0.3465 +2025-07-01 22:07:01,517 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:32:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.2992, loss: 0.2992 +2025-07-01 22:07:19,394 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:32:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3389, loss: 0.3389 +2025-07-01 22:07:37,952 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-01 22:08:14,544 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:08:14,581 - pyskl - INFO - +top1_acc 0.9466 +top5_acc 0.9960 +2025-07-01 22:08:14,583 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9466, top5_acc: 0.9960 +2025-07-01 22:08:56,852 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:31:29, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9912, loss_cls: 0.3710, loss: 0.3710 +2025-07-01 22:09:14,687 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:31:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3265, loss: 0.3265 +2025-07-01 22:09:32,433 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:30:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3486, loss: 0.3486 +2025-07-01 22:09:50,461 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:30:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3143, loss: 0.3143 +2025-07-01 22:10:08,425 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:30:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3443, loss: 0.3443 +2025-07-01 22:10:26,431 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:29:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2842, loss: 0.2842 +2025-07-01 22:10:44,289 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:29:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3766, loss: 0.3766 +2025-07-01 22:11:02,071 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:29:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3500, loss: 0.3500 +2025-07-01 22:11:20,533 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-01 22:11:56,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:11:56,795 - pyskl - INFO - +top1_acc 0.9551 +top5_acc 0.9954 +2025-07-01 22:11:56,796 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9551, top5_acc: 0.9954 +2025-07-01 22:12:39,635 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:28:43, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2782, loss: 0.2782 +2025-07-01 22:12:57,287 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:28:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3095, loss: 0.3095 +2025-07-01 22:13:15,495 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:28:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.2880, loss: 0.2880 +2025-07-01 22:13:33,483 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:27:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3350, loss: 0.3350 +2025-07-01 22:13:51,462 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:27:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9925, loss_cls: 0.3302, loss: 0.3302 +2025-07-01 22:14:09,330 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:27:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3091, loss: 0.3091 +2025-07-01 22:14:27,263 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:26:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3408, loss: 0.3408 +2025-07-01 22:14:45,487 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:26:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2832, loss: 0.2832 +2025-07-01 22:15:03,736 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-01 22:15:40,675 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:15:40,699 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9957 +2025-07-01 22:15:40,700 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9438, top5_acc: 0.9957 +2025-07-01 22:16:23,377 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:25:57, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.2818, loss: 0.2818 +2025-07-01 22:16:41,202 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:25:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2794, loss: 0.2794 +2025-07-01 22:16:59,538 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:25:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2871, loss: 0.2871 +2025-07-01 22:17:16,999 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:24:59, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2879, loss: 0.2879 +2025-07-01 22:17:34,969 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:24:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2783, loss: 0.2783 +2025-07-01 22:17:52,998 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:24:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3235, loss: 0.3235 +2025-07-01 22:18:11,015 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:24:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3183, loss: 0.3183 +2025-07-01 22:18:29,032 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:23:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.2907, loss: 0.2907 +2025-07-01 22:18:47,616 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-01 22:19:24,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:19:24,361 - pyskl - INFO - +top1_acc 0.9505 +top5_acc 0.9969 +2025-07-01 22:19:24,363 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9505, top5_acc: 0.9969 +2025-07-01 22:20:07,188 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:23:11, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2706, loss: 0.2706 +2025-07-01 22:20:25,044 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:22:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2742, loss: 0.2742 +2025-07-01 22:20:43,135 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:22:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2645, loss: 0.2645 +2025-07-01 22:21:01,171 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:22:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.2923, loss: 0.2923 +2025-07-01 22:21:19,128 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:21:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2978, loss: 0.2978 +2025-07-01 22:21:37,126 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:21:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 0.3388, loss: 0.3388 +2025-07-01 22:21:55,161 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:21:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9975, loss_cls: 0.3522, loss: 0.3522 +2025-07-01 22:22:12,843 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:20:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9912, loss_cls: 0.3565, loss: 0.3565 +2025-07-01 22:22:31,086 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-01 22:23:07,912 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:23:07,944 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9962 +2025-07-01 22:23:07,946 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9560, top5_acc: 0.9962 +2025-07-01 22:23:50,000 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:20:24, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2718, loss: 0.2718 +2025-07-01 22:24:08,129 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:20:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2427, loss: 0.2427 +2025-07-01 22:24:26,374 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:19:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3079, loss: 0.3079 +2025-07-01 22:24:44,138 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:19:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.2913, loss: 0.2913 +2025-07-01 22:25:01,729 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:19:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3130, loss: 0.3130 +2025-07-01 22:25:19,724 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:18:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2901, loss: 0.2901 +2025-07-01 22:25:37,749 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:18:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.3030, loss: 0.3030 +2025-07-01 22:25:55,552 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:18:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2672, loss: 0.2672 +2025-07-01 22:26:13,939 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-01 22:26:50,928 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:26:50,952 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9968 +2025-07-01 22:26:50,957 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_66.pth was removed +2025-07-01 22:26:51,136 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-01 22:26:51,136 - pyskl - INFO - Best top1_acc is 0.9601 at 79 epoch. +2025-07-01 22:26:51,138 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9601, top5_acc: 0.9968 +2025-07-01 22:27:32,907 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:17:37, time: 0.418, data_time: 0.234, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.3024, loss: 0.3024 +2025-07-01 22:27:50,623 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:17:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2724, loss: 0.2724 +2025-07-01 22:28:08,539 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:16:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2826, loss: 0.2826 +2025-07-01 22:28:26,265 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:16:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2333, loss: 0.2333 +2025-07-01 22:28:44,049 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:16:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9938, loss_cls: 0.2624, loss: 0.2624 +2025-07-01 22:29:01,824 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:16:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2567, loss: 0.2567 +2025-07-01 22:29:19,483 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:15:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.2964, loss: 0.2964 +2025-07-01 22:29:37,538 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:15:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3130, loss: 0.3130 +2025-07-01 22:29:55,925 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-01 22:30:32,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:30:32,971 - pyskl - INFO - +top1_acc 0.9481 +top5_acc 0.9961 +2025-07-01 22:30:32,972 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9481, top5_acc: 0.9961 +2025-07-01 22:31:15,657 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:14:49, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.2922, loss: 0.2922 +2025-07-01 22:31:33,729 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:14:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2831, loss: 0.2831 +2025-07-01 22:31:51,966 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:14:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2062, loss: 0.2062 +2025-07-01 22:32:09,803 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:13:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2793, loss: 0.2793 +2025-07-01 22:32:27,685 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:13:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.3065, loss: 0.3065 +2025-07-01 22:32:45,685 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:13:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2511, loss: 0.2511 +2025-07-01 22:33:04,039 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:12:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3096, loss: 0.3096 +2025-07-01 22:33:21,984 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:12:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3263, loss: 0.3263 +2025-07-01 22:33:40,405 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-01 22:34:17,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:34:17,596 - pyskl - INFO - +top1_acc 0.9551 +top5_acc 0.9962 +2025-07-01 22:34:17,598 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9551, top5_acc: 0.9962 +2025-07-01 22:35:00,048 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:12:03, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2535, loss: 0.2535 +2025-07-01 22:35:17,880 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:11:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2480, loss: 0.2480 +2025-07-01 22:35:35,611 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:11:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2387, loss: 0.2387 +2025-07-01 22:35:53,377 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:11:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2820, loss: 0.2820 +2025-07-01 22:36:11,140 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:10:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9950, loss_cls: 0.2400, loss: 0.2400 +2025-07-01 22:36:29,025 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:10:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3170, loss: 0.3170 +2025-07-01 22:36:46,840 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:10:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2556, loss: 0.2556 +2025-07-01 22:37:04,628 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:09:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3034, loss: 0.3034 +2025-07-01 22:37:22,906 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-01 22:37:59,902 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:37:59,925 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9955 +2025-07-01 22:37:59,926 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9467, top5_acc: 0.9955 +2025-07-01 22:38:42,235 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:09:16, time: 0.423, data_time: 0.239, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2494, loss: 0.2494 +2025-07-01 22:39:00,094 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:08:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.2630, loss: 0.2630 +2025-07-01 22:39:18,542 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:08:38, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2331, loss: 0.2331 +2025-07-01 22:39:36,489 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:08:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3071, loss: 0.3071 +2025-07-01 22:39:54,511 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:07:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2294, loss: 0.2294 +2025-07-01 22:40:12,656 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:07:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9938, loss_cls: 0.2539, loss: 0.2539 +2025-07-01 22:40:30,953 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:07:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.2775, loss: 0.2775 +2025-07-01 22:40:49,233 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:07:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2841, loss: 0.2841 +2025-07-01 22:41:07,740 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-01 22:41:44,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:41:44,560 - pyskl - INFO - +top1_acc 0.9332 +top5_acc 0.9950 +2025-07-01 22:41:44,561 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9332, top5_acc: 0.9950 +2025-07-01 22:42:27,243 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:06:30, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.3030, loss: 0.3030 +2025-07-01 22:42:45,302 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:06:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2725, loss: 0.2725 +2025-07-01 22:43:03,180 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:05:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2501, loss: 0.2501 +2025-07-01 22:43:21,161 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:05:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2665, loss: 0.2665 +2025-07-01 22:43:39,097 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:05:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2103, loss: 0.2103 +2025-07-01 22:43:57,149 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:04:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2462, loss: 0.2462 +2025-07-01 22:44:15,223 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:04:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 0.2335, loss: 0.2335 +2025-07-01 22:44:33,227 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:04:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3203, loss: 0.3203 +2025-07-01 22:44:51,289 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-01 22:45:27,923 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:45:27,951 - pyskl - INFO - +top1_acc 0.9481 +top5_acc 0.9958 +2025-07-01 22:45:27,952 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9481, top5_acc: 0.9958 +2025-07-01 22:46:10,464 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:03:44, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2626, loss: 0.2626 +2025-07-01 22:46:28,584 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:03:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2669, loss: 0.2669 +2025-07-01 22:46:46,815 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:03:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2589, loss: 0.2589 +2025-07-01 22:47:05,013 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:02:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2468, loss: 0.2468 +2025-07-01 22:47:22,639 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:02:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2544, loss: 0.2544 +2025-07-01 22:47:40,422 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:02:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.2675, loss: 0.2675 +2025-07-01 22:47:58,605 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:01:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9931, loss_cls: 0.2698, loss: 0.2698 +2025-07-01 22:48:16,752 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:01:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9944, loss_cls: 0.2316, loss: 0.2316 +2025-07-01 22:48:35,313 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-01 22:49:12,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:49:12,894 - pyskl - INFO - +top1_acc 0.9381 +top5_acc 0.9947 +2025-07-01 22:49:12,896 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9381, top5_acc: 0.9947 +2025-07-01 22:49:55,259 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:00:58, time: 0.424, data_time: 0.243, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.3147, loss: 0.3147 +2025-07-01 22:50:13,265 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:00:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2525, loss: 0.2525 +2025-07-01 22:50:31,393 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:00:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2106, loss: 0.2106 +2025-07-01 22:50:49,209 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:00:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2241, loss: 0.2241 +2025-07-01 22:51:07,304 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:59:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2725, loss: 0.2725 +2025-07-01 22:51:25,487 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:59:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2301, loss: 0.2301 +2025-07-01 22:51:43,755 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:59:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.2909, loss: 0.2909 +2025-07-01 22:52:01,872 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:58:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2576, loss: 0.2576 +2025-07-01 22:52:20,045 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-01 22:52:56,871 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:52:56,893 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9960 +2025-07-01 22:52:56,894 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9530, top5_acc: 0.9960 +2025-07-01 22:53:39,134 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:58:11, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2005, loss: 0.2005 +2025-07-01 22:53:57,165 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:57:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2281, loss: 0.2281 +2025-07-01 22:54:14,971 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:57:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2480, loss: 0.2480 +2025-07-01 22:54:32,839 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:57:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2340, loss: 0.2340 +2025-07-01 22:54:50,525 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:56:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2639, loss: 0.2639 +2025-07-01 22:55:08,105 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:56:35, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2313, loss: 0.2313 +2025-07-01 22:55:26,328 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:56:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2544, loss: 0.2544 +2025-07-01 22:55:44,487 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:55:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3073, loss: 0.3073 +2025-07-01 22:56:02,848 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-01 22:56:39,962 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:56:39,986 - pyskl - INFO - +top1_acc 0.9468 +top5_acc 0.9965 +2025-07-01 22:56:39,987 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9468, top5_acc: 0.9965 +2025-07-01 22:57:23,076 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:55:25, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3269, loss: 0.3269 +2025-07-01 22:57:41,071 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:55:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2551, loss: 0.2551 +2025-07-01 22:57:59,238 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:54:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2789, loss: 0.2789 +2025-07-01 22:58:17,078 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:54:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2455, loss: 0.2455 +2025-07-01 22:58:34,893 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:54:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2453, loss: 0.2453 +2025-07-01 22:58:52,732 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:53:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1987, loss: 0.1987 +2025-07-01 22:59:10,997 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:53:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2319, loss: 0.2319 +2025-07-01 22:59:29,133 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2859, loss: 0.2859 +2025-07-01 22:59:47,132 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-01 23:00:23,766 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:00:23,789 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9969 +2025-07-01 23:00:23,790 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9545, top5_acc: 0.9969 +2025-07-01 23:01:06,534 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:52:39, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2815, loss: 0.2815 +2025-07-01 23:01:24,661 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:52:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2114, loss: 0.2114 +2025-07-01 23:01:42,762 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:52:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2154, loss: 0.2154 +2025-07-01 23:02:00,700 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:51:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1914, loss: 0.1914 +2025-07-01 23:02:18,175 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:51:22, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1860, loss: 0.1860 +2025-07-01 23:02:36,247 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:51:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1933, loss: 0.1933 +2025-07-01 23:02:54,554 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:50:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2310, loss: 0.2310 +2025-07-01 23:03:12,438 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:50:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2677, loss: 0.2677 +2025-07-01 23:03:30,776 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-01 23:04:07,965 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:04:08,001 - pyskl - INFO - +top1_acc 0.9616 +top5_acc 0.9961 +2025-07-01 23:04:08,007 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_79.pth was removed +2025-07-01 23:04:08,222 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2025-07-01 23:04:08,223 - pyskl - INFO - Best top1_acc is 0.9616 at 89 epoch. +2025-07-01 23:04:08,225 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9616, top5_acc: 0.9961 +2025-07-01 23:04:50,833 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:49:52, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1943, loss: 0.1943 +2025-07-01 23:05:09,258 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:49:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1908, loss: 0.1908 +2025-07-01 23:05:27,575 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:49:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1802, loss: 0.1802 +2025-07-01 23:05:46,291 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:48:56, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2435, loss: 0.2435 +2025-07-01 23:06:04,250 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:48:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1937, loss: 0.1937 +2025-07-01 23:06:22,555 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:48:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1663, loss: 0.1663 +2025-07-01 23:06:40,768 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:47:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2007, loss: 0.2007 +2025-07-01 23:06:58,776 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:47:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2555, loss: 0.2555 +2025-07-01 23:07:17,182 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-01 23:07:53,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:07:53,926 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9951 +2025-07-01 23:07:53,927 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9541, top5_acc: 0.9951 +2025-07-01 23:08:36,839 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:47:07, time: 0.429, data_time: 0.248, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2531, loss: 0.2531 +2025-07-01 23:08:54,736 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:46:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2163, loss: 0.2163 +2025-07-01 23:09:12,487 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:46:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1914, loss: 0.1914 +2025-07-01 23:09:30,382 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:46:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2036, loss: 0.2036 +2025-07-01 23:09:47,928 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:45:50, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2412, loss: 0.2412 +2025-07-01 23:10:05,910 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:45:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1747, loss: 0.1747 +2025-07-01 23:10:24,165 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2382, loss: 0.2382 +2025-07-01 23:10:42,295 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:44:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2275, loss: 0.2275 +2025-07-01 23:11:00,738 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-01 23:11:37,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:11:37,305 - pyskl - INFO - +top1_acc 0.9576 +top5_acc 0.9965 +2025-07-01 23:11:37,307 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9576, top5_acc: 0.9965 +2025-07-01 23:12:18,937 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:44:19, time: 0.416, data_time: 0.235, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2332, loss: 0.2332 +2025-07-01 23:12:36,558 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:44:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1763, loss: 0.1763 +2025-07-01 23:12:54,289 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:43:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.2092, loss: 0.2092 +2025-07-01 23:13:12,059 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:43:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2175, loss: 0.2175 +2025-07-01 23:13:29,910 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:43:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2229, loss: 0.2229 +2025-07-01 23:13:48,053 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:42:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2122, loss: 0.2122 +2025-07-01 23:14:05,828 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:42:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1846, loss: 0.1846 +2025-07-01 23:14:23,902 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:42:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.1990, loss: 0.1990 +2025-07-01 23:14:42,430 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-01 23:15:18,658 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:15:18,681 - pyskl - INFO - +top1_acc 0.9562 +top5_acc 0.9957 +2025-07-01 23:15:18,682 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9562, top5_acc: 0.9957 +2025-07-01 23:16:01,721 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:41:32, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1942, loss: 0.1942 +2025-07-01 23:16:19,877 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1920, loss: 0.1920 +2025-07-01 23:16:38,143 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:40:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1787, loss: 0.1787 +2025-07-01 23:16:56,176 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:40:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1879, loss: 0.1879 +2025-07-01 23:17:14,139 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9956, loss_cls: 0.2082, loss: 0.2082 +2025-07-01 23:17:32,603 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:39:57, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1640, loss: 0.1640 +2025-07-01 23:17:50,704 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:39:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2097, loss: 0.2097 +2025-07-01 23:18:08,897 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:39:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9994, loss_cls: 0.2382, loss: 0.2382 +2025-07-01 23:18:27,238 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-01 23:19:03,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:19:03,501 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9969 +2025-07-01 23:19:03,506 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_89.pth was removed +2025-07-01 23:19:03,692 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-07-01 23:19:03,693 - pyskl - INFO - Best top1_acc is 0.9630 at 93 epoch. +2025-07-01 23:19:03,694 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9630, top5_acc: 0.9969 +2025-07-01 23:19:46,648 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:38:46, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1962, loss: 0.1962 +2025-07-01 23:20:04,871 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:38:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9944, loss_cls: 0.2266, loss: 0.2266 +2025-07-01 23:20:22,941 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:38:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9950, loss_cls: 0.2096, loss: 0.2096 +2025-07-01 23:20:40,770 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:37:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2310, loss: 0.2310 +2025-07-01 23:20:58,659 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:37:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2448, loss: 0.2448 +2025-07-01 23:21:16,543 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1792, loss: 0.1792 +2025-07-01 23:21:34,865 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:36:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2258, loss: 0.2258 +2025-07-01 23:21:53,080 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:36:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2266, loss: 0.2266 +2025-07-01 23:22:11,771 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-01 23:22:48,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:22:48,228 - pyskl - INFO - +top1_acc 0.9606 +top5_acc 0.9964 +2025-07-01 23:22:48,229 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9606, top5_acc: 0.9964 +2025-07-01 23:23:31,161 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:36:00, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2892, loss: 0.2892 +2025-07-01 23:23:49,105 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:35:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2225, loss: 0.2225 +2025-07-01 23:24:07,325 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:35:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2129, loss: 0.2129 +2025-07-01 23:24:25,324 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:35:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2245, loss: 0.2245 +2025-07-01 23:24:43,119 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:34:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1988, loss: 0.1988 +2025-07-01 23:25:01,267 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:34:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9956, loss_cls: 0.1898, loss: 0.1898 +2025-07-01 23:25:19,254 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:34:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2111, loss: 0.2111 +2025-07-01 23:25:37,225 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:33:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2278, loss: 0.2278 +2025-07-01 23:25:55,677 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-01 23:26:31,862 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:26:31,886 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9954 +2025-07-01 23:26:31,888 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9523, top5_acc: 0.9954 +2025-07-01 23:27:14,221 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:13, time: 0.423, data_time: 0.242, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2205, loss: 0.2205 +2025-07-01 23:27:32,517 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:32:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1793, loss: 0.1793 +2025-07-01 23:27:50,876 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:32:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1880, loss: 0.1880 +2025-07-01 23:28:09,032 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1789, loss: 0.1789 +2025-07-01 23:28:27,247 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:31:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9956, loss_cls: 0.1871, loss: 0.1871 +2025-07-01 23:28:44,979 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:31:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1677, loss: 0.1677 +2025-07-01 23:29:02,834 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1843, loss: 0.1843 +2025-07-01 23:29:20,669 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:31:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2190, loss: 0.2190 +2025-07-01 23:29:38,984 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-01 23:30:16,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:30:16,342 - pyskl - INFO - +top1_acc 0.9602 +top5_acc 0.9967 +2025-07-01 23:30:16,344 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9602, top5_acc: 0.9967 +2025-07-01 23:30:59,402 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:30:27, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2011, loss: 0.2011 +2025-07-01 23:31:17,649 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:30:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1765, loss: 0.1765 +2025-07-01 23:31:35,758 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:29:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1838, loss: 0.1838 +2025-07-01 23:31:53,523 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:29:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.1987, loss: 0.1987 +2025-07-01 23:32:11,493 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1721, loss: 0.1721 +2025-07-01 23:32:29,548 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:28:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1821, loss: 0.1821 +2025-07-01 23:32:47,751 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:28:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1865, loss: 0.1865 +2025-07-01 23:33:05,899 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2107, loss: 0.2107 +2025-07-01 23:33:24,035 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-01 23:34:00,760 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:34:00,788 - pyskl - INFO - +top1_acc 0.9591 +top5_acc 0.9962 +2025-07-01 23:34:00,789 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9591, top5_acc: 0.9962 +2025-07-01 23:34:43,692 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:27:40, time: 0.429, data_time: 0.249, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1834, loss: 0.1834 +2025-07-01 23:35:01,728 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1579, loss: 0.1579 +2025-07-01 23:35:19,751 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.1875, loss: 0.1875 +2025-07-01 23:35:37,533 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:26:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1800, loss: 0.1800 +2025-07-01 23:35:55,531 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:26:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.1939, loss: 0.1939 +2025-07-01 23:36:13,194 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:26:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2012, loss: 0.2012 +2025-07-01 23:36:31,185 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:25:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1560, loss: 0.1560 +2025-07-01 23:36:49,735 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:25:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1830, loss: 0.1830 +2025-07-01 23:37:07,960 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-01 23:37:44,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:37:44,906 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9967 +2025-07-01 23:37:44,910 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_93.pth was removed +2025-07-01 23:37:45,085 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-01 23:37:45,086 - pyskl - INFO - Best top1_acc is 0.9676 at 98 epoch. +2025-07-01 23:37:45,087 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9676, top5_acc: 0.9967 +2025-07-01 23:38:27,980 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:24:53, time: 0.429, data_time: 0.249, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1569, loss: 0.1569 +2025-07-01 23:38:46,089 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:24:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.1982, loss: 0.1982 +2025-07-01 23:39:04,084 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1458, loss: 0.1458 +2025-07-01 23:39:22,100 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:23:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1750, loss: 0.1750 +2025-07-01 23:39:40,242 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:23:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1989, loss: 0.1989 +2025-07-01 23:39:58,261 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1832, loss: 0.1832 +2025-07-01 23:40:16,522 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2004, loss: 0.2004 +2025-07-01 23:40:34,847 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:22:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1647, loss: 0.1647 +2025-07-01 23:40:53,274 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-01 23:41:29,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:41:29,994 - pyskl - INFO - +top1_acc 0.9654 +top5_acc 0.9961 +2025-07-01 23:41:29,995 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9654, top5_acc: 0.9961 +2025-07-01 23:42:12,279 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:07, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1533, loss: 0.1533 +2025-07-01 23:42:30,162 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:21:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1753, loss: 0.1753 +2025-07-01 23:42:48,299 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:21:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1547, loss: 0.1547 +2025-07-01 23:43:06,081 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1253, loss: 0.1253 +2025-07-01 23:43:23,983 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:20:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1400, loss: 0.1400 +2025-07-01 23:43:41,877 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:20:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9944, loss_cls: 0.1605, loss: 0.1605 +2025-07-01 23:43:59,852 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1363, loss: 0.1363 +2025-07-01 23:44:18,343 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:19:54, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1839, loss: 0.1839 +2025-07-01 23:44:36,777 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-01 23:45:13,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:45:13,429 - pyskl - INFO - +top1_acc 0.9566 +top5_acc 0.9962 +2025-07-01 23:45:13,430 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9566, top5_acc: 0.9962 +2025-07-01 23:45:55,964 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:20, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1904, loss: 0.1904 +2025-07-01 23:46:14,058 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1303, loss: 0.1303 +2025-07-01 23:46:32,009 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:18:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1578, loss: 0.1578 +2025-07-01 23:46:50,038 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1424, loss: 0.1424 +2025-07-01 23:47:07,640 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:03, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1551, loss: 0.1551 +2025-07-01 23:47:25,761 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:17:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1639, loss: 0.1639 +2025-07-01 23:47:43,640 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:17:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1636, loss: 0.1636 +2025-07-01 23:48:01,915 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1608, loss: 0.1608 +2025-07-01 23:48:20,472 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-01 23:48:57,489 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:48:57,517 - pyskl - INFO - +top1_acc 0.9666 +top5_acc 0.9962 +2025-07-01 23:48:57,519 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9666, top5_acc: 0.9962 +2025-07-01 23:49:41,124 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:16:33, time: 0.436, data_time: 0.251, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1618, loss: 0.1618 +2025-07-01 23:49:59,457 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1561, loss: 0.1561 +2025-07-01 23:50:17,784 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:15:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1745, loss: 0.1745 +2025-07-01 23:50:35,684 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:15:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1525, loss: 0.1525 +2025-07-01 23:50:53,669 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9956, loss_cls: 0.1561, loss: 0.1561 +2025-07-01 23:51:11,412 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:14:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1627, loss: 0.1627 +2025-07-01 23:51:29,381 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:14:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1380, loss: 0.1380 +2025-07-01 23:51:47,551 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1554, loss: 0.1554 +2025-07-01 23:52:05,702 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-01 23:52:43,162 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:52:43,191 - pyskl - INFO - +top1_acc 0.9683 +top5_acc 0.9964 +2025-07-01 23:52:43,195 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_98.pth was removed +2025-07-01 23:52:43,390 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2025-07-01 23:52:43,391 - pyskl - INFO - Best top1_acc is 0.9683 at 102 epoch. +2025-07-01 23:52:43,393 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9683, top5_acc: 0.9964 +2025-07-01 23:53:25,718 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:13:46, time: 0.423, data_time: 0.242, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1519, loss: 0.1519 +2025-07-01 23:53:43,698 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1492, loss: 0.1492 +2025-07-01 23:54:01,910 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9944, loss_cls: 0.1836, loss: 0.1836 +2025-07-01 23:54:19,634 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:12:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1111, loss: 0.1111 +2025-07-01 23:54:37,664 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:12:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1804, loss: 0.1804 +2025-07-01 23:54:55,724 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1736, loss: 0.1736 +2025-07-01 23:55:13,592 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:11:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1852, loss: 0.1852 +2025-07-01 23:55:31,697 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:11:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1714, loss: 0.1714 +2025-07-01 23:55:49,854 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-01 23:56:26,817 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:56:26,841 - pyskl - INFO - +top1_acc 0.9670 +top5_acc 0.9968 +2025-07-01 23:56:26,843 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9670, top5_acc: 0.9968 +2025-07-01 23:57:10,334 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:10:59, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1502, loss: 0.1502 +2025-07-01 23:57:28,496 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:10:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1596, loss: 0.1596 +2025-07-01 23:57:46,762 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1410, loss: 0.1410 +2025-07-01 23:58:04,816 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1228, loss: 0.1228 +2025-07-01 23:58:22,627 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:09:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9962, loss_cls: 0.1590, loss: 0.1590 +2025-07-01 23:58:40,340 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1847, loss: 0.1847 +2025-07-01 23:58:58,241 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1134, loss: 0.1134 +2025-07-01 23:59:16,440 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:08:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1587, loss: 0.1587 +2025-07-01 23:59:34,622 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 00:00:11,288 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:00:11,311 - pyskl - INFO - +top1_acc 0.9687 +top5_acc 0.9971 +2025-07-02 00:00:11,315 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_102.pth was removed +2025-07-02 00:00:11,493 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-02 00:00:11,493 - pyskl - INFO - Best top1_acc is 0.9687 at 104 epoch. +2025-07-02 00:00:11,495 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9687, top5_acc: 0.9971 +2025-07-02 00:00:53,907 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:12, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1484, loss: 0.1484 +2025-07-02 00:01:11,937 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:07:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1562, loss: 0.1562 +2025-07-02 00:01:30,207 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:07:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1327, loss: 0.1327 +2025-07-02 00:01:48,170 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1392, loss: 0.1392 +2025-07-02 00:02:06,308 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:06:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 00:02:23,936 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:06:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1535, loss: 0.1535 +2025-07-02 00:02:41,830 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1385, loss: 0.1385 +2025-07-02 00:02:59,885 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:05:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 00:03:18,237 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 00:03:54,940 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:03:54,964 - pyskl - INFO - +top1_acc 0.9670 +top5_acc 0.9965 +2025-07-02 00:03:54,965 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9670, top5_acc: 0.9965 +2025-07-02 00:04:37,758 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:25, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1139, loss: 0.1139 +2025-07-02 00:04:55,675 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 00:05:13,860 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:04:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1052, loss: 0.1052 +2025-07-02 00:05:31,868 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1368, loss: 0.1368 +2025-07-02 00:05:49,891 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1581, loss: 0.1581 +2025-07-02 00:06:07,581 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:03:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1342, loss: 0.1342 +2025-07-02 00:06:25,242 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:03:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9962, loss_cls: 0.1230, loss: 0.1230 +2025-07-02 00:06:43,574 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1471, loss: 0.1471 +2025-07-02 00:07:01,975 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 00:07:38,870 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:07:38,893 - pyskl - INFO - +top1_acc 0.9603 +top5_acc 0.9958 +2025-07-02 00:07:38,895 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9603, top5_acc: 0.9958 +2025-07-02 00:08:21,753 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:02:38, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1394, loss: 0.1394 +2025-07-02 00:08:40,041 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1241, loss: 0.1241 +2025-07-02 00:08:58,481 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0864, loss: 0.0864 +2025-07-02 00:09:16,804 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:01:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1173, loss: 0.1173 +2025-07-02 00:09:34,886 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1546, loss: 0.1546 +2025-07-02 00:09:52,546 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 00:10:10,094 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:00:44, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1401, loss: 0.1401 +2025-07-02 00:10:28,421 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 00:10:46,954 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 00:11:24,798 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:11:24,822 - pyskl - INFO - +top1_acc 0.9651 +top5_acc 0.9965 +2025-07-02 00:11:24,823 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9651, top5_acc: 0.9965 +2025-07-02 00:12:07,644 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 1:59:51, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1354, loss: 0.1354 +2025-07-02 00:12:25,905 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1482, loss: 0.1482 +2025-07-02 00:12:43,991 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1253, loss: 0.1253 +2025-07-02 00:13:01,716 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:58:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1084, loss: 0.1084 +2025-07-02 00:13:19,755 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:58:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1415, loss: 0.1415 +2025-07-02 00:13:37,790 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1210, loss: 0.1210 +2025-07-02 00:13:55,699 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:57:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1268, loss: 0.1268 +2025-07-02 00:14:13,680 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:57:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1120, loss: 0.1120 +2025-07-02 00:14:32,097 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 00:15:09,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:15:09,405 - pyskl - INFO - +top1_acc 0.9697 +top5_acc 0.9968 +2025-07-02 00:15:09,409 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_104.pth was removed +2025-07-02 00:15:09,584 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2025-07-02 00:15:09,584 - pyskl - INFO - Best top1_acc is 0.9697 at 108 epoch. +2025-07-02 00:15:09,586 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9697, top5_acc: 0.9968 +2025-07-02 00:15:52,494 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:03, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1093, loss: 0.1093 +2025-07-02 00:16:10,515 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:56:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1232, loss: 0.1232 +2025-07-02 00:16:28,740 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1441, loss: 0.1441 +2025-07-02 00:16:46,418 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 00:17:04,443 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:55:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1508, loss: 0.1508 +2025-07-02 00:17:22,085 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1032, loss: 0.1032 +2025-07-02 00:17:39,896 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1294, loss: 0.1294 +2025-07-02 00:17:58,033 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:54:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1421, loss: 0.1421 +2025-07-02 00:18:16,451 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 00:18:53,224 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:18:53,252 - pyskl - INFO - +top1_acc 0.9681 +top5_acc 0.9969 +2025-07-02 00:18:53,254 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9681, top5_acc: 0.9969 +2025-07-02 00:19:36,068 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:16, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1102, loss: 0.1102 +2025-07-02 00:19:54,035 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:53:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 00:20:12,376 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:53:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0984, loss: 0.0984 +2025-07-02 00:20:30,516 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0671, loss: 0.0671 +2025-07-02 00:20:48,286 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1284, loss: 0.1284 +2025-07-02 00:21:05,909 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:52:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 00:21:23,940 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 00:21:42,053 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1484, loss: 0.1484 +2025-07-02 00:22:00,362 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 00:22:36,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:22:36,914 - pyskl - INFO - +top1_acc 0.9701 +top5_acc 0.9969 +2025-07-02 00:22:36,918 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_108.pth was removed +2025-07-02 00:22:37,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 00:22:37,090 - pyskl - INFO - Best top1_acc is 0.9701 at 110 epoch. +2025-07-02 00:22:37,092 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9701, top5_acc: 0.9969 +2025-07-02 00:23:20,169 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:29, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0900, loss: 0.0900 +2025-07-02 00:23:38,760 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:10, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 00:23:56,905 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:50:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0727, loss: 0.0727 +2025-07-02 00:24:15,257 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0757, loss: 0.0757 +2025-07-02 00:24:33,012 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 00:24:50,888 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:49:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 00:25:08,605 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:49:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1469, loss: 0.1469 +2025-07-02 00:25:26,572 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1351, loss: 0.1351 +2025-07-02 00:25:44,873 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 00:26:21,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:26:21,580 - pyskl - INFO - +top1_acc 0.9709 +top5_acc 0.9968 +2025-07-02 00:26:21,584 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_110.pth was removed +2025-07-02 00:26:21,800 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 00:26:21,800 - pyskl - INFO - Best top1_acc is 0.9709 at 111 epoch. +2025-07-02 00:26:21,802 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9709, top5_acc: 0.9968 +2025-07-02 00:27:03,939 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:48:41, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9962, loss_cls: 0.1191, loss: 0.1191 +2025-07-02 00:27:22,121 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 00:27:40,392 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 00:27:58,433 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1165, loss: 0.1165 +2025-07-02 00:28:16,252 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0877, loss: 0.0877 +2025-07-02 00:28:34,010 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 00:28:51,979 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:46:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 00:29:09,948 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 00:29:28,474 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 00:30:05,462 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:30:05,490 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9964 +2025-07-02 00:30:05,491 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9656, top5_acc: 0.9964 +2025-07-02 00:30:47,799 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:45:54, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1400, loss: 0.1400 +2025-07-02 00:31:06,427 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:35, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1145, loss: 0.1145 +2025-07-02 00:31:24,388 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 00:31:42,578 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:44:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0969, loss: 0.0969 +2025-07-02 00:32:00,341 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:44:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 00:32:18,189 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 00:32:36,102 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0940, loss: 0.0940 +2025-07-02 00:32:54,156 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 00:33:12,528 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 00:33:48,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:33:48,697 - pyskl - INFO - +top1_acc 0.9680 +top5_acc 0.9964 +2025-07-02 00:33:48,698 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9680, top5_acc: 0.9964 +2025-07-02 00:34:30,945 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:06, time: 0.422, data_time: 0.235, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 00:34:48,908 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:42:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0936, loss: 0.0936 +2025-07-02 00:35:07,154 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1387, loss: 0.1387 +2025-07-02 00:35:25,148 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0887, loss: 0.0887 +2025-07-02 00:35:42,976 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:41:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0962, loss: 0.0962 +2025-07-02 00:36:00,973 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1073, loss: 0.1073 +2025-07-02 00:36:19,132 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0997, loss: 0.0997 +2025-07-02 00:36:36,823 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:40:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0913, loss: 0.0913 +2025-07-02 00:36:54,918 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 00:37:31,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:37:31,834 - pyskl - INFO - +top1_acc 0.9688 +top5_acc 0.9967 +2025-07-02 00:37:31,836 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9688, top5_acc: 0.9967 +2025-07-02 00:38:14,517 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:19, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 00:38:32,561 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 00:38:50,836 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 00:39:09,358 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:23, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 00:39:27,313 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 00:39:45,112 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:38:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1125, loss: 0.1125 +2025-07-02 00:40:02,833 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.0942, loss: 0.0942 +2025-07-02 00:40:20,785 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0987, loss: 0.0987 +2025-07-02 00:40:39,397 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 00:41:17,067 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:41:17,091 - pyskl - INFO - +top1_acc 0.9712 +top5_acc 0.9964 +2025-07-02 00:41:17,096 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_111.pth was removed +2025-07-02 00:41:17,321 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2025-07-02 00:41:17,321 - pyskl - INFO - Best top1_acc is 0.9712 at 115 epoch. +2025-07-02 00:41:17,323 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9712, top5_acc: 0.9964 +2025-07-02 00:41:59,154 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:31, time: 0.418, data_time: 0.238, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 00:42:17,192 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 00:42:35,137 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:36:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 00:42:53,410 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0817, loss: 0.0817 +2025-07-02 00:43:11,261 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1017, loss: 0.1017 +2025-07-02 00:43:29,082 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:35:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 00:43:47,104 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1169, loss: 0.1169 +2025-07-02 00:44:04,962 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1063, loss: 0.1063 +2025-07-02 00:44:23,163 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 00:44:59,863 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:44:59,886 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9969 +2025-07-02 00:44:59,887 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9691, top5_acc: 0.9969 +2025-07-02 00:45:41,862 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:44, time: 0.420, data_time: 0.234, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9962, loss_cls: 0.1040, loss: 0.1040 +2025-07-02 00:45:59,778 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 00:46:18,258 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:06, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 00:46:36,414 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:33:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0716, loss: 0.0716 +2025-07-02 00:46:54,812 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0811, loss: 0.0811 +2025-07-02 00:47:12,768 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 00:47:30,624 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:32:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0913, loss: 0.0913 +2025-07-02 00:47:48,492 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1138, loss: 0.1138 +2025-07-02 00:48:06,797 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 00:48:43,675 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:48:43,703 - pyskl - INFO - +top1_acc 0.9695 +top5_acc 0.9964 +2025-07-02 00:48:43,704 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9695, top5_acc: 0.9964 +2025-07-02 00:49:26,123 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:31:56, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1002, loss: 0.1002 +2025-07-02 00:49:44,350 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0777, loss: 0.0777 +2025-07-02 00:50:02,474 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 00:50:20,685 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 00:50:38,949 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0864, loss: 0.0864 +2025-07-02 00:50:56,758 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0866, loss: 0.0866 +2025-07-02 00:51:14,591 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 00:51:32,204 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9962, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 00:51:50,575 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 00:52:28,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:52:28,169 - pyskl - INFO - +top1_acc 0.9719 +top5_acc 0.9971 +2025-07-02 00:52:28,175 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_115.pth was removed +2025-07-02 00:52:28,349 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-07-02 00:52:28,349 - pyskl - INFO - Best top1_acc is 0.9719 at 118 epoch. +2025-07-02 00:52:28,351 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9719, top5_acc: 0.9971 +2025-07-02 00:53:11,651 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:09, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 00:53:29,501 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:28:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 00:53:47,665 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 00:54:05,686 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0681, loss: 0.0681 +2025-07-02 00:54:23,508 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:27:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0587, loss: 0.0587 +2025-07-02 00:54:41,405 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 00:54:59,124 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0870, loss: 0.0870 +2025-07-02 00:55:17,185 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:26:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 00:55:35,551 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 00:56:13,056 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:56:13,087 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9974 +2025-07-02 00:56:13,092 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_118.pth was removed +2025-07-02 00:56:13,306 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-07-02 00:56:13,306 - pyskl - INFO - Best top1_acc is 0.9729 at 119 epoch. +2025-07-02 00:56:13,308 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9729, top5_acc: 0.9974 +2025-07-02 00:56:56,454 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:21, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 00:57:14,650 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0747, loss: 0.0747 +2025-07-02 00:57:32,908 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1025, loss: 0.1025 +2025-07-02 00:57:51,497 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:25, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0657, loss: 0.0657 +2025-07-02 00:58:09,443 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0890, loss: 0.0890 +2025-07-02 00:58:27,092 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:47, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 00:58:44,985 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0740, loss: 0.0740 +2025-07-02 00:59:02,767 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 00:59:21,069 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 00:59:58,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:59:58,675 - pyskl - INFO - +top1_acc 0.9705 +top5_acc 0.9968 +2025-07-02 00:59:58,677 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9705, top5_acc: 0.9968 +2025-07-02 01:00:41,955 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:34, time: 0.433, data_time: 0.244, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 01:00:59,847 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 01:01:18,110 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:22:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0718, loss: 0.0718 +2025-07-02 01:01:35,931 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 01:01:53,781 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 01:02:11,318 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:00, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0871, loss: 0.0871 +2025-07-02 01:02:28,860 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:41, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0651, loss: 0.0651 +2025-07-02 01:02:46,600 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 01:03:04,715 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 01:03:42,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:03:42,263 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9965 +2025-07-02 01:03:42,264 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9729, top5_acc: 0.9965 +2025-07-02 01:04:25,379 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:46, time: 0.431, data_time: 0.251, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 01:04:43,628 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 01:05:01,529 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 01:05:19,457 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:19:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 0.0607, loss: 0.0607 +2025-07-02 01:05:37,475 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 01:05:55,140 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 01:06:12,717 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:18:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 01:06:30,556 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0621, loss: 0.0621 +2025-07-02 01:06:48,461 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 01:07:25,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:07:25,278 - pyskl - INFO - +top1_acc 0.9694 +top5_acc 0.9969 +2025-07-02 01:07:25,279 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9694, top5_acc: 0.9969 +2025-07-02 01:08:07,623 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:17:59, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 01:08:25,558 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0548, loss: 0.0548 +2025-07-02 01:08:43,554 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0494, loss: 0.0494 +2025-07-02 01:09:01,863 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 01:09:19,923 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 01:09:38,086 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0523, loss: 0.0523 +2025-07-02 01:09:55,856 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 01:10:13,885 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 01:10:31,975 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 01:11:08,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:11:08,449 - pyskl - INFO - +top1_acc 0.9718 +top5_acc 0.9968 +2025-07-02 01:11:08,450 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9718, top5_acc: 0.9968 +2025-07-02 01:11:51,938 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:11, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 01:12:09,998 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:14:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 01:12:27,739 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 01:12:45,663 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 01:13:03,667 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:13:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9969, loss_cls: 0.0741, loss: 0.0741 +2025-07-02 01:13:21,538 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 01:13:39,364 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 01:13:57,349 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:12:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0645, loss: 0.0645 +2025-07-02 01:14:15,617 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 01:14:52,214 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:14:52,243 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9974 +2025-07-02 01:14:52,245 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9729, top5_acc: 0.9974 +2025-07-02 01:15:35,096 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:23, time: 0.428, data_time: 0.247, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0619, loss: 0.0619 +2025-07-02 01:15:52,981 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 01:16:11,242 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9969, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 01:16:29,349 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 01:16:47,433 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 01:17:05,325 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 01:17:23,258 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 01:17:41,186 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0671, loss: 0.0671 +2025-07-02 01:17:59,250 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 01:18:35,754 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:18:35,777 - pyskl - INFO - +top1_acc 0.9715 +top5_acc 0.9971 +2025-07-02 01:18:35,778 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9715, top5_acc: 0.9971 +2025-07-02 01:19:18,609 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:36, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 01:19:36,329 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 01:19:54,371 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:08:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 01:20:12,674 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 01:20:30,663 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0575, loss: 0.0575 +2025-07-02 01:20:48,664 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 01:21:06,668 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 01:21:25,156 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 01:21:43,191 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 01:22:19,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:22:19,523 - pyskl - INFO - +top1_acc 0.9747 +top5_acc 0.9974 +2025-07-02 01:22:19,527 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_119.pth was removed +2025-07-02 01:22:19,704 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_126.pth. +2025-07-02 01:22:19,704 - pyskl - INFO - Best top1_acc is 0.9747 at 126 epoch. +2025-07-02 01:22:19,706 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9747, top5_acc: 0.9974 +2025-07-02 01:23:02,846 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:48, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 01:23:20,704 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 01:23:38,684 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 01:23:56,747 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:05:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 01:24:14,473 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0713, loss: 0.0713 +2025-07-02 01:24:32,561 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0664, loss: 0.0664 +2025-07-02 01:24:50,188 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:04:55, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 01:25:08,119 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 01:25:26,420 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 01:26:03,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:26:03,675 - pyskl - INFO - +top1_acc 0.9747 +top5_acc 0.9972 +2025-07-02 01:26:03,676 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9747, top5_acc: 0.9972 +2025-07-02 01:26:47,575 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:01, time: 0.439, data_time: 0.254, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 01:27:05,696 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0663, loss: 0.0663 +2025-07-02 01:27:23,732 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 01:27:41,844 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 01:27:59,896 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 01:28:17,976 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 01:28:35,680 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 01:28:53,303 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:49, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0614, loss: 0.0614 +2025-07-02 01:29:12,112 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 01:29:49,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:29:49,067 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9982 +2025-07-02 01:29:49,068 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9745, top5_acc: 0.9982 +2025-07-02 01:30:32,090 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:13, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 01:30:50,284 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:00:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 01:31:08,704 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:36, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 01:31:26,517 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 01:31:44,769 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 0:59:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 01:32:02,777 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 01:32:20,441 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 01:32:38,723 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 01:32:56,949 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 01:33:33,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:33:33,456 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9975 +2025-07-02 01:33:33,461 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_126.pth was removed +2025-07-02 01:33:33,812 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 01:33:33,812 - pyskl - INFO - Best top1_acc is 0.9757 at 129 epoch. +2025-07-02 01:33:33,814 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9757, top5_acc: 0.9975 +2025-07-02 01:34:18,902 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:26, time: 0.451, data_time: 0.269, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 01:34:37,174 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 01:34:55,292 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 01:35:13,233 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 01:35:31,231 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 01:35:48,923 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:56:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 01:36:06,979 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 01:36:24,796 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 01:36:43,000 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 01:37:19,457 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:37:19,481 - pyskl - INFO - +top1_acc 0.9743 +top5_acc 0.9975 +2025-07-02 01:37:19,482 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9743, top5_acc: 0.9975 +2025-07-02 01:38:02,504 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:38, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 01:38:20,621 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 01:38:38,696 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9981, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 01:38:56,638 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 01:39:14,581 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 01:39:32,725 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 01:39:50,786 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 01:40:09,241 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 01:40:27,436 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 01:41:03,883 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:41:03,907 - pyskl - INFO - +top1_acc 0.9762 +top5_acc 0.9969 +2025-07-02 01:41:03,911 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_129.pth was removed +2025-07-02 01:41:04,084 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 01:41:04,084 - pyskl - INFO - Best top1_acc is 0.9762 at 131 epoch. +2025-07-02 01:41:04,086 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9762, top5_acc: 0.9969 +2025-07-02 01:41:48,128 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:51, time: 0.440, data_time: 0.256, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 01:42:06,270 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 01:42:24,404 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 01:42:42,708 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:51:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 01:43:00,925 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 01:43:19,425 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:17, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 01:43:37,046 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:50:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 01:43:55,385 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 01:44:13,845 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 01:44:50,870 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:44:50,892 - pyskl - INFO - +top1_acc 0.9751 +top5_acc 0.9972 +2025-07-02 01:44:50,893 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9751, top5_acc: 0.9972 +2025-07-02 01:45:33,205 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:03, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 01:45:51,553 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 01:46:09,332 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 01:46:27,289 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 01:46:45,159 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 01:47:03,755 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:29, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 01:47:21,684 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 01:47:39,925 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 01:47:58,410 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 01:48:35,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:48:35,303 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9968 +2025-07-02 01:48:35,304 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9752, top5_acc: 0.9968 +2025-07-02 01:49:18,538 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:16, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 01:49:36,841 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:46:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 01:49:54,825 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 01:50:12,988 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 01:50:30,905 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 01:50:48,936 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 01:51:06,933 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 01:51:24,859 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0539, loss: 0.0539 +2025-07-02 01:51:43,314 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 01:52:20,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:52:20,072 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9972 +2025-07-02 01:52:20,073 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9752, top5_acc: 0.9972 +2025-07-02 01:53:01,551 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:28, time: 0.415, data_time: 0.233, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 01:53:19,660 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 01:53:37,283 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:50, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 01:53:55,264 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 01:54:13,461 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 01:54:31,446 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 01:54:49,105 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 01:55:06,903 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 01:55:25,167 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 01:56:02,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:56:02,093 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9972 +2025-07-02 01:56:02,094 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9758, top5_acc: 0.9972 +2025-07-02 01:56:44,714 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:40, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 01:57:02,856 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 01:57:20,893 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 01:57:38,700 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 01:57:57,017 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 01:58:15,077 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 01:58:33,064 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 01:58:51,140 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 01:59:09,490 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 01:59:46,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:59:46,762 - pyskl - INFO - +top1_acc 0.9744 +top5_acc 0.9974 +2025-07-02 01:59:46,764 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9744, top5_acc: 0.9974 +2025-07-02 02:00:30,240 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:52, time: 0.435, data_time: 0.254, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 02:00:48,233 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 02:01:06,476 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 02:01:24,396 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:37:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 02:01:42,353 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 02:02:00,180 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 02:02:18,305 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:36:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:02:36,126 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 02:02:54,520 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 02:03:31,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:03:31,926 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9976 +2025-07-02 02:03:31,927 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9757, top5_acc: 0.9976 +2025-07-02 02:04:14,916 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:04, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 02:04:33,242 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 02:04:50,944 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 02:05:09,001 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0227, loss: 0.0227 +2025-07-02 02:05:27,009 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 02:05:45,177 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 02:06:02,923 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 02:06:21,123 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:06:39,426 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 02:07:16,268 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:07:16,298 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9975 +2025-07-02 02:07:16,300 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9758, top5_acc: 0.9975 +2025-07-02 02:07:58,379 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:16, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 02:08:16,477 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:32:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 02:08:34,656 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 02:08:52,609 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:09:10,685 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 02:09:28,737 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 02:09:46,401 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 02:10:03,954 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 02:10:22,149 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 02:10:58,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:10:58,613 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9974 +2025-07-02 02:10:58,615 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9758, top5_acc: 0.9974 +2025-07-02 02:11:41,018 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:28, time: 0.424, data_time: 0.243, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 02:11:59,385 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:09, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:12:17,475 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 02:12:35,524 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 02:12:53,511 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 02:13:11,329 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 02:13:29,500 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 02:13:47,380 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 02:14:05,600 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 02:14:42,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:14:42,523 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9975 +2025-07-02 02:14:42,524 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9758, top5_acc: 0.9975 +2025-07-02 02:15:25,137 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:40, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 02:15:43,387 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 02:16:02,222 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:03, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 02:16:20,043 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 02:16:38,364 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 02:16:56,217 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 02:17:14,482 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 02:17:32,572 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 02:17:50,830 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 02:18:27,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:18:27,227 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9974 +2025-07-02 02:18:27,228 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9761, top5_acc: 0.9974 +2025-07-02 02:19:10,207 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:53, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 02:19:27,976 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 02:19:45,982 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 02:20:03,716 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 02:20:21,924 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 02:20:39,989 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 02:20:58,496 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:00, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 02:21:16,280 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 02:21:34,845 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 02:22:11,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:22:11,580 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9975 +2025-07-02 02:22:11,581 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9761, top5_acc: 0.9975 +2025-07-02 02:22:54,681 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:05, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 02:23:12,537 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 02:23:30,746 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0247, loss: 0.0247 +2025-07-02 02:23:48,389 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:08, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 02:24:06,415 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 02:24:24,286 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 02:24:42,027 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 02:24:59,912 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 02:25:18,396 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 02:25:54,994 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:25:55,017 - pyskl - INFO - +top1_acc 0.9763 +top5_acc 0.9974 +2025-07-02 02:25:55,021 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_131.pth was removed +2025-07-02 02:25:55,191 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. +2025-07-02 02:25:55,192 - pyskl - INFO - Best top1_acc is 0.9763 at 143 epoch. +2025-07-02 02:25:55,193 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9763, top5_acc: 0.9974 +2025-07-02 02:26:37,932 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:17, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 02:26:55,808 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:18:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 02:27:14,277 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:39, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 02:27:32,122 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 02:27:50,016 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 02:28:07,916 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 02:28:25,946 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 02:28:43,868 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 02:29:02,422 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 02:29:39,768 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:29:39,791 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9974 +2025-07-02 02:29:39,795 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_143.pth was removed +2025-07-02 02:29:39,968 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2025-07-02 02:29:39,968 - pyskl - INFO - Best top1_acc is 0.9779 at 144 epoch. +2025-07-02 02:29:39,970 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9779, top5_acc: 0.9974 +2025-07-02 02:30:22,093 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:29, time: 0.421, data_time: 0.240, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 02:30:40,357 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 02:30:58,420 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0137, loss: 0.0137 +2025-07-02 02:31:16,249 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:31:34,616 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 02:31:52,831 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 02:32:10,866 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 02:32:29,497 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:18, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 02:32:48,109 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 02:33:26,147 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:33:26,170 - pyskl - INFO - +top1_acc 0.9765 +top5_acc 0.9974 +2025-07-02 02:33:26,171 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9765, top5_acc: 0.9974 +2025-07-02 02:34:08,807 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:41, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 02:34:26,683 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9994, top5_acc: 1.0000, loss_cls: 0.0108, loss: 0.0108 +2025-07-02 02:34:44,876 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 02:35:02,956 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 02:35:20,658 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 02:35:38,692 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 02:35:56,846 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:48, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 02:36:15,145 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 02:36:33,723 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 02:37:10,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:37:10,546 - pyskl - INFO - +top1_acc 0.9755 +top5_acc 0.9974 +2025-07-02 02:37:10,547 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9755, top5_acc: 0.9974 +2025-07-02 02:37:53,064 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:53, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 02:38:10,979 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 02:38:29,168 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 02:38:46,804 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 02:39:04,839 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 02:39:22,623 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 02:39:40,680 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 02:39:58,468 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 02:40:17,391 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 02:40:54,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:40:54,672 - pyskl - INFO - +top1_acc 0.9768 +top5_acc 0.9974 +2025-07-02 02:40:54,673 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9768, top5_acc: 0.9974 +2025-07-02 02:41:37,715 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:05, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 02:41:55,668 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0245, loss: 0.0245 +2025-07-02 02:42:13,961 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 02:42:31,790 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 02:42:49,565 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0196, loss: 0.0196 +2025-07-02 02:43:07,618 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 02:43:25,335 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 02:43:43,135 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 02:44:01,399 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 02:44:38,986 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:44:39,015 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9972 +2025-07-02 02:44:39,017 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9761, top5_acc: 0.9972 +2025-07-02 02:45:21,284 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:17, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 02:45:39,449 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 02:45:57,519 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 02:46:15,621 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 02:46:33,353 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 02:46:51,401 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 02:47:09,127 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:47:26,701 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 02:47:45,422 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 02:48:23,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:48:23,205 - pyskl - INFO - +top1_acc 0.9768 +top5_acc 0.9975 +2025-07-02 02:48:23,208 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9768, top5_acc: 0.9975 +2025-07-02 02:49:05,721 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:49:23,542 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 02:49:41,273 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 02:49:59,391 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0186, loss: 0.0186 +2025-07-02 02:50:17,065 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 02:50:34,938 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 02:50:53,264 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 02:51:10,781 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 02:51:28,800 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 02:52:06,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:52:06,030 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9975 +2025-07-02 02:52:06,032 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9757, top5_acc: 0.9975 +2025-07-02 02:52:13,901 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 02:55:48,158 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 02:55:48,158 - pyskl - INFO - top1_acc: 0.9776 +2025-07-02 02:55:48,158 - pyskl - INFO - top5_acc: 0.9978 +2025-07-02 02:55:48,159 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/b_1/best_top1_acc_epoch_144.pth +2025-07-02 02:59:18,722 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 02:59:18,722 - pyskl - INFO - top1_acc: 0.9780 +2025-07-02 02:59:18,722 - pyskl - INFO - top5_acc: 0.9978 diff --git a/pku_mmd_xview/b_1/20250701_173349.log.json b/pku_mmd_xview/b_1/20250701_173349.log.json new file mode 100644 index 0000000000000000000000000000000000000000..80408b1e5f5543fa5ab29c9696fe75af25775eed --- /dev/null +++ b/pku_mmd_xview/b_1/20250701_173349.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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+{"mode": "val", "epoch": 150, "iter": 450, "lr": 0.0, "top1_acc": 0.97565, "top5_acc": 0.9975} diff --git a/pku_mmd_xview/b_1/b_1.py b/pku_mmd_xview/b_1/b_1.py new file mode 100644 index 0000000000000000000000000000000000000000..ea598d70548710599cb4c38719a72c43eaa1d99a --- /dev/null +++ b/pku_mmd_xview/b_1/b_1.py @@ -0,0 +1,98 @@ +modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/b_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/b_1/best_pred.pkl b/pku_mmd_xview/b_1/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..29486cb277c399c60998e526487a11e318332765 --- /dev/null +++ b/pku_mmd_xview/b_1/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c993c41d66b38fd880c2d337818ee6e2fdffcebddf990d44bc9d7ba07b6ed996 +size 2538706 diff --git a/pku_mmd_xview/b_1/best_top1_acc_epoch_144.pth b/pku_mmd_xview/b_1/best_top1_acc_epoch_144.pth new file mode 100644 index 0000000000000000000000000000000000000000..f4ccf31d50ea8132c7d3c715b54357abfd365b92 --- /dev/null +++ b/pku_mmd_xview/b_1/best_top1_acc_epoch_144.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c13d1e45600d95327be11a059fdcf804b45d18512ea3749a65fa7fc1a141d4e6 +size 32917105 diff --git a/pku_mmd_xview/b_2/20250701_173309.log b/pku_mmd_xview/b_2/20250701_173309.log new file mode 100644 index 0000000000000000000000000000000000000000..7cb35b0585140942a971653992eab07da47fe509 --- /dev/null +++ b/pku_mmd_xview/b_2/20250701_173309.log @@ -0,0 +1,2410 @@ +2025-07-01 17:33:09,704 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-01 17:33:09,962 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/b_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-01 17:33:09,962 - pyskl - INFO - Set random seed to 1541263018, deterministic: False +2025-07-01 17:33:14,256 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-01 17:33:20,897 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-01 17:33:20,897 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2 +2025-07-01 17:33:20,898 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-01 17:33:20,898 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-01 17:33:20,898 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2 by HardDiskBackend. +2025-07-01 17:33:58,692 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 14:07:45, time: 0.378, data_time: 0.214, memory: 2902, top1_acc: 0.0469, top5_acc: 0.1844, loss_cls: 4.3549, loss: 4.3549 +2025-07-01 17:34:15,107 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:07:32, time: 0.164, data_time: 0.000, memory: 2902, top1_acc: 0.0875, top5_acc: 0.3262, loss_cls: 4.0525, loss: 4.0525 +2025-07-01 17:34:31,391 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 8:46:18, time: 0.163, data_time: 0.000, memory: 2902, top1_acc: 0.1200, top5_acc: 0.4350, loss_cls: 3.7242, loss: 3.7242 +2025-07-01 17:34:48,305 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:09:05, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.1719, top5_acc: 0.5281, loss_cls: 3.4301, loss: 3.4301 +2025-07-01 17:35:04,925 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 7:45:19, time: 0.166, data_time: 0.000, memory: 2902, top1_acc: 0.1963, top5_acc: 0.5894, loss_cls: 3.2219, loss: 3.2219 +2025-07-01 17:35:21,634 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:29:42, time: 0.167, data_time: 0.000, memory: 2902, top1_acc: 0.2944, top5_acc: 0.7031, loss_cls: 2.8749, loss: 2.8749 +2025-07-01 17:35:38,542 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:19:07, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.3106, top5_acc: 0.7469, loss_cls: 2.7295, loss: 2.7295 +2025-07-01 17:35:55,400 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:10:58, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.3463, top5_acc: 0.7775, loss_cls: 2.6310, loss: 2.6310 +2025-07-01 17:36:13,103 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-01 17:36:49,943 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:36:49,965 - pyskl - INFO - +top1_acc 0.3940 +top5_acc 0.8213 +2025-07-01 17:36:50,125 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-01 17:36:50,126 - pyskl - INFO - Best top1_acc is 0.3940 at 1 epoch. +2025-07-01 17:36:50,127 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.3940, top5_acc: 0.8213 +2025-07-01 17:37:30,850 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:15:52, time: 0.407, data_time: 0.237, memory: 2902, top1_acc: 0.3931, top5_acc: 0.8213, loss_cls: 2.4064, loss: 2.4064 +2025-07-01 17:37:48,047 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:10:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.4125, top5_acc: 0.8431, loss_cls: 2.3211, loss: 2.3211 +2025-07-01 17:38:05,166 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:06:17, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.4750, top5_acc: 0.8662, loss_cls: 2.1341, loss: 2.1341 +2025-07-01 17:38:22,196 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:02:19, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.4688, top5_acc: 0.8800, loss_cls: 2.1188, loss: 2.1188 +2025-07-01 17:38:39,159 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 6:58:46, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.4863, top5_acc: 0.8881, loss_cls: 2.0232, loss: 2.0232 +2025-07-01 17:38:56,547 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 6:56:17, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5156, top5_acc: 0.9062, loss_cls: 1.9053, loss: 1.9053 +2025-07-01 17:39:13,876 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 6:54:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5100, top5_acc: 0.9025, loss_cls: 1.9736, loss: 1.9736 +2025-07-01 17:39:31,097 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 6:51:48, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5356, top5_acc: 0.9119, loss_cls: 1.8523, loss: 1.8523 +2025-07-01 17:39:48,744 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-01 17:40:26,137 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:40:26,159 - pyskl - INFO - +top1_acc 0.6264 +top5_acc 0.9460 +2025-07-01 17:40:26,163 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_1.pth was removed +2025-07-01 17:40:26,346 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-01 17:40:26,346 - pyskl - INFO - Best top1_acc is 0.6264 at 2 epoch. +2025-07-01 17:40:26,348 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.6264, top5_acc: 0.9460 +2025-07-01 17:41:07,692 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 6:56:31, time: 0.413, data_time: 0.239, memory: 2902, top1_acc: 0.5637, top5_acc: 0.9125, loss_cls: 1.8082, loss: 1.8082 +2025-07-01 17:41:24,625 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 6:54:06, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.6012, top5_acc: 0.9325, loss_cls: 1.6342, loss: 1.6342 +2025-07-01 17:41:42,015 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 6:52:23, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6081, top5_acc: 0.9363, loss_cls: 1.6366, loss: 1.6366 +2025-07-01 17:41:59,035 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 6:50:26, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.5794, top5_acc: 0.9200, loss_cls: 1.7206, loss: 1.7206 +2025-07-01 17:42:16,088 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 6:48:39, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.6000, top5_acc: 0.9319, loss_cls: 1.6230, loss: 1.6230 +2025-07-01 17:42:33,587 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:47:24, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6400, top5_acc: 0.9387, loss_cls: 1.4963, loss: 1.4963 +2025-07-01 17:42:50,801 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:45:58, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6394, top5_acc: 0.9456, loss_cls: 1.5002, loss: 1.5002 +2025-07-01 17:43:07,883 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:44:32, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.6475, top5_acc: 0.9431, loss_cls: 1.5070, loss: 1.5070 +2025-07-01 17:43:25,502 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-01 17:44:01,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:44:01,750 - pyskl - INFO - +top1_acc 0.7224 +top5_acc 0.9681 +2025-07-01 17:44:01,755 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_2.pth was removed +2025-07-01 17:44:01,940 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-01 17:44:01,940 - pyskl - INFO - Best top1_acc is 0.7224 at 3 epoch. +2025-07-01 17:44:01,942 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7224, top5_acc: 0.9681 +2025-07-01 17:44:43,908 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:48:19, time: 0.420, data_time: 0.246, memory: 2902, top1_acc: 0.6856, top5_acc: 0.9481, loss_cls: 1.3907, loss: 1.3907 +2025-07-01 17:45:01,181 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:47:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6806, top5_acc: 0.9563, loss_cls: 1.3604, loss: 1.3604 +2025-07-01 17:45:18,409 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:45:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7000, top5_acc: 0.9500, loss_cls: 1.3635, loss: 1.3635 +2025-07-01 17:45:35,767 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:44:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6806, top5_acc: 0.9550, loss_cls: 1.3375, loss: 1.3375 +2025-07-01 17:45:53,007 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:43:30, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6869, top5_acc: 0.9506, loss_cls: 1.3391, loss: 1.3391 +2025-07-01 17:46:10,349 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:42:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7063, top5_acc: 0.9519, loss_cls: 1.2997, loss: 1.2997 +2025-07-01 17:46:27,845 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:41:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6894, top5_acc: 0.9506, loss_cls: 1.3523, loss: 1.3523 +2025-07-01 17:46:44,924 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:40:31, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7200, top5_acc: 0.9637, loss_cls: 1.2662, loss: 1.2662 +2025-07-01 17:47:02,723 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-01 17:47:39,932 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:47:39,960 - pyskl - INFO - +top1_acc 0.5980 +top5_acc 0.9331 +2025-07-01 17:47:39,961 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.5980, top5_acc: 0.9331 +2025-07-01 17:48:21,838 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:43:13, time: 0.419, data_time: 0.246, memory: 2902, top1_acc: 0.7125, top5_acc: 0.9556, loss_cls: 1.2895, loss: 1.2895 +2025-07-01 17:48:38,920 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:42:07, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7244, top5_acc: 0.9675, loss_cls: 1.1731, loss: 1.1731 +2025-07-01 17:48:56,091 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:41:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7244, top5_acc: 0.9656, loss_cls: 1.1962, loss: 1.1962 +2025-07-01 17:49:13,215 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:40:06, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7306, top5_acc: 0.9669, loss_cls: 1.1936, loss: 1.1936 +2025-07-01 17:49:30,277 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:39:06, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7462, top5_acc: 0.9650, loss_cls: 1.1207, loss: 1.1207 +2025-07-01 17:49:47,785 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:38:22, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7425, top5_acc: 0.9575, loss_cls: 1.2084, loss: 1.2084 +2025-07-01 17:50:05,128 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:37:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7519, top5_acc: 0.9669, loss_cls: 1.1560, loss: 1.1560 +2025-07-01 17:50:22,411 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:36:46, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7362, top5_acc: 0.9637, loss_cls: 1.1926, loss: 1.1926 +2025-07-01 17:50:40,521 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-01 17:51:17,985 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:51:18,007 - pyskl - INFO - +top1_acc 0.7827 +top5_acc 0.9821 +2025-07-01 17:51:18,011 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_3.pth was removed +2025-07-01 17:51:18,182 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-01 17:51:18,182 - pyskl - INFO - Best top1_acc is 0.7827 at 5 epoch. +2025-07-01 17:51:18,184 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.7827, top5_acc: 0.9821 +2025-07-01 17:51:59,579 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:38:37, time: 0.414, data_time: 0.240, memory: 2902, top1_acc: 0.7575, top5_acc: 0.9650, loss_cls: 1.1264, loss: 1.1264 +2025-07-01 17:52:16,608 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:37:42, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7425, top5_acc: 0.9663, loss_cls: 1.1294, loss: 1.1294 +2025-07-01 17:52:33,815 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:36:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9775, loss_cls: 1.0656, loss: 1.0656 +2025-07-01 17:52:51,046 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:36:05, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7712, top5_acc: 0.9706, loss_cls: 1.0654, loss: 1.0654 +2025-07-01 17:53:08,322 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:35:19, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7650, top5_acc: 0.9781, loss_cls: 1.0722, loss: 1.0722 +2025-07-01 17:53:25,748 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:34:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7631, top5_acc: 0.9637, loss_cls: 1.1316, loss: 1.1316 +2025-07-01 17:53:43,507 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:34:08, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7806, top5_acc: 0.9781, loss_cls: 0.9986, loss: 0.9986 +2025-07-01 17:54:01,298 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:33:38, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9738, loss_cls: 1.0186, loss: 1.0186 +2025-07-01 17:54:18,903 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-01 17:54:55,873 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:54:55,906 - pyskl - INFO - +top1_acc 0.8147 +top5_acc 0.9844 +2025-07-01 17:54:55,913 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_5.pth was removed +2025-07-01 17:54:56,118 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-01 17:54:56,118 - pyskl - INFO - Best top1_acc is 0.8147 at 6 epoch. +2025-07-01 17:54:56,120 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8147, top5_acc: 0.9844 +2025-07-01 17:55:38,453 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:35:28, time: 0.423, data_time: 0.244, memory: 2902, top1_acc: 0.7731, top5_acc: 0.9675, loss_cls: 1.0633, loss: 1.0633 +2025-07-01 17:55:55,692 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:34:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9700, loss_cls: 1.0161, loss: 1.0161 +2025-07-01 17:56:13,607 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:34:15, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9731, loss_cls: 0.9783, loss: 0.9783 +2025-07-01 17:56:30,826 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:33:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7750, top5_acc: 0.9750, loss_cls: 1.0430, loss: 1.0430 +2025-07-01 17:56:47,995 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:32:49, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9744, loss_cls: 0.9929, loss: 0.9929 +2025-07-01 17:57:05,506 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:32:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9700, loss_cls: 0.9990, loss: 0.9990 +2025-07-01 17:57:22,892 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:31:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9669, loss_cls: 1.0151, loss: 1.0151 +2025-07-01 17:57:40,450 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:31:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9750, loss_cls: 0.9303, loss: 0.9303 +2025-07-01 17:57:58,014 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-01 17:58:35,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:58:35,242 - pyskl - INFO - +top1_acc 0.8077 +top5_acc 0.9843 +2025-07-01 17:58:35,243 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8077, top5_acc: 0.9843 +2025-07-01 17:59:16,850 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:32:17, time: 0.416, data_time: 0.243, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9769, loss_cls: 0.9611, loss: 0.9611 +2025-07-01 17:59:33,834 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:31:31, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9762, loss_cls: 0.9055, loss: 0.9055 +2025-07-01 17:59:51,334 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:30:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9794, loss_cls: 0.9305, loss: 0.9305 +2025-07-01 18:00:08,651 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:30:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9644, loss_cls: 1.0292, loss: 1.0292 +2025-07-01 18:00:26,037 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:29:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9781, loss_cls: 0.9300, loss: 0.9300 +2025-07-01 18:00:43,299 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:29:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8113, top5_acc: 0.9731, loss_cls: 0.9124, loss: 0.9124 +2025-07-01 18:01:00,576 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:28:31, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 0.9447, loss: 0.9447 +2025-07-01 18:01:18,175 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:28:01, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 0.9186, loss: 0.9186 +2025-07-01 18:01:35,660 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-01 18:02:12,751 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:02:12,773 - pyskl - INFO - +top1_acc 0.7969 +top5_acc 0.9733 +2025-07-01 18:02:12,774 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.7969, top5_acc: 0.9733 +2025-07-01 18:02:54,740 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:29:07, time: 0.420, data_time: 0.241, memory: 2902, top1_acc: 0.8125, top5_acc: 0.9806, loss_cls: 0.9104, loss: 0.9104 +2025-07-01 18:03:11,837 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:28:27, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9756, loss_cls: 0.8413, loss: 0.8413 +2025-07-01 18:03:29,153 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:27:52, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9831, loss_cls: 0.9001, loss: 0.9001 +2025-07-01 18:03:46,691 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:27:21, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9769, loss_cls: 0.9171, loss: 0.9171 +2025-07-01 18:04:04,231 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:26:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9669, loss_cls: 0.9526, loss: 0.9526 +2025-07-01 18:04:21,464 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:26:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9819, loss_cls: 0.8222, loss: 0.8222 +2025-07-01 18:04:38,635 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:25:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9706, loss_cls: 0.9326, loss: 0.9326 +2025-07-01 18:04:55,736 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:25:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9781, loss_cls: 0.8840, loss: 0.8840 +2025-07-01 18:05:13,349 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-01 18:05:50,523 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:05:50,545 - pyskl - INFO - +top1_acc 0.8723 +top5_acc 0.9872 +2025-07-01 18:05:50,549 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_6.pth was removed +2025-07-01 18:05:50,710 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-01 18:05:50,711 - pyskl - INFO - Best top1_acc is 0.8723 at 9 epoch. +2025-07-01 18:05:50,713 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8723, top5_acc: 0.9872 +2025-07-01 18:06:32,854 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:26:00, time: 0.421, data_time: 0.247, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9775, loss_cls: 0.8631, loss: 0.8631 +2025-07-01 18:06:49,982 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:25:24, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9769, loss_cls: 0.8107, loss: 0.8107 +2025-07-01 18:07:07,211 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:24:49, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9812, loss_cls: 0.8155, loss: 0.8155 +2025-07-01 18:07:24,376 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:24:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9712, loss_cls: 0.8655, loss: 0.8655 +2025-07-01 18:07:41,417 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:23:38, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9756, loss_cls: 0.8551, loss: 0.8551 +2025-07-01 18:07:58,427 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:23:02, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9663, loss_cls: 0.9289, loss: 0.9289 +2025-07-01 18:08:15,282 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:22:24, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9788, loss_cls: 0.8047, loss: 0.8047 +2025-07-01 18:08:32,341 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:21:49, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 0.8118, loss: 0.8118 +2025-07-01 18:08:49,775 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-01 18:09:27,099 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:09:27,129 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9887 +2025-07-01 18:09:27,135 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_9.pth was removed +2025-07-01 18:09:27,308 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-01 18:09:27,309 - pyskl - INFO - Best top1_acc is 0.8828 at 10 epoch. +2025-07-01 18:09:27,310 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8828, top5_acc: 0.9887 +2025-07-01 18:10:09,204 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:22:34, time: 0.419, data_time: 0.248, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 0.8156, loss: 0.8156 +2025-07-01 18:10:26,420 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:22:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9812, loss_cls: 0.8212, loss: 0.8212 +2025-07-01 18:10:43,472 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:21:27, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9756, loss_cls: 0.7901, loss: 0.7901 +2025-07-01 18:11:00,499 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:20:52, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 0.8512, loss: 0.8512 +2025-07-01 18:11:17,709 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:20:20, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 0.7679, loss: 0.7679 +2025-07-01 18:11:34,670 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:19:45, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9719, loss_cls: 0.8434, loss: 0.8434 +2025-07-01 18:11:52,204 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:19:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9788, loss_cls: 0.8217, loss: 0.8217 +2025-07-01 18:12:09,434 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:18:48, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9756, loss_cls: 0.7668, loss: 0.7668 +2025-07-01 18:12:27,611 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-01 18:13:04,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:13:04,880 - pyskl - INFO - +top1_acc 0.8279 +top5_acc 0.9769 +2025-07-01 18:13:04,881 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8279, top5_acc: 0.9769 +2025-07-01 18:13:46,256 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:19:18, time: 0.414, data_time: 0.241, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9744, loss_cls: 0.8035, loss: 0.8035 +2025-07-01 18:14:03,691 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:18:50, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9738, loss_cls: 0.7859, loss: 0.7859 +2025-07-01 18:14:20,897 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:18:19, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9838, loss_cls: 0.7564, loss: 0.7564 +2025-07-01 18:14:37,987 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:17:47, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9806, loss_cls: 0.7649, loss: 0.7649 +2025-07-01 18:14:55,368 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:17:19, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9856, loss_cls: 0.7227, loss: 0.7227 +2025-07-01 18:15:12,461 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:16:48, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9844, loss_cls: 0.7870, loss: 0.7870 +2025-07-01 18:15:29,596 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:16:17, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9856, loss_cls: 0.7596, loss: 0.7596 +2025-07-01 18:15:46,518 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:15:44, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9744, loss_cls: 0.7956, loss: 0.7956 +2025-07-01 18:16:04,133 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-01 18:16:41,279 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:16:41,306 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9868 +2025-07-01 18:16:41,307 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8794, top5_acc: 0.9868 +2025-07-01 18:17:22,809 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:16:11, time: 0.415, data_time: 0.239, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9781, loss_cls: 0.7748, loss: 0.7748 +2025-07-01 18:17:40,023 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:15:41, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7413, loss: 0.7413 +2025-07-01 18:17:57,012 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:15:09, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9788, loss_cls: 0.7482, loss: 0.7482 +2025-07-01 18:18:14,290 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:14:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9831, loss_cls: 0.7307, loss: 0.7307 +2025-07-01 18:18:31,267 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:14:09, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 0.7800, loss: 0.7800 +2025-07-01 18:18:48,438 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:13:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.7151, loss: 0.7151 +2025-07-01 18:19:05,600 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:13:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9750, loss_cls: 0.8139, loss: 0.8139 +2025-07-01 18:19:22,673 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:12:41, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9781, loss_cls: 0.7642, loss: 0.7642 +2025-07-01 18:19:40,124 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-01 18:20:17,513 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:20:17,536 - pyskl - INFO - +top1_acc 0.8567 +top5_acc 0.9862 +2025-07-01 18:20:17,537 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8567, top5_acc: 0.9862 +2025-07-01 18:20:59,862 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:13:11, time: 0.423, data_time: 0.250, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 0.7889, loss: 0.7889 +2025-07-01 18:21:17,148 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:12:43, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 0.7023, loss: 0.7023 +2025-07-01 18:21:34,100 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:12:12, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 0.7668, loss: 0.7668 +2025-07-01 18:21:51,509 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:11:46, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9850, loss_cls: 0.7674, loss: 0.7674 +2025-07-01 18:22:08,730 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:11:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 0.6877, loss: 0.6877 +2025-07-01 18:22:25,628 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:10:47, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 0.7175, loss: 0.7175 +2025-07-01 18:22:42,750 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:10:18, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9844, loss_cls: 0.7417, loss: 0.7417 +2025-07-01 18:22:59,695 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:09:48, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9844, loss_cls: 0.7098, loss: 0.7098 +2025-07-01 18:23:17,637 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-01 18:23:54,682 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:23:54,708 - pyskl - INFO - +top1_acc 0.8774 +top5_acc 0.9904 +2025-07-01 18:23:54,709 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8774, top5_acc: 0.9904 +2025-07-01 18:24:36,828 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:10:12, time: 0.421, data_time: 0.248, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9738, loss_cls: 0.7473, loss: 0.7473 +2025-07-01 18:24:54,193 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:09:46, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 0.7150, loss: 0.7150 +2025-07-01 18:25:11,591 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:09:20, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 0.6749, loss: 0.6749 +2025-07-01 18:25:29,010 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:08:54, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 0.7545, loss: 0.7545 +2025-07-01 18:25:46,136 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:08:26, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 0.6906, loss: 0.6906 +2025-07-01 18:26:03,268 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:07:59, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 0.6896, loss: 0.6896 +2025-07-01 18:26:20,312 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:07:30, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 0.7082, loss: 0.7082 +2025-07-01 18:26:37,541 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:07:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9875, loss_cls: 0.6296, loss: 0.6296 +2025-07-01 18:26:55,393 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-01 18:27:33,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:27:33,553 - pyskl - INFO - +top1_acc 0.8993 +top5_acc 0.9907 +2025-07-01 18:27:33,557 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_10.pth was removed +2025-07-01 18:27:33,724 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-01 18:27:33,725 - pyskl - INFO - Best top1_acc is 0.8993 at 15 epoch. +2025-07-01 18:27:33,726 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8993, top5_acc: 0.9907 +2025-07-01 18:28:16,067 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:07:25, time: 0.423, data_time: 0.250, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9838, loss_cls: 0.7153, loss: 0.7153 +2025-07-01 18:28:33,171 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:06:57, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 0.7472, loss: 0.7472 +2025-07-01 18:28:50,177 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:06:28, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9794, loss_cls: 0.6745, loss: 0.6745 +2025-07-01 18:29:07,338 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:06:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9869, loss_cls: 0.6734, loss: 0.6734 +2025-07-01 18:29:24,300 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:05:32, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 0.6483, loss: 0.6483 +2025-07-01 18:29:41,741 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:05:08, time: 0.174, data_time: 0.001, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9756, loss_cls: 0.7347, loss: 0.7347 +2025-07-01 18:29:58,744 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:04:40, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9888, loss_cls: 0.6940, loss: 0.6940 +2025-07-01 18:30:16,165 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:04:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 0.6717, loss: 0.6717 +2025-07-01 18:30:33,479 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-01 18:31:10,994 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:31:11,018 - pyskl - INFO - +top1_acc 0.8929 +top5_acc 0.9921 +2025-07-01 18:31:11,019 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8929, top5_acc: 0.9921 +2025-07-01 18:31:53,041 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:04:30, time: 0.420, data_time: 0.249, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9756, loss_cls: 0.7691, loss: 0.7691 +2025-07-01 18:32:10,138 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:04:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6472, loss: 0.6472 +2025-07-01 18:32:27,217 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:03:36, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 0.6777, loss: 0.6777 +2025-07-01 18:32:44,289 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:03:09, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9850, loss_cls: 0.7061, loss: 0.7061 +2025-07-01 18:33:01,299 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:02:41, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 0.7289, loss: 0.7289 +2025-07-01 18:33:18,178 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:02:13, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9756, loss_cls: 0.6596, loss: 0.6596 +2025-07-01 18:33:35,427 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:01:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9806, loss_cls: 0.6457, loss: 0.6457 +2025-07-01 18:33:52,647 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:01:22, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 0.6653, loss: 0.6653 +2025-07-01 18:34:09,986 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-01 18:34:46,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:34:46,909 - pyskl - INFO - +top1_acc 0.8915 +top5_acc 0.9903 +2025-07-01 18:34:46,911 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8915, top5_acc: 0.9903 +2025-07-01 18:35:28,470 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:01:30, time: 0.416, data_time: 0.240, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9794, loss_cls: 0.7259, loss: 0.7259 +2025-07-01 18:35:45,954 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:01:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9844, loss_cls: 0.6850, loss: 0.6850 +2025-07-01 18:36:03,214 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:00:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9800, loss_cls: 0.6757, loss: 0.6757 +2025-07-01 18:36:20,286 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:00:15, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9788, loss_cls: 0.6716, loss: 0.6716 +2025-07-01 18:36:37,641 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 5:59:50, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 0.7107, loss: 0.7107 +2025-07-01 18:36:54,732 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 5:59:24, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9794, loss_cls: 0.6572, loss: 0.6572 +2025-07-01 18:37:11,959 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 5:58:59, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9812, loss_cls: 0.7293, loss: 0.7293 +2025-07-01 18:37:29,087 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 5:58:34, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9831, loss_cls: 0.5955, loss: 0.5955 +2025-07-01 18:37:46,538 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-01 18:38:23,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:38:23,965 - pyskl - INFO - +top1_acc 0.8997 +top5_acc 0.9923 +2025-07-01 18:38:23,969 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_15.pth was removed +2025-07-01 18:38:24,138 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-01 18:38:24,138 - pyskl - INFO - Best top1_acc is 0.8997 at 18 epoch. +2025-07-01 18:38:24,140 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8997, top5_acc: 0.9923 +2025-07-01 18:39:06,711 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 5:58:46, time: 0.426, data_time: 0.248, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9850, loss_cls: 0.6061, loss: 0.6061 +2025-07-01 18:39:23,917 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 5:58:21, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 0.6500, loss: 0.6500 +2025-07-01 18:39:41,030 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 5:57:55, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9806, loss_cls: 0.6288, loss: 0.6288 +2025-07-01 18:39:58,415 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 5:57:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9862, loss_cls: 0.6430, loss: 0.6430 +2025-07-01 18:40:15,832 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 5:57:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 0.7355, loss: 0.7355 +2025-07-01 18:40:32,979 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 5:56:43, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9869, loss_cls: 0.6829, loss: 0.6829 +2025-07-01 18:40:50,029 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:56:17, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.6195, loss: 0.6195 +2025-07-01 18:41:07,245 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:55:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 0.6525, loss: 0.6525 +2025-07-01 18:41:24,522 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-01 18:42:02,345 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:42:02,368 - pyskl - INFO - +top1_acc 0.9044 +top5_acc 0.9921 +2025-07-01 18:42:02,372 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_18.pth was removed +2025-07-01 18:42:02,582 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-01 18:42:02,582 - pyskl - INFO - Best top1_acc is 0.9044 at 19 epoch. +2025-07-01 18:42:02,584 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.9044, top5_acc: 0.9921 +2025-07-01 18:42:44,803 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:56:00, time: 0.422, data_time: 0.248, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.5824, loss: 0.5824 +2025-07-01 18:43:02,110 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:55:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9800, loss_cls: 0.6557, loss: 0.6557 +2025-07-01 18:43:19,170 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:55:10, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 0.6669, loss: 0.6669 +2025-07-01 18:43:36,152 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:54:44, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 0.6710, loss: 0.6710 +2025-07-01 18:43:53,480 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:54:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9806, loss_cls: 0.7009, loss: 0.7009 +2025-07-01 18:44:10,554 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:53:55, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 0.7607, loss: 0.7607 +2025-07-01 18:44:27,275 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:53:27, time: 0.167, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9838, loss_cls: 0.6718, loss: 0.6718 +2025-07-01 18:44:44,513 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:53:03, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9838, loss_cls: 0.6152, loss: 0.6152 +2025-07-01 18:45:01,939 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-01 18:45:39,094 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:45:39,119 - pyskl - INFO - +top1_acc 0.8806 +top5_acc 0.9898 +2025-07-01 18:45:39,120 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.8806, top5_acc: 0.9898 +2025-07-01 18:46:21,005 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:53:06, time: 0.419, data_time: 0.241, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 0.6627, loss: 0.6627 +2025-07-01 18:46:38,554 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:52:44, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 0.6415, loss: 0.6415 +2025-07-01 18:46:55,757 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:52:20, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.5995, loss: 0.5995 +2025-07-01 18:47:12,924 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:51:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6568, loss: 0.6568 +2025-07-01 18:47:30,097 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:51:31, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 0.6329, loss: 0.6329 +2025-07-01 18:47:47,720 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:51:10, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 0.6512, loss: 0.6512 +2025-07-01 18:48:04,969 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:50:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9788, loss_cls: 0.6370, loss: 0.6370 +2025-07-01 18:48:22,418 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:50:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 0.6212, loss: 0.6212 +2025-07-01 18:48:40,014 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-01 18:49:16,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:49:16,828 - pyskl - INFO - +top1_acc 0.8753 +top5_acc 0.9883 +2025-07-01 18:49:16,829 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8753, top5_acc: 0.9883 +2025-07-01 18:49:58,466 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:50:23, time: 0.416, data_time: 0.245, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 0.6371, loss: 0.6371 +2025-07-01 18:50:15,671 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:49:59, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 0.5677, loss: 0.5677 +2025-07-01 18:50:32,788 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:49:34, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 0.6586, loss: 0.6586 +2025-07-01 18:50:49,834 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:49:09, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 0.6774, loss: 0.6774 +2025-07-01 18:51:07,103 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:48:46, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 0.6495, loss: 0.6495 +2025-07-01 18:51:24,386 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:48:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9794, loss_cls: 0.6217, loss: 0.6217 +2025-07-01 18:51:41,684 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:48:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 0.6096, loss: 0.6096 +2025-07-01 18:51:58,905 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:47:36, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 0.5735, loss: 0.5735 +2025-07-01 18:52:16,218 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-01 18:52:53,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:52:53,673 - pyskl - INFO - +top1_acc 0.9047 +top5_acc 0.9923 +2025-07-01 18:52:53,676 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_19.pth was removed +2025-07-01 18:52:53,843 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-07-01 18:52:53,843 - pyskl - INFO - Best top1_acc is 0.9047 at 22 epoch. +2025-07-01 18:52:53,845 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.9047, top5_acc: 0.9923 +2025-07-01 18:53:35,704 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:47:35, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6237, loss: 0.6237 +2025-07-01 18:53:52,855 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:47:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5698, loss: 0.5698 +2025-07-01 18:54:09,921 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:46:46, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5476, loss: 0.5476 +2025-07-01 18:54:26,873 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:46:21, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6419, loss: 0.6419 +2025-07-01 18:54:44,106 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:45:58, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9819, loss_cls: 0.6079, loss: 0.6079 +2025-07-01 18:55:01,766 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:45:37, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9769, loss_cls: 0.7289, loss: 0.7289 +2025-07-01 18:55:18,896 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:45:14, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 0.6747, loss: 0.6747 +2025-07-01 18:55:36,170 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:44:51, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.5992, loss: 0.5992 +2025-07-01 18:55:53,534 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-01 18:56:30,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:56:30,976 - pyskl - INFO - +top1_acc 0.9090 +top5_acc 0.9935 +2025-07-01 18:56:30,981 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_22.pth was removed +2025-07-01 18:56:31,171 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-01 18:56:31,171 - pyskl - INFO - Best top1_acc is 0.9090 at 23 epoch. +2025-07-01 18:56:31,173 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.9090, top5_acc: 0.9935 +2025-07-01 18:57:12,735 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:44:46, time: 0.416, data_time: 0.243, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.6479, loss: 0.6479 +2025-07-01 18:57:30,143 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:44:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 0.6309, loss: 0.6309 +2025-07-01 18:57:47,370 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:44:00, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.6144, loss: 0.6144 +2025-07-01 18:58:04,514 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:43:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 0.6465, loss: 0.6465 +2025-07-01 18:58:21,797 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:43:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9869, loss_cls: 0.5763, loss: 0.5763 +2025-07-01 18:58:39,005 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:42:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 0.5849, loss: 0.5849 +2025-07-01 18:58:56,191 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:42:28, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9844, loss_cls: 0.6959, loss: 0.6959 +2025-07-01 18:59:13,748 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:42:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 0.5987, loss: 0.5987 +2025-07-01 18:59:31,347 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-01 19:00:08,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:00:08,219 - pyskl - INFO - +top1_acc 0.9084 +top5_acc 0.9919 +2025-07-01 19:00:08,220 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9084, top5_acc: 0.9919 +2025-07-01 19:00:50,238 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:42:03, time: 0.420, data_time: 0.248, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.5611, loss: 0.5611 +2025-07-01 19:01:08,087 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:41:43, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9888, loss_cls: 0.6508, loss: 0.6508 +2025-07-01 19:01:25,828 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:41:23, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9881, loss_cls: 0.5966, loss: 0.5966 +2025-07-01 19:01:43,129 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:41:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9806, loss_cls: 0.6457, loss: 0.6457 +2025-07-01 19:02:00,509 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:40:38, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.5990, loss: 0.5990 +2025-07-01 19:02:18,440 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:40:19, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 0.6397, loss: 0.6397 +2025-07-01 19:02:35,963 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:39:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 0.6178, loss: 0.6178 +2025-07-01 19:02:53,975 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:39:39, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.6163, loss: 0.6163 +2025-07-01 19:03:11,456 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-01 19:03:49,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:03:49,454 - pyskl - INFO - +top1_acc 0.9208 +top5_acc 0.9930 +2025-07-01 19:03:49,459 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_23.pth was removed +2025-07-01 19:03:49,669 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-01 19:03:49,669 - pyskl - INFO - Best top1_acc is 0.9208 at 25 epoch. +2025-07-01 19:03:49,672 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.9208, top5_acc: 0.9930 +2025-07-01 19:04:32,623 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:39:38, time: 0.429, data_time: 0.252, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 0.6247, loss: 0.6247 +2025-07-01 19:04:50,065 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:39:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5854, loss: 0.5854 +2025-07-01 19:05:07,549 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:38:55, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9781, loss_cls: 0.6597, loss: 0.6597 +2025-07-01 19:05:24,433 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:38:30, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9869, loss_cls: 0.6926, loss: 0.6926 +2025-07-01 19:05:41,690 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:38:08, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 0.6605, loss: 0.6605 +2025-07-01 19:05:58,958 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:37:45, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.5639, loss: 0.5639 +2025-07-01 19:06:16,042 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:37:22, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.5991, loss: 0.5991 +2025-07-01 19:06:33,349 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:37:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 0.5679, loss: 0.5679 +2025-07-01 19:06:50,744 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-01 19:07:29,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:07:29,615 - pyskl - INFO - +top1_acc 0.9025 +top5_acc 0.9918 +2025-07-01 19:07:29,616 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.9025, top5_acc: 0.9918 +2025-07-01 19:08:10,936 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:36:49, time: 0.413, data_time: 0.241, memory: 2902, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6122, loss: 0.6122 +2025-07-01 19:08:28,071 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:36:26, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 0.5820, loss: 0.5820 +2025-07-01 19:08:45,452 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:36:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5603, loss: 0.5603 +2025-07-01 19:09:02,204 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:35:40, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6150, loss: 0.6150 +2025-07-01 19:09:19,535 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:35:18, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 0.5816, loss: 0.5816 +2025-07-01 19:09:36,977 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:34:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.5747, loss: 0.5747 +2025-07-01 19:09:54,075 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:34:33, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9825, loss_cls: 0.6183, loss: 0.6183 +2025-07-01 19:10:11,725 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:34:13, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.5724, loss: 0.5724 +2025-07-01 19:10:29,102 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-01 19:11:05,830 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:11:05,861 - pyskl - INFO - +top1_acc 0.9114 +top5_acc 0.9921 +2025-07-01 19:11:05,862 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.9114, top5_acc: 0.9921 +2025-07-01 19:11:47,905 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:34:05, time: 0.420, data_time: 0.247, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.5821, loss: 0.5821 +2025-07-01 19:12:05,698 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:33:45, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5274, loss: 0.5274 +2025-07-01 19:12:22,968 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:33:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 0.5688, loss: 0.5688 +2025-07-01 19:12:40,067 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:33:00, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 0.5009, loss: 0.5009 +2025-07-01 19:12:57,155 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:32:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9825, loss_cls: 0.5786, loss: 0.5786 +2025-07-01 19:13:14,320 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:32:14, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9831, loss_cls: 0.5496, loss: 0.5496 +2025-07-01 19:13:31,295 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:31:51, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 0.6022, loss: 0.6022 +2025-07-01 19:13:48,447 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:31:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9888, loss_cls: 0.5813, loss: 0.5813 +2025-07-01 19:14:05,867 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-01 19:14:44,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:14:44,245 - pyskl - INFO - +top1_acc 0.9250 +top5_acc 0.9944 +2025-07-01 19:14:44,250 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_25.pth was removed +2025-07-01 19:14:44,585 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_28.pth. +2025-07-01 19:14:44,585 - pyskl - INFO - Best top1_acc is 0.9250 at 28 epoch. +2025-07-01 19:14:44,587 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.9250, top5_acc: 0.9944 +2025-07-01 19:15:27,604 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:31:23, time: 0.430, data_time: 0.257, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 0.5417, loss: 0.5417 +2025-07-01 19:15:44,862 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:31:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5157, loss: 0.5157 +2025-07-01 19:16:02,378 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:30:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.6141, loss: 0.6141 +2025-07-01 19:16:19,409 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:30:17, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 0.5873, loss: 0.5873 +2025-07-01 19:16:36,622 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:29:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 0.5655, loss: 0.5655 +2025-07-01 19:16:53,909 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:29:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.5481, loss: 0.5481 +2025-07-01 19:17:10,937 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:29:11, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9812, loss_cls: 0.6013, loss: 0.6013 +2025-07-01 19:17:28,261 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:28:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.5959, loss: 0.5959 +2025-07-01 19:17:45,703 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-01 19:18:23,293 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:18:23,316 - pyskl - INFO - +top1_acc 0.8899 +top5_acc 0.9921 +2025-07-01 19:18:23,317 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.8899, top5_acc: 0.9921 +2025-07-01 19:19:06,711 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:28:44, time: 0.434, data_time: 0.254, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 0.5819, loss: 0.5819 +2025-07-01 19:19:24,726 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:28:25, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.5797, loss: 0.5797 +2025-07-01 19:19:42,868 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:28:07, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9900, loss_cls: 0.6041, loss: 0.6041 +2025-07-01 19:20:00,570 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:27:47, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.5788, loss: 0.5788 +2025-07-01 19:20:18,601 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:27:28, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5402, loss: 0.5402 +2025-07-01 19:20:36,514 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:27:09, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 0.5257, loss: 0.5257 +2025-07-01 19:20:54,081 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:26:48, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9906, loss_cls: 0.5532, loss: 0.5532 +2025-07-01 19:21:11,915 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:26:29, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9894, loss_cls: 0.6173, loss: 0.6173 +2025-07-01 19:21:29,946 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-01 19:22:06,815 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:22:06,839 - pyskl - INFO - +top1_acc 0.9048 +top5_acc 0.9898 +2025-07-01 19:22:06,840 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.9048, top5_acc: 0.9898 +2025-07-01 19:22:49,529 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:26:20, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 0.6630, loss: 0.6630 +2025-07-01 19:23:07,386 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:26:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5590, loss: 0.5590 +2025-07-01 19:23:25,192 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:25:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6596, loss: 0.6596 +2025-07-01 19:23:42,614 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:25:19, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5862, loss: 0.5862 +2025-07-01 19:24:00,144 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:24:59, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6405, loss: 0.6405 +2025-07-01 19:24:17,980 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:24:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 0.6190, loss: 0.6190 +2025-07-01 19:24:35,847 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:24:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 0.6321, loss: 0.6321 +2025-07-01 19:24:54,116 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:24:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.6250, loss: 0.6250 +2025-07-01 19:25:12,180 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-01 19:25:49,057 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:25:49,079 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9919 +2025-07-01 19:25:49,080 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8961, top5_acc: 0.9919 +2025-07-01 19:26:31,130 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:23:49, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5954, loss: 0.5954 +2025-07-01 19:26:49,082 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:23:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 0.5913, loss: 0.5913 +2025-07-01 19:27:07,108 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:23:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5386, loss: 0.5386 +2025-07-01 19:27:24,479 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:22:50, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9862, loss_cls: 0.6482, loss: 0.6482 +2025-07-01 19:27:42,409 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:22:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 0.5342, loss: 0.5342 +2025-07-01 19:28:00,172 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:22:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5601, loss: 0.5601 +2025-07-01 19:28:18,052 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:21:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 0.6132, loss: 0.6132 +2025-07-01 19:28:35,851 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:21:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.6127, loss: 0.6127 +2025-07-01 19:28:53,928 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-01 19:29:31,182 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:29:31,212 - pyskl - INFO - +top1_acc 0.9119 +top5_acc 0.9930 +2025-07-01 19:29:31,213 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.9119, top5_acc: 0.9930 +2025-07-01 19:30:13,524 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:21:19, time: 0.423, data_time: 0.243, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.5850, loss: 0.5850 +2025-07-01 19:30:31,397 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:20:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 0.6580, loss: 0.6580 +2025-07-01 19:30:49,136 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:20:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5503, loss: 0.5503 +2025-07-01 19:31:06,729 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:20:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.6185, loss: 0.6185 +2025-07-01 19:31:24,280 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:19:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.5884, loss: 0.5884 +2025-07-01 19:31:42,507 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:19:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 0.5740, loss: 0.5740 +2025-07-01 19:32:00,269 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:19:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9819, loss_cls: 0.6352, loss: 0.6352 +2025-07-01 19:32:18,012 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:19:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9812, loss_cls: 0.6189, loss: 0.6189 +2025-07-01 19:32:35,882 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-01 19:33:13,009 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:33:13,031 - pyskl - INFO - +top1_acc 0.8898 +top5_acc 0.9904 +2025-07-01 19:33:13,032 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.8898, top5_acc: 0.9904 +2025-07-01 19:33:55,087 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:18:46, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5403, loss: 0.5403 +2025-07-01 19:34:13,422 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:18:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5563, loss: 0.5563 +2025-07-01 19:34:31,427 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:18:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5723, loss: 0.5723 +2025-07-01 19:34:48,966 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:17:48, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5555, loss: 0.5555 +2025-07-01 19:35:06,749 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:17:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 0.6384, loss: 0.6384 +2025-07-01 19:35:24,560 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:17:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5431, loss: 0.5431 +2025-07-01 19:35:42,287 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:16:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 0.5803, loss: 0.5803 +2025-07-01 19:36:00,153 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:16:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5905, loss: 0.5905 +2025-07-01 19:36:18,064 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-01 19:36:54,849 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:36:54,871 - pyskl - INFO - +top1_acc 0.9165 +top5_acc 0.9947 +2025-07-01 19:36:54,872 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9165, top5_acc: 0.9947 +2025-07-01 19:37:37,347 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:16:15, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5143, loss: 0.5143 +2025-07-01 19:37:55,540 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:15:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5430, loss: 0.5430 +2025-07-01 19:38:13,256 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:15:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9919, loss_cls: 0.5374, loss: 0.5374 +2025-07-01 19:38:30,951 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:15:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 0.5274, loss: 0.5274 +2025-07-01 19:38:48,522 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:14:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.6317, loss: 0.6317 +2025-07-01 19:39:06,607 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:14:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9825, loss_cls: 0.6093, loss: 0.6093 +2025-07-01 19:39:24,425 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:14:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.6006, loss: 0.6006 +2025-07-01 19:39:42,625 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:14:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9831, loss_cls: 0.5946, loss: 0.5946 +2025-07-01 19:40:00,721 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-01 19:40:37,441 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:40:37,464 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9951 +2025-07-01 19:40:37,468 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_28.pth was removed +2025-07-01 19:40:37,633 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_35.pth. +2025-07-01 19:40:37,633 - pyskl - INFO - Best top1_acc is 0.9253 at 35 epoch. +2025-07-01 19:40:37,635 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9253, top5_acc: 0.9951 +2025-07-01 19:41:19,646 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:13:43, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.5639, loss: 0.5639 +2025-07-01 19:41:37,704 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:13:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.5081, loss: 0.5081 +2025-07-01 19:41:55,770 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:13:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.5034, loss: 0.5034 +2025-07-01 19:42:13,973 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:12:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9919, loss_cls: 0.6094, loss: 0.6094 +2025-07-01 19:42:31,836 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:12:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 0.5672, loss: 0.5672 +2025-07-01 19:42:49,855 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:12:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5493, loss: 0.5493 +2025-07-01 19:43:07,745 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:11:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.6000, loss: 0.6000 +2025-07-01 19:43:25,619 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:11:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 0.5938, loss: 0.5938 +2025-07-01 19:43:43,829 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-01 19:44:20,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:44:20,590 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9921 +2025-07-01 19:44:20,591 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9016, top5_acc: 0.9921 +2025-07-01 19:45:02,757 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:11:13, time: 0.422, data_time: 0.244, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.6170, loss: 0.6170 +2025-07-01 19:45:20,356 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:10:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5124, loss: 0.5124 +2025-07-01 19:45:38,311 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:10:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5474, loss: 0.5474 +2025-07-01 19:45:55,827 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:10:13, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9838, loss_cls: 0.6052, loss: 0.6052 +2025-07-01 19:46:13,250 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:09:52, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5650, loss: 0.5650 +2025-07-01 19:46:30,820 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:09:32, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5696, loss: 0.5696 +2025-07-01 19:46:48,448 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:09:11, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5043, loss: 0.5043 +2025-07-01 19:47:06,208 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:08:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5499, loss: 0.5499 +2025-07-01 19:47:24,280 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-01 19:48:02,035 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:48:02,063 - pyskl - INFO - +top1_acc 0.9139 +top5_acc 0.9947 +2025-07-01 19:48:02,065 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9139, top5_acc: 0.9947 +2025-07-01 19:48:43,351 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:08:31, time: 0.413, data_time: 0.236, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 0.5795, loss: 0.5795 +2025-07-01 19:49:00,824 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:08:11, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.4945, loss: 0.4945 +2025-07-01 19:49:18,758 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:07:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5384, loss: 0.5384 +2025-07-01 19:49:36,609 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:07:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5385, loss: 0.5385 +2025-07-01 19:49:53,997 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:07:11, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5386, loss: 0.5386 +2025-07-01 19:50:12,033 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:06:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5792, loss: 0.5792 +2025-07-01 19:50:30,276 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:06:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5331, loss: 0.5331 +2025-07-01 19:50:47,993 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:06:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5310, loss: 0.5310 +2025-07-01 19:51:06,124 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-01 19:51:43,481 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:51:43,505 - pyskl - INFO - +top1_acc 0.9182 +top5_acc 0.9922 +2025-07-01 19:51:43,506 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9182, top5_acc: 0.9922 +2025-07-01 19:52:25,122 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:05:54, time: 0.416, data_time: 0.237, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5643, loss: 0.5643 +2025-07-01 19:52:43,037 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:05:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9931, loss_cls: 0.5227, loss: 0.5227 +2025-07-01 19:53:01,053 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:05:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.5225, loss: 0.5225 +2025-07-01 19:53:19,143 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:04:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 0.5365, loss: 0.5365 +2025-07-01 19:53:36,810 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:04:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 0.5444, loss: 0.5444 +2025-07-01 19:53:54,581 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:04:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5271, loss: 0.5271 +2025-07-01 19:54:12,248 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:03:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9862, loss_cls: 0.5050, loss: 0.5050 +2025-07-01 19:54:29,764 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:03:37, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 0.4852, loss: 0.4852 +2025-07-01 19:54:47,788 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-01 19:55:24,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:55:24,439 - pyskl - INFO - +top1_acc 0.9119 +top5_acc 0.9951 +2025-07-01 19:55:24,440 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9119, top5_acc: 0.9951 +2025-07-01 19:56:06,969 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:03:19, time: 0.425, data_time: 0.245, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9881, loss_cls: 0.5146, loss: 0.5146 +2025-07-01 19:56:24,543 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:02:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4775, loss: 0.4775 +2025-07-01 19:56:42,298 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:02:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.5563, loss: 0.5563 +2025-07-01 19:57:00,295 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:02:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5446, loss: 0.5446 +2025-07-01 19:57:17,832 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:01:59, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9850, loss_cls: 0.5266, loss: 0.5266 +2025-07-01 19:57:36,019 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:01:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.5061, loss: 0.5061 +2025-07-01 19:57:54,015 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:01:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 0.5417, loss: 0.5417 +2025-07-01 19:58:11,703 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:01:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.5888, loss: 0.5888 +2025-07-01 19:58:29,773 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-01 19:59:07,378 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:59:07,401 - pyskl - INFO - +top1_acc 0.9395 +top5_acc 0.9947 +2025-07-01 19:59:07,405 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_35.pth was removed +2025-07-01 19:59:07,646 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. +2025-07-01 19:59:07,647 - pyskl - INFO - Best top1_acc is 0.9395 at 40 epoch. +2025-07-01 19:59:07,649 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9395, top5_acc: 0.9947 +2025-07-01 19:59:50,185 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:00:43, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9875, loss_cls: 0.5185, loss: 0.5185 +2025-07-01 20:00:07,600 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:00:23, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5437, loss: 0.5437 +2025-07-01 20:00:25,265 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:00:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5309, loss: 0.5309 +2025-07-01 20:00:42,980 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 4:59:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5506, loss: 0.5506 +2025-07-01 20:01:00,665 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 4:59:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.5034, loss: 0.5034 +2025-07-01 20:01:18,294 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 4:59:03, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9962, loss_cls: 0.4856, loss: 0.4856 +2025-07-01 20:01:35,981 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 4:58:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9825, loss_cls: 0.5981, loss: 0.5981 +2025-07-01 20:01:53,820 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 4:58:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5423, loss: 0.5423 +2025-07-01 20:02:11,992 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-01 20:02:49,364 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:02:49,395 - pyskl - INFO - +top1_acc 0.9055 +top5_acc 0.9921 +2025-07-01 20:02:49,398 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9055, top5_acc: 0.9921 +2025-07-01 20:03:32,393 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 4:58:05, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5400, loss: 0.5400 +2025-07-01 20:03:49,848 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 4:57:45, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9875, loss_cls: 0.5091, loss: 0.5091 +2025-07-01 20:04:07,598 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 4:57:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4900, loss: 0.4900 +2025-07-01 20:04:25,311 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:57:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5789, loss: 0.5789 +2025-07-01 20:04:42,994 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:56:46, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5076, loss: 0.5076 +2025-07-01 20:05:00,735 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:56:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 0.5250, loss: 0.5250 +2025-07-01 20:05:18,344 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:56:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5121, loss: 0.5121 +2025-07-01 20:05:35,972 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:55:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.5186, loss: 0.5186 +2025-07-01 20:05:54,062 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-01 20:06:30,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:06:30,770 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9942 +2025-07-01 20:06:30,772 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9201, top5_acc: 0.9942 +2025-07-01 20:07:13,517 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:55:26, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 0.5325, loss: 0.5325 +2025-07-01 20:07:30,919 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:55:06, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4700, loss: 0.4700 +2025-07-01 20:07:48,299 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:54:45, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 0.5174, loss: 0.5174 +2025-07-01 20:08:05,878 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:54:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5545, loss: 0.5545 +2025-07-01 20:08:23,548 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:54:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5169, loss: 0.5169 +2025-07-01 20:08:41,207 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:53:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 0.4738, loss: 0.4738 +2025-07-01 20:08:58,812 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:53:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5262, loss: 0.5262 +2025-07-01 20:09:16,838 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:53:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5214, loss: 0.5214 +2025-07-01 20:09:35,148 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-01 20:10:12,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:10:12,984 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9950 +2025-07-01 20:10:12,985 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9288, top5_acc: 0.9950 +2025-07-01 20:10:54,795 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:52:44, time: 0.418, data_time: 0.240, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5198, loss: 0.5198 +2025-07-01 20:11:12,372 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:52:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4946, loss: 0.4946 +2025-07-01 20:11:29,735 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:52:03, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4555, loss: 0.4555 +2025-07-01 20:11:47,633 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:51:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9894, loss_cls: 0.4421, loss: 0.4421 +2025-07-01 20:12:05,230 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:51:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 0.4680, loss: 0.4680 +2025-07-01 20:12:22,667 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:51:04, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4963, loss: 0.4963 +2025-07-01 20:12:40,241 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:50:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5213, loss: 0.5213 +2025-07-01 20:12:58,298 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:50:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 0.5246, loss: 0.5246 +2025-07-01 20:13:16,351 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-01 20:13:53,658 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:13:53,682 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9955 +2025-07-01 20:13:53,683 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9314, top5_acc: 0.9955 +2025-07-01 20:14:36,091 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:50:04, time: 0.424, data_time: 0.246, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4699, loss: 0.4699 +2025-07-01 20:14:53,515 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:49:43, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5168, loss: 0.5168 +2025-07-01 20:15:10,988 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:49:23, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5025, loss: 0.5025 +2025-07-01 20:15:28,816 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:49:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4886, loss: 0.4886 +2025-07-01 20:15:46,615 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:48:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5580, loss: 0.5580 +2025-07-01 20:16:04,237 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:48:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.5006, loss: 0.5006 +2025-07-01 20:16:21,976 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:48:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 0.5500, loss: 0.5500 +2025-07-01 20:16:39,809 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:47:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 0.5021, loss: 0.5021 +2025-07-01 20:16:57,881 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-01 20:17:35,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:17:35,134 - pyskl - INFO - +top1_acc 0.9154 +top5_acc 0.9939 +2025-07-01 20:17:35,135 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9154, top5_acc: 0.9939 +2025-07-01 20:18:17,043 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:47:22, time: 0.419, data_time: 0.240, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.4738, loss: 0.4738 +2025-07-01 20:18:34,956 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:47:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 0.4698, loss: 0.4698 +2025-07-01 20:18:52,645 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:46:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.5078, loss: 0.5078 +2025-07-01 20:19:10,559 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:46:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9862, loss_cls: 0.5315, loss: 0.5315 +2025-07-01 20:19:28,252 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:46:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4255, loss: 0.4255 +2025-07-01 20:19:46,092 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:45:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9888, loss_cls: 0.4809, loss: 0.4809 +2025-07-01 20:20:03,980 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:45:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5193, loss: 0.5193 +2025-07-01 20:20:22,020 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:45:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4778, loss: 0.4778 +2025-07-01 20:20:40,065 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-01 20:21:17,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:21:17,427 - pyskl - INFO - +top1_acc 0.9300 +top5_acc 0.9949 +2025-07-01 20:21:17,428 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9300, top5_acc: 0.9949 +2025-07-01 20:22:00,293 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:44:45, time: 0.429, data_time: 0.249, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5249, loss: 0.5249 +2025-07-01 20:22:18,147 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:44:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 0.5157, loss: 0.5157 +2025-07-01 20:22:35,728 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:44:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4312, loss: 0.4312 +2025-07-01 20:22:53,415 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:43:46, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5239, loss: 0.5239 +2025-07-01 20:23:11,154 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:43:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9875, loss_cls: 0.4196, loss: 0.4196 +2025-07-01 20:23:28,626 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:43:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4922, loss: 0.4922 +2025-07-01 20:23:46,514 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:42:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4947, loss: 0.4947 +2025-07-01 20:24:03,988 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:42:27, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.4904, loss: 0.4904 +2025-07-01 20:24:22,152 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-01 20:24:59,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:24:59,485 - pyskl - INFO - +top1_acc 0.9263 +top5_acc 0.9955 +2025-07-01 20:24:59,486 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9263, top5_acc: 0.9955 +2025-07-01 20:25:41,963 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:42:05, time: 0.425, data_time: 0.248, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.5320, loss: 0.5320 +2025-07-01 20:25:59,747 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:41:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.3952, loss: 0.3952 +2025-07-01 20:26:17,299 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:41:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4810, loss: 0.4810 +2025-07-01 20:26:34,869 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:41:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.5173, loss: 0.5173 +2025-07-01 20:26:52,650 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:40:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5341, loss: 0.5341 +2025-07-01 20:27:10,179 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:40:26, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4194, loss: 0.4194 +2025-07-01 20:27:28,049 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:40:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 0.4728, loss: 0.4728 +2025-07-01 20:27:45,722 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:39:47, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.4677, loss: 0.4677 +2025-07-01 20:28:04,005 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-01 20:28:41,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:28:41,617 - pyskl - INFO - +top1_acc 0.9066 +top5_acc 0.9937 +2025-07-01 20:28:41,618 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9066, top5_acc: 0.9937 +2025-07-01 20:29:24,594 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:39:25, time: 0.430, data_time: 0.251, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5121, loss: 0.5121 +2025-07-01 20:29:42,148 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:39:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.5179, loss: 0.5179 +2025-07-01 20:29:59,891 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:38:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9881, loss_cls: 0.4399, loss: 0.4399 +2025-07-01 20:30:17,668 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:38:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4888, loss: 0.4888 +2025-07-01 20:30:35,296 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:38:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4640, loss: 0.4640 +2025-07-01 20:30:53,075 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:37:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4916, loss: 0.4916 +2025-07-01 20:31:11,069 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:37:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4177, loss: 0.4177 +2025-07-01 20:31:29,115 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:37:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 0.4644, loss: 0.4644 +2025-07-01 20:31:47,168 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-01 20:32:25,021 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:32:25,044 - pyskl - INFO - +top1_acc 0.9339 +top5_acc 0.9928 +2025-07-01 20:32:25,046 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9339, top5_acc: 0.9928 +2025-07-01 20:33:08,795 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:36:48, time: 0.437, data_time: 0.254, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4706, loss: 0.4706 +2025-07-01 20:33:26,645 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:36:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.4900, loss: 0.4900 +2025-07-01 20:33:44,031 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:36:08, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4753, loss: 0.4753 +2025-07-01 20:34:01,281 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:35:48, time: 0.172, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5145, loss: 0.5145 +2025-07-01 20:34:18,920 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:35:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.4787, loss: 0.4787 +2025-07-01 20:34:36,724 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:35:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4279, loss: 0.4279 +2025-07-01 20:34:54,269 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:34:49, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4532, loss: 0.4532 +2025-07-01 20:35:11,928 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:34:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4380, loss: 0.4380 +2025-07-01 20:35:29,875 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-01 20:36:07,352 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:36:07,380 - pyskl - INFO - +top1_acc 0.9384 +top5_acc 0.9940 +2025-07-01 20:36:07,381 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9384, top5_acc: 0.9940 +2025-07-01 20:36:50,016 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:34:06, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4297, loss: 0.4297 +2025-07-01 20:37:07,527 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:33:46, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9875, loss_cls: 0.4199, loss: 0.4199 +2025-07-01 20:37:25,137 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:33:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4783, loss: 0.4783 +2025-07-01 20:37:42,721 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:33:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4671, loss: 0.4671 +2025-07-01 20:37:59,911 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:32:46, time: 0.172, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4487, loss: 0.4487 +2025-07-01 20:38:17,491 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:32:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4787, loss: 0.4787 +2025-07-01 20:38:35,082 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:32:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4582, loss: 0.4582 +2025-07-01 20:38:53,099 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:31:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9944, loss_cls: 0.4975, loss: 0.4975 +2025-07-01 20:39:11,147 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-01 20:39:48,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:39:48,716 - pyskl - INFO - +top1_acc 0.9282 +top5_acc 0.9940 +2025-07-01 20:39:48,717 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9282, top5_acc: 0.9940 +2025-07-01 20:40:31,172 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:31:23, time: 0.424, data_time: 0.244, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9938, loss_cls: 0.5092, loss: 0.5092 +2025-07-01 20:40:48,902 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:31:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4089, loss: 0.4089 +2025-07-01 20:41:06,778 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:30:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.4806, loss: 0.4806 +2025-07-01 20:41:24,463 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:30:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4255, loss: 0.4255 +2025-07-01 20:41:42,136 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:30:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.4878, loss: 0.4878 +2025-07-01 20:41:59,912 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:29:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4547, loss: 0.4547 +2025-07-01 20:42:17,545 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:29:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9862, loss_cls: 0.4760, loss: 0.4760 +2025-07-01 20:42:35,749 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:29:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4470, loss: 0.4470 +2025-07-01 20:42:53,999 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-01 20:43:31,365 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:43:31,388 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9933 +2025-07-01 20:43:31,389 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9286, top5_acc: 0.9933 +2025-07-01 20:44:14,563 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:28:44, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4508, loss: 0.4508 +2025-07-01 20:44:32,071 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:28:24, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.5026, loss: 0.5026 +2025-07-01 20:44:49,559 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:28:04, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4351, loss: 0.4351 +2025-07-01 20:45:07,396 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:27:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4295, loss: 0.4295 +2025-07-01 20:45:24,945 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:27:25, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5283, loss: 0.5283 +2025-07-01 20:45:42,687 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:27:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4438, loss: 0.4438 +2025-07-01 20:46:00,447 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:26:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4874, loss: 0.4874 +2025-07-01 20:46:18,482 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:26:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4739, loss: 0.4739 +2025-07-01 20:46:36,684 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-01 20:47:14,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:47:14,114 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9947 +2025-07-01 20:47:14,115 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9338, top5_acc: 0.9947 +2025-07-01 20:47:56,779 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:26:02, time: 0.427, data_time: 0.247, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4531, loss: 0.4531 +2025-07-01 20:48:14,747 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:25:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4166, loss: 0.4166 +2025-07-01 20:48:32,455 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:25:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4414, loss: 0.4414 +2025-07-01 20:48:49,861 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:25:04, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4258, loss: 0.4258 +2025-07-01 20:49:07,402 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:24:44, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3773, loss: 0.3773 +2025-07-01 20:49:25,157 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:24:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.4244, loss: 0.4244 +2025-07-01 20:49:42,901 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:24:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5055, loss: 0.5055 +2025-07-01 20:50:00,794 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:23:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3814, loss: 0.3814 +2025-07-01 20:50:18,872 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-01 20:50:56,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:50:56,327 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9955 +2025-07-01 20:50:56,329 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9379, top5_acc: 0.9955 +2025-07-01 20:51:39,200 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:23:21, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4150, loss: 0.4150 +2025-07-01 20:51:56,874 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:23:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4262, loss: 0.4262 +2025-07-01 20:52:14,617 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:22:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.3955, loss: 0.3955 +2025-07-01 20:52:32,328 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:22:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9881, loss_cls: 0.4520, loss: 0.4520 +2025-07-01 20:52:50,252 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:22:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9888, loss_cls: 0.4641, loss: 0.4641 +2025-07-01 20:53:08,425 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:21:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4308, loss: 0.4308 +2025-07-01 20:53:25,968 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:21:26, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9869, loss_cls: 0.4647, loss: 0.4647 +2025-07-01 20:53:43,971 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:21:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4865, loss: 0.4865 +2025-07-01 20:54:02,003 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-01 20:54:39,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:54:39,509 - pyskl - INFO - +top1_acc 0.9431 +top5_acc 0.9940 +2025-07-01 20:54:39,513 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_40.pth was removed +2025-07-01 20:54:39,680 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. +2025-07-01 20:54:39,680 - pyskl - INFO - Best top1_acc is 0.9431 at 55 epoch. +2025-07-01 20:54:39,682 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9431, top5_acc: 0.9940 +2025-07-01 20:55:21,936 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:20:41, time: 0.422, data_time: 0.244, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4522, loss: 0.4522 +2025-07-01 20:55:39,589 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:20:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4084, loss: 0.4084 +2025-07-01 20:55:57,354 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:20:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 0.4873, loss: 0.4873 +2025-07-01 20:56:15,524 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:19:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.5073, loss: 0.5073 +2025-07-01 20:56:32,918 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:19:23, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4364, loss: 0.4364 +2025-07-01 20:56:50,612 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:19:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4170, loss: 0.4170 +2025-07-01 20:57:08,282 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:18:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4602, loss: 0.4602 +2025-07-01 20:57:26,405 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:18:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 0.5068, loss: 0.5068 +2025-07-01 20:57:44,553 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-01 20:58:21,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:58:21,737 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9953 +2025-07-01 20:58:21,741 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_55.pth was removed +2025-07-01 20:58:21,911 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-01 20:58:21,911 - pyskl - INFO - Best top1_acc is 0.9449 at 56 epoch. +2025-07-01 20:58:21,913 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9449, top5_acc: 0.9953 +2025-07-01 20:59:04,909 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:18:00, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.4567, loss: 0.4567 +2025-07-01 20:59:22,621 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:17:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.3914, loss: 0.3914 +2025-07-01 20:59:40,394 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:17:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 0.4744, loss: 0.4744 +2025-07-01 20:59:58,284 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:17:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4316, loss: 0.4316 +2025-07-01 21:00:16,013 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:16:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4387, loss: 0.4387 +2025-07-01 21:00:34,051 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:16:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4589, loss: 0.4589 +2025-07-01 21:00:51,834 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:16:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4238, loss: 0.4238 +2025-07-01 21:01:09,635 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:15:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4433, loss: 0.4433 +2025-07-01 21:01:27,460 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-01 21:02:05,248 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:02:05,276 - pyskl - INFO - +top1_acc 0.9480 +top5_acc 0.9955 +2025-07-01 21:02:05,280 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_56.pth was removed +2025-07-01 21:02:05,477 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. +2025-07-01 21:02:05,478 - pyskl - INFO - Best top1_acc is 0.9480 at 57 epoch. +2025-07-01 21:02:05,479 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9480, top5_acc: 0.9955 +2025-07-01 21:02:48,221 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:15:19, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.4142, loss: 0.4142 +2025-07-01 21:03:06,222 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:15:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3973, loss: 0.3973 +2025-07-01 21:03:23,861 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:14:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3699, loss: 0.3699 +2025-07-01 21:03:41,680 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:14:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3710, loss: 0.3710 +2025-07-01 21:03:59,260 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:14:02, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4115, loss: 0.4115 +2025-07-01 21:04:16,933 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:13:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 0.4101, loss: 0.4101 +2025-07-01 21:04:34,444 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:13:23, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5122, loss: 0.5122 +2025-07-01 21:04:52,224 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:13:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4353, loss: 0.4353 +2025-07-01 21:05:10,174 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-01 21:05:47,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:05:47,359 - pyskl - INFO - +top1_acc 0.9406 +top5_acc 0.9953 +2025-07-01 21:05:47,360 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9406, top5_acc: 0.9953 +2025-07-01 21:06:30,235 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:12:38, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4239, loss: 0.4239 +2025-07-01 21:06:48,018 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:12:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9956, loss_cls: 0.4168, loss: 0.4168 +2025-07-01 21:07:05,340 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:11:58, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.3887, loss: 0.3887 +2025-07-01 21:07:23,008 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:11:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.4803, loss: 0.4803 +2025-07-01 21:07:40,639 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:11:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3596, loss: 0.3596 +2025-07-01 21:07:58,212 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:11:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.3995, loss: 0.3995 +2025-07-01 21:08:15,940 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:10:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4299, loss: 0.4299 +2025-07-01 21:08:33,886 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:10:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4107, loss: 0.4107 +2025-07-01 21:08:51,954 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-01 21:09:29,431 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:09:29,454 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9947 +2025-07-01 21:09:29,455 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9368, top5_acc: 0.9947 +2025-07-01 21:10:11,503 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:09:54, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4270, loss: 0.4270 +2025-07-01 21:10:29,752 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:09:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3798, loss: 0.3798 +2025-07-01 21:10:47,450 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:09:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.4147, loss: 0.4147 +2025-07-01 21:11:05,192 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:08:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9869, loss_cls: 0.4356, loss: 0.4356 +2025-07-01 21:11:23,344 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:08:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4091, loss: 0.4091 +2025-07-01 21:11:41,227 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:08:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9894, loss_cls: 0.4408, loss: 0.4408 +2025-07-01 21:11:58,818 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:07:59, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4585, loss: 0.4585 +2025-07-01 21:12:16,700 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:07:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9888, loss_cls: 0.4494, loss: 0.4494 +2025-07-01 21:12:34,946 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-01 21:13:12,471 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:13:12,494 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9958 +2025-07-01 21:13:12,495 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9453, top5_acc: 0.9958 +2025-07-01 21:13:54,689 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:07:12, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3452, loss: 0.3452 +2025-07-01 21:14:12,691 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:06:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3953, loss: 0.3953 +2025-07-01 21:14:30,393 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:06:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3986, loss: 0.3986 +2025-07-01 21:14:48,059 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:06:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.4176, loss: 0.4176 +2025-07-01 21:15:05,693 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:05:55, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4177, loss: 0.4177 +2025-07-01 21:15:23,244 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:05:36, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.3847, loss: 0.3847 +2025-07-01 21:15:41,081 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:05:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4662, loss: 0.4662 +2025-07-01 21:15:58,806 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:04:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4065, loss: 0.4065 +2025-07-01 21:16:17,044 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-01 21:16:53,902 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:16:53,925 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9936 +2025-07-01 21:16:53,926 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9474, top5_acc: 0.9936 +2025-07-01 21:17:37,601 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:04:31, time: 0.437, data_time: 0.249, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3901, loss: 0.3901 +2025-07-01 21:17:55,716 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:04:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.3933, loss: 0.3933 +2025-07-01 21:18:13,500 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:03:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3486, loss: 0.3486 +2025-07-01 21:18:31,367 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:03:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.4398, loss: 0.4398 +2025-07-01 21:18:49,192 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:03:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.4796, loss: 0.4796 +2025-07-01 21:19:06,932 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:02:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.3917, loss: 0.3917 +2025-07-01 21:19:24,731 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:02:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3466, loss: 0.3466 +2025-07-01 21:19:42,757 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:02:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4371, loss: 0.4371 +2025-07-01 21:20:00,918 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-01 21:20:38,428 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:20:38,455 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9965 +2025-07-01 21:20:38,460 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_57.pth was removed +2025-07-01 21:20:38,653 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_62.pth. +2025-07-01 21:20:38,653 - pyskl - INFO - Best top1_acc is 0.9506 at 62 epoch. +2025-07-01 21:20:38,655 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9506, top5_acc: 0.9965 +2025-07-01 21:21:21,782 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:01:51, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.4032, loss: 0.4032 +2025-07-01 21:21:39,569 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:01:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3566, loss: 0.3566 +2025-07-01 21:21:56,948 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:01:12, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4357, loss: 0.4357 +2025-07-01 21:22:14,517 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:00:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 0.4286, loss: 0.4286 +2025-07-01 21:22:32,191 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:00:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3738, loss: 0.3738 +2025-07-01 21:22:49,558 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:00:13, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.3933, loss: 0.3933 +2025-07-01 21:23:07,261 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 3:59:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.4113, loss: 0.4113 +2025-07-01 21:23:24,964 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 3:59:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4025, loss: 0.4025 +2025-07-01 21:23:43,008 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-01 21:24:20,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:24:20,721 - pyskl - INFO - +top1_acc 0.8947 +top5_acc 0.9911 +2025-07-01 21:24:20,723 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.8947, top5_acc: 0.9911 +2025-07-01 21:25:03,944 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 3:59:07, time: 0.432, data_time: 0.251, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9925, loss_cls: 0.3710, loss: 0.3710 +2025-07-01 21:25:21,611 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 3:58:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9906, loss_cls: 0.3298, loss: 0.3298 +2025-07-01 21:25:39,467 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 3:58:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.3545, loss: 0.3545 +2025-07-01 21:25:57,235 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 3:58:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4065, loss: 0.4065 +2025-07-01 21:26:14,974 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 3:57:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3433, loss: 0.3433 +2025-07-01 21:26:32,526 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 3:57:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4369, loss: 0.4369 +2025-07-01 21:26:50,350 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:57:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3623, loss: 0.3623 +2025-07-01 21:27:08,156 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:56:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3664, loss: 0.3664 +2025-07-01 21:27:26,731 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-01 21:28:04,329 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:28:04,354 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9944 +2025-07-01 21:28:04,355 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9414, top5_acc: 0.9944 +2025-07-01 21:28:47,919 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:56:26, time: 0.436, data_time: 0.252, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4231, loss: 0.4231 +2025-07-01 21:29:05,928 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:56:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9925, loss_cls: 0.3237, loss: 0.3237 +2025-07-01 21:29:23,772 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:55:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.4052, loss: 0.4052 +2025-07-01 21:29:41,674 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:55:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4011, loss: 0.4011 +2025-07-01 21:29:59,312 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:55:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9912, loss_cls: 0.3824, loss: 0.3824 +2025-07-01 21:30:16,772 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:54:50, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.3802, loss: 0.3802 +2025-07-01 21:30:34,514 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:54:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.4039, loss: 0.4039 +2025-07-01 21:30:52,292 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:54:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.3936, loss: 0.3936 +2025-07-01 21:31:10,605 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-01 21:31:48,033 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:31:48,056 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9967 +2025-07-01 21:31:48,057 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9428, top5_acc: 0.9967 +2025-07-01 21:32:30,740 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:53:43, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3525, loss: 0.3525 +2025-07-01 21:32:49,097 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:53:25, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3733, loss: 0.3733 +2025-07-01 21:33:06,785 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:53:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3724, loss: 0.3724 +2025-07-01 21:33:24,432 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:52:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4275, loss: 0.4275 +2025-07-01 21:33:42,320 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:52:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3270, loss: 0.3270 +2025-07-01 21:33:59,900 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:52:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3639, loss: 0.3639 +2025-07-01 21:34:17,453 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:51:48, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4011, loss: 0.4011 +2025-07-01 21:34:35,525 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:51:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3642, loss: 0.3642 +2025-07-01 21:34:53,636 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-01 21:35:31,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:35:31,533 - pyskl - INFO - +top1_acc 0.9424 +top5_acc 0.9955 +2025-07-01 21:35:31,534 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9424, top5_acc: 0.9955 +2025-07-01 21:36:13,864 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:51:00, time: 0.423, data_time: 0.243, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3483, loss: 0.3483 +2025-07-01 21:36:31,615 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:50:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3395, loss: 0.3395 +2025-07-01 21:36:49,364 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:50:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3369, loss: 0.3369 +2025-07-01 21:37:06,837 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:50:02, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3301, loss: 0.3301 +2025-07-01 21:37:24,490 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:49:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.4078, loss: 0.4078 +2025-07-01 21:37:42,061 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:49:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3903, loss: 0.3903 +2025-07-01 21:37:59,597 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:49:04, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3649, loss: 0.3649 +2025-07-01 21:38:17,509 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:48:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3596, loss: 0.3596 +2025-07-01 21:38:35,733 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-01 21:39:13,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:39:13,371 - pyskl - INFO - +top1_acc 0.9308 +top5_acc 0.9936 +2025-07-01 21:39:13,372 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9308, top5_acc: 0.9936 +2025-07-01 21:39:56,168 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:48:17, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4217, loss: 0.4217 +2025-07-01 21:40:14,159 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:47:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3488, loss: 0.3488 +2025-07-01 21:40:31,855 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:47:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3273, loss: 0.3273 +2025-07-01 21:40:49,871 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:47:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3537, loss: 0.3537 +2025-07-01 21:41:07,778 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:47:01, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3552, loss: 0.3552 +2025-07-01 21:41:25,536 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:46:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3936, loss: 0.3936 +2025-07-01 21:41:43,181 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:46:22, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3261, loss: 0.3261 +2025-07-01 21:42:00,757 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:46:03, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 0.3752, loss: 0.3752 +2025-07-01 21:42:18,909 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-01 21:42:56,266 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:42:56,294 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9960 +2025-07-01 21:42:56,295 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9414, top5_acc: 0.9960 +2025-07-01 21:43:40,019 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:45:35, time: 0.437, data_time: 0.251, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4240, loss: 0.4240 +2025-07-01 21:43:58,187 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:45:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3613, loss: 0.3613 +2025-07-01 21:44:16,091 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:44:57, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3538, loss: 0.3538 +2025-07-01 21:44:33,984 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:44:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3597, loss: 0.3597 +2025-07-01 21:44:51,386 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:44:19, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3683, loss: 0.3683 +2025-07-01 21:45:09,579 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:44:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3098, loss: 0.3098 +2025-07-01 21:45:27,308 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:43:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4403, loss: 0.4403 +2025-07-01 21:45:45,168 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:43:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9900, loss_cls: 0.4185, loss: 0.4185 +2025-07-01 21:46:03,276 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-01 21:46:41,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:46:41,649 - pyskl - INFO - +top1_acc 0.9450 +top5_acc 0.9946 +2025-07-01 21:46:41,651 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9450, top5_acc: 0.9946 +2025-07-01 21:47:24,799 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:42:53, time: 0.431, data_time: 0.250, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.3960, loss: 0.3960 +2025-07-01 21:47:42,705 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:42:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3539, loss: 0.3539 +2025-07-01 21:48:00,387 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:42:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3433, loss: 0.3433 +2025-07-01 21:48:17,780 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:41:55, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.3790, loss: 0.3790 +2025-07-01 21:48:35,424 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:41:36, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2908, loss: 0.2908 +2025-07-01 21:48:52,996 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:41:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3327, loss: 0.3327 +2025-07-01 21:49:10,707 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:40:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9900, loss_cls: 0.3957, loss: 0.3957 +2025-07-01 21:49:28,604 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:40:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3402, loss: 0.3402 +2025-07-01 21:49:47,056 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-01 21:50:24,387 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:50:24,415 - pyskl - INFO - +top1_acc 0.9418 +top5_acc 0.9967 +2025-07-01 21:50:24,416 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9418, top5_acc: 0.9967 +2025-07-01 21:51:07,860 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:40:10, time: 0.434, data_time: 0.251, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.3135, loss: 0.3135 +2025-07-01 21:51:25,483 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:39:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3183, loss: 0.3183 +2025-07-01 21:51:43,249 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:39:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3654, loss: 0.3654 +2025-07-01 21:52:01,098 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:39:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3766, loss: 0.3766 +2025-07-01 21:52:19,225 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:38:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3244, loss: 0.3244 +2025-07-01 21:52:36,831 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:38:34, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3161, loss: 0.3161 +2025-07-01 21:52:54,474 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:38:15, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 0.3778, loss: 0.3778 +2025-07-01 21:53:12,382 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:37:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3401, loss: 0.3401 +2025-07-01 21:53:30,674 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-01 21:54:08,344 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:54:08,367 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9962 +2025-07-01 21:54:08,371 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_62.pth was removed +2025-07-01 21:54:08,563 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. +2025-07-01 21:54:08,563 - pyskl - INFO - Best top1_acc is 0.9541 at 71 epoch. +2025-07-01 21:54:08,565 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9541, top5_acc: 0.9962 +2025-07-01 21:54:50,956 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:37:26, time: 0.424, data_time: 0.243, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.2927, loss: 0.2927 +2025-07-01 21:55:08,480 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:37:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3315, loss: 0.3315 +2025-07-01 21:55:26,169 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:36:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9925, loss_cls: 0.3830, loss: 0.3830 +2025-07-01 21:55:43,776 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:36:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3474, loss: 0.3474 +2025-07-01 21:56:01,282 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:36:09, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3499, loss: 0.3499 +2025-07-01 21:56:19,415 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:35:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2663, loss: 0.2663 +2025-07-01 21:56:37,123 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:35:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3248, loss: 0.3248 +2025-07-01 21:56:55,084 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:35:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3347, loss: 0.3347 +2025-07-01 21:57:13,338 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-01 21:57:51,033 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:57:51,061 - pyskl - INFO - +top1_acc 0.9439 +top5_acc 0.9954 +2025-07-01 21:57:51,062 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9439, top5_acc: 0.9954 +2025-07-01 21:58:34,000 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:34:43, time: 0.429, data_time: 0.250, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3244, loss: 0.3244 +2025-07-01 21:58:51,816 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:34:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3328, loss: 0.3328 +2025-07-01 21:59:09,218 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:34:04, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2986, loss: 0.2986 +2025-07-01 21:59:26,794 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:33:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9938, loss_cls: 0.4317, loss: 0.4317 +2025-07-01 21:59:44,467 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:33:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3443, loss: 0.3443 +2025-07-01 22:00:02,076 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:33:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3459, loss: 0.3459 +2025-07-01 22:00:19,642 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:32:47, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3808, loss: 0.3808 +2025-07-01 22:00:37,593 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:32:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3056, loss: 0.3056 +2025-07-01 22:00:55,519 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-01 22:01:33,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:01:33,222 - pyskl - INFO - +top1_acc 0.9448 +top5_acc 0.9949 +2025-07-01 22:01:33,223 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9448, top5_acc: 0.9949 +2025-07-01 22:02:17,577 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:32:00, time: 0.443, data_time: 0.264, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3557, loss: 0.3557 +2025-07-01 22:02:35,252 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:31:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.3019, loss: 0.3019 +2025-07-01 22:02:52,938 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:31:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9912, loss_cls: 0.3456, loss: 0.3456 +2025-07-01 22:03:10,643 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:31:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3039, loss: 0.3039 +2025-07-01 22:03:28,170 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:30:43, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3512, loss: 0.3512 +2025-07-01 22:03:45,776 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:30:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3677, loss: 0.3677 +2025-07-01 22:04:03,595 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:30:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4263, loss: 0.4263 +2025-07-01 22:04:21,461 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:29:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3516, loss: 0.3516 +2025-07-01 22:04:39,422 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-01 22:05:17,273 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:05:17,301 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9953 +2025-07-01 22:05:17,302 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9516, top5_acc: 0.9953 +2025-07-01 22:06:01,388 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:29:17, time: 0.441, data_time: 0.263, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 0.3370, loss: 0.3370 +2025-07-01 22:06:19,258 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:28:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3191, loss: 0.3191 +2025-07-01 22:06:37,040 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:28:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2882, loss: 0.2882 +2025-07-01 22:06:54,737 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:28:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9912, loss_cls: 0.3275, loss: 0.3275 +2025-07-01 22:07:12,519 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:28:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3352, loss: 0.3352 +2025-07-01 22:07:30,206 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:27:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2849, loss: 0.2849 +2025-07-01 22:07:47,778 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:27:22, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3756, loss: 0.3756 +2025-07-01 22:08:05,545 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:27:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.3658, loss: 0.3658 +2025-07-01 22:08:23,577 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-01 22:09:01,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:09:01,335 - pyskl - INFO - +top1_acc 0.9507 +top5_acc 0.9962 +2025-07-01 22:09:01,336 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9507, top5_acc: 0.9962 +2025-07-01 22:09:44,499 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:26:34, time: 0.432, data_time: 0.251, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2773, loss: 0.2773 +2025-07-01 22:10:02,475 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:26:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2865, loss: 0.2865 +2025-07-01 22:10:20,413 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:25:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2895, loss: 0.2895 +2025-07-01 22:10:38,383 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:25:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3529, loss: 0.3529 +2025-07-01 22:10:55,860 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:25:18, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3649, loss: 0.3649 +2025-07-01 22:11:13,492 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:24:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3334, loss: 0.3334 +2025-07-01 22:11:31,023 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:24:39, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3028, loss: 0.3028 +2025-07-01 22:11:48,876 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:24:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9925, loss_cls: 0.3152, loss: 0.3152 +2025-07-01 22:12:07,268 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-01 22:12:47,081 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:12:47,112 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9953 +2025-07-01 22:12:47,114 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9420, top5_acc: 0.9953 +2025-07-01 22:13:30,793 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:23:51, time: 0.437, data_time: 0.257, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2899, loss: 0.2899 +2025-07-01 22:13:48,890 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:23:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3644, loss: 0.3644 +2025-07-01 22:14:06,627 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:23:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3194, loss: 0.3194 +2025-07-01 22:14:24,417 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:22:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2771, loss: 0.2771 +2025-07-01 22:14:42,162 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:22:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2865, loss: 0.2865 +2025-07-01 22:14:59,758 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:22:15, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3259, loss: 0.3259 +2025-07-01 22:15:17,772 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:21:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3140, loss: 0.3140 +2025-07-01 22:15:35,367 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:21:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3220, loss: 0.3220 +2025-07-01 22:15:53,712 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-01 22:16:31,871 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:16:31,894 - pyskl - INFO - +top1_acc 0.9551 +top5_acc 0.9962 +2025-07-01 22:16:31,898 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_71.pth was removed +2025-07-01 22:16:32,064 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-01 22:16:32,065 - pyskl - INFO - Best top1_acc is 0.9551 at 77 epoch. +2025-07-01 22:16:32,066 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9551, top5_acc: 0.9962 +2025-07-01 22:17:15,242 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:21:07, time: 0.432, data_time: 0.250, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.2966, loss: 0.2966 +2025-07-01 22:17:33,311 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:20:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9938, loss_cls: 0.2756, loss: 0.2756 +2025-07-01 22:17:50,984 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:20:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3299, loss: 0.3299 +2025-07-01 22:18:08,720 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:20:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3167, loss: 0.3167 +2025-07-01 22:18:26,164 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:19:51, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3145, loss: 0.3145 +2025-07-01 22:18:43,671 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:19:31, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.3031, loss: 0.3031 +2025-07-01 22:19:01,411 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:19:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.3855, loss: 0.3855 +2025-07-01 22:19:19,114 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:18:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3539, loss: 0.3539 +2025-07-01 22:19:37,246 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-01 22:20:14,637 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:20:14,661 - pyskl - INFO - +top1_acc 0.9596 +top5_acc 0.9968 +2025-07-01 22:20:14,665 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_77.pth was removed +2025-07-01 22:20:14,836 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2025-07-01 22:20:14,837 - pyskl - INFO - Best top1_acc is 0.9596 at 78 epoch. +2025-07-01 22:20:14,839 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9596, top5_acc: 0.9968 +2025-07-01 22:20:58,139 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:18:23, time: 0.433, data_time: 0.250, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2648, loss: 0.2648 +2025-07-01 22:21:15,877 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:18:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2863, loss: 0.2863 +2025-07-01 22:21:33,740 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:17:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.2940, loss: 0.2940 +2025-07-01 22:21:51,449 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:17:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2733, loss: 0.2733 +2025-07-01 22:22:09,062 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:17:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2478, loss: 0.2478 +2025-07-01 22:22:26,734 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:16:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3156, loss: 0.3156 +2025-07-01 22:22:44,551 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:16:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3362, loss: 0.3362 +2025-07-01 22:23:02,235 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:16:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.3167, loss: 0.3167 +2025-07-01 22:23:20,396 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-01 22:23:57,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:23:57,694 - pyskl - INFO - +top1_acc 0.9505 +top5_acc 0.9949 +2025-07-01 22:23:57,694 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9505, top5_acc: 0.9949 +2025-07-01 22:24:40,507 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:15:39, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3196, loss: 0.3196 +2025-07-01 22:24:58,260 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:15:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2787, loss: 0.2787 +2025-07-01 22:25:16,243 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:15:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.2955, loss: 0.2955 +2025-07-01 22:25:34,136 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:14:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9912, loss_cls: 0.3117, loss: 0.3117 +2025-07-01 22:25:51,648 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:14:22, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 0.3090, loss: 0.3090 +2025-07-01 22:26:09,153 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:14:03, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2816, loss: 0.2816 +2025-07-01 22:26:27,149 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:13:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2986, loss: 0.2986 +2025-07-01 22:26:44,754 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:13:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9944, loss_cls: 0.2616, loss: 0.2616 +2025-07-01 22:27:03,015 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-01 22:27:40,368 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:27:40,398 - pyskl - INFO - +top1_acc 0.9578 +top5_acc 0.9958 +2025-07-01 22:27:40,399 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9578, top5_acc: 0.9958 +2025-07-01 22:28:23,351 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:12:54, time: 0.429, data_time: 0.249, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3227, loss: 0.3227 +2025-07-01 22:28:41,489 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:12:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2962, loss: 0.2962 +2025-07-01 22:28:59,244 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:12:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9944, loss_cls: 0.2935, loss: 0.2935 +2025-07-01 22:29:16,905 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:11:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2329, loss: 0.2329 +2025-07-01 22:29:34,538 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:11:38, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2423, loss: 0.2423 +2025-07-01 22:29:52,281 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:11:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2520, loss: 0.2520 +2025-07-01 22:30:10,181 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:11:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.2977, loss: 0.2977 +2025-07-01 22:30:27,727 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:10:41, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.3584, loss: 0.3584 +2025-07-01 22:30:46,068 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-01 22:31:24,397 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:31:24,422 - pyskl - INFO - +top1_acc 0.9507 +top5_acc 0.9961 +2025-07-01 22:31:24,423 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9507, top5_acc: 0.9961 +2025-07-01 22:32:07,813 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:10:11, time: 0.434, data_time: 0.250, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3225, loss: 0.3225 +2025-07-01 22:32:25,399 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:09:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2756, loss: 0.2756 +2025-07-01 22:32:43,309 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:09:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.2926, loss: 0.2926 +2025-07-01 22:33:01,020 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:09:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3135, loss: 0.3135 +2025-07-01 22:33:18,791 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:08:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2762, loss: 0.2762 +2025-07-01 22:33:36,332 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:08:35, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2701, loss: 0.2701 +2025-07-01 22:33:54,428 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:08:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2679, loss: 0.2679 +2025-07-01 22:34:11,916 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:07:57, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3327, loss: 0.3327 +2025-07-01 22:34:29,822 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-01 22:35:07,109 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:35:07,132 - pyskl - INFO - +top1_acc 0.9591 +top5_acc 0.9969 +2025-07-01 22:35:07,133 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9591, top5_acc: 0.9969 +2025-07-01 22:35:50,306 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:07:26, time: 0.432, data_time: 0.253, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3325, loss: 0.3325 +2025-07-01 22:36:08,218 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:07:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2576, loss: 0.2576 +2025-07-01 22:36:26,308 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:06:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 0.2710, loss: 0.2710 +2025-07-01 22:36:43,967 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:06:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3078, loss: 0.3078 +2025-07-01 22:37:01,578 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:06:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2890, loss: 0.2890 +2025-07-01 22:37:19,034 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:05:51, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3224, loss: 0.3224 +2025-07-01 22:37:36,906 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:05:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3197, loss: 0.3197 +2025-07-01 22:37:54,571 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:05:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.3019, loss: 0.3019 +2025-07-01 22:38:12,538 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-01 22:38:50,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:38:50,600 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9968 +2025-07-01 22:38:50,604 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_78.pth was removed +2025-07-01 22:38:50,804 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. +2025-07-01 22:38:50,804 - pyskl - INFO - Best top1_acc is 0.9612 at 83 epoch. +2025-07-01 22:38:50,806 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9612, top5_acc: 0.9968 +2025-07-01 22:39:33,953 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:04:42, time: 0.431, data_time: 0.250, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2434, loss: 0.2434 +2025-07-01 22:39:51,664 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:04:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.2119, loss: 0.2119 +2025-07-01 22:40:09,958 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:04:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2272, loss: 0.2272 +2025-07-01 22:40:27,594 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:03:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2384, loss: 0.2384 +2025-07-01 22:40:45,244 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:03:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2828, loss: 0.2828 +2025-07-01 22:41:02,939 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:03:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3677, loss: 0.3677 +2025-07-01 22:41:20,785 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:02:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2822, loss: 0.2822 +2025-07-01 22:41:38,341 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:02:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2301, loss: 0.2301 +2025-07-01 22:41:56,449 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-01 22:42:33,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:42:33,823 - pyskl - INFO - +top1_acc 0.9478 +top5_acc 0.9958 +2025-07-01 22:42:33,824 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9478, top5_acc: 0.9958 +2025-07-01 22:43:17,545 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:01:58, time: 0.437, data_time: 0.255, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9931, loss_cls: 0.3059, loss: 0.3059 +2025-07-01 22:43:34,880 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:01:39, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2700, loss: 0.2700 +2025-07-01 22:43:52,574 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:01:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2464, loss: 0.2464 +2025-07-01 22:44:10,719 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:01:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3099, loss: 0.3099 +2025-07-01 22:44:28,444 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:00:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9950, loss_cls: 0.2413, loss: 0.2413 +2025-07-01 22:44:46,386 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:00:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2507, loss: 0.2507 +2025-07-01 22:45:04,067 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:00:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9938, loss_cls: 0.2774, loss: 0.2774 +2025-07-01 22:45:21,563 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 2:59:45, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.2849, loss: 0.2849 +2025-07-01 22:45:39,800 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-01 22:46:17,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:46:17,113 - pyskl - INFO - +top1_acc 0.9463 +top5_acc 0.9972 +2025-07-01 22:46:17,114 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9463, top5_acc: 0.9972 +2025-07-01 22:47:00,343 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 2:59:14, time: 0.432, data_time: 0.252, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2397, loss: 0.2397 +2025-07-01 22:47:17,487 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 2:58:54, time: 0.171, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2475, loss: 0.2475 +2025-07-01 22:47:35,184 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 2:58:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2506, loss: 0.2506 +2025-07-01 22:47:52,814 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 2:58:16, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2553, loss: 0.2553 +2025-07-01 22:48:10,682 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:57:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2998, loss: 0.2998 +2025-07-01 22:48:28,054 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:57:38, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2450, loss: 0.2450 +2025-07-01 22:48:46,088 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:57:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2350, loss: 0.2350 +2025-07-01 22:49:03,739 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:57:00, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2467, loss: 0.2467 +2025-07-01 22:49:21,721 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-01 22:49:59,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:49:59,373 - pyskl - INFO - +top1_acc 0.9439 +top5_acc 0.9951 +2025-07-01 22:49:59,374 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9439, top5_acc: 0.9951 +2025-07-01 22:50:43,466 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:56:29, time: 0.441, data_time: 0.259, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2757, loss: 0.2757 +2025-07-01 22:51:01,193 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:56:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2832, loss: 0.2832 +2025-07-01 22:51:19,224 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:55:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2551, loss: 0.2551 +2025-07-01 22:51:37,401 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:55:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2025, loss: 0.2025 +2025-07-01 22:51:55,161 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:55:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2807, loss: 0.2807 +2025-07-01 22:52:12,985 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:54:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9925, loss_cls: 0.2661, loss: 0.2661 +2025-07-01 22:52:30,906 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:54:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2841, loss: 0.2841 +2025-07-01 22:52:48,820 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:54:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2497, loss: 0.2497 +2025-07-01 22:53:07,086 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-01 22:53:45,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:53:45,069 - pyskl - INFO - +top1_acc 0.9615 +top5_acc 0.9965 +2025-07-01 22:53:45,073 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_83.pth was removed +2025-07-01 22:53:45,239 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_87.pth. +2025-07-01 22:53:45,240 - pyskl - INFO - Best top1_acc is 0.9615 at 87 epoch. +2025-07-01 22:53:45,241 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9615, top5_acc: 0.9965 +2025-07-01 22:54:28,265 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:53:45, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2535, loss: 0.2535 +2025-07-01 22:54:45,951 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:53:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2313, loss: 0.2313 +2025-07-01 22:55:03,591 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:53:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2352, loss: 0.2352 +2025-07-01 22:55:21,584 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:52:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2867, loss: 0.2867 +2025-07-01 22:55:39,549 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:52:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9962, loss_cls: 0.2661, loss: 0.2661 +2025-07-01 22:55:57,448 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:52:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2843, loss: 0.2843 +2025-07-01 22:56:15,103 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:51:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9988, loss_cls: 0.2496, loss: 0.2496 +2025-07-01 22:56:32,587 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:51:33, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2811, loss: 0.2811 +2025-07-01 22:56:50,863 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-01 22:57:28,005 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:57:28,033 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9969 +2025-07-01 22:57:28,037 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_87.pth was removed +2025-07-01 22:57:28,225 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2025-07-01 22:57:28,226 - pyskl - INFO - Best top1_acc is 0.9630 at 88 epoch. +2025-07-01 22:57:28,227 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9630, top5_acc: 0.9969 +2025-07-01 22:58:10,953 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:51:00, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2430, loss: 0.2430 +2025-07-01 22:58:28,500 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:50:41, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2003, loss: 0.2003 +2025-07-01 22:58:46,508 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:50:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2362, loss: 0.2362 +2025-07-01 22:59:04,533 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:50:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2260, loss: 0.2260 +2025-07-01 22:59:22,717 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:49:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.2930, loss: 0.2930 +2025-07-01 22:59:40,789 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:49:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.2893, loss: 0.2893 +2025-07-01 22:59:58,539 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:49:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2277, loss: 0.2277 +2025-07-01 23:00:16,316 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:48:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2600, loss: 0.2600 +2025-07-01 23:00:34,390 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-01 23:01:11,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:01:11,575 - pyskl - INFO - +top1_acc 0.9524 +top5_acc 0.9967 +2025-07-01 23:01:11,576 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9524, top5_acc: 0.9967 +2025-07-01 23:01:55,383 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:48:17, time: 0.438, data_time: 0.253, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2700, loss: 0.2700 +2025-07-01 23:02:13,086 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:47:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1948, loss: 0.1948 +2025-07-01 23:02:31,250 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:47:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2364, loss: 0.2364 +2025-07-01 23:02:49,456 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:47:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2316, loss: 0.2316 +2025-07-01 23:03:07,767 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:47:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2345, loss: 0.2345 +2025-07-01 23:03:25,443 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:46:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2359, loss: 0.2359 +2025-07-01 23:03:43,712 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:46:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2465, loss: 0.2465 +2025-07-01 23:04:01,221 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:46:05, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 0.2310, loss: 0.2310 +2025-07-01 23:04:19,388 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-01 23:04:56,376 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:04:56,409 - pyskl - INFO - +top1_acc 0.9576 +top5_acc 0.9968 +2025-07-01 23:04:56,411 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9576, top5_acc: 0.9968 +2025-07-01 23:05:39,676 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:45:33, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2249, loss: 0.2249 +2025-07-01 23:05:57,542 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:45:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2070, loss: 0.2070 +2025-07-01 23:06:15,500 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:44:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.1990, loss: 0.1990 +2025-07-01 23:06:33,384 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:44:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2031, loss: 0.2031 +2025-07-01 23:06:51,387 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:44:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2368, loss: 0.2368 +2025-07-01 23:07:09,171 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:43:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2346, loss: 0.2346 +2025-07-01 23:07:27,041 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:43:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 0.2729, loss: 0.2729 +2025-07-01 23:07:44,786 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:43:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2557, loss: 0.2557 +2025-07-01 23:08:02,957 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-01 23:08:40,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:08:40,406 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9955 +2025-07-01 23:08:40,407 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9512, top5_acc: 0.9955 +2025-07-01 23:09:24,075 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:42:49, time: 0.437, data_time: 0.250, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2003, loss: 0.2003 +2025-07-01 23:09:41,797 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:42:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2067, loss: 0.2067 +2025-07-01 23:09:59,512 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:42:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2076, loss: 0.2076 +2025-07-01 23:10:17,539 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:41:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2015, loss: 0.2015 +2025-07-01 23:10:35,442 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:41:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2207, loss: 0.2207 +2025-07-01 23:10:53,143 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:41:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2204, loss: 0.2204 +2025-07-01 23:11:10,955 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:40:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2043, loss: 0.2043 +2025-07-01 23:11:28,863 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:40:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2301, loss: 0.2301 +2025-07-01 23:11:46,822 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-01 23:12:24,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:12:24,562 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9965 +2025-07-01 23:12:24,563 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9609, top5_acc: 0.9965 +2025-07-01 23:13:07,767 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:40:05, time: 0.432, data_time: 0.250, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2408, loss: 0.2408 +2025-07-01 23:13:25,382 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:39:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1749, loss: 0.1749 +2025-07-01 23:13:43,188 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:39:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2136, loss: 0.2136 +2025-07-01 23:14:00,768 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:39:08, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.2724, loss: 0.2724 +2025-07-01 23:14:18,485 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:38:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2251, loss: 0.2251 +2025-07-01 23:14:36,104 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:38:30, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2717, loss: 0.2717 +2025-07-01 23:14:53,823 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:38:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2263, loss: 0.2263 +2025-07-01 23:15:11,569 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:37:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2535, loss: 0.2535 +2025-07-01 23:15:29,648 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-01 23:16:06,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:16:06,752 - pyskl - INFO - +top1_acc 0.9644 +top5_acc 0.9962 +2025-07-01 23:16:06,757 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_88.pth was removed +2025-07-01 23:16:06,922 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-07-01 23:16:06,922 - pyskl - INFO - Best top1_acc is 0.9644 at 93 epoch. +2025-07-01 23:16:06,924 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9644, top5_acc: 0.9962 +2025-07-01 23:16:49,681 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:37:19, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2830, loss: 0.2830 +2025-07-01 23:17:07,360 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:37:00, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.1942, loss: 0.1942 +2025-07-01 23:17:25,648 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:36:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.2247, loss: 0.2247 +2025-07-01 23:17:43,828 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:36:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1982, loss: 0.1982 +2025-07-01 23:18:02,006 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:36:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1746, loss: 0.1746 +2025-07-01 23:18:19,940 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:35:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2030, loss: 0.2030 +2025-07-01 23:18:37,580 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:35:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2289, loss: 0.2289 +2025-07-01 23:18:55,335 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:35:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2564, loss: 0.2564 +2025-07-01 23:19:13,824 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-01 23:19:50,690 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:19:50,717 - pyskl - INFO - +top1_acc 0.9680 +top5_acc 0.9969 +2025-07-01 23:19:50,722 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_93.pth was removed +2025-07-01 23:19:50,918 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-07-01 23:19:50,918 - pyskl - INFO - Best top1_acc is 0.9680 at 94 epoch. +2025-07-01 23:19:50,920 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9680, top5_acc: 0.9969 +2025-07-01 23:20:33,452 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:34:35, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2148, loss: 0.2148 +2025-07-01 23:20:51,252 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:34:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2035, loss: 0.2035 +2025-07-01 23:21:09,049 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:33:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.1974, loss: 0.1974 +2025-07-01 23:21:26,903 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:33:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2125, loss: 0.2125 +2025-07-01 23:21:45,053 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:33:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2321, loss: 0.2321 +2025-07-01 23:22:03,015 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:33:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2202, loss: 0.2202 +2025-07-01 23:22:20,751 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:32:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2413, loss: 0.2413 +2025-07-01 23:22:38,432 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:32:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2170, loss: 0.2170 +2025-07-01 23:22:56,499 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-01 23:23:33,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:23:33,596 - pyskl - INFO - +top1_acc 0.9648 +top5_acc 0.9967 +2025-07-01 23:23:33,597 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9648, top5_acc: 0.9967 +2025-07-01 23:24:15,977 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:31:49, time: 0.424, data_time: 0.244, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1826, loss: 0.1826 +2025-07-01 23:24:33,661 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:31:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2029, loss: 0.2029 +2025-07-01 23:24:50,884 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:31:11, time: 0.172, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1670, loss: 0.1670 +2025-07-01 23:25:08,590 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:30:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2268, loss: 0.2268 +2025-07-01 23:25:26,720 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:30:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1779, loss: 0.1779 +2025-07-01 23:25:44,027 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:30:14, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2103, loss: 0.2103 +2025-07-01 23:26:01,723 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:29:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 0.2545, loss: 0.2545 +2025-07-01 23:26:19,360 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:29:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.1961, loss: 0.1961 +2025-07-01 23:26:37,322 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-01 23:27:13,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:27:13,917 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9962 +2025-07-01 23:27:13,918 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9612, top5_acc: 0.9962 +2025-07-01 23:27:56,672 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:29:03, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1724, loss: 0.1724 +2025-07-01 23:28:14,600 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:28:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2077, loss: 0.2077 +2025-07-01 23:28:32,085 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:28:26, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1812, loss: 0.1812 +2025-07-01 23:28:49,786 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:28:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2156, loss: 0.2156 +2025-07-01 23:29:07,661 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:27:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1879, loss: 0.1879 +2025-07-01 23:29:25,418 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:27:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1746, loss: 0.1746 +2025-07-01 23:29:43,309 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:27:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2005, loss: 0.2005 +2025-07-01 23:30:01,227 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:26:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2053, loss: 0.2053 +2025-07-01 23:30:19,308 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-01 23:30:55,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:30:55,975 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9967 +2025-07-01 23:30:55,976 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9662, top5_acc: 0.9967 +2025-07-01 23:31:39,364 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:26:19, time: 0.434, data_time: 0.254, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1728, loss: 0.1728 +2025-07-01 23:31:57,382 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:26:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1655, loss: 0.1655 +2025-07-01 23:32:14,968 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:25:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1646, loss: 0.1646 +2025-07-01 23:32:32,923 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:25:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1740, loss: 0.1740 +2025-07-01 23:32:50,744 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:25:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1858, loss: 0.1858 +2025-07-01 23:33:08,574 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:24:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1608, loss: 0.1608 +2025-07-01 23:33:26,433 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:24:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1628, loss: 0.1628 +2025-07-01 23:33:44,306 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:24:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1750, loss: 0.1750 +2025-07-01 23:34:02,229 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-01 23:34:39,149 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:34:39,172 - pyskl - INFO - +top1_acc 0.9677 +top5_acc 0.9967 +2025-07-01 23:34:39,173 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9677, top5_acc: 0.9967 +2025-07-01 23:35:21,731 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:23:33, time: 0.426, data_time: 0.246, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2104, loss: 0.2104 +2025-07-01 23:35:39,546 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:23:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.1818, loss: 0.1818 +2025-07-01 23:35:57,031 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:22:56, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1781, loss: 0.1781 +2025-07-01 23:36:14,492 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:22:37, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1903, loss: 0.1903 +2025-07-01 23:36:32,340 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:22:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2016, loss: 0.2016 +2025-07-01 23:36:50,408 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:21:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2034, loss: 0.2034 +2025-07-01 23:37:08,022 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:21:40, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1604, loss: 0.1604 +2025-07-01 23:37:25,866 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:21:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1731, loss: 0.1731 +2025-07-01 23:37:43,832 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-01 23:38:20,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:38:20,700 - pyskl - INFO - +top1_acc 0.9617 +top5_acc 0.9968 +2025-07-01 23:38:20,701 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9617, top5_acc: 0.9968 +2025-07-01 23:39:04,195 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:20:48, time: 0.435, data_time: 0.248, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2209, loss: 0.2209 +2025-07-01 23:39:22,301 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:20:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.2097, loss: 0.2097 +2025-07-01 23:39:39,983 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:20:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1754, loss: 0.1754 +2025-07-01 23:39:57,609 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:19:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1644, loss: 0.1644 +2025-07-01 23:40:15,372 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:19:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1816, loss: 0.1816 +2025-07-01 23:40:33,580 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:19:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1739, loss: 0.1739 +2025-07-01 23:40:51,261 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:18:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2095, loss: 0.2095 +2025-07-01 23:41:09,208 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:18:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1730, loss: 0.1730 +2025-07-01 23:41:27,323 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-01 23:42:03,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:42:03,899 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9964 +2025-07-01 23:42:03,901 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9662, top5_acc: 0.9964 +2025-07-01 23:42:47,200 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:18:03, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1495, loss: 0.1495 +2025-07-01 23:43:05,231 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:17:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1454, loss: 0.1454 +2025-07-01 23:43:23,073 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:17:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1658, loss: 0.1658 +2025-07-01 23:43:40,873 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:17:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9950, loss_cls: 0.1808, loss: 0.1808 +2025-07-01 23:43:58,694 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:16:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1872, loss: 0.1872 +2025-07-01 23:44:16,451 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:16:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1604, loss: 0.1604 +2025-07-01 23:44:34,084 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:16:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1325, loss: 0.1325 +2025-07-01 23:44:51,999 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:15:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1578, loss: 0.1578 +2025-07-01 23:45:09,976 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-01 23:45:47,112 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:45:47,136 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9972 +2025-07-01 23:45:47,140 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_94.pth was removed +2025-07-01 23:45:47,309 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2025-07-01 23:45:47,309 - pyskl - INFO - Best top1_acc is 0.9698 at 101 epoch. +2025-07-01 23:45:47,311 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9698, top5_acc: 0.9972 +2025-07-01 23:46:29,779 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:15:18, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1377, loss: 0.1377 +2025-07-01 23:46:47,818 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:14:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1473, loss: 0.1473 +2025-07-01 23:47:05,836 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:14:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1395, loss: 0.1395 +2025-07-01 23:47:23,626 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:14:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1362, loss: 0.1362 +2025-07-01 23:47:41,147 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:14:03, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1418, loss: 0.1418 +2025-07-01 23:47:58,970 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:13:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1707, loss: 0.1707 +2025-07-01 23:48:16,613 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:13:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1661, loss: 0.1661 +2025-07-01 23:48:34,644 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:13:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1835, loss: 0.1835 +2025-07-01 23:48:52,639 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-01 23:49:29,587 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:49:29,615 - pyskl - INFO - +top1_acc 0.9701 +top5_acc 0.9972 +2025-07-01 23:49:29,620 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_101.pth was removed +2025-07-01 23:49:29,814 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2025-07-01 23:49:29,814 - pyskl - INFO - Best top1_acc is 0.9701 at 102 epoch. +2025-07-01 23:49:29,816 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9701, top5_acc: 0.9972 +2025-07-01 23:50:12,860 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:12:33, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1416, loss: 0.1416 +2025-07-01 23:50:30,860 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:12:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1792, loss: 0.1792 +2025-07-01 23:50:48,665 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:11:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1428, loss: 0.1428 +2025-07-01 23:51:06,094 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:11:36, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1589, loss: 0.1589 +2025-07-01 23:51:23,633 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:11:17, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1857, loss: 0.1857 +2025-07-01 23:51:41,280 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:10:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1465, loss: 0.1465 +2025-07-01 23:51:59,304 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:10:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9956, loss_cls: 0.1612, loss: 0.1612 +2025-07-01 23:52:16,841 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:10:21, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1803, loss: 0.1803 +2025-07-01 23:52:34,982 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-01 23:53:12,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:53:12,033 - pyskl - INFO - +top1_acc 0.9563 +top5_acc 0.9967 +2025-07-01 23:53:12,035 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9563, top5_acc: 0.9967 +2025-07-01 23:53:55,548 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:09:47, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1555, loss: 0.1555 +2025-07-01 23:54:13,463 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:09:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1439, loss: 0.1439 +2025-07-01 23:54:31,534 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:09:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1447, loss: 0.1447 +2025-07-01 23:54:49,008 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:08:51, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1659, loss: 0.1659 +2025-07-01 23:55:06,904 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:08:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1647, loss: 0.1647 +2025-07-01 23:55:24,899 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:08:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1657, loss: 0.1657 +2025-07-01 23:55:42,757 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:07:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1471, loss: 0.1471 +2025-07-01 23:56:00,460 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:07:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1635, loss: 0.1635 +2025-07-01 23:56:18,448 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-01 23:56:54,746 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:56:54,771 - pyskl - INFO - +top1_acc 0.9672 +top5_acc 0.9962 +2025-07-01 23:56:54,772 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9672, top5_acc: 0.9962 +2025-07-01 23:57:37,597 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:07:02, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1662, loss: 0.1662 +2025-07-01 23:57:55,773 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:06:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1594, loss: 0.1594 +2025-07-01 23:58:13,699 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:06:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1475, loss: 0.1475 +2025-07-01 23:58:31,535 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:06:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1527, loss: 0.1527 +2025-07-01 23:58:49,356 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:05:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1562, loss: 0.1562 +2025-07-01 23:59:07,148 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:05:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1775, loss: 0.1775 +2025-07-01 23:59:25,160 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:05:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1392, loss: 0.1392 +2025-07-01 23:59:42,963 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:04:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1338, loss: 0.1338 +2025-07-02 00:00:01,070 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 00:00:37,983 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:00:38,005 - pyskl - INFO - +top1_acc 0.9673 +top5_acc 0.9967 +2025-07-02 00:00:38,006 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9673, top5_acc: 0.9967 +2025-07-02 00:01:21,064 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:04:17, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1716, loss: 0.1716 +2025-07-02 00:01:39,080 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:03:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1613, loss: 0.1613 +2025-07-02 00:01:57,218 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:03:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1375, loss: 0.1375 +2025-07-02 00:02:14,895 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:03:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1490, loss: 0.1490 +2025-07-02 00:02:32,824 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:03:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1441, loss: 0.1441 +2025-07-02 00:02:50,939 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:02:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1775, loss: 0.1775 +2025-07-02 00:03:08,959 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:02:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1439, loss: 0.1439 +2025-07-02 00:03:26,984 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:02:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1198, loss: 0.1198 +2025-07-02 00:03:44,824 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 00:04:21,180 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:04:21,205 - pyskl - INFO - +top1_acc 0.9690 +top5_acc 0.9974 +2025-07-02 00:04:21,206 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9690, top5_acc: 0.9974 +2025-07-02 00:05:03,834 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:01:32, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1304, loss: 0.1304 +2025-07-02 00:05:21,622 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:01:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1438, loss: 0.1438 +2025-07-02 00:05:39,416 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:00:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1204, loss: 0.1204 +2025-07-02 00:05:56,968 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:00:35, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1227, loss: 0.1227 +2025-07-02 00:06:14,544 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:00:16, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1601, loss: 0.1601 +2025-07-02 00:06:32,475 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 1:59:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 00:06:50,208 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 1:59:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 00:07:07,961 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 1:59:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 00:07:26,094 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 00:08:01,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:08:01,806 - pyskl - INFO - +top1_acc 0.9705 +top5_acc 0.9969 +2025-07-02 00:08:01,810 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_102.pth was removed +2025-07-02 00:08:01,967 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2025-07-02 00:08:01,967 - pyskl - INFO - Best top1_acc is 0.9705 at 107 epoch. +2025-07-02 00:08:01,969 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9705, top5_acc: 0.9969 +2025-07-02 00:08:44,314 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 1:58:46, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1390, loss: 0.1390 +2025-07-02 00:09:02,456 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:58:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1137, loss: 0.1137 +2025-07-02 00:09:20,338 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:58:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1335, loss: 0.1335 +2025-07-02 00:09:37,832 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:57:49, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1091, loss: 0.1091 +2025-07-02 00:09:55,476 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:57:30, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1528, loss: 0.1528 +2025-07-02 00:10:13,184 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:57:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1437, loss: 0.1437 +2025-07-02 00:10:30,955 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:56:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1576, loss: 0.1576 +2025-07-02 00:10:48,639 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:56:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 00:11:06,556 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 00:11:43,208 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:11:43,232 - pyskl - INFO - +top1_acc 0.9684 +top5_acc 0.9971 +2025-07-02 00:11:43,234 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9684, top5_acc: 0.9971 +2025-07-02 00:12:25,742 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:56:00, time: 0.425, data_time: 0.239, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1583, loss: 0.1583 +2025-07-02 00:12:43,623 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:55:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9969, loss_cls: 0.1118, loss: 0.1118 +2025-07-02 00:13:01,844 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:55:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1002, loss: 0.1002 +2025-07-02 00:13:19,636 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:55:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1348, loss: 0.1348 +2025-07-02 00:13:37,276 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:54:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1238, loss: 0.1238 +2025-07-02 00:13:55,166 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:54:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1119, loss: 0.1119 +2025-07-02 00:14:13,080 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:54:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1201, loss: 0.1201 +2025-07-02 00:14:31,118 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:53:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1242, loss: 0.1242 +2025-07-02 00:14:49,410 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 00:15:26,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:15:26,479 - pyskl - INFO - +top1_acc 0.9734 +top5_acc 0.9969 +2025-07-02 00:15:26,483 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_107.pth was removed +2025-07-02 00:15:26,647 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2025-07-02 00:15:26,647 - pyskl - INFO - Best top1_acc is 0.9734 at 109 epoch. +2025-07-02 00:15:26,649 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9734, top5_acc: 0.9969 +2025-07-02 00:16:09,091 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:53:14, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1247, loss: 0.1247 +2025-07-02 00:16:26,828 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:52:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 00:16:44,941 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:52:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1214, loss: 0.1214 +2025-07-02 00:17:02,744 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:52:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1366, loss: 0.1366 +2025-07-02 00:17:20,318 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:51:59, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1121, loss: 0.1121 +2025-07-02 00:17:37,971 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:51:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1422, loss: 0.1422 +2025-07-02 00:17:55,591 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:51:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1424, loss: 0.1424 +2025-07-02 00:18:13,204 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:51:03, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1247, loss: 0.1247 +2025-07-02 00:18:31,328 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 00:19:07,389 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:19:07,414 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9971 +2025-07-02 00:19:07,415 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9676, top5_acc: 0.9971 +2025-07-02 00:19:49,406 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:50:28, time: 0.420, data_time: 0.238, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1357, loss: 0.1357 +2025-07-02 00:20:07,354 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:50:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1034, loss: 0.1034 +2025-07-02 00:20:25,429 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:49:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0989, loss: 0.0989 +2025-07-02 00:20:43,208 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:49:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1294, loss: 0.1294 +2025-07-02 00:21:00,767 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:49:13, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1213, loss: 0.1213 +2025-07-02 00:21:18,468 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:48:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1031, loss: 0.1031 +2025-07-02 00:21:36,140 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:48:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0972, loss: 0.0972 +2025-07-02 00:21:53,823 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:48:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 00:22:11,815 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 00:22:48,197 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:22:48,220 - pyskl - INFO - +top1_acc 0.9709 +top5_acc 0.9978 +2025-07-02 00:22:48,221 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9709, top5_acc: 0.9978 +2025-07-02 00:23:30,531 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:47:42, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1179, loss: 0.1179 +2025-07-02 00:23:48,643 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:47:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1414, loss: 0.1414 +2025-07-02 00:24:06,674 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:47:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1205, loss: 0.1205 +2025-07-02 00:24:24,485 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:46:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1172, loss: 0.1172 +2025-07-02 00:24:42,327 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:46:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 00:24:59,990 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:46:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1129, loss: 0.1129 +2025-07-02 00:25:17,727 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:45:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1138, loss: 0.1138 +2025-07-02 00:25:35,567 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:45:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0959, loss: 0.0959 +2025-07-02 00:25:53,544 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 00:26:30,655 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:26:30,681 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9971 +2025-07-02 00:26:30,685 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_109.pth was removed +2025-07-02 00:26:30,845 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-07-02 00:26:30,845 - pyskl - INFO - Best top1_acc is 0.9752 at 112 epoch. +2025-07-02 00:26:30,847 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9752, top5_acc: 0.9971 +2025-07-02 00:27:12,588 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:44:56, time: 0.417, data_time: 0.237, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0952, loss: 0.0952 +2025-07-02 00:27:30,590 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:44:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9956, loss_cls: 0.1049, loss: 0.1049 +2025-07-02 00:27:48,445 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:44:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1224, loss: 0.1224 +2025-07-02 00:28:06,405 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:44:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 00:28:23,896 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:43:41, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0856, loss: 0.0856 +2025-07-02 00:28:41,320 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:43:22, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1152, loss: 0.1152 +2025-07-02 00:28:59,393 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:43:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 00:29:17,387 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:42:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1285, loss: 0.1285 +2025-07-02 00:29:35,546 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 00:30:12,995 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:30:13,023 - pyskl - INFO - +top1_acc 0.9716 +top5_acc 0.9979 +2025-07-02 00:30:13,024 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9716, top5_acc: 0.9979 +2025-07-02 00:30:56,223 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:42:10, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0999, loss: 0.0999 +2025-07-02 00:31:14,312 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:41:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1071, loss: 0.1071 +2025-07-02 00:31:32,023 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:41:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0853, loss: 0.0853 +2025-07-02 00:31:49,921 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:41:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1078, loss: 0.1078 +2025-07-02 00:32:07,448 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:40:55, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0942, loss: 0.0942 +2025-07-02 00:32:24,879 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:40:37, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 00:32:42,659 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:40:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 00:33:00,606 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:39:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1270, loss: 0.1270 +2025-07-02 00:33:18,896 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 00:33:55,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:33:55,917 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9969 +2025-07-02 00:33:55,919 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9726, top5_acc: 0.9969 +2025-07-02 00:34:38,288 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:39:24, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.1021, loss: 0.1021 +2025-07-02 00:34:56,289 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:39:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 00:35:14,967 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:38:47, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0884, loss: 0.0884 +2025-07-02 00:35:32,967 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:38:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.0994, loss: 0.0994 +2025-07-02 00:35:50,852 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:38:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 00:36:08,736 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:37:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1112, loss: 0.1112 +2025-07-02 00:36:26,425 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:37:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0886, loss: 0.0886 +2025-07-02 00:36:44,208 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:37:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 00:37:02,497 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 00:37:39,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:37:39,744 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9965 +2025-07-02 00:37:39,745 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9750, top5_acc: 0.9965 +2025-07-02 00:38:21,707 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:36:39, time: 0.420, data_time: 0.242, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 00:38:39,331 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:36:20, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0885, loss: 0.0885 +2025-07-02 00:38:56,994 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:36:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0810, loss: 0.0810 +2025-07-02 00:39:14,847 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:35:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 00:39:32,554 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:35:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.0890, loss: 0.0890 +2025-07-02 00:39:50,050 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:35:05, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 00:40:07,717 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:34:46, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 00:40:25,252 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:34:27, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.0996, loss: 0.0996 +2025-07-02 00:40:43,108 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 00:41:20,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:41:20,494 - pyskl - INFO - +top1_acc 0.9743 +top5_acc 0.9974 +2025-07-02 00:41:20,495 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9743, top5_acc: 0.9974 +2025-07-02 00:42:02,537 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:33:52, time: 0.420, data_time: 0.242, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 00:42:20,564 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:33:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0802, loss: 0.0802 +2025-07-02 00:42:38,673 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:33:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 00:42:56,464 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:32:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.0870, loss: 0.0870 +2025-07-02 00:43:14,274 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:32:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0769, loss: 0.0769 +2025-07-02 00:43:32,133 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:32:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 00:43:50,015 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:32:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.0982, loss: 0.0982 +2025-07-02 00:44:07,803 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:31:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1015, loss: 0.1015 +2025-07-02 00:44:25,870 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 00:45:03,067 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:45:03,095 - pyskl - INFO - +top1_acc 0.9766 +top5_acc 0.9967 +2025-07-02 00:45:03,100 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_112.pth was removed +2025-07-02 00:45:03,269 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2025-07-02 00:45:03,270 - pyskl - INFO - Best top1_acc is 0.9766 at 117 epoch. +2025-07-02 00:45:03,271 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9766, top5_acc: 0.9967 +2025-07-02 00:45:45,737 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:31:06, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0951, loss: 0.0951 +2025-07-02 00:46:03,512 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:30:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 0.1133, loss: 0.1133 +2025-07-02 00:46:21,493 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:30:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 00:46:39,247 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:30:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1068, loss: 0.1068 +2025-07-02 00:46:57,232 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:29:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0884, loss: 0.0884 +2025-07-02 00:47:15,241 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:29:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 00:47:33,231 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:29:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9962, loss_cls: 0.0973, loss: 0.0973 +2025-07-02 00:47:51,161 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:28:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0815, loss: 0.0815 +2025-07-02 00:48:09,256 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 00:48:46,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:48:46,715 - pyskl - INFO - +top1_acc 0.9718 +top5_acc 0.9976 +2025-07-02 00:48:46,716 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9718, top5_acc: 0.9976 +2025-07-02 00:49:28,319 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:28:20, time: 0.416, data_time: 0.238, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0655, loss: 0.0655 +2025-07-02 00:49:46,292 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:28:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0780, loss: 0.0780 +2025-07-02 00:50:04,282 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:27:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 00:50:21,964 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:27:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0911, loss: 0.0911 +2025-07-02 00:50:39,940 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:27:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0651, loss: 0.0651 +2025-07-02 00:50:57,366 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:26:47, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0608, loss: 0.0608 +2025-07-02 00:51:15,521 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:26:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1265, loss: 0.1265 +2025-07-02 00:51:33,092 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:26:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 00:51:51,230 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 00:52:28,778 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:52:28,807 - pyskl - INFO - +top1_acc 0.9713 +top5_acc 0.9971 +2025-07-02 00:52:28,809 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9713, top5_acc: 0.9971 +2025-07-02 00:53:10,908 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:25:34, time: 0.421, data_time: 0.244, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0958, loss: 0.0958 +2025-07-02 00:53:28,412 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:25:16, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0846, loss: 0.0846 +2025-07-02 00:53:46,479 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:24:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 00:54:04,462 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:24:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0618, loss: 0.0618 +2025-07-02 00:54:22,197 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:24:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0787, loss: 0.0787 +2025-07-02 00:54:39,650 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:01, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 00:54:57,198 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:23:42, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 00:55:15,015 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:23:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 00:55:33,286 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 00:56:10,333 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:56:10,361 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9968 +2025-07-02 00:56:10,362 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9745, top5_acc: 0.9968 +2025-07-02 00:56:52,321 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:22:48, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 00:57:10,108 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:22:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0666, loss: 0.0666 +2025-07-02 00:57:27,983 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:22:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 00:57:46,128 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:21:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0724, loss: 0.0724 +2025-07-02 00:58:04,272 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:21:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 00:58:22,033 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:21:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0633, loss: 0.0633 +2025-07-02 00:58:39,313 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:20:56, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 00:58:57,217 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:20:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 00:59:15,282 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 00:59:52,939 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:59:52,969 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9972 +2025-07-02 00:59:52,971 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9758, top5_acc: 0.9972 +2025-07-02 01:00:35,400 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:02, time: 0.424, data_time: 0.246, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0858, loss: 0.0858 +2025-07-02 01:00:52,985 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:19:43, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 01:01:10,688 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:19:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 01:01:28,671 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:19:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 01:01:46,770 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:18:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 01:02:04,439 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:18:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 01:02:21,888 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:18:10, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0671, loss: 0.0671 +2025-07-02 01:02:39,594 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:17:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 01:02:57,802 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 01:03:35,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:03:35,373 - pyskl - INFO - +top1_acc 0.9730 +top5_acc 0.9971 +2025-07-02 01:03:35,374 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9730, top5_acc: 0.9971 +2025-07-02 01:04:17,196 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:17:16, time: 0.418, data_time: 0.238, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0972, loss: 0.0972 +2025-07-02 01:04:34,723 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:16:57, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 01:04:52,593 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:16:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 01:05:10,395 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:16:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 01:05:28,741 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0605, loss: 0.0605 +2025-07-02 01:05:46,814 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:15:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 01:06:04,488 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:15:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0833, loss: 0.0833 +2025-07-02 01:06:22,399 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 01:06:40,735 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 01:07:18,097 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:07:18,121 - pyskl - INFO - +top1_acc 0.9755 +top5_acc 0.9972 +2025-07-02 01:07:18,122 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9755, top5_acc: 0.9972 +2025-07-02 01:08:00,152 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:14:30, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0605, loss: 0.0605 +2025-07-02 01:08:17,978 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:14:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 01:08:35,748 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:13:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 01:08:53,533 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:13:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 01:09:11,393 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:13:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0639, loss: 0.0639 +2025-07-02 01:09:29,182 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:12:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 01:09:46,771 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:12:38, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 01:10:04,445 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:12:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0770, loss: 0.0770 +2025-07-02 01:10:22,400 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 01:10:59,956 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:10:59,979 - pyskl - INFO - +top1_acc 0.9766 +top5_acc 0.9975 +2025-07-02 01:10:59,980 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9766, top5_acc: 0.9975 +2025-07-02 01:11:41,961 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:11:44, time: 0.420, data_time: 0.236, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9969, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 01:11:59,683 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:11:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0750, loss: 0.0750 +2025-07-02 01:12:17,598 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0713, loss: 0.0713 +2025-07-02 01:12:35,328 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:10:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 01:12:53,288 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:10:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0769, loss: 0.0769 +2025-07-02 01:13:11,260 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 01:13:29,027 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:09:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 01:13:46,540 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:09:33, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 01:14:04,514 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 01:14:41,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:14:42,016 - pyskl - INFO - +top1_acc 0.9772 +top5_acc 0.9974 +2025-07-02 01:14:42,020 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_117.pth was removed +2025-07-02 01:14:42,184 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2025-07-02 01:14:42,184 - pyskl - INFO - Best top1_acc is 0.9772 at 125 epoch. +2025-07-02 01:14:42,186 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9772, top5_acc: 0.9974 +2025-07-02 01:15:23,928 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:08:57, time: 0.417, data_time: 0.236, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 01:15:41,482 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:08:39, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 01:15:59,256 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:08:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 01:16:17,099 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 01:16:35,155 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:07:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 01:16:53,088 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:07:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 01:17:11,052 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 01:17:28,786 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:06:47, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 01:17:46,888 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 01:18:23,922 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:18:23,950 - pyskl - INFO - +top1_acc 0.9772 +top5_acc 0.9974 +2025-07-02 01:18:23,951 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9772, top5_acc: 0.9974 +2025-07-02 01:19:06,925 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:11, time: 0.430, data_time: 0.249, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 01:19:24,842 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:05:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 01:19:42,505 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:05:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 01:20:00,309 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:05:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 01:20:18,246 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:04:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 01:20:36,017 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:04:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0479, loss: 0.0479 +2025-07-02 01:20:53,836 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:04:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0685, loss: 0.0685 +2025-07-02 01:21:11,626 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 01:21:30,041 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 01:22:07,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:22:07,679 - pyskl - INFO - +top1_acc 0.9772 +top5_acc 0.9968 +2025-07-02 01:22:07,680 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9772, top5_acc: 0.9968 +2025-07-02 01:22:50,160 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:03:25, time: 0.425, data_time: 0.245, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 01:23:08,055 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 01:23:25,989 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:02:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 01:23:43,669 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:02:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 01:24:01,718 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 01:24:19,565 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:01:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 01:24:37,831 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:01:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 01:24:55,878 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 01:25:14,156 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 01:25:51,318 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:25:51,341 - pyskl - INFO - +top1_acc 0.9776 +top5_acc 0.9971 +2025-07-02 01:25:51,345 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_125.pth was removed +2025-07-02 01:25:51,512 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-07-02 01:25:51,512 - pyskl - INFO - Best top1_acc is 0.9776 at 128 epoch. +2025-07-02 01:25:51,514 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9776, top5_acc: 0.9971 +2025-07-02 01:26:33,926 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:00:39, time: 0.424, data_time: 0.245, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 01:26:52,073 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:00:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 01:27:10,112 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:02, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 01:27:28,091 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 0:59:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9969, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 01:27:46,167 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 0:59:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 01:28:03,974 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 01:28:22,203 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:58:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 01:28:39,696 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:58:29, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 01:28:58,059 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 01:29:35,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:29:35,457 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9972 +2025-07-02 01:29:35,458 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9752, top5_acc: 0.9972 +2025-07-02 01:30:18,153 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:57:53, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 01:30:36,198 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:57:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 01:30:53,610 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:16, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 01:31:11,145 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:56:57, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 01:31:28,919 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:56:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 01:31:46,775 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:56:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 01:32:04,735 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 01:32:22,650 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:55:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 01:32:41,035 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 01:33:18,476 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:33:18,499 - pyskl - INFO - +top1_acc 0.9762 +top5_acc 0.9972 +2025-07-02 01:33:18,500 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9762, top5_acc: 0.9972 +2025-07-02 01:34:01,264 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:07, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 01:34:19,372 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:54:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 01:34:37,241 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:54:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 01:34:54,705 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:11, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 01:35:12,460 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:53:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 01:35:30,409 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:53:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 01:35:48,379 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 01:36:06,113 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:52:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 01:36:24,485 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 01:37:01,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:37:01,791 - pyskl - INFO - +top1_acc 0.9782 +top5_acc 0.9971 +2025-07-02 01:37:01,796 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_128.pth was removed +2025-07-02 01:37:02,001 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 01:37:02,001 - pyskl - INFO - Best top1_acc is 0.9782 at 131 epoch. +2025-07-02 01:37:02,003 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9782, top5_acc: 0.9971 +2025-07-02 01:37:44,590 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:21, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 01:38:02,463 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 01:38:20,271 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:51:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 01:38:37,857 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:51:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 01:38:55,525 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 01:39:13,252 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:50:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 01:39:31,037 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:50:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 01:39:48,717 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 01:40:06,909 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 01:40:44,900 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:40:44,924 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9969 +2025-07-02 01:40:44,928 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9779, top5_acc: 0.9969 +2025-07-02 01:41:27,874 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:49:35, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 01:41:45,794 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 01:42:03,788 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:48:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 01:42:21,572 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:48:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 01:42:39,842 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 01:42:58,124 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 01:43:16,161 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:47:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 01:43:34,093 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 01:43:52,652 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 01:44:30,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:44:30,717 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9971 +2025-07-02 01:44:30,724 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_131.pth was removed +2025-07-02 01:44:30,937 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 01:44:30,937 - pyskl - INFO - Best top1_acc is 0.9801 at 133 epoch. +2025-07-02 01:44:30,940 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9801, top5_acc: 0.9971 +2025-07-02 01:45:14,173 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:46:49, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 01:45:32,084 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:46:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 01:45:49,623 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:12, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 01:46:07,382 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:45:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 01:46:25,143 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:45:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 01:46:43,125 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 01:47:00,906 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:44:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 01:47:18,706 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:44:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 01:47:36,842 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 01:48:14,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:48:14,440 - pyskl - INFO - +top1_acc 0.9800 +top5_acc 0.9969 +2025-07-02 01:48:14,441 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9800, top5_acc: 0.9969 +2025-07-02 01:48:59,057 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:03, time: 0.446, data_time: 0.265, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 01:49:17,217 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:43:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 01:49:35,031 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 01:49:52,987 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 01:50:10,605 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:42:48, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 01:50:28,615 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 01:50:46,563 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 01:51:04,138 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:41:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 01:51:22,278 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 01:52:00,408 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:52:00,436 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9972 +2025-07-02 01:52:00,438 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9794, top5_acc: 0.9972 +2025-07-02 01:52:43,508 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:17, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 01:53:01,359 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:40:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 01:53:19,347 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:40:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 01:53:36,964 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 01:53:54,603 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:02, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 01:54:12,729 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:39:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 01:54:30,632 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 01:54:48,104 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:06, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 01:55:06,268 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 01:55:43,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:55:44,020 - pyskl - INFO - +top1_acc 0.9787 +top5_acc 0.9969 +2025-07-02 01:55:44,021 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9787, top5_acc: 0.9969 +2025-07-02 01:56:26,562 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:30, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 01:56:44,466 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 01:57:02,549 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:37:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 01:57:20,302 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:37:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 01:57:38,262 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 01:57:55,984 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:36:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 01:58:13,939 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:36:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 01:58:31,884 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 01:58:49,830 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 01:59:27,749 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:59:27,772 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9969 +2025-07-02 01:59:27,773 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9801, top5_acc: 0.9969 +2025-07-02 02:00:10,580 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:35:44, time: 0.428, data_time: 0.248, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 02:00:28,092 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:26, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 02:00:45,601 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 02:01:03,404 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:34:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 02:01:20,851 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:30, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0529, loss: 0.0529 +2025-07-02 02:01:38,521 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 02:01:56,369 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:33:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 02:02:13,943 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:34, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 02:02:31,952 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 02:03:10,190 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:03:10,218 - pyskl - INFO - +top1_acc 0.9798 +top5_acc 0.9975 +2025-07-02 02:03:10,219 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9798, top5_acc: 0.9975 +2025-07-02 02:03:53,329 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:32:58, time: 0.431, data_time: 0.248, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 02:04:11,209 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:32:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 02:04:28,853 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 02:04:46,830 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:05:04,729 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:31:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0501, loss: 0.0501 +2025-07-02 02:05:22,569 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 02:05:40,938 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 02:05:58,700 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:30:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 02:06:17,179 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 02:06:54,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:06:54,710 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9974 +2025-07-02 02:06:54,711 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9790, top5_acc: 0.9974 +2025-07-02 02:07:38,116 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:12, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 02:07:56,465 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:29:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9975, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 02:08:14,300 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 02:08:32,345 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 02:08:50,224 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:28:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 02:09:08,340 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 02:09:26,458 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 02:09:44,387 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 02:10:02,620 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 02:10:39,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:10:39,828 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9975 +2025-07-02 02:10:39,830 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9795, top5_acc: 0.9975 +2025-07-02 02:11:22,580 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:25, time: 0.427, data_time: 0.248, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 02:11:40,506 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 02:11:58,227 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:26:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 02:12:15,889 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 02:12:34,038 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 02:12:52,111 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:25:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 02:13:09,825 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:13:27,797 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0257, loss: 0.0257 +2025-07-02 02:13:46,183 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 02:14:24,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:14:24,491 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9972 +2025-07-02 02:14:24,492 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9794, top5_acc: 0.9972 +2025-07-02 02:15:07,291 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:39, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 02:15:25,118 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 02:15:42,652 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:02, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 02:16:00,526 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 02:16:18,562 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 02:16:36,349 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 02:16:54,161 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:22:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 02:17:12,082 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 02:17:30,094 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 02:18:07,654 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:18:07,688 - pyskl - INFO - +top1_acc 0.9798 +top5_acc 0.9972 +2025-07-02 02:18:07,692 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9798, top5_acc: 0.9972 +2025-07-02 02:18:50,275 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:21:53, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 02:19:07,998 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:19:25,806 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 02:19:43,717 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:20:57, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 02:20:01,243 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:38, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 02:20:19,363 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:20, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 02:20:37,386 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 02:20:55,588 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:21:13,685 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 02:21:53,124 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:21:53,150 - pyskl - INFO - +top1_acc 0.9808 +top5_acc 0.9972 +2025-07-02 02:21:53,154 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_133.pth was removed +2025-07-02 02:21:53,342 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_143.pth. +2025-07-02 02:21:53,343 - pyskl - INFO - Best top1_acc is 0.9808 at 143 epoch. +2025-07-02 02:21:53,346 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9808, top5_acc: 0.9972 +2025-07-02 02:22:36,680 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:06, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 02:22:54,588 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:18:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:23:12,457 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 02:23:30,266 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0184, loss: 0.0184 +2025-07-02 02:23:47,974 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:17:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 02:24:05,560 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:33, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 02:24:23,407 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 02:24:41,441 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:16:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 02:24:59,338 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 02:25:37,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:25:37,225 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9972 +2025-07-02 02:25:37,226 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9801, top5_acc: 0.9972 +2025-07-02 02:26:20,301 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:20, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 02:26:38,103 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 02:26:55,891 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 02:27:13,703 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 02:27:32,303 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:06, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 02:27:50,053 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:47, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 02:28:08,071 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 02:28:26,173 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:28:44,546 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 02:29:22,446 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:29:22,474 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9971 +2025-07-02 02:29:22,475 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9795, top5_acc: 0.9971 +2025-07-02 02:30:05,742 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:33, time: 0.433, data_time: 0.246, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 02:30:23,598 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 02:30:41,135 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:12:56, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 02:30:58,750 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:38, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 02:31:16,572 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 02:31:34,458 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 02:31:52,743 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 02:32:11,099 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 02:32:29,013 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 02:33:07,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:33:07,122 - pyskl - INFO - +top1_acc 0.9805 +top5_acc 0.9971 +2025-07-02 02:33:07,123 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9805, top5_acc: 0.9971 +2025-07-02 02:33:50,402 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:47, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 02:34:08,958 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:28, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 02:34:26,873 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0248, loss: 0.0248 +2025-07-02 02:34:45,039 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 02:35:02,794 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0162, loss: 0.0162 +2025-07-02 02:35:20,593 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 02:35:38,709 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:08:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 02:35:56,683 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 02:36:14,993 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 02:36:52,561 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:36:52,586 - pyskl - INFO - +top1_acc 0.9805 +top5_acc 0.9972 +2025-07-02 02:36:52,587 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9805, top5_acc: 0.9972 +2025-07-02 02:37:36,019 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:01, time: 0.434, data_time: 0.251, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 02:37:53,871 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 02:38:11,590 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 02:38:29,155 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 02:38:46,661 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:46, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 02:39:04,297 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 02:39:21,960 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 02:39:39,926 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 02:39:57,702 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 02:40:34,906 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:40:34,929 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9974 +2025-07-02 02:40:34,930 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9794, top5_acc: 0.9974 +2025-07-02 02:41:17,934 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:14, time: 0.430, data_time: 0.249, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 02:41:35,679 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 02:41:53,375 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0179, loss: 0.0179 +2025-07-02 02:42:11,050 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 02:42:28,680 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 1.0000, top5_acc: 1.0000, loss_cls: 0.0101, loss: 0.0101 +2025-07-02 02:42:46,257 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 02:43:04,159 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 02:43:22,303 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0189, loss: 0.0189 +2025-07-02 02:43:40,160 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 02:44:18,120 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:44:18,149 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9975 +2025-07-02 02:44:18,150 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9793, top5_acc: 0.9975 +2025-07-02 02:45:01,027 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:27, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 02:45:18,765 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:45:36,317 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:50, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0160, loss: 0.0160 +2025-07-02 02:45:54,189 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 02:46:11,893 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 02:46:29,482 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 02:46:47,187 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0210, loss: 0.0210 +2025-07-02 02:47:05,105 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 02:47:22,997 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 02:48:02,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:48:02,854 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9975 +2025-07-02 02:48:02,855 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9802, top5_acc: 0.9975 +2025-07-02 02:48:11,289 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 02:51:50,297 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 02:51:50,298 - pyskl - INFO - top1_acc: 0.9795 +2025-07-02 02:51:50,298 - pyskl - INFO - top5_acc: 0.9976 +2025-07-02 02:51:50,299 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/b_2/best_top1_acc_epoch_143.pth +2025-07-02 02:55:23,817 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 02:55:23,817 - pyskl - INFO - top1_acc: 0.9801 +2025-07-02 02:55:23,817 - pyskl - INFO - top5_acc: 0.9975 diff --git a/pku_mmd_xview/b_2/20250701_173309.log.json b/pku_mmd_xview/b_2/20250701_173309.log.json new file mode 100644 index 0000000000000000000000000000000000000000..7a988bc734b5c37a25e41f92165237c6b4835b83 --- /dev/null +++ b/pku_mmd_xview/b_2/20250701_173309.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers 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150, "iter": 450, "lr": 0.0, "top1_acc": 0.98024, "top5_acc": 0.9975} diff --git a/pku_mmd_xview/b_2/b_2.py b/pku_mmd_xview/b_2/b_2.py new file mode 100644 index 0000000000000000000000000000000000000000..68cf0d05a6bd19d16c1b0356f890f21f6f07a8eb --- /dev/null +++ b/pku_mmd_xview/b_2/b_2.py @@ -0,0 +1,98 @@ +modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/b_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/b_2/best_pred.pkl b/pku_mmd_xview/b_2/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..9b8bf00c4d2ef5cf3516fbcb008a1fbca2445a63 --- /dev/null +++ b/pku_mmd_xview/b_2/best_pred.pkl @@ -0,0 +1,3 @@ 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3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-01 17:32:41,800 - pyskl - INFO - Config: modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/b_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-01 17:32:41,800 - pyskl - INFO - Set random seed to 1879139395, deterministic: False +2025-07-01 17:32:46,089 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-01 17:32:52,914 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-01 17:32:52,915 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3 +2025-07-01 17:32:52,915 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-01 17:32:52,915 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-01 17:32:52,916 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3 by HardDiskBackend. +2025-07-01 17:33:31,781 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 14:31:48, time: 0.389, data_time: 0.217, memory: 2902, top1_acc: 0.0669, top5_acc: 0.2112, loss_cls: 4.3071, loss: 4.3071 +2025-07-01 17:33:48,458 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:22:28, time: 0.167, data_time: 0.000, memory: 2902, top1_acc: 0.1094, top5_acc: 0.3475, loss_cls: 3.9758, loss: 3.9758 +2025-07-01 17:34:05,642 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:02:58, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.1644, top5_acc: 0.4875, loss_cls: 3.5883, loss: 3.5883 +2025-07-01 17:34:22,814 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:23:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.2369, top5_acc: 0.5869, loss_cls: 3.1583, loss: 3.1583 +2025-07-01 17:34:40,026 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 7:59:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.2869, top5_acc: 0.6925, loss_cls: 2.9025, loss: 2.9025 +2025-07-01 17:34:57,117 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:42:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.3281, top5_acc: 0.7419, loss_cls: 2.6475, loss: 2.6475 +2025-07-01 17:35:14,421 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:31:26, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.3513, top5_acc: 0.7831, loss_cls: 2.5469, loss: 2.5469 +2025-07-01 17:35:31,678 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:22:51, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.3731, top5_acc: 0.8069, loss_cls: 2.4723, loss: 2.4723 +2025-07-01 17:35:49,217 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-01 17:36:26,988 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:36:27,012 - pyskl - INFO - +top1_acc 0.3871 +top5_acc 0.8514 +2025-07-01 17:36:27,184 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-01 17:36:27,184 - pyskl - INFO - Best top1_acc is 0.3871 at 1 epoch. +2025-07-01 17:36:27,186 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.3871, top5_acc: 0.8514 +2025-07-01 17:37:08,125 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:25:51, time: 0.409, data_time: 0.236, memory: 2902, top1_acc: 0.4188, top5_acc: 0.8438, loss_cls: 2.2683, loss: 2.2683 +2025-07-01 17:37:25,379 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:19:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.4631, top5_acc: 0.8706, loss_cls: 2.0926, loss: 2.0926 +2025-07-01 17:37:42,616 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:14:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.4919, top5_acc: 0.8844, loss_cls: 2.0430, loss: 2.0430 +2025-07-01 17:37:59,865 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:10:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5162, top5_acc: 0.8962, loss_cls: 1.9442, loss: 1.9442 +2025-07-01 17:38:17,056 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:06:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5344, top5_acc: 0.9031, loss_cls: 1.9440, loss: 1.9440 +2025-07-01 17:38:34,078 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:03:18, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.5719, top5_acc: 0.9275, loss_cls: 1.7609, loss: 1.7609 +2025-07-01 17:38:51,315 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:00:26, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5969, top5_acc: 0.9163, loss_cls: 1.7251, loss: 1.7251 +2025-07-01 17:39:08,648 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 6:58:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5900, top5_acc: 0.9225, loss_cls: 1.7101, loss: 1.7101 +2025-07-01 17:39:26,317 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-01 17:40:04,382 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:40:04,407 - pyskl - INFO - +top1_acc 0.6665 +top5_acc 0.9553 +2025-07-01 17:40:04,413 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_1.pth was removed +2025-07-01 17:40:04,586 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-01 17:40:04,586 - pyskl - INFO - Best top1_acc is 0.6665 at 2 epoch. +2025-07-01 17:40:04,588 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.6665, top5_acc: 0.9553 +2025-07-01 17:40:45,789 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:01:53, time: 0.412, data_time: 0.239, memory: 2902, top1_acc: 0.6238, top5_acc: 0.9325, loss_cls: 1.6179, loss: 1.6179 +2025-07-01 17:41:03,205 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 6:59:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6369, top5_acc: 0.9419, loss_cls: 1.5100, loss: 1.5100 +2025-07-01 17:41:20,618 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 6:57:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6606, top5_acc: 0.9387, loss_cls: 1.4857, loss: 1.4857 +2025-07-01 17:41:38,278 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 6:56:13, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6631, top5_acc: 0.9469, loss_cls: 1.4498, loss: 1.4498 +2025-07-01 17:41:55,745 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 6:54:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6525, top5_acc: 0.9456, loss_cls: 1.5115, loss: 1.5115 +2025-07-01 17:42:13,083 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:52:55, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6763, top5_acc: 0.9394, loss_cls: 1.4395, loss: 1.4395 +2025-07-01 17:42:30,571 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:51:31, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6581, top5_acc: 0.9506, loss_cls: 1.4530, loss: 1.4530 +2025-07-01 17:42:48,089 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:50:13, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7006, top5_acc: 0.9550, loss_cls: 1.3319, loss: 1.3319 +2025-07-01 17:43:06,071 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-01 17:43:43,642 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:43:43,670 - pyskl - INFO - +top1_acc 0.7441 +top5_acc 0.9712 +2025-07-01 17:43:43,674 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_2.pth was removed +2025-07-01 17:43:43,837 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-01 17:43:43,837 - pyskl - INFO - Best top1_acc is 0.7441 at 3 epoch. +2025-07-01 17:43:43,839 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7441, top5_acc: 0.9712 +2025-07-01 17:44:25,696 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:53:31, time: 0.419, data_time: 0.242, memory: 2902, top1_acc: 0.6994, top5_acc: 0.9519, loss_cls: 1.3463, loss: 1.3463 +2025-07-01 17:44:43,271 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:52:16, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7019, top5_acc: 0.9544, loss_cls: 1.3161, loss: 1.3161 +2025-07-01 17:45:00,616 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:50:54, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7231, top5_acc: 0.9487, loss_cls: 1.3208, loss: 1.3208 +2025-07-01 17:45:18,316 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:49:52, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7194, top5_acc: 0.9544, loss_cls: 1.2906, loss: 1.2906 +2025-07-01 17:45:35,873 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:48:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7306, top5_acc: 0.9656, loss_cls: 1.2445, loss: 1.2445 +2025-07-01 17:45:53,296 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:47:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7356, top5_acc: 0.9581, loss_cls: 1.2393, loss: 1.2393 +2025-07-01 17:46:10,735 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:46:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7369, top5_acc: 0.9581, loss_cls: 1.2036, loss: 1.2036 +2025-07-01 17:46:28,039 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:45:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7431, top5_acc: 0.9606, loss_cls: 1.1650, loss: 1.1650 +2025-07-01 17:46:45,947 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-01 17:47:23,131 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:47:23,153 - pyskl - INFO - +top1_acc 0.6940 +top5_acc 0.9690 +2025-07-01 17:47:23,154 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.6940, top5_acc: 0.9690 +2025-07-01 17:48:03,660 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:47:06, time: 0.405, data_time: 0.232, memory: 2902, top1_acc: 0.7344, top5_acc: 0.9600, loss_cls: 1.1895, loss: 1.1895 +2025-07-01 17:48:20,949 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:46:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7462, top5_acc: 0.9725, loss_cls: 1.1606, loss: 1.1606 +2025-07-01 17:48:38,189 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:44:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7281, top5_acc: 0.9563, loss_cls: 1.2480, loss: 1.2480 +2025-07-01 17:48:55,490 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:43:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7656, top5_acc: 0.9738, loss_cls: 1.1355, loss: 1.1355 +2025-07-01 17:49:12,751 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:42:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7481, top5_acc: 0.9725, loss_cls: 1.1144, loss: 1.1144 +2025-07-01 17:49:29,809 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:41:53, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7519, top5_acc: 0.9606, loss_cls: 1.1699, loss: 1.1699 +2025-07-01 17:49:47,110 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:40:58, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7444, top5_acc: 0.9575, loss_cls: 1.1559, loss: 1.1559 +2025-07-01 17:50:04,598 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:40:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7738, top5_acc: 0.9712, loss_cls: 1.0954, loss: 1.0954 +2025-07-01 17:50:22,140 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-01 17:51:00,013 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:51:00,042 - pyskl - INFO - +top1_acc 0.7994 +top5_acc 0.9815 +2025-07-01 17:51:00,047 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_3.pth was removed +2025-07-01 17:51:00,243 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-01 17:51:00,243 - pyskl - INFO - Best top1_acc is 0.7994 at 5 epoch. +2025-07-01 17:51:00,245 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.7994, top5_acc: 0.9815 +2025-07-01 17:51:41,903 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:42:01, time: 0.417, data_time: 0.242, memory: 2902, top1_acc: 0.7775, top5_acc: 0.9688, loss_cls: 1.0467, loss: 1.0467 +2025-07-01 17:51:59,385 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:41:13, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7400, top5_acc: 0.9669, loss_cls: 1.1617, loss: 1.1617 +2025-07-01 17:52:16,690 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:40:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7631, top5_acc: 0.9681, loss_cls: 1.0858, loss: 1.0858 +2025-07-01 17:52:34,032 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:39:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9688, loss_cls: 1.0471, loss: 1.0471 +2025-07-01 17:52:51,410 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:38:46, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7744, top5_acc: 0.9750, loss_cls: 1.0234, loss: 1.0234 +2025-07-01 17:53:08,763 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:38:00, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7706, top5_acc: 0.9744, loss_cls: 1.0293, loss: 1.0293 +2025-07-01 17:53:26,122 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:37:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7875, top5_acc: 0.9738, loss_cls: 0.9966, loss: 0.9966 +2025-07-01 17:53:43,541 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:36:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9744, loss_cls: 1.0168, loss: 1.0168 +2025-07-01 17:54:01,370 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-01 17:54:39,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:54:39,467 - pyskl - INFO - +top1_acc 0.7168 +top5_acc 0.9699 +2025-07-01 17:54:39,468 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.7168, top5_acc: 0.9699 +2025-07-01 17:55:20,938 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:37:55, time: 0.415, data_time: 0.241, memory: 2902, top1_acc: 0.7544, top5_acc: 0.9706, loss_cls: 1.0891, loss: 1.0891 +2025-07-01 17:55:38,221 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:37:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9725, loss_cls: 1.0089, loss: 1.0089 +2025-07-01 17:55:55,455 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:36:23, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7819, top5_acc: 0.9731, loss_cls: 0.9987, loss: 0.9987 +2025-07-01 17:56:13,004 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:35:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9750, loss_cls: 1.0150, loss: 1.0150 +2025-07-01 17:56:30,339 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:35:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7812, top5_acc: 0.9750, loss_cls: 0.9866, loss: 0.9866 +2025-07-01 17:56:47,741 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:34:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9694, loss_cls: 0.9948, loss: 0.9948 +2025-07-01 17:57:04,803 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:33:36, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9681, loss_cls: 1.0184, loss: 1.0184 +2025-07-01 17:57:22,097 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:32:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7956, top5_acc: 0.9681, loss_cls: 1.0169, loss: 1.0169 +2025-07-01 17:57:39,944 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-01 17:58:17,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:58:17,497 - pyskl - INFO - +top1_acc 0.8222 +top5_acc 0.9857 +2025-07-01 17:58:17,501 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_5.pth was removed +2025-07-01 17:58:17,673 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-01 17:58:17,673 - pyskl - INFO - Best top1_acc is 0.8222 at 7 epoch. +2025-07-01 17:58:17,675 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8222, top5_acc: 0.9857 +2025-07-01 17:58:58,799 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:33:56, time: 0.411, data_time: 0.236, memory: 2902, top1_acc: 0.7969, top5_acc: 0.9712, loss_cls: 0.9904, loss: 0.9904 +2025-07-01 17:59:16,024 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:33:14, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9731, loss_cls: 0.9248, loss: 0.9248 +2025-07-01 17:59:33,290 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:32:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9738, loss_cls: 0.9303, loss: 0.9303 +2025-07-01 17:59:50,900 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:32:00, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9750, loss_cls: 0.9358, loss: 0.9358 +2025-07-01 18:00:08,204 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:31:21, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9681, loss_cls: 1.0037, loss: 1.0037 +2025-07-01 18:00:25,598 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:30:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9600, loss_cls: 1.0078, loss: 1.0078 +2025-07-01 18:00:42,845 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:30:07, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9762, loss_cls: 0.8815, loss: 0.8815 +2025-07-01 18:01:00,172 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:29:30, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7950, top5_acc: 0.9756, loss_cls: 0.9462, loss: 0.9462 +2025-07-01 18:01:18,030 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-01 18:01:55,219 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:01:55,243 - pyskl - INFO - +top1_acc 0.8645 +top5_acc 0.9861 +2025-07-01 18:01:55,248 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_7.pth was removed +2025-07-01 18:01:55,445 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-01 18:01:55,445 - pyskl - INFO - Best top1_acc is 0.8645 at 8 epoch. +2025-07-01 18:01:55,447 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8645, top5_acc: 0.9861 +2025-07-01 18:02:36,971 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:30:26, time: 0.415, data_time: 0.241, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9750, loss_cls: 0.8786, loss: 0.8786 +2025-07-01 18:02:54,697 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:29:56, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9725, loss_cls: 0.9161, loss: 0.9161 +2025-07-01 18:03:12,138 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:29:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8025, top5_acc: 0.9750, loss_cls: 0.9152, loss: 0.9152 +2025-07-01 18:03:29,729 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:28:50, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9756, loss_cls: 0.8837, loss: 0.8837 +2025-07-01 18:03:47,137 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:28:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9681, loss_cls: 0.9115, loss: 0.9115 +2025-07-01 18:04:04,520 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:27:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8006, top5_acc: 0.9788, loss_cls: 0.9422, loss: 0.9422 +2025-07-01 18:04:21,775 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:27:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8050, top5_acc: 0.9731, loss_cls: 0.9341, loss: 0.9341 +2025-07-01 18:04:39,011 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:26:31, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9725, loss_cls: 0.8764, loss: 0.8764 +2025-07-01 18:04:57,005 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-01 18:05:34,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:05:34,762 - pyskl - INFO - +top1_acc 0.8532 +top5_acc 0.9872 +2025-07-01 18:05:34,763 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8532, top5_acc: 0.9872 +2025-07-01 18:06:15,720 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:27:08, time: 0.410, data_time: 0.236, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9756, loss_cls: 0.9109, loss: 0.9109 +2025-07-01 18:06:33,118 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:26:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9775, loss_cls: 0.8933, loss: 0.8933 +2025-07-01 18:06:50,569 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:26:03, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9706, loss_cls: 0.8744, loss: 0.8744 +2025-07-01 18:07:07,992 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:25:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9800, loss_cls: 0.8370, loss: 0.8370 +2025-07-01 18:07:25,309 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:24:58, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9719, loss_cls: 0.9095, loss: 0.9095 +2025-07-01 18:07:42,420 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:24:22, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9788, loss_cls: 0.8108, loss: 0.8108 +2025-07-01 18:07:59,475 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:23:46, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8244, top5_acc: 0.9819, loss_cls: 0.8296, loss: 0.8296 +2025-07-01 18:08:17,002 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:23:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9806, loss_cls: 0.7985, loss: 0.7985 +2025-07-01 18:08:34,879 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-01 18:09:11,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:09:12,010 - pyskl - INFO - +top1_acc 0.8197 +top5_acc 0.9841 +2025-07-01 18:09:12,011 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8197, top5_acc: 0.9841 +2025-07-01 18:09:52,663 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:23:42, time: 0.406, data_time: 0.231, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7371, loss: 0.7371 +2025-07-01 18:10:09,958 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:23:10, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9788, loss_cls: 0.8267, loss: 0.8267 +2025-07-01 18:10:27,274 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:22:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9781, loss_cls: 0.8107, loss: 0.8107 +2025-07-01 18:10:44,946 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:22:11, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9738, loss_cls: 0.8351, loss: 0.8351 +2025-07-01 18:11:02,100 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:21:38, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9738, loss_cls: 0.8525, loss: 0.8525 +2025-07-01 18:11:19,308 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:21:05, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9744, loss_cls: 0.8362, loss: 0.8362 +2025-07-01 18:11:36,577 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:20:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9775, loss_cls: 0.8615, loss: 0.8615 +2025-07-01 18:11:54,057 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:20:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 0.8247, loss: 0.8247 +2025-07-01 18:12:11,427 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-01 18:12:48,905 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:12:48,935 - pyskl - INFO - +top1_acc 0.8808 +top5_acc 0.9907 +2025-07-01 18:12:48,939 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_8.pth was removed +2025-07-01 18:12:49,141 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-01 18:12:49,142 - pyskl - INFO - Best top1_acc is 0.8808 at 11 epoch. +2025-07-01 18:12:49,143 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8808, top5_acc: 0.9907 +2025-07-01 18:13:30,823 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:20:39, time: 0.417, data_time: 0.241, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9850, loss_cls: 0.7501, loss: 0.7501 +2025-07-01 18:13:48,422 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:20:12, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9806, loss_cls: 0.8416, loss: 0.8416 +2025-07-01 18:14:05,742 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:19:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 0.8022, loss: 0.8022 +2025-07-01 18:14:23,065 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:19:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9825, loss_cls: 0.7882, loss: 0.7882 +2025-07-01 18:14:40,331 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:18:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 0.6912, loss: 0.6912 +2025-07-01 18:14:57,602 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:18:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9838, loss_cls: 0.8192, loss: 0.8192 +2025-07-01 18:15:14,815 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:17:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9800, loss_cls: 0.8162, loss: 0.8162 +2025-07-01 18:15:32,053 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:17:10, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8175, top5_acc: 0.9725, loss_cls: 0.8550, loss: 0.8550 +2025-07-01 18:15:49,669 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-01 18:16:27,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:16:27,577 - pyskl - INFO - +top1_acc 0.8689 +top5_acc 0.9865 +2025-07-01 18:16:27,579 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8689, top5_acc: 0.9865 +2025-07-01 18:17:08,262 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:17:25, time: 0.407, data_time: 0.234, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9838, loss_cls: 0.8057, loss: 0.8057 +2025-07-01 18:17:25,815 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:16:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9788, loss_cls: 0.7648, loss: 0.7648 +2025-07-01 18:17:43,300 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:16:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 0.6838, loss: 0.6838 +2025-07-01 18:18:00,733 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:16:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 0.7856, loss: 0.7856 +2025-07-01 18:18:18,174 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:15:37, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9812, loss_cls: 0.7614, loss: 0.7614 +2025-07-01 18:18:35,613 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:15:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9856, loss_cls: 0.7807, loss: 0.7807 +2025-07-01 18:18:52,886 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:14:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9756, loss_cls: 0.8348, loss: 0.8348 +2025-07-01 18:19:10,301 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:14:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9762, loss_cls: 0.7850, loss: 0.7850 +2025-07-01 18:19:28,123 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-01 18:20:05,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:20:05,946 - pyskl - INFO - +top1_acc 0.8784 +top5_acc 0.9901 +2025-07-01 18:20:05,948 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8784, top5_acc: 0.9901 +2025-07-01 18:20:47,152 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:14:31, time: 0.412, data_time: 0.237, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9862, loss_cls: 0.7637, loss: 0.7637 +2025-07-01 18:21:04,793 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:14:06, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 0.6881, loss: 0.6881 +2025-07-01 18:21:22,248 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:13:39, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.7526, loss: 0.7526 +2025-07-01 18:21:39,585 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:13:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 0.7313, loss: 0.7313 +2025-07-01 18:21:56,973 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:12:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9750, loss_cls: 0.8121, loss: 0.8121 +2025-07-01 18:22:14,426 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:12:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 0.7033, loss: 0.7033 +2025-07-01 18:22:31,449 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:11:48, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9794, loss_cls: 0.7828, loss: 0.7828 +2025-07-01 18:22:48,878 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:11:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9825, loss_cls: 0.7151, loss: 0.7151 +2025-07-01 18:23:06,617 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-01 18:23:44,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:23:44,761 - pyskl - INFO - +top1_acc 0.8771 +top5_acc 0.9890 +2025-07-01 18:23:44,762 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8771, top5_acc: 0.9890 +2025-07-01 18:24:26,355 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:11:38, time: 0.416, data_time: 0.242, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9788, loss_cls: 0.7346, loss: 0.7346 +2025-07-01 18:24:43,795 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:11:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9875, loss_cls: 0.7107, loss: 0.7107 +2025-07-01 18:25:01,350 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:10:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9812, loss_cls: 0.7582, loss: 0.7582 +2025-07-01 18:25:18,519 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:10:19, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9762, loss_cls: 0.7672, loss: 0.7672 +2025-07-01 18:25:35,894 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:09:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9819, loss_cls: 0.7818, loss: 0.7818 +2025-07-01 18:25:53,574 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:09:29, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9819, loss_cls: 0.7547, loss: 0.7547 +2025-07-01 18:26:11,105 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:09:04, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9744, loss_cls: 0.7866, loss: 0.7866 +2025-07-01 18:26:28,700 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:08:40, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9844, loss_cls: 0.6790, loss: 0.6790 +2025-07-01 18:26:46,476 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-01 18:27:24,794 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:27:24,823 - pyskl - INFO - +top1_acc 0.8735 +top5_acc 0.9915 +2025-07-01 18:27:24,825 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8735, top5_acc: 0.9915 +2025-07-01 18:28:06,263 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:08:51, time: 0.414, data_time: 0.239, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 0.6811, loss: 0.6811 +2025-07-01 18:28:23,617 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:08:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 0.7062, loss: 0.7062 +2025-07-01 18:28:41,151 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:08:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 0.6918, loss: 0.6918 +2025-07-01 18:28:58,492 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:07:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 0.7146, loss: 0.7146 +2025-07-01 18:29:16,233 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:07:11, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9806, loss_cls: 0.7662, loss: 0.7662 +2025-07-01 18:29:33,824 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:06:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9788, loss_cls: 0.7190, loss: 0.7190 +2025-07-01 18:29:51,341 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:06:23, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9844, loss_cls: 0.6812, loss: 0.6812 +2025-07-01 18:30:08,999 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:06:00, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.7263, loss: 0.7263 +2025-07-01 18:30:26,958 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-01 18:31:04,711 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:31:04,749 - pyskl - INFO - +top1_acc 0.8536 +top5_acc 0.9844 +2025-07-01 18:31:04,750 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8536, top5_acc: 0.9844 +2025-07-01 18:31:46,782 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:06:13, time: 0.420, data_time: 0.239, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9875, loss_cls: 0.7241, loss: 0.7241 +2025-07-01 18:32:04,282 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:05:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9788, loss_cls: 0.7407, loss: 0.7407 +2025-07-01 18:32:21,575 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:05:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9838, loss_cls: 0.6926, loss: 0.6926 +2025-07-01 18:32:38,902 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:04:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 0.6784, loss: 0.6784 +2025-07-01 18:32:56,476 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:04:32, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 0.6997, loss: 0.6997 +2025-07-01 18:33:13,882 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:04:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9794, loss_cls: 0.7256, loss: 0.7256 +2025-07-01 18:33:31,133 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:03:41, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9788, loss_cls: 0.6996, loss: 0.6996 +2025-07-01 18:33:48,640 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:03:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9869, loss_cls: 0.7104, loss: 0.7104 +2025-07-01 18:34:06,482 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-01 18:34:44,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:34:44,164 - pyskl - INFO - +top1_acc 0.8901 +top5_acc 0.9886 +2025-07-01 18:34:44,168 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_11.pth was removed +2025-07-01 18:34:44,332 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-07-01 18:34:44,333 - pyskl - INFO - Best top1_acc is 0.8901 at 17 epoch. +2025-07-01 18:34:44,334 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8901, top5_acc: 0.9886 +2025-07-01 18:35:26,037 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:03:24, time: 0.417, data_time: 0.238, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9806, loss_cls: 0.7110, loss: 0.7110 +2025-07-01 18:35:43,551 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:03:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9781, loss_cls: 0.6567, loss: 0.6567 +2025-07-01 18:36:01,245 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:02:38, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 0.6584, loss: 0.6584 +2025-07-01 18:36:18,674 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:02:13, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9825, loss_cls: 0.6685, loss: 0.6685 +2025-07-01 18:36:36,351 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:01:50, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 0.6475, loss: 0.6475 +2025-07-01 18:36:53,866 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:01:27, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9794, loss_cls: 0.6758, loss: 0.6758 +2025-07-01 18:37:11,452 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:01:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9844, loss_cls: 0.7257, loss: 0.7257 +2025-07-01 18:37:29,344 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:00:43, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6335, loss: 0.6335 +2025-07-01 18:37:47,091 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-01 18:38:25,242 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:38:25,266 - pyskl - INFO - +top1_acc 0.8879 +top5_acc 0.9878 +2025-07-01 18:38:25,267 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8879, top5_acc: 0.9878 +2025-07-01 18:39:06,704 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:00:45, time: 0.414, data_time: 0.239, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9844, loss_cls: 0.7094, loss: 0.7094 +2025-07-01 18:39:24,355 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:00:22, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 0.6601, loss: 0.6601 +2025-07-01 18:39:41,859 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 5:59:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9862, loss_cls: 0.5961, loss: 0.5961 +2025-07-01 18:39:59,246 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 5:59:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9856, loss_cls: 0.6209, loss: 0.6209 +2025-07-01 18:40:16,731 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 5:59:10, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 0.6723, loss: 0.6723 +2025-07-01 18:40:34,261 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 5:58:47, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 0.6891, loss: 0.6891 +2025-07-01 18:40:51,403 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:58:21, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 0.6561, loss: 0.6561 +2025-07-01 18:41:08,920 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:57:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9825, loss_cls: 0.7096, loss: 0.7096 +2025-07-01 18:41:26,898 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-01 18:42:04,438 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:42:04,468 - pyskl - INFO - +top1_acc 0.9011 +top5_acc 0.9915 +2025-07-01 18:42:04,472 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_17.pth was removed +2025-07-01 18:42:04,657 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-01 18:42:04,657 - pyskl - INFO - Best top1_acc is 0.9011 at 19 epoch. +2025-07-01 18:42:04,659 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.9011, top5_acc: 0.9915 +2025-07-01 18:42:46,328 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:57:59, time: 0.417, data_time: 0.235, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.6575, loss: 0.6575 +2025-07-01 18:43:04,069 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:57:37, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 0.6364, loss: 0.6364 +2025-07-01 18:43:21,673 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:57:15, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 0.6633, loss: 0.6633 +2025-07-01 18:43:39,361 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:56:52, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 0.5636, loss: 0.5636 +2025-07-01 18:43:56,724 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:56:28, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9812, loss_cls: 0.6744, loss: 0.6744 +2025-07-01 18:44:14,040 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:56:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9744, loss_cls: 0.7236, loss: 0.7236 +2025-07-01 18:44:31,474 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:55:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9775, loss_cls: 0.7304, loss: 0.7304 +2025-07-01 18:44:48,947 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:55:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9869, loss_cls: 0.6665, loss: 0.6665 +2025-07-01 18:45:06,422 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-01 18:45:43,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:45:43,476 - pyskl - INFO - +top1_acc 0.8975 +top5_acc 0.9907 +2025-07-01 18:45:43,478 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.8975, top5_acc: 0.9907 +2025-07-01 18:46:25,291 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:55:17, time: 0.418, data_time: 0.243, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 0.6482, loss: 0.6482 +2025-07-01 18:46:42,641 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:54:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9869, loss_cls: 0.6335, loss: 0.6335 +2025-07-01 18:46:59,769 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:54:27, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9831, loss_cls: 0.6941, loss: 0.6941 +2025-07-01 18:47:17,126 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:54:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9812, loss_cls: 0.6370, loss: 0.6370 +2025-07-01 18:47:34,405 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:53:39, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9788, loss_cls: 0.6278, loss: 0.6278 +2025-07-01 18:47:51,910 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:53:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9781, loss_cls: 0.7220, loss: 0.7220 +2025-07-01 18:48:09,246 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:52:52, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9812, loss_cls: 0.6220, loss: 0.6220 +2025-07-01 18:48:27,211 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:52:32, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9900, loss_cls: 0.5892, loss: 0.5892 +2025-07-01 18:48:44,669 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-01 18:49:22,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:49:22,479 - pyskl - INFO - +top1_acc 0.8948 +top5_acc 0.9914 +2025-07-01 18:49:22,480 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8948, top5_acc: 0.9914 +2025-07-01 18:50:04,585 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:52:32, time: 0.421, data_time: 0.244, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 0.6585, loss: 0.6585 +2025-07-01 18:50:22,341 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:52:11, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6480, loss: 0.6480 +2025-07-01 18:50:39,716 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:51:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 0.6618, loss: 0.6618 +2025-07-01 18:50:56,998 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:51:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 0.6146, loss: 0.6146 +2025-07-01 18:51:14,201 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:50:58, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.5893, loss: 0.5893 +2025-07-01 18:51:31,661 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:50:36, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 0.6313, loss: 0.6313 +2025-07-01 18:51:49,105 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:50:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.6865, loss: 0.6865 +2025-07-01 18:52:06,595 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:49:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6073, loss: 0.6073 +2025-07-01 18:52:24,374 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-01 18:53:02,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:53:02,416 - pyskl - INFO - +top1_acc 0.8588 +top5_acc 0.9875 +2025-07-01 18:53:02,417 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8588, top5_acc: 0.9875 +2025-07-01 18:53:43,952 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:49:45, time: 0.415, data_time: 0.240, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9781, loss_cls: 0.6729, loss: 0.6729 +2025-07-01 18:54:01,327 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:49:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 0.6100, loss: 0.6100 +2025-07-01 18:54:18,947 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:48:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 0.6244, loss: 0.6244 +2025-07-01 18:54:36,209 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:48:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8912, top5_acc: 0.9881, loss_cls: 0.5768, loss: 0.5768 +2025-07-01 18:54:53,538 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:48:12, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9831, loss_cls: 0.6781, loss: 0.6781 +2025-07-01 18:55:10,840 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:47:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 0.5866, loss: 0.5866 +2025-07-01 18:55:28,226 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:47:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 0.6095, loss: 0.6095 +2025-07-01 18:55:45,424 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:47:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 0.6813, loss: 0.6813 +2025-07-01 18:56:03,010 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-01 18:56:40,632 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:56:40,661 - pyskl - INFO - +top1_acc 0.9103 +top5_acc 0.9914 +2025-07-01 18:56:40,665 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_19.pth was removed +2025-07-01 18:56:40,845 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-01 18:56:40,845 - pyskl - INFO - Best top1_acc is 0.9103 at 23 epoch. +2025-07-01 18:56:40,847 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.9103, top5_acc: 0.9914 +2025-07-01 18:57:22,909 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:46:58, time: 0.421, data_time: 0.243, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 0.6691, loss: 0.6691 +2025-07-01 18:57:40,217 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:46:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 0.6044, loss: 0.6044 +2025-07-01 18:57:57,641 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:46:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9800, loss_cls: 0.6606, loss: 0.6606 +2025-07-01 18:58:15,006 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:45:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 0.6193, loss: 0.6193 +2025-07-01 18:58:32,397 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:45:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6480, loss: 0.6480 +2025-07-01 18:58:49,934 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:45:03, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 0.6053, loss: 0.6053 +2025-07-01 18:59:07,450 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:44:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6115, loss: 0.6115 +2025-07-01 18:59:25,231 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:44:20, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 0.6520, loss: 0.6520 +2025-07-01 18:59:42,825 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-01 19:00:20,645 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:00:20,668 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9930 +2025-07-01 19:00:20,672 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_23.pth was removed +2025-07-01 19:00:20,840 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-01 19:00:20,841 - pyskl - INFO - Best top1_acc is 0.9324 at 24 epoch. +2025-07-01 19:00:20,842 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9324, top5_acc: 0.9930 +2025-07-01 19:01:02,682 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:44:14, time: 0.418, data_time: 0.243, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9881, loss_cls: 0.5978, loss: 0.5978 +2025-07-01 19:01:20,158 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:43:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5459, loss: 0.5459 +2025-07-01 19:01:37,301 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:43:28, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.5808, loss: 0.5808 +2025-07-01 19:01:54,534 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:43:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 0.6193, loss: 0.6193 +2025-07-01 19:02:11,725 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:42:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 0.6380, loss: 0.6380 +2025-07-01 19:02:28,995 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:42:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.5823, loss: 0.5823 +2025-07-01 19:02:46,324 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:41:54, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 0.6124, loss: 0.6124 +2025-07-01 19:03:03,862 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:41:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.5810, loss: 0.5810 +2025-07-01 19:03:21,603 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-01 19:03:59,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:03:59,196 - pyskl - INFO - +top1_acc 0.9091 +top5_acc 0.9915 +2025-07-01 19:03:59,197 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.9091, top5_acc: 0.9915 +2025-07-01 19:04:40,017 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:41:20, time: 0.408, data_time: 0.235, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 0.6060, loss: 0.6060 +2025-07-01 19:04:57,284 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:40:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9906, loss_cls: 0.5920, loss: 0.5920 +2025-07-01 19:05:14,738 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:40:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5761, loss: 0.5761 +2025-07-01 19:05:31,988 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:40:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5258, loss: 0.5258 +2025-07-01 19:05:50,039 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:39:52, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 0.5804, loss: 0.5804 +2025-07-01 19:06:07,676 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:39:31, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.5762, loss: 0.5762 +2025-07-01 19:06:25,337 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:39:10, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 0.6757, loss: 0.6757 +2025-07-01 19:06:42,586 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:38:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 0.6240, loss: 0.6240 +2025-07-01 19:07:00,287 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-01 19:07:38,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:07:38,039 - pyskl - INFO - +top1_acc 0.8827 +top5_acc 0.9886 +2025-07-01 19:07:38,040 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.8827, top5_acc: 0.9886 +2025-07-01 19:08:19,524 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:38:36, time: 0.415, data_time: 0.239, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.5802, loss: 0.5802 +2025-07-01 19:08:37,218 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:38:15, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5201, loss: 0.5201 +2025-07-01 19:08:54,659 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:37:53, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9806, loss_cls: 0.6238, loss: 0.6238 +2025-07-01 19:09:11,825 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:37:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9806, loss_cls: 0.6065, loss: 0.6065 +2025-07-01 19:09:29,550 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:37:09, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.5983, loss: 0.5983 +2025-07-01 19:09:47,121 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:36:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 0.5975, loss: 0.5975 +2025-07-01 19:10:04,536 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:36:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5568, loss: 0.5568 +2025-07-01 19:10:21,807 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:36:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5404, loss: 0.5404 +2025-07-01 19:10:39,440 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-01 19:11:16,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:11:16,633 - pyskl - INFO - +top1_acc 0.9219 +top5_acc 0.9932 +2025-07-01 19:11:16,634 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.9219, top5_acc: 0.9932 +2025-07-01 19:11:58,314 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:35:52, time: 0.417, data_time: 0.239, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9831, loss_cls: 0.5790, loss: 0.5790 +2025-07-01 19:12:15,808 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:35:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 0.5968, loss: 0.5968 +2025-07-01 19:12:33,112 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:35:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.5284, loss: 0.5284 +2025-07-01 19:12:50,675 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:34:46, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5566, loss: 0.5566 +2025-07-01 19:13:08,296 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:34:25, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 0.6341, loss: 0.6341 +2025-07-01 19:13:25,946 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:34:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 0.5670, loss: 0.5670 +2025-07-01 19:13:43,596 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:33:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 0.5368, loss: 0.5368 +2025-07-01 19:14:01,289 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:33:23, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9825, loss_cls: 0.5700, loss: 0.5700 +2025-07-01 19:14:18,935 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-01 19:14:56,019 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:14:56,050 - pyskl - INFO - +top1_acc 0.9189 +top5_acc 0.9923 +2025-07-01 19:14:56,051 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.9189, top5_acc: 0.9923 +2025-07-01 19:15:37,889 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:33:11, time: 0.418, data_time: 0.241, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 0.6137, loss: 0.6137 +2025-07-01 19:15:55,551 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:32:50, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9900, loss_cls: 0.5446, loss: 0.5446 +2025-07-01 19:16:13,201 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:32:30, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9844, loss_cls: 0.6049, loss: 0.6049 +2025-07-01 19:16:31,020 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:32:09, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5173, loss: 0.5173 +2025-07-01 19:16:48,524 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:31:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5419, loss: 0.5419 +2025-07-01 19:17:05,991 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:31:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6225, loss: 0.6225 +2025-07-01 19:17:23,402 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:31:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9819, loss_cls: 0.5978, loss: 0.5978 +2025-07-01 19:17:40,785 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:30:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 0.5506, loss: 0.5506 +2025-07-01 19:17:58,700 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-01 19:18:36,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:18:36,185 - pyskl - INFO - +top1_acc 0.9023 +top5_acc 0.9928 +2025-07-01 19:18:36,186 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9023, top5_acc: 0.9928 +2025-07-01 19:19:19,308 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:30:36, time: 0.431, data_time: 0.250, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5610, loss: 0.5610 +2025-07-01 19:19:37,178 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:30:16, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9906, loss_cls: 0.5502, loss: 0.5502 +2025-07-01 19:19:55,494 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:29:57, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 0.5805, loss: 0.5805 +2025-07-01 19:20:13,932 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:29:40, time: 0.184, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9838, loss_cls: 0.5985, loss: 0.5985 +2025-07-01 19:20:32,235 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:29:22, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 0.5310, loss: 0.5310 +2025-07-01 19:20:50,402 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:29:03, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5254, loss: 0.5254 +2025-07-01 19:21:08,682 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:28:45, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 0.5884, loss: 0.5884 +2025-07-01 19:21:26,522 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:28:25, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.5499, loss: 0.5499 +2025-07-01 19:21:45,420 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-01 19:22:22,994 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:22:23,017 - pyskl - INFO - +top1_acc 0.8926 +top5_acc 0.9894 +2025-07-01 19:22:23,018 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.8926, top5_acc: 0.9894 +2025-07-01 19:23:05,863 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:28:15, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6515, loss: 0.6515 +2025-07-01 19:23:23,902 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:27:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 0.6042, loss: 0.6042 +2025-07-01 19:23:41,856 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:27:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9881, loss_cls: 0.6276, loss: 0.6276 +2025-07-01 19:23:59,841 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:27:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9825, loss_cls: 0.6046, loss: 0.6046 +2025-07-01 19:24:17,958 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:26:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9875, loss_cls: 0.6561, loss: 0.6561 +2025-07-01 19:24:36,207 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:26:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5855, loss: 0.5855 +2025-07-01 19:24:54,331 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:26:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 0.6077, loss: 0.6077 +2025-07-01 19:25:12,309 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:26:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.5672, loss: 0.5672 +2025-07-01 19:25:30,656 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-01 19:26:07,760 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:26:07,784 - pyskl - INFO - +top1_acc 0.8869 +top5_acc 0.9891 +2025-07-01 19:26:07,785 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8869, top5_acc: 0.9891 +2025-07-01 19:26:50,702 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:25:50, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5533, loss: 0.5533 +2025-07-01 19:27:08,799 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:25:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5434, loss: 0.5434 +2025-07-01 19:27:26,820 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:25:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.5960, loss: 0.5960 +2025-07-01 19:27:45,099 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:24:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9838, loss_cls: 0.5882, loss: 0.5882 +2025-07-01 19:28:03,373 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:24:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5780, loss: 0.5780 +2025-07-01 19:28:21,396 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:24:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9831, loss_cls: 0.5920, loss: 0.5920 +2025-07-01 19:28:39,381 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:23:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5792, loss: 0.5792 +2025-07-01 19:28:57,229 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:23:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9900, loss_cls: 0.6095, loss: 0.6095 +2025-07-01 19:29:15,674 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-01 19:29:52,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:29:52,481 - pyskl - INFO - +top1_acc 0.8887 +top5_acc 0.9919 +2025-07-01 19:29:52,483 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.8887, top5_acc: 0.9919 +2025-07-01 19:30:34,933 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:23:22, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5736, loss: 0.5736 +2025-07-01 19:30:53,455 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:23:05, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5632, loss: 0.5632 +2025-07-01 19:31:11,593 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:22:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 0.5441, loss: 0.5441 +2025-07-01 19:31:29,625 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:22:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5655, loss: 0.5655 +2025-07-01 19:31:47,537 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:22:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6121, loss: 0.6121 +2025-07-01 19:32:05,763 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:21:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.6089, loss: 0.6089 +2025-07-01 19:32:24,015 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:21:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9838, loss_cls: 0.6070, loss: 0.6070 +2025-07-01 19:32:41,588 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:21:08, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.6330, loss: 0.6330 +2025-07-01 19:32:59,975 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-01 19:33:38,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:33:38,051 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9907 +2025-07-01 19:33:38,052 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.8802, top5_acc: 0.9907 +2025-07-01 19:34:20,958 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:20:55, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 0.5975, loss: 0.5975 +2025-07-01 19:34:38,996 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:20:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.5117, loss: 0.5117 +2025-07-01 19:34:56,674 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:20:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 0.5844, loss: 0.5844 +2025-07-01 19:35:14,775 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:19:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5632, loss: 0.5632 +2025-07-01 19:35:33,198 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:19:38, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4987, loss: 0.4987 +2025-07-01 19:35:51,352 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:19:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.5955, loss: 0.5955 +2025-07-01 19:36:09,370 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:19:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6366, loss: 0.6366 +2025-07-01 19:36:27,145 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:18:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 0.6103, loss: 0.6103 +2025-07-01 19:36:45,686 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-01 19:37:22,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:37:22,118 - pyskl - INFO - +top1_acc 0.9143 +top5_acc 0.9930 +2025-07-01 19:37:22,120 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9143, top5_acc: 0.9930 +2025-07-01 19:38:04,937 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:18:25, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9931, loss_cls: 0.5074, loss: 0.5074 +2025-07-01 19:38:22,915 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:18:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5436, loss: 0.5436 +2025-07-01 19:38:40,796 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:17:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9869, loss_cls: 0.5261, loss: 0.5261 +2025-07-01 19:38:58,853 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:17:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5508, loss: 0.5508 +2025-07-01 19:39:17,089 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:17:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5643, loss: 0.5643 +2025-07-01 19:39:35,555 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:16:49, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.6032, loss: 0.6032 +2025-07-01 19:39:53,523 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:16:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5708, loss: 0.5708 +2025-07-01 19:40:11,232 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:16:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5301, loss: 0.5301 +2025-07-01 19:40:29,862 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-01 19:41:07,329 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:41:07,359 - pyskl - INFO - +top1_acc 0.8877 +top5_acc 0.9880 +2025-07-01 19:41:07,361 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.8877, top5_acc: 0.9880 +2025-07-01 19:41:50,746 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:15:56, time: 0.434, data_time: 0.246, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 0.5937, loss: 0.5937 +2025-07-01 19:42:09,349 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:15:38, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5310, loss: 0.5310 +2025-07-01 19:42:27,401 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:15:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5517, loss: 0.5517 +2025-07-01 19:42:45,540 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:15:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5721, loss: 0.5721 +2025-07-01 19:43:03,650 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:14:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9906, loss_cls: 0.5320, loss: 0.5320 +2025-07-01 19:43:21,684 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:14:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9881, loss_cls: 0.5325, loss: 0.5325 +2025-07-01 19:43:39,912 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:14:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9862, loss_cls: 0.5583, loss: 0.5583 +2025-07-01 19:43:57,680 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:13:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.5928, loss: 0.5928 +2025-07-01 19:44:16,253 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-01 19:44:52,853 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:44:52,885 - pyskl - INFO - +top1_acc 0.9239 +top5_acc 0.9943 +2025-07-01 19:44:52,886 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9239, top5_acc: 0.9943 +2025-07-01 19:45:35,691 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:13:26, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4886, loss: 0.4886 +2025-07-01 19:45:53,777 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:13:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.4988, loss: 0.4988 +2025-07-01 19:46:11,582 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:12:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 0.5895, loss: 0.5895 +2025-07-01 19:46:29,526 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:12:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9850, loss_cls: 0.5267, loss: 0.5267 +2025-07-01 19:46:47,762 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:12:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.5759, loss: 0.5759 +2025-07-01 19:47:05,875 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:11:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5579, loss: 0.5579 +2025-07-01 19:47:23,818 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:11:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.5311, loss: 0.5311 +2025-07-01 19:47:41,992 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:11:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.5824, loss: 0.5824 +2025-07-01 19:48:00,533 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-01 19:48:37,210 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:48:37,233 - pyskl - INFO - +top1_acc 0.8948 +top5_acc 0.9898 +2025-07-01 19:48:37,234 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.8948, top5_acc: 0.9898 +2025-07-01 19:49:20,460 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:10:54, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5592, loss: 0.5592 +2025-07-01 19:49:38,984 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:10:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.5472, loss: 0.5472 +2025-07-01 19:49:57,005 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:10:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5399, loss: 0.5399 +2025-07-01 19:50:15,162 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:09:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 0.5341, loss: 0.5341 +2025-07-01 19:50:33,282 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:09:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5544, loss: 0.5544 +2025-07-01 19:50:51,525 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:09:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 0.5894, loss: 0.5894 +2025-07-01 19:51:09,678 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:09:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 0.5723, loss: 0.5723 +2025-07-01 19:51:28,057 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:08:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9869, loss_cls: 0.5415, loss: 0.5415 +2025-07-01 19:51:46,245 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-01 19:52:23,478 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:52:23,501 - pyskl - INFO - +top1_acc 0.9066 +top5_acc 0.9915 +2025-07-01 19:52:23,502 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9066, top5_acc: 0.9915 +2025-07-01 19:53:06,749 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:08:25, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5572, loss: 0.5572 +2025-07-01 19:53:24,617 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:08:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4478, loss: 0.4478 +2025-07-01 19:53:42,393 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:07:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5686, loss: 0.5686 +2025-07-01 19:54:00,247 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:07:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5392, loss: 0.5392 +2025-07-01 19:54:18,335 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:07:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 0.5780, loss: 0.5780 +2025-07-01 19:54:36,296 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:06:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5405, loss: 0.5405 +2025-07-01 19:54:54,428 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:06:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5971, loss: 0.5971 +2025-07-01 19:55:12,582 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:06:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5511, loss: 0.5511 +2025-07-01 19:55:30,752 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-01 19:56:07,755 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:56:07,783 - pyskl - INFO - +top1_acc 0.9325 +top5_acc 0.9944 +2025-07-01 19:56:07,787 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_24.pth was removed +2025-07-01 19:56:07,982 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. +2025-07-01 19:56:07,982 - pyskl - INFO - Best top1_acc is 0.9325 at 39 epoch. +2025-07-01 19:56:07,984 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9325, top5_acc: 0.9944 +2025-07-01 19:56:51,549 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:05:51, time: 0.436, data_time: 0.243, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4800, loss: 0.4800 +2025-07-01 19:57:09,881 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:05:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5070, loss: 0.5070 +2025-07-01 19:57:27,867 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:05:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.4976, loss: 0.4976 +2025-07-01 19:57:46,224 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:04:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.5636, loss: 0.5636 +2025-07-01 19:58:04,244 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:04:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5222, loss: 0.5222 +2025-07-01 19:58:22,354 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:04:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5210, loss: 0.5210 +2025-07-01 19:58:40,506 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:03:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5445, loss: 0.5445 +2025-07-01 19:58:58,425 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:03:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9862, loss_cls: 0.5309, loss: 0.5309 +2025-07-01 19:59:16,900 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-01 19:59:54,480 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:59:54,513 - pyskl - INFO - +top1_acc 0.9142 +top5_acc 0.9928 +2025-07-01 19:59:54,515 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9142, top5_acc: 0.9928 +2025-07-01 20:00:36,656 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:03:15, time: 0.421, data_time: 0.235, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9894, loss_cls: 0.5788, loss: 0.5788 +2025-07-01 20:00:54,958 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:02:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5283, loss: 0.5283 +2025-07-01 20:01:12,837 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:02:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5550, loss: 0.5550 +2025-07-01 20:01:31,392 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:02:18, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 0.4717, loss: 0.4717 +2025-07-01 20:01:49,596 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:01:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4748, loss: 0.4748 +2025-07-01 20:02:08,175 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:01:41, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4632, loss: 0.4632 +2025-07-01 20:02:26,271 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:01:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5186, loss: 0.5186 +2025-07-01 20:02:44,491 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:01:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 0.5874, loss: 0.5874 +2025-07-01 20:03:03,033 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-01 20:03:40,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:03:40,439 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9954 +2025-07-01 20:03:40,444 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_39.pth was removed +2025-07-01 20:03:40,641 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-01 20:03:40,642 - pyskl - INFO - Best top1_acc is 0.9331 at 41 epoch. +2025-07-01 20:03:40,644 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9331, top5_acc: 0.9954 +2025-07-01 20:04:23,518 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:00:43, time: 0.429, data_time: 0.238, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9850, loss_cls: 0.4787, loss: 0.4787 +2025-07-01 20:04:41,493 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:00:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4692, loss: 0.4692 +2025-07-01 20:04:59,632 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:00:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.5815, loss: 0.5815 +2025-07-01 20:05:17,765 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:59:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4633, loss: 0.4633 +2025-07-01 20:05:35,851 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:59:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4592, loss: 0.4592 +2025-07-01 20:05:53,988 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:59:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 0.6112, loss: 0.6112 +2025-07-01 20:06:12,148 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:58:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5301, loss: 0.5301 +2025-07-01 20:06:30,515 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:58:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 0.4813, loss: 0.4813 +2025-07-01 20:06:48,903 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-01 20:07:26,428 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:07:26,452 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9935 +2025-07-01 20:07:26,453 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9288, top5_acc: 0.9935 +2025-07-01 20:08:09,093 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:58:08, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.5550, loss: 0.5550 +2025-07-01 20:08:27,039 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:57:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4678, loss: 0.4678 +2025-07-01 20:08:44,770 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:57:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 0.5529, loss: 0.5529 +2025-07-01 20:09:03,106 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:57:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4880, loss: 0.4880 +2025-07-01 20:09:21,325 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:56:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9850, loss_cls: 0.5441, loss: 0.5441 +2025-07-01 20:09:39,240 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:56:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5586, loss: 0.5586 +2025-07-01 20:09:57,553 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:56:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.4967, loss: 0.4967 +2025-07-01 20:10:15,612 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:55:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4627, loss: 0.4627 +2025-07-01 20:10:33,960 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-01 20:11:11,375 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:11:11,398 - pyskl - INFO - +top1_acc 0.8771 +top5_acc 0.9855 +2025-07-01 20:11:11,399 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.8771, top5_acc: 0.9855 +2025-07-01 20:11:53,711 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:55:29, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5689, loss: 0.5689 +2025-07-01 20:12:11,805 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:55:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.4974, loss: 0.4974 +2025-07-01 20:12:29,793 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:54:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4735, loss: 0.4735 +2025-07-01 20:12:47,805 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:54:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4826, loss: 0.4826 +2025-07-01 20:13:05,950 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:54:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5411, loss: 0.5411 +2025-07-01 20:13:23,841 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:53:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.5068, loss: 0.5068 +2025-07-01 20:13:42,039 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:53:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9862, loss_cls: 0.5261, loss: 0.5261 +2025-07-01 20:14:00,153 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:53:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4802, loss: 0.4802 +2025-07-01 20:14:18,607 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-01 20:14:56,144 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:14:56,169 - pyskl - INFO - +top1_acc 0.9328 +top5_acc 0.9947 +2025-07-01 20:14:56,171 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9328, top5_acc: 0.9947 +2025-07-01 20:15:39,380 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:52:52, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 0.4342, loss: 0.4342 +2025-07-01 20:15:57,352 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:52:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.4763, loss: 0.4763 +2025-07-01 20:16:15,091 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:52:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4966, loss: 0.4966 +2025-07-01 20:16:33,596 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:51:54, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9931, loss_cls: 0.5140, loss: 0.5140 +2025-07-01 20:16:51,529 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:51:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 0.5050, loss: 0.5050 +2025-07-01 20:17:09,388 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:51:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.4938, loss: 0.4938 +2025-07-01 20:17:27,798 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:50:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5768, loss: 0.5768 +2025-07-01 20:17:45,739 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:50:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4942, loss: 0.4942 +2025-07-01 20:18:04,279 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-01 20:18:41,954 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:18:41,983 - pyskl - INFO - +top1_acc 0.9328 +top5_acc 0.9923 +2025-07-01 20:18:41,984 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9328, top5_acc: 0.9923 +2025-07-01 20:19:24,901 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:50:14, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5185, loss: 0.5185 +2025-07-01 20:19:43,164 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:49:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4539, loss: 0.4539 +2025-07-01 20:20:01,288 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:49:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4498, loss: 0.4498 +2025-07-01 20:20:19,400 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:49:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4259, loss: 0.4259 +2025-07-01 20:20:37,397 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:48:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9869, loss_cls: 0.4887, loss: 0.4887 +2025-07-01 20:20:55,249 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:48:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.5712, loss: 0.5712 +2025-07-01 20:21:13,657 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:48:18, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.5218, loss: 0.5218 +2025-07-01 20:21:31,498 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:47:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.4967, loss: 0.4967 +2025-07-01 20:21:49,647 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-01 20:22:27,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:22:27,207 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9953 +2025-07-01 20:22:27,211 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_41.pth was removed +2025-07-01 20:22:27,384 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-07-01 20:22:27,385 - pyskl - INFO - Best top1_acc is 0.9372 at 46 epoch. +2025-07-01 20:22:27,386 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9372, top5_acc: 0.9953 +2025-07-01 20:23:09,998 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:47:35, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4651, loss: 0.4651 +2025-07-01 20:23:27,719 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:47:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 0.4431, loss: 0.4431 +2025-07-01 20:23:45,920 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:46:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4660, loss: 0.4660 +2025-07-01 20:24:03,907 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:46:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9831, loss_cls: 0.5162, loss: 0.5162 +2025-07-01 20:24:21,841 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:46:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4513, loss: 0.4513 +2025-07-01 20:24:39,833 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:45:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4523, loss: 0.4523 +2025-07-01 20:24:58,096 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:45:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 0.5795, loss: 0.5795 +2025-07-01 20:25:16,213 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:45:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4808, loss: 0.4808 +2025-07-01 20:25:34,674 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-01 20:26:12,349 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:26:12,374 - pyskl - INFO - +top1_acc 0.9320 +top5_acc 0.9944 +2025-07-01 20:26:12,375 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9320, top5_acc: 0.9944 +2025-07-01 20:26:55,652 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:44:57, time: 0.433, data_time: 0.244, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4258, loss: 0.4258 +2025-07-01 20:27:13,747 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:44:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4496, loss: 0.4496 +2025-07-01 20:27:31,829 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:44:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9881, loss_cls: 0.5066, loss: 0.5066 +2025-07-01 20:27:49,894 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:43:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.4567, loss: 0.4567 +2025-07-01 20:28:07,929 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:43:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5485, loss: 0.5485 +2025-07-01 20:28:25,930 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:43:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4467, loss: 0.4467 +2025-07-01 20:28:44,157 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:43:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4594, loss: 0.4594 +2025-07-01 20:29:02,373 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:42:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.5116, loss: 0.5116 +2025-07-01 20:29:20,663 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-01 20:29:58,019 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:29:58,043 - pyskl - INFO - +top1_acc 0.9296 +top5_acc 0.9935 +2025-07-01 20:29:58,044 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9296, top5_acc: 0.9935 +2025-07-01 20:30:40,520 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:42:17, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4615, loss: 0.4615 +2025-07-01 20:30:58,494 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:41:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 0.4756, loss: 0.4756 +2025-07-01 20:31:16,747 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:41:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.4900, loss: 0.4900 +2025-07-01 20:31:34,768 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:41:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.4977, loss: 0.4977 +2025-07-01 20:31:52,649 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:40:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4809, loss: 0.4809 +2025-07-01 20:32:11,091 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:40:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9938, loss_cls: 0.4919, loss: 0.4919 +2025-07-01 20:32:29,179 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:40:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.4767, loss: 0.4767 +2025-07-01 20:32:47,208 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:40:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 0.4525, loss: 0.4525 +2025-07-01 20:33:05,680 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-01 20:33:43,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:33:43,110 - pyskl - INFO - +top1_acc 0.9271 +top5_acc 0.9939 +2025-07-01 20:33:43,111 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9271, top5_acc: 0.9939 +2025-07-01 20:34:25,241 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:39:36, time: 0.421, data_time: 0.233, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5083, loss: 0.5083 +2025-07-01 20:34:42,988 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:39:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4823, loss: 0.4823 +2025-07-01 20:35:01,205 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:38:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4925, loss: 0.4925 +2025-07-01 20:35:19,509 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:38:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9869, loss_cls: 0.4724, loss: 0.4724 +2025-07-01 20:35:37,542 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:38:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5026, loss: 0.5026 +2025-07-01 20:35:55,811 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:37:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.4939, loss: 0.4939 +2025-07-01 20:36:14,005 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:37:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9962, loss_cls: 0.4814, loss: 0.4814 +2025-07-01 20:36:32,287 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:37:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.4988, loss: 0.4988 +2025-07-01 20:36:50,555 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-01 20:37:27,892 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:37:27,920 - pyskl - INFO - +top1_acc 0.9016 +top5_acc 0.9925 +2025-07-01 20:37:27,921 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9016, top5_acc: 0.9925 +2025-07-01 20:38:11,179 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:36:57, time: 0.433, data_time: 0.242, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.4146, loss: 0.4146 +2025-07-01 20:38:29,417 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:36:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.4743, loss: 0.4743 +2025-07-01 20:38:47,673 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:36:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4645, loss: 0.4645 +2025-07-01 20:39:05,832 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:36:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.4739, loss: 0.4739 +2025-07-01 20:39:23,441 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:35:40, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9875, loss_cls: 0.4636, loss: 0.4636 +2025-07-01 20:39:41,684 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:35:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.4809, loss: 0.4809 +2025-07-01 20:39:59,608 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:35:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4400, loss: 0.4400 +2025-07-01 20:40:17,772 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:34:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4459, loss: 0.4459 +2025-07-01 20:40:36,487 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-01 20:41:13,871 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:41:13,895 - pyskl - INFO - +top1_acc 0.9096 +top5_acc 0.9928 +2025-07-01 20:41:13,896 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9096, top5_acc: 0.9928 +2025-07-01 20:41:57,322 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:34:18, time: 0.434, data_time: 0.246, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 0.4866, loss: 0.4866 +2025-07-01 20:42:15,691 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:33:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 0.4368, loss: 0.4368 +2025-07-01 20:42:34,256 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:33:41, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4689, loss: 0.4689 +2025-07-01 20:42:52,364 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:33:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.4899, loss: 0.4899 +2025-07-01 20:43:10,580 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:33:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9888, loss_cls: 0.4710, loss: 0.4710 +2025-07-01 20:43:28,521 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:32:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9919, loss_cls: 0.4946, loss: 0.4946 +2025-07-01 20:43:46,533 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:32:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4200, loss: 0.4200 +2025-07-01 20:44:04,681 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:32:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9869, loss_cls: 0.4524, loss: 0.4524 +2025-07-01 20:44:23,421 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-01 20:45:01,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:45:01,586 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9922 +2025-07-01 20:45:01,587 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9314, top5_acc: 0.9922 +2025-07-01 20:45:44,440 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:31:39, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5656, loss: 0.5656 +2025-07-01 20:46:02,706 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:31:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.3877, loss: 0.3877 +2025-07-01 20:46:20,911 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:31:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4275, loss: 0.4275 +2025-07-01 20:46:38,805 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:30:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5125, loss: 0.5125 +2025-07-01 20:46:57,067 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:30:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4187, loss: 0.4187 +2025-07-01 20:47:15,188 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:30:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4295, loss: 0.4295 +2025-07-01 20:47:33,504 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:29:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4174, loss: 0.4174 +2025-07-01 20:47:51,582 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:29:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9881, loss_cls: 0.4604, loss: 0.4604 +2025-07-01 20:48:09,894 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-01 20:48:47,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:48:47,783 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9932 +2025-07-01 20:48:47,784 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9314, top5_acc: 0.9932 +2025-07-01 20:49:31,666 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:29:01, time: 0.439, data_time: 0.254, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.4828, loss: 0.4828 +2025-07-01 20:49:49,820 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:28:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9888, loss_cls: 0.4160, loss: 0.4160 +2025-07-01 20:50:08,044 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:28:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4717, loss: 0.4717 +2025-07-01 20:50:26,134 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:28:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4516, loss: 0.4516 +2025-07-01 20:50:44,203 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:27:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4617, loss: 0.4617 +2025-07-01 20:51:01,816 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:27:23, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3622, loss: 0.3622 +2025-07-01 20:51:19,676 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:27:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 0.4926, loss: 0.4926 +2025-07-01 20:51:37,465 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:26:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.4732, loss: 0.4732 +2025-07-01 20:51:55,773 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-01 20:52:33,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:52:33,619 - pyskl - INFO - +top1_acc 0.9359 +top5_acc 0.9936 +2025-07-01 20:52:33,620 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9359, top5_acc: 0.9936 +2025-07-01 20:53:16,044 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:26:17, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3967, loss: 0.3967 +2025-07-01 20:53:34,019 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:25:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4477, loss: 0.4477 +2025-07-01 20:53:52,013 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:25:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4175, loss: 0.4175 +2025-07-01 20:54:09,629 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:25:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4709, loss: 0.4709 +2025-07-01 20:54:27,847 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:24:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3893, loss: 0.3893 +2025-07-01 20:54:45,745 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:24:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4357, loss: 0.4357 +2025-07-01 20:55:03,669 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:24:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4368, loss: 0.4368 +2025-07-01 20:55:21,508 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:23:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4303, loss: 0.4303 +2025-07-01 20:55:39,821 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-01 20:56:18,061 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:56:18,084 - pyskl - INFO - +top1_acc 0.9359 +top5_acc 0.9943 +2025-07-01 20:56:18,085 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9359, top5_acc: 0.9943 +2025-07-01 20:57:00,767 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:23:33, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.4139, loss: 0.4139 +2025-07-01 20:57:19,045 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:23:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4020, loss: 0.4020 +2025-07-01 20:57:37,224 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:22:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4124, loss: 0.4124 +2025-07-01 20:57:55,091 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:22:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4085, loss: 0.4085 +2025-07-01 20:58:13,295 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:22:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4434, loss: 0.4434 +2025-07-01 20:58:31,206 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:21:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4426, loss: 0.4426 +2025-07-01 20:58:49,323 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:21:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3899, loss: 0.3899 +2025-07-01 20:59:07,449 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:21:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9881, loss_cls: 0.4409, loss: 0.4409 +2025-07-01 20:59:25,778 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-01 21:00:05,042 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:00:05,071 - pyskl - INFO - +top1_acc 0.9208 +top5_acc 0.9929 +2025-07-01 21:00:05,073 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9208, top5_acc: 0.9929 +2025-07-01 21:00:48,240 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:20:51, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4274, loss: 0.4274 +2025-07-01 21:01:06,584 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:20:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 0.4032, loss: 0.4032 +2025-07-01 21:01:24,537 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:20:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4403, loss: 0.4403 +2025-07-01 21:01:42,621 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:19:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.4792, loss: 0.4792 +2025-07-01 21:02:00,711 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:19:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4505, loss: 0.4505 +2025-07-01 21:02:18,342 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:19:14, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4623, loss: 0.4623 +2025-07-01 21:02:36,537 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:18:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3518, loss: 0.3518 +2025-07-01 21:02:54,537 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:18:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4742, loss: 0.4742 +2025-07-01 21:03:12,952 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-01 21:03:50,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:03:50,463 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9951 +2025-07-01 21:03:50,468 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_46.pth was removed +2025-07-01 21:03:50,670 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_57.pth. +2025-07-01 21:03:50,670 - pyskl - INFO - Best top1_acc is 0.9382 at 57 epoch. +2025-07-01 21:03:50,672 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9382, top5_acc: 0.9951 +2025-07-01 21:04:33,664 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:18:09, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4563, loss: 0.4563 +2025-07-01 21:04:52,210 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:17:50, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4139, loss: 0.4139 +2025-07-01 21:05:10,451 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:17:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9912, loss_cls: 0.3796, loss: 0.3796 +2025-07-01 21:05:28,515 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:17:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.3974, loss: 0.3974 +2025-07-01 21:05:46,607 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:16:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3516, loss: 0.3516 +2025-07-01 21:06:04,644 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:16:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4167, loss: 0.4167 +2025-07-01 21:06:22,649 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:16:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3465, loss: 0.3465 +2025-07-01 21:06:40,770 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:15:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.4838, loss: 0.4838 +2025-07-01 21:06:59,494 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-01 21:07:37,770 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:07:37,797 - pyskl - INFO - +top1_acc 0.9228 +top5_acc 0.9921 +2025-07-01 21:07:37,798 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9228, top5_acc: 0.9921 +2025-07-01 21:08:20,691 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:15:27, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4453, loss: 0.4453 +2025-07-01 21:08:39,142 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:15:09, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4275, loss: 0.4275 +2025-07-01 21:08:57,229 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:14:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9881, loss_cls: 0.4286, loss: 0.4286 +2025-07-01 21:09:15,568 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:14:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 0.5003, loss: 0.5003 +2025-07-01 21:09:33,750 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:14:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4115, loss: 0.4115 +2025-07-01 21:09:51,569 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:13:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4349, loss: 0.4349 +2025-07-01 21:10:09,594 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:13:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3818, loss: 0.3818 +2025-07-01 21:10:27,869 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:13:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4307, loss: 0.4307 +2025-07-01 21:10:46,154 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-01 21:11:23,483 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:11:23,507 - pyskl - INFO - +top1_acc 0.9327 +top5_acc 0.9937 +2025-07-01 21:11:23,508 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9327, top5_acc: 0.9937 +2025-07-01 21:12:05,588 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:12:44, time: 0.421, data_time: 0.236, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4231, loss: 0.4231 +2025-07-01 21:12:23,696 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:12:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3487, loss: 0.3487 +2025-07-01 21:12:41,606 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:12:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 0.3835, loss: 0.3835 +2025-07-01 21:12:59,962 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:11:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3498, loss: 0.3498 +2025-07-01 21:13:17,928 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:11:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4233, loss: 0.4233 +2025-07-01 21:13:35,881 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:11:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4372, loss: 0.4372 +2025-07-01 21:13:53,958 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:10:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4556, loss: 0.4556 +2025-07-01 21:14:12,117 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:10:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4346, loss: 0.4346 +2025-07-01 21:14:30,699 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-01 21:15:08,018 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:15:08,046 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9946 +2025-07-01 21:15:08,047 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9331, top5_acc: 0.9946 +2025-07-01 21:15:50,932 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:10:01, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4050, loss: 0.4050 +2025-07-01 21:16:09,347 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:09:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9906, loss_cls: 0.3324, loss: 0.3324 +2025-07-01 21:16:27,421 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:09:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4715, loss: 0.4715 +2025-07-01 21:16:45,667 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:09:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.3669, loss: 0.3669 +2025-07-01 21:17:03,714 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:08:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4034, loss: 0.4034 +2025-07-01 21:17:21,424 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:08:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3939, loss: 0.3939 +2025-07-01 21:17:39,650 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:08:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4112, loss: 0.4112 +2025-07-01 21:17:57,537 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:07:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.3952, loss: 0.3952 +2025-07-01 21:18:15,958 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-01 21:18:54,220 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:18:54,250 - pyskl - INFO - +top1_acc 0.9517 +top5_acc 0.9947 +2025-07-01 21:18:54,254 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_57.pth was removed +2025-07-01 21:18:54,447 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_61.pth. +2025-07-01 21:18:54,447 - pyskl - INFO - Best top1_acc is 0.9517 at 61 epoch. +2025-07-01 21:18:54,449 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9517, top5_acc: 0.9947 +2025-07-01 21:19:36,925 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:07:17, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.4053, loss: 0.4053 +2025-07-01 21:19:55,036 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:06:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4115, loss: 0.4115 +2025-07-01 21:20:13,131 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:06:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9906, loss_cls: 0.3750, loss: 0.3750 +2025-07-01 21:20:31,106 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:06:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9888, loss_cls: 0.4076, loss: 0.4076 +2025-07-01 21:20:49,177 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:06:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9894, loss_cls: 0.3719, loss: 0.3719 +2025-07-01 21:21:07,544 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:05:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.3813, loss: 0.3813 +2025-07-01 21:21:25,749 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:05:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4143, loss: 0.4143 +2025-07-01 21:21:43,968 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:05:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3788, loss: 0.3788 +2025-07-01 21:22:02,305 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-01 21:22:40,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:22:40,063 - pyskl - INFO - +top1_acc 0.9359 +top5_acc 0.9933 +2025-07-01 21:22:40,064 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9359, top5_acc: 0.9933 +2025-07-01 21:23:22,905 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:04:35, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4020, loss: 0.4020 +2025-07-01 21:23:41,394 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:04:16, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3948, loss: 0.3948 +2025-07-01 21:23:59,582 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:03:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3630, loss: 0.3630 +2025-07-01 21:24:17,783 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:03:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3773, loss: 0.3773 +2025-07-01 21:24:35,904 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:03:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9944, loss_cls: 0.4208, loss: 0.4208 +2025-07-01 21:24:53,924 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:02:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4310, loss: 0.4310 +2025-07-01 21:25:12,068 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:02:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9881, loss_cls: 0.3932, loss: 0.3932 +2025-07-01 21:25:30,025 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:02:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9900, loss_cls: 0.4095, loss: 0.4095 +2025-07-01 21:25:48,479 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-01 21:26:26,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:26:26,538 - pyskl - INFO - +top1_acc 0.8723 +top5_acc 0.9882 +2025-07-01 21:26:26,539 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.8723, top5_acc: 0.9882 +2025-07-01 21:27:09,667 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:01:52, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3903, loss: 0.3903 +2025-07-01 21:27:27,964 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:01:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 0.3503, loss: 0.3503 +2025-07-01 21:27:46,131 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:01:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3837, loss: 0.3837 +2025-07-01 21:28:04,383 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:00:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3447, loss: 0.3447 +2025-07-01 21:28:22,538 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:00:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.3964, loss: 0.3964 +2025-07-01 21:28:40,554 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:00:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4343, loss: 0.4343 +2025-07-01 21:28:58,830 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:59:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.3974, loss: 0.3974 +2025-07-01 21:29:16,755 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:59:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3775, loss: 0.3775 +2025-07-01 21:29:35,142 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-01 21:30:13,004 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:30:13,032 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9965 +2025-07-01 21:30:13,033 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9498, top5_acc: 0.9965 +2025-07-01 21:30:55,886 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:59:09, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3484, loss: 0.3484 +2025-07-01 21:31:13,906 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:58:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3781, loss: 0.3781 +2025-07-01 21:31:32,201 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:58:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.4133, loss: 0.4133 +2025-07-01 21:31:50,415 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:58:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3584, loss: 0.3584 +2025-07-01 21:32:08,535 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:57:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3210, loss: 0.3210 +2025-07-01 21:32:26,645 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:57:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3817, loss: 0.3817 +2025-07-01 21:32:44,805 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:57:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3680, loss: 0.3680 +2025-07-01 21:33:02,855 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:56:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4316, loss: 0.4316 +2025-07-01 21:33:21,420 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-01 21:33:58,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:33:58,307 - pyskl - INFO - +top1_acc 0.9360 +top5_acc 0.9935 +2025-07-01 21:33:58,308 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9360, top5_acc: 0.9935 +2025-07-01 21:34:40,836 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:56:25, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4201, loss: 0.4201 +2025-07-01 21:34:59,029 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:56:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9931, loss_cls: 0.3454, loss: 0.3454 +2025-07-01 21:35:17,255 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:55:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4490, loss: 0.4490 +2025-07-01 21:35:35,350 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:55:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3407, loss: 0.3407 +2025-07-01 21:35:53,517 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:55:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3722, loss: 0.3722 +2025-07-01 21:36:11,562 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:54:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.3913, loss: 0.3913 +2025-07-01 21:36:29,857 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:54:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3619, loss: 0.3619 +2025-07-01 21:36:48,105 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:54:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3935, loss: 0.3935 +2025-07-01 21:37:06,412 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-01 21:37:43,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:37:43,833 - pyskl - INFO - +top1_acc 0.9535 +top5_acc 0.9942 +2025-07-01 21:37:43,837 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_61.pth was removed +2025-07-01 21:37:44,011 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2025-07-01 21:37:44,012 - pyskl - INFO - Best top1_acc is 0.9535 at 66 epoch. +2025-07-01 21:37:44,013 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9535, top5_acc: 0.9942 +2025-07-01 21:38:26,984 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:53:42, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 0.3645, loss: 0.3645 +2025-07-01 21:38:45,002 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:53:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3272, loss: 0.3272 +2025-07-01 21:39:02,981 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:53:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3834, loss: 0.3834 +2025-07-01 21:39:21,083 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:52:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3447, loss: 0.3447 +2025-07-01 21:39:38,862 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:52:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4077, loss: 0.4077 +2025-07-01 21:39:56,783 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:52:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3345, loss: 0.3345 +2025-07-01 21:40:14,595 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:51:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3762, loss: 0.3762 +2025-07-01 21:40:32,503 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:51:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3945, loss: 0.3945 +2025-07-01 21:40:51,122 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-01 21:41:29,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:41:29,030 - pyskl - INFO - +top1_acc 0.9459 +top5_acc 0.9964 +2025-07-01 21:41:29,031 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9459, top5_acc: 0.9964 +2025-07-01 21:42:12,049 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:50:57, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 0.3432, loss: 0.3432 +2025-07-01 21:42:30,203 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:50:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3644, loss: 0.3644 +2025-07-01 21:42:48,277 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:50:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.3509, loss: 0.3509 +2025-07-01 21:43:06,042 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:49:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3332, loss: 0.3332 +2025-07-01 21:43:24,005 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:49:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3353, loss: 0.3353 +2025-07-01 21:43:41,952 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:49:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9900, loss_cls: 0.3464, loss: 0.3464 +2025-07-01 21:43:59,760 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:49:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3763, loss: 0.3763 +2025-07-01 21:44:17,840 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:48:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.3989, loss: 0.3989 +2025-07-01 21:44:36,157 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-01 21:45:13,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:45:13,379 - pyskl - INFO - +top1_acc 0.9399 +top5_acc 0.9957 +2025-07-01 21:45:13,380 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9399, top5_acc: 0.9957 +2025-07-01 21:45:55,561 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:48:10, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3474, loss: 0.3474 +2025-07-01 21:46:13,718 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:47:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.3102, loss: 0.3102 +2025-07-01 21:46:31,648 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:47:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3499, loss: 0.3499 +2025-07-01 21:46:49,564 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:47:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3686, loss: 0.3686 +2025-07-01 21:47:07,354 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:46:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3705, loss: 0.3705 +2025-07-01 21:47:25,470 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:46:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4140, loss: 0.4140 +2025-07-01 21:47:43,429 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:46:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3060, loss: 0.3060 +2025-07-01 21:48:01,459 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:45:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3284, loss: 0.3284 +2025-07-01 21:48:19,686 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-01 21:48:57,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:48:57,675 - pyskl - INFO - +top1_acc 0.9363 +top5_acc 0.9929 +2025-07-01 21:48:57,676 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9363, top5_acc: 0.9929 +2025-07-01 21:49:40,912 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:45:25, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3163, loss: 0.3163 +2025-07-01 21:49:59,180 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:45:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3364, loss: 0.3364 +2025-07-01 21:50:17,344 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:44:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3159, loss: 0.3159 +2025-07-01 21:50:35,489 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:44:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4071, loss: 0.4071 +2025-07-01 21:50:53,585 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:44:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3459, loss: 0.3459 +2025-07-01 21:51:11,795 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:43:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3892, loss: 0.3892 +2025-07-01 21:51:29,828 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:43:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3884, loss: 0.3884 +2025-07-01 21:51:47,896 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:43:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3285, loss: 0.3285 +2025-07-01 21:52:06,177 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-01 21:52:44,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:52:44,119 - pyskl - INFO - +top1_acc 0.9450 +top5_acc 0.9949 +2025-07-01 21:52:44,120 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9450, top5_acc: 0.9949 +2025-07-01 21:53:26,703 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:42:41, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3460, loss: 0.3460 +2025-07-01 21:53:45,046 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:42:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.3201, loss: 0.3201 +2025-07-01 21:54:03,370 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:42:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3380, loss: 0.3380 +2025-07-01 21:54:21,388 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:41:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3524, loss: 0.3524 +2025-07-01 21:54:39,425 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:41:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3495, loss: 0.3495 +2025-07-01 21:54:57,463 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:41:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.3941, loss: 0.3941 +2025-07-01 21:55:15,944 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:40:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3155, loss: 0.3155 +2025-07-01 21:55:34,232 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:40:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2979, loss: 0.2979 +2025-07-01 21:55:52,499 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-01 21:56:30,117 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:56:30,153 - pyskl - INFO - +top1_acc 0.9329 +top5_acc 0.9954 +2025-07-01 21:56:30,155 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9329, top5_acc: 0.9954 +2025-07-01 21:57:13,358 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:39:57, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.3166, loss: 0.3166 +2025-07-01 21:57:31,346 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:39:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9894, loss_cls: 0.3762, loss: 0.3762 +2025-07-01 21:57:49,322 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:39:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3460, loss: 0.3460 +2025-07-01 21:58:07,706 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:39:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3554, loss: 0.3554 +2025-07-01 21:58:25,715 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:38:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3250, loss: 0.3250 +2025-07-01 21:58:43,795 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:38:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.3079, loss: 0.3079 +2025-07-01 21:59:01,845 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:38:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3007, loss: 0.3007 +2025-07-01 21:59:20,066 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:37:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3093, loss: 0.3093 +2025-07-01 21:59:38,516 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-01 22:00:16,041 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:00:16,064 - pyskl - INFO - +top1_acc 0.9439 +top5_acc 0.9937 +2025-07-01 22:00:16,065 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9439, top5_acc: 0.9937 +2025-07-01 22:00:59,163 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:37:13, time: 0.431, data_time: 0.248, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3557, loss: 0.3557 +2025-07-01 22:01:17,448 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:36:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.2843, loss: 0.2843 +2025-07-01 22:01:35,544 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:36:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3630, loss: 0.3630 +2025-07-01 22:01:53,795 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:36:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3405, loss: 0.3405 +2025-07-01 22:02:11,463 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:35:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3184, loss: 0.3184 +2025-07-01 22:02:29,566 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:35:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2786, loss: 0.2786 +2025-07-01 22:02:47,709 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:35:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2999, loss: 0.2999 +2025-07-01 22:03:05,648 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:34:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9906, loss_cls: 0.3480, loss: 0.3480 +2025-07-01 22:03:23,635 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-01 22:04:01,385 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:04:01,408 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9953 +2025-07-01 22:04:01,409 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9438, top5_acc: 0.9953 +2025-07-01 22:04:43,976 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:34:27, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3441, loss: 0.3441 +2025-07-01 22:05:01,952 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:34:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9925, loss_cls: 0.3276, loss: 0.3276 +2025-07-01 22:05:19,727 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:33:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9912, loss_cls: 0.3184, loss: 0.3184 +2025-07-01 22:05:37,866 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:33:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.2948, loss: 0.2948 +2025-07-01 22:05:55,919 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:33:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3287, loss: 0.3287 +2025-07-01 22:06:13,833 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:32:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3482, loss: 0.3482 +2025-07-01 22:06:31,681 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:32:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9931, loss_cls: 0.3041, loss: 0.3041 +2025-07-01 22:06:49,453 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:32:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9938, loss_cls: 0.3464, loss: 0.3464 +2025-07-01 22:07:07,865 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-01 22:07:45,923 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:07:45,947 - pyskl - INFO - +top1_acc 0.9544 +top5_acc 0.9960 +2025-07-01 22:07:45,952 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_66.pth was removed +2025-07-01 22:07:46,124 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_74.pth. +2025-07-01 22:07:46,125 - pyskl - INFO - Best top1_acc is 0.9544 at 74 epoch. +2025-07-01 22:07:46,127 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9544, top5_acc: 0.9960 +2025-07-01 22:08:28,458 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:31:40, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3512, loss: 0.3512 +2025-07-01 22:08:46,736 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:31:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3331, loss: 0.3331 +2025-07-01 22:09:04,801 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:31:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3243, loss: 0.3243 +2025-07-01 22:09:23,005 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:30:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2927, loss: 0.2927 +2025-07-01 22:09:41,097 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:30:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2957, loss: 0.2957 +2025-07-01 22:09:59,218 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:30:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3651, loss: 0.3651 +2025-07-01 22:10:17,446 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:29:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9912, loss_cls: 0.3447, loss: 0.3447 +2025-07-01 22:10:35,536 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:29:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3582, loss: 0.3582 +2025-07-01 22:10:54,050 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-01 22:11:31,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:11:31,619 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9949 +2025-07-01 22:11:31,620 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9388, top5_acc: 0.9949 +2025-07-01 22:12:13,781 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:28:55, time: 0.422, data_time: 0.237, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3470, loss: 0.3470 +2025-07-01 22:12:31,957 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:28:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9938, loss_cls: 0.3136, loss: 0.3136 +2025-07-01 22:12:49,929 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:28:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2906, loss: 0.2906 +2025-07-01 22:13:08,084 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:27:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3378, loss: 0.3378 +2025-07-01 22:13:25,952 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:27:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3265, loss: 0.3265 +2025-07-01 22:13:43,905 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:27:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2965, loss: 0.2965 +2025-07-01 22:14:02,023 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:27:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.3212, loss: 0.3212 +2025-07-01 22:14:20,012 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:26:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3293, loss: 0.3293 +2025-07-01 22:14:38,201 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-01 22:15:15,925 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:15:15,953 - pyskl - INFO - +top1_acc 0.9484 +top5_acc 0.9949 +2025-07-01 22:15:15,954 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9484, top5_acc: 0.9949 +2025-07-01 22:15:58,426 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:26:09, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.3004, loss: 0.3004 +2025-07-01 22:16:16,718 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:25:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.2876, loss: 0.2876 +2025-07-01 22:16:34,891 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:25:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3589, loss: 0.3589 +2025-07-01 22:16:53,456 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:25:12, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9944, loss_cls: 0.2613, loss: 0.2613 +2025-07-01 22:17:11,093 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:24:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.2798, loss: 0.2798 +2025-07-01 22:17:29,204 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:24:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3728, loss: 0.3728 +2025-07-01 22:17:47,325 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:24:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.3005, loss: 0.3005 +2025-07-01 22:18:05,481 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:23:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3232, loss: 0.3232 +2025-07-01 22:18:23,608 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-01 22:19:00,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:19:00,770 - pyskl - INFO - +top1_acc 0.9551 +top5_acc 0.9951 +2025-07-01 22:19:00,774 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_74.pth was removed +2025-07-01 22:19:00,966 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-01 22:19:00,966 - pyskl - INFO - Best top1_acc is 0.9551 at 77 epoch. +2025-07-01 22:19:00,968 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9551, top5_acc: 0.9951 +2025-07-01 22:19:42,859 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:23:23, time: 0.419, data_time: 0.233, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3244, loss: 0.3244 +2025-07-01 22:20:00,921 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:23:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3202, loss: 0.3202 +2025-07-01 22:20:18,866 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:22:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.2932, loss: 0.2932 +2025-07-01 22:20:37,129 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:22:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9925, loss_cls: 0.3122, loss: 0.3122 +2025-07-01 22:20:55,001 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:22:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3221, loss: 0.3221 +2025-07-01 22:21:12,638 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:21:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3209, loss: 0.3209 +2025-07-01 22:21:30,850 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:21:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2730, loss: 0.2730 +2025-07-01 22:21:49,077 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:21:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9981, loss_cls: 0.3232, loss: 0.3232 +2025-07-01 22:22:07,428 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-01 22:22:45,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:22:45,421 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9957 +2025-07-01 22:22:45,422 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9423, top5_acc: 0.9957 +2025-07-01 22:23:28,283 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:20:37, time: 0.429, data_time: 0.240, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 0.3460, loss: 0.3460 +2025-07-01 22:23:46,474 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:20:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2972, loss: 0.2972 +2025-07-01 22:24:04,546 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:19:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2654, loss: 0.2654 +2025-07-01 22:24:22,474 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:19:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.3260, loss: 0.3260 +2025-07-01 22:24:40,580 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:19:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3373, loss: 0.3373 +2025-07-01 22:24:58,700 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:19:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3149, loss: 0.3149 +2025-07-01 22:25:17,088 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:18:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3734, loss: 0.3734 +2025-07-01 22:25:35,282 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:18:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2767, loss: 0.2767 +2025-07-01 22:25:53,976 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-01 22:26:31,798 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:26:31,827 - pyskl - INFO - +top1_acc 0.9545 +top5_acc 0.9957 +2025-07-01 22:26:31,828 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9545, top5_acc: 0.9957 +2025-07-01 22:27:15,004 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:17:52, time: 0.432, data_time: 0.241, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9900, loss_cls: 0.3327, loss: 0.3327 +2025-07-01 22:27:33,391 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:17:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3291, loss: 0.3291 +2025-07-01 22:27:51,344 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:17:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.2772, loss: 0.2772 +2025-07-01 22:28:09,427 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:16:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2875, loss: 0.2875 +2025-07-01 22:28:27,383 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:16:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9944, loss_cls: 0.2692, loss: 0.2692 +2025-07-01 22:28:45,527 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:16:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3063, loss: 0.3063 +2025-07-01 22:29:03,734 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:15:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3298, loss: 0.3298 +2025-07-01 22:29:21,873 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:15:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3515, loss: 0.3515 +2025-07-01 22:29:40,378 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-01 22:30:17,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:30:17,478 - pyskl - INFO - +top1_acc 0.9595 +top5_acc 0.9961 +2025-07-01 22:30:17,482 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_77.pth was removed +2025-07-01 22:30:17,644 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. +2025-07-01 22:30:17,644 - pyskl - INFO - Best top1_acc is 0.9595 at 80 epoch. +2025-07-01 22:30:17,646 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9595, top5_acc: 0.9961 +2025-07-01 22:31:00,693 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:15:07, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.2998, loss: 0.2998 +2025-07-01 22:31:18,712 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:14:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2726, loss: 0.2726 +2025-07-01 22:31:36,739 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:14:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3207, loss: 0.3207 +2025-07-01 22:31:54,696 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:14:09, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2495, loss: 0.2495 +2025-07-01 22:32:12,722 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:13:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2496, loss: 0.2496 +2025-07-01 22:32:30,527 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:13:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3077, loss: 0.3077 +2025-07-01 22:32:48,604 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:13:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3157, loss: 0.3157 +2025-07-01 22:33:06,654 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:12:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3270, loss: 0.3270 +2025-07-01 22:33:24,734 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-01 22:34:01,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:34:01,833 - pyskl - INFO - +top1_acc 0.9398 +top5_acc 0.9946 +2025-07-01 22:34:01,834 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9398, top5_acc: 0.9946 +2025-07-01 22:34:44,335 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:12:20, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 0.2828, loss: 0.2828 +2025-07-01 22:35:02,328 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:12:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2763, loss: 0.2763 +2025-07-01 22:35:20,323 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:11:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.3044, loss: 0.3044 +2025-07-01 22:35:38,403 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:11:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9925, loss_cls: 0.3008, loss: 0.3008 +2025-07-01 22:35:56,494 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:11:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2905, loss: 0.2905 +2025-07-01 22:36:14,744 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:10:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.2856, loss: 0.2856 +2025-07-01 22:36:32,890 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:10:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2362, loss: 0.2362 +2025-07-01 22:36:50,974 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:10:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2437, loss: 0.2437 +2025-07-01 22:37:09,141 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-01 22:37:47,376 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:37:47,399 - pyskl - INFO - +top1_acc 0.9526 +top5_acc 0.9955 +2025-07-01 22:37:47,405 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9526, top5_acc: 0.9955 +2025-07-01 22:38:30,408 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:09:34, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9938, loss_cls: 0.2692, loss: 0.2692 +2025-07-01 22:38:48,501 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:09:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2389, loss: 0.2389 +2025-07-01 22:39:06,553 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:08:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2882, loss: 0.2882 +2025-07-01 22:39:24,603 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:08:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9925, loss_cls: 0.3032, loss: 0.3032 +2025-07-01 22:39:42,539 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:08:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2534, loss: 0.2534 +2025-07-01 22:40:00,667 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:07:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2428, loss: 0.2428 +2025-07-01 22:40:18,985 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:07:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2795, loss: 0.2795 +2025-07-01 22:40:37,210 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:07:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3393, loss: 0.3393 +2025-07-01 22:40:55,558 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-01 22:41:33,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:41:33,243 - pyskl - INFO - +top1_acc 0.9594 +top5_acc 0.9954 +2025-07-01 22:41:33,245 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9594, top5_acc: 0.9954 +2025-07-01 22:42:15,534 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:06:48, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2818, loss: 0.2818 +2025-07-01 22:42:33,442 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:06:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2731, loss: 0.2731 +2025-07-01 22:42:51,318 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:06:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2771, loss: 0.2771 +2025-07-01 22:43:09,210 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:05:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2815, loss: 0.2815 +2025-07-01 22:43:27,209 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:05:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3261, loss: 0.3261 +2025-07-01 22:43:45,102 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:05:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2849, loss: 0.2849 +2025-07-01 22:44:03,456 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:04:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9944, loss_cls: 0.2795, loss: 0.2795 +2025-07-01 22:44:21,461 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:04:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.3005, loss: 0.3005 +2025-07-01 22:44:39,567 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-01 22:45:16,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:45:16,802 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9958 +2025-07-01 22:45:16,803 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9530, top5_acc: 0.9958 +2025-07-01 22:45:59,562 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:04:01, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2401, loss: 0.2401 +2025-07-01 22:46:17,970 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:03:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1853, loss: 0.1853 +2025-07-01 22:46:36,427 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:03:23, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9944, loss_cls: 0.2553, loss: 0.2553 +2025-07-01 22:46:54,567 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:03:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9925, loss_cls: 0.2758, loss: 0.2758 +2025-07-01 22:47:12,527 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:02:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2647, loss: 0.2647 +2025-07-01 22:47:30,504 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:02:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2668, loss: 0.2668 +2025-07-01 22:47:48,632 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:02:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2270, loss: 0.2270 +2025-07-01 22:48:06,824 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:01:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2705, loss: 0.2705 +2025-07-01 22:48:25,452 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-01 22:49:04,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:49:04,249 - pyskl - INFO - +top1_acc 0.9569 +top5_acc 0.9961 +2025-07-01 22:49:04,250 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9569, top5_acc: 0.9961 +2025-07-01 22:49:47,452 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:01:16, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3125, loss: 0.3125 +2025-07-01 22:50:05,425 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:00:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2217, loss: 0.2217 +2025-07-01 22:50:23,406 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:00:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2278, loss: 0.2278 +2025-07-01 22:50:41,480 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:00:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.2912, loss: 0.2912 +2025-07-01 22:50:59,173 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:59:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9938, loss_cls: 0.2649, loss: 0.2649 +2025-07-01 22:51:17,071 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:59:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2799, loss: 0.2799 +2025-07-01 22:51:35,078 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:59:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2801, loss: 0.2801 +2025-07-01 22:51:53,020 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:59:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9938, loss_cls: 0.2640, loss: 0.2640 +2025-07-01 22:52:11,130 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-01 22:52:48,880 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:52:48,904 - pyskl - INFO - +top1_acc 0.9610 +top5_acc 0.9961 +2025-07-01 22:52:48,908 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_80.pth was removed +2025-07-01 22:52:49,074 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-07-01 22:52:49,075 - pyskl - INFO - Best top1_acc is 0.9610 at 86 epoch. +2025-07-01 22:52:49,076 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9610, top5_acc: 0.9961 +2025-07-01 22:53:32,308 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:58:29, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2334, loss: 0.2334 +2025-07-01 22:53:50,405 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:58:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.1973, loss: 0.1973 +2025-07-01 22:54:08,307 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:57:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.2188, loss: 0.2188 +2025-07-01 22:54:26,545 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:57:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2346, loss: 0.2346 +2025-07-01 22:54:44,243 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:57:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2209, loss: 0.2209 +2025-07-01 22:55:02,243 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:56:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2681, loss: 0.2681 +2025-07-01 22:55:20,659 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:56:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2863, loss: 0.2863 +2025-07-01 22:55:39,016 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:56:15, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2633, loss: 0.2633 +2025-07-01 22:55:57,396 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-01 22:56:35,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:56:35,050 - pyskl - INFO - +top1_acc 0.9485 +top5_acc 0.9964 +2025-07-01 22:56:35,051 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9485, top5_acc: 0.9964 +2025-07-01 22:57:17,803 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:55:43, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9944, loss_cls: 0.2686, loss: 0.2686 +2025-07-01 22:57:35,674 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:55:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2152, loss: 0.2152 +2025-07-01 22:57:53,600 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:55:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2303, loss: 0.2303 +2025-07-01 22:58:11,489 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:54:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2003, loss: 0.2003 +2025-07-01 22:58:29,314 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:54:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9950, loss_cls: 0.2347, loss: 0.2347 +2025-07-01 22:58:47,508 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:54:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9938, loss_cls: 0.2394, loss: 0.2394 +2025-07-01 22:59:05,618 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:53:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2498, loss: 0.2498 +2025-07-01 22:59:23,839 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2354, loss: 0.2354 +2025-07-01 22:59:42,230 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-01 23:00:20,126 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:00:20,149 - pyskl - INFO - +top1_acc 0.9502 +top5_acc 0.9961 +2025-07-01 23:00:20,150 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9502, top5_acc: 0.9961 +2025-07-01 23:01:03,041 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:52:56, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2028, loss: 0.2028 +2025-07-01 23:01:20,850 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:52:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2313, loss: 0.2313 +2025-07-01 23:01:38,795 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:52:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2617, loss: 0.2617 +2025-07-01 23:01:56,813 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:51:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2339, loss: 0.2339 +2025-07-01 23:02:14,594 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:51:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2427, loss: 0.2427 +2025-07-01 23:02:32,763 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:51:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2854, loss: 0.2854 +2025-07-01 23:02:50,885 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:51:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2507, loss: 0.2507 +2025-07-01 23:03:09,126 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:50:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9938, loss_cls: 0.2299, loss: 0.2299 +2025-07-01 23:03:27,370 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-01 23:04:04,760 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:04:04,788 - pyskl - INFO - +top1_acc 0.9535 +top5_acc 0.9962 +2025-07-01 23:04:04,789 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9535, top5_acc: 0.9962 +2025-07-01 23:04:47,467 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:50:09, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2554, loss: 0.2554 +2025-07-01 23:05:05,327 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:49:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2246, loss: 0.2246 +2025-07-01 23:05:23,314 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:49:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2426, loss: 0.2426 +2025-07-01 23:05:41,523 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:49:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2004, loss: 0.2004 +2025-07-01 23:05:59,477 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:48:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2532, loss: 0.2532 +2025-07-01 23:06:17,659 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:48:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9950, loss_cls: 0.2070, loss: 0.2070 +2025-07-01 23:06:36,002 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:48:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2471, loss: 0.2471 +2025-07-01 23:06:54,118 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:47:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2460, loss: 0.2460 +2025-07-01 23:07:12,494 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-01 23:07:49,703 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:07:49,726 - pyskl - INFO - +top1_acc 0.9596 +top5_acc 0.9961 +2025-07-01 23:07:49,727 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9596, top5_acc: 0.9961 +2025-07-01 23:08:32,340 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:47:22, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2749, loss: 0.2749 +2025-07-01 23:08:50,334 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:47:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2420, loss: 0.2420 +2025-07-01 23:09:08,049 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:46:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2474, loss: 0.2474 +2025-07-01 23:09:26,407 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:46:25, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.2007, loss: 0.2007 +2025-07-01 23:09:44,005 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:46:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2613, loss: 0.2613 +2025-07-01 23:10:02,330 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:45:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2689, loss: 0.2689 +2025-07-01 23:10:20,558 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2167, loss: 0.2167 +2025-07-01 23:10:38,670 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:45:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2563, loss: 0.2563 +2025-07-01 23:10:57,017 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-01 23:11:34,398 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:11:34,426 - pyskl - INFO - +top1_acc 0.9612 +top5_acc 0.9968 +2025-07-01 23:11:34,430 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_86.pth was removed +2025-07-01 23:11:34,635 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-07-01 23:11:34,636 - pyskl - INFO - Best top1_acc is 0.9612 at 91 epoch. +2025-07-01 23:11:34,637 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9612, top5_acc: 0.9968 +2025-07-01 23:12:17,572 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:44:36, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2681, loss: 0.2681 +2025-07-01 23:12:35,442 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:44:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2378, loss: 0.2378 +2025-07-01 23:12:53,438 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:43:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2738, loss: 0.2738 +2025-07-01 23:13:11,688 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:43:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2477, loss: 0.2477 +2025-07-01 23:13:29,547 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:43:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2280, loss: 0.2280 +2025-07-01 23:13:47,878 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:43:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2276, loss: 0.2276 +2025-07-01 23:14:05,910 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:42:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2701, loss: 0.2701 +2025-07-01 23:14:23,984 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:42:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2602, loss: 0.2602 +2025-07-01 23:14:42,470 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-01 23:15:19,934 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:15:19,957 - pyskl - INFO - +top1_acc 0.9623 +top5_acc 0.9965 +2025-07-01 23:15:19,962 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_91.pth was removed +2025-07-01 23:15:20,268 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2025-07-01 23:15:20,269 - pyskl - INFO - Best top1_acc is 0.9623 at 92 epoch. +2025-07-01 23:15:20,271 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9623, top5_acc: 0.9965 +2025-07-01 23:16:02,123 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:41:48, time: 0.418, data_time: 0.235, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2526, loss: 0.2526 +2025-07-01 23:16:20,538 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 0.2274, loss: 0.2274 +2025-07-01 23:16:38,644 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:41:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2069, loss: 0.2069 +2025-07-01 23:16:56,979 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:40:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2047, loss: 0.2047 +2025-07-01 23:17:14,702 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2325, loss: 0.2325 +2025-07-01 23:17:32,522 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:40:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 0.2234, loss: 0.2234 +2025-07-01 23:17:50,740 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:39:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2538, loss: 0.2538 +2025-07-01 23:18:08,922 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:39:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9950, loss_cls: 0.2422, loss: 0.2422 +2025-07-01 23:18:27,266 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-01 23:19:04,858 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:19:04,889 - pyskl - INFO - +top1_acc 0.9562 +top5_acc 0.9949 +2025-07-01 23:19:04,892 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9562, top5_acc: 0.9949 +2025-07-01 23:19:49,436 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:39:03, time: 0.445, data_time: 0.257, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1968, loss: 0.1968 +2025-07-01 23:20:07,849 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:38:44, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.1942, loss: 0.1942 +2025-07-01 23:20:26,326 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:38:25, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2228, loss: 0.2228 +2025-07-01 23:20:44,454 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:38:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1892, loss: 0.1892 +2025-07-01 23:21:02,314 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:37:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9969, loss_cls: 0.2088, loss: 0.2088 +2025-07-01 23:21:20,200 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1991, loss: 0.1991 +2025-07-01 23:21:38,807 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:09, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1710, loss: 0.1710 +2025-07-01 23:21:57,170 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:36:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2649, loss: 0.2649 +2025-07-01 23:22:15,678 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-01 23:22:53,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:22:53,263 - pyskl - INFO - +top1_acc 0.9573 +top5_acc 0.9961 +2025-07-01 23:22:53,264 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9573, top5_acc: 0.9961 +2025-07-01 23:23:36,679 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:36:17, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2066, loss: 0.2066 +2025-07-01 23:23:54,951 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:35:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1788, loss: 0.1788 +2025-07-01 23:24:13,220 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:35:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2600, loss: 0.2600 +2025-07-01 23:24:31,522 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:35:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1882, loss: 0.1882 +2025-07-01 23:24:49,377 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:35:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1807, loss: 0.1807 +2025-07-01 23:25:07,562 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:34:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2217, loss: 0.2217 +2025-07-01 23:25:26,178 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:34:23, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1731, loss: 0.1731 +2025-07-01 23:25:44,438 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:34:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2018, loss: 0.2018 +2025-07-01 23:26:02,996 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-01 23:26:41,064 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:26:41,090 - pyskl - INFO - +top1_acc 0.9587 +top5_acc 0.9960 +2025-07-01 23:26:41,092 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9587, top5_acc: 0.9960 +2025-07-01 23:27:24,434 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:31, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2133, loss: 0.2133 +2025-07-01 23:27:42,533 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2495, loss: 0.2495 +2025-07-01 23:28:00,757 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:32:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2022, loss: 0.2022 +2025-07-01 23:28:18,743 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.2118, loss: 0.2118 +2025-07-01 23:28:36,720 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:32:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1830, loss: 0.1830 +2025-07-01 23:28:54,828 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:31:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2106, loss: 0.2106 +2025-07-01 23:29:12,986 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2286, loss: 0.2286 +2025-07-01 23:29:31,056 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:31:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.2002, loss: 0.2002 +2025-07-01 23:29:49,363 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-01 23:30:26,517 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:30:26,544 - pyskl - INFO - +top1_acc 0.9542 +top5_acc 0.9961 +2025-07-01 23:30:26,546 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9542, top5_acc: 0.9961 +2025-07-01 23:31:09,708 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:30:44, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2436, loss: 0.2436 +2025-07-01 23:31:27,882 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:30:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1959, loss: 0.1959 +2025-07-01 23:31:45,949 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1726, loss: 0.1726 +2025-07-01 23:32:04,057 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:29:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1871, loss: 0.1871 +2025-07-01 23:32:21,899 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2117, loss: 0.2117 +2025-07-01 23:32:40,106 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9938, loss_cls: 0.2114, loss: 0.2114 +2025-07-01 23:32:58,311 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:28:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2107, loss: 0.2107 +2025-07-01 23:33:16,462 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1918, loss: 0.1918 +2025-07-01 23:33:35,036 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-01 23:34:12,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:34:12,301 - pyskl - INFO - +top1_acc 0.9634 +top5_acc 0.9965 +2025-07-01 23:34:12,306 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_92.pth was removed +2025-07-01 23:34:12,657 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-07-01 23:34:12,657 - pyskl - INFO - Best top1_acc is 0.9634 at 97 epoch. +2025-07-01 23:34:12,659 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9634, top5_acc: 0.9965 +2025-07-01 23:34:55,173 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:27:57, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1426, loss: 0.1426 +2025-07-01 23:35:13,336 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1485, loss: 0.1485 +2025-07-01 23:35:31,399 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2157, loss: 0.2157 +2025-07-01 23:35:49,506 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:27:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1713, loss: 0.1713 +2025-07-01 23:36:07,631 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:26:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.1898, loss: 0.1898 +2025-07-01 23:36:25,822 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:26:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.1910, loss: 0.1910 +2025-07-01 23:36:44,521 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:26:04, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1712, loss: 0.1712 +2025-07-01 23:37:02,700 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:25:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.1911, loss: 0.1911 +2025-07-01 23:37:21,589 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-01 23:37:58,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:37:58,666 - pyskl - INFO - +top1_acc 0.9659 +top5_acc 0.9961 +2025-07-01 23:37:58,670 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_97.pth was removed +2025-07-01 23:37:58,842 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-01 23:37:58,843 - pyskl - INFO - Best top1_acc is 0.9659 at 98 epoch. +2025-07-01 23:37:58,844 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9659, top5_acc: 0.9961 +2025-07-01 23:38:40,840 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:10, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1862, loss: 0.1862 +2025-07-01 23:38:59,112 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:24:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1813, loss: 0.1813 +2025-07-01 23:39:17,367 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2255, loss: 0.2255 +2025-07-01 23:39:35,246 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2206, loss: 0.2206 +2025-07-01 23:39:54,083 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:23:55, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1606, loss: 0.1606 +2025-07-01 23:40:12,332 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2064, loss: 0.2064 +2025-07-01 23:40:30,594 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1879, loss: 0.1879 +2025-07-01 23:40:48,583 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:22:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9956, loss_cls: 0.1907, loss: 0.1907 +2025-07-01 23:41:06,898 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-01 23:41:43,888 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:41:43,910 - pyskl - INFO - +top1_acc 0.9624 +top5_acc 0.9960 +2025-07-01 23:41:43,911 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9624, top5_acc: 0.9960 +2025-07-01 23:42:26,060 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:23, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1759, loss: 0.1759 +2025-07-01 23:42:44,353 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:22:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1355, loss: 0.1355 +2025-07-01 23:43:02,864 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:21:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.1935, loss: 0.1935 +2025-07-01 23:43:20,916 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.1973, loss: 0.1973 +2025-07-01 23:43:39,134 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9962, loss_cls: 0.1505, loss: 0.1505 +2025-07-01 23:43:57,330 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:20:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1621, loss: 0.1621 +2025-07-01 23:44:15,535 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1463, loss: 0.1463 +2025-07-01 23:44:33,682 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1477, loss: 0.1477 +2025-07-01 23:44:52,401 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-01 23:45:29,402 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:45:29,431 - pyskl - INFO - +top1_acc 0.9413 +top5_acc 0.9957 +2025-07-01 23:45:29,433 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9413, top5_acc: 0.9957 +2025-07-01 23:46:11,369 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:36, time: 0.419, data_time: 0.236, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2362, loss: 0.2362 +2025-07-01 23:46:29,622 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1814, loss: 0.1814 +2025-07-01 23:46:47,886 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:18:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1400, loss: 0.1400 +2025-07-01 23:47:06,027 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1328, loss: 0.1328 +2025-07-01 23:47:23,939 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1414, loss: 0.1414 +2025-07-01 23:47:41,888 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:18:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1165, loss: 0.1165 +2025-07-01 23:48:00,075 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:17:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1197, loss: 0.1197 +2025-07-01 23:48:18,400 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1629, loss: 0.1629 +2025-07-01 23:48:36,939 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-01 23:49:13,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:49:13,434 - pyskl - INFO - +top1_acc 0.9640 +top5_acc 0.9958 +2025-07-01 23:49:13,435 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9640, top5_acc: 0.9958 +2025-07-01 23:49:56,007 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:16:49, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1583, loss: 0.1583 +2025-07-01 23:50:14,478 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:30, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1220, loss: 0.1220 +2025-07-01 23:50:32,936 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1799, loss: 0.1799 +2025-07-01 23:50:50,958 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:15:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2029, loss: 0.2029 +2025-07-01 23:51:08,889 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9962, loss_cls: 0.1486, loss: 0.1486 +2025-07-01 23:51:26,918 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1493, loss: 0.1493 +2025-07-01 23:51:45,107 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:14:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1544, loss: 0.1544 +2025-07-01 23:52:03,232 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1854, loss: 0.1854 +2025-07-01 23:52:21,670 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-01 23:52:58,828 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:52:58,852 - pyskl - INFO - +top1_acc 0.9655 +top5_acc 0.9967 +2025-07-01 23:52:58,853 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9655, top5_acc: 0.9967 +2025-07-01 23:53:41,276 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:14:02, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1468, loss: 0.1468 +2025-07-01 23:53:59,631 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1519, loss: 0.1519 +2025-07-01 23:54:17,834 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1569, loss: 0.1569 +2025-07-01 23:54:35,914 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1322, loss: 0.1322 +2025-07-01 23:54:54,102 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:12:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1581, loss: 0.1581 +2025-07-01 23:55:12,046 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1663, loss: 0.1663 +2025-07-01 23:55:30,356 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1456, loss: 0.1456 +2025-07-01 23:55:48,415 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:11:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1554, loss: 0.1554 +2025-07-01 23:56:06,922 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-01 23:56:43,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:56:43,334 - pyskl - INFO - +top1_acc 0.9574 +top5_acc 0.9968 +2025-07-01 23:56:43,335 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9574, top5_acc: 0.9968 +2025-07-01 23:57:25,630 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:15, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1468, loss: 0.1468 +2025-07-01 23:57:43,791 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:10:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1294, loss: 0.1294 +2025-07-01 23:58:02,196 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:37, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 0.1639, loss: 0.1639 +2025-07-01 23:58:20,012 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1800, loss: 0.1800 +2025-07-01 23:58:38,049 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:09:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1584, loss: 0.1584 +2025-07-01 23:58:56,220 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1280, loss: 0.1280 +2025-07-01 23:59:14,369 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1508, loss: 0.1508 +2025-07-01 23:59:32,694 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:09:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1753, loss: 0.1753 +2025-07-01 23:59:51,418 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 00:00:28,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:00:28,372 - pyskl - INFO - +top1_acc 0.9680 +top5_acc 0.9964 +2025-07-02 00:00:28,376 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_98.pth was removed +2025-07-02 00:00:28,542 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-02 00:00:28,543 - pyskl - INFO - Best top1_acc is 0.9680 at 104 epoch. +2025-07-02 00:00:28,545 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9680, top5_acc: 0.9964 +2025-07-02 00:01:10,376 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:27, time: 0.418, data_time: 0.235, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 00:01:28,617 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.1871, loss: 0.1871 +2025-07-02 00:01:46,979 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:07:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1184, loss: 0.1184 +2025-07-02 00:02:04,837 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 0.1760, loss: 0.1760 +2025-07-02 00:02:22,779 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1815, loss: 0.1815 +2025-07-02 00:02:40,654 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:06:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1382, loss: 0.1382 +2025-07-02 00:02:59,053 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1522, loss: 0.1522 +2025-07-02 00:03:17,348 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1307, loss: 0.1307 +2025-07-02 00:03:35,818 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 00:04:12,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:04:12,704 - pyskl - INFO - +top1_acc 0.9647 +top5_acc 0.9967 +2025-07-02 00:04:12,705 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9647, top5_acc: 0.9967 +2025-07-02 00:04:54,621 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:40, time: 0.419, data_time: 0.236, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1734, loss: 0.1734 +2025-07-02 00:05:12,931 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1342, loss: 0.1342 +2025-07-02 00:05:31,429 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:05:02, time: 0.185, data_time: 0.001, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 00:05:49,407 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1590, loss: 0.1590 +2025-07-02 00:06:07,145 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1455, loss: 0.1455 +2025-07-02 00:06:25,442 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1527, loss: 0.1527 +2025-07-02 00:06:44,044 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:03:46, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1170, loss: 0.1170 +2025-07-02 00:07:02,096 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1248, loss: 0.1248 +2025-07-02 00:07:20,573 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 00:07:57,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:07:57,254 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9969 +2025-07-02 00:07:57,255 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9645, top5_acc: 0.9969 +2025-07-02 00:08:39,137 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:02:52, time: 0.419, data_time: 0.234, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 0.1556, loss: 0.1556 +2025-07-02 00:08:57,450 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1220, loss: 0.1220 +2025-07-02 00:09:15,644 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1626, loss: 0.1626 +2025-07-02 00:09:33,517 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:01:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1547, loss: 0.1547 +2025-07-02 00:09:51,333 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 00:10:09,280 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1509, loss: 0.1509 +2025-07-02 00:10:27,505 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:00:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 00:10:45,592 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1288, loss: 0.1288 +2025-07-02 00:11:04,128 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 00:11:41,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:11:41,164 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9964 +2025-07-02 00:11:41,165 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9645, top5_acc: 0.9964 +2025-07-02 00:12:23,125 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:05, time: 0.420, data_time: 0.235, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.1975, loss: 0.1975 +2025-07-02 00:12:41,432 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1088, loss: 0.1088 +2025-07-02 00:12:59,477 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9962, loss_cls: 0.1555, loss: 0.1555 +2025-07-02 00:13:17,463 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1266, loss: 0.1266 +2025-07-02 00:13:35,214 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:58:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 00:13:53,245 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1674, loss: 0.1674 +2025-07-02 00:14:11,602 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:11, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1650, loss: 0.1650 +2025-07-02 00:14:30,046 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:57:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9962, loss_cls: 0.1482, loss: 0.1482 +2025-07-02 00:14:48,870 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 00:15:26,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:15:26,143 - pyskl - INFO - +top1_acc 0.9688 +top5_acc 0.9968 +2025-07-02 00:15:26,147 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_104.pth was removed +2025-07-02 00:15:26,345 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2025-07-02 00:15:26,345 - pyskl - INFO - Best top1_acc is 0.9688 at 108 epoch. +2025-07-02 00:15:26,348 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9688, top5_acc: 0.9968 +2025-07-02 00:16:08,784 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:17, time: 0.424, data_time: 0.234, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1211, loss: 0.1211 +2025-07-02 00:16:27,519 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:56:58, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0995, loss: 0.0995 +2025-07-02 00:16:45,721 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 00:17:03,928 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1037, loss: 0.1037 +2025-07-02 00:17:21,756 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:56:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1114, loss: 0.1114 +2025-07-02 00:17:39,632 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1031, loss: 0.1031 +2025-07-02 00:17:57,833 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1024, loss: 0.1024 +2025-07-02 00:18:15,997 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1237, loss: 0.1237 +2025-07-02 00:18:34,429 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 00:19:10,803 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:19:10,827 - pyskl - INFO - +top1_acc 0.9720 +top5_acc 0.9962 +2025-07-02 00:19:10,831 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_108.pth was removed +2025-07-02 00:19:10,995 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2025-07-02 00:19:10,995 - pyskl - INFO - Best top1_acc is 0.9720 at 109 epoch. +2025-07-02 00:19:10,997 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9720, top5_acc: 0.9962 +2025-07-02 00:19:52,646 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:29, time: 0.416, data_time: 0.231, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1158, loss: 0.1158 +2025-07-02 00:20:10,873 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 00:20:28,926 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:53:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 00:20:46,906 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1182, loss: 0.1182 +2025-07-02 00:21:04,642 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1381, loss: 0.1381 +2025-07-02 00:21:22,599 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:52:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1626, loss: 0.1626 +2025-07-02 00:21:40,725 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1073, loss: 0.1073 +2025-07-02 00:21:58,560 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 00:22:16,822 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 00:22:53,587 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:22:53,609 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9968 +2025-07-02 00:22:53,610 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9630, top5_acc: 0.9968 +2025-07-02 00:23:35,564 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:41, time: 0.419, data_time: 0.232, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 00:23:53,929 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:22, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1127, loss: 0.1127 +2025-07-02 00:24:12,492 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:04, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1103, loss: 0.1103 +2025-07-02 00:24:30,973 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:45, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1190, loss: 0.1190 +2025-07-02 00:24:48,930 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1118, loss: 0.1118 +2025-07-02 00:25:07,189 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1521, loss: 0.1521 +2025-07-02 00:25:25,119 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:49:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1292, loss: 0.1292 +2025-07-02 00:25:43,323 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1239, loss: 0.1239 +2025-07-02 00:26:01,643 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 00:26:38,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:26:38,759 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9958 +2025-07-02 00:26:38,761 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9702, top5_acc: 0.9958 +2025-07-02 00:27:21,383 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:48:54, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 00:27:40,023 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:35, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1170, loss: 0.1170 +2025-07-02 00:27:58,099 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1601, loss: 0.1601 +2025-07-02 00:28:16,399 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1204, loss: 0.1204 +2025-07-02 00:28:34,390 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1229, loss: 0.1229 +2025-07-02 00:28:53,308 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:20, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1216, loss: 0.1216 +2025-07-02 00:29:11,690 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:47:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1256, loss: 0.1256 +2025-07-02 00:29:30,094 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 00:29:48,959 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 00:30:26,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:30:26,238 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9968 +2025-07-02 00:30:26,239 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9679, top5_acc: 0.9968 +2025-07-02 00:31:08,258 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:07, time: 0.420, data_time: 0.233, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1161, loss: 0.1161 +2025-07-02 00:31:26,226 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1203, loss: 0.1203 +2025-07-02 00:31:44,591 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0797, loss: 0.0797 +2025-07-02 00:32:02,508 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0797, loss: 0.0797 +2025-07-02 00:32:20,297 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:44:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0943, loss: 0.0943 +2025-07-02 00:32:38,174 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1073, loss: 0.1073 +2025-07-02 00:32:56,060 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1439, loss: 0.1439 +2025-07-02 00:33:14,204 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0971, loss: 0.0971 +2025-07-02 00:33:32,495 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 00:34:09,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:34:09,074 - pyskl - INFO - +top1_acc 0.9712 +top5_acc 0.9960 +2025-07-02 00:34:09,075 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9712, top5_acc: 0.9960 +2025-07-02 00:34:51,450 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:19, time: 0.424, data_time: 0.238, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9950, loss_cls: 0.1457, loss: 0.1457 +2025-07-02 00:35:09,767 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:43:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1101, loss: 0.1101 +2025-07-02 00:35:28,202 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0780, loss: 0.0780 +2025-07-02 00:35:46,352 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0939, loss: 0.0939 +2025-07-02 00:36:04,446 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1050, loss: 0.1050 +2025-07-02 00:36:22,539 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 00:36:40,532 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1052, loss: 0.1052 +2025-07-02 00:36:58,656 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1157, loss: 0.1157 +2025-07-02 00:37:17,217 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 00:37:53,558 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:37:53,583 - pyskl - INFO - +top1_acc 0.9716 +top5_acc 0.9964 +2025-07-02 00:37:53,585 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9716, top5_acc: 0.9964 +2025-07-02 00:38:35,645 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:31, time: 0.421, data_time: 0.240, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1011, loss: 0.1011 +2025-07-02 00:38:53,844 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1164, loss: 0.1164 +2025-07-02 00:39:11,845 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1160, loss: 0.1160 +2025-07-02 00:39:30,074 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0953, loss: 0.0953 +2025-07-02 00:39:47,972 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 00:40:05,938 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:38:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 00:40:24,207 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 00:40:42,144 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1016, loss: 0.1016 +2025-07-02 00:41:00,364 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 00:41:37,301 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:41:37,324 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9962 +2025-07-02 00:41:37,325 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9662, top5_acc: 0.9962 +2025-07-02 00:42:19,505 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:43, time: 0.422, data_time: 0.237, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1379, loss: 0.1379 +2025-07-02 00:42:37,937 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:25, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1073, loss: 0.1073 +2025-07-02 00:42:56,167 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1157, loss: 0.1157 +2025-07-02 00:43:14,596 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0975, loss: 0.0975 +2025-07-02 00:43:32,238 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1015, loss: 0.1015 +2025-07-02 00:43:50,235 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 00:44:08,236 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.0958, loss: 0.0958 +2025-07-02 00:44:26,208 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1092, loss: 0.1092 +2025-07-02 00:44:45,141 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 00:45:21,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:45:21,417 - pyskl - INFO - +top1_acc 0.9693 +top5_acc 0.9969 +2025-07-02 00:45:21,418 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9693, top5_acc: 0.9969 +2025-07-02 00:46:03,217 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:55, time: 0.418, data_time: 0.233, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 00:46:21,396 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 00:46:39,702 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1034, loss: 0.1034 +2025-07-02 00:46:57,625 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:33:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 00:47:15,904 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1118, loss: 0.1118 +2025-07-02 00:47:33,939 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0872, loss: 0.0872 +2025-07-02 00:47:52,174 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0723, loss: 0.0723 +2025-07-02 00:48:10,272 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1070, loss: 0.1070 +2025-07-02 00:48:28,550 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 00:49:06,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:49:06,048 - pyskl - INFO - +top1_acc 0.9719 +top5_acc 0.9960 +2025-07-02 00:49:06,049 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9719, top5_acc: 0.9960 +2025-07-02 00:49:48,106 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:08, time: 0.421, data_time: 0.234, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0698, loss: 0.0698 +2025-07-02 00:50:06,574 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:49, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 00:50:24,899 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 00:50:42,726 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0711, loss: 0.0711 +2025-07-02 00:51:00,379 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0872, loss: 0.0872 +2025-07-02 00:51:18,732 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 00:51:36,992 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0772, loss: 0.0772 +2025-07-02 00:51:54,909 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.0968, loss: 0.0968 +2025-07-02 00:52:13,475 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 00:52:50,463 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:52:50,486 - pyskl - INFO - +top1_acc 0.9743 +top5_acc 0.9964 +2025-07-02 00:52:50,490 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_109.pth was removed +2025-07-02 00:52:50,653 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-07-02 00:52:50,654 - pyskl - INFO - Best top1_acc is 0.9743 at 118 epoch. +2025-07-02 00:52:50,656 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9743, top5_acc: 0.9964 +2025-07-02 00:53:33,310 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:20, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 00:53:51,766 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:01, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0715, loss: 0.0715 +2025-07-02 00:54:09,995 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 00:54:28,118 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9969, loss_cls: 0.1014, loss: 0.1014 +2025-07-02 00:54:45,963 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0813, loss: 0.0813 +2025-07-02 00:55:03,918 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1081, loss: 0.1081 +2025-07-02 00:55:22,042 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0521, loss: 0.0521 +2025-07-02 00:55:39,786 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 00:55:58,251 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 00:56:35,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:56:35,027 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9958 +2025-07-02 00:56:35,028 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9726, top5_acc: 0.9958 +2025-07-02 00:57:17,257 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:32, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.0993, loss: 0.0993 +2025-07-02 00:57:35,706 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0645, loss: 0.0645 +2025-07-02 00:57:54,067 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0763, loss: 0.0763 +2025-07-02 00:58:12,279 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1014, loss: 0.1014 +2025-07-02 00:58:30,301 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 00:58:48,053 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 00:59:06,024 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0663, loss: 0.0663 +2025-07-02 00:59:23,955 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 00:59:42,864 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 01:00:19,805 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:00:19,831 - pyskl - INFO - +top1_acc 0.9669 +top5_acc 0.9967 +2025-07-02 01:00:19,832 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9669, top5_acc: 0.9967 +2025-07-02 01:01:02,429 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:44, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0842, loss: 0.0842 +2025-07-02 01:01:20,719 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 01:01:39,626 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:07, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0887, loss: 0.0887 +2025-07-02 01:01:58,017 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 01:02:15,976 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0677, loss: 0.0677 +2025-07-02 01:02:34,163 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 01:02:52,538 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:51, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0585, loss: 0.0585 +2025-07-02 01:03:10,729 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 01:03:29,285 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 01:04:06,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:04:06,529 - pyskl - INFO - +top1_acc 0.9744 +top5_acc 0.9969 +2025-07-02 01:04:06,534 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_118.pth was removed +2025-07-02 01:04:06,698 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 01:04:06,698 - pyskl - INFO - Best top1_acc is 0.9744 at 121 epoch. +2025-07-02 01:04:06,701 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9744, top5_acc: 0.9969 +2025-07-02 01:04:49,181 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:57, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 01:05:07,321 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 01:05:26,472 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:19, time: 0.191, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 01:05:44,584 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0725, loss: 0.0725 +2025-07-02 01:06:02,595 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 01:06:20,683 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0680, loss: 0.0680 +2025-07-02 01:06:38,834 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0633, loss: 0.0633 +2025-07-02 01:06:56,607 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 01:07:15,126 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 01:07:52,035 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:07:52,059 - pyskl - INFO - +top1_acc 0.9740 +top5_acc 0.9967 +2025-07-02 01:07:52,060 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9740, top5_acc: 0.9967 +2025-07-02 01:08:34,800 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:09, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0728, loss: 0.0728 +2025-07-02 01:08:53,127 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0705, loss: 0.0705 +2025-07-02 01:09:11,108 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0771, loss: 0.0771 +2025-07-02 01:09:29,227 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 01:09:47,081 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 01:10:04,899 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 01:10:22,915 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 01:10:40,822 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0723, loss: 0.0723 +2025-07-02 01:10:59,242 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 01:11:36,339 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:11:36,370 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9962 +2025-07-02 01:11:36,372 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9722, top5_acc: 0.9962 +2025-07-02 01:12:18,705 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:21, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 01:12:37,012 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0640, loss: 0.0640 +2025-07-02 01:12:55,003 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0747, loss: 0.0747 +2025-07-02 01:13:13,490 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0662, loss: 0.0662 +2025-07-02 01:13:31,299 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 01:13:49,389 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 01:14:07,090 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0666, loss: 0.0666 +2025-07-02 01:14:25,008 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 01:14:43,864 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 01:15:21,229 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:15:21,258 - pyskl - INFO - +top1_acc 0.9693 +top5_acc 0.9964 +2025-07-02 01:15:21,260 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9693, top5_acc: 0.9964 +2025-07-02 01:16:04,220 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:33, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0762, loss: 0.0762 +2025-07-02 01:16:22,722 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:14, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0600, loss: 0.0600 +2025-07-02 01:16:41,222 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:55, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 01:16:59,402 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 01:17:17,250 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 01:17:35,261 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 01:17:53,497 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 01:18:11,790 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0717, loss: 0.0717 +2025-07-02 01:18:30,200 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 01:19:07,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:19:07,770 - pyskl - INFO - +top1_acc 0.9701 +top5_acc 0.9961 +2025-07-02 01:19:07,771 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9701, top5_acc: 0.9961 +2025-07-02 01:19:50,766 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:45, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0870, loss: 0.0870 +2025-07-02 01:20:09,156 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0672, loss: 0.0672 +2025-07-02 01:20:27,898 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:08, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0673, loss: 0.0673 +2025-07-02 01:20:45,954 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 01:21:03,726 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 01:21:22,015 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9969, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 01:21:39,685 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 01:21:57,799 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0649, loss: 0.0649 +2025-07-02 01:22:16,263 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 01:22:53,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:22:53,501 - pyskl - INFO - +top1_acc 0.9738 +top5_acc 0.9962 +2025-07-02 01:22:53,502 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9738, top5_acc: 0.9962 +2025-07-02 01:23:35,572 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:57, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 01:23:53,874 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 01:24:12,285 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 01:24:30,382 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 01:24:48,636 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 01:25:07,018 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 01:25:24,818 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 01:25:43,300 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0585, loss: 0.0585 +2025-07-02 01:26:01,723 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 01:26:39,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:26:39,629 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9955 +2025-07-02 01:26:39,633 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_121.pth was removed +2025-07-02 01:26:39,799 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 01:26:39,799 - pyskl - INFO - Best top1_acc is 0.9754 at 127 epoch. +2025-07-02 01:26:39,801 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9754, top5_acc: 0.9955 +2025-07-02 01:27:22,617 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:10, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 01:27:40,998 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:51, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 01:27:59,618 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:32, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 01:28:17,840 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 01:28:35,982 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 01:28:54,185 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 01:29:12,151 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 01:29:30,557 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0572, loss: 0.0572 +2025-07-02 01:29:48,899 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 01:30:26,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:30:26,670 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9964 +2025-07-02 01:30:26,671 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9752, top5_acc: 0.9964 +2025-07-02 01:31:08,771 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:22, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0660, loss: 0.0660 +2025-07-02 01:31:27,172 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 01:31:45,365 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0699, loss: 0.0699 +2025-07-02 01:32:03,323 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 01:32:21,442 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 01:32:39,396 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 01:32:57,196 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 01:33:15,641 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 01:33:33,718 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 01:34:11,075 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:34:11,099 - pyskl - INFO - +top1_acc 0.9736 +top5_acc 0.9967 +2025-07-02 01:34:11,100 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9736, top5_acc: 0.9967 +2025-07-02 01:34:54,130 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:34, time: 0.430, data_time: 0.239, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 01:35:12,214 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 01:35:30,366 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 01:35:49,034 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:37, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 01:36:06,712 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0539, loss: 0.0539 +2025-07-02 01:36:24,681 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:57:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 01:36:42,788 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 01:37:01,102 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 01:37:19,397 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 01:37:57,762 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:37:57,791 - pyskl - INFO - +top1_acc 0.9744 +top5_acc 0.9968 +2025-07-02 01:37:57,792 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9744, top5_acc: 0.9968 +2025-07-02 01:38:39,409 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:46, time: 0.416, data_time: 0.231, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 01:38:57,670 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 01:39:15,831 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0717, loss: 0.0717 +2025-07-02 01:39:33,825 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 01:39:51,878 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 01:40:10,143 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 01:40:28,346 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 01:40:46,446 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0477, loss: 0.0477 +2025-07-02 01:41:04,581 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 01:41:42,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:41:42,073 - pyskl - INFO - +top1_acc 0.9751 +top5_acc 0.9965 +2025-07-02 01:41:42,074 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9751, top5_acc: 0.9965 +2025-07-02 01:42:24,367 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:57, time: 0.423, data_time: 0.236, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 01:42:42,639 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 01:43:00,900 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 01:43:19,044 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 01:43:37,071 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 01:43:55,490 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 01:44:13,669 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 01:44:31,714 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 01:44:50,171 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 01:45:27,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:45:27,631 - pyskl - INFO - +top1_acc 0.9743 +top5_acc 0.9961 +2025-07-02 01:45:27,632 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9743, top5_acc: 0.9961 +2025-07-02 01:46:10,403 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:09, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 01:46:28,622 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 01:46:46,613 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 01:47:05,121 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:13, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 01:47:22,920 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 01:47:40,669 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 01:47:58,753 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 01:48:16,844 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 01:48:35,151 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 01:49:12,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:49:13,005 - pyskl - INFO - +top1_acc 0.9744 +top5_acc 0.9962 +2025-07-02 01:49:13,006 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9744, top5_acc: 0.9962 +2025-07-02 01:49:55,141 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:21, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0544, loss: 0.0544 +2025-07-02 01:50:13,277 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 01:50:31,378 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 01:50:49,680 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 01:51:07,669 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 01:51:25,790 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 01:51:43,574 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 01:52:01,302 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 01:52:19,484 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 01:52:57,336 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:52:57,360 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9964 +2025-07-02 01:52:57,361 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9750, top5_acc: 0.9964 +2025-07-02 01:53:39,328 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:33, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 01:53:57,594 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 01:54:15,706 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 01:54:33,730 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 01:54:51,758 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 01:55:09,805 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 01:55:28,015 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 01:55:46,032 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 01:56:04,336 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 01:56:42,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:56:42,604 - pyskl - INFO - +top1_acc 0.9763 +top5_acc 0.9962 +2025-07-02 01:56:42,609 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_127.pth was removed +2025-07-02 01:56:42,839 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 01:56:42,839 - pyskl - INFO - Best top1_acc is 0.9763 at 135 epoch. +2025-07-02 01:56:42,843 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9763, top5_acc: 0.9962 +2025-07-02 01:57:25,280 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:45, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 01:57:43,269 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 01:58:01,611 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 01:58:19,608 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 01:58:37,786 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 01:58:56,122 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 01:59:14,341 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 01:59:32,472 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 01:59:50,548 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 02:00:29,588 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:00:29,611 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9960 +2025-07-02 02:00:29,613 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9754, top5_acc: 0.9960 +2025-07-02 02:01:12,371 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:57, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 02:01:30,796 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:38, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0567, loss: 0.0567 +2025-07-02 02:01:49,123 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0559, loss: 0.0559 +2025-07-02 02:02:07,456 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:38:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:02:25,573 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 02:02:43,518 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 02:03:01,328 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 02:03:19,304 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 02:03:37,786 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 02:04:16,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:04:16,319 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9964 +2025-07-02 02:04:16,320 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9758, top5_acc: 0.9964 +2025-07-02 02:04:58,201 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:08, time: 0.419, data_time: 0.237, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 02:05:16,311 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 02:05:34,728 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 02:05:53,054 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 02:06:10,994 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 02:06:28,950 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 02:06:47,129 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 02:07:05,512 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:57, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 02:07:23,914 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 02:08:01,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:08:01,364 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9961 +2025-07-02 02:08:01,365 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9761, top5_acc: 0.9961 +2025-07-02 02:08:43,927 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:20, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 02:09:02,146 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 02:09:20,089 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 02:09:38,144 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 02:09:56,225 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 02:10:14,237 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 02:10:32,609 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 02:10:50,717 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 02:11:09,036 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 02:11:46,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:11:46,904 - pyskl - INFO - +top1_acc 0.9759 +top5_acc 0.9962 +2025-07-02 02:11:46,906 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9759, top5_acc: 0.9962 +2025-07-02 02:12:29,077 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:32, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 02:12:46,888 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 02:13:04,823 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 02:13:22,871 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 02:13:40,928 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 02:13:59,250 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 02:14:17,456 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 02:14:35,744 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0237, loss: 0.0237 +2025-07-02 02:14:53,979 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 02:15:33,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:15:33,639 - pyskl - INFO - +top1_acc 0.9766 +top5_acc 0.9961 +2025-07-02 02:15:33,644 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_135.pth was removed +2025-07-02 02:15:33,850 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-07-02 02:15:33,851 - pyskl - INFO - Best top1_acc is 0.9766 at 140 epoch. +2025-07-02 02:15:33,853 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9766, top5_acc: 0.9961 +2025-07-02 02:16:17,074 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:44, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 02:16:35,106 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 02:16:53,372 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 02:17:11,503 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 02:17:29,773 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 02:17:47,806 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 02:18:06,280 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:51, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 02:18:24,276 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 02:18:42,918 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 02:19:20,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:19:20,965 - pyskl - INFO - +top1_acc 0.9759 +top5_acc 0.9958 +2025-07-02 02:19:20,967 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9759, top5_acc: 0.9958 +2025-07-02 02:20:03,692 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:56, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 02:20:21,610 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 02:20:39,718 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 02:20:57,532 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 02:21:15,331 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 02:21:33,654 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 02:21:51,652 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 02:22:09,557 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 02:22:28,142 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 02:23:05,715 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:23:05,746 - pyskl - INFO - +top1_acc 0.9759 +top5_acc 0.9969 +2025-07-02 02:23:05,748 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9759, top5_acc: 0.9969 +2025-07-02 02:23:48,298 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:07, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 02:24:06,306 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 02:24:24,378 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 02:24:42,349 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0200, loss: 0.0200 +2025-07-02 02:25:00,230 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 02:25:18,515 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 02:25:36,398 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0216, loss: 0.0216 +2025-07-02 02:25:54,191 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 02:26:12,823 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 02:26:50,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:26:50,234 - pyskl - INFO - +top1_acc 0.9765 +top5_acc 0.9965 +2025-07-02 02:26:50,235 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9765, top5_acc: 0.9965 +2025-07-02 02:27:32,379 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:19, time: 0.421, data_time: 0.236, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 02:27:50,502 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 02:28:08,848 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:28:27,049 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 02:28:45,030 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 02:29:03,167 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 02:29:21,345 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0162, loss: 0.0162 +2025-07-02 02:29:39,118 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 02:29:57,614 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 02:30:35,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:30:35,078 - pyskl - INFO - +top1_acc 0.9769 +top5_acc 0.9962 +2025-07-02 02:30:35,083 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_140.pth was removed +2025-07-02 02:30:35,273 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2025-07-02 02:30:35,273 - pyskl - INFO - Best top1_acc is 0.9769 at 144 epoch. +2025-07-02 02:30:35,275 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9769, top5_acc: 0.9962 +2025-07-02 02:31:18,142 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:31, time: 0.429, data_time: 0.240, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 02:31:36,277 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 02:31:54,298 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0122, loss: 0.0122 +2025-07-02 02:32:12,465 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0261, loss: 0.0261 +2025-07-02 02:32:30,307 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 02:32:48,533 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 02:33:06,510 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 02:33:24,389 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:33:42,701 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 02:34:20,615 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:34:20,638 - pyskl - INFO - +top1_acc 0.9748 +top5_acc 0.9961 +2025-07-02 02:34:20,639 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9748, top5_acc: 0.9961 +2025-07-02 02:35:03,398 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:42, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 02:35:21,698 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9988, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 02:35:40,137 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 02:35:58,336 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 02:36:16,110 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 02:36:34,434 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 02:36:52,856 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 02:37:10,938 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 02:37:29,386 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 02:38:07,055 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:38:07,078 - pyskl - INFO - +top1_acc 0.9769 +top5_acc 0.9968 +2025-07-02 02:38:07,079 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9769, top5_acc: 0.9968 +2025-07-02 02:38:49,330 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:54, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 02:39:07,295 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 02:39:25,721 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 02:39:43,838 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 02:40:01,692 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 02:40:19,627 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 02:40:37,896 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 02:40:55,851 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 02:41:14,314 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 02:41:52,040 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:41:52,063 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9961 +2025-07-02 02:41:52,064 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9761, top5_acc: 0.9961 +2025-07-02 02:42:34,509 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:06, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0226, loss: 0.0226 +2025-07-02 02:42:52,492 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 02:43:10,657 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 02:43:28,563 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 02:43:46,440 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 02:44:04,444 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0201, loss: 0.0201 +2025-07-02 02:44:22,612 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 02:44:40,509 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 02:44:59,068 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 02:45:37,904 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:45:37,928 - pyskl - INFO - +top1_acc 0.9759 +top5_acc 0.9962 +2025-07-02 02:45:37,929 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9759, top5_acc: 0.9962 +2025-07-02 02:46:20,848 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:17, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 02:46:38,877 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 02:46:56,802 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 02:47:14,649 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:47:32,743 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 02:47:50,689 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 02:48:08,625 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 02:48:26,620 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 02:48:44,926 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 02:49:22,209 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:49:22,232 - pyskl - INFO - +top1_acc 0.9763 +top5_acc 0.9961 +2025-07-02 02:49:22,233 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9763, top5_acc: 0.9961 +2025-07-02 02:50:04,441 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 02:50:22,467 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:50:40,713 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 02:50:58,631 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 02:51:16,763 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 02:51:34,820 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 02:51:52,666 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 02:52:10,723 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 02:52:29,010 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 02:53:05,783 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:53:05,806 - pyskl - INFO - +top1_acc 0.9765 +top5_acc 0.9969 +2025-07-02 02:53:05,807 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9765, top5_acc: 0.9969 +2025-07-02 02:53:13,400 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 02:56:49,366 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 02:56:49,366 - pyskl - INFO - top1_acc: 0.9782 +2025-07-02 02:56:49,366 - pyskl - INFO - top5_acc: 0.9968 +2025-07-02 02:56:49,367 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/b_3/best_top1_acc_epoch_144.pth +2025-07-02 03:00:19,863 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 03:00:19,864 - pyskl - INFO - top1_acc: 0.9783 +2025-07-02 03:00:19,864 - pyskl - INFO - top5_acc: 0.9965 diff --git a/pku_mmd_xview/b_3/20250701_173241.log.json b/pku_mmd_xview/b_3/20250701_173241.log.json new file mode 100644 index 0000000000000000000000000000000000000000..a3195efa505be2eb57e7df77bca26d0e09cc031d --- /dev/null +++ b/pku_mmd_xview/b_3/20250701_173241.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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0.00025, "top1_acc": 0.99312, "top5_acc": 0.99938, "loss_cls": 0.03402, "loss": 0.03402, "time": 0.17954} +{"mode": "val", "epoch": 147, "iter": 450, "lr": 2e-05, "top1_acc": 0.97607, "top5_acc": 0.9961} +{"mode": "train", "epoch": 148, "iter": 100, "lr": 2e-05, "memory": 2903, "data_time": 0.24189, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02261, "loss": 0.02261, "time": 0.4244} +{"mode": "train", "epoch": 148, "iter": 200, "lr": 2e-05, "memory": 2903, "data_time": 0.00027, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.02625, "loss": 0.02625, "time": 0.17982} +{"mode": "train", "epoch": 148, "iter": 300, "lr": 2e-05, "memory": 2903, "data_time": 0.00022, "top1_acc": 0.995, "top5_acc": 0.99875, "loss_cls": 0.02844, "loss": 0.02844, "time": 0.18164} +{"mode": "train", "epoch": 148, "iter": 400, "lr": 2e-05, "memory": 2903, "data_time": 0.00022, "top1_acc": 0.99312, "top5_acc": 0.99938, "loss_cls": 0.03281, "loss": 0.03281, "time": 0.17905} +{"mode": "train", "epoch": 148, 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"epoch": 150, "iter": 450, "lr": 0.0, "top1_acc": 0.97649, "top5_acc": 0.99694} diff --git a/pku_mmd_xview/b_3/b_3.py b/pku_mmd_xview/b_3/b_3.py new file mode 100644 index 0000000000000000000000000000000000000000..846845f746d575209382a8b802d118b1755315e8 --- /dev/null +++ b/pku_mmd_xview/b_3/b_3.py @@ -0,0 +1,98 @@ +modality = 'b' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/b_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['b']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/b_3/best_pred.pkl b/pku_mmd_xview/b_3/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..408f595c41d9b975f5b8a65ba61c22e6d9686f40 --- /dev/null +++ b/pku_mmd_xview/b_3/best_pred.pkl @@ -0,0 +1,3 @@ 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3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 04:14:10,928 - pyskl - INFO - Config: modality = 'bm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/bm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 04:14:10,928 - pyskl - INFO - Set random seed to 647439345, deterministic: False +2025-07-02 04:14:15,549 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-02 04:14:22,945 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 04:14:22,947 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm +2025-07-02 04:14:22,947 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 04:14:22,947 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 04:14:22,948 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm by HardDiskBackend. +2025-07-02 04:15:05,200 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:47:45, time: 0.422, data_time: 0.248, memory: 2902, top1_acc: 0.0669, top5_acc: 0.2175, loss_cls: 4.2627, loss: 4.2627 +2025-07-02 04:15:22,296 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 11:05:07, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.0938, top5_acc: 0.3013, loss_cls: 4.1449, loss: 4.1449 +2025-07-02 04:15:39,465 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:31:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.0981, top5_acc: 0.3638, loss_cls: 3.9612, loss: 3.9612 +2025-07-02 04:15:56,763 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:44:55, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.1256, top5_acc: 0.4281, loss_cls: 3.7456, loss: 3.7456 +2025-07-02 04:16:13,939 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:16:27, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.1531, top5_acc: 0.5044, loss_cls: 3.5579, loss: 3.5579 +2025-07-02 04:16:31,288 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:58:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.1844, top5_acc: 0.5625, loss_cls: 3.3494, loss: 3.3494 +2025-07-02 04:16:48,645 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:44:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.2213, top5_acc: 0.6281, loss_cls: 3.1342, loss: 3.1342 +2025-07-02 04:17:06,004 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:34:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.2606, top5_acc: 0.6462, loss_cls: 3.0616, loss: 3.0616 +2025-07-02 04:17:23,715 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 04:18:01,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:18:01,466 - pyskl - INFO - +top1_acc 0.0929 +top5_acc 0.2847 +2025-07-02 04:18:01,633 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 04:18:01,634 - pyskl - INFO - Best top1_acc is 0.0929 at 1 epoch. +2025-07-02 04:18:01,635 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.0929, top5_acc: 0.2847 +2025-07-02 04:18:42,870 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:36:06, time: 0.412, data_time: 0.240, memory: 2902, top1_acc: 0.3019, top5_acc: 0.7400, loss_cls: 2.7886, loss: 2.7886 +2025-07-02 04:19:00,346 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:29:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.3212, top5_acc: 0.7362, loss_cls: 2.7208, loss: 2.7208 +2025-07-02 04:19:18,255 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:25:06, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.3606, top5_acc: 0.7712, loss_cls: 2.6051, loss: 2.6051 +2025-07-02 04:19:35,769 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:20:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.4006, top5_acc: 0.7944, loss_cls: 2.4689, loss: 2.4689 +2025-07-02 04:19:52,884 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:15:53, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.3956, top5_acc: 0.8113, loss_cls: 2.4526, loss: 2.4526 +2025-07-02 04:20:10,456 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:12:31, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.4081, top5_acc: 0.8063, loss_cls: 2.4223, loss: 2.4223 +2025-07-02 04:20:28,092 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:09:38, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.4350, top5_acc: 0.8219, loss_cls: 2.3595, loss: 2.3595 +2025-07-02 04:20:45,603 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:06:53, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.4675, top5_acc: 0.8375, loss_cls: 2.2087, loss: 2.2087 +2025-07-02 04:21:03,724 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 04:21:41,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:21:41,719 - pyskl - INFO - +top1_acc 0.4792 +top5_acc 0.8783 +2025-07-02 04:21:41,724 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_1.pth was removed +2025-07-02 04:21:41,945 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 04:21:41,946 - pyskl - INFO - Best top1_acc is 0.4792 at 2 epoch. +2025-07-02 04:21:41,948 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.4792, top5_acc: 0.8783 +2025-07-02 04:22:24,070 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:10:54, time: 0.421, data_time: 0.248, memory: 2902, top1_acc: 0.5094, top5_acc: 0.8700, loss_cls: 2.0995, loss: 2.0995 +2025-07-02 04:22:41,635 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:08:28, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.4925, top5_acc: 0.8669, loss_cls: 2.0936, loss: 2.0936 +2025-07-02 04:22:59,408 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:06:27, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.5244, top5_acc: 0.8825, loss_cls: 2.0381, loss: 2.0381 +2025-07-02 04:23:16,829 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:04:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5613, top5_acc: 0.8975, loss_cls: 1.9078, loss: 1.9078 +2025-07-02 04:23:34,234 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:02:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5319, top5_acc: 0.8950, loss_cls: 1.9643, loss: 1.9643 +2025-07-02 04:23:51,975 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 7:00:35, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.5312, top5_acc: 0.8950, loss_cls: 1.9459, loss: 1.9459 +2025-07-02 04:24:09,660 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:59:02, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.5656, top5_acc: 0.8912, loss_cls: 1.8821, loss: 1.8821 +2025-07-02 04:24:27,071 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:57:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5663, top5_acc: 0.8956, loss_cls: 1.8554, loss: 1.8554 +2025-07-02 04:24:45,332 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 04:25:22,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:25:23,007 - pyskl - INFO - +top1_acc 0.6197 +top5_acc 0.9270 +2025-07-02 04:25:23,012 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_2.pth was removed +2025-07-02 04:25:23,186 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 04:25:23,187 - pyskl - INFO - Best top1_acc is 0.6197 at 3 epoch. +2025-07-02 04:25:23,189 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.6197, top5_acc: 0.9270 +2025-07-02 04:26:04,419 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:59:38, time: 0.412, data_time: 0.241, memory: 2902, top1_acc: 0.5975, top5_acc: 0.9069, loss_cls: 1.7543, loss: 1.7543 +2025-07-02 04:26:21,533 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:57:49, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.6144, top5_acc: 0.9181, loss_cls: 1.7259, loss: 1.7259 +2025-07-02 04:26:38,924 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:56:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5850, top5_acc: 0.9094, loss_cls: 1.8047, loss: 1.8047 +2025-07-02 04:26:56,201 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:54:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6219, top5_acc: 0.9187, loss_cls: 1.6502, loss: 1.6502 +2025-07-02 04:27:13,518 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:53:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6094, top5_acc: 0.9225, loss_cls: 1.6786, loss: 1.6786 +2025-07-02 04:27:30,945 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:52:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6156, top5_acc: 0.9344, loss_cls: 1.6228, loss: 1.6228 +2025-07-02 04:27:48,627 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:51:04, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6262, top5_acc: 0.9331, loss_cls: 1.5962, loss: 1.5962 +2025-07-02 04:28:06,185 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:49:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6306, top5_acc: 0.9200, loss_cls: 1.6343, loss: 1.6343 +2025-07-02 04:28:24,236 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 04:29:01,662 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:29:01,685 - pyskl - INFO - +top1_acc 0.4683 +top5_acc 0.8599 +2025-07-02 04:29:01,686 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.4683, top5_acc: 0.8599 +2025-07-02 04:29:43,539 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:52:10, time: 0.418, data_time: 0.244, memory: 2902, top1_acc: 0.6406, top5_acc: 0.9263, loss_cls: 1.6128, loss: 1.6128 +2025-07-02 04:30:00,897 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:50:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6125, top5_acc: 0.9237, loss_cls: 1.6616, loss: 1.6616 +2025-07-02 04:30:18,818 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:50:09, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.6306, top5_acc: 0.9281, loss_cls: 1.6175, loss: 1.6175 +2025-07-02 04:30:36,172 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:49:02, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6644, top5_acc: 0.9337, loss_cls: 1.5028, loss: 1.5028 +2025-07-02 04:30:53,483 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:47:57, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6550, top5_acc: 0.9437, loss_cls: 1.4658, loss: 1.4658 +2025-07-02 04:31:11,019 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:47:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6787, top5_acc: 0.9369, loss_cls: 1.4818, loss: 1.4818 +2025-07-02 04:31:28,606 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:46:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6775, top5_acc: 0.9469, loss_cls: 1.4533, loss: 1.4533 +2025-07-02 04:31:45,716 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:45:02, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.6531, top5_acc: 0.9463, loss_cls: 1.4928, loss: 1.4928 +2025-07-02 04:32:03,644 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 04:32:40,999 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:32:41,038 - pyskl - INFO - +top1_acc 0.3652 +top5_acc 0.7468 +2025-07-02 04:32:41,040 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.3652, top5_acc: 0.7468 +2025-07-02 04:33:22,205 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:46:25, time: 0.412, data_time: 0.241, memory: 2902, top1_acc: 0.6925, top5_acc: 0.9400, loss_cls: 1.4198, loss: 1.4198 +2025-07-02 04:33:39,146 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:45:16, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.6806, top5_acc: 0.9494, loss_cls: 1.4155, loss: 1.4155 +2025-07-02 04:33:56,695 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:44:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6644, top5_acc: 0.9463, loss_cls: 1.4365, loss: 1.4365 +2025-07-02 04:34:13,935 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:43:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6975, top5_acc: 0.9544, loss_cls: 1.3345, loss: 1.3345 +2025-07-02 04:34:31,278 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:42:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6956, top5_acc: 0.9437, loss_cls: 1.3581, loss: 1.3581 +2025-07-02 04:34:48,744 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:41:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7106, top5_acc: 0.9500, loss_cls: 1.3499, loss: 1.3499 +2025-07-02 04:35:06,153 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:41:00, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7019, top5_acc: 0.9525, loss_cls: 1.3293, loss: 1.3293 +2025-07-02 04:35:23,243 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:40:05, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7050, top5_acc: 0.9481, loss_cls: 1.3512, loss: 1.3512 +2025-07-02 04:35:41,278 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 04:36:18,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:36:18,110 - pyskl - INFO - +top1_acc 0.0470 +top5_acc 0.3419 +2025-07-02 04:36:18,111 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.0470, top5_acc: 0.3419 +2025-07-02 04:36:59,867 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:41:27, time: 0.418, data_time: 0.244, memory: 2902, top1_acc: 0.7044, top5_acc: 0.9525, loss_cls: 1.3574, loss: 1.3574 +2025-07-02 04:37:17,487 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:40:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7075, top5_acc: 0.9513, loss_cls: 1.3257, loss: 1.3257 +2025-07-02 04:37:34,868 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:39:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7119, top5_acc: 0.9450, loss_cls: 1.3103, loss: 1.3103 +2025-07-02 04:37:52,251 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:39:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6956, top5_acc: 0.9537, loss_cls: 1.3114, loss: 1.3114 +2025-07-02 04:38:09,538 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:38:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7231, top5_acc: 0.9544, loss_cls: 1.2587, loss: 1.2587 +2025-07-02 04:38:27,138 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:37:46, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7025, top5_acc: 0.9544, loss_cls: 1.3081, loss: 1.3081 +2025-07-02 04:38:45,292 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:37:19, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.7281, top5_acc: 0.9587, loss_cls: 1.2374, loss: 1.2374 +2025-07-02 04:39:02,935 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:36:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7256, top5_acc: 0.9506, loss_cls: 1.2589, loss: 1.2589 +2025-07-02 04:39:21,127 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 04:40:00,987 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:40:01,016 - pyskl - INFO - +top1_acc 0.5179 +top5_acc 0.8689 +2025-07-02 04:40:01,017 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.5179, top5_acc: 0.8689 +2025-07-02 04:40:43,251 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:37:57, time: 0.422, data_time: 0.250, memory: 2902, top1_acc: 0.7188, top5_acc: 0.9569, loss_cls: 1.2643, loss: 1.2643 +2025-07-02 04:41:00,356 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:37:08, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7456, top5_acc: 0.9556, loss_cls: 1.2037, loss: 1.2037 +2025-07-02 04:41:17,672 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:36:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7462, top5_acc: 0.9537, loss_cls: 1.2003, loss: 1.2003 +2025-07-02 04:41:34,756 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:35:38, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7331, top5_acc: 0.9606, loss_cls: 1.2078, loss: 1.2078 +2025-07-02 04:41:52,071 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:34:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7369, top5_acc: 0.9594, loss_cls: 1.2070, loss: 1.2070 +2025-07-02 04:42:09,313 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:34:14, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7406, top5_acc: 0.9581, loss_cls: 1.2302, loss: 1.2302 +2025-07-02 04:42:26,438 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:33:30, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7356, top5_acc: 0.9600, loss_cls: 1.1983, loss: 1.1983 +2025-07-02 04:42:43,818 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:32:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7312, top5_acc: 0.9637, loss_cls: 1.1761, loss: 1.1761 +2025-07-02 04:43:01,362 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 04:43:39,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:43:39,220 - pyskl - INFO - +top1_acc 0.3337 +top5_acc 0.7259 +2025-07-02 04:43:39,222 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.3337, top5_acc: 0.7259 +2025-07-02 04:44:21,992 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:34:03, time: 0.428, data_time: 0.252, memory: 2902, top1_acc: 0.7356, top5_acc: 0.9613, loss_cls: 1.1962, loss: 1.1962 +2025-07-02 04:44:39,339 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:33:24, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7712, top5_acc: 0.9688, loss_cls: 1.0766, loss: 1.0766 +2025-07-02 04:44:56,681 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:32:45, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7531, top5_acc: 0.9625, loss_cls: 1.1301, loss: 1.1301 +2025-07-02 04:45:13,969 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:32:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7388, top5_acc: 0.9569, loss_cls: 1.1823, loss: 1.1823 +2025-07-02 04:45:31,350 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:31:29, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7462, top5_acc: 0.9525, loss_cls: 1.1771, loss: 1.1771 +2025-07-02 04:45:48,868 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:30:54, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7450, top5_acc: 0.9581, loss_cls: 1.1617, loss: 1.1617 +2025-07-02 04:46:06,188 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:30:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7581, top5_acc: 0.9619, loss_cls: 1.1241, loss: 1.1241 +2025-07-02 04:46:23,327 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:29:38, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7188, top5_acc: 0.9587, loss_cls: 1.2380, loss: 1.2380 +2025-07-02 04:46:41,356 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 04:47:18,174 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:47:18,196 - pyskl - INFO - +top1_acc 0.2114 +top5_acc 0.6462 +2025-07-02 04:47:18,197 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.2114, top5_acc: 0.6462 +2025-07-02 04:47:59,991 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:30:22, time: 0.418, data_time: 0.247, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9675, loss_cls: 1.0743, loss: 1.0743 +2025-07-02 04:48:17,137 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:29:43, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7850, top5_acc: 0.9663, loss_cls: 1.0710, loss: 1.0710 +2025-07-02 04:48:34,637 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:29:09, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7719, top5_acc: 0.9587, loss_cls: 1.1305, loss: 1.1305 +2025-07-02 04:48:52,034 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:28:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9575, loss_cls: 1.1046, loss: 1.1046 +2025-07-02 04:49:09,163 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:27:57, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7662, top5_acc: 0.9625, loss_cls: 1.1125, loss: 1.1125 +2025-07-02 04:49:26,096 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:27:16, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.7612, top5_acc: 0.9594, loss_cls: 1.1207, loss: 1.1207 +2025-07-02 04:49:43,485 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:26:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7525, top5_acc: 0.9625, loss_cls: 1.1563, loss: 1.1563 +2025-07-02 04:50:00,696 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:26:07, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7775, top5_acc: 0.9644, loss_cls: 1.0699, loss: 1.0699 +2025-07-02 04:50:18,096 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 04:50:55,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:50:55,579 - pyskl - INFO - +top1_acc 0.6108 +top5_acc 0.9091 +2025-07-02 04:50:55,579 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.6108, top5_acc: 0.9091 +2025-07-02 04:51:37,526 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:26:46, time: 0.419, data_time: 0.245, memory: 2902, top1_acc: 0.7662, top5_acc: 0.9625, loss_cls: 1.1026, loss: 1.1026 +2025-07-02 04:51:54,567 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:26:08, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7719, top5_acc: 0.9712, loss_cls: 1.0495, loss: 1.0495 +2025-07-02 04:52:11,803 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:25:33, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7638, top5_acc: 0.9750, loss_cls: 1.0754, loss: 1.0754 +2025-07-02 04:52:29,071 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:24:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9681, loss_cls: 1.0509, loss: 1.0509 +2025-07-02 04:52:46,210 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:24:23, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7581, top5_acc: 0.9619, loss_cls: 1.1303, loss: 1.1303 +2025-07-02 04:53:03,599 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:23:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7837, top5_acc: 0.9650, loss_cls: 1.0657, loss: 1.0657 +2025-07-02 04:53:20,916 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:23:19, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7544, top5_acc: 0.9625, loss_cls: 1.1465, loss: 1.1465 +2025-07-02 04:53:38,155 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:22:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7719, top5_acc: 0.9669, loss_cls: 1.0714, loss: 1.0714 +2025-07-02 04:53:56,074 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 04:54:33,525 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:54:33,550 - pyskl - INFO - +top1_acc 0.7260 +top5_acc 0.9630 +2025-07-02 04:54:33,554 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_3.pth was removed +2025-07-02 04:54:33,722 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 04:54:33,722 - pyskl - INFO - Best top1_acc is 0.7260 at 11 epoch. +2025-07-02 04:54:33,724 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.7260, top5_acc: 0.9630 +2025-07-02 04:55:15,363 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:23:15, time: 0.416, data_time: 0.242, memory: 2902, top1_acc: 0.7756, top5_acc: 0.9719, loss_cls: 1.0431, loss: 1.0431 +2025-07-02 04:55:32,740 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:22:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9712, loss_cls: 1.0720, loss: 1.0720 +2025-07-02 04:55:50,244 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:22:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7738, top5_acc: 0.9712, loss_cls: 1.0506, loss: 1.0506 +2025-07-02 04:56:07,387 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:21:40, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9681, loss_cls: 1.0241, loss: 1.0241 +2025-07-02 04:56:25,027 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:21:12, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9606, loss_cls: 1.0609, loss: 1.0609 +2025-07-02 04:56:42,376 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:20:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9762, loss_cls: 1.0329, loss: 1.0329 +2025-07-02 04:56:59,851 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:20:12, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9650, loss_cls: 1.0235, loss: 1.0235 +2025-07-02 04:57:16,911 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:19:38, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9712, loss_cls: 1.0217, loss: 1.0217 +2025-07-02 04:57:34,369 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 04:58:11,108 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:58:11,131 - pyskl - INFO - +top1_acc 0.4516 +top5_acc 0.7828 +2025-07-02 04:58:11,132 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.4516, top5_acc: 0.7828 +2025-07-02 04:58:52,599 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:20:00, time: 0.415, data_time: 0.240, memory: 2902, top1_acc: 0.7856, top5_acc: 0.9725, loss_cls: 0.9915, loss: 0.9915 +2025-07-02 04:59:09,510 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:19:25, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.7756, top5_acc: 0.9681, loss_cls: 1.0361, loss: 1.0361 +2025-07-02 04:59:26,764 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:18:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9656, loss_cls: 0.9826, loss: 0.9826 +2025-07-02 04:59:44,068 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:18:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7775, top5_acc: 0.9650, loss_cls: 1.0477, loss: 1.0477 +2025-07-02 05:00:01,211 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:17:51, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7750, top5_acc: 0.9681, loss_cls: 1.0326, loss: 1.0326 +2025-07-02 05:00:18,584 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:17:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7950, top5_acc: 0.9694, loss_cls: 1.0230, loss: 1.0230 +2025-07-02 05:00:36,252 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:16:56, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9756, loss_cls: 1.0105, loss: 1.0105 +2025-07-02 05:00:53,629 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:16:27, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9688, loss_cls: 1.0230, loss: 1.0230 +2025-07-02 05:01:11,594 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 05:01:49,395 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:01:49,422 - pyskl - INFO - +top1_acc 0.3562 +top5_acc 0.7191 +2025-07-02 05:01:49,423 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.3562, top5_acc: 0.7191 +2025-07-02 05:02:31,202 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:16:48, time: 0.418, data_time: 0.245, memory: 2902, top1_acc: 0.7812, top5_acc: 0.9712, loss_cls: 1.0139, loss: 1.0139 +2025-07-02 05:02:48,155 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:16:15, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7738, top5_acc: 0.9681, loss_cls: 1.0119, loss: 1.0119 +2025-07-02 05:03:05,371 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:15:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9681, loss_cls: 1.0264, loss: 1.0264 +2025-07-02 05:03:22,765 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:15:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9744, loss_cls: 0.9659, loss: 0.9659 +2025-07-02 05:03:39,701 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:14:43, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8106, top5_acc: 0.9694, loss_cls: 0.9382, loss: 0.9382 +2025-07-02 05:03:57,329 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:14:18, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9769, loss_cls: 0.9735, loss: 0.9735 +2025-07-02 05:04:14,670 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:13:50, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7919, top5_acc: 0.9712, loss_cls: 0.9755, loss: 0.9755 +2025-07-02 05:04:32,076 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:13:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9775, loss_cls: 0.9076, loss: 0.9076 +2025-07-02 05:04:49,641 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 05:05:26,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:05:26,688 - pyskl - INFO - +top1_acc 0.5318 +top5_acc 0.8105 +2025-07-02 05:05:26,689 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.5318, top5_acc: 0.8105 +2025-07-02 05:06:09,172 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:13:45, time: 0.425, data_time: 0.248, memory: 2902, top1_acc: 0.8131, top5_acc: 0.9706, loss_cls: 0.9440, loss: 0.9440 +2025-07-02 05:06:26,473 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:13:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9738, loss_cls: 0.9438, loss: 0.9438 +2025-07-02 05:06:43,888 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:12:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7919, top5_acc: 0.9750, loss_cls: 0.9940, loss: 0.9940 +2025-07-02 05:07:01,184 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:12:21, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9675, loss_cls: 0.9872, loss: 0.9872 +2025-07-02 05:07:18,394 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:11:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9794, loss_cls: 0.9367, loss: 0.9367 +2025-07-02 05:07:36,032 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:11:27, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9675, loss_cls: 0.9826, loss: 0.9826 +2025-07-02 05:07:53,472 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:11:00, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9688, loss_cls: 0.9685, loss: 0.9685 +2025-07-02 05:08:10,718 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:10:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9681, loss_cls: 0.9840, loss: 0.9840 +2025-07-02 05:08:28,103 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 05:09:05,671 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:09:05,699 - pyskl - INFO - +top1_acc 0.2875 +top5_acc 0.7238 +2025-07-02 05:09:05,700 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.2875, top5_acc: 0.7238 +2025-07-02 05:09:48,242 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:10:52, time: 0.425, data_time: 0.251, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9744, loss_cls: 0.9315, loss: 0.9315 +2025-07-02 05:10:05,576 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:10:24, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9806, loss_cls: 0.8510, loss: 0.8510 +2025-07-02 05:10:22,981 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:09:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9756, loss_cls: 0.9333, loss: 0.9333 +2025-07-02 05:10:40,523 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:09:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9719, loss_cls: 0.9264, loss: 0.9264 +2025-07-02 05:10:57,793 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:09:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9769, loss_cls: 0.9404, loss: 0.9404 +2025-07-02 05:11:15,067 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:08:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9700, loss_cls: 0.9935, loss: 0.9935 +2025-07-02 05:11:32,338 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:08:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9719, loss_cls: 0.9588, loss: 0.9588 +2025-07-02 05:11:49,619 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:07:42, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7987, top5_acc: 0.9669, loss_cls: 0.9837, loss: 0.9837 +2025-07-02 05:12:07,183 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 05:12:44,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:12:44,030 - pyskl - INFO - +top1_acc 0.5485 +top5_acc 0.8808 +2025-07-02 05:12:44,031 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.5485, top5_acc: 0.8808 +2025-07-02 05:13:25,721 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:07:51, time: 0.417, data_time: 0.239, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9788, loss_cls: 0.8996, loss: 0.8996 +2025-07-02 05:13:43,139 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:07:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9731, loss_cls: 0.9080, loss: 0.9080 +2025-07-02 05:14:00,494 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:06:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9750, loss_cls: 0.8966, loss: 0.8966 +2025-07-02 05:14:17,846 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:06:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9731, loss_cls: 0.9475, loss: 0.9475 +2025-07-02 05:14:35,187 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:06:05, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9738, loss_cls: 0.9144, loss: 0.9144 +2025-07-02 05:14:52,628 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:05:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9719, loss_cls: 0.9585, loss: 0.9585 +2025-07-02 05:15:09,951 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:05:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9663, loss_cls: 0.9853, loss: 0.9853 +2025-07-02 05:15:27,379 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:04:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9756, loss_cls: 0.8927, loss: 0.8927 +2025-07-02 05:15:44,986 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 05:16:22,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:16:22,216 - pyskl - INFO - +top1_acc 0.8229 +top5_acc 0.9812 +2025-07-02 05:16:22,220 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_11.pth was removed +2025-07-02 05:16:22,417 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-07-02 05:16:22,417 - pyskl - INFO - Best top1_acc is 0.8229 at 17 epoch. +2025-07-02 05:16:22,419 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8229, top5_acc: 0.9812 +2025-07-02 05:17:04,339 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:04:56, time: 0.419, data_time: 0.245, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9812, loss_cls: 0.8762, loss: 0.8762 +2025-07-02 05:17:21,323 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:04:27, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9781, loss_cls: 0.9037, loss: 0.9037 +2025-07-02 05:17:38,425 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:03:59, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9675, loss_cls: 0.9189, loss: 0.9189 +2025-07-02 05:17:56,038 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:03:36, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8244, top5_acc: 0.9712, loss_cls: 0.8816, loss: 0.8816 +2025-07-02 05:18:13,145 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:03:08, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9744, loss_cls: 0.8953, loss: 0.8953 +2025-07-02 05:18:30,674 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:02:44, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8006, top5_acc: 0.9681, loss_cls: 0.9480, loss: 0.9480 +2025-07-02 05:18:47,968 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:02:18, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8094, top5_acc: 0.9738, loss_cls: 0.9200, loss: 0.9200 +2025-07-02 05:19:05,483 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:01:54, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9694, loss_cls: 0.9275, loss: 0.9275 +2025-07-02 05:19:23,291 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 05:20:01,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:20:01,576 - pyskl - INFO - +top1_acc 0.7274 +top5_acc 0.9509 +2025-07-02 05:20:01,578 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.7274, top5_acc: 0.9509 +2025-07-02 05:20:43,940 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:02:02, time: 0.424, data_time: 0.247, memory: 2902, top1_acc: 0.8094, top5_acc: 0.9750, loss_cls: 0.9128, loss: 0.9128 +2025-07-02 05:21:01,101 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:01:35, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 0.8498, loss: 0.8498 +2025-07-02 05:21:18,355 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:01:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9750, loss_cls: 0.8309, loss: 0.8309 +2025-07-02 05:21:36,094 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:00:46, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8050, top5_acc: 0.9706, loss_cls: 0.9209, loss: 0.9209 +2025-07-02 05:21:53,439 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:00:21, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9775, loss_cls: 0.9130, loss: 0.9130 +2025-07-02 05:22:10,822 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 5:59:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9806, loss_cls: 0.8771, loss: 0.8771 +2025-07-02 05:22:28,138 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:59:31, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9775, loss_cls: 0.8932, loss: 0.8932 +2025-07-02 05:22:45,646 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:59:07, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8094, top5_acc: 0.9694, loss_cls: 0.9197, loss: 0.9197 +2025-07-02 05:23:03,364 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 05:23:40,481 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:23:40,504 - pyskl - INFO - +top1_acc 0.7526 +top5_acc 0.9670 +2025-07-02 05:23:40,505 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.7526, top5_acc: 0.9670 +2025-07-02 05:24:22,243 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:59:09, time: 0.417, data_time: 0.243, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9756, loss_cls: 0.8917, loss: 0.8917 +2025-07-02 05:24:39,461 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:58:43, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9769, loss_cls: 0.8698, loss: 0.8698 +2025-07-02 05:24:56,977 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:58:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9788, loss_cls: 0.9063, loss: 0.9063 +2025-07-02 05:25:14,417 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:57:55, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9819, loss_cls: 0.8590, loss: 0.8590 +2025-07-02 05:25:31,789 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:57:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9781, loss_cls: 0.8701, loss: 0.8701 +2025-07-02 05:25:49,074 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:57:05, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9738, loss_cls: 0.9126, loss: 0.9126 +2025-07-02 05:26:06,341 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:56:40, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9719, loss_cls: 0.9157, loss: 0.9157 +2025-07-02 05:26:23,831 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:56:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7975, top5_acc: 0.9688, loss_cls: 0.9594, loss: 0.9594 +2025-07-02 05:26:41,476 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 05:27:20,489 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:27:20,517 - pyskl - INFO - +top1_acc 0.4788 +top5_acc 0.8358 +2025-07-02 05:27:20,518 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.4788, top5_acc: 0.8358 +2025-07-02 05:28:02,634 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:56:18, time: 0.421, data_time: 0.247, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9775, loss_cls: 0.8929, loss: 0.8929 +2025-07-02 05:28:19,853 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:55:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8131, top5_acc: 0.9725, loss_cls: 0.8864, loss: 0.8864 +2025-07-02 05:28:37,123 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:55:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 0.7937, loss: 0.7937 +2025-07-02 05:28:54,445 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:55:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9788, loss_cls: 0.8082, loss: 0.8082 +2025-07-02 05:29:11,675 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:54:38, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9800, loss_cls: 0.8488, loss: 0.8488 +2025-07-02 05:29:29,028 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:54:13, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9738, loss_cls: 0.9125, loss: 0.9125 +2025-07-02 05:29:46,254 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:53:48, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9744, loss_cls: 0.8435, loss: 0.8435 +2025-07-02 05:30:03,701 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:53:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9788, loss_cls: 0.8771, loss: 0.8771 +2025-07-02 05:30:21,559 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 05:30:59,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:30:59,206 - pyskl - INFO - +top1_acc 0.5763 +top5_acc 0.9036 +2025-07-02 05:30:59,207 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.5763, top5_acc: 0.9036 +2025-07-02 05:31:41,283 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:53:24, time: 0.421, data_time: 0.248, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9831, loss_cls: 0.8317, loss: 0.8317 +2025-07-02 05:31:58,653 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:53:00, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9794, loss_cls: 0.8213, loss: 0.8213 +2025-07-02 05:32:15,794 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:52:35, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9694, loss_cls: 0.8850, loss: 0.8850 +2025-07-02 05:32:33,355 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:52:12, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9794, loss_cls: 0.8297, loss: 0.8297 +2025-07-02 05:32:50,573 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:51:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8113, top5_acc: 0.9800, loss_cls: 0.8936, loss: 0.8936 +2025-07-02 05:33:07,913 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:51:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9744, loss_cls: 0.8487, loss: 0.8487 +2025-07-02 05:33:25,450 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:51:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9794, loss_cls: 0.8935, loss: 0.8935 +2025-07-02 05:33:42,933 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:50:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9725, loss_cls: 0.8775, loss: 0.8775 +2025-07-02 05:34:00,429 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 05:34:37,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:34:37,715 - pyskl - INFO - +top1_acc 0.4459 +top5_acc 0.7731 +2025-07-02 05:34:37,716 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.4459, top5_acc: 0.7731 +2025-07-02 05:35:19,475 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:50:33, time: 0.418, data_time: 0.242, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9719, loss_cls: 0.9052, loss: 0.9052 +2025-07-02 05:35:36,808 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:50:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9844, loss_cls: 0.8184, loss: 0.8184 +2025-07-02 05:35:54,172 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:49:46, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9806, loss_cls: 0.8262, loss: 0.8262 +2025-07-02 05:36:11,505 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:49:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9806, loss_cls: 0.8136, loss: 0.8136 +2025-07-02 05:36:28,843 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:48:58, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9788, loss_cls: 0.7947, loss: 0.7947 +2025-07-02 05:36:46,207 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:48:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9844, loss_cls: 0.7674, loss: 0.7674 +2025-07-02 05:37:03,545 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:48:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8269, top5_acc: 0.9794, loss_cls: 0.8345, loss: 0.8345 +2025-07-02 05:37:20,885 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:47:47, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9744, loss_cls: 0.8550, loss: 0.8550 +2025-07-02 05:37:38,522 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 05:38:15,944 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:38:15,973 - pyskl - INFO - +top1_acc 0.7687 +top5_acc 0.9665 +2025-07-02 05:38:15,974 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.7687, top5_acc: 0.9665 +2025-07-02 05:38:57,821 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:47:42, time: 0.418, data_time: 0.245, memory: 2902, top1_acc: 0.8113, top5_acc: 0.9719, loss_cls: 0.9370, loss: 0.9370 +2025-07-02 05:39:14,996 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:47:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9812, loss_cls: 0.8053, loss: 0.8053 +2025-07-02 05:39:32,324 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:46:54, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9769, loss_cls: 0.7952, loss: 0.7952 +2025-07-02 05:39:49,896 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:46:32, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9775, loss_cls: 0.7705, loss: 0.7705 +2025-07-02 05:40:07,105 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:46:08, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9738, loss_cls: 0.8439, loss: 0.8439 +2025-07-02 05:40:24,407 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:45:44, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 0.8472, loss: 0.8472 +2025-07-02 05:40:41,584 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:45:20, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9769, loss_cls: 0.8061, loss: 0.8061 +2025-07-02 05:40:59,006 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:44:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 0.8086, loss: 0.8086 +2025-07-02 05:41:16,611 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 05:41:53,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:41:53,739 - pyskl - INFO - +top1_acc 0.7721 +top5_acc 0.9725 +2025-07-02 05:41:53,740 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.7721, top5_acc: 0.9725 +2025-07-02 05:42:35,538 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:44:50, time: 0.418, data_time: 0.240, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9819, loss_cls: 0.8283, loss: 0.8283 +2025-07-02 05:42:52,764 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:44:26, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9825, loss_cls: 0.7846, loss: 0.7846 +2025-07-02 05:43:09,933 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:44:02, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9781, loss_cls: 0.8337, loss: 0.8337 +2025-07-02 05:43:27,406 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:43:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9819, loss_cls: 0.7962, loss: 0.7962 +2025-07-02 05:43:44,831 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:43:17, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9800, loss_cls: 0.8540, loss: 0.8540 +2025-07-02 05:44:02,050 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:42:53, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9831, loss_cls: 0.8303, loss: 0.8303 +2025-07-02 05:44:19,434 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:42:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 0.7999, loss: 0.7999 +2025-07-02 05:44:36,726 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:42:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9775, loss_cls: 0.8093, loss: 0.8093 +2025-07-02 05:44:55,056 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 05:45:32,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:45:32,587 - pyskl - INFO - +top1_acc 0.8461 +top5_acc 0.9847 +2025-07-02 05:45:32,591 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_17.pth was removed +2025-07-02 05:45:32,790 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-02 05:45:32,790 - pyskl - INFO - Best top1_acc is 0.8461 at 25 epoch. +2025-07-02 05:45:32,792 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8461, top5_acc: 0.9847 +2025-07-02 05:46:15,356 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:42:03, time: 0.426, data_time: 0.252, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 0.7938, loss: 0.7938 +2025-07-02 05:46:32,605 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:41:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9788, loss_cls: 0.7983, loss: 0.7983 +2025-07-02 05:46:49,961 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:41:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 0.8077, loss: 0.8077 +2025-07-02 05:47:07,287 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:40:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9838, loss_cls: 0.7864, loss: 0.7864 +2025-07-02 05:47:24,621 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:40:30, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9881, loss_cls: 0.7584, loss: 0.7584 +2025-07-02 05:47:41,783 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:40:07, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9788, loss_cls: 0.8093, loss: 0.8093 +2025-07-02 05:47:59,220 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:39:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.7904, loss: 0.7904 +2025-07-02 05:48:16,480 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:39:21, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9819, loss_cls: 0.7882, loss: 0.7882 +2025-07-02 05:48:34,272 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 05:49:11,530 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:49:11,552 - pyskl - INFO - +top1_acc 0.6659 +top5_acc 0.9272 +2025-07-02 05:49:11,553 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.6659, top5_acc: 0.9272 +2025-07-02 05:49:53,866 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:39:14, time: 0.423, data_time: 0.247, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 0.7906, loss: 0.7906 +2025-07-02 05:50:10,900 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:38:50, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 0.7752, loss: 0.7752 +2025-07-02 05:50:28,171 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:38:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9800, loss_cls: 0.7640, loss: 0.7640 +2025-07-02 05:50:45,725 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:38:05, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9775, loss_cls: 0.7797, loss: 0.7797 +2025-07-02 05:51:03,150 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:37:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9756, loss_cls: 0.8184, loss: 0.8184 +2025-07-02 05:51:20,343 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:37:19, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9844, loss_cls: 0.7783, loss: 0.7783 +2025-07-02 05:51:37,707 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:36:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9775, loss_cls: 0.7716, loss: 0.7716 +2025-07-02 05:51:55,158 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:36:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9831, loss_cls: 0.7573, loss: 0.7573 +2025-07-02 05:52:12,998 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 05:52:49,682 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:52:49,705 - pyskl - INFO - +top1_acc 0.7880 +top5_acc 0.9601 +2025-07-02 05:52:49,706 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.7880, top5_acc: 0.9601 +2025-07-02 05:53:32,901 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:36:31, time: 0.432, data_time: 0.256, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9781, loss_cls: 0.8411, loss: 0.8411 +2025-07-02 05:53:50,355 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:36:08, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9831, loss_cls: 0.7516, loss: 0.7516 +2025-07-02 05:54:07,552 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:35:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9762, loss_cls: 0.8247, loss: 0.8247 +2025-07-02 05:54:25,136 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:35:24, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 0.7327, loss: 0.7327 +2025-07-02 05:54:42,609 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:35:02, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9869, loss_cls: 0.7170, loss: 0.7170 +2025-07-02 05:54:59,772 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:34:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 0.8110, loss: 0.8110 +2025-07-02 05:55:17,006 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:34:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9838, loss_cls: 0.7645, loss: 0.7645 +2025-07-02 05:55:34,299 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:33:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 0.7591, loss: 0.7591 +2025-07-02 05:55:52,015 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 05:56:29,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:56:29,074 - pyskl - INFO - +top1_acc 0.8130 +top5_acc 0.9795 +2025-07-02 05:56:29,075 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8130, top5_acc: 0.9795 +2025-07-02 05:57:10,419 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:33:39, time: 0.413, data_time: 0.241, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 0.7872, loss: 0.7872 +2025-07-02 05:57:27,919 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:33:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 0.7067, loss: 0.7067 +2025-07-02 05:57:45,185 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:32:55, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9825, loss_cls: 0.7552, loss: 0.7552 +2025-07-02 05:58:02,644 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:32:33, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 0.7447, loss: 0.7447 +2025-07-02 05:58:19,916 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:32:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9781, loss_cls: 0.7486, loss: 0.7486 +2025-07-02 05:58:37,269 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:31:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9788, loss_cls: 0.7549, loss: 0.7549 +2025-07-02 05:58:54,616 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:31:26, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9756, loss_cls: 0.8029, loss: 0.8029 +2025-07-02 05:59:12,109 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:31:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 0.7624, loss: 0.7624 +2025-07-02 05:59:30,059 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 06:00:07,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:00:07,206 - pyskl - INFO - +top1_acc 0.8394 +top5_acc 0.9837 +2025-07-02 06:00:07,207 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.8394, top5_acc: 0.9837 +2025-07-02 06:00:50,174 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:30:57, time: 0.430, data_time: 0.246, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9831, loss_cls: 0.7466, loss: 0.7466 +2025-07-02 06:01:08,521 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:30:39, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9862, loss_cls: 0.7103, loss: 0.7103 +2025-07-02 06:01:26,463 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:30:19, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9788, loss_cls: 0.7445, loss: 0.7445 +2025-07-02 06:01:44,657 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:30:00, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9831, loss_cls: 0.7292, loss: 0.7292 +2025-07-02 06:02:02,599 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:29:41, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9750, loss_cls: 0.7560, loss: 0.7560 +2025-07-02 06:02:20,470 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:29:21, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9750, loss_cls: 0.7444, loss: 0.7444 +2025-07-02 06:02:38,548 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:29:01, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 0.6790, loss: 0.6790 +2025-07-02 06:02:56,438 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:28:42, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9812, loss_cls: 0.8200, loss: 0.8200 +2025-07-02 06:03:14,885 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 06:03:51,608 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:03:51,631 - pyskl - INFO - +top1_acc 0.8638 +top5_acc 0.9772 +2025-07-02 06:03:51,635 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_25.pth was removed +2025-07-02 06:03:51,801 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-02 06:03:51,801 - pyskl - INFO - Best top1_acc is 0.8638 at 30 epoch. +2025-07-02 06:03:51,803 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.8638, top5_acc: 0.9772 +2025-07-02 06:04:34,504 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:28:31, time: 0.427, data_time: 0.240, memory: 2903, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 0.8054, loss: 0.8054 +2025-07-02 06:04:52,812 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:28:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8194, top5_acc: 0.9781, loss_cls: 0.8832, loss: 0.8832 +2025-07-02 06:05:10,676 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:27:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8481, top5_acc: 0.9750, loss_cls: 0.8437, loss: 0.8437 +2025-07-02 06:05:28,590 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:27:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8431, top5_acc: 0.9794, loss_cls: 0.8755, loss: 0.8755 +2025-07-02 06:05:46,589 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:27:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9888, loss_cls: 0.7794, loss: 0.7794 +2025-07-02 06:06:04,368 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:26:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8425, top5_acc: 0.9825, loss_cls: 0.8534, loss: 0.8534 +2025-07-02 06:06:22,484 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:26:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8369, top5_acc: 0.9844, loss_cls: 0.8124, loss: 0.8124 +2025-07-02 06:06:40,233 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:26:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8350, top5_acc: 0.9775, loss_cls: 0.8324, loss: 0.8324 +2025-07-02 06:06:58,618 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 06:07:35,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:07:35,628 - pyskl - INFO - +top1_acc 0.7206 +top5_acc 0.9382 +2025-07-02 06:07:35,629 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.7206, top5_acc: 0.9382 +2025-07-02 06:08:18,551 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:26:03, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 0.7880, loss: 0.7880 +2025-07-02 06:08:36,397 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:25:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8456, top5_acc: 0.9831, loss_cls: 0.7644, loss: 0.7644 +2025-07-02 06:08:54,182 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:25:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8387, top5_acc: 0.9775, loss_cls: 0.8738, loss: 0.8738 +2025-07-02 06:09:12,521 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:25:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 0.7306, loss: 0.7306 +2025-07-02 06:09:30,800 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:24:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 0.7915, loss: 0.7915 +2025-07-02 06:09:48,517 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:24:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9875, loss_cls: 0.7772, loss: 0.7772 +2025-07-02 06:10:06,298 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:24:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.8027, loss: 0.8027 +2025-07-02 06:10:24,156 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:23:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8400, top5_acc: 0.9756, loss_cls: 0.8451, loss: 0.8451 +2025-07-02 06:10:42,684 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 06:11:20,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:11:20,267 - pyskl - INFO - +top1_acc 0.8855 +top5_acc 0.9883 +2025-07-02 06:11:20,273 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_30.pth was removed +2025-07-02 06:11:20,508 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2025-07-02 06:11:20,509 - pyskl - INFO - Best top1_acc is 0.8855 at 32 epoch. +2025-07-02 06:11:20,511 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.8855, top5_acc: 0.9883 +2025-07-02 06:12:03,223 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:23:32, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.8481, top5_acc: 0.9856, loss_cls: 0.8077, loss: 0.8077 +2025-07-02 06:12:21,565 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:23:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9881, loss_cls: 0.6957, loss: 0.6957 +2025-07-02 06:12:39,283 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:22:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9875, loss_cls: 0.7575, loss: 0.7575 +2025-07-02 06:12:57,345 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:22:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8525, top5_acc: 0.9825, loss_cls: 0.7947, loss: 0.7947 +2025-07-02 06:13:15,565 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:22:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8562, top5_acc: 0.9869, loss_cls: 0.7778, loss: 0.7778 +2025-07-02 06:13:33,170 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:21:54, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 0.7547, loss: 0.7547 +2025-07-02 06:13:51,226 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:21:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8375, top5_acc: 0.9806, loss_cls: 0.8098, loss: 0.8098 +2025-07-02 06:14:09,269 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:21:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8512, top5_acc: 0.9831, loss_cls: 0.8040, loss: 0.8040 +2025-07-02 06:14:27,798 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 06:15:05,655 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:15:05,691 - pyskl - INFO - +top1_acc 0.8930 +top5_acc 0.9886 +2025-07-02 06:15:05,696 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_32.pth was removed +2025-07-02 06:15:05,891 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. +2025-07-02 06:15:05,892 - pyskl - INFO - Best top1_acc is 0.8930 at 33 epoch. +2025-07-02 06:15:05,894 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.8930, top5_acc: 0.9886 +2025-07-02 06:15:49,397 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:21:05, time: 0.435, data_time: 0.246, memory: 2903, top1_acc: 0.8356, top5_acc: 0.9806, loss_cls: 0.8378, loss: 0.8378 +2025-07-02 06:16:07,466 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:20:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 0.7587, loss: 0.7587 +2025-07-02 06:16:25,099 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:20:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8569, top5_acc: 0.9869, loss_cls: 0.7437, loss: 0.7437 +2025-07-02 06:16:43,240 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:20:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 0.7264, loss: 0.7264 +2025-07-02 06:17:01,182 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:19:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9862, loss_cls: 0.7105, loss: 0.7105 +2025-07-02 06:17:18,762 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:19:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8431, top5_acc: 0.9731, loss_cls: 0.8709, loss: 0.8709 +2025-07-02 06:17:36,843 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:19:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9788, loss_cls: 0.7670, loss: 0.7670 +2025-07-02 06:17:54,683 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:18:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 0.7794, loss: 0.7794 +2025-07-02 06:18:13,210 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 06:18:49,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:18:49,819 - pyskl - INFO - +top1_acc 0.8705 +top5_acc 0.9868 +2025-07-02 06:18:49,820 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.8705, top5_acc: 0.9868 +2025-07-02 06:19:32,241 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:18:30, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 0.7423, loss: 0.7423 +2025-07-02 06:19:50,757 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:18:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 0.7183, loss: 0.7183 +2025-07-02 06:20:08,615 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:17:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8413, top5_acc: 0.9794, loss_cls: 0.8475, loss: 0.8475 +2025-07-02 06:20:26,570 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:17:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9894, loss_cls: 0.6796, loss: 0.6796 +2025-07-02 06:20:44,601 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:17:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8500, top5_acc: 0.9875, loss_cls: 0.7561, loss: 0.7561 +2025-07-02 06:21:02,433 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:16:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8500, top5_acc: 0.9844, loss_cls: 0.7391, loss: 0.7391 +2025-07-02 06:21:20,017 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:16:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 0.7911, loss: 0.7911 +2025-07-02 06:21:38,101 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:16:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 0.7894, loss: 0.7894 +2025-07-02 06:21:56,134 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 06:22:33,021 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:22:33,050 - pyskl - INFO - +top1_acc 0.8209 +top5_acc 0.9754 +2025-07-02 06:22:33,051 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.8209, top5_acc: 0.9754 +2025-07-02 06:23:17,060 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:16:01, time: 0.440, data_time: 0.254, memory: 2903, top1_acc: 0.8562, top5_acc: 0.9831, loss_cls: 0.7850, loss: 0.7850 +2025-07-02 06:23:35,024 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:15:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8544, top5_acc: 0.9888, loss_cls: 0.7494, loss: 0.7494 +2025-07-02 06:23:52,837 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:15:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.8553, loss: 0.8553 +2025-07-02 06:24:10,792 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:15:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 0.7594, loss: 0.7594 +2025-07-02 06:24:28,844 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:14:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8531, top5_acc: 0.9825, loss_cls: 0.7612, loss: 0.7612 +2025-07-02 06:24:46,619 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:14:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6854, loss: 0.6854 +2025-07-02 06:25:04,321 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:14:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8425, top5_acc: 0.9875, loss_cls: 0.7446, loss: 0.7446 +2025-07-02 06:25:22,286 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:13:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8425, top5_acc: 0.9788, loss_cls: 0.7791, loss: 0.7791 +2025-07-02 06:25:40,411 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 06:26:17,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:26:17,776 - pyskl - INFO - +top1_acc 0.8389 +top5_acc 0.9841 +2025-07-02 06:26:17,777 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.8389, top5_acc: 0.9841 +2025-07-02 06:27:00,900 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:13:26, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9806, loss_cls: 0.6940, loss: 0.6940 +2025-07-02 06:27:18,913 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:13:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 0.6278, loss: 0.6278 +2025-07-02 06:27:36,682 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:12:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9806, loss_cls: 0.7439, loss: 0.7439 +2025-07-02 06:27:54,634 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:12:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 0.6867, loss: 0.6867 +2025-07-02 06:28:12,596 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:12:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 0.7085, loss: 0.7085 +2025-07-02 06:28:30,481 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:11:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9844, loss_cls: 0.7378, loss: 0.7378 +2025-07-02 06:28:48,321 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:11:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 0.7086, loss: 0.7086 +2025-07-02 06:29:06,349 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:11:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8506, top5_acc: 0.9756, loss_cls: 0.7991, loss: 0.7991 +2025-07-02 06:29:24,575 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 06:30:01,740 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:30:01,767 - pyskl - INFO - +top1_acc 0.6071 +top5_acc 0.8666 +2025-07-02 06:30:01,769 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.6071, top5_acc: 0.8666 +2025-07-02 06:30:44,671 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:10:51, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9869, loss_cls: 0.6900, loss: 0.6900 +2025-07-02 06:31:02,483 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:10:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 0.6844, loss: 0.6844 +2025-07-02 06:31:20,629 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:10:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 0.6672, loss: 0.6672 +2025-07-02 06:31:38,722 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:09:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 0.7160, loss: 0.7160 +2025-07-02 06:31:56,913 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:09:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.7144, loss: 0.7144 +2025-07-02 06:32:15,227 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:09:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 0.7241, loss: 0.7241 +2025-07-02 06:32:33,067 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:08:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.7254, loss: 0.7254 +2025-07-02 06:32:50,875 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:08:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8237, top5_acc: 0.9756, loss_cls: 0.8619, loss: 0.8619 +2025-07-02 06:33:09,094 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 06:33:46,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:33:46,903 - pyskl - INFO - +top1_acc 0.8787 +top5_acc 0.9886 +2025-07-02 06:33:46,904 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.8787, top5_acc: 0.9886 +2025-07-02 06:34:28,945 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:08:15, time: 0.420, data_time: 0.238, memory: 2903, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 0.7741, loss: 0.7741 +2025-07-02 06:34:47,169 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:07:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 0.6743, loss: 0.6743 +2025-07-02 06:35:05,136 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:07:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6667, loss: 0.6667 +2025-07-02 06:35:22,926 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:07:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9838, loss_cls: 0.6760, loss: 0.6760 +2025-07-02 06:35:40,720 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:06:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 0.6490, loss: 0.6490 +2025-07-02 06:35:58,904 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:06:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8544, top5_acc: 0.9812, loss_cls: 0.7546, loss: 0.7546 +2025-07-02 06:36:16,901 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:06:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 0.7055, loss: 0.7055 +2025-07-02 06:36:35,057 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:05:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8562, top5_acc: 0.9856, loss_cls: 0.7213, loss: 0.7213 +2025-07-02 06:36:53,248 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 06:37:30,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:37:30,940 - pyskl - INFO - +top1_acc 0.8197 +top5_acc 0.9705 +2025-07-02 06:37:30,941 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.8197, top5_acc: 0.9705 +2025-07-02 06:38:14,478 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:05:42, time: 0.435, data_time: 0.246, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9881, loss_cls: 0.6565, loss: 0.6565 +2025-07-02 06:38:32,934 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:05:23, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6961, loss: 0.6961 +2025-07-02 06:38:50,835 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:05:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9900, loss_cls: 0.6743, loss: 0.6743 +2025-07-02 06:39:08,577 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:04:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 0.7079, loss: 0.7079 +2025-07-02 06:39:26,629 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:04:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 0.7188, loss: 0.7188 +2025-07-02 06:39:44,524 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:04:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8394, top5_acc: 0.9850, loss_cls: 0.8100, loss: 0.8100 +2025-07-02 06:40:02,188 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:03:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 06:40:20,033 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:03:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 0.7170, loss: 0.7170 +2025-07-02 06:40:38,315 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 06:41:15,327 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:41:15,352 - pyskl - INFO - +top1_acc 0.8795 +top5_acc 0.9908 +2025-07-02 06:41:15,353 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.8795, top5_acc: 0.9908 +2025-07-02 06:41:58,293 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:03:05, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9881, loss_cls: 0.7128, loss: 0.7128 +2025-07-02 06:42:16,446 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:02:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9888, loss_cls: 0.6556, loss: 0.6556 +2025-07-02 06:42:34,286 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:02:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 0.7037, loss: 0.7037 +2025-07-02 06:42:51,832 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:02:05, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9888, loss_cls: 0.6616, loss: 0.6616 +2025-07-02 06:43:09,676 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:01:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 0.6700, loss: 0.6700 +2025-07-02 06:43:27,666 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:01:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8581, top5_acc: 0.9819, loss_cls: 0.7232, loss: 0.7232 +2025-07-02 06:43:45,692 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:01:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 0.6817, loss: 0.6817 +2025-07-02 06:44:03,800 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:00:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 0.7049, loss: 0.7049 +2025-07-02 06:44:22,665 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 06:44:59,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:44:59,616 - pyskl - INFO - +top1_acc 0.8990 +top5_acc 0.9868 +2025-07-02 06:44:59,621 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_33.pth was removed +2025-07-02 06:44:59,788 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-02 06:44:59,788 - pyskl - INFO - Best top1_acc is 0.8990 at 41 epoch. +2025-07-02 06:44:59,790 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.8990, top5_acc: 0.9868 +2025-07-02 06:45:41,681 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:00:24, time: 0.419, data_time: 0.236, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.6209, loss: 0.6209 +2025-07-02 06:45:59,699 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:00:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9875, loss_cls: 0.6912, loss: 0.6912 +2025-07-02 06:46:17,578 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 4:59:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 0.6722, loss: 0.6722 +2025-07-02 06:46:35,463 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:59:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 0.6035, loss: 0.6035 +2025-07-02 06:46:53,622 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:59:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8631, top5_acc: 0.9881, loss_cls: 0.7034, loss: 0.7034 +2025-07-02 06:47:11,930 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:58:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9856, loss_cls: 0.6285, loss: 0.6285 +2025-07-02 06:47:29,888 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:58:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9806, loss_cls: 0.6997, loss: 0.6997 +2025-07-02 06:47:47,797 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:58:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8394, top5_acc: 0.9781, loss_cls: 0.7928, loss: 0.7928 +2025-07-02 06:48:06,072 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 06:48:43,490 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:48:43,518 - pyskl - INFO - +top1_acc 0.8739 +top5_acc 0.9865 +2025-07-02 06:48:43,520 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.8739, top5_acc: 0.9865 +2025-07-02 06:49:26,098 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:57:47, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 0.7286, loss: 0.7286 +2025-07-02 06:49:44,148 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:57:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9844, loss_cls: 0.6305, loss: 0.6305 +2025-07-02 06:50:02,396 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:57:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9875, loss_cls: 0.7128, loss: 0.7128 +2025-07-02 06:50:20,436 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:56:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8550, top5_acc: 0.9894, loss_cls: 0.6984, loss: 0.6984 +2025-07-02 06:50:38,517 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:56:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 0.6742, loss: 0.6742 +2025-07-02 06:50:56,660 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:56:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 0.6756, loss: 0.6756 +2025-07-02 06:51:14,640 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:55:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 0.7341, loss: 0.7341 +2025-07-02 06:51:32,714 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:55:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9794, loss_cls: 0.6865, loss: 0.6865 +2025-07-02 06:51:51,081 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 06:52:28,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:52:28,556 - pyskl - INFO - +top1_acc 0.8592 +top5_acc 0.9854 +2025-07-02 06:52:28,557 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.8592, top5_acc: 0.9854 +2025-07-02 06:53:10,881 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:55:09, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6162, loss: 0.6162 +2025-07-02 06:53:28,836 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:54:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9906, loss_cls: 0.6241, loss: 0.6241 +2025-07-02 06:53:46,859 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:54:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9875, loss_cls: 0.6030, loss: 0.6030 +2025-07-02 06:54:04,865 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:54:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.6283, loss: 0.6283 +2025-07-02 06:54:23,279 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:53:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9831, loss_cls: 0.7068, loss: 0.7068 +2025-07-02 06:54:41,478 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:53:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9888, loss_cls: 0.7264, loss: 0.7264 +2025-07-02 06:54:59,269 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:53:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9794, loss_cls: 0.6622, loss: 0.6622 +2025-07-02 06:55:17,193 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:52:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9831, loss_cls: 0.6615, loss: 0.6615 +2025-07-02 06:55:35,689 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 06:56:12,927 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:56:12,951 - pyskl - INFO - +top1_acc 0.6097 +top5_acc 0.8753 +2025-07-02 06:56:12,952 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.6097, top5_acc: 0.8753 +2025-07-02 06:56:55,128 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:52:30, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 0.6883, loss: 0.6883 +2025-07-02 06:57:13,304 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:52:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.6212, loss: 0.6212 +2025-07-02 06:57:30,956 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:51:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6145, loss: 0.6145 +2025-07-02 06:57:48,640 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:51:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9800, loss_cls: 0.6470, loss: 0.6470 +2025-07-02 06:58:06,355 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:51:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6785, loss: 0.6785 +2025-07-02 06:58:23,684 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:50:49, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9875, loss_cls: 0.6462, loss: 0.6462 +2025-07-02 06:58:41,608 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:50:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9825, loss_cls: 0.6554, loss: 0.6554 +2025-07-02 06:58:59,475 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:50:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9831, loss_cls: 0.6528, loss: 0.6528 +2025-07-02 06:59:17,622 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 06:59:55,381 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:59:55,404 - pyskl - INFO - +top1_acc 0.8671 +top5_acc 0.9805 +2025-07-02 06:59:55,405 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.8671, top5_acc: 0.9805 +2025-07-02 07:00:37,496 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:49:46, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9900, loss_cls: 0.6543, loss: 0.6543 +2025-07-02 07:00:55,772 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:49:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5911, loss: 0.5911 +2025-07-02 07:01:13,820 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:49:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9919, loss_cls: 0.6320, loss: 0.6320 +2025-07-02 07:01:31,506 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:48:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5789, loss: 0.5789 +2025-07-02 07:01:49,593 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:48:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9906, loss_cls: 0.6328, loss: 0.6328 +2025-07-02 07:02:07,494 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:48:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.7286, loss: 0.7286 +2025-07-02 07:02:25,504 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:47:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9912, loss_cls: 0.5838, loss: 0.5838 +2025-07-02 07:02:43,284 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:47:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 0.6794, loss: 0.6794 +2025-07-02 07:03:01,951 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 07:03:40,553 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:03:40,578 - pyskl - INFO - +top1_acc 0.9171 +top5_acc 0.9914 +2025-07-02 07:03:40,582 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_41.pth was removed +2025-07-02 07:03:40,750 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-07-02 07:03:40,751 - pyskl - INFO - Best top1_acc is 0.9171 at 46 epoch. +2025-07-02 07:03:40,753 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9171, top5_acc: 0.9914 +2025-07-02 07:04:23,732 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:47:07, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9919, loss_cls: 0.5852, loss: 0.5852 +2025-07-02 07:04:41,827 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:46:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.6252, loss: 0.6252 +2025-07-02 07:04:59,913 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:46:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5929, loss: 0.5929 +2025-07-02 07:05:17,857 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:46:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6483, loss: 0.6483 +2025-07-02 07:05:35,683 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:45:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9875, loss_cls: 0.6313, loss: 0.6313 +2025-07-02 07:05:53,443 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:45:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8538, top5_acc: 0.9819, loss_cls: 0.7193, loss: 0.7193 +2025-07-02 07:06:11,441 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:45:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9900, loss_cls: 0.6219, loss: 0.6219 +2025-07-02 07:06:29,393 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:44:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9925, loss_cls: 0.6209, loss: 0.6209 +2025-07-02 07:06:47,553 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 07:07:24,370 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:07:24,393 - pyskl - INFO - +top1_acc 0.9012 +top5_acc 0.9905 +2025-07-02 07:07:24,394 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9012, top5_acc: 0.9905 +2025-07-02 07:08:06,607 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:44:26, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 0.7033, loss: 0.7033 +2025-07-02 07:08:24,580 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:44:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9894, loss_cls: 0.6569, loss: 0.6569 +2025-07-02 07:08:42,449 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:43:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 0.5974, loss: 0.5974 +2025-07-02 07:09:00,556 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:43:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6046, loss: 0.6046 +2025-07-02 07:09:18,411 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:43:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.6236, loss: 0.6236 +2025-07-02 07:09:36,586 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:42:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 0.6068, loss: 0.6068 +2025-07-02 07:09:54,889 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:42:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9862, loss_cls: 0.6265, loss: 0.6265 +2025-07-02 07:10:12,893 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:42:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9875, loss_cls: 0.6836, loss: 0.6836 +2025-07-02 07:10:31,484 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 07:11:08,751 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:11:08,774 - pyskl - INFO - +top1_acc 0.8673 +top5_acc 0.9837 +2025-07-02 07:11:08,774 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.8673, top5_acc: 0.9837 +2025-07-02 07:11:51,249 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:41:46, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5725, loss: 0.5725 +2025-07-02 07:12:09,363 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:41:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9825, loss_cls: 0.6514, loss: 0.6514 +2025-07-02 07:12:27,581 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:41:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.6054, loss: 0.6054 +2025-07-02 07:12:45,466 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:40:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6433, loss: 0.6433 +2025-07-02 07:13:03,758 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:40:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.6005, loss: 0.6005 +2025-07-02 07:13:21,578 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:40:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5855, loss: 0.5855 +2025-07-02 07:13:39,726 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:39:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.6313, loss: 0.6313 +2025-07-02 07:13:57,559 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:39:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9869, loss_cls: 0.5772, loss: 0.5772 +2025-07-02 07:14:16,135 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 07:14:53,161 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:14:53,190 - pyskl - INFO - +top1_acc 0.8835 +top5_acc 0.9898 +2025-07-02 07:14:53,191 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.8835, top5_acc: 0.9898 +2025-07-02 07:15:36,207 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:39:07, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.6284, loss: 0.6284 +2025-07-02 07:15:54,416 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:38:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5883, loss: 0.5883 +2025-07-02 07:16:12,561 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:38:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 0.6101, loss: 0.6101 +2025-07-02 07:16:30,477 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:38:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9888, loss_cls: 0.6290, loss: 0.6290 +2025-07-02 07:16:48,684 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:37:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 0.5899, loss: 0.5899 +2025-07-02 07:17:06,775 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:37:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5907, loss: 0.5907 +2025-07-02 07:17:24,780 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:37:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6098, loss: 0.6098 +2025-07-02 07:17:42,721 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:36:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.6448, loss: 0.6448 +2025-07-02 07:18:01,178 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 07:18:38,751 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:18:38,774 - pyskl - INFO - +top1_acc 0.6009 +top5_acc 0.8757 +2025-07-02 07:18:38,775 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.6009, top5_acc: 0.8757 +2025-07-02 07:19:21,037 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:36:26, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9869, loss_cls: 0.6464, loss: 0.6464 +2025-07-02 07:19:38,899 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:36:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 0.6031, loss: 0.6031 +2025-07-02 07:19:56,833 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:35:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 0.5858, loss: 0.5858 +2025-07-02 07:20:14,444 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:35:27, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9900, loss_cls: 0.6493, loss: 0.6493 +2025-07-02 07:20:32,137 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:35:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.6286, loss: 0.6286 +2025-07-02 07:20:50,020 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:34:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.6100, loss: 0.6100 +2025-07-02 07:21:08,206 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:34:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.5998, loss: 0.5998 +2025-07-02 07:21:25,997 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:34:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5510, loss: 0.5510 +2025-07-02 07:21:44,156 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 07:22:21,480 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:22:21,512 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9915 +2025-07-02 07:22:21,513 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.8961, top5_acc: 0.9915 +2025-07-02 07:23:04,444 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:33:44, time: 0.429, data_time: 0.249, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5888, loss: 0.5888 +2025-07-02 07:23:22,697 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:33:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5604, loss: 0.5604 +2025-07-02 07:23:41,113 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:33:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5781, loss: 0.5781 +2025-07-02 07:23:59,284 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:32:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 0.5432, loss: 0.5432 +2025-07-02 07:24:17,130 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:32:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9894, loss_cls: 0.5689, loss: 0.5689 +2025-07-02 07:24:35,091 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:32:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.5801, loss: 0.5801 +2025-07-02 07:24:53,039 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:31:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 0.6780, loss: 0.6780 +2025-07-02 07:25:10,896 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:31:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9906, loss_cls: 0.6155, loss: 0.6155 +2025-07-02 07:25:29,128 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 07:26:07,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:26:07,242 - pyskl - INFO - +top1_acc 0.6697 +top5_acc 0.9036 +2025-07-02 07:26:07,243 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.6697, top5_acc: 0.9036 +2025-07-02 07:26:50,221 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:31:04, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9919, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 07:27:08,348 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:30:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5531, loss: 0.5531 +2025-07-02 07:27:26,461 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:30:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 0.6227, loss: 0.6227 +2025-07-02 07:27:44,224 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:30:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5757, loss: 0.5757 +2025-07-02 07:28:02,256 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:29:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5711, loss: 0.5711 +2025-07-02 07:28:20,473 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:29:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5687, loss: 0.5687 +2025-07-02 07:28:38,390 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:29:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5932, loss: 0.5932 +2025-07-02 07:28:56,167 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:28:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.6154, loss: 0.6154 +2025-07-02 07:29:14,588 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 07:29:51,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:29:51,351 - pyskl - INFO - +top1_acc 0.8959 +top5_acc 0.9918 +2025-07-02 07:29:51,353 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.8959, top5_acc: 0.9918 +2025-07-02 07:30:34,027 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:28:22, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.6118, loss: 0.6118 +2025-07-02 07:30:52,129 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:28:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5497, loss: 0.5497 +2025-07-02 07:31:10,135 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:27:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5798, loss: 0.5798 +2025-07-02 07:31:27,861 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:27:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.6001, loss: 0.6001 +2025-07-02 07:31:45,716 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:27:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9919, loss_cls: 0.5937, loss: 0.5937 +2025-07-02 07:32:03,476 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:26:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9919, loss_cls: 0.5410, loss: 0.5410 +2025-07-02 07:32:21,609 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:26:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9919, loss_cls: 0.5597, loss: 0.5597 +2025-07-02 07:32:39,677 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:26:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9869, loss_cls: 0.6168, loss: 0.6168 +2025-07-02 07:32:58,264 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 07:33:35,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:33:35,045 - pyskl - INFO - +top1_acc 0.8987 +top5_acc 0.9883 +2025-07-02 07:33:35,046 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.8987, top5_acc: 0.9883 +2025-07-02 07:34:17,265 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:25:39, time: 0.422, data_time: 0.241, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9906, loss_cls: 0.6211, loss: 0.6211 +2025-07-02 07:34:35,337 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:25:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 0.5833, loss: 0.5833 +2025-07-02 07:34:53,500 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:25:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.5835, loss: 0.5835 +2025-07-02 07:35:11,421 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:24:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 0.5541, loss: 0.5541 +2025-07-02 07:35:29,078 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:24:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9912, loss_cls: 0.5673, loss: 0.5673 +2025-07-02 07:35:46,785 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:24:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 0.5917, loss: 0.5917 +2025-07-02 07:36:04,681 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:23:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9931, loss_cls: 0.5959, loss: 0.5959 +2025-07-02 07:36:22,775 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:23:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 0.6352, loss: 0.6352 +2025-07-02 07:36:40,841 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 07:37:18,161 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:37:18,184 - pyskl - INFO - +top1_acc 0.9078 +top5_acc 0.9943 +2025-07-02 07:37:18,185 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9078, top5_acc: 0.9943 +2025-07-02 07:38:00,776 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:22:56, time: 0.426, data_time: 0.246, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5226, loss: 0.5226 +2025-07-02 07:38:18,791 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:22:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9950, loss_cls: 0.5468, loss: 0.5468 +2025-07-02 07:38:36,863 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:22:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.5554, loss: 0.5554 +2025-07-02 07:38:54,683 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:21:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5419, loss: 0.5419 +2025-07-02 07:39:12,680 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:21:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5838, loss: 0.5838 +2025-07-02 07:39:30,748 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:21:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8581, top5_acc: 0.9869, loss_cls: 0.6865, loss: 0.6865 +2025-07-02 07:39:48,682 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:21:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5450, loss: 0.5450 +2025-07-02 07:40:06,747 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:20:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9844, loss_cls: 0.5816, loss: 0.5816 +2025-07-02 07:40:25,208 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 07:41:02,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:41:02,700 - pyskl - INFO - +top1_acc 0.7409 +top5_acc 0.9436 +2025-07-02 07:41:02,701 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.7409, top5_acc: 0.9436 +2025-07-02 07:41:45,259 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:20:14, time: 0.426, data_time: 0.247, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5613, loss: 0.5613 +2025-07-02 07:42:03,199 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:19:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5627, loss: 0.5627 +2025-07-02 07:42:21,095 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:19:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5702, loss: 0.5702 +2025-07-02 07:42:38,940 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:19:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5413, loss: 0.5413 +2025-07-02 07:42:56,659 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:18:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5650, loss: 0.5650 +2025-07-02 07:43:14,341 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:18:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.6045, loss: 0.6045 +2025-07-02 07:43:32,238 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:18:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9912, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 07:43:50,235 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:17:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5831, loss: 0.5831 +2025-07-02 07:44:08,408 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 07:44:45,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:44:45,815 - pyskl - INFO - +top1_acc 0.8053 +top5_acc 0.9583 +2025-07-02 07:44:45,817 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.8053, top5_acc: 0.9583 +2025-07-02 07:45:28,961 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:17:30, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 0.6262, loss: 0.6262 +2025-07-02 07:45:47,218 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:17:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5194, loss: 0.5194 +2025-07-02 07:46:05,312 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:16:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5860, loss: 0.5860 +2025-07-02 07:46:23,036 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:16:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 0.5829, loss: 0.5829 +2025-07-02 07:46:40,715 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:16:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.5195, loss: 0.5195 +2025-07-02 07:46:58,515 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:15:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5587, loss: 0.5587 +2025-07-02 07:47:16,404 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:15:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 0.5666, loss: 0.5666 +2025-07-02 07:47:34,247 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:15:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9850, loss_cls: 0.6142, loss: 0.6142 +2025-07-02 07:47:52,391 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 07:48:29,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:48:29,678 - pyskl - INFO - +top1_acc 0.8880 +top5_acc 0.9889 +2025-07-02 07:48:29,679 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.8880, top5_acc: 0.9889 +2025-07-02 07:49:12,246 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:14:46, time: 0.426, data_time: 0.237, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.5750, loss: 0.5750 +2025-07-02 07:49:30,321 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:14:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9906, loss_cls: 0.5622, loss: 0.5622 +2025-07-02 07:49:48,464 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:14:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9919, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 07:50:06,776 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:13:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4833, loss: 0.4833 +2025-07-02 07:50:24,728 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:13:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9881, loss_cls: 0.5527, loss: 0.5527 +2025-07-02 07:50:42,921 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:13:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 0.5603, loss: 0.5603 +2025-07-02 07:51:01,079 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:12:51, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9888, loss_cls: 0.4705, loss: 0.4705 +2025-07-02 07:51:19,265 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:12:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 07:51:37,663 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 07:52:15,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:52:15,084 - pyskl - INFO - +top1_acc 0.9115 +top5_acc 0.9929 +2025-07-02 07:52:15,086 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9115, top5_acc: 0.9929 +2025-07-02 07:52:57,972 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:12:05, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9962, loss_cls: 0.4946, loss: 0.4946 +2025-07-02 07:53:15,826 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:11:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 07:53:33,866 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:11:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 07:53:51,951 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:11:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5685, loss: 0.5685 +2025-07-02 07:54:09,823 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:10:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5166, loss: 0.5166 +2025-07-02 07:54:27,640 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:10:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5711, loss: 0.5711 +2025-07-02 07:54:45,503 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:10:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5107, loss: 0.5107 +2025-07-02 07:55:03,043 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:09:49, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 07:55:21,014 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 07:55:57,613 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:55:57,648 - pyskl - INFO - +top1_acc 0.8833 +top5_acc 0.9885 +2025-07-02 07:55:57,649 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.8833, top5_acc: 0.9885 +2025-07-02 07:56:40,515 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:09:21, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.5370, loss: 0.5370 +2025-07-02 07:56:58,651 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:09:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4628, loss: 0.4628 +2025-07-02 07:57:16,917 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:08:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4914, loss: 0.4914 +2025-07-02 07:57:35,039 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:08:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4742, loss: 0.4742 +2025-07-02 07:57:52,934 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:08:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9906, loss_cls: 0.5695, loss: 0.5695 +2025-07-02 07:58:10,757 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:07:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.5832, loss: 0.5832 +2025-07-02 07:58:28,920 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:07:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9838, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 07:58:46,670 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:07:06, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5186, loss: 0.5186 +2025-07-02 07:59:05,283 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 07:59:42,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:59:42,781 - pyskl - INFO - +top1_acc 0.8731 +top5_acc 0.9905 +2025-07-02 07:59:42,782 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.8731, top5_acc: 0.9905 +2025-07-02 08:00:25,861 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:06:39, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5277, loss: 0.5277 +2025-07-02 08:00:43,837 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:06:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9950, loss_cls: 0.4788, loss: 0.4788 +2025-07-02 08:01:01,862 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:06:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 0.5578, loss: 0.5578 +2025-07-02 08:01:19,729 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:05:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5218, loss: 0.5218 +2025-07-02 08:01:37,444 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:05:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5800, loss: 0.5800 +2025-07-02 08:01:55,468 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:05:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.5041, loss: 0.5041 +2025-07-02 08:02:13,452 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:04:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 0.5707, loss: 0.5707 +2025-07-02 08:02:31,617 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:04:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.5913, loss: 0.5913 +2025-07-02 08:02:50,061 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 08:03:26,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:03:26,715 - pyskl - INFO - +top1_acc 0.9112 +top5_acc 0.9915 +2025-07-02 08:03:26,717 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9112, top5_acc: 0.9915 +2025-07-02 08:04:09,490 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:03:55, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4759, loss: 0.4759 +2025-07-02 08:04:27,333 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:03:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.4912, loss: 0.4912 +2025-07-02 08:04:45,480 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:03:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9925, loss_cls: 0.5285, loss: 0.5285 +2025-07-02 08:05:03,575 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:02:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9862, loss_cls: 0.4940, loss: 0.4940 +2025-07-02 08:05:21,604 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:02:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4796, loss: 0.4796 +2025-07-02 08:05:39,530 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:02:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5442, loss: 0.5442 +2025-07-02 08:05:57,388 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:01:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 0.5993, loss: 0.5993 +2025-07-02 08:06:15,737 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:01:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.5157, loss: 0.5157 +2025-07-02 08:06:34,285 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 08:07:12,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:07:12,225 - pyskl - INFO - +top1_acc 0.9103 +top5_acc 0.9918 +2025-07-02 08:07:12,227 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9103, top5_acc: 0.9918 +2025-07-02 08:07:55,385 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:01:13, time: 0.431, data_time: 0.244, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.4909, loss: 0.4909 +2025-07-02 08:08:13,244 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:00:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4228, loss: 0.4228 +2025-07-02 08:08:31,311 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:00:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4684, loss: 0.4684 +2025-07-02 08:08:48,996 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:00:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4468, loss: 0.4468 +2025-07-02 08:09:06,724 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 3:59:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5125, loss: 0.5125 +2025-07-02 08:09:24,386 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 3:59:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5824, loss: 0.5824 +2025-07-02 08:09:42,246 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:59:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5263, loss: 0.5263 +2025-07-02 08:10:00,202 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:58:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5730, loss: 0.5730 +2025-07-02 08:10:18,587 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 08:10:55,838 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:10:55,866 - pyskl - INFO - +top1_acc 0.8277 +top5_acc 0.9697 +2025-07-02 08:10:55,867 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.8277, top5_acc: 0.9697 +2025-07-02 08:11:38,506 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:58:27, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.5278, loss: 0.5278 +2025-07-02 08:11:56,690 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:58:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5214, loss: 0.5214 +2025-07-02 08:12:14,771 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:57:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5104, loss: 0.5104 +2025-07-02 08:12:32,685 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:57:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4767, loss: 0.4767 +2025-07-02 08:12:50,696 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:57:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9938, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 08:13:08,559 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:56:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5322, loss: 0.5322 +2025-07-02 08:13:26,696 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:56:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 0.5363, loss: 0.5363 +2025-07-02 08:13:44,710 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:56:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9931, loss_cls: 0.5366, loss: 0.5366 +2025-07-02 08:14:03,157 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 08:14:40,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:14:40,081 - pyskl - INFO - +top1_acc 0.9160 +top5_acc 0.9919 +2025-07-02 08:14:40,082 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9160, top5_acc: 0.9919 +2025-07-02 08:15:23,713 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:55:45, time: 0.436, data_time: 0.248, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 08:15:41,893 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:55:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4282, loss: 0.4282 +2025-07-02 08:16:00,131 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:55:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4913, loss: 0.4913 +2025-07-02 08:16:18,260 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:54:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4429, loss: 0.4429 +2025-07-02 08:16:36,523 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:54:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9888, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 08:16:54,078 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:54:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5469, loss: 0.5469 +2025-07-02 08:17:12,208 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:53:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4244, loss: 0.4244 +2025-07-02 08:17:30,023 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:53:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5624, loss: 0.5624 +2025-07-02 08:17:48,254 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 08:18:24,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:18:24,759 - pyskl - INFO - +top1_acc 0.8884 +top5_acc 0.9900 +2025-07-02 08:18:24,760 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.8884, top5_acc: 0.9900 +2025-07-02 08:19:07,124 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:53:01, time: 0.424, data_time: 0.237, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4946, loss: 0.4946 +2025-07-02 08:19:25,193 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:52:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4956, loss: 0.4956 +2025-07-02 08:19:43,260 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:52:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.5081, loss: 0.5081 +2025-07-02 08:20:01,093 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:52:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.4910, loss: 0.4910 +2025-07-02 08:20:19,027 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:51:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9888, loss_cls: 0.4835, loss: 0.4835 +2025-07-02 08:20:37,250 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:51:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.5185, loss: 0.5185 +2025-07-02 08:20:55,523 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:51:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.4268, loss: 0.4268 +2025-07-02 08:21:13,621 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:50:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 0.5148, loss: 0.5148 +2025-07-02 08:21:32,042 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 08:22:09,649 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:22:09,678 - pyskl - INFO - +top1_acc 0.9247 +top5_acc 0.9918 +2025-07-02 08:22:09,682 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_46.pth was removed +2025-07-02 08:22:09,882 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. +2025-07-02 08:22:09,883 - pyskl - INFO - Best top1_acc is 0.9247 at 67 epoch. +2025-07-02 08:22:09,885 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9247, top5_acc: 0.9918 +2025-07-02 08:22:53,345 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:50:18, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 0.5154, loss: 0.5154 +2025-07-02 08:23:11,408 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:49:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9862, loss_cls: 0.4724, loss: 0.4724 +2025-07-02 08:23:29,632 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:49:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4891, loss: 0.4891 +2025-07-02 08:23:47,702 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:49:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.5298, loss: 0.5298 +2025-07-02 08:24:05,669 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:49:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.5245, loss: 0.5245 +2025-07-02 08:24:23,584 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:48:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9912, loss_cls: 0.5060, loss: 0.5060 +2025-07-02 08:24:41,664 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:48:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5086, loss: 0.5086 +2025-07-02 08:24:59,678 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:48:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4730, loss: 0.4730 +2025-07-02 08:25:17,871 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 08:25:55,150 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:25:55,172 - pyskl - INFO - +top1_acc 0.7886 +top5_acc 0.9688 +2025-07-02 08:25:55,173 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.7886, top5_acc: 0.9688 +2025-07-02 08:26:37,537 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:47:34, time: 0.424, data_time: 0.238, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9950, loss_cls: 0.4770, loss: 0.4770 +2025-07-02 08:26:55,687 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:47:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 08:27:13,928 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:46:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 08:27:32,111 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:46:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4999, loss: 0.4999 +2025-07-02 08:27:50,183 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:46:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9950, loss_cls: 0.4616, loss: 0.4616 +2025-07-02 08:28:08,027 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:45:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 08:28:25,906 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:45:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9869, loss_cls: 0.4787, loss: 0.4787 +2025-07-02 08:28:43,917 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:45:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5306, loss: 0.5306 +2025-07-02 08:29:02,373 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 08:29:38,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:29:38,873 - pyskl - INFO - +top1_acc 0.9254 +top5_acc 0.9933 +2025-07-02 08:29:38,877 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_67.pth was removed +2025-07-02 08:29:39,043 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-07-02 08:29:39,043 - pyskl - INFO - Best top1_acc is 0.9254 at 69 epoch. +2025-07-02 08:29:39,045 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9254, top5_acc: 0.9933 +2025-07-02 08:30:21,685 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:44:50, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4720, loss: 0.4720 +2025-07-02 08:30:39,836 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:44:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 0.3977, loss: 0.3977 +2025-07-02 08:30:58,217 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:44:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9900, loss_cls: 0.5400, loss: 0.5400 +2025-07-02 08:31:16,332 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:43:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4634, loss: 0.4634 +2025-07-02 08:31:34,685 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:43:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5105, loss: 0.5105 +2025-07-02 08:31:52,443 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:43:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5319, loss: 0.5319 +2025-07-02 08:32:10,075 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:42:55, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9938, loss_cls: 0.4987, loss: 0.4987 +2025-07-02 08:32:27,816 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:42:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4505, loss: 0.4505 +2025-07-02 08:32:45,874 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 08:33:22,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:33:22,906 - pyskl - INFO - +top1_acc 0.9012 +top5_acc 0.9905 +2025-07-02 08:33:22,907 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9012, top5_acc: 0.9905 +2025-07-02 08:34:05,274 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:42:05, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4881, loss: 0.4881 +2025-07-02 08:34:23,077 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:41:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 0.4366, loss: 0.4366 +2025-07-02 08:34:40,922 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:41:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3798, loss: 0.3798 +2025-07-02 08:34:59,347 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:41:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4546, loss: 0.4546 +2025-07-02 08:35:17,191 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:40:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4435, loss: 0.4435 +2025-07-02 08:35:35,119 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:40:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4799, loss: 0.4799 +2025-07-02 08:35:53,173 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:40:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4643, loss: 0.4643 +2025-07-02 08:36:11,301 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:39:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.4946, loss: 0.4946 +2025-07-02 08:36:29,549 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 08:37:06,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:37:06,760 - pyskl - INFO - +top1_acc 0.9059 +top5_acc 0.9925 +2025-07-02 08:37:06,761 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9059, top5_acc: 0.9925 +2025-07-02 08:37:48,638 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:39:19, time: 0.419, data_time: 0.237, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9950, loss_cls: 0.4290, loss: 0.4290 +2025-07-02 08:38:06,511 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:39:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 0.4615, loss: 0.4615 +2025-07-02 08:38:24,470 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:38:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4772, loss: 0.4772 +2025-07-02 08:38:42,502 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:38:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4878, loss: 0.4878 +2025-07-02 08:39:00,706 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:38:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4650, loss: 0.4650 +2025-07-02 08:39:18,582 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:37:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4545, loss: 0.4545 +2025-07-02 08:39:36,646 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:37:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9881, loss_cls: 0.4450, loss: 0.4450 +2025-07-02 08:39:54,850 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:37:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.4886, loss: 0.4886 +2025-07-02 08:40:13,534 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 08:40:50,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:40:50,477 - pyskl - INFO - +top1_acc 0.8557 +top5_acc 0.9783 +2025-07-02 08:40:50,478 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.8557, top5_acc: 0.9783 +2025-07-02 08:41:33,148 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:36:35, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4899, loss: 0.4899 +2025-07-02 08:41:51,025 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:36:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4317, loss: 0.4317 +2025-07-02 08:42:08,811 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:35:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4112, loss: 0.4112 +2025-07-02 08:42:27,072 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:35:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3963, loss: 0.3963 +2025-07-02 08:42:44,967 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:35:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3973, loss: 0.3973 +2025-07-02 08:43:02,693 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:34:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 0.3991, loss: 0.3991 +2025-07-02 08:43:20,776 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:34:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 08:43:38,799 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:34:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4930, loss: 0.4930 +2025-07-02 08:43:57,123 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 08:44:33,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:44:33,913 - pyskl - INFO - +top1_acc 0.8980 +top5_acc 0.9904 +2025-07-02 08:44:33,914 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.8980, top5_acc: 0.9904 +2025-07-02 08:45:16,924 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:33:50, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4655, loss: 0.4655 +2025-07-02 08:45:34,914 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:33:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 0.4525, loss: 0.4525 +2025-07-02 08:45:52,982 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:33:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9962, loss_cls: 0.4204, loss: 0.4204 +2025-07-02 08:46:11,176 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:32:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4139, loss: 0.4139 +2025-07-02 08:46:29,214 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:32:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3555, loss: 0.3555 +2025-07-02 08:46:47,269 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:32:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4473, loss: 0.4473 +2025-07-02 08:47:05,174 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:31:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 08:47:23,489 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:31:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 08:47:41,888 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 08:48:19,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:48:19,053 - pyskl - INFO - +top1_acc 0.9168 +top5_acc 0.9940 +2025-07-02 08:48:19,054 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9168, top5_acc: 0.9940 +2025-07-02 08:49:01,596 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:31:05, time: 0.425, data_time: 0.239, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3976, loss: 0.3976 +2025-07-02 08:49:19,623 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:30:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3617, loss: 0.3617 +2025-07-02 08:49:37,739 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:30:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4186, loss: 0.4186 +2025-07-02 08:49:55,787 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:30:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 08:50:14,139 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:29:49, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4650, loss: 0.4650 +2025-07-02 08:50:32,013 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:29:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 08:50:49,871 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:29:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4368, loss: 0.4368 +2025-07-02 08:51:07,888 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:28:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.4517, loss: 0.4517 +2025-07-02 08:51:26,100 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 08:52:02,847 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:52:02,876 - pyskl - INFO - +top1_acc 0.9116 +top5_acc 0.9946 +2025-07-02 08:52:02,877 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9116, top5_acc: 0.9946 +2025-07-02 08:52:45,138 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:28:20, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3911, loss: 0.3911 +2025-07-02 08:53:03,244 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:28:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4160, loss: 0.4160 +2025-07-02 08:53:21,065 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:27:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 08:53:38,848 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:27:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 08:53:56,939 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:27:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3863, loss: 0.3863 +2025-07-02 08:54:14,841 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:26:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4475, loss: 0.4475 +2025-07-02 08:54:32,854 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:26:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.4671, loss: 0.4671 +2025-07-02 08:54:50,948 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:26:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4224, loss: 0.4224 +2025-07-02 08:55:09,195 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 08:55:46,322 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:55:46,347 - pyskl - INFO - +top1_acc 0.8980 +top5_acc 0.9903 +2025-07-02 08:55:46,348 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.8980, top5_acc: 0.9903 +2025-07-02 08:56:29,316 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:25:35, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4407, loss: 0.4407 +2025-07-02 08:56:47,621 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:25:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.3944, loss: 0.3944 +2025-07-02 08:57:05,437 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:24:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4124, loss: 0.4124 +2025-07-02 08:57:23,500 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:24:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4389, loss: 0.4389 +2025-07-02 08:57:41,433 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:24:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3861, loss: 0.3861 +2025-07-02 08:57:59,498 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:23:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4502, loss: 0.4502 +2025-07-02 08:58:17,406 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:23:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9938, loss_cls: 0.4803, loss: 0.4803 +2025-07-02 08:58:35,664 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:23:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4377, loss: 0.4377 +2025-07-02 08:58:53,813 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 08:59:30,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:59:30,905 - pyskl - INFO - +top1_acc 0.7713 +top5_acc 0.9495 +2025-07-02 08:59:30,906 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.7713, top5_acc: 0.9495 +2025-07-02 09:00:13,438 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:22:50, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4467, loss: 0.4467 +2025-07-02 09:00:31,584 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:22:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3766, loss: 0.3766 +2025-07-02 09:00:49,306 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:22:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3825, loss: 0.3825 +2025-07-02 09:01:07,237 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:21:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3575, loss: 0.3575 +2025-07-02 09:01:25,460 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:21:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4276, loss: 0.4276 +2025-07-02 09:01:43,520 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:21:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 0.4399, loss: 0.4399 +2025-07-02 09:02:01,182 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:20:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4296, loss: 0.4296 +2025-07-02 09:02:19,522 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:20:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.4421, loss: 0.4421 +2025-07-02 09:02:38,034 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 09:03:14,776 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:03:14,802 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9936 +2025-07-02 09:03:14,803 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9221, top5_acc: 0.9936 +2025-07-02 09:03:57,849 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:20:05, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9925, loss_cls: 0.4151, loss: 0.4151 +2025-07-02 09:04:16,013 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:19:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3498, loss: 0.3498 +2025-07-02 09:04:34,104 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:19:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 0.3998, loss: 0.3998 +2025-07-02 09:04:52,056 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:19:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9956, loss_cls: 0.3772, loss: 0.3772 +2025-07-02 09:05:09,883 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:18:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4294, loss: 0.4294 +2025-07-02 09:05:27,658 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:18:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9900, loss_cls: 0.4501, loss: 0.4501 +2025-07-02 09:05:45,269 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:18:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4119, loss: 0.4119 +2025-07-02 09:06:03,310 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:17:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3956, loss: 0.3956 +2025-07-02 09:06:21,545 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 09:06:58,360 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:06:58,383 - pyskl - INFO - +top1_acc 0.9448 +top5_acc 0.9940 +2025-07-02 09:06:58,387 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_69.pth was removed +2025-07-02 09:06:58,556 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-02 09:06:58,556 - pyskl - INFO - Best top1_acc is 0.9448 at 79 epoch. +2025-07-02 09:06:58,558 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9448, top5_acc: 0.9940 +2025-07-02 09:07:41,012 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:17:18, time: 0.424, data_time: 0.237, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9975, loss_cls: 0.3775, loss: 0.3775 +2025-07-02 09:07:59,222 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:16:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3742, loss: 0.3742 +2025-07-02 09:08:17,133 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:16:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4055, loss: 0.4055 +2025-07-02 09:08:35,118 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:16:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3055, loss: 0.3055 +2025-07-02 09:08:53,281 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:16:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3481, loss: 0.3481 +2025-07-02 09:09:11,484 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:15:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3865, loss: 0.3865 +2025-07-02 09:09:29,226 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:15:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.3935, loss: 0.3935 +2025-07-02 09:09:47,334 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:15:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3802, loss: 0.3802 +2025-07-02 09:10:05,548 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 09:10:42,721 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:10:42,744 - pyskl - INFO - +top1_acc 0.9307 +top5_acc 0.9928 +2025-07-02 09:10:42,745 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9307, top5_acc: 0.9928 +2025-07-02 09:11:25,811 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:14:33, time: 0.431, data_time: 0.242, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4531, loss: 0.4531 +2025-07-02 09:11:44,346 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:14:15, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3568, loss: 0.3568 +2025-07-02 09:12:02,540 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:13:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3199, loss: 0.3199 +2025-07-02 09:12:20,556 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:13:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3266, loss: 0.3266 +2025-07-02 09:12:38,508 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:13:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3825, loss: 0.3825 +2025-07-02 09:12:56,414 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:12:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.3914, loss: 0.3914 +2025-07-02 09:13:14,698 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:12:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3614, loss: 0.3614 +2025-07-02 09:13:32,989 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:12:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.3882, loss: 0.3882 +2025-07-02 09:13:51,270 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 09:14:29,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:14:29,220 - pyskl - INFO - +top1_acc 0.9318 +top5_acc 0.9937 +2025-07-02 09:14:29,221 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9318, top5_acc: 0.9937 +2025-07-02 09:15:12,145 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:11:49, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3767, loss: 0.3767 +2025-07-02 09:15:30,211 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:11:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3537, loss: 0.3537 +2025-07-02 09:15:48,329 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:11:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.3607, loss: 0.3607 +2025-07-02 09:16:06,100 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:10:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3628, loss: 0.3628 +2025-07-02 09:16:24,066 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:10:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9900, loss_cls: 0.3614, loss: 0.3614 +2025-07-02 09:16:42,168 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:10:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.4093, loss: 0.4093 +2025-07-02 09:16:59,905 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:09:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4076, loss: 0.4076 +2025-07-02 09:17:17,867 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:09:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3554, loss: 0.3554 +2025-07-02 09:17:36,006 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 09:18:13,541 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:18:13,570 - pyskl - INFO - +top1_acc 0.9270 +top5_acc 0.9921 +2025-07-02 09:18:13,572 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9270, top5_acc: 0.9921 +2025-07-02 09:18:56,541 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:09:03, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3415, loss: 0.3415 +2025-07-02 09:19:15,229 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:08:45, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3676, loss: 0.3676 +2025-07-02 09:19:33,321 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:08:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3674, loss: 0.3674 +2025-07-02 09:19:51,146 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:08:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3692, loss: 0.3692 +2025-07-02 09:20:09,290 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:07:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.3919, loss: 0.3919 +2025-07-02 09:20:27,195 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:07:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3875, loss: 0.3875 +2025-07-02 09:20:45,098 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:07:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3586, loss: 0.3586 +2025-07-02 09:21:03,307 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:06:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3960, loss: 0.3960 +2025-07-02 09:21:21,560 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 09:21:58,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:21:58,697 - pyskl - INFO - +top1_acc 0.8660 +top5_acc 0.9819 +2025-07-02 09:21:58,698 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.8660, top5_acc: 0.9819 +2025-07-02 09:22:41,443 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:06:18, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3489, loss: 0.3489 +2025-07-02 09:22:59,722 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:05:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.3804, loss: 0.3804 +2025-07-02 09:23:17,889 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:05:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 09:23:35,789 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:05:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.3990, loss: 0.3990 +2025-07-02 09:23:53,789 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:05:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3468, loss: 0.3468 +2025-07-02 09:24:12,000 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:04:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3707, loss: 0.3707 +2025-07-02 09:24:29,777 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:04:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3886, loss: 0.3886 +2025-07-02 09:24:47,785 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:04:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4661, loss: 0.4661 +2025-07-02 09:25:05,934 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 09:25:43,124 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:25:43,146 - pyskl - INFO - +top1_acc 0.9374 +top5_acc 0.9930 +2025-07-02 09:25:43,147 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9374, top5_acc: 0.9930 +2025-07-02 09:26:25,534 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:03:32, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3406, loss: 0.3406 +2025-07-02 09:26:43,576 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:03:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 09:27:01,925 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:02:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3556, loss: 0.3556 +2025-07-02 09:27:19,707 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:02:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3221, loss: 0.3221 +2025-07-02 09:27:37,754 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:02:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3478, loss: 0.3478 +2025-07-02 09:27:55,639 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:01:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3698, loss: 0.3698 +2025-07-02 09:28:13,707 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:01:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.3866, loss: 0.3866 +2025-07-02 09:28:32,026 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:01:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9956, loss_cls: 0.4088, loss: 0.4088 +2025-07-02 09:28:50,261 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 09:29:27,375 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:29:27,403 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9940 +2025-07-02 09:29:27,404 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9331, top5_acc: 0.9940 +2025-07-02 09:30:10,655 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:00:47, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9994, loss_cls: 0.2866, loss: 0.2866 +2025-07-02 09:30:29,258 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:00:28, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3290, loss: 0.3290 +2025-07-02 09:30:47,490 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:00:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3430, loss: 0.3430 +2025-07-02 09:31:05,417 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 2:59:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.3011, loss: 0.3011 +2025-07-02 09:31:23,255 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:59:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3272, loss: 0.3272 +2025-07-02 09:31:41,534 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:59:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9962, loss_cls: 0.3864, loss: 0.3864 +2025-07-02 09:31:59,454 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:58:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 09:32:17,847 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:58:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 09:32:36,157 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 09:33:13,910 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:33:13,933 - pyskl - INFO - +top1_acc 0.9374 +top5_acc 0.9936 +2025-07-02 09:33:13,934 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9374, top5_acc: 0.9936 +2025-07-02 09:33:56,108 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:58:02, time: 0.422, data_time: 0.236, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2989, loss: 0.2989 +2025-07-02 09:34:14,552 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:57:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9925, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 09:34:32,838 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:57:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9969, loss_cls: 0.3505, loss: 0.3505 +2025-07-02 09:34:50,545 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:57:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 09:35:08,211 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:56:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3360, loss: 0.3360 +2025-07-02 09:35:26,649 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:56:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 09:35:44,668 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:56:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.3123, loss: 0.3123 +2025-07-02 09:36:02,726 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:55:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3466, loss: 0.3466 +2025-07-02 09:36:20,862 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 09:36:58,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:36:58,472 - pyskl - INFO - +top1_acc 0.9122 +top5_acc 0.9904 +2025-07-02 09:36:58,473 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9122, top5_acc: 0.9904 +2025-07-02 09:37:40,674 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:55:15, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3123, loss: 0.3123 +2025-07-02 09:37:58,841 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:54:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3351, loss: 0.3351 +2025-07-02 09:38:16,724 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:54:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3303, loss: 0.3303 +2025-07-02 09:38:34,677 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:54:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.3028, loss: 0.3028 +2025-07-02 09:38:52,382 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:53:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3240, loss: 0.3240 +2025-07-02 09:39:10,367 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:53:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3600, loss: 0.3600 +2025-07-02 09:39:28,157 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:53:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3345, loss: 0.3345 +2025-07-02 09:39:45,859 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9969, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 09:40:04,438 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 09:40:41,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:40:41,723 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9921 +2025-07-02 09:40:41,724 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9288, top5_acc: 0.9921 +2025-07-02 09:41:24,708 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:52:29, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3493, loss: 0.3493 +2025-07-02 09:41:42,886 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:52:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3120, loss: 0.3120 +2025-07-02 09:42:01,110 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:51:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.3045, loss: 0.3045 +2025-07-02 09:42:18,737 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:51:32, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3070, loss: 0.3070 +2025-07-02 09:42:36,386 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:51:12, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9975, loss_cls: 0.3580, loss: 0.3580 +2025-07-02 09:42:54,361 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:50:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.3072, loss: 0.3072 +2025-07-02 09:43:11,952 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:50:34, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 09:43:29,993 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:50:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3425, loss: 0.3425 +2025-07-02 09:43:48,205 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 09:44:25,303 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:44:25,326 - pyskl - INFO - +top1_acc 0.9436 +top5_acc 0.9949 +2025-07-02 09:44:25,327 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9436, top5_acc: 0.9949 +2025-07-02 09:45:07,941 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:49:42, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 09:45:26,099 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:49:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3080, loss: 0.3080 +2025-07-02 09:45:44,248 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:49:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2997, loss: 0.2997 +2025-07-02 09:46:02,233 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:48:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3319, loss: 0.3319 +2025-07-02 09:46:20,017 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:48:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9981, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 09:46:37,759 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:48:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3288, loss: 0.3288 +2025-07-02 09:46:55,630 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:47:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.3199, loss: 0.3199 +2025-07-02 09:47:13,503 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:47:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2908, loss: 0.2908 +2025-07-02 09:47:31,804 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 09:48:09,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:48:09,629 - pyskl - INFO - +top1_acc 0.9411 +top5_acc 0.9951 +2025-07-02 09:48:09,631 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9411, top5_acc: 0.9951 +2025-07-02 09:48:52,683 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:46:56, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2750, loss: 0.2750 +2025-07-02 09:49:11,091 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:46:37, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2730, loss: 0.2730 +2025-07-02 09:49:29,421 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:46:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.2971, loss: 0.2971 +2025-07-02 09:49:47,546 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:45:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2960, loss: 0.2960 +2025-07-02 09:50:05,250 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:45:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2764, loss: 0.2764 +2025-07-02 09:50:23,301 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:45:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9931, loss_cls: 0.3051, loss: 0.3051 +2025-07-02 09:50:41,200 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9938, loss_cls: 0.3245, loss: 0.3245 +2025-07-02 09:50:59,685 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:44:43, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3056, loss: 0.3056 +2025-07-02 09:51:18,050 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 09:51:55,859 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:51:55,888 - pyskl - INFO - +top1_acc 0.9389 +top5_acc 0.9949 +2025-07-02 09:51:55,890 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9389, top5_acc: 0.9949 +2025-07-02 09:52:38,467 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:44:10, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2778, loss: 0.2778 +2025-07-02 09:52:56,123 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:43:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9988, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 09:53:14,087 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:43:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.2889, loss: 0.2889 +2025-07-02 09:53:32,231 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:43:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 09:53:50,143 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:42:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2815, loss: 0.2815 +2025-07-02 09:54:08,332 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:42:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3501, loss: 0.3501 +2025-07-02 09:54:25,917 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:42:16, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3513, loss: 0.3513 +2025-07-02 09:54:43,893 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:41:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2884, loss: 0.2884 +2025-07-02 09:55:02,167 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 09:55:39,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:55:39,635 - pyskl - INFO - +top1_acc 0.8945 +top5_acc 0.9872 +2025-07-02 09:55:39,636 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.8945, top5_acc: 0.9872 +2025-07-02 09:56:22,281 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:41:23, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 09:56:40,572 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2753, loss: 0.2753 +2025-07-02 09:56:58,590 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:40:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2555, loss: 0.2555 +2025-07-02 09:57:16,496 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:40:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2444, loss: 0.2444 +2025-07-02 09:57:34,070 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2939, loss: 0.2939 +2025-07-02 09:57:52,388 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:39:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.2718, loss: 0.2718 +2025-07-02 09:58:10,184 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:39:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3535, loss: 0.3535 +2025-07-02 09:58:28,494 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:39:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.3142, loss: 0.3142 +2025-07-02 09:58:46,839 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 09:59:23,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:59:24,003 - pyskl - INFO - +top1_acc 0.9441 +top5_acc 0.9950 +2025-07-02 09:59:24,004 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9441, top5_acc: 0.9950 +2025-07-02 10:00:06,666 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:38:37, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.2821, loss: 0.2821 +2025-07-02 10:00:25,177 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:38:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2952, loss: 0.2952 +2025-07-02 10:00:43,536 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:37:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2762, loss: 0.2762 +2025-07-02 10:01:01,780 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:37:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2487, loss: 0.2487 +2025-07-02 10:01:20,008 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:37:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3039, loss: 0.3039 +2025-07-02 10:01:38,430 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3230, loss: 0.3230 +2025-07-02 10:01:56,092 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:36:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2807, loss: 0.2807 +2025-07-02 10:02:13,925 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:36:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3055, loss: 0.3055 +2025-07-02 10:02:32,408 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 10:03:09,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:03:09,355 - pyskl - INFO - +top1_acc 0.9507 +top5_acc 0.9957 +2025-07-02 10:03:09,359 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_79.pth was removed +2025-07-02 10:03:09,525 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-07-02 10:03:09,526 - pyskl - INFO - Best top1_acc is 0.9507 at 94 epoch. +2025-07-02 10:03:09,528 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9507, top5_acc: 0.9957 +2025-07-02 10:03:52,204 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:35:51, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2379, loss: 0.2379 +2025-07-02 10:04:10,531 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:35:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2309, loss: 0.2309 +2025-07-02 10:04:28,611 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:35:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2733, loss: 0.2733 +2025-07-02 10:04:46,685 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:34:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2383, loss: 0.2383 +2025-07-02 10:05:04,573 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:34:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2916, loss: 0.2916 +2025-07-02 10:05:22,582 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:34:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3180, loss: 0.3180 +2025-07-02 10:05:40,348 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:33:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9994, loss_cls: 0.2883, loss: 0.2883 +2025-07-02 10:05:58,472 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:33:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.2837, loss: 0.2837 +2025-07-02 10:06:16,767 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 10:06:53,823 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:06:53,847 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9951 +2025-07-02 10:06:53,849 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9496, top5_acc: 0.9951 +2025-07-02 10:07:36,213 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:05, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2563, loss: 0.2563 +2025-07-02 10:07:54,477 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:32:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2660, loss: 0.2660 +2025-07-02 10:08:12,559 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:32:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9944, loss_cls: 0.2452, loss: 0.2452 +2025-07-02 10:08:30,419 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.2052, loss: 0.2052 +2025-07-02 10:08:48,208 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:31:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2471, loss: 0.2471 +2025-07-02 10:09:06,336 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:31:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2587, loss: 0.2587 +2025-07-02 10:09:24,114 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2737, loss: 0.2737 +2025-07-02 10:09:42,327 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:30:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2536, loss: 0.2536 +2025-07-02 10:10:00,686 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 10:10:38,137 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:10:38,160 - pyskl - INFO - +top1_acc 0.8330 +top5_acc 0.9647 +2025-07-02 10:10:38,161 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.8330, top5_acc: 0.9647 +2025-07-02 10:11:20,176 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:30:18, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2969, loss: 0.2969 +2025-07-02 10:11:38,819 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:29:59, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2799, loss: 0.2799 +2025-07-02 10:11:57,547 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:29:41, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2499, loss: 0.2499 +2025-07-02 10:12:15,552 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:29:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2598, loss: 0.2598 +2025-07-02 10:12:33,808 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.2354, loss: 0.2354 +2025-07-02 10:12:51,656 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:28:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2717, loss: 0.2717 +2025-07-02 10:13:09,712 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:28:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2563, loss: 0.2563 +2025-07-02 10:13:27,820 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:06, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2666, loss: 0.2666 +2025-07-02 10:13:46,398 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 10:14:23,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:14:23,467 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9953 +2025-07-02 10:14:23,467 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9427, top5_acc: 0.9953 +2025-07-02 10:15:06,220 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:27:32, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1869, loss: 0.1869 +2025-07-02 10:15:24,295 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1822, loss: 0.1822 +2025-07-02 10:15:42,818 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:26:54, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2286, loss: 0.2286 +2025-07-02 10:16:00,912 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:26:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2167, loss: 0.2167 +2025-07-02 10:16:18,837 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:26:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3115, loss: 0.3115 +2025-07-02 10:16:36,911 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:25:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3288, loss: 0.3288 +2025-07-02 10:16:54,741 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:25:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2612, loss: 0.2612 +2025-07-02 10:17:12,981 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:25:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2725, loss: 0.2725 +2025-07-02 10:17:31,253 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 10:18:08,178 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:18:08,204 - pyskl - INFO - +top1_acc 0.9488 +top5_acc 0.9944 +2025-07-02 10:18:08,205 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9488, top5_acc: 0.9944 +2025-07-02 10:18:50,298 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:24:45, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2554, loss: 0.2554 +2025-07-02 10:19:08,755 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:24:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1983, loss: 0.1983 +2025-07-02 10:19:27,165 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2256, loss: 0.2256 +2025-07-02 10:19:45,184 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:23:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2538, loss: 0.2538 +2025-07-02 10:20:03,079 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:23:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2308, loss: 0.2308 +2025-07-02 10:20:21,286 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2094, loss: 0.2094 +2025-07-02 10:20:39,315 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:22:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2357, loss: 0.2357 +2025-07-02 10:20:56,992 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:22:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2488, loss: 0.2488 +2025-07-02 10:21:15,011 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 10:21:51,743 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:21:51,767 - pyskl - INFO - +top1_acc 0.9370 +top5_acc 0.9933 +2025-07-02 10:21:51,768 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9370, top5_acc: 0.9933 +2025-07-02 10:22:33,785 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:21:59, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2446, loss: 0.2446 +2025-07-02 10:22:52,120 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:21:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2239, loss: 0.2239 +2025-07-02 10:23:10,284 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:21:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2518, loss: 0.2518 +2025-07-02 10:23:28,497 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2326, loss: 0.2326 +2025-07-02 10:23:46,204 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:20:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2426, loss: 0.2426 +2025-07-02 10:24:03,921 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:20:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2429, loss: 0.2429 +2025-07-02 10:24:22,052 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2024, loss: 0.2024 +2025-07-02 10:24:40,214 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:19:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2416, loss: 0.2416 +2025-07-02 10:24:58,826 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 10:25:35,560 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:25:35,589 - pyskl - INFO - +top1_acc 0.9406 +top5_acc 0.9939 +2025-07-02 10:25:35,590 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9406, top5_acc: 0.9939 +2025-07-02 10:26:18,776 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:12, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.1980, loss: 0.1980 +2025-07-02 10:26:36,715 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:18:53, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1951, loss: 0.1951 +2025-07-02 10:26:54,654 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:18:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1830, loss: 0.1830 +2025-07-02 10:27:12,610 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2123, loss: 0.2123 +2025-07-02 10:27:30,408 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:17:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2259, loss: 0.2259 +2025-07-02 10:27:48,088 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:17:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2302, loss: 0.2302 +2025-07-02 10:28:05,705 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:17:18, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2313, loss: 0.2313 +2025-07-02 10:28:23,579 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:16:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2299, loss: 0.2299 +2025-07-02 10:28:42,098 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 10:29:19,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:29:19,333 - pyskl - INFO - +top1_acc 0.9378 +top5_acc 0.9954 +2025-07-02 10:29:19,334 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9378, top5_acc: 0.9954 +2025-07-02 10:30:01,748 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:16:25, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1822, loss: 0.1822 +2025-07-02 10:30:19,908 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1979, loss: 0.1979 +2025-07-02 10:30:38,261 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:15:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1873, loss: 0.1873 +2025-07-02 10:30:56,285 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:15:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1826, loss: 0.1826 +2025-07-02 10:31:14,275 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2012, loss: 0.2012 +2025-07-02 10:31:32,593 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:14:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2257, loss: 0.2257 +2025-07-02 10:31:50,330 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:14:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2234, loss: 0.2234 +2025-07-02 10:32:08,329 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 10:32:27,000 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 10:33:04,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:33:04,372 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9947 +2025-07-02 10:33:04,376 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_94.pth was removed +2025-07-02 10:33:04,574 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2025-07-02 10:33:04,574 - pyskl - INFO - Best top1_acc is 0.9560 at 102 epoch. +2025-07-02 10:33:04,576 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9560, top5_acc: 0.9947 +2025-07-02 10:33:48,038 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:13:39, time: 0.435, data_time: 0.251, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2336, loss: 0.2336 +2025-07-02 10:34:06,330 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1704, loss: 0.1704 +2025-07-02 10:34:24,300 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1765, loss: 0.1765 +2025-07-02 10:34:42,417 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:12:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2161, loss: 0.2161 +2025-07-02 10:35:00,101 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:12:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2098, loss: 0.2098 +2025-07-02 10:35:18,264 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1934, loss: 0.1934 +2025-07-02 10:35:36,131 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:11:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1778, loss: 0.1778 +2025-07-02 10:35:54,002 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:11:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2253, loss: 0.2253 +2025-07-02 10:36:12,287 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 10:36:49,810 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:36:49,839 - pyskl - INFO - +top1_acc 0.9559 +top5_acc 0.9957 +2025-07-02 10:36:49,841 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9559, top5_acc: 0.9957 +2025-07-02 10:37:32,154 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:10:52, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1783, loss: 0.1783 +2025-07-02 10:37:49,999 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:10:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2004, loss: 0.2004 +2025-07-02 10:38:07,793 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2208, loss: 0.2208 +2025-07-02 10:38:25,803 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:09:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1922, loss: 0.1922 +2025-07-02 10:38:43,685 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:09:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2014, loss: 0.2014 +2025-07-02 10:39:01,801 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2324, loss: 0.2324 +2025-07-02 10:39:19,621 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:08:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1925, loss: 0.1925 +2025-07-02 10:39:37,595 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:08:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2392, loss: 0.2392 +2025-07-02 10:39:55,592 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 10:40:32,704 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:40:32,728 - pyskl - INFO - +top1_acc 0.9503 +top5_acc 0.9957 +2025-07-02 10:40:32,729 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9503, top5_acc: 0.9957 +2025-07-02 10:41:15,443 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:04, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2089, loss: 0.2089 +2025-07-02 10:41:33,862 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:07:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1508, loss: 0.1508 +2025-07-02 10:41:51,960 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:07:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1836, loss: 0.1836 +2025-07-02 10:42:10,076 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1956, loss: 0.1956 +2025-07-02 10:42:28,128 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:06:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1946, loss: 0.1946 +2025-07-02 10:42:46,371 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:06:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1925, loss: 0.1925 +2025-07-02 10:43:04,521 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1917, loss: 0.1917 +2025-07-02 10:43:22,666 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:05:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2125, loss: 0.2125 +2025-07-02 10:43:40,911 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 10:44:18,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:44:18,033 - pyskl - INFO - +top1_acc 0.9494 +top5_acc 0.9950 +2025-07-02 10:44:18,034 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9494, top5_acc: 0.9950 +2025-07-02 10:45:00,039 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:18, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1827, loss: 0.1827 +2025-07-02 10:45:17,980 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:04:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1812, loss: 0.1812 +2025-07-02 10:45:35,961 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:04:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2311, loss: 0.2311 +2025-07-02 10:45:53,991 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 10:46:12,096 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.1980, loss: 0.1980 +2025-07-02 10:46:30,272 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:03:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.2095, loss: 0.2095 +2025-07-02 10:46:48,077 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:03:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1753, loss: 0.1753 +2025-07-02 10:47:06,089 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1725, loss: 0.1725 +2025-07-02 10:47:25,076 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 10:48:02,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:48:02,299 - pyskl - INFO - +top1_acc 0.9538 +top5_acc 0.9964 +2025-07-02 10:48:02,300 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9538, top5_acc: 0.9964 +2025-07-02 10:48:44,469 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:02:30, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1791, loss: 0.1791 +2025-07-02 10:49:02,516 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1554, loss: 0.1554 +2025-07-02 10:49:20,314 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:01:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1926, loss: 0.1926 +2025-07-02 10:49:38,636 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:01:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1845, loss: 0.1845 +2025-07-02 10:49:56,300 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1934, loss: 0.1934 +2025-07-02 10:50:14,352 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:00:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1493, loss: 0.1493 +2025-07-02 10:50:32,524 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:00:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1704, loss: 0.1704 +2025-07-02 10:50:50,754 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2310, loss: 0.2310 +2025-07-02 10:51:09,012 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 10:51:46,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:51:46,384 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9929 +2025-07-02 10:51:46,385 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9506, top5_acc: 0.9929 +2025-07-02 10:52:29,552 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 1:59:44, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1836, loss: 0.1836 +2025-07-02 10:52:47,544 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1662, loss: 0.1662 +2025-07-02 10:53:05,672 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 10:53:23,874 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:58:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1420, loss: 0.1420 +2025-07-02 10:53:41,768 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:58:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1432, loss: 0.1432 +2025-07-02 10:53:59,727 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.1940, loss: 0.1940 +2025-07-02 10:54:17,673 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:57:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 10:54:35,892 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:57:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1681, loss: 0.1681 +2025-07-02 10:54:53,986 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 10:55:31,428 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:55:31,462 - pyskl - INFO - +top1_acc 0.9555 +top5_acc 0.9957 +2025-07-02 10:55:31,463 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9555, top5_acc: 0.9957 +2025-07-02 10:56:14,121 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:56:57, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1607, loss: 0.1607 +2025-07-02 10:56:32,124 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:56:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1551, loss: 0.1551 +2025-07-02 10:56:50,288 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1686, loss: 0.1686 +2025-07-02 10:57:08,368 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1644, loss: 0.1644 +2025-07-02 10:57:26,216 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:55:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1465, loss: 0.1465 +2025-07-02 10:57:44,399 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1409, loss: 0.1409 +2025-07-02 10:58:02,291 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1387, loss: 0.1387 +2025-07-02 10:58:20,200 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:54:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1494, loss: 0.1494 +2025-07-02 10:58:38,295 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 10:59:14,892 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:59:14,915 - pyskl - INFO - +top1_acc 0.9503 +top5_acc 0.9947 +2025-07-02 10:59:14,916 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9503, top5_acc: 0.9947 +2025-07-02 10:59:57,491 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:10, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1763, loss: 0.1763 +2025-07-02 11:00:15,434 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:53:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1677, loss: 0.1677 +2025-07-02 11:00:34,104 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:53:32, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1843, loss: 0.1843 +2025-07-02 11:00:52,335 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1739, loss: 0.1739 +2025-07-02 11:01:10,592 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:52:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1604, loss: 0.1604 +2025-07-02 11:01:28,774 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:52:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1707, loss: 0.1707 +2025-07-02 11:01:46,851 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1214, loss: 0.1214 +2025-07-02 11:02:05,017 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:51:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1490, loss: 0.1490 +2025-07-02 11:02:23,220 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 11:03:00,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:03:00,440 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9960 +2025-07-02 11:03:00,445 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_102.pth was removed +2025-07-02 11:03:00,645 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 11:03:00,646 - pyskl - INFO - Best top1_acc is 0.9601 at 110 epoch. +2025-07-02 11:03:00,648 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9601, top5_acc: 0.9960 +2025-07-02 11:03:43,146 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:23, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1311, loss: 0.1311 +2025-07-02 11:04:01,074 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1244, loss: 0.1244 +2025-07-02 11:04:19,374 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:50:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 11:04:37,222 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1304, loss: 0.1304 +2025-07-02 11:04:55,441 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1235, loss: 0.1235 +2025-07-02 11:05:13,563 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:49:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1635, loss: 0.1635 +2025-07-02 11:05:31,682 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:49:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1227, loss: 0.1227 +2025-07-02 11:05:50,031 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1468, loss: 0.1468 +2025-07-02 11:06:08,322 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 11:06:45,808 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:06:45,831 - pyskl - INFO - +top1_acc 0.9606 +top5_acc 0.9950 +2025-07-02 11:06:45,835 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_110.pth was removed +2025-07-02 11:06:46,139 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 11:06:46,140 - pyskl - INFO - Best top1_acc is 0.9606 at 111 epoch. +2025-07-02 11:06:46,141 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9606, top5_acc: 0.9950 +2025-07-02 11:07:28,664 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:48:36, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 11:07:46,985 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1290, loss: 0.1290 +2025-07-02 11:08:05,189 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:47:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1433, loss: 0.1433 +2025-07-02 11:08:23,134 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 11:08:41,134 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 1.0000, loss_cls: 0.1360, loss: 0.1360 +2025-07-02 11:08:59,152 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1441, loss: 0.1441 +2025-07-02 11:09:17,042 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:46:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1259, loss: 0.1259 +2025-07-02 11:09:35,436 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1616, loss: 0.1616 +2025-07-02 11:09:53,831 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 11:10:31,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:10:31,333 - pyskl - INFO - +top1_acc 0.9574 +top5_acc 0.9961 +2025-07-02 11:10:31,335 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9574, top5_acc: 0.9961 +2025-07-02 11:11:14,077 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:45:49, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1738, loss: 0.1738 +2025-07-02 11:11:31,847 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 11:11:50,196 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1292, loss: 0.1292 +2025-07-02 11:12:08,460 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:44:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1277, loss: 0.1277 +2025-07-02 11:12:26,345 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:44:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1329, loss: 0.1329 +2025-07-02 11:12:44,375 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 11:13:02,065 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:43:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1244, loss: 0.1244 +2025-07-02 11:13:20,540 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:37, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1245, loss: 0.1245 +2025-07-02 11:13:38,548 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 11:14:15,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:14:15,758 - pyskl - INFO - +top1_acc 0.9566 +top5_acc 0.9957 +2025-07-02 11:14:15,759 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9566, top5_acc: 0.9957 +2025-07-02 11:14:58,072 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:02, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 11:15:15,621 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:42:43, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1403, loss: 0.1403 +2025-07-02 11:15:33,497 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1412, loss: 0.1412 +2025-07-02 11:15:51,570 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1193, loss: 0.1193 +2025-07-02 11:16:09,813 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:41:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1307, loss: 0.1307 +2025-07-02 11:16:27,703 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1375, loss: 0.1375 +2025-07-02 11:16:45,766 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1298, loss: 0.1298 +2025-07-02 11:17:03,821 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:40:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1799, loss: 0.1799 +2025-07-02 11:17:22,418 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 11:17:59,836 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:17:59,864 - pyskl - INFO - +top1_acc 0.9603 +top5_acc 0.9961 +2025-07-02 11:17:59,866 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9603, top5_acc: 0.9961 +2025-07-02 11:18:42,676 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:15, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1351, loss: 0.1351 +2025-07-02 11:19:00,736 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:39:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1213, loss: 0.1213 +2025-07-02 11:19:18,576 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1556, loss: 0.1556 +2025-07-02 11:19:36,351 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1297, loss: 0.1297 +2025-07-02 11:19:54,339 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:38:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1312, loss: 0.1312 +2025-07-02 11:20:12,152 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:38:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1264, loss: 0.1264 +2025-07-02 11:20:30,105 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1273, loss: 0.1273 +2025-07-02 11:20:48,023 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1121, loss: 0.1121 +2025-07-02 11:21:06,306 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 11:21:43,761 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:21:43,784 - pyskl - INFO - +top1_acc 0.9620 +top5_acc 0.9960 +2025-07-02 11:21:43,788 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_111.pth was removed +2025-07-02 11:21:43,982 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2025-07-02 11:21:43,983 - pyskl - INFO - Best top1_acc is 0.9620 at 115 epoch. +2025-07-02 11:21:43,985 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9620, top5_acc: 0.9960 +2025-07-02 11:22:27,531 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:28, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1258, loss: 0.1258 +2025-07-02 11:22:45,358 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1103, loss: 0.1103 +2025-07-02 11:23:03,683 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:36:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1149, loss: 0.1149 +2025-07-02 11:23:21,810 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1110, loss: 0.1110 +2025-07-02 11:23:39,744 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1175, loss: 0.1175 +2025-07-02 11:23:57,723 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:35:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1358, loss: 0.1358 +2025-07-02 11:24:15,501 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1123, loss: 0.1123 +2025-07-02 11:24:33,685 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1288, loss: 0.1288 +2025-07-02 11:24:51,924 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 11:25:29,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:25:29,302 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9961 +2025-07-02 11:25:29,306 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_115.pth was removed +2025-07-02 11:25:29,660 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-07-02 11:25:29,660 - pyskl - INFO - Best top1_acc is 0.9662 at 116 epoch. +2025-07-02 11:25:29,662 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9662, top5_acc: 0.9961 +2025-07-02 11:26:12,283 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:40, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1371, loss: 0.1371 +2025-07-02 11:26:30,163 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1329, loss: 0.1329 +2025-07-02 11:26:48,270 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 11:27:06,200 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:33:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0877, loss: 0.0877 +2025-07-02 11:27:24,256 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1131, loss: 0.1131 +2025-07-02 11:27:42,538 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1328, loss: 0.1328 +2025-07-02 11:28:00,592 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:32:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1181, loss: 0.1181 +2025-07-02 11:28:18,615 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1264, loss: 0.1264 +2025-07-02 11:28:37,203 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 11:29:14,387 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:29:14,411 - pyskl - INFO - +top1_acc 0.9659 +top5_acc 0.9955 +2025-07-02 11:29:14,412 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9659, top5_acc: 0.9955 +2025-07-02 11:29:57,195 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:31:53, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 11:30:15,254 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0984, loss: 0.0984 +2025-07-02 11:30:33,312 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9969, loss_cls: 0.1323, loss: 0.1323 +2025-07-02 11:30:51,110 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:30:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1006, loss: 0.1006 +2025-07-02 11:31:09,017 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 11:31:27,009 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1205, loss: 0.1205 +2025-07-02 11:31:44,691 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:00, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 11:32:02,631 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1300, loss: 0.1300 +2025-07-02 11:32:20,956 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 11:32:57,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:32:57,703 - pyskl - INFO - +top1_acc 0.9631 +top5_acc 0.9957 +2025-07-02 11:32:57,704 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9631, top5_acc: 0.9957 +2025-07-02 11:33:40,281 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:05, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1291, loss: 0.1291 +2025-07-02 11:33:58,326 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:28:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1219, loss: 0.1219 +2025-07-02 11:34:16,462 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1021, loss: 0.1021 +2025-07-02 11:34:34,526 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0996, loss: 0.0996 +2025-07-02 11:34:52,364 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:27:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 11:35:10,312 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1210, loss: 0.1210 +2025-07-02 11:35:28,017 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9969, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 11:35:45,803 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:26:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1349, loss: 0.1349 +2025-07-02 11:36:04,195 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 11:36:41,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:36:41,636 - pyskl - INFO - +top1_acc 0.9637 +top5_acc 0.9961 +2025-07-02 11:36:41,638 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9637, top5_acc: 0.9961 +2025-07-02 11:37:25,577 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:18, time: 0.439, data_time: 0.254, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1244, loss: 0.1244 +2025-07-02 11:37:43,945 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1065, loss: 0.1065 +2025-07-02 11:38:01,792 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1069, loss: 0.1069 +2025-07-02 11:38:19,464 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0937, loss: 0.0937 +2025-07-02 11:38:37,672 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1092, loss: 0.1092 +2025-07-02 11:38:55,316 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1099, loss: 0.1099 +2025-07-02 11:39:13,227 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0865, loss: 0.0865 +2025-07-02 11:39:31,191 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0967, loss: 0.0967 +2025-07-02 11:39:49,540 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 11:40:27,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:40:27,418 - pyskl - INFO - +top1_acc 0.9654 +top5_acc 0.9960 +2025-07-02 11:40:27,419 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9654, top5_acc: 0.9960 +2025-07-02 11:41:11,411 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:31, time: 0.440, data_time: 0.253, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1096, loss: 0.1096 +2025-07-02 11:41:29,372 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0966, loss: 0.0966 +2025-07-02 11:41:47,378 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:22:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 11:42:05,597 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 11:42:23,871 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 11:42:42,126 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:21:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1040, loss: 0.1040 +2025-07-02 11:43:00,601 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:38, time: 0.185, data_time: 0.001, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0818, loss: 0.0818 +2025-07-02 11:43:18,804 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 11:43:37,510 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 11:44:14,640 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:44:14,664 - pyskl - INFO - +top1_acc 0.9673 +top5_acc 0.9958 +2025-07-02 11:44:14,668 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_116.pth was removed +2025-07-02 11:44:14,975 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 11:44:14,975 - pyskl - INFO - Best top1_acc is 0.9673 at 121 epoch. +2025-07-02 11:44:14,977 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9673, top5_acc: 0.9958 +2025-07-02 11:44:58,167 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:44, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0906, loss: 0.0906 +2025-07-02 11:45:16,150 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0844, loss: 0.0844 +2025-07-02 11:45:34,141 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0717, loss: 0.0717 +2025-07-02 11:45:52,190 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:19:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0819, loss: 0.0819 +2025-07-02 11:46:10,372 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0821, loss: 0.0821 +2025-07-02 11:46:28,814 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1093, loss: 0.1093 +2025-07-02 11:46:46,864 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:18:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0965, loss: 0.0965 +2025-07-02 11:47:04,944 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1019, loss: 0.1019 +2025-07-02 11:47:23,570 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 11:48:00,692 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:48:00,716 - pyskl - INFO - +top1_acc 0.9622 +top5_acc 0.9960 +2025-07-02 11:48:00,717 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9622, top5_acc: 0.9960 +2025-07-02 11:48:43,807 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:17:57, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 11:49:01,861 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 11:49:19,688 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 11:49:37,693 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0774, loss: 0.0774 +2025-07-02 11:49:55,602 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0772, loss: 0.0772 +2025-07-02 11:50:13,545 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0769, loss: 0.0769 +2025-07-02 11:50:31,614 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0733, loss: 0.0733 +2025-07-02 11:50:49,543 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1001, loss: 0.1001 +2025-07-02 11:51:08,270 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 11:51:45,670 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:51:45,700 - pyskl - INFO - +top1_acc 0.9652 +top5_acc 0.9962 +2025-07-02 11:51:45,701 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9652, top5_acc: 0.9962 +2025-07-02 11:52:29,170 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:10, time: 0.435, data_time: 0.246, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 11:52:47,628 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:14:51, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0614, loss: 0.0614 +2025-07-02 11:53:05,632 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 11:53:23,930 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 11:53:42,148 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:13:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0860, loss: 0.0860 +2025-07-02 11:54:00,233 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0909, loss: 0.0909 +2025-07-02 11:54:18,186 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0711, loss: 0.0711 +2025-07-02 11:54:36,212 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:12:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0724, loss: 0.0724 +2025-07-02 11:54:54,427 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 11:55:31,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:55:31,787 - pyskl - INFO - +top1_acc 0.9663 +top5_acc 0.9965 +2025-07-02 11:55:31,788 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9663, top5_acc: 0.9965 +2025-07-02 11:56:14,724 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:22, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0769, loss: 0.0769 +2025-07-02 11:56:32,994 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 11:56:51,104 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0840, loss: 0.0840 +2025-07-02 11:57:09,341 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 11:57:27,763 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0771, loss: 0.0771 +2025-07-02 11:57:46,004 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0834, loss: 0.0834 +2025-07-02 11:58:04,078 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0816, loss: 0.0816 +2025-07-02 11:58:21,984 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 11:58:40,489 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 11:59:17,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:59:17,606 - pyskl - INFO - +top1_acc 0.9681 +top5_acc 0.9964 +2025-07-02 11:59:17,611 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_121.pth was removed +2025-07-02 11:59:17,801 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2025-07-02 11:59:17,801 - pyskl - INFO - Best top1_acc is 0.9681 at 125 epoch. +2025-07-02 11:59:17,803 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9681, top5_acc: 0.9964 +2025-07-02 12:00:01,938 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:35, time: 0.441, data_time: 0.257, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0663, loss: 0.0663 +2025-07-02 12:00:20,121 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 12:00:38,017 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:08:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 12:00:56,118 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 12:01:14,018 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0895, loss: 0.0895 +2025-07-02 12:01:32,078 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0743, loss: 0.0743 +2025-07-02 12:01:50,081 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 12:02:07,951 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0753, loss: 0.0753 +2025-07-02 12:02:26,760 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 12:03:04,188 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:03:04,217 - pyskl - INFO - +top1_acc 0.9672 +top5_acc 0.9962 +2025-07-02 12:03:04,218 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9672, top5_acc: 0.9962 +2025-07-02 12:03:46,439 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:48, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 12:04:04,769 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 12:04:22,730 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0699, loss: 0.0699 +2025-07-02 12:04:40,955 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:05:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 12:04:59,155 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0796, loss: 0.0796 +2025-07-02 12:05:17,558 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 12:05:35,367 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:04:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0508, loss: 0.0508 +2025-07-02 12:05:53,652 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0585, loss: 0.0585 +2025-07-02 12:06:12,309 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 12:06:50,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:06:50,788 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9961 +2025-07-02 12:06:50,793 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_125.pth was removed +2025-07-02 12:06:51,000 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 12:06:51,001 - pyskl - INFO - Best top1_acc is 0.9691 at 127 epoch. +2025-07-02 12:06:51,003 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9691, top5_acc: 0.9961 +2025-07-02 12:07:34,489 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:00, time: 0.435, data_time: 0.248, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0669, loss: 0.0669 +2025-07-02 12:07:52,761 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0578, loss: 0.0578 +2025-07-02 12:08:10,845 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 12:08:28,795 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0549, loss: 0.0549 +2025-07-02 12:08:47,008 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 12:09:05,514 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:26, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 12:09:23,480 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 12:09:41,707 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0814, loss: 0.0814 +2025-07-02 12:10:00,028 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 12:10:37,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:10:37,075 - pyskl - INFO - +top1_acc 0.9684 +top5_acc 0.9960 +2025-07-02 12:10:37,077 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9684, top5_acc: 0.9960 +2025-07-02 12:11:21,755 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:13, time: 0.447, data_time: 0.259, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 12:11:40,044 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:00:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 12:11:57,917 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0800, loss: 0.0800 +2025-07-02 12:12:16,096 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 12:12:34,271 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 0:59:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 12:12:52,404 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 12:13:10,553 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0697, loss: 0.0697 +2025-07-02 12:13:28,376 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 12:13:46,846 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 12:14:23,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:14:24,005 - pyskl - INFO - +top1_acc 0.9701 +top5_acc 0.9965 +2025-07-02 12:14:24,009 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_127.pth was removed +2025-07-02 12:14:24,173 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2025-07-02 12:14:24,174 - pyskl - INFO - Best top1_acc is 0.9701 at 129 epoch. +2025-07-02 12:14:24,175 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9701, top5_acc: 0.9965 +2025-07-02 12:15:07,656 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:26, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0708, loss: 0.0708 +2025-07-02 12:15:25,717 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 12:15:43,663 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0528, loss: 0.0528 +2025-07-02 12:16:01,449 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 12:16:19,369 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 12:16:37,536 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:56:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0763, loss: 0.0763 +2025-07-02 12:16:55,545 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0542, loss: 0.0542 +2025-07-02 12:17:13,593 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0657, loss: 0.0657 +2025-07-02 12:17:32,266 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 12:18:10,424 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:18:10,454 - pyskl - INFO - +top1_acc 0.9687 +top5_acc 0.9965 +2025-07-02 12:18:10,456 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9687, top5_acc: 0.9965 +2025-07-02 12:18:55,116 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:38, time: 0.447, data_time: 0.259, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 12:19:13,125 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 12:19:31,407 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 12:19:49,189 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 12:20:07,311 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 12:20:25,232 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 12:20:42,984 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 12:21:01,118 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 12:21:19,705 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 12:21:57,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:21:57,242 - pyskl - INFO - +top1_acc 0.9701 +top5_acc 0.9967 +2025-07-02 12:21:57,243 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9701, top5_acc: 0.9967 +2025-07-02 12:22:40,355 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:51, time: 0.431, data_time: 0.241, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0629, loss: 0.0629 +2025-07-02 12:22:58,585 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 12:23:16,676 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 12:23:34,900 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:51:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 12:23:52,768 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 12:24:10,976 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 12:24:28,908 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:50:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 12:24:46,860 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 12:25:05,287 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 12:25:42,662 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:25:42,691 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9955 +2025-07-02 12:25:42,692 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9698, top5_acc: 0.9955 +2025-07-02 12:26:26,389 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:03, time: 0.437, data_time: 0.250, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 12:26:44,645 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 12:27:02,520 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 12:27:20,646 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 12:27:38,878 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0550, loss: 0.0550 +2025-07-02 12:27:56,560 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 12:28:14,726 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 12:28:32,647 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 12:28:51,138 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 12:29:27,431 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:29:27,454 - pyskl - INFO - +top1_acc 0.9688 +top5_acc 0.9961 +2025-07-02 12:29:27,455 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9688, top5_acc: 0.9961 +2025-07-02 12:30:10,989 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:15, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 12:30:29,140 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:46:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 12:30:46,959 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 12:31:04,700 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 12:31:22,873 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 12:31:40,816 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 12:31:58,637 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 12:32:16,437 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 12:32:34,895 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 12:33:11,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:33:11,592 - pyskl - INFO - +top1_acc 0.9734 +top5_acc 0.9967 +2025-07-02 12:33:11,597 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_129.pth was removed +2025-07-02 12:33:11,803 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 12:33:11,804 - pyskl - INFO - Best top1_acc is 0.9734 at 134 epoch. +2025-07-02 12:33:11,805 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9734, top5_acc: 0.9967 +2025-07-02 12:33:54,790 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:27, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 12:34:12,706 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 12:34:30,888 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 12:34:48,835 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 12:35:06,610 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 12:35:24,784 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 12:35:42,875 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 12:36:00,981 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 12:36:19,352 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 12:36:56,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:36:56,358 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9965 +2025-07-02 12:36:56,359 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9726, top5_acc: 0.9965 +2025-07-02 12:37:39,369 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:40, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 12:37:57,781 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 12:38:15,894 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 12:38:34,146 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 12:38:51,952 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 12:39:10,072 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 12:39:28,252 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 12:39:46,431 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 12:40:04,683 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 12:40:41,462 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:40:41,486 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9968 +2025-07-02 12:40:41,487 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9722, top5_acc: 0.9968 +2025-07-02 12:41:24,542 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:52, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 12:41:42,819 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 12:42:00,737 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 12:42:18,443 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:37:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 12:42:36,190 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 12:42:54,174 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 12:43:12,016 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:36:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 12:43:29,887 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 12:43:48,297 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 12:44:25,662 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:44:25,686 - pyskl - INFO - +top1_acc 0.9734 +top5_acc 0.9967 +2025-07-02 12:44:25,687 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9734, top5_acc: 0.9967 +2025-07-02 12:45:08,218 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:04, time: 0.425, data_time: 0.235, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 12:45:26,399 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0544, loss: 0.0544 +2025-07-02 12:45:44,350 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 12:46:02,255 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 12:46:20,494 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 12:46:38,390 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 12:46:56,474 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 12:47:14,654 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 12:47:32,929 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 12:48:10,232 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:48:10,263 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9968 +2025-07-02 12:48:10,264 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9726, top5_acc: 0.9968 +2025-07-02 12:48:55,403 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:16, time: 0.451, data_time: 0.265, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 12:49:13,863 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:32:58, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 12:49:32,139 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 12:49:50,187 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 12:50:08,173 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 12:50:26,371 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 12:50:44,258 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 12:51:02,056 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 12:51:20,120 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 12:51:56,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:51:56,915 - pyskl - INFO - +top1_acc 0.9740 +top5_acc 0.9969 +2025-07-02 12:51:56,920 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_134.pth was removed +2025-07-02 12:51:57,137 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-07-02 12:51:57,137 - pyskl - INFO - Best top1_acc is 0.9740 at 139 epoch. +2025-07-02 12:51:57,139 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9740, top5_acc: 0.9969 +2025-07-02 12:52:40,363 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:29, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9975, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 12:52:58,881 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 12:53:17,081 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 12:53:34,793 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 12:53:52,866 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 12:54:10,745 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 12:54:29,023 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 12:54:46,731 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 12:55:05,186 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 12:55:43,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:55:43,054 - pyskl - INFO - +top1_acc 0.9740 +top5_acc 0.9967 +2025-07-02 12:55:43,055 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9740, top5_acc: 0.9967 +2025-07-02 12:56:25,556 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:41, time: 0.425, data_time: 0.239, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 12:56:43,597 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 12:57:01,595 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 12:57:19,445 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 12:57:37,565 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 12:57:55,562 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 12:58:13,636 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 12:58:31,279 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 12:58:49,946 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 12:59:29,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:59:29,373 - pyskl - INFO - +top1_acc 0.9715 +top5_acc 0.9962 +2025-07-02 12:59:29,376 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9715, top5_acc: 0.9962 +2025-07-02 13:00:12,949 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:53, time: 0.436, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 13:00:30,868 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 13:00:48,935 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 13:01:06,587 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 13:01:24,686 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 13:01:42,317 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 13:02:00,363 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 13:02:18,091 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 13:02:36,367 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 13:03:14,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:03:14,855 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9962 +2025-07-02 13:03:14,856 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9726, top5_acc: 0.9962 +2025-07-02 13:03:58,289 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:05, time: 0.434, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 13:04:16,358 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 13:04:33,965 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:27, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 13:04:51,787 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 13:05:09,614 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 13:05:27,460 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 13:05:45,368 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 13:06:03,131 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 13:06:21,768 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 13:06:59,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:06:59,641 - pyskl - INFO - +top1_acc 0.9720 +top5_acc 0.9962 +2025-07-02 13:06:59,642 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9720, top5_acc: 0.9962 +2025-07-02 13:07:42,702 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:17, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 13:08:00,873 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:18:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 13:08:18,821 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 13:08:36,651 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 13:08:54,573 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 13:09:12,485 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 13:09:30,456 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 13:09:48,065 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 13:10:06,387 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 13:10:44,052 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:10:44,075 - pyskl - INFO - +top1_acc 0.9738 +top5_acc 0.9967 +2025-07-02 13:10:44,076 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9738, top5_acc: 0.9967 +2025-07-02 13:11:26,272 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:29, time: 0.422, data_time: 0.237, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 13:11:44,407 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 13:12:02,601 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 13:12:20,449 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 13:12:38,599 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 13:12:56,642 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 13:13:14,705 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 13:13:32,496 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 13:13:51,183 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 13:14:28,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:14:28,815 - pyskl - INFO - +top1_acc 0.9727 +top5_acc 0.9967 +2025-07-02 13:14:28,816 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9727, top5_acc: 0.9967 +2025-07-02 13:15:12,044 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:41, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 13:15:29,933 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 13:15:48,019 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 13:16:06,142 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 13:16:24,141 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 13:16:42,282 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 13:17:00,779 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 13:17:18,745 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 13:17:37,277 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 13:18:15,046 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:18:15,074 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9968 +2025-07-02 13:18:15,075 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9726, top5_acc: 0.9968 +2025-07-02 13:18:57,768 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:53, time: 0.427, data_time: 0.239, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 13:19:16,460 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:34, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 13:19:34,538 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 13:19:52,544 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 13:20:10,649 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 13:20:28,848 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 13:20:47,111 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 13:21:05,033 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 13:21:23,493 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 13:22:01,056 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:22:01,085 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9965 +2025-07-02 13:22:01,086 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9729, top5_acc: 0.9965 +2025-07-02 13:22:43,656 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:05, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 13:23:01,780 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 13:23:20,139 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 13:23:38,300 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 13:23:56,172 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 13:24:14,713 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:31, time: 0.185, data_time: 0.001, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 13:24:33,149 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 13:24:50,989 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 13:25:09,552 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 13:25:47,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:25:47,043 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9968 +2025-07-02 13:25:47,044 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9726, top5_acc: 0.9968 +2025-07-02 13:26:29,810 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:17, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 13:26:48,109 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 13:27:06,104 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 13:27:24,219 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0250, loss: 0.0250 +2025-07-02 13:27:42,134 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 13:28:00,267 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 13:28:18,366 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 13:28:36,210 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 13:28:54,648 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 13:29:32,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:29:32,563 - pyskl - INFO - +top1_acc 0.9719 +top5_acc 0.9968 +2025-07-02 13:29:32,564 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9719, top5_acc: 0.9968 +2025-07-02 13:30:15,568 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 13:30:33,901 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 13:30:52,430 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:51, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 13:31:10,540 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0264, loss: 0.0264 +2025-07-02 13:31:28,446 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 13:31:46,693 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 13:32:05,026 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 13:32:22,794 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 13:32:41,138 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 13:33:17,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:33:17,799 - pyskl - INFO - +top1_acc 0.9731 +top5_acc 0.9965 +2025-07-02 13:33:17,800 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9731, top5_acc: 0.9965 +2025-07-02 13:33:25,278 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 13:37:00,942 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 13:37:00,942 - pyskl - INFO - top1_acc: 0.9748 +2025-07-02 13:37:00,942 - pyskl - INFO - top5_acc: 0.9968 +2025-07-02 13:37:00,943 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/bm/best_top1_acc_epoch_139.pth +2025-07-02 13:40:31,765 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 13:40:31,765 - pyskl - INFO - top1_acc: 0.9759 +2025-07-02 13:40:31,765 - pyskl - INFO - top5_acc: 0.9971 diff --git a/pku_mmd_xview/bm/20250702_041410.log.json b/pku_mmd_xview/bm/20250702_041410.log.json new file mode 100644 index 0000000000000000000000000000000000000000..af4b0150c133f13a57d9dc0198e7b9e05d49e6e7 --- /dev/null +++ b/pku_mmd_xview/bm/20250702_041410.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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a/pku_mmd_xview/bm/best_pred.pkl b/pku_mmd_xview/bm/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..d153e1680782768fb3f43ee0bf39d495e0302d3b --- /dev/null +++ b/pku_mmd_xview/bm/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3f93ddc825d9b2f28cc8c85331ac38bc23799117183032a047d221c0ffd42312 +size 2537047 diff --git a/pku_mmd_xview/bm/best_top1_acc_epoch_139.pth b/pku_mmd_xview/bm/best_top1_acc_epoch_139.pth new file mode 100644 index 0000000000000000000000000000000000000000..4087c54eaaa185e97618e5935ff7d774dd50e33b --- /dev/null +++ b/pku_mmd_xview/bm/best_top1_acc_epoch_139.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82e3ae99c4adf08a1fb231f3246cdc08037390ac34024d8c3f9de62356b28651 +size 32917105 diff --git a/pku_mmd_xview/bm/bm.py b/pku_mmd_xview/bm/bm.py new file mode 100644 index 0000000000000000000000000000000000000000..269682483520a4199a7427a8bff511bf1cc8dfbf --- /dev/null +++ b/pku_mmd_xview/bm/bm.py @@ -0,0 +1,98 @@ +modality = 'bm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/bm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['bm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/j_1/20250701_173602.log b/pku_mmd_xview/j_1/20250701_173602.log new file mode 100644 index 0000000000000000000000000000000000000000..ef2c26dbab2c07fa413d8f1515380ba7261ba7fc --- /dev/null +++ b/pku_mmd_xview/j_1/20250701_173602.log @@ -0,0 +1,2395 @@ +2025-07-01 17:36:02,411 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-01 17:36:02,749 - pyskl - INFO - Config: modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/j_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-01 17:36:02,750 - pyskl - INFO - Set random seed to 309531297, deterministic: False +2025-07-01 17:36:08,510 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-01 17:36:16,434 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-01 17:36:16,435 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1 +2025-07-01 17:36:16,435 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-01 17:36:16,436 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-01 17:36:16,436 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1 by HardDiskBackend. +2025-07-01 17:36:59,194 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:59:03, time: 0.428, data_time: 0.248, memory: 2902, top1_acc: 0.0719, top5_acc: 0.2313, loss_cls: 4.2576, loss: 4.2576 +2025-07-01 17:37:16,078 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 11:08:24, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.1288, top5_acc: 0.4431, loss_cls: 3.8078, loss: 3.8078 +2025-07-01 17:37:33,098 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:32:20, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.1694, top5_acc: 0.5587, loss_cls: 3.4846, loss: 3.4846 +2025-07-01 17:37:50,380 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:45:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.2381, top5_acc: 0.6787, loss_cls: 3.1227, loss: 3.1227 +2025-07-01 17:38:07,450 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:16:33, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.2981, top5_acc: 0.7394, loss_cls: 2.8796, loss: 2.8796 +2025-07-01 17:38:24,515 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:57:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.3387, top5_acc: 0.8169, loss_cls: 2.5743, loss: 2.5743 +2025-07-01 17:38:41,547 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:42:56, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.3887, top5_acc: 0.8256, loss_cls: 2.4111, loss: 2.4111 +2025-07-01 17:38:58,624 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:32:24, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.4387, top5_acc: 0.8531, loss_cls: 2.2811, loss: 2.2811 +2025-07-01 17:39:15,989 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-01 17:39:53,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:39:53,063 - pyskl - INFO - +top1_acc 0.5392 +top5_acc 0.9196 +2025-07-01 17:39:53,264 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-01 17:39:53,264 - pyskl - INFO - Best top1_acc is 0.5392 at 1 epoch. +2025-07-01 17:39:53,266 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.5392, top5_acc: 0.9196 +2025-07-01 17:40:35,750 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:36:57, time: 0.425, data_time: 0.252, memory: 2902, top1_acc: 0.4900, top5_acc: 0.8781, loss_cls: 2.1534, loss: 2.1534 +2025-07-01 17:40:53,190 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:30:23, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5269, top5_acc: 0.8994, loss_cls: 1.9622, loss: 1.9622 +2025-07-01 17:41:10,185 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:24:03, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.5513, top5_acc: 0.9194, loss_cls: 1.8649, loss: 1.8649 +2025-07-01 17:41:27,306 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:18:51, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.5225, top5_acc: 0.9075, loss_cls: 1.8836, loss: 1.8836 +2025-07-01 17:41:44,691 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:14:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5800, top5_acc: 0.9213, loss_cls: 1.7760, loss: 1.7760 +2025-07-01 17:42:02,076 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:11:13, time: 0.174, data_time: 0.001, memory: 2902, top1_acc: 0.5944, top5_acc: 0.9325, loss_cls: 1.7036, loss: 1.7036 +2025-07-01 17:42:19,098 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:07:33, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.6156, top5_acc: 0.9306, loss_cls: 1.6745, loss: 1.6745 +2025-07-01 17:42:36,470 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:04:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6188, top5_acc: 0.9337, loss_cls: 1.6162, loss: 1.6162 +2025-07-01 17:42:53,932 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-01 17:43:30,776 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:43:30,801 - pyskl - INFO - +top1_acc 0.6524 +top5_acc 0.9755 +2025-07-01 17:43:30,805 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_1.pth was removed +2025-07-01 17:43:30,990 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-01 17:43:30,991 - pyskl - INFO - Best top1_acc is 0.6524 at 2 epoch. +2025-07-01 17:43:30,992 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.6524, top5_acc: 0.9755 +2025-07-01 17:44:13,392 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:09:19, time: 0.424, data_time: 0.249, memory: 2902, top1_acc: 0.6144, top5_acc: 0.9287, loss_cls: 1.6177, loss: 1.6177 +2025-07-01 17:44:30,870 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:06:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6550, top5_acc: 0.9444, loss_cls: 1.5116, loss: 1.5116 +2025-07-01 17:44:48,069 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:04:20, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6637, top5_acc: 0.9419, loss_cls: 1.4493, loss: 1.4493 +2025-07-01 17:45:05,232 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:01:58, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6350, top5_acc: 0.9413, loss_cls: 1.5338, loss: 1.5338 +2025-07-01 17:45:22,397 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 6:59:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6619, top5_acc: 0.9394, loss_cls: 1.4501, loss: 1.4501 +2025-07-01 17:45:39,605 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:57:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6794, top5_acc: 0.9481, loss_cls: 1.4278, loss: 1.4278 +2025-07-01 17:45:56,748 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:55:53, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7188, top5_acc: 0.9519, loss_cls: 1.3175, loss: 1.3175 +2025-07-01 17:46:14,015 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:54:12, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7069, top5_acc: 0.9487, loss_cls: 1.3716, loss: 1.3716 +2025-07-01 17:46:31,589 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-01 17:47:08,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:47:08,752 - pyskl - INFO - +top1_acc 0.7262 +top5_acc 0.9649 +2025-07-01 17:47:08,756 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_2.pth was removed +2025-07-01 17:47:08,939 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-01 17:47:08,939 - pyskl - INFO - Best top1_acc is 0.7262 at 3 epoch. +2025-07-01 17:47:08,941 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7262, top5_acc: 0.9649 +2025-07-01 17:47:50,407 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:56:54, time: 0.415, data_time: 0.238, memory: 2902, top1_acc: 0.6925, top5_acc: 0.9550, loss_cls: 1.3382, loss: 1.3382 +2025-07-01 17:48:07,442 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:55:07, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7144, top5_acc: 0.9556, loss_cls: 1.2762, loss: 1.2762 +2025-07-01 17:48:24,489 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:53:26, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7312, top5_acc: 0.9537, loss_cls: 1.2572, loss: 1.2572 +2025-07-01 17:48:41,618 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:51:55, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7212, top5_acc: 0.9631, loss_cls: 1.2327, loss: 1.2327 +2025-07-01 17:48:58,675 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:50:25, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7106, top5_acc: 0.9619, loss_cls: 1.2911, loss: 1.2911 +2025-07-01 17:49:15,798 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:49:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7256, top5_acc: 0.9613, loss_cls: 1.1965, loss: 1.1965 +2025-07-01 17:49:32,709 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:47:35, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.7381, top5_acc: 0.9637, loss_cls: 1.1922, loss: 1.1922 +2025-07-01 17:49:49,861 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:46:22, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7438, top5_acc: 0.9619, loss_cls: 1.2240, loss: 1.2240 +2025-07-01 17:50:07,623 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-01 17:50:44,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:50:44,543 - pyskl - INFO - +top1_acc 0.7881 +top5_acc 0.9834 +2025-07-01 17:50:44,547 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_3.pth was removed +2025-07-01 17:50:44,729 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-01 17:50:44,729 - pyskl - INFO - Best top1_acc is 0.7881 at 4 epoch. +2025-07-01 17:50:44,731 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7881, top5_acc: 0.9834 +2025-07-01 17:51:25,948 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:48:21, time: 0.412, data_time: 0.237, memory: 2902, top1_acc: 0.7144, top5_acc: 0.9600, loss_cls: 1.2515, loss: 1.2515 +2025-07-01 17:51:43,357 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:47:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7200, top5_acc: 0.9644, loss_cls: 1.2061, loss: 1.2061 +2025-07-01 17:52:00,656 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:46:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7569, top5_acc: 0.9688, loss_cls: 1.1257, loss: 1.1257 +2025-07-01 17:52:17,874 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:45:08, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7331, top5_acc: 0.9681, loss_cls: 1.1983, loss: 1.1983 +2025-07-01 17:52:35,235 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:44:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7412, top5_acc: 0.9631, loss_cls: 1.1669, loss: 1.1669 +2025-07-01 17:52:52,420 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:43:09, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7556, top5_acc: 0.9656, loss_cls: 1.1172, loss: 1.1172 +2025-07-01 17:53:09,593 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:42:09, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7438, top5_acc: 0.9625, loss_cls: 1.1517, loss: 1.1517 +2025-07-01 17:53:26,827 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:41:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7738, top5_acc: 0.9725, loss_cls: 1.0902, loss: 1.0902 +2025-07-01 17:53:44,651 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-01 17:54:21,543 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:54:21,572 - pyskl - INFO - +top1_acc 0.7586 +top5_acc 0.9759 +2025-07-01 17:54:21,575 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.7586, top5_acc: 0.9759 +2025-07-01 17:55:05,367 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:44:00, time: 0.438, data_time: 0.262, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9725, loss_cls: 1.0263, loss: 1.0263 +2025-07-01 17:55:22,820 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:43:09, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7494, top5_acc: 0.9587, loss_cls: 1.1719, loss: 1.1719 +2025-07-01 17:55:40,496 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:42:25, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7481, top5_acc: 0.9637, loss_cls: 1.1360, loss: 1.1360 +2025-07-01 17:55:57,986 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:41:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7625, top5_acc: 0.9712, loss_cls: 1.0770, loss: 1.0770 +2025-07-01 17:56:15,517 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:40:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7288, top5_acc: 0.9544, loss_cls: 1.1988, loss: 1.1988 +2025-07-01 17:56:32,977 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:40:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9756, loss_cls: 0.9713, loss: 0.9713 +2025-07-01 17:56:50,197 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:39:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9706, loss_cls: 1.0449, loss: 1.0449 +2025-07-01 17:57:07,538 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:38:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7750, top5_acc: 0.9663, loss_cls: 1.0522, loss: 1.0522 +2025-07-01 17:57:25,490 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-01 17:58:03,226 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:58:03,249 - pyskl - INFO - +top1_acc 0.8097 +top5_acc 0.9846 +2025-07-01 17:58:03,254 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_4.pth was removed +2025-07-01 17:58:03,482 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-01 17:58:03,482 - pyskl - INFO - Best top1_acc is 0.8097 at 6 epoch. +2025-07-01 17:58:03,485 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8097, top5_acc: 0.9846 +2025-07-01 17:58:46,445 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:40:21, time: 0.430, data_time: 0.257, memory: 2902, top1_acc: 0.7631, top5_acc: 0.9656, loss_cls: 1.0997, loss: 1.0997 +2025-07-01 17:59:03,505 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:39:27, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9781, loss_cls: 0.9589, loss: 0.9589 +2025-07-01 17:59:20,515 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:38:34, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9663, loss_cls: 1.0216, loss: 1.0216 +2025-07-01 17:59:37,879 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:37:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9725, loss_cls: 1.0039, loss: 1.0039 +2025-07-01 17:59:54,916 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:36:58, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7681, top5_acc: 0.9688, loss_cls: 1.0658, loss: 1.0658 +2025-07-01 18:00:11,955 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:36:08, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9788, loss_cls: 0.9405, loss: 0.9405 +2025-07-01 18:00:29,154 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:35:23, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7688, top5_acc: 0.9769, loss_cls: 1.0346, loss: 1.0346 +2025-07-01 18:00:46,334 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:34:38, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7856, top5_acc: 0.9706, loss_cls: 0.9900, loss: 0.9900 +2025-07-01 18:01:03,840 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-01 18:01:41,260 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:01:41,284 - pyskl - INFO - +top1_acc 0.7681 +top5_acc 0.9782 +2025-07-01 18:01:41,285 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.7681, top5_acc: 0.9782 +2025-07-01 18:02:23,450 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:35:56, time: 0.422, data_time: 0.247, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9744, loss_cls: 1.0077, loss: 1.0077 +2025-07-01 18:02:40,619 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:35:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7819, top5_acc: 0.9663, loss_cls: 1.0158, loss: 1.0158 +2025-07-01 18:02:57,782 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:34:26, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7894, top5_acc: 0.9819, loss_cls: 0.9609, loss: 0.9609 +2025-07-01 18:03:14,968 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:33:43, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9775, loss_cls: 0.9166, loss: 0.9166 +2025-07-01 18:03:32,113 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:33:00, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7894, top5_acc: 0.9725, loss_cls: 1.0173, loss: 1.0173 +2025-07-01 18:03:49,646 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:32:25, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9775, loss_cls: 0.9748, loss: 0.9748 +2025-07-01 18:04:06,642 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:31:40, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9681, loss_cls: 0.9674, loss: 0.9674 +2025-07-01 18:04:23,983 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:31:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9775, loss_cls: 0.9351, loss: 0.9351 +2025-07-01 18:04:41,676 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-01 18:05:18,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:05:18,471 - pyskl - INFO - +top1_acc 0.8275 +top5_acc 0.9858 +2025-07-01 18:05:18,476 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_6.pth was removed +2025-07-01 18:05:18,701 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-01 18:05:18,702 - pyskl - INFO - Best top1_acc is 0.8275 at 8 epoch. +2025-07-01 18:05:18,703 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8275, top5_acc: 0.9858 +2025-07-01 18:06:01,467 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:32:18, time: 0.428, data_time: 0.255, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9769, loss_cls: 0.8735, loss: 0.8735 +2025-07-01 18:06:18,850 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:31:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9812, loss_cls: 0.8827, loss: 0.8827 +2025-07-01 18:06:36,001 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:31:00, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7906, top5_acc: 0.9725, loss_cls: 0.9537, loss: 0.9537 +2025-07-01 18:06:53,111 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:30:19, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9781, loss_cls: 0.8771, loss: 0.8771 +2025-07-01 18:07:10,434 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:29:42, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7894, top5_acc: 0.9775, loss_cls: 0.9439, loss: 0.9439 +2025-07-01 18:07:27,785 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:29:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9788, loss_cls: 0.8845, loss: 0.8845 +2025-07-01 18:07:44,830 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:28:26, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7875, top5_acc: 0.9706, loss_cls: 0.9878, loss: 0.9878 +2025-07-01 18:08:01,966 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:27:48, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7913, top5_acc: 0.9712, loss_cls: 0.9889, loss: 0.9889 +2025-07-01 18:08:19,783 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-01 18:08:57,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:08:57,472 - pyskl - INFO - +top1_acc 0.8456 +top5_acc 0.9864 +2025-07-01 18:08:57,477 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_8.pth was removed +2025-07-01 18:08:57,674 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-01 18:08:57,674 - pyskl - INFO - Best top1_acc is 0.8456 at 9 epoch. +2025-07-01 18:08:57,677 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8456, top5_acc: 0.9864 +2025-07-01 18:09:41,579 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:29:09, time: 0.439, data_time: 0.262, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9775, loss_cls: 0.9331, loss: 0.9331 +2025-07-01 18:09:59,052 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:28:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9788, loss_cls: 0.8372, loss: 0.8372 +2025-07-01 18:10:16,400 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:28:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8113, top5_acc: 0.9719, loss_cls: 0.8949, loss: 0.8949 +2025-07-01 18:10:33,559 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:27:23, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9731, loss_cls: 0.9688, loss: 0.9688 +2025-07-01 18:10:50,755 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:26:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8050, top5_acc: 0.9744, loss_cls: 0.9031, loss: 0.9031 +2025-07-01 18:11:08,188 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:26:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9825, loss_cls: 0.8400, loss: 0.8400 +2025-07-01 18:11:25,267 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:25:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9781, loss_cls: 0.8698, loss: 0.8698 +2025-07-01 18:11:42,468 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:25:02, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9831, loss_cls: 0.8542, loss: 0.8542 +2025-07-01 18:12:00,525 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-01 18:12:37,426 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:12:37,450 - pyskl - INFO - +top1_acc 0.8198 +top5_acc 0.9811 +2025-07-01 18:12:37,451 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8198, top5_acc: 0.9811 +2025-07-01 18:13:18,917 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:25:36, time: 0.415, data_time: 0.243, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9700, loss_cls: 0.9782, loss: 0.9782 +2025-07-01 18:13:36,142 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:25:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9756, loss_cls: 0.8801, loss: 0.8801 +2025-07-01 18:13:53,734 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:24:32, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9719, loss_cls: 0.9242, loss: 0.9242 +2025-07-01 18:14:10,742 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:23:55, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9800, loss_cls: 0.8286, loss: 0.8286 +2025-07-01 18:14:27,745 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:23:18, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9800, loss_cls: 0.8705, loss: 0.8705 +2025-07-01 18:14:44,966 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:22:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9775, loss_cls: 0.8891, loss: 0.8891 +2025-07-01 18:15:02,023 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:22:10, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9806, loss_cls: 0.8215, loss: 0.8215 +2025-07-01 18:15:19,284 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:21:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9762, loss_cls: 0.8562, loss: 0.8562 +2025-07-01 18:15:37,231 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-01 18:16:14,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:16:14,353 - pyskl - INFO - +top1_acc 0.8556 +top5_acc 0.9907 +2025-07-01 18:16:14,358 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_9.pth was removed +2025-07-01 18:16:14,572 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-01 18:16:14,572 - pyskl - INFO - Best top1_acc is 0.8556 at 11 epoch. +2025-07-01 18:16:14,574 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8556, top5_acc: 0.9907 +2025-07-01 18:16:56,678 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:22:14, time: 0.421, data_time: 0.244, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9794, loss_cls: 0.8854, loss: 0.8854 +2025-07-01 18:17:14,060 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:21:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9844, loss_cls: 0.7890, loss: 0.7890 +2025-07-01 18:17:31,541 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:21:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9812, loss_cls: 0.8598, loss: 0.8598 +2025-07-01 18:17:48,611 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:20:40, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9850, loss_cls: 0.8194, loss: 0.8194 +2025-07-01 18:18:05,914 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:20:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8131, top5_acc: 0.9725, loss_cls: 0.8932, loss: 0.8932 +2025-07-01 18:18:23,061 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:19:36, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9719, loss_cls: 0.8646, loss: 0.8646 +2025-07-01 18:18:40,170 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:19:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9812, loss_cls: 0.8669, loss: 0.8669 +2025-07-01 18:18:57,016 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:18:28, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9788, loss_cls: 0.8973, loss: 0.8973 +2025-07-01 18:19:14,643 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-01 18:19:50,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:19:50,982 - pyskl - INFO - +top1_acc 0.8976 +top5_acc 0.9921 +2025-07-01 18:19:50,990 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_11.pth was removed +2025-07-01 18:19:51,207 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-01 18:19:51,208 - pyskl - INFO - Best top1_acc is 0.8976 at 12 epoch. +2025-07-01 18:19:51,209 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8976, top5_acc: 0.9921 +2025-07-01 18:20:32,902 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:18:53, time: 0.417, data_time: 0.245, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9781, loss_cls: 0.8539, loss: 0.8539 +2025-07-01 18:20:50,163 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:18:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9800, loss_cls: 0.7775, loss: 0.7775 +2025-07-01 18:21:07,473 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:17:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9788, loss_cls: 0.8500, loss: 0.8500 +2025-07-01 18:21:24,594 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:17:21, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9781, loss_cls: 0.8308, loss: 0.8308 +2025-07-01 18:21:41,546 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:16:47, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9819, loss_cls: 0.8201, loss: 0.8201 +2025-07-01 18:21:58,740 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:16:17, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9762, loss_cls: 0.8445, loss: 0.8445 +2025-07-01 18:22:16,176 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:15:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 0.8661, loss: 0.8661 +2025-07-01 18:22:33,105 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:15:16, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9831, loss_cls: 0.7947, loss: 0.7947 +2025-07-01 18:22:50,535 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-01 18:23:27,080 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:23:27,108 - pyskl - INFO - +top1_acc 0.8838 +top5_acc 0.9917 +2025-07-01 18:23:27,109 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8838, top5_acc: 0.9917 +2025-07-01 18:24:08,093 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:15:30, time: 0.410, data_time: 0.237, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9762, loss_cls: 0.8432, loss: 0.8432 +2025-07-01 18:24:25,519 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:15:02, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9806, loss_cls: 0.7678, loss: 0.7678 +2025-07-01 18:24:42,642 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:14:32, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9794, loss_cls: 0.8416, loss: 0.8416 +2025-07-01 18:24:59,840 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:14:02, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9838, loss_cls: 0.7544, loss: 0.7544 +2025-07-01 18:25:17,005 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:13:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9712, loss_cls: 0.8866, loss: 0.8866 +2025-07-01 18:25:34,367 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:13:05, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 0.8003, loss: 0.8003 +2025-07-01 18:25:51,942 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:12:39, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 0.7953, loss: 0.7953 +2025-07-01 18:26:09,041 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:12:10, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 0.7549, loss: 0.7549 +2025-07-01 18:26:26,570 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-01 18:27:03,641 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:27:03,669 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9905 +2025-07-01 18:27:03,670 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8876, top5_acc: 0.9905 +2025-07-01 18:27:44,385 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:12:17, time: 0.407, data_time: 0.237, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9806, loss_cls: 0.8238, loss: 0.8238 +2025-07-01 18:28:01,728 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:11:50, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7229, loss: 0.7229 +2025-07-01 18:28:19,062 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:11:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9762, loss_cls: 0.7934, loss: 0.7934 +2025-07-01 18:28:36,257 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:10:54, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9862, loss_cls: 0.7633, loss: 0.7633 +2025-07-01 18:28:53,279 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:10:24, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9812, loss_cls: 0.8122, loss: 0.8122 +2025-07-01 18:29:10,000 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:09:51, time: 0.167, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9794, loss_cls: 0.8539, loss: 0.8539 +2025-07-01 18:29:27,105 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:09:22, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9806, loss_cls: 0.8008, loss: 0.8008 +2025-07-01 18:29:44,316 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:08:54, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9850, loss_cls: 0.7768, loss: 0.7768 +2025-07-01 18:30:01,835 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-01 18:30:38,485 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:30:38,508 - pyskl - INFO - +top1_acc 0.9073 +top5_acc 0.9929 +2025-07-01 18:30:38,512 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_12.pth was removed +2025-07-01 18:30:38,698 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-01 18:30:38,698 - pyskl - INFO - Best top1_acc is 0.9073 at 15 epoch. +2025-07-01 18:30:38,699 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.9073, top5_acc: 0.9929 +2025-07-01 18:31:20,999 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:09:13, time: 0.423, data_time: 0.246, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9831, loss_cls: 0.7662, loss: 0.7662 +2025-07-01 18:31:38,677 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:08:50, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9838, loss_cls: 0.7778, loss: 0.7778 +2025-07-01 18:31:56,191 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:08:25, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9819, loss_cls: 0.7490, loss: 0.7490 +2025-07-01 18:32:13,343 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:07:57, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 0.8075, loss: 0.8075 +2025-07-01 18:32:30,542 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:07:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9769, loss_cls: 0.7806, loss: 0.7806 +2025-07-01 18:32:47,805 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:07:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9788, loss_cls: 0.7863, loss: 0.7863 +2025-07-01 18:33:05,158 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:06:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9862, loss_cls: 0.7721, loss: 0.7721 +2025-07-01 18:33:22,052 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:06:07, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9862, loss_cls: 0.7112, loss: 0.7112 +2025-07-01 18:33:39,534 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-01 18:34:16,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:34:16,031 - pyskl - INFO - +top1_acc 0.8446 +top5_acc 0.9885 +2025-07-01 18:34:16,035 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8446, top5_acc: 0.9885 +2025-07-01 18:34:57,525 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:06:15, time: 0.415, data_time: 0.243, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9819, loss_cls: 0.7881, loss: 0.7881 +2025-07-01 18:35:14,853 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:05:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9819, loss_cls: 0.7392, loss: 0.7392 +2025-07-01 18:35:31,951 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:05:21, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 0.7609, loss: 0.7609 +2025-07-01 18:35:49,306 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:04:55, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 0.7382, loss: 0.7382 +2025-07-01 18:36:06,811 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:04:31, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9838, loss_cls: 0.7918, loss: 0.7918 +2025-07-01 18:36:23,894 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:04:03, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9844, loss_cls: 0.7019, loss: 0.7019 +2025-07-01 18:36:41,271 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:03:38, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9819, loss_cls: 0.7615, loss: 0.7615 +2025-07-01 18:36:58,716 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:03:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9838, loss_cls: 0.7786, loss: 0.7786 +2025-07-01 18:37:16,339 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-01 18:37:53,585 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:37:53,614 - pyskl - INFO - +top1_acc 0.8995 +top5_acc 0.9922 +2025-07-01 18:37:53,616 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8995, top5_acc: 0.9922 +2025-07-01 18:38:34,894 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:03:18, time: 0.413, data_time: 0.241, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9762, loss_cls: 0.7802, loss: 0.7802 +2025-07-01 18:38:52,008 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:02:51, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9844, loss_cls: 0.7370, loss: 0.7370 +2025-07-01 18:39:09,867 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:02:29, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9825, loss_cls: 0.7357, loss: 0.7357 +2025-07-01 18:39:27,375 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:02:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9881, loss_cls: 0.7253, loss: 0.7253 +2025-07-01 18:39:44,893 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:01:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 0.7012, loss: 0.7012 +2025-07-01 18:40:02,503 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:01:19, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9731, loss_cls: 0.8029, loss: 0.8029 +2025-07-01 18:40:19,828 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:00:54, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9806, loss_cls: 0.7646, loss: 0.7646 +2025-07-01 18:40:37,110 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:00:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 0.7087, loss: 0.7087 +2025-07-01 18:40:54,540 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-01 18:41:30,931 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:41:30,954 - pyskl - INFO - +top1_acc 0.8870 +top5_acc 0.9903 +2025-07-01 18:41:30,955 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8870, top5_acc: 0.9903 +2025-07-01 18:42:11,733 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:00:26, time: 0.408, data_time: 0.238, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 0.7497, loss: 0.7497 +2025-07-01 18:42:29,161 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:00:02, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9850, loss_cls: 0.7122, loss: 0.7122 +2025-07-01 18:42:46,313 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 5:59:36, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 0.6657, loss: 0.6657 +2025-07-01 18:43:03,692 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 5:59:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9775, loss_cls: 0.7094, loss: 0.7094 +2025-07-01 18:43:21,092 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 5:58:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9762, loss_cls: 0.7918, loss: 0.7918 +2025-07-01 18:43:38,178 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 5:58:21, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9788, loss_cls: 0.7583, loss: 0.7583 +2025-07-01 18:43:55,254 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:57:54, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 0.7695, loss: 0.7695 +2025-07-01 18:44:12,582 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:57:30, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9875, loss_cls: 0.6714, loss: 0.6714 +2025-07-01 18:44:29,856 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-01 18:45:06,241 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:45:06,269 - pyskl - INFO - +top1_acc 0.9034 +top5_acc 0.9933 +2025-07-01 18:45:06,271 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.9034, top5_acc: 0.9933 +2025-07-01 18:45:47,801 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:57:31, time: 0.415, data_time: 0.243, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 0.7565, loss: 0.7565 +2025-07-01 18:46:04,918 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:57:05, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9781, loss_cls: 0.6872, loss: 0.6872 +2025-07-01 18:46:22,475 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:56:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9812, loss_cls: 0.7715, loss: 0.7715 +2025-07-01 18:46:40,149 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:56:20, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9912, loss_cls: 0.6460, loss: 0.6460 +2025-07-01 18:46:57,542 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:55:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 0.7235, loss: 0.7235 +2025-07-01 18:47:14,958 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:55:33, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9812, loss_cls: 0.7477, loss: 0.7477 +2025-07-01 18:47:31,802 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:55:05, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9881, loss_cls: 0.7132, loss: 0.7132 +2025-07-01 18:47:49,068 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:54:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9825, loss_cls: 0.7071, loss: 0.7071 +2025-07-01 18:48:06,302 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-01 18:48:42,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:48:42,768 - pyskl - INFO - +top1_acc 0.9083 +top5_acc 0.9919 +2025-07-01 18:48:42,772 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_15.pth was removed +2025-07-01 18:48:42,955 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-01 18:48:42,956 - pyskl - INFO - Best top1_acc is 0.9083 at 20 epoch. +2025-07-01 18:48:42,958 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.9083, top5_acc: 0.9919 +2025-07-01 18:49:24,151 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:54:38, time: 0.412, data_time: 0.242, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9825, loss_cls: 0.7390, loss: 0.7390 +2025-07-01 18:49:41,426 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:54:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6791, loss: 0.6791 +2025-07-01 18:49:58,657 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:53:49, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 0.6911, loss: 0.6911 +2025-07-01 18:50:15,814 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:53:24, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 0.7016, loss: 0.7016 +2025-07-01 18:50:33,057 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:52:59, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7152, loss: 0.7152 +2025-07-01 18:50:50,009 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:52:33, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9781, loss_cls: 0.7162, loss: 0.7162 +2025-07-01 18:51:07,395 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:52:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6591, loss: 0.6591 +2025-07-01 18:51:24,450 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:51:44, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 0.7302, loss: 0.7302 +2025-07-01 18:51:41,907 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-01 18:52:18,154 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:52:18,182 - pyskl - INFO - +top1_acc 0.9263 +top5_acc 0.9944 +2025-07-01 18:52:18,186 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_20.pth was removed +2025-07-01 18:52:18,462 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-07-01 18:52:18,462 - pyskl - INFO - Best top1_acc is 0.9263 at 21 epoch. +2025-07-01 18:52:18,464 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.9263, top5_acc: 0.9944 +2025-07-01 18:53:00,110 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:51:43, time: 0.416, data_time: 0.248, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.7153, loss: 0.7153 +2025-07-01 18:53:17,544 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:51:20, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6415, loss: 0.6415 +2025-07-01 18:53:34,746 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:50:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6498, loss: 0.6498 +2025-07-01 18:53:51,865 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:50:30, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.6237, loss: 0.6237 +2025-07-01 18:54:09,249 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:50:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9850, loss_cls: 0.7347, loss: 0.7347 +2025-07-01 18:54:26,576 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:49:44, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9875, loss_cls: 0.7082, loss: 0.7082 +2025-07-01 18:54:43,746 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:49:19, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7201, loss: 0.7201 +2025-07-01 18:55:00,981 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:48:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 0.6431, loss: 0.6431 +2025-07-01 18:55:18,324 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-01 18:55:55,248 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:55:55,271 - pyskl - INFO - +top1_acc 0.9062 +top5_acc 0.9893 +2025-07-01 18:55:55,273 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.9062, top5_acc: 0.9893 +2025-07-01 18:56:37,251 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:48:54, time: 0.420, data_time: 0.247, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9838, loss_cls: 0.6932, loss: 0.6932 +2025-07-01 18:56:54,457 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:48:30, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9850, loss_cls: 0.6700, loss: 0.6700 +2025-07-01 18:57:11,604 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:48:05, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.7118, loss: 0.7118 +2025-07-01 18:57:29,052 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:47:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 0.6993, loss: 0.6993 +2025-07-01 18:57:46,146 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:47:18, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9800, loss_cls: 0.6486, loss: 0.6486 +2025-07-01 18:58:03,260 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:46:54, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6711, loss: 0.6711 +2025-07-01 18:58:20,404 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:46:30, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 0.6997, loss: 0.6997 +2025-07-01 18:58:37,520 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:46:05, time: 0.171, data_time: 0.001, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 0.6998, loss: 0.6998 +2025-07-01 18:58:55,482 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-01 18:59:31,907 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:59:31,930 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9905 +2025-07-01 18:59:31,931 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.8876, top5_acc: 0.9905 +2025-07-01 19:00:14,090 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:46:03, time: 0.422, data_time: 0.247, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9831, loss_cls: 0.6713, loss: 0.6713 +2025-07-01 19:00:31,489 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:45:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9906, loss_cls: 0.6230, loss: 0.6230 +2025-07-01 19:00:49,078 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:45:19, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 0.7129, loss: 0.7129 +2025-07-01 19:01:06,429 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:44:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9856, loss_cls: 0.6887, loss: 0.6887 +2025-07-01 19:01:24,059 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:44:34, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9838, loss_cls: 0.6215, loss: 0.6215 +2025-07-01 19:01:41,366 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:44:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9869, loss_cls: 0.6295, loss: 0.6295 +2025-07-01 19:01:58,743 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:43:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 0.6685, loss: 0.6685 +2025-07-01 19:02:16,051 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:43:26, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 0.6976, loss: 0.6976 +2025-07-01 19:02:33,983 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-01 19:03:10,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:03:10,705 - pyskl - INFO - +top1_acc 0.8567 +top5_acc 0.9826 +2025-07-01 19:03:10,706 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.8567, top5_acc: 0.9826 +2025-07-01 19:03:54,055 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:43:28, time: 0.433, data_time: 0.263, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9844, loss_cls: 0.6894, loss: 0.6894 +2025-07-01 19:04:11,319 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:43:05, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9856, loss_cls: 0.6978, loss: 0.6978 +2025-07-01 19:04:28,740 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:42:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 0.6398, loss: 0.6398 +2025-07-01 19:04:46,102 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:42:20, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 0.6185, loss: 0.6185 +2025-07-01 19:05:03,378 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:41:57, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.6710, loss: 0.6710 +2025-07-01 19:05:20,509 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:41:33, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.6393, loss: 0.6393 +2025-07-01 19:05:37,615 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:41:09, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9862, loss_cls: 0.6920, loss: 0.6920 +2025-07-01 19:05:54,894 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:40:46, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 0.6341, loss: 0.6341 +2025-07-01 19:06:12,227 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-01 19:06:49,224 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:06:49,247 - pyskl - INFO - +top1_acc 0.8983 +top5_acc 0.9859 +2025-07-01 19:06:49,249 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8983, top5_acc: 0.9859 +2025-07-01 19:07:31,387 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:40:41, time: 0.421, data_time: 0.250, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9850, loss_cls: 0.6670, loss: 0.6670 +2025-07-01 19:07:48,689 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:40:18, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 0.6406, loss: 0.6406 +2025-07-01 19:08:05,901 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:39:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 0.6965, loss: 0.6965 +2025-07-01 19:08:23,672 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:39:34, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 0.6495, loss: 0.6495 +2025-07-01 19:08:40,651 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:39:10, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 0.6342, loss: 0.6342 +2025-07-01 19:08:57,606 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:38:46, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 0.6716, loss: 0.6716 +2025-07-01 19:09:14,847 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:38:23, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9894, loss_cls: 0.5854, loss: 0.5854 +2025-07-01 19:09:32,058 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:38:00, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6281, loss: 0.6281 +2025-07-01 19:09:49,641 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-01 19:10:25,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:10:26,024 - pyskl - INFO - +top1_acc 0.9192 +top5_acc 0.9946 +2025-07-01 19:10:26,025 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.9192, top5_acc: 0.9946 +2025-07-01 19:11:07,526 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:37:50, time: 0.415, data_time: 0.245, memory: 2902, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5856, loss: 0.5856 +2025-07-01 19:11:24,808 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:37:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 0.5775, loss: 0.5775 +2025-07-01 19:11:41,995 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:37:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 0.7156, loss: 0.7156 +2025-07-01 19:11:59,663 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:36:43, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 0.6591, loss: 0.6591 +2025-07-01 19:12:17,022 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:36:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 0.6710, loss: 0.6710 +2025-07-01 19:12:33,986 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:35:57, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9881, loss_cls: 0.6200, loss: 0.6200 +2025-07-01 19:12:51,037 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:35:34, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 0.6803, loss: 0.6803 +2025-07-01 19:13:08,263 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:35:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9875, loss_cls: 0.6690, loss: 0.6690 +2025-07-01 19:13:26,100 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-01 19:14:03,737 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:14:03,762 - pyskl - INFO - +top1_acc 0.8638 +top5_acc 0.9898 +2025-07-01 19:14:03,764 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.8638, top5_acc: 0.9898 +2025-07-01 19:14:46,892 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:35:07, time: 0.431, data_time: 0.259, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9844, loss_cls: 0.5958, loss: 0.5958 +2025-07-01 19:15:04,356 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:34:46, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.5698, loss: 0.5698 +2025-07-01 19:15:21,896 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:34:24, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9838, loss_cls: 0.6181, loss: 0.6181 +2025-07-01 19:15:39,615 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:34:04, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9869, loss_cls: 0.6327, loss: 0.6327 +2025-07-01 19:15:57,316 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:33:43, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 0.6134, loss: 0.6134 +2025-07-01 19:16:14,811 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:33:22, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9881, loss_cls: 0.5821, loss: 0.5821 +2025-07-01 19:16:32,306 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:33:01, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9875, loss_cls: 0.6482, loss: 0.6482 +2025-07-01 19:16:49,782 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:32:39, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6375, loss: 0.6375 +2025-07-01 19:17:07,866 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-01 19:17:46,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:17:46,295 - pyskl - INFO - +top1_acc 0.8794 +top5_acc 0.9915 +2025-07-01 19:17:46,296 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8794, top5_acc: 0.9915 +2025-07-01 19:18:28,493 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:32:30, time: 0.422, data_time: 0.248, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 0.6058, loss: 0.6058 +2025-07-01 19:18:45,981 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:32:09, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9900, loss_cls: 0.5964, loss: 0.5964 +2025-07-01 19:19:03,456 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:31:47, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9838, loss_cls: 0.6295, loss: 0.6295 +2025-07-01 19:19:21,115 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:31:26, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.6043, loss: 0.6043 +2025-07-01 19:19:38,726 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:31:06, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9875, loss_cls: 0.6237, loss: 0.6237 +2025-07-01 19:19:56,265 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:30:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9850, loss_cls: 0.6629, loss: 0.6629 +2025-07-01 19:20:13,891 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:30:24, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9800, loss_cls: 0.6461, loss: 0.6461 +2025-07-01 19:20:31,517 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:30:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5783, loss: 0.5783 +2025-07-01 19:20:49,392 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-01 19:21:27,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:21:27,805 - pyskl - INFO - +top1_acc 0.8973 +top5_acc 0.9876 +2025-07-01 19:21:27,807 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.8973, top5_acc: 0.9876 +2025-07-01 19:22:11,318 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:29:58, time: 0.435, data_time: 0.255, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9875, loss_cls: 0.6125, loss: 0.6125 +2025-07-01 19:22:29,531 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:29:40, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 0.5825, loss: 0.5825 +2025-07-01 19:22:47,713 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:29:21, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9894, loss_cls: 0.5849, loss: 0.5849 +2025-07-01 19:23:05,950 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:29:03, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9888, loss_cls: 0.6625, loss: 0.6625 +2025-07-01 19:23:24,245 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:28:45, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9906, loss_cls: 0.6127, loss: 0.6127 +2025-07-01 19:23:42,158 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:28:25, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5702, loss: 0.5702 +2025-07-01 19:24:00,030 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:28:06, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5641, loss: 0.5641 +2025-07-01 19:24:17,976 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:27:46, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 0.6093, loss: 0.6093 +2025-07-01 19:24:36,043 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-01 19:25:14,891 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:25:14,914 - pyskl - INFO - +top1_acc 0.9135 +top5_acc 0.9943 +2025-07-01 19:25:14,915 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.9135, top5_acc: 0.9943 +2025-07-01 19:25:58,120 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:27:38, time: 0.432, data_time: 0.251, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9888, loss_cls: 0.6762, loss: 0.6762 +2025-07-01 19:26:15,973 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:27:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6693, loss: 0.6693 +2025-07-01 19:26:34,003 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:26:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9888, loss_cls: 0.6563, loss: 0.6563 +2025-07-01 19:26:51,783 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:26:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.6166, loss: 0.6166 +2025-07-01 19:27:09,828 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:26:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 0.6588, loss: 0.6588 +2025-07-01 19:27:27,455 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:26:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9838, loss_cls: 0.7018, loss: 0.7018 +2025-07-01 19:27:45,151 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:25:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5783, loss: 0.5783 +2025-07-01 19:28:02,870 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:25:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 0.6997, loss: 0.6997 +2025-07-01 19:28:21,301 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-01 19:28:57,904 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:28:57,929 - pyskl - INFO - +top1_acc 0.9165 +top5_acc 0.9930 +2025-07-01 19:28:57,931 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.9165, top5_acc: 0.9930 +2025-07-01 19:29:41,369 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:25:11, time: 0.434, data_time: 0.253, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 0.5960, loss: 0.5960 +2025-07-01 19:29:59,372 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:24:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 0.6114, loss: 0.6114 +2025-07-01 19:30:17,870 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:24:34, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.6396, loss: 0.6396 +2025-07-01 19:30:36,066 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:24:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.6110, loss: 0.6110 +2025-07-01 19:30:54,107 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:23:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9812, loss_cls: 0.6742, loss: 0.6742 +2025-07-01 19:31:11,855 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:23:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9856, loss_cls: 0.6360, loss: 0.6360 +2025-07-01 19:31:29,691 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:23:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6637, loss: 0.6637 +2025-07-01 19:31:47,384 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:22:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9900, loss_cls: 0.6437, loss: 0.6437 +2025-07-01 19:32:05,538 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-01 19:32:41,950 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:32:41,973 - pyskl - INFO - +top1_acc 0.9062 +top5_acc 0.9919 +2025-07-01 19:32:41,974 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.9062, top5_acc: 0.9919 +2025-07-01 19:33:23,375 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:22:39, time: 0.414, data_time: 0.235, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.6131, loss: 0.6131 +2025-07-01 19:33:41,026 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:22:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.6277, loss: 0.6277 +2025-07-01 19:33:58,843 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:21:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 0.6638, loss: 0.6638 +2025-07-01 19:34:17,188 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:21:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.6243, loss: 0.6243 +2025-07-01 19:34:34,731 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:21:19, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 0.6861, loss: 0.6861 +2025-07-01 19:34:52,496 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:20:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9925, loss_cls: 0.5825, loss: 0.5825 +2025-07-01 19:35:10,164 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:20:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9931, loss_cls: 0.5646, loss: 0.5646 +2025-07-01 19:35:28,172 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:20:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.6049, loss: 0.6049 +2025-07-01 19:35:46,701 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-01 19:36:23,321 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:36:23,354 - pyskl - INFO - +top1_acc 0.8908 +top5_acc 0.9928 +2025-07-01 19:36:23,356 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.8908, top5_acc: 0.9928 +2025-07-01 19:37:05,974 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:20:06, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 0.6287, loss: 0.6287 +2025-07-01 19:37:23,987 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:19:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9794, loss_cls: 0.6630, loss: 0.6630 +2025-07-01 19:37:41,587 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:19:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 0.6195, loss: 0.6195 +2025-07-01 19:37:59,443 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:19:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5962, loss: 0.5962 +2025-07-01 19:38:17,093 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:18:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9900, loss_cls: 0.6378, loss: 0.6378 +2025-07-01 19:38:35,006 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:18:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9906, loss_cls: 0.6230, loss: 0.6230 +2025-07-01 19:38:52,825 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:18:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9894, loss_cls: 0.5956, loss: 0.5956 +2025-07-01 19:39:10,772 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:17:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9850, loss_cls: 0.5851, loss: 0.5851 +2025-07-01 19:39:29,175 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-01 19:40:05,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:40:05,755 - pyskl - INFO - +top1_acc 0.9066 +top5_acc 0.9907 +2025-07-01 19:40:05,756 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9066, top5_acc: 0.9907 +2025-07-01 19:40:48,447 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:17:32, time: 0.427, data_time: 0.240, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5704, loss: 0.5704 +2025-07-01 19:41:05,935 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:17:11, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6411, loss: 0.6411 +2025-07-01 19:41:24,035 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:16:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9900, loss_cls: 0.6563, loss: 0.6563 +2025-07-01 19:41:42,222 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:16:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 0.5687, loss: 0.5687 +2025-07-01 19:42:00,025 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:16:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 0.6094, loss: 0.6094 +2025-07-01 19:42:18,132 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:15:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6745, loss: 0.6745 +2025-07-01 19:42:35,636 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:15:33, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9919, loss_cls: 0.5944, loss: 0.5944 +2025-07-01 19:42:53,468 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:15:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5626, loss: 0.5626 +2025-07-01 19:43:11,623 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-01 19:43:47,590 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:43:47,618 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9946 +2025-07-01 19:43:47,619 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9161, top5_acc: 0.9946 +2025-07-01 19:44:29,713 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:14:56, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9875, loss_cls: 0.5838, loss: 0.5838 +2025-07-01 19:44:47,625 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:14:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5583, loss: 0.5583 +2025-07-01 19:45:05,206 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:14:16, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5672, loss: 0.5672 +2025-07-01 19:45:23,254 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:13:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9900, loss_cls: 0.6138, loss: 0.6138 +2025-07-01 19:45:41,066 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:13:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 0.5680, loss: 0.5680 +2025-07-01 19:45:58,824 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:13:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6679, loss: 0.6679 +2025-07-01 19:46:16,394 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:12:56, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 0.6069, loss: 0.6069 +2025-07-01 19:46:34,221 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:12:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9912, loss_cls: 0.6198, loss: 0.6198 +2025-07-01 19:46:52,569 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-01 19:47:29,720 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:47:29,743 - pyskl - INFO - +top1_acc 0.9015 +top5_acc 0.9917 +2025-07-01 19:47:29,744 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9015, top5_acc: 0.9917 +2025-07-01 19:48:11,249 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:12:17, time: 0.415, data_time: 0.234, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 0.6126, loss: 0.6126 +2025-07-01 19:48:28,844 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:11:56, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9925, loss_cls: 0.5761, loss: 0.5761 +2025-07-01 19:48:46,661 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:11:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9856, loss_cls: 0.6014, loss: 0.6014 +2025-07-01 19:49:04,429 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:11:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 0.5399, loss: 0.5399 +2025-07-01 19:49:22,464 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:10:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 0.5172, loss: 0.5172 +2025-07-01 19:49:40,319 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:10:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.6196, loss: 0.6196 +2025-07-01 19:49:57,859 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:10:17, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9831, loss_cls: 0.6520, loss: 0.6520 +2025-07-01 19:50:15,680 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:09:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5570, loss: 0.5570 +2025-07-01 19:50:34,019 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-01 19:51:10,944 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:51:10,967 - pyskl - INFO - +top1_acc 0.9513 +top5_acc 0.9955 +2025-07-01 19:51:10,972 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_21.pth was removed +2025-07-01 19:51:11,164 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_37.pth. +2025-07-01 19:51:11,164 - pyskl - INFO - Best top1_acc is 0.9513 at 37 epoch. +2025-07-01 19:51:11,166 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9513, top5_acc: 0.9955 +2025-07-01 19:51:53,781 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:09:40, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5537, loss: 0.5537 +2025-07-01 19:52:11,280 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:09:19, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.5428, loss: 0.5428 +2025-07-01 19:52:28,896 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:08:59, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9925, loss_cls: 0.6128, loss: 0.6128 +2025-07-01 19:52:46,770 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:08:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9894, loss_cls: 0.5853, loss: 0.5853 +2025-07-01 19:53:04,272 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:08:18, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 0.6016, loss: 0.6016 +2025-07-01 19:53:21,970 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:07:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5204, loss: 0.5204 +2025-07-01 19:53:39,479 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:07:37, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9831, loss_cls: 0.6310, loss: 0.6310 +2025-07-01 19:53:57,043 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:07:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9850, loss_cls: 0.5704, loss: 0.5704 +2025-07-01 19:54:15,481 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-01 19:54:52,233 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:54:52,257 - pyskl - INFO - +top1_acc 0.9361 +top5_acc 0.9947 +2025-07-01 19:54:52,258 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9361, top5_acc: 0.9947 +2025-07-01 19:55:34,623 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:06:58, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9831, loss_cls: 0.5651, loss: 0.5651 +2025-07-01 19:55:52,604 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:06:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5311, loss: 0.5311 +2025-07-01 19:56:10,294 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:06:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5872, loss: 0.5872 +2025-07-01 19:56:28,164 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:05:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.5090, loss: 0.5090 +2025-07-01 19:56:45,963 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:05:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 0.5376, loss: 0.5376 +2025-07-01 19:57:03,837 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:05:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5796, loss: 0.5796 +2025-07-01 19:57:21,264 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:04:59, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5546, loss: 0.5546 +2025-07-01 19:57:38,940 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:04:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.5608, loss: 0.5608 +2025-07-01 19:57:57,199 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-01 19:58:34,031 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:58:34,085 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9943 +2025-07-01 19:58:34,087 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9427, top5_acc: 0.9943 +2025-07-01 19:59:16,529 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:04:20, time: 0.424, data_time: 0.244, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5381, loss: 0.5381 +2025-07-01 19:59:34,689 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:04:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 0.5255, loss: 0.5255 +2025-07-01 19:59:52,560 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:03:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9919, loss_cls: 0.5580, loss: 0.5580 +2025-07-01 20:00:10,171 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:03:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5350, loss: 0.5350 +2025-07-01 20:00:28,318 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:03:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5793, loss: 0.5793 +2025-07-01 20:00:46,002 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:02:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 0.5720, loss: 0.5720 +2025-07-01 20:01:03,864 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:02:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9906, loss_cls: 0.5564, loss: 0.5564 +2025-07-01 20:01:21,765 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:02:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9856, loss_cls: 0.6391, loss: 0.6391 +2025-07-01 20:01:40,427 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-01 20:02:17,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:02:17,667 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9946 +2025-07-01 20:02:17,669 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9382, top5_acc: 0.9946 +2025-07-01 20:02:59,256 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:01:41, time: 0.416, data_time: 0.239, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.5361, loss: 0.5361 +2025-07-01 20:03:17,269 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:01:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5544, loss: 0.5544 +2025-07-01 20:03:35,150 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:01:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.6081, loss: 0.6081 +2025-07-01 20:03:52,900 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:00:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 0.5511, loss: 0.5511 +2025-07-01 20:04:10,842 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:00:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 0.5337, loss: 0.5337 +2025-07-01 20:04:28,648 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:00:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 0.5663, loss: 0.5663 +2025-07-01 20:04:46,345 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 4:59:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5434, loss: 0.5434 +2025-07-01 20:05:04,218 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 4:59:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9912, loss_cls: 0.6295, loss: 0.6295 +2025-07-01 20:05:22,380 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-01 20:05:58,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:05:59,014 - pyskl - INFO - +top1_acc 0.9288 +top5_acc 0.9932 +2025-07-01 20:05:59,015 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9288, top5_acc: 0.9932 +2025-07-01 20:06:41,264 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 4:59:03, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9869, loss_cls: 0.5754, loss: 0.5754 +2025-07-01 20:06:59,263 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 4:58:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5472, loss: 0.5472 +2025-07-01 20:07:17,477 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 4:58:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.5794, loss: 0.5794 +2025-07-01 20:07:35,458 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:58:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4773, loss: 0.4773 +2025-07-01 20:07:53,077 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:57:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 0.5631, loss: 0.5631 +2025-07-01 20:08:11,056 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:57:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9919, loss_cls: 0.6022, loss: 0.6022 +2025-07-01 20:08:28,841 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:57:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.5037, loss: 0.5037 +2025-07-01 20:08:46,781 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:56:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.6206, loss: 0.6206 +2025-07-01 20:09:05,150 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-01 20:09:41,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:09:41,529 - pyskl - INFO - +top1_acc 0.9318 +top5_acc 0.9951 +2025-07-01 20:09:41,530 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9318, top5_acc: 0.9951 +2025-07-01 20:10:24,658 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:56:28, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5309, loss: 0.5309 +2025-07-01 20:10:42,401 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:56:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 0.5960, loss: 0.5960 +2025-07-01 20:10:59,945 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:55:47, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5428, loss: 0.5428 +2025-07-01 20:11:17,768 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:55:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9888, loss_cls: 0.5548, loss: 0.5548 +2025-07-01 20:11:35,350 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:55:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5650, loss: 0.5650 +2025-07-01 20:11:53,086 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:54:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5233, loss: 0.5233 +2025-07-01 20:12:11,147 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:54:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5502, loss: 0.5502 +2025-07-01 20:12:29,030 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:54:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5274, loss: 0.5274 +2025-07-01 20:12:47,459 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-01 20:13:24,518 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:13:24,542 - pyskl - INFO - +top1_acc 0.9356 +top5_acc 0.9933 +2025-07-01 20:13:24,544 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9356, top5_acc: 0.9933 +2025-07-01 20:14:07,122 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:53:48, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4827, loss: 0.4827 +2025-07-01 20:14:25,112 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:53:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9944, loss_cls: 0.4886, loss: 0.4886 +2025-07-01 20:14:42,919 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:53:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9931, loss_cls: 0.5244, loss: 0.5244 +2025-07-01 20:15:00,409 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:52:49, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4901, loss: 0.4901 +2025-07-01 20:15:18,148 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:52:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.5560, loss: 0.5560 +2025-07-01 20:15:36,093 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:52:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5515, loss: 0.5515 +2025-07-01 20:15:53,863 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:51:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 0.5704, loss: 0.5704 +2025-07-01 20:16:11,803 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:51:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9875, loss_cls: 0.5160, loss: 0.5160 +2025-07-01 20:16:29,876 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-01 20:17:07,546 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:17:07,575 - pyskl - INFO - +top1_acc 0.9180 +top5_acc 0.9940 +2025-07-01 20:17:07,578 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9180, top5_acc: 0.9940 +2025-07-01 20:17:50,487 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:51:10, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5135, loss: 0.5135 +2025-07-01 20:18:08,119 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:50:49, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9925, loss_cls: 0.5182, loss: 0.5182 +2025-07-01 20:18:26,108 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:50:30, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5385, loss: 0.5385 +2025-07-01 20:18:43,986 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:50:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5308, loss: 0.5308 +2025-07-01 20:19:01,923 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:49:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4917, loss: 0.4917 +2025-07-01 20:19:19,792 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:49:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5350, loss: 0.5350 +2025-07-01 20:19:37,644 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:49:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5361, loss: 0.5361 +2025-07-01 20:19:55,250 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:48:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5453, loss: 0.5453 +2025-07-01 20:20:13,335 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-01 20:20:49,887 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:20:49,912 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9944 +2025-07-01 20:20:49,914 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9324, top5_acc: 0.9944 +2025-07-01 20:21:31,832 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:48:28, time: 0.419, data_time: 0.237, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.5294, loss: 0.5294 +2025-07-01 20:21:50,008 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:48:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4865, loss: 0.4865 +2025-07-01 20:22:08,261 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:47:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.5814, loss: 0.5814 +2025-07-01 20:22:26,035 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:47:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.4894, loss: 0.4894 +2025-07-01 20:22:43,869 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:47:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5283, loss: 0.5283 +2025-07-01 20:23:01,696 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:46:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4887, loss: 0.4887 +2025-07-01 20:23:19,259 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:46:32, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.5026, loss: 0.5026 +2025-07-01 20:23:36,876 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:46:12, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5332, loss: 0.5332 +2025-07-01 20:23:54,951 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-01 20:24:32,275 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:24:32,298 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9949 +2025-07-01 20:24:32,300 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9420, top5_acc: 0.9949 +2025-07-01 20:25:13,607 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:45:46, time: 0.413, data_time: 0.232, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4522, loss: 0.4522 +2025-07-01 20:25:31,680 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:45:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4943, loss: 0.4943 +2025-07-01 20:25:49,702 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:45:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4937, loss: 0.4937 +2025-07-01 20:26:07,463 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:44:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9962, loss_cls: 0.5097, loss: 0.5097 +2025-07-01 20:26:25,456 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:44:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.5079, loss: 0.5079 +2025-07-01 20:26:43,384 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:44:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5231, loss: 0.5231 +2025-07-01 20:27:01,422 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:43:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9906, loss_cls: 0.4686, loss: 0.4686 +2025-07-01 20:27:19,371 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:43:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 0.5352, loss: 0.5352 +2025-07-01 20:27:37,644 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-01 20:28:14,408 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:28:14,432 - pyskl - INFO - +top1_acc 0.9399 +top5_acc 0.9939 +2025-07-01 20:28:14,433 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9399, top5_acc: 0.9939 +2025-07-01 20:28:56,411 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:43:07, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 0.5465, loss: 0.5465 +2025-07-01 20:29:14,285 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:42:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 0.4871, loss: 0.4871 +2025-07-01 20:29:32,095 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:42:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5334, loss: 0.5334 +2025-07-01 20:29:50,322 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:42:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.4894, loss: 0.4894 +2025-07-01 20:30:08,332 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:41:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4832, loss: 0.4832 +2025-07-01 20:30:25,932 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:41:30, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5083, loss: 0.5083 +2025-07-01 20:30:43,722 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:41:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4670, loss: 0.4670 +2025-07-01 20:31:01,214 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:40:50, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 0.5550, loss: 0.5550 +2025-07-01 20:31:19,265 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-01 20:31:55,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:31:55,817 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9951 +2025-07-01 20:31:55,819 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9453, top5_acc: 0.9951 +2025-07-01 20:32:37,643 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:40:25, time: 0.418, data_time: 0.237, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5281, loss: 0.5281 +2025-07-01 20:32:55,845 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:40:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4058, loss: 0.4058 +2025-07-01 20:33:13,721 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:39:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 0.5209, loss: 0.5209 +2025-07-01 20:33:31,617 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:39:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9956, loss_cls: 0.5174, loss: 0.5174 +2025-07-01 20:33:49,607 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:39:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9869, loss_cls: 0.6136, loss: 0.6136 +2025-07-01 20:34:07,301 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:38:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5518, loss: 0.5518 +2025-07-01 20:34:25,138 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:38:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9931, loss_cls: 0.4961, loss: 0.4961 +2025-07-01 20:34:42,757 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:38:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5642, loss: 0.5642 +2025-07-01 20:35:00,965 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-01 20:35:37,484 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:35:37,507 - pyskl - INFO - +top1_acc 0.9399 +top5_acc 0.9958 +2025-07-01 20:35:37,508 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9399, top5_acc: 0.9958 +2025-07-01 20:36:19,960 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:37:45, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9969, loss_cls: 0.4436, loss: 0.4436 +2025-07-01 20:36:38,112 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:37:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9962, loss_cls: 0.4282, loss: 0.4282 +2025-07-01 20:36:56,016 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:37:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 0.4633, loss: 0.4633 +2025-07-01 20:37:13,621 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:36:47, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4962, loss: 0.4962 +2025-07-01 20:37:31,149 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:36:27, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4987, loss: 0.4987 +2025-07-01 20:37:48,519 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:36:06, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.4838, loss: 0.4838 +2025-07-01 20:38:06,401 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:35:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5295, loss: 0.5295 +2025-07-01 20:38:24,097 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:35:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5502, loss: 0.5502 +2025-07-01 20:38:41,930 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-01 20:39:18,242 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:39:18,265 - pyskl - INFO - +top1_acc 0.9350 +top5_acc 0.9960 +2025-07-01 20:39:18,266 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9350, top5_acc: 0.9960 +2025-07-01 20:40:00,464 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:35:02, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4674, loss: 0.4674 +2025-07-01 20:40:18,177 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:34:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9894, loss_cls: 0.5156, loss: 0.5156 +2025-07-01 20:40:36,044 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:34:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 0.4820, loss: 0.4820 +2025-07-01 20:40:54,180 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:34:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.4991, loss: 0.4991 +2025-07-01 20:41:11,799 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:33:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 0.4964, loss: 0.4964 +2025-07-01 20:41:29,784 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:33:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 0.4850, loss: 0.4850 +2025-07-01 20:41:47,505 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:33:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9925, loss_cls: 0.4756, loss: 0.4756 +2025-07-01 20:42:05,740 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:32:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.4780, loss: 0.4780 +2025-07-01 20:42:23,560 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-01 20:43:00,381 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:43:00,410 - pyskl - INFO - +top1_acc 0.9354 +top5_acc 0.9942 +2025-07-01 20:43:00,412 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9354, top5_acc: 0.9942 +2025-07-01 20:43:42,490 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:32:21, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4842, loss: 0.4842 +2025-07-01 20:44:00,589 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:32:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9875, loss_cls: 0.4614, loss: 0.4614 +2025-07-01 20:44:18,511 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:31:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5077, loss: 0.5077 +2025-07-01 20:44:36,298 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:31:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4355, loss: 0.4355 +2025-07-01 20:44:54,295 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:31:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4860, loss: 0.4860 +2025-07-01 20:45:11,885 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:30:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9875, loss_cls: 0.5075, loss: 0.5075 +2025-07-01 20:45:29,877 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:30:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4608, loss: 0.4608 +2025-07-01 20:45:47,982 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:30:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5251, loss: 0.5251 +2025-07-01 20:46:05,994 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-01 20:46:42,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:46:42,603 - pyskl - INFO - +top1_acc 0.9381 +top5_acc 0.9957 +2025-07-01 20:46:42,605 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9381, top5_acc: 0.9957 +2025-07-01 20:47:24,075 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:29:39, time: 0.415, data_time: 0.233, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.5404, loss: 0.5404 +2025-07-01 20:47:41,772 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:29:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 0.5115, loss: 0.5115 +2025-07-01 20:47:59,825 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:29:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5492, loss: 0.5492 +2025-07-01 20:48:17,869 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:28:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 0.4294, loss: 0.4294 +2025-07-01 20:48:35,877 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:28:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4968, loss: 0.4968 +2025-07-01 20:48:53,566 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:28:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9881, loss_cls: 0.4901, loss: 0.4901 +2025-07-01 20:49:11,313 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:27:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5330, loss: 0.5330 +2025-07-01 20:49:29,103 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:27:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.3872, loss: 0.3872 +2025-07-01 20:49:47,282 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-01 20:50:23,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:50:23,754 - pyskl - INFO - +top1_acc 0.9400 +top5_acc 0.9957 +2025-07-01 20:50:23,756 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9400, top5_acc: 0.9957 +2025-07-01 20:51:06,497 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:26:58, time: 0.427, data_time: 0.247, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4615, loss: 0.4615 +2025-07-01 20:51:24,242 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:26:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.4179, loss: 0.4179 +2025-07-01 20:51:41,947 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:26:19, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9956, loss_cls: 0.4838, loss: 0.4838 +2025-07-01 20:51:59,796 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:26:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4182, loss: 0.4182 +2025-07-01 20:52:17,866 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:25:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4764, loss: 0.4764 +2025-07-01 20:52:36,023 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:25:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9950, loss_cls: 0.4819, loss: 0.4819 +2025-07-01 20:52:53,772 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:25:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4806, loss: 0.4806 +2025-07-01 20:53:11,741 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:24:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4964, loss: 0.4964 +2025-07-01 20:53:29,820 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-01 20:54:06,058 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:54:06,082 - pyskl - INFO - +top1_acc 0.9200 +top5_acc 0.9949 +2025-07-01 20:54:06,083 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9200, top5_acc: 0.9949 +2025-07-01 20:54:48,386 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:24:17, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4647, loss: 0.4647 +2025-07-01 20:55:06,467 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:23:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4577, loss: 0.4577 +2025-07-01 20:55:24,153 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:23:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.4230, loss: 0.4230 +2025-07-01 20:55:42,192 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:23:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4346, loss: 0.4346 +2025-07-01 20:56:00,132 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:23:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 0.4292, loss: 0.4292 +2025-07-01 20:56:18,079 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:22:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4628, loss: 0.4628 +2025-07-01 20:56:35,863 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:22:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4900, loss: 0.4900 +2025-07-01 20:56:53,662 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:22:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.5090, loss: 0.5090 +2025-07-01 20:57:11,806 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-01 20:57:48,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:57:48,861 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9964 +2025-07-01 20:57:48,863 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9449, top5_acc: 0.9964 +2025-07-01 20:58:30,970 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:21:35, time: 0.421, data_time: 0.241, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9894, loss_cls: 0.4580, loss: 0.4580 +2025-07-01 20:58:48,824 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:21:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4090, loss: 0.4090 +2025-07-01 20:59:06,609 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:20:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9944, loss_cls: 0.4783, loss: 0.4783 +2025-07-01 20:59:24,625 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:20:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4691, loss: 0.4691 +2025-07-01 20:59:42,878 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:20:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4672, loss: 0.4672 +2025-07-01 21:00:00,440 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:19:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9894, loss_cls: 0.5222, loss: 0.5222 +2025-07-01 21:00:18,306 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:19:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4403, loss: 0.4403 +2025-07-01 21:00:35,935 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:19:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4663, loss: 0.4663 +2025-07-01 21:00:53,692 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-01 21:01:30,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:01:30,369 - pyskl - INFO - +top1_acc 0.9356 +top5_acc 0.9962 +2025-07-01 21:01:30,371 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9356, top5_acc: 0.9962 +2025-07-01 21:02:12,534 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:18:52, time: 0.422, data_time: 0.242, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4681, loss: 0.4681 +2025-07-01 21:02:30,481 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:18:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4609, loss: 0.4609 +2025-07-01 21:02:48,778 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:18:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.4120, loss: 0.4120 +2025-07-01 21:03:06,717 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:17:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9938, loss_cls: 0.4593, loss: 0.4593 +2025-07-01 21:03:24,670 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:17:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4706, loss: 0.4706 +2025-07-01 21:03:42,334 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:17:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9875, loss_cls: 0.4716, loss: 0.4716 +2025-07-01 21:03:59,954 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:16:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9925, loss_cls: 0.4147, loss: 0.4147 +2025-07-01 21:04:17,548 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:16:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4151, loss: 0.4151 +2025-07-01 21:04:35,805 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-01 21:05:12,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:05:12,765 - pyskl - INFO - +top1_acc 0.9494 +top5_acc 0.9957 +2025-07-01 21:05:12,767 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9494, top5_acc: 0.9957 +2025-07-01 21:05:56,672 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:16:13, time: 0.439, data_time: 0.255, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9925, loss_cls: 0.4758, loss: 0.4758 +2025-07-01 21:06:14,643 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:15:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.3997, loss: 0.3997 +2025-07-01 21:06:32,639 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:15:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.4338, loss: 0.4338 +2025-07-01 21:06:50,584 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:15:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4511, loss: 0.4511 +2025-07-01 21:07:08,588 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:14:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3902, loss: 0.3902 +2025-07-01 21:07:26,709 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:14:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4576, loss: 0.4576 +2025-07-01 21:07:44,267 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:14:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.4785, loss: 0.4785 +2025-07-01 21:08:02,016 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:13:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4478, loss: 0.4478 +2025-07-01 21:08:19,955 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-01 21:08:57,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:08:57,119 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9944 +2025-07-01 21:08:57,120 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9428, top5_acc: 0.9944 +2025-07-01 21:09:39,167 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:13:30, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.4142, loss: 0.4142 +2025-07-01 21:09:57,144 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:13:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3848, loss: 0.3848 +2025-07-01 21:10:14,874 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:12:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4034, loss: 0.4034 +2025-07-01 21:10:32,686 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:12:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4824, loss: 0.4824 +2025-07-01 21:10:50,554 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:12:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4719, loss: 0.4719 +2025-07-01 21:11:08,563 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:11:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9900, loss_cls: 0.4335, loss: 0.4335 +2025-07-01 21:11:26,396 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:11:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9962, loss_cls: 0.4211, loss: 0.4211 +2025-07-01 21:11:44,425 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:11:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4534, loss: 0.4534 +2025-07-01 21:12:02,681 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-01 21:12:39,096 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:12:39,124 - pyskl - INFO - +top1_acc 0.9292 +top5_acc 0.9949 +2025-07-01 21:12:39,125 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9292, top5_acc: 0.9949 +2025-07-01 21:13:22,189 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:10:49, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9925, loss_cls: 0.4106, loss: 0.4106 +2025-07-01 21:13:39,777 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:10:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4335, loss: 0.4335 +2025-07-01 21:13:57,776 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:10:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.4004, loss: 0.4004 +2025-07-01 21:14:15,430 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:09:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.4011, loss: 0.4011 +2025-07-01 21:14:33,181 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:09:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4540, loss: 0.4540 +2025-07-01 21:14:51,260 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:09:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9950, loss_cls: 0.5120, loss: 0.5120 +2025-07-01 21:15:09,110 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:08:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.4530, loss: 0.4530 +2025-07-01 21:15:27,349 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:08:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9912, loss_cls: 0.4464, loss: 0.4464 +2025-07-01 21:15:45,755 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-01 21:16:22,446 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:16:22,475 - pyskl - INFO - +top1_acc 0.9150 +top5_acc 0.9943 +2025-07-01 21:16:22,476 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9150, top5_acc: 0.9943 +2025-07-01 21:17:05,696 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:08:07, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4590, loss: 0.4590 +2025-07-01 21:17:23,920 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:07:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4110, loss: 0.4110 +2025-07-01 21:17:41,917 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:07:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4399, loss: 0.4399 +2025-07-01 21:18:00,159 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:07:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4281, loss: 0.4281 +2025-07-01 21:18:17,955 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:06:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4170, loss: 0.4170 +2025-07-01 21:18:35,866 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:06:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4409, loss: 0.4409 +2025-07-01 21:18:53,522 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:06:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4690, loss: 0.4690 +2025-07-01 21:19:11,478 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:05:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.4197, loss: 0.4197 +2025-07-01 21:19:29,888 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-01 21:20:06,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:20:06,700 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9960 +2025-07-01 21:20:06,701 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9297, top5_acc: 0.9960 +2025-07-01 21:20:49,315 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:05:26, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.4025, loss: 0.4025 +2025-07-01 21:21:06,999 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:05:06, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 0.4647, loss: 0.4647 +2025-07-01 21:21:24,878 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:04:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4528, loss: 0.4528 +2025-07-01 21:21:42,531 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:04:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.4032, loss: 0.4032 +2025-07-01 21:22:00,338 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:04:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4210, loss: 0.4210 +2025-07-01 21:22:18,227 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:03:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.4067, loss: 0.4067 +2025-07-01 21:22:35,974 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:03:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9888, loss_cls: 0.4113, loss: 0.4113 +2025-07-01 21:22:53,564 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:03:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4600, loss: 0.4600 +2025-07-01 21:23:11,659 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-01 21:23:48,347 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:23:48,376 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9951 +2025-07-01 21:23:48,377 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9349, top5_acc: 0.9951 +2025-07-01 21:24:31,187 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:02:42, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4150, loss: 0.4150 +2025-07-01 21:24:49,152 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:02:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4213, loss: 0.4213 +2025-07-01 21:25:07,234 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:02:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3944, loss: 0.3944 +2025-07-01 21:25:25,128 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:01:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9944, loss_cls: 0.4201, loss: 0.4201 +2025-07-01 21:25:42,873 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:01:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4059, loss: 0.4059 +2025-07-01 21:26:00,850 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:01:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.4731, loss: 0.4731 +2025-07-01 21:26:18,689 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:00:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 0.4612, loss: 0.4612 +2025-07-01 21:26:36,413 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:00:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 0.4183, loss: 0.4183 +2025-07-01 21:26:54,536 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-01 21:27:31,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:27:31,157 - pyskl - INFO - +top1_acc 0.9431 +top5_acc 0.9953 +2025-07-01 21:27:31,158 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9431, top5_acc: 0.9953 +2025-07-01 21:28:13,942 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:00:00, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.4276, loss: 0.4276 +2025-07-01 21:28:32,207 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 3:59:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9962, loss_cls: 0.4140, loss: 0.4140 +2025-07-01 21:28:49,971 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 3:59:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9900, loss_cls: 0.3722, loss: 0.3722 +2025-07-01 21:29:07,834 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 3:59:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4033, loss: 0.4033 +2025-07-01 21:29:25,657 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 3:58:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.4033, loss: 0.4033 +2025-07-01 21:29:43,810 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 3:58:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3763, loss: 0.3763 +2025-07-01 21:30:01,821 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:58:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3844, loss: 0.3844 +2025-07-01 21:30:19,305 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:57:45, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.4148, loss: 0.4148 +2025-07-01 21:30:37,592 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-01 21:31:14,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:31:14,862 - pyskl - INFO - +top1_acc 0.9215 +top5_acc 0.9925 +2025-07-01 21:31:14,863 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9215, top5_acc: 0.9925 +2025-07-01 21:31:57,751 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:57:17, time: 0.429, data_time: 0.250, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4287, loss: 0.4287 +2025-07-01 21:32:15,666 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:56:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3693, loss: 0.3693 +2025-07-01 21:32:33,505 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:56:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.4162, loss: 0.4162 +2025-07-01 21:32:51,455 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:56:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3943, loss: 0.3943 +2025-07-01 21:33:09,386 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:56:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3875, loss: 0.3875 +2025-07-01 21:33:27,135 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:55:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4336, loss: 0.4336 +2025-07-01 21:33:45,211 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:55:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4253, loss: 0.4253 +2025-07-01 21:34:03,014 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:55:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4383, loss: 0.4383 +2025-07-01 21:34:21,334 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-01 21:34:57,986 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:34:58,008 - pyskl - INFO - +top1_acc 0.9484 +top5_acc 0.9957 +2025-07-01 21:34:58,009 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9484, top5_acc: 0.9957 +2025-07-01 21:35:40,392 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:54:34, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4674, loss: 0.4674 +2025-07-01 21:35:58,051 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:54:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3941, loss: 0.3941 +2025-07-01 21:36:15,767 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:53:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3848, loss: 0.3848 +2025-07-01 21:36:33,652 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:53:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3702, loss: 0.3702 +2025-07-01 21:36:51,628 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:53:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3772, loss: 0.3772 +2025-07-01 21:37:09,308 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:52:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3634, loss: 0.3634 +2025-07-01 21:37:27,314 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:52:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4414, loss: 0.4414 +2025-07-01 21:37:44,655 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:52:18, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3824, loss: 0.3824 +2025-07-01 21:38:03,082 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-01 21:38:39,645 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:38:39,675 - pyskl - INFO - +top1_acc 0.9505 +top5_acc 0.9953 +2025-07-01 21:38:39,676 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9505, top5_acc: 0.9953 +2025-07-01 21:39:22,080 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:51:49, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.4039, loss: 0.4039 +2025-07-01 21:39:39,825 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:51:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9981, loss_cls: 0.4394, loss: 0.4394 +2025-07-01 21:39:57,645 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:51:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.4266, loss: 0.4266 +2025-07-01 21:40:15,824 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:50:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4110, loss: 0.4110 +2025-07-01 21:40:33,583 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:50:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3844, loss: 0.3844 +2025-07-01 21:40:51,282 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:50:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3492, loss: 0.3492 +2025-07-01 21:41:09,291 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:49:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 0.4166, loss: 0.4166 +2025-07-01 21:41:27,177 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:49:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.3887, loss: 0.3887 +2025-07-01 21:41:45,414 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-01 21:42:22,226 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:42:22,254 - pyskl - INFO - +top1_acc 0.9410 +top5_acc 0.9960 +2025-07-01 21:42:22,256 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9410, top5_acc: 0.9960 +2025-07-01 21:43:04,239 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:49:05, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9975, loss_cls: 0.3973, loss: 0.3973 +2025-07-01 21:43:22,256 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:48:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3543, loss: 0.3543 +2025-07-01 21:43:39,816 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:48:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3525, loss: 0.3525 +2025-07-01 21:43:57,296 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:48:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.3896, loss: 0.3896 +2025-07-01 21:44:15,084 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:47:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3989, loss: 0.3989 +2025-07-01 21:44:32,855 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:47:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3675, loss: 0.3675 +2025-07-01 21:44:50,511 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:47:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4128, loss: 0.4128 +2025-07-01 21:45:08,420 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:46:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9912, loss_cls: 0.3860, loss: 0.3860 +2025-07-01 21:45:26,507 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-01 21:46:03,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:46:03,079 - pyskl - INFO - +top1_acc 0.9542 +top5_acc 0.9954 +2025-07-01 21:46:03,084 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_37.pth was removed +2025-07-01 21:46:03,316 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_68.pth. +2025-07-01 21:46:03,317 - pyskl - INFO - Best top1_acc is 0.9542 at 68 epoch. +2025-07-01 21:46:03,319 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9542, top5_acc: 0.9954 +2025-07-01 21:46:45,506 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:46:20, time: 0.422, data_time: 0.242, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9925, loss_cls: 0.4822, loss: 0.4822 +2025-07-01 21:47:03,677 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:46:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3871, loss: 0.3871 +2025-07-01 21:47:21,597 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:45:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 0.3781, loss: 0.3781 +2025-07-01 21:47:39,316 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:45:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9981, loss_cls: 0.3823, loss: 0.3823 +2025-07-01 21:47:57,045 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:45:03, time: 0.177, data_time: 0.001, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3903, loss: 0.3903 +2025-07-01 21:48:14,760 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:44:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.3909, loss: 0.3909 +2025-07-01 21:48:32,653 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:44:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3857, loss: 0.3857 +2025-07-01 21:48:50,329 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:44:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9931, loss_cls: 0.3943, loss: 0.3943 +2025-07-01 21:49:08,413 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-01 21:49:44,650 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:49:44,673 - pyskl - INFO - +top1_acc 0.9441 +top5_acc 0.9946 +2025-07-01 21:49:44,674 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9441, top5_acc: 0.9946 +2025-07-01 21:50:26,537 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:43:35, time: 0.419, data_time: 0.235, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.3438, loss: 0.3438 +2025-07-01 21:50:44,398 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:43:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3653, loss: 0.3653 +2025-07-01 21:51:02,481 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:42:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.3795, loss: 0.3795 +2025-07-01 21:51:20,484 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:42:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.3764, loss: 0.3764 +2025-07-01 21:51:38,575 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:42:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4019, loss: 0.4019 +2025-07-01 21:51:56,280 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:41:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3268, loss: 0.3268 +2025-07-01 21:52:14,378 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:41:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3391, loss: 0.3391 +2025-07-01 21:52:32,434 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:41:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4249, loss: 0.4249 +2025-07-01 21:52:50,342 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-01 21:53:27,880 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:53:27,904 - pyskl - INFO - +top1_acc 0.9466 +top5_acc 0.9946 +2025-07-01 21:53:27,906 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9466, top5_acc: 0.9946 +2025-07-01 21:54:10,564 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:40:52, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3511, loss: 0.3511 +2025-07-01 21:54:28,670 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:40:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3719, loss: 0.3719 +2025-07-01 21:54:46,284 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:40:14, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3633, loss: 0.3633 +2025-07-01 21:55:04,174 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:39:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3702, loss: 0.3702 +2025-07-01 21:55:22,217 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:39:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3469, loss: 0.3469 +2025-07-01 21:55:40,230 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:39:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9975, loss_cls: 0.3441, loss: 0.3441 +2025-07-01 21:55:57,805 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:38:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3846, loss: 0.3846 +2025-07-01 21:56:15,524 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:38:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3662, loss: 0.3662 +2025-07-01 21:56:33,517 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-01 21:57:10,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:57:10,110 - pyskl - INFO - +top1_acc 0.9450 +top5_acc 0.9953 +2025-07-01 21:57:10,112 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9450, top5_acc: 0.9953 +2025-07-01 21:57:52,116 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:38:07, time: 0.420, data_time: 0.243, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3283, loss: 0.3283 +2025-07-01 21:58:10,483 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:37:49, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.3188, loss: 0.3188 +2025-07-01 21:58:28,157 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:37:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3697, loss: 0.3697 +2025-07-01 21:58:46,352 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:37:11, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9975, loss_cls: 0.3703, loss: 0.3703 +2025-07-01 21:59:04,132 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:36:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3450, loss: 0.3450 +2025-07-01 21:59:21,872 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:36:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3454, loss: 0.3454 +2025-07-01 21:59:39,502 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:36:13, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3250, loss: 0.3250 +2025-07-01 21:59:57,428 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:35:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.4001, loss: 0.4001 +2025-07-01 22:00:15,372 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-01 22:00:52,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:00:52,030 - pyskl - INFO - +top1_acc 0.9452 +top5_acc 0.9961 +2025-07-01 22:00:52,031 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9452, top5_acc: 0.9961 +2025-07-01 22:01:33,752 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:35:23, time: 0.417, data_time: 0.236, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3971, loss: 0.3971 +2025-07-01 22:01:51,705 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:35:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3807, loss: 0.3807 +2025-07-01 22:02:09,279 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:34:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3601, loss: 0.3601 +2025-07-01 22:02:26,856 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:34:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4024, loss: 0.4024 +2025-07-01 22:02:44,552 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:34:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.3809, loss: 0.3809 +2025-07-01 22:03:02,674 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:33:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.3525, loss: 0.3525 +2025-07-01 22:03:20,262 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:33:27, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4072, loss: 0.4072 +2025-07-01 22:03:38,419 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:33:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3354, loss: 0.3354 +2025-07-01 22:03:56,362 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-01 22:04:33,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:04:33,757 - pyskl - INFO - +top1_acc 0.9445 +top5_acc 0.9953 +2025-07-01 22:04:33,758 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9445, top5_acc: 0.9953 +2025-07-01 22:05:16,082 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:32:38, time: 0.423, data_time: 0.242, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3614, loss: 0.3614 +2025-07-01 22:05:34,071 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:32:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3799, loss: 0.3799 +2025-07-01 22:05:51,840 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:32:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3302, loss: 0.3302 +2025-07-01 22:06:09,551 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:31:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3337, loss: 0.3337 +2025-07-01 22:06:27,688 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:31:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.3421, loss: 0.3421 +2025-07-01 22:06:45,693 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:31:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2948, loss: 0.2948 +2025-07-01 22:07:03,548 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:30:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3314, loss: 0.3314 +2025-07-01 22:07:21,474 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:30:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3459, loss: 0.3459 +2025-07-01 22:07:39,855 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-01 22:08:16,739 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:08:16,768 - pyskl - INFO - +top1_acc 0.9328 +top5_acc 0.9949 +2025-07-01 22:08:16,770 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9328, top5_acc: 0.9949 +2025-07-01 22:08:58,773 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:29:53, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3285, loss: 0.3285 +2025-07-01 22:09:16,665 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:29:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3236, loss: 0.3236 +2025-07-01 22:09:34,845 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:29:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3553, loss: 0.3553 +2025-07-01 22:09:52,501 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:28:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3653, loss: 0.3653 +2025-07-01 22:10:10,409 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:28:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3738, loss: 0.3738 +2025-07-01 22:10:28,650 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:28:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3522, loss: 0.3522 +2025-07-01 22:10:46,528 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:27:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2873, loss: 0.2873 +2025-07-01 22:11:04,433 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:27:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.3868, loss: 0.3868 +2025-07-01 22:11:23,006 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-01 22:12:00,164 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:12:00,187 - pyskl - INFO - +top1_acc 0.9299 +top5_acc 0.9949 +2025-07-01 22:12:00,188 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9299, top5_acc: 0.9949 +2025-07-01 22:12:42,686 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:27:10, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.4063, loss: 0.4063 +2025-07-01 22:13:00,821 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:26:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3358, loss: 0.3358 +2025-07-01 22:13:18,733 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:26:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3358, loss: 0.3358 +2025-07-01 22:13:36,433 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:26:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3201, loss: 0.3201 +2025-07-01 22:13:54,384 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:25:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3196, loss: 0.3196 +2025-07-01 22:14:12,399 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:25:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3225, loss: 0.3225 +2025-07-01 22:14:30,479 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:25:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3360, loss: 0.3360 +2025-07-01 22:14:48,286 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:24:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3746, loss: 0.3746 +2025-07-01 22:15:06,183 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-01 22:15:42,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:15:42,376 - pyskl - INFO - +top1_acc 0.9544 +top5_acc 0.9961 +2025-07-01 22:15:42,380 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_68.pth was removed +2025-07-01 22:15:42,561 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_76.pth. +2025-07-01 22:15:42,561 - pyskl - INFO - Best top1_acc is 0.9544 at 76 epoch. +2025-07-01 22:15:42,563 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9544, top5_acc: 0.9961 +2025-07-01 22:16:24,922 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:24:26, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9975, loss_cls: 0.3661, loss: 0.3661 +2025-07-01 22:16:42,876 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:24:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9944, loss_cls: 0.3323, loss: 0.3323 +2025-07-01 22:17:00,639 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:23:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3017, loss: 0.3017 +2025-07-01 22:17:18,143 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:23:28, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.3030, loss: 0.3030 +2025-07-01 22:17:35,928 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:23:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3129, loss: 0.3129 +2025-07-01 22:17:53,824 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:22:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 0.3217, loss: 0.3217 +2025-07-01 22:18:11,974 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:22:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3407, loss: 0.3407 +2025-07-01 22:18:29,954 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:22:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3780, loss: 0.3780 +2025-07-01 22:18:48,196 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-01 22:19:24,480 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:19:24,503 - pyskl - INFO - +top1_acc 0.9452 +top5_acc 0.9954 +2025-07-01 22:19:24,503 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9452, top5_acc: 0.9954 +2025-07-01 22:20:06,692 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:21:41, time: 0.422, data_time: 0.242, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.3094, loss: 0.3094 +2025-07-01 22:20:24,512 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:21:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.2937, loss: 0.2937 +2025-07-01 22:20:42,679 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:21:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3886, loss: 0.3886 +2025-07-01 22:21:00,666 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:20:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3297, loss: 0.3297 +2025-07-01 22:21:18,551 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:20:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3493, loss: 0.3493 +2025-07-01 22:21:36,453 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:20:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9969, loss_cls: 0.3264, loss: 0.3264 +2025-07-01 22:21:54,529 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:19:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3122, loss: 0.3122 +2025-07-01 22:22:12,059 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:19:27, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.3280, loss: 0.3280 +2025-07-01 22:22:30,214 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-01 22:23:07,547 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:23:07,572 - pyskl - INFO - +top1_acc 0.9468 +top5_acc 0.9964 +2025-07-01 22:23:07,573 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9468, top5_acc: 0.9964 +2025-07-01 22:23:49,686 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:18:56, time: 0.421, data_time: 0.241, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3508, loss: 0.3508 +2025-07-01 22:24:07,589 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:18:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.3019, loss: 0.3019 +2025-07-01 22:24:25,424 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:18:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2960, loss: 0.2960 +2025-07-01 22:24:42,773 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:17:58, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3107, loss: 0.3107 +2025-07-01 22:25:00,361 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:17:39, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3031, loss: 0.3031 +2025-07-01 22:25:17,822 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:17:20, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3922, loss: 0.3922 +2025-07-01 22:25:35,693 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:17:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.3045, loss: 0.3045 +2025-07-01 22:25:53,545 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:16:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3339, loss: 0.3339 +2025-07-01 22:26:11,706 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-01 22:26:48,063 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:26:48,086 - pyskl - INFO - +top1_acc 0.9620 +top5_acc 0.9967 +2025-07-01 22:26:48,090 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_76.pth was removed +2025-07-01 22:26:48,275 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-01 22:26:48,275 - pyskl - INFO - Best top1_acc is 0.9620 at 79 epoch. +2025-07-01 22:26:48,277 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9620, top5_acc: 0.9967 +2025-07-01 22:27:32,045 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:16:11, time: 0.438, data_time: 0.254, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 0.3117, loss: 0.3117 +2025-07-01 22:27:49,555 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:15:52, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3153, loss: 0.3153 +2025-07-01 22:28:07,098 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:15:33, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3306, loss: 0.3306 +2025-07-01 22:28:24,625 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:15:13, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.3050, loss: 0.3050 +2025-07-01 22:28:42,922 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:14:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.3200, loss: 0.3200 +2025-07-01 22:29:00,746 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:14:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3729, loss: 0.3729 +2025-07-01 22:29:18,962 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:14:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3320, loss: 0.3320 +2025-07-01 22:29:36,675 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:13:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3065, loss: 0.3065 +2025-07-01 22:29:54,986 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-01 22:30:31,977 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:30:32,000 - pyskl - INFO - +top1_acc 0.9534 +top5_acc 0.9967 +2025-07-01 22:30:32,001 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9534, top5_acc: 0.9967 +2025-07-01 22:31:13,644 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:13:25, time: 0.416, data_time: 0.238, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3330, loss: 0.3330 +2025-07-01 22:31:31,436 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:13:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3159, loss: 0.3159 +2025-07-01 22:31:49,735 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:12:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2978, loss: 0.2978 +2025-07-01 22:32:07,546 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:12:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2622, loss: 0.2622 +2025-07-01 22:32:25,376 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:12:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3133, loss: 0.3133 +2025-07-01 22:32:43,195 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:11:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2904, loss: 0.2904 +2025-07-01 22:33:01,055 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:11:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3490, loss: 0.3490 +2025-07-01 22:33:19,170 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:11:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3320, loss: 0.3320 +2025-07-01 22:33:37,311 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-01 22:34:13,537 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:34:13,570 - pyskl - INFO - +top1_acc 0.9477 +top5_acc 0.9955 +2025-07-01 22:34:13,572 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9477, top5_acc: 0.9955 +2025-07-01 22:34:55,561 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:10:41, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2675, loss: 0.2675 +2025-07-01 22:35:13,235 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:10:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2704, loss: 0.2704 +2025-07-01 22:35:31,225 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:10:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2885, loss: 0.2885 +2025-07-01 22:35:49,000 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:09:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.2825, loss: 0.2825 +2025-07-01 22:36:06,682 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:09:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3191, loss: 0.3191 +2025-07-01 22:36:24,332 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:09:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3255, loss: 0.3255 +2025-07-01 22:36:41,962 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:08:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.3053, loss: 0.3053 +2025-07-01 22:37:00,312 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:08:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.3076, loss: 0.3076 +2025-07-01 22:37:18,245 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-01 22:37:56,706 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:37:56,732 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9955 +2025-07-01 22:37:56,733 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9414, top5_acc: 0.9955 +2025-07-01 22:38:40,025 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:07:56, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9938, loss_cls: 0.3184, loss: 0.3184 +2025-07-01 22:38:58,115 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:07:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2794, loss: 0.2794 +2025-07-01 22:39:16,380 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:07:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2905, loss: 0.2905 +2025-07-01 22:39:34,000 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:06:59, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2574, loss: 0.2574 +2025-07-01 22:39:51,812 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:06:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.2679, loss: 0.2679 +2025-07-01 22:40:09,585 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:06:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2997, loss: 0.2997 +2025-07-01 22:40:27,508 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:06:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3089, loss: 0.3089 +2025-07-01 22:40:45,643 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:05:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3088, loss: 0.3088 +2025-07-01 22:41:03,419 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-01 22:41:40,482 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:41:40,504 - pyskl - INFO - +top1_acc 0.9599 +top5_acc 0.9972 +2025-07-01 22:41:40,505 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9599, top5_acc: 0.9972 +2025-07-01 22:42:22,868 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:05:12, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3337, loss: 0.3337 +2025-07-01 22:42:40,665 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:04:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2723, loss: 0.2723 +2025-07-01 22:42:58,533 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:04:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2928, loss: 0.2928 +2025-07-01 22:43:16,187 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:04:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3228, loss: 0.3228 +2025-07-01 22:43:34,031 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:03:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3167, loss: 0.3167 +2025-07-01 22:43:51,720 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:03:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2856, loss: 0.2856 +2025-07-01 22:44:09,700 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:03:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2282, loss: 0.2282 +2025-07-01 22:44:27,519 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:02:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2514, loss: 0.2514 +2025-07-01 22:44:45,744 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-01 22:45:21,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:45:21,999 - pyskl - INFO - +top1_acc 0.9531 +top5_acc 0.9960 +2025-07-01 22:45:22,000 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9531, top5_acc: 0.9960 +2025-07-01 22:46:04,154 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:02:26, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3555, loss: 0.3555 +2025-07-01 22:46:22,188 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:02:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3321, loss: 0.3321 +2025-07-01 22:46:40,185 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:01:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3480, loss: 0.3480 +2025-07-01 22:46:57,954 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:01:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2909, loss: 0.2909 +2025-07-01 22:47:15,574 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:01:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2465, loss: 0.2465 +2025-07-01 22:47:33,252 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:00:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3096, loss: 0.3096 +2025-07-01 22:47:51,379 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:00:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2957, loss: 0.2957 +2025-07-01 22:48:09,386 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:00:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2876, loss: 0.2876 +2025-07-01 22:48:27,321 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-01 22:49:04,126 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:49:04,149 - pyskl - INFO - +top1_acc 0.9558 +top5_acc 0.9964 +2025-07-01 22:49:04,150 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9558, top5_acc: 0.9964 +2025-07-01 22:49:47,737 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 2:59:42, time: 0.436, data_time: 0.255, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.3286, loss: 0.3286 +2025-07-01 22:50:05,384 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 2:59:23, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2840, loss: 0.2840 +2025-07-01 22:50:23,477 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 2:59:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9994, loss_cls: 0.2618, loss: 0.2618 +2025-07-01 22:50:41,510 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 2:58:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2667, loss: 0.2667 +2025-07-01 22:50:58,954 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:58:26, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9944, loss_cls: 0.2252, loss: 0.2252 +2025-07-01 22:51:17,112 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:58:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2825, loss: 0.2825 +2025-07-01 22:51:34,992 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:57:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2493, loss: 0.2493 +2025-07-01 22:51:53,357 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:57:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3228, loss: 0.3228 +2025-07-01 22:52:11,451 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-01 22:52:48,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:52:48,695 - pyskl - INFO - +top1_acc 0.9521 +top5_acc 0.9955 +2025-07-01 22:52:48,697 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9521, top5_acc: 0.9955 +2025-07-01 22:53:31,453 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:56:57, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2399, loss: 0.2399 +2025-07-01 22:53:49,203 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:56:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2317, loss: 0.2317 +2025-07-01 22:54:07,003 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:56:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3322, loss: 0.3322 +2025-07-01 22:54:24,434 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:56:00, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.3092, loss: 0.3092 +2025-07-01 22:54:41,691 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:55:40, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2790, loss: 0.2790 +2025-07-01 22:54:59,414 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:55:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2569, loss: 0.2569 +2025-07-01 22:55:17,325 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:55:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3065, loss: 0.3065 +2025-07-01 22:55:35,151 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:54:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.2786, loss: 0.2786 +2025-07-01 22:55:53,397 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-01 22:56:30,474 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:56:30,503 - pyskl - INFO - +top1_acc 0.9590 +top5_acc 0.9960 +2025-07-01 22:56:30,505 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9590, top5_acc: 0.9960 +2025-07-01 22:57:13,065 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:54:11, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2754, loss: 0.2754 +2025-07-01 22:57:30,845 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:53:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2482, loss: 0.2482 +2025-07-01 22:57:48,865 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:53:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2635, loss: 0.2635 +2025-07-01 22:58:06,883 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:53:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2514, loss: 0.2514 +2025-07-01 22:58:24,605 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:52:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2244, loss: 0.2244 +2025-07-01 22:58:42,146 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:52:36, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2816, loss: 0.2816 +2025-07-01 22:59:00,025 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:52:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2787, loss: 0.2787 +2025-07-01 22:59:17,880 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:51:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2591, loss: 0.2591 +2025-07-01 22:59:36,006 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-01 23:00:13,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:00:13,484 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9965 +2025-07-01 23:00:13,485 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9430, top5_acc: 0.9965 +2025-07-01 23:00:57,459 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:51:27, time: 0.440, data_time: 0.256, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2491, loss: 0.2491 +2025-07-01 23:01:15,326 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:51:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2315, loss: 0.2315 +2025-07-01 23:01:33,533 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:50:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2632, loss: 0.2632 +2025-07-01 23:01:51,365 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:50:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2534, loss: 0.2534 +2025-07-01 23:02:09,382 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:50:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2900, loss: 0.2900 +2025-07-01 23:02:27,128 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:49:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2635, loss: 0.2635 +2025-07-01 23:02:44,789 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:49:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2602, loss: 0.2602 +2025-07-01 23:03:02,869 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:49:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2474, loss: 0.2474 +2025-07-01 23:03:20,775 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-01 23:03:58,206 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:03:58,234 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9964 +2025-07-01 23:03:58,236 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9553, top5_acc: 0.9964 +2025-07-01 23:04:40,491 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:48:42, time: 0.422, data_time: 0.242, memory: 2903, top1_acc: 0.9469, top5_acc: 1.0000, loss_cls: 0.2666, loss: 0.2666 +2025-07-01 23:04:58,192 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:48:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2594, loss: 0.2594 +2025-07-01 23:05:16,094 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:48:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2616, loss: 0.2616 +2025-07-01 23:05:34,072 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:47:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3091, loss: 0.3091 +2025-07-01 23:05:51,990 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:47:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2350, loss: 0.2350 +2025-07-01 23:06:09,634 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:47:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2552, loss: 0.2552 +2025-07-01 23:06:27,715 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:46:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2743, loss: 0.2743 +2025-07-01 23:06:45,748 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:46:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.3028, loss: 0.3028 +2025-07-01 23:07:04,338 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-01 23:07:42,011 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:07:42,036 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9968 +2025-07-01 23:07:42,038 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9553, top5_acc: 0.9968 +2025-07-01 23:08:25,627 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:45:57, time: 0.436, data_time: 0.252, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9925, loss_cls: 0.2794, loss: 0.2794 +2025-07-01 23:08:43,509 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:45:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2161, loss: 0.2161 +2025-07-01 23:09:01,673 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:45:19, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2503, loss: 0.2503 +2025-07-01 23:09:19,484 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:45:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2479, loss: 0.2479 +2025-07-01 23:09:37,263 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:44:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2320, loss: 0.2320 +2025-07-01 23:09:55,133 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:44:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2098, loss: 0.2098 +2025-07-01 23:10:13,079 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:44:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2515, loss: 0.2515 +2025-07-01 23:10:31,183 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:43:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2838, loss: 0.2838 +2025-07-01 23:10:49,290 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-01 23:11:26,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:11:26,303 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9958 +2025-07-01 23:11:26,305 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9498, top5_acc: 0.9958 +2025-07-01 23:12:11,501 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:43:14, time: 0.452, data_time: 0.265, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2287, loss: 0.2287 +2025-07-01 23:12:29,586 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:42:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2238, loss: 0.2238 +2025-07-01 23:12:47,934 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:42:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2295, loss: 0.2295 +2025-07-01 23:13:05,667 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:42:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2293, loss: 0.2293 +2025-07-01 23:13:23,328 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:41:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2630, loss: 0.2630 +2025-07-01 23:13:41,199 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:41:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2431, loss: 0.2431 +2025-07-01 23:13:59,022 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:41:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2248, loss: 0.2248 +2025-07-01 23:14:17,094 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:41:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2616, loss: 0.2616 +2025-07-01 23:14:35,454 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-01 23:15:12,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:15:12,763 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9953 +2025-07-01 23:15:12,764 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9453, top5_acc: 0.9953 +2025-07-01 23:15:55,666 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:40:29, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.2762, loss: 0.2762 +2025-07-01 23:16:13,307 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:40:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2648, loss: 0.2648 +2025-07-01 23:16:31,331 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:39:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2740, loss: 0.2740 +2025-07-01 23:16:49,496 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:39:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2371, loss: 0.2371 +2025-07-01 23:17:07,179 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:39:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2700, loss: 0.2700 +2025-07-01 23:17:24,847 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:38:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2581, loss: 0.2581 +2025-07-01 23:17:42,669 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:38:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2308, loss: 0.2308 +2025-07-01 23:18:00,761 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:38:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2623, loss: 0.2623 +2025-07-01 23:18:19,138 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-01 23:18:56,438 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:18:56,461 - pyskl - INFO - +top1_acc 0.9606 +top5_acc 0.9957 +2025-07-01 23:18:56,463 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9606, top5_acc: 0.9957 +2025-07-01 23:19:38,872 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:37:43, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2206, loss: 0.2206 +2025-07-01 23:19:57,036 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:37:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1904, loss: 0.1904 +2025-07-01 23:20:15,086 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:37:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2405, loss: 0.2405 +2025-07-01 23:20:33,011 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:36:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.2520, loss: 0.2520 +2025-07-01 23:20:50,666 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:36:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2499, loss: 0.2499 +2025-07-01 23:21:08,784 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:36:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2188, loss: 0.2188 +2025-07-01 23:21:26,448 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:35:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2096, loss: 0.2096 +2025-07-01 23:21:44,552 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:35:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2548, loss: 0.2548 +2025-07-01 23:22:03,251 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-01 23:22:40,397 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:22:40,420 - pyskl - INFO - +top1_acc 0.9644 +top5_acc 0.9961 +2025-07-01 23:22:40,424 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_79.pth was removed +2025-07-01 23:22:40,612 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-07-01 23:22:40,612 - pyskl - INFO - Best top1_acc is 0.9644 at 94 epoch. +2025-07-01 23:22:40,614 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9644, top5_acc: 0.9961 +2025-07-01 23:23:22,713 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:34:58, time: 0.421, data_time: 0.241, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2645, loss: 0.2645 +2025-07-01 23:23:40,349 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:34:38, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2319, loss: 0.2319 +2025-07-01 23:23:58,480 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:34:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2261, loss: 0.2261 +2025-07-01 23:24:16,596 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:34:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2075, loss: 0.2075 +2025-07-01 23:24:34,719 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:33:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2661, loss: 0.2661 +2025-07-01 23:24:52,905 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:33:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.2030, loss: 0.2030 +2025-07-01 23:25:10,896 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:33:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2366, loss: 0.2366 +2025-07-01 23:25:28,927 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:32:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2560, loss: 0.2560 +2025-07-01 23:25:46,946 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-01 23:26:24,090 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:26:24,122 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9965 +2025-07-01 23:26:24,124 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9609, top5_acc: 0.9965 +2025-07-01 23:27:07,535 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:32:13, time: 0.434, data_time: 0.252, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2457, loss: 0.2457 +2025-07-01 23:27:25,423 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:31:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9956, loss_cls: 0.1978, loss: 0.1978 +2025-07-01 23:27:43,427 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:31:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2163, loss: 0.2163 +2025-07-01 23:28:01,237 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:31:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2351, loss: 0.2351 +2025-07-01 23:28:19,047 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:30:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2159, loss: 0.2159 +2025-07-01 23:28:36,580 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:30:38, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9962, loss_cls: 0.1964, loss: 0.1964 +2025-07-01 23:28:54,196 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:30:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 1.0000, loss_cls: 0.2283, loss: 0.2283 +2025-07-01 23:29:12,485 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:30:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2067, loss: 0.2067 +2025-07-01 23:29:30,844 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-01 23:30:07,670 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:30:07,698 - pyskl - INFO - +top1_acc 0.9634 +top5_acc 0.9967 +2025-07-01 23:30:07,699 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9634, top5_acc: 0.9967 +2025-07-01 23:30:50,465 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:29:27, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1998, loss: 0.1998 +2025-07-01 23:31:08,541 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:29:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2098, loss: 0.2098 +2025-07-01 23:31:26,296 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:28:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2338, loss: 0.2338 +2025-07-01 23:31:44,323 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:28:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2035, loss: 0.2035 +2025-07-01 23:32:02,543 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:28:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2218, loss: 0.2218 +2025-07-01 23:32:20,217 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:27:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2416, loss: 0.2416 +2025-07-01 23:32:38,272 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:27:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2094, loss: 0.2094 +2025-07-01 23:32:56,089 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:27:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2618, loss: 0.2618 +2025-07-01 23:33:14,327 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-01 23:33:50,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:33:50,632 - pyskl - INFO - +top1_acc 0.9669 +top5_acc 0.9964 +2025-07-01 23:33:50,637 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_94.pth was removed +2025-07-01 23:33:50,827 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-07-01 23:33:50,827 - pyskl - INFO - Best top1_acc is 0.9669 at 97 epoch. +2025-07-01 23:33:50,829 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9669, top5_acc: 0.9964 +2025-07-01 23:34:34,796 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:26:43, time: 0.440, data_time: 0.255, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9944, loss_cls: 0.2143, loss: 0.2143 +2025-07-01 23:34:52,806 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:26:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2362, loss: 0.2362 +2025-07-01 23:35:10,813 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:26:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1686, loss: 0.1686 +2025-07-01 23:35:28,633 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:25:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2378, loss: 0.2378 +2025-07-01 23:35:46,344 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:25:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2173, loss: 0.2173 +2025-07-01 23:36:04,100 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:25:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1571, loss: 0.1571 +2025-07-01 23:36:21,968 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:24:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2190, loss: 0.2190 +2025-07-01 23:36:39,681 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:24:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1996, loss: 0.1996 +2025-07-01 23:36:58,075 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-01 23:37:34,907 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:37:34,929 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9964 +2025-07-01 23:37:34,930 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9662, top5_acc: 0.9964 +2025-07-01 23:38:17,126 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:23:57, time: 0.422, data_time: 0.241, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1771, loss: 0.1771 +2025-07-01 23:38:34,999 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:23:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1529, loss: 0.1529 +2025-07-01 23:38:52,760 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:23:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1803, loss: 0.1803 +2025-07-01 23:39:10,693 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:23:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2013, loss: 0.2013 +2025-07-01 23:39:28,704 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:22:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2304, loss: 0.2304 +2025-07-01 23:39:46,235 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:22:22, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1993, loss: 0.1993 +2025-07-01 23:40:04,002 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:22:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1638, loss: 0.1638 +2025-07-01 23:40:22,219 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:21:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2272, loss: 0.2272 +2025-07-01 23:40:40,611 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-01 23:41:17,537 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:41:17,560 - pyskl - INFO - +top1_acc 0.9683 +top5_acc 0.9971 +2025-07-01 23:41:17,564 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_97.pth was removed +2025-07-01 23:41:17,756 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2025-07-01 23:41:17,756 - pyskl - INFO - Best top1_acc is 0.9683 at 99 epoch. +2025-07-01 23:41:17,758 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9683, top5_acc: 0.9971 +2025-07-01 23:42:00,768 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:21:11, time: 0.430, data_time: 0.249, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1630, loss: 0.1630 +2025-07-01 23:42:18,175 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:20:52, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 0.1945, loss: 0.1945 +2025-07-01 23:42:36,245 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:20:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2045, loss: 0.2045 +2025-07-01 23:42:54,416 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:20:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1842, loss: 0.1842 +2025-07-01 23:43:12,127 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:19:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.2106, loss: 0.2106 +2025-07-01 23:43:29,641 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:19:36, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1783, loss: 0.1783 +2025-07-01 23:43:47,250 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:19:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.1977, loss: 0.1977 +2025-07-01 23:44:05,573 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:18:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2040, loss: 0.2040 +2025-07-01 23:44:23,907 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-01 23:45:00,874 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:45:00,902 - pyskl - INFO - +top1_acc 0.9658 +top5_acc 0.9969 +2025-07-01 23:45:00,903 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9658, top5_acc: 0.9969 +2025-07-01 23:45:44,016 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:18:25, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1659, loss: 0.1659 +2025-07-01 23:46:02,185 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:18:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1732, loss: 0.1732 +2025-07-01 23:46:20,293 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:17:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2382, loss: 0.2382 +2025-07-01 23:46:38,165 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:17:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1629, loss: 0.1629 +2025-07-01 23:46:55,879 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:17:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1541, loss: 0.1541 +2025-07-01 23:47:13,444 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:16:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1727, loss: 0.1727 +2025-07-01 23:47:31,837 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:16:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1506, loss: 0.1506 +2025-07-01 23:47:49,733 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:16:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1793, loss: 0.1793 +2025-07-01 23:48:07,994 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-01 23:48:45,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:48:45,457 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9969 +2025-07-01 23:48:45,463 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_99.pth was removed +2025-07-01 23:48:45,688 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2025-07-01 23:48:45,688 - pyskl - INFO - Best top1_acc is 0.9698 at 101 epoch. +2025-07-01 23:48:45,690 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9698, top5_acc: 0.9969 +2025-07-01 23:49:28,300 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:15:40, time: 0.426, data_time: 0.246, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1477, loss: 0.1477 +2025-07-01 23:49:46,150 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:15:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1994, loss: 0.1994 +2025-07-01 23:50:04,530 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:15:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1656, loss: 0.1656 +2025-07-01 23:50:22,513 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:14:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1579, loss: 0.1579 +2025-07-01 23:50:40,123 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:14:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1729, loss: 0.1729 +2025-07-01 23:50:57,738 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:14:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1403, loss: 0.1403 +2025-07-01 23:51:15,286 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:13:46, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1593, loss: 0.1593 +2025-07-01 23:51:33,207 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:13:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1753, loss: 0.1753 +2025-07-01 23:51:51,658 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-01 23:52:28,505 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:52:28,533 - pyskl - INFO - +top1_acc 0.9644 +top5_acc 0.9971 +2025-07-01 23:52:28,534 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9644, top5_acc: 0.9971 +2025-07-01 23:53:11,515 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:12:54, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2172, loss: 0.2172 +2025-07-01 23:53:29,972 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:12:35, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1745, loss: 0.1745 +2025-07-01 23:53:48,269 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:12:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1696, loss: 0.1696 +2025-07-01 23:54:06,128 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:11:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1433, loss: 0.1433 +2025-07-01 23:54:24,048 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:11:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1543, loss: 0.1543 +2025-07-01 23:54:41,656 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:11:20, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1622, loss: 0.1622 +2025-07-01 23:54:59,419 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:11:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1644, loss: 0.1644 +2025-07-01 23:55:17,638 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:10:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1769, loss: 0.1769 +2025-07-01 23:55:36,145 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-01 23:56:13,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:56:13,433 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9969 +2025-07-01 23:56:13,434 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9691, top5_acc: 0.9969 +2025-07-01 23:56:55,198 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:10:08, time: 0.418, data_time: 0.238, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1817, loss: 0.1817 +2025-07-01 23:57:12,821 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:09:49, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1360, loss: 0.1360 +2025-07-01 23:57:30,897 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:09:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1967, loss: 0.1967 +2025-07-01 23:57:48,735 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:09:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1790, loss: 0.1790 +2025-07-01 23:58:06,588 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:08:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1865, loss: 0.1865 +2025-07-01 23:58:24,235 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:08:33, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1846, loss: 0.1846 +2025-07-01 23:58:41,917 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:08:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1488, loss: 0.1488 +2025-07-01 23:58:59,903 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:07:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2319, loss: 0.2319 +2025-07-01 23:59:18,635 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-01 23:59:56,100 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:59:56,125 - pyskl - INFO - +top1_acc 0.9736 +top5_acc 0.9976 +2025-07-01 23:59:56,131 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_101.pth was removed +2025-07-01 23:59:56,455 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-01 23:59:56,456 - pyskl - INFO - Best top1_acc is 0.9736 at 104 epoch. +2025-07-01 23:59:56,458 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9736, top5_acc: 0.9976 +2025-07-02 00:00:39,512 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:07:22, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1443, loss: 0.1443 +2025-07-02 00:00:57,863 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:07:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1568, loss: 0.1568 +2025-07-02 00:01:15,965 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:06:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1508, loss: 0.1508 +2025-07-02 00:01:34,058 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:06:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1636, loss: 0.1636 +2025-07-02 00:01:52,045 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:06:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9956, loss_cls: 0.1470, loss: 0.1470 +2025-07-02 00:02:09,858 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:05:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1763, loss: 0.1763 +2025-07-02 00:02:27,460 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:05:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1524, loss: 0.1524 +2025-07-02 00:02:45,205 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:05:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1632, loss: 0.1632 +2025-07-02 00:03:03,745 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 00:03:40,492 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:03:40,515 - pyskl - INFO - +top1_acc 0.9672 +top5_acc 0.9969 +2025-07-02 00:03:40,516 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9672, top5_acc: 0.9969 +2025-07-02 00:04:22,757 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:04:36, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1975, loss: 0.1975 +2025-07-02 00:04:40,412 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:04:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2055, loss: 0.2055 +2025-07-02 00:04:58,621 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:03:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1638, loss: 0.1638 +2025-07-02 00:05:16,668 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:03:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1704, loss: 0.1704 +2025-07-02 00:05:34,547 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:03:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1503, loss: 0.1503 +2025-07-02 00:05:52,636 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:03:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1615, loss: 0.1615 +2025-07-02 00:06:10,529 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:02:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1851, loss: 0.1851 +2025-07-02 00:06:28,580 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:02:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 00:06:46,973 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 00:07:23,462 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:07:23,485 - pyskl - INFO - +top1_acc 0.9740 +top5_acc 0.9971 +2025-07-02 00:07:23,489 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_104.pth was removed +2025-07-02 00:07:23,673 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-07-02 00:07:23,673 - pyskl - INFO - Best top1_acc is 0.9740 at 106 epoch. +2025-07-02 00:07:23,675 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9740, top5_acc: 0.9971 +2025-07-02 00:08:06,452 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:01:50, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1368, loss: 0.1368 +2025-07-02 00:08:24,764 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:01:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1301, loss: 0.1301 +2025-07-02 00:08:42,681 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:01:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1552, loss: 0.1552 +2025-07-02 00:09:00,626 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:00:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1473, loss: 0.1473 +2025-07-02 00:09:18,561 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:00:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1495, loss: 0.1495 +2025-07-02 00:09:36,226 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:00:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1365, loss: 0.1365 +2025-07-02 00:09:53,974 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 1:59:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1229, loss: 0.1229 +2025-07-02 00:10:11,937 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 1:59:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1482, loss: 0.1482 +2025-07-02 00:10:30,566 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 00:11:07,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:11:07,440 - pyskl - INFO - +top1_acc 0.9683 +top5_acc 0.9967 +2025-07-02 00:11:07,442 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9683, top5_acc: 0.9967 +2025-07-02 00:11:49,348 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 1:59:04, time: 0.419, data_time: 0.242, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1695, loss: 0.1695 +2025-07-02 00:12:07,312 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:58:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1614, loss: 0.1614 +2025-07-02 00:12:25,212 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:58:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1578, loss: 0.1578 +2025-07-02 00:12:43,227 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:58:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1863, loss: 0.1863 +2025-07-02 00:13:01,244 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:57:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1433, loss: 0.1433 +2025-07-02 00:13:19,040 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:57:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1262, loss: 0.1262 +2025-07-02 00:13:36,667 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:57:11, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 00:13:54,224 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:56:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1186, loss: 0.1186 +2025-07-02 00:14:12,648 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 00:14:50,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:14:50,167 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9972 +2025-07-02 00:14:50,171 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_106.pth was removed +2025-07-02 00:14:50,375 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2025-07-02 00:14:50,375 - pyskl - INFO - Best top1_acc is 0.9745 at 108 epoch. +2025-07-02 00:14:50,377 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9745, top5_acc: 0.9972 +2025-07-02 00:15:32,596 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:56:18, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1034, loss: 0.1034 +2025-07-02 00:15:50,902 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:55:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1384, loss: 0.1384 +2025-07-02 00:16:08,954 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:55:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1369, loss: 0.1369 +2025-07-02 00:16:26,864 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:55:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1024, loss: 0.1024 +2025-07-02 00:16:45,074 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:55:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1382, loss: 0.1382 +2025-07-02 00:17:02,913 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:54:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1499, loss: 0.1499 +2025-07-02 00:17:20,604 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:54:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1252, loss: 0.1252 +2025-07-02 00:17:38,335 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:54:06, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1326, loss: 0.1326 +2025-07-02 00:17:56,931 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 00:18:35,496 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:18:35,521 - pyskl - INFO - +top1_acc 0.9709 +top5_acc 0.9964 +2025-07-02 00:18:35,523 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9709, top5_acc: 0.9964 +2025-07-02 00:19:17,514 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:53:31, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1446, loss: 0.1446 +2025-07-02 00:19:35,511 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:53:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1144, loss: 0.1144 +2025-07-02 00:19:53,761 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:52:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1371, loss: 0.1371 +2025-07-02 00:20:11,485 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:52:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1180, loss: 0.1180 +2025-07-02 00:20:29,591 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:52:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1148, loss: 0.1148 +2025-07-02 00:20:47,472 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:51:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 00:21:04,844 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:51:39, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1327, loss: 0.1327 +2025-07-02 00:21:22,696 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:51:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1413, loss: 0.1413 +2025-07-02 00:21:40,762 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 00:22:16,966 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:22:16,988 - pyskl - INFO - +top1_acc 0.9751 +top5_acc 0.9972 +2025-07-02 00:22:16,992 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_108.pth was removed +2025-07-02 00:22:17,169 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 00:22:17,170 - pyskl - INFO - Best top1_acc is 0.9751 at 110 epoch. +2025-07-02 00:22:17,171 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9751, top5_acc: 0.9972 +2025-07-02 00:22:59,384 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:50:45, time: 0.422, data_time: 0.243, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1426, loss: 0.1426 +2025-07-02 00:23:17,321 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:50:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1423, loss: 0.1423 +2025-07-02 00:23:35,286 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:50:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0992, loss: 0.0992 +2025-07-02 00:23:53,239 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:49:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 00:24:11,220 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:49:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1599, loss: 0.1599 +2025-07-02 00:24:28,885 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:49:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.1011, loss: 0.1011 +2025-07-02 00:24:46,559 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:48:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 00:25:04,382 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:48:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1130, loss: 0.1130 +2025-07-02 00:25:23,054 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 00:25:59,862 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:25:59,886 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9969 +2025-07-02 00:25:59,890 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_110.pth was removed +2025-07-02 00:26:00,074 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 00:26:00,075 - pyskl - INFO - Best top1_acc is 0.9757 at 111 epoch. +2025-07-02 00:26:00,076 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9757, top5_acc: 0.9969 +2025-07-02 00:26:42,303 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:47:59, time: 0.422, data_time: 0.241, memory: 2903, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1383, loss: 0.1383 +2025-07-02 00:27:00,391 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:47:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1064, loss: 0.1064 +2025-07-02 00:27:18,493 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:47:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1317, loss: 0.1317 +2025-07-02 00:27:36,797 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1116, loss: 0.1116 +2025-07-02 00:27:54,904 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:46:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 00:28:12,627 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:46:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1234, loss: 0.1234 +2025-07-02 00:28:30,373 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:46:06, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1493, loss: 0.1493 +2025-07-02 00:28:47,924 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:45:47, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1169, loss: 0.1169 +2025-07-02 00:29:06,313 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 00:29:43,261 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:29:43,284 - pyskl - INFO - +top1_acc 0.9741 +top5_acc 0.9964 +2025-07-02 00:29:43,285 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9741, top5_acc: 0.9964 +2025-07-02 00:30:25,385 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:45:12, time: 0.421, data_time: 0.241, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1099, loss: 0.1099 +2025-07-02 00:30:43,405 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:44:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1194, loss: 0.1194 +2025-07-02 00:31:01,609 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:44:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1338, loss: 0.1338 +2025-07-02 00:31:19,524 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:44:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 00:31:37,756 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:43:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1485, loss: 0.1485 +2025-07-02 00:31:55,652 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:43:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 00:32:13,417 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:43:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1146, loss: 0.1146 +2025-07-02 00:32:31,149 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1544, loss: 0.1544 +2025-07-02 00:32:49,532 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 00:33:26,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:33:26,470 - pyskl - INFO - +top1_acc 0.9605 +top5_acc 0.9965 +2025-07-02 00:33:26,472 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9605, top5_acc: 0.9965 +2025-07-02 00:34:08,970 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:42:26, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1403, loss: 0.1403 +2025-07-02 00:34:26,914 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:42:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9962, loss_cls: 0.1437, loss: 0.1437 +2025-07-02 00:34:44,866 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:41:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1471, loss: 0.1471 +2025-07-02 00:35:02,937 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:41:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9969, loss_cls: 0.1237, loss: 0.1237 +2025-07-02 00:35:20,901 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:41:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 00:35:38,685 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:40:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 00:35:56,617 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:40:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 00:36:14,346 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:40:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0933, loss: 0.0933 +2025-07-02 00:36:32,825 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 00:37:10,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:37:10,441 - pyskl - INFO - +top1_acc 0.9762 +top5_acc 0.9971 +2025-07-02 00:37:10,446 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_111.pth was removed +2025-07-02 00:37:10,699 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-07-02 00:37:10,700 - pyskl - INFO - Best top1_acc is 0.9762 at 114 epoch. +2025-07-02 00:37:10,702 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9762, top5_acc: 0.9971 +2025-07-02 00:37:53,516 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:39:40, time: 0.428, data_time: 0.248, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0884, loss: 0.0884 +2025-07-02 00:38:11,728 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:39:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 00:38:29,362 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:03, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1093, loss: 0.1093 +2025-07-02 00:38:47,248 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:38:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 00:39:05,246 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:38:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1063, loss: 0.1063 +2025-07-02 00:39:23,101 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:38:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0959, loss: 0.0959 +2025-07-02 00:39:40,810 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:37:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1276, loss: 0.1276 +2025-07-02 00:39:58,200 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:37:29, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0996, loss: 0.0996 +2025-07-02 00:40:16,264 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 00:40:52,473 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:40:52,496 - pyskl - INFO - +top1_acc 0.9731 +top5_acc 0.9972 +2025-07-02 00:40:52,497 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9731, top5_acc: 0.9972 +2025-07-02 00:41:34,644 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:36:54, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1009, loss: 0.1009 +2025-07-02 00:41:52,355 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:36:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 00:42:10,161 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:36:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0952, loss: 0.0952 +2025-07-02 00:42:28,218 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:35:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 00:42:46,229 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:35:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1200, loss: 0.1200 +2025-07-02 00:43:04,332 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:35:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 00:43:22,111 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1009, loss: 0.1009 +2025-07-02 00:43:40,253 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:34:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1147, loss: 0.1147 +2025-07-02 00:43:58,565 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 00:44:34,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:44:34,913 - pyskl - INFO - +top1_acc 0.9744 +top5_acc 0.9974 +2025-07-02 00:44:34,914 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9744, top5_acc: 0.9974 +2025-07-02 00:45:17,487 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:07, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0964, loss: 0.0964 +2025-07-02 00:45:35,271 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:33:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 00:45:53,535 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:33:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1082, loss: 0.1082 +2025-07-02 00:46:11,716 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:33:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.1038, loss: 0.1038 +2025-07-02 00:46:29,660 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:32:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 00:46:47,521 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:32:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1192, loss: 0.1192 +2025-07-02 00:47:05,252 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:32:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 00:47:23,128 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:31:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0845, loss: 0.0845 +2025-07-02 00:47:41,198 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 00:48:17,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:48:17,979 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9968 +2025-07-02 00:48:17,981 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9761, top5_acc: 0.9968 +2025-07-02 00:49:00,305 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:31:21, time: 0.423, data_time: 0.243, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0953, loss: 0.0953 +2025-07-02 00:49:18,237 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0754, loss: 0.0754 +2025-07-02 00:49:36,034 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:30:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0850, loss: 0.0850 +2025-07-02 00:49:54,354 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:30:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0695, loss: 0.0695 +2025-07-02 00:50:12,809 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:06, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0713, loss: 0.0713 +2025-07-02 00:50:30,853 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:29:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1040, loss: 0.1040 +2025-07-02 00:50:48,507 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:29:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 00:51:06,096 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0922, loss: 0.0922 +2025-07-02 00:51:24,439 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 00:52:01,756 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:52:01,788 - pyskl - INFO - +top1_acc 0.9782 +top5_acc 0.9969 +2025-07-02 00:52:01,794 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_114.pth was removed +2025-07-02 00:52:02,029 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-07-02 00:52:02,030 - pyskl - INFO - Best top1_acc is 0.9782 at 118 epoch. +2025-07-02 00:52:02,032 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9782, top5_acc: 0.9969 +2025-07-02 00:52:44,942 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:28:35, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1150, loss: 0.1150 +2025-07-02 00:53:02,415 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:28:16, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0756, loss: 0.0756 +2025-07-02 00:53:20,379 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:27:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0875, loss: 0.0875 +2025-07-02 00:53:38,640 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:27:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 00:53:56,732 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:27:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 00:54:14,673 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 00:54:32,468 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:26:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 00:54:50,375 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:26:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0988, loss: 0.0988 +2025-07-02 00:55:08,946 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 00:55:45,792 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:55:45,815 - pyskl - INFO - +top1_acc 0.9736 +top5_acc 0.9967 +2025-07-02 00:55:45,817 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9736, top5_acc: 0.9967 +2025-07-02 00:56:27,111 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:25:48, time: 0.413, data_time: 0.232, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1159, loss: 0.1159 +2025-07-02 00:56:44,870 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:25:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1075, loss: 0.1075 +2025-07-02 00:57:03,126 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 00:57:21,241 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:24:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0661, loss: 0.0661 +2025-07-02 00:57:39,374 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:24:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 00:57:57,152 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 00:58:14,824 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:23:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9969, loss_cls: 0.0875, loss: 0.0875 +2025-07-02 00:58:32,496 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:23:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1070, loss: 0.1070 +2025-07-02 00:58:50,559 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 00:59:26,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:59:26,909 - pyskl - INFO - +top1_acc 0.9770 +top5_acc 0.9969 +2025-07-02 00:59:26,910 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9770, top5_acc: 0.9969 +2025-07-02 01:00:09,065 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:02, time: 0.421, data_time: 0.236, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 01:00:26,839 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:22:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 01:00:44,764 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:22:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0840, loss: 0.0840 +2025-07-02 01:01:02,860 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 01:01:20,815 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:21:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 01:01:38,836 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:21:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0766, loss: 0.0766 +2025-07-02 01:01:56,624 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0943, loss: 0.0943 +2025-07-02 01:02:14,217 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:20:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1010, loss: 0.1010 +2025-07-02 01:02:32,051 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 01:03:08,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:03:08,978 - pyskl - INFO - +top1_acc 0.9770 +top5_acc 0.9974 +2025-07-02 01:03:08,979 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9770, top5_acc: 0.9974 +2025-07-02 01:03:50,829 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:15, time: 0.418, data_time: 0.238, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0850, loss: 0.0850 +2025-07-02 01:04:08,868 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:19:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0595, loss: 0.0595 +2025-07-02 01:04:26,181 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:19:38, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0907, loss: 0.0907 +2025-07-02 01:04:44,321 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:19:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 01:05:02,265 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 01:05:20,320 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:18:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 01:05:38,403 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:18:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 01:05:56,084 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0736, loss: 0.0736 +2025-07-02 01:06:14,415 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 01:06:50,617 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:06:50,639 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9971 +2025-07-02 01:06:50,640 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9758, top5_acc: 0.9971 +2025-07-02 01:07:32,405 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:17:29, time: 0.418, data_time: 0.234, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0591, loss: 0.0591 +2025-07-02 01:07:50,437 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0768, loss: 0.0768 +2025-07-02 01:08:08,059 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:16:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0809, loss: 0.0809 +2025-07-02 01:08:25,914 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:16:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 01:08:43,707 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 01:09:01,775 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:15:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 01:09:19,556 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:15:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 01:09:37,214 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0822, loss: 0.0822 +2025-07-02 01:09:55,148 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 01:10:31,798 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:10:31,828 - pyskl - INFO - +top1_acc 0.9770 +top5_acc 0.9972 +2025-07-02 01:10:31,830 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9770, top5_acc: 0.9972 +2025-07-02 01:11:14,695 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:14:42, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0913, loss: 0.0913 +2025-07-02 01:11:32,330 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:14:23, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 01:11:50,159 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 01:12:07,857 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:13:46, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0879, loss: 0.0879 +2025-07-02 01:12:25,736 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:13:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0769, loss: 0.0769 +2025-07-02 01:12:43,908 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 01:13:01,867 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:12:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 01:13:20,083 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:12:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 01:13:38,236 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 01:14:14,607 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:14:14,630 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9968 +2025-07-02 01:14:14,631 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9779, top5_acc: 0.9968 +2025-07-02 01:14:57,599 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:11:56, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 01:15:15,714 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:11:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 01:15:33,465 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0608, loss: 0.0608 +2025-07-02 01:15:51,254 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0629, loss: 0.0629 +2025-07-02 01:16:09,144 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:10:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0595, loss: 0.0595 +2025-07-02 01:16:27,278 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 01:16:45,279 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 01:17:02,937 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:09:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 01:17:20,877 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 01:17:57,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:17:57,757 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9971 +2025-07-02 01:17:57,758 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9761, top5_acc: 0.9971 +2025-07-02 01:18:40,284 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:09, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 01:18:58,201 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:08:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 01:19:16,144 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:08:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0690, loss: 0.0690 +2025-07-02 01:19:33,916 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 01:19:51,861 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:07:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 01:20:10,089 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:07:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 01:20:28,344 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 01:20:46,332 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:06:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0556, loss: 0.0556 +2025-07-02 01:21:04,600 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 01:21:41,925 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:21:41,949 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9975 +2025-07-02 01:21:41,950 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9773, top5_acc: 0.9975 +2025-07-02 01:22:24,537 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:23, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 01:22:42,511 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 01:23:00,461 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:05:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 01:23:18,681 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:05:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 01:23:36,575 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0690, loss: 0.0690 +2025-07-02 01:23:54,757 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:04:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 01:24:12,876 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:04:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 01:24:30,740 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 01:24:48,848 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 01:25:24,964 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:25:24,992 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9968 +2025-07-02 01:25:24,993 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9773, top5_acc: 0.9968 +2025-07-02 01:26:07,299 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:03:36, time: 0.423, data_time: 0.242, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 01:26:24,937 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:18, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0571, loss: 0.0571 +2025-07-02 01:26:42,604 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:02:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 01:27:00,317 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:02:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 01:27:18,246 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 01:27:35,965 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 01:27:54,099 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:01:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0605, loss: 0.0605 +2025-07-02 01:28:11,883 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 01:28:30,097 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 01:29:06,303 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:29:06,338 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9968 +2025-07-02 01:29:06,344 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_118.pth was removed +2025-07-02 01:29:06,579 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-07-02 01:29:06,579 - pyskl - INFO - Best top1_acc is 0.9795 at 128 epoch. +2025-07-02 01:29:06,581 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9795, top5_acc: 0.9968 +2025-07-02 01:29:49,819 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:00:50, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0649, loss: 0.0649 +2025-07-02 01:30:07,991 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:00:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0494, loss: 0.0494 +2025-07-02 01:30:26,056 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 01:30:44,028 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 0:59:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 01:31:02,228 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 0:59:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 01:31:20,102 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0529, loss: 0.0529 +2025-07-02 01:31:38,145 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:58:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 01:31:55,977 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:58:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 01:32:14,313 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 01:32:51,968 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:32:51,996 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9969 +2025-07-02 01:32:51,997 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9793, top5_acc: 0.9969 +2025-07-02 01:33:33,740 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:03, time: 0.417, data_time: 0.236, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0479, loss: 0.0479 +2025-07-02 01:33:51,835 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:57:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 01:34:09,454 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 01:34:27,477 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 01:34:45,082 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:56:48, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 01:35:03,108 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:56:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 01:35:21,195 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 01:35:39,084 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:55:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 01:35:57,530 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 01:36:36,117 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:36:36,141 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9972 +2025-07-02 01:36:36,143 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9790, top5_acc: 0.9972 +2025-07-02 01:37:19,624 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:17, time: 0.435, data_time: 0.252, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 01:37:37,444 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:54:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 01:37:55,368 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:54:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 01:38:13,471 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 01:38:31,336 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 01:38:49,162 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:53:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 01:39:07,337 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 01:39:25,419 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 01:39:43,745 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 01:40:20,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:40:20,242 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9974 +2025-07-02 01:40:20,246 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_128.pth was removed +2025-07-02 01:40:20,434 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 01:40:20,435 - pyskl - INFO - Best top1_acc is 0.9802 at 131 epoch. +2025-07-02 01:40:20,436 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9802, top5_acc: 0.9974 +2025-07-02 01:41:02,880 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:30, time: 0.424, data_time: 0.244, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 01:41:20,442 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:11, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 01:41:38,022 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:51:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 01:41:55,775 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:51:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 01:42:13,663 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 01:42:31,778 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:50:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 01:42:49,925 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:50:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 01:43:07,814 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 01:43:26,255 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 01:44:03,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:44:03,500 - pyskl - INFO - +top1_acc 0.9787 +top5_acc 0.9971 +2025-07-02 01:44:03,501 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9787, top5_acc: 0.9971 +2025-07-02 01:44:45,854 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:49:43, time: 0.423, data_time: 0.243, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0523, loss: 0.0523 +2025-07-02 01:45:03,774 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 01:45:21,698 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 01:45:39,841 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:48:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 01:45:58,022 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 01:46:15,947 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 01:46:34,224 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:47:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 01:46:52,139 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 01:47:10,852 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 01:47:48,049 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:47:48,071 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9972 +2025-07-02 01:47:48,072 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9793, top5_acc: 0.9972 +2025-07-02 01:48:29,739 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:46:57, time: 0.417, data_time: 0.239, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 01:48:48,094 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:46:38, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 01:49:06,039 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 01:49:24,045 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 01:49:42,168 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:45:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 01:49:59,828 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 01:50:17,989 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 01:50:36,101 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:44:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 01:50:54,313 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 01:51:31,481 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:51:31,519 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9974 +2025-07-02 01:51:31,520 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9795, top5_acc: 0.9974 +2025-07-02 01:52:14,226 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:10, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 01:52:32,441 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:43:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 01:52:50,165 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 01:53:07,916 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 01:53:26,026 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:42:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 01:53:43,705 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 01:54:01,675 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 01:54:19,738 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 01:54:37,528 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 01:55:14,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:55:14,494 - pyskl - INFO - +top1_acc 0.9804 +top5_acc 0.9971 +2025-07-02 01:55:14,498 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_131.pth was removed +2025-07-02 01:55:14,702 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 01:55:14,702 - pyskl - INFO - Best top1_acc is 0.9804 at 135 epoch. +2025-07-02 01:55:14,704 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9804, top5_acc: 0.9971 +2025-07-02 01:55:57,685 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:24, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 01:56:15,790 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 01:56:33,790 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:40:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 01:56:51,465 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 01:57:09,687 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 01:57:27,448 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:39:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0521, loss: 0.0521 +2025-07-02 01:57:45,281 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 01:58:03,232 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 01:58:21,326 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 01:58:58,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:58:58,241 - pyskl - INFO - +top1_acc 0.9782 +top5_acc 0.9975 +2025-07-02 01:58:58,241 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9782, top5_acc: 0.9975 +2025-07-02 01:59:40,640 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:37, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 01:59:58,564 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 02:00:16,400 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:00, time: 0.178, data_time: 0.001, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 02:00:34,395 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:37:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 02:00:52,604 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 02:01:10,406 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 02:01:28,494 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:36:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:01:46,329 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 02:02:04,858 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 02:02:41,079 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:02:41,102 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9974 +2025-07-02 02:02:41,103 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9801, top5_acc: 0.9974 +2025-07-02 02:03:23,780 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:35:50, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 02:03:41,551 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 02:03:59,456 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 02:04:17,320 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:34:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0246, loss: 0.0246 +2025-07-02 02:04:35,441 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 02:04:53,135 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 02:05:10,988 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:33:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 02:05:29,029 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 02:05:47,431 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 02:06:24,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:06:24,585 - pyskl - INFO - +top1_acc 0.9805 +top5_acc 0.9972 +2025-07-02 02:06:24,590 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_135.pth was removed +2025-07-02 02:06:24,787 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-07-02 02:06:24,787 - pyskl - INFO - Best top1_acc is 0.9805 at 138 epoch. +2025-07-02 02:06:24,789 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9805, top5_acc: 0.9972 +2025-07-02 02:07:07,360 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:03, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 02:07:25,631 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:32:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 02:07:43,783 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0554, loss: 0.0554 +2025-07-02 02:08:01,728 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 02:08:20,032 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:31:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 02:08:38,046 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 02:08:56,177 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 02:09:14,473 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:30:53, time: 0.183, data_time: 0.001, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 02:09:32,969 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 02:10:09,440 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:10:09,464 - pyskl - INFO - +top1_acc 0.9808 +top5_acc 0.9976 +2025-07-02 02:10:09,468 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_138.pth was removed +2025-07-02 02:10:09,653 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-07-02 02:10:09,654 - pyskl - INFO - Best top1_acc is 0.9808 at 139 epoch. +2025-07-02 02:10:09,656 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9808, top5_acc: 0.9976 +2025-07-02 02:10:52,430 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:17, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 02:11:10,617 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:29:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 02:11:28,623 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 02:11:46,616 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0202, loss: 0.0202 +2025-07-02 02:12:04,568 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 02:12:22,387 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 02:12:40,319 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 02:12:58,356 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 02:13:16,582 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 02:13:53,881 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:13:53,905 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9972 +2025-07-02 02:13:53,906 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9801, top5_acc: 0.9972 +2025-07-02 02:14:36,491 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:30, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 02:14:54,418 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 02:15:12,199 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:26:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 02:15:30,392 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 02:15:48,225 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 02:16:06,051 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:25:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 02:16:23,886 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 02:16:41,744 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 02:16:59,944 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 02:17:37,147 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:17:37,175 - pyskl - INFO - +top1_acc 0.9809 +top5_acc 0.9976 +2025-07-02 02:17:37,181 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_139.pth was removed +2025-07-02 02:17:37,394 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2025-07-02 02:17:37,394 - pyskl - INFO - Best top1_acc is 0.9809 at 141 epoch. +2025-07-02 02:17:37,396 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9809, top5_acc: 0.9976 +2025-07-02 02:18:20,174 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:43, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 02:18:38,183 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 02:18:56,083 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 02:19:13,880 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0225, loss: 0.0225 +2025-07-02 02:19:31,546 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 02:19:49,454 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 02:20:07,164 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:22:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 02:20:24,777 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:33, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 02:20:42,865 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 02:21:19,164 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:21:19,192 - pyskl - INFO - +top1_acc 0.9811 +top5_acc 0.9975 +2025-07-02 02:21:19,198 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_141.pth was removed +2025-07-02 02:21:19,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-07-02 02:21:19,411 - pyskl - INFO - Best top1_acc is 0.9811 at 142 epoch. +2025-07-02 02:21:19,412 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9811, top5_acc: 0.9975 +2025-07-02 02:22:02,214 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:21:56, time: 0.428, data_time: 0.247, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 02:22:20,188 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:22:38,420 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 02:22:56,054 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 02:23:13,575 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:42, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 02:23:31,438 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 02:23:49,113 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 02:24:07,213 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:24:25,347 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 02:25:01,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:25:01,498 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9975 +2025-07-02 02:25:01,499 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9802, top5_acc: 0.9975 +2025-07-02 02:25:43,514 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:09, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:26:01,431 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:18:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 02:26:19,093 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 02:26:36,738 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:13, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:26:54,431 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:17:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 02:27:12,499 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 02:27:30,159 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 02:27:48,141 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:16:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 02:28:06,279 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 02:28:43,639 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:28:43,663 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9972 +2025-07-02 02:28:43,665 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9802, top5_acc: 0.9972 +2025-07-02 02:29:25,588 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:22, time: 0.419, data_time: 0.239, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 02:29:43,112 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:04, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 02:30:00,914 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 02:30:18,980 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 02:30:36,601 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:08, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 02:30:54,372 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 02:31:12,025 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 02:31:29,587 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:12, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 02:31:48,261 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 02:32:25,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:32:25,137 - pyskl - INFO - +top1_acc 0.9808 +top5_acc 0.9972 +2025-07-02 02:32:25,137 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9808, top5_acc: 0.9972 +2025-07-02 02:33:07,696 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:35, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 02:33:25,332 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 02:33:42,920 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:12:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 02:34:00,779 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:34:18,400 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 02:34:36,609 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 02:34:54,295 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 02:35:11,968 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 02:35:30,230 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 02:36:07,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:36:07,072 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9975 +2025-07-02 02:36:07,073 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9801, top5_acc: 0.9975 +2025-07-02 02:36:49,853 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:49, time: 0.428, data_time: 0.247, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 02:37:07,631 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 02:37:25,701 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 02:37:43,578 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 02:38:01,219 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:34, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0282, loss: 0.0282 +2025-07-02 02:38:18,759 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:16, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 02:38:36,352 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:08:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0192, loss: 0.0192 +2025-07-02 02:38:53,847 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:38, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 02:39:12,237 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 02:39:48,314 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:39:48,340 - pyskl - INFO - +top1_acc 0.9807 +top5_acc 0.9976 +2025-07-02 02:39:48,341 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9807, top5_acc: 0.9976 +2025-07-02 02:40:30,566 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:02, time: 0.422, data_time: 0.242, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 02:40:48,168 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:43, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0186, loss: 0.0186 +2025-07-02 02:41:06,267 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 02:41:24,164 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 02:41:42,151 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 02:42:00,216 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 02:42:18,239 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 02:42:35,930 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 02:42:54,076 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 02:43:31,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:43:31,604 - pyskl - INFO - +top1_acc 0.9804 +top5_acc 0.9975 +2025-07-02 02:43:31,605 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9804, top5_acc: 0.9975 +2025-07-02 02:44:13,874 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:15, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 02:44:31,850 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 02:44:49,456 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:38, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 02:45:07,003 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:19, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 02:45:24,917 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 02:45:42,587 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:46:00,310 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 02:46:17,761 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:05, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 02:46:35,995 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 02:47:12,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:47:12,760 - pyskl - INFO - +top1_acc 0.9809 +top5_acc 0.9975 +2025-07-02 02:47:12,761 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9809, top5_acc: 0.9975 +2025-07-02 02:47:55,284 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:28, time: 0.425, data_time: 0.242, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 02:48:13,168 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 02:48:31,242 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 02:48:48,805 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:32, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 02:49:06,736 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 02:49:24,194 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 02:49:41,948 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 02:49:59,874 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 02:50:17,950 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 02:50:54,932 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:50:54,955 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9972 +2025-07-02 02:50:54,956 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9802, top5_acc: 0.9972 +2025-07-02 02:51:02,636 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 02:54:38,058 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 02:54:38,058 - pyskl - INFO - top1_acc: 0.9825 +2025-07-02 02:54:38,058 - pyskl - INFO - top5_acc: 0.9979 +2025-07-02 02:54:38,059 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/j_1/best_top1_acc_epoch_142.pth +2025-07-02 02:58:05,805 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 02:58:05,805 - pyskl - INFO - top1_acc: 0.9823 +2025-07-02 02:58:05,805 - pyskl - INFO - top5_acc: 0.9978 diff --git a/pku_mmd_xview/j_1/20250701_173602.log.json b/pku_mmd_xview/j_1/20250701_173602.log.json new file mode 100644 index 0000000000000000000000000000000000000000..6a5b84b92b25a9bca8cc99d679e3a28490f6dad5 --- /dev/null +++ b/pku_mmd_xview/j_1/20250701_173602.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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-Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.12.0\nOpenCV: 4.8.0\nMMCV: 1.5.0\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.3\npyskl: 0.1.0+", "seed": 309531297, "config_name": "j_1.py", "work_dir": "j_1", "hook_msgs": {}} +{"mode": 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0.23847, "top1_acc": 0.6925, "top5_acc": 0.955, "loss_cls": 1.33817, "loss": 1.33817, "time": 0.41462} +{"mode": "train", "epoch": 4, "iter": 200, "lr": 0.02497, "memory": 2902, "data_time": 0.00023, "top1_acc": 0.71438, "top5_acc": 0.95562, "loss_cls": 1.27617, "loss": 1.27617, "time": 0.17033} +{"mode": "train", "epoch": 4, "iter": 300, "lr": 0.02497, "memory": 2902, "data_time": 0.00038, "top1_acc": 0.73125, "top5_acc": 0.95375, "loss_cls": 1.25721, "loss": 1.25721, "time": 0.17046} +{"mode": "train", "epoch": 4, "iter": 400, "lr": 0.02497, "memory": 2902, "data_time": 0.00023, "top1_acc": 0.72125, "top5_acc": 0.96312, "loss_cls": 1.23274, "loss": 1.23274, "time": 0.17128} +{"mode": "train", "epoch": 4, "iter": 500, "lr": 0.02497, "memory": 2902, "data_time": 0.00039, "top1_acc": 0.71062, "top5_acc": 0.96188, "loss_cls": 1.29107, "loss": 1.29107, "time": 0.17056} +{"mode": "train", "epoch": 4, "iter": 600, "lr": 0.02496, "memory": 2902, "data_time": 0.00028, "top1_acc": 0.72562, 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"iter": 450, "lr": 0.0, "top1_acc": 0.98024, "top5_acc": 0.99722} diff --git a/pku_mmd_xview/j_1/best_pred.pkl b/pku_mmd_xview/j_1/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..773f2a327bea4671a228e570511267f20b977978 --- /dev/null +++ b/pku_mmd_xview/j_1/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be98bfa7414f9ac4cf722f46a2067c253c616f3825dc492343aa62c0f5eb30e4 +size 2537090 diff --git a/pku_mmd_xview/j_1/best_top1_acc_epoch_150.pth b/pku_mmd_xview/j_1/best_top1_acc_epoch_150.pth new file mode 100644 index 0000000000000000000000000000000000000000..9fc90a440411ce36f5f34c93429bd7679a77482b --- /dev/null +++ b/pku_mmd_xview/j_1/best_top1_acc_epoch_150.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:80da8dc2b3b7a54247c11a92cf61076ac7df7bc7c5769283f9db39701f30f5eb +size 16576441 diff --git a/pku_mmd_xview/j_1/j_1.py b/pku_mmd_xview/j_1/j_1.py new file mode 100644 index 0000000000000000000000000000000000000000..818975eeda798732e610a0715d8db23f606311a6 --- /dev/null +++ b/pku_mmd_xview/j_1/j_1.py @@ -0,0 +1,98 @@ +modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/j_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/j_2/20250701_173531.log b/pku_mmd_xview/j_2/20250701_173531.log new file mode 100644 index 0000000000000000000000000000000000000000..dc9debe2629b954d25b3067afc52e7971993474f --- /dev/null +++ b/pku_mmd_xview/j_2/20250701_173531.log @@ -0,0 +1,2422 @@ +2025-07-01 17:35:31,587 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-01 17:35:31,893 - pyskl - INFO - Config: modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/j_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-01 17:35:31,893 - pyskl - INFO - Set random seed to 1092718816, deterministic: False +2025-07-01 17:35:36,744 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-01 17:35:44,391 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-01 17:35:44,391 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2 +2025-07-01 17:35:44,392 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-01 17:35:44,392 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-01 17:35:44,392 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2 by HardDiskBackend. +2025-07-01 17:36:25,964 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:32:30, time: 0.416, data_time: 0.237, memory: 2902, top1_acc: 0.0494, top5_acc: 0.2200, loss_cls: 4.2907, loss: 4.2907 +2025-07-01 17:36:43,492 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 11:02:21, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.1144, top5_acc: 0.4169, loss_cls: 3.9156, loss: 3.9156 +2025-07-01 17:37:00,783 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:30:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.1425, top5_acc: 0.5325, loss_cls: 3.5152, loss: 3.5152 +2025-07-01 17:37:18,041 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:44:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.2144, top5_acc: 0.6306, loss_cls: 3.1849, loss: 3.1849 +2025-07-01 17:37:35,143 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:15:23, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.2831, top5_acc: 0.7575, loss_cls: 2.8061, loss: 2.8061 +2025-07-01 17:37:52,337 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:56:33, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.3475, top5_acc: 0.8081, loss_cls: 2.5530, loss: 2.5530 +2025-07-01 17:38:09,336 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:42:24, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.3850, top5_acc: 0.8225, loss_cls: 2.4385, loss: 2.4385 +2025-07-01 17:38:26,282 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:31:34, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.4325, top5_acc: 0.8444, loss_cls: 2.3238, loss: 2.3238 +2025-07-01 17:38:43,779 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-01 17:39:20,717 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:39:20,739 - pyskl - INFO - +top1_acc 0.5449 +top5_acc 0.9306 +2025-07-01 17:39:20,906 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-01 17:39:20,906 - pyskl - INFO - Best top1_acc is 0.5449 at 1 epoch. +2025-07-01 17:39:20,908 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.5449, top5_acc: 0.9306 +2025-07-01 17:40:02,410 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:34:06, time: 0.415, data_time: 0.241, memory: 2902, top1_acc: 0.5088, top5_acc: 0.8912, loss_cls: 2.0110, loss: 2.0110 +2025-07-01 17:40:20,025 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:28:09, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5206, top5_acc: 0.8950, loss_cls: 1.9982, loss: 1.9982 +2025-07-01 17:40:37,413 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:22:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5487, top5_acc: 0.9219, loss_cls: 1.8383, loss: 1.8383 +2025-07-01 17:40:54,739 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:18:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5300, top5_acc: 0.9050, loss_cls: 1.8920, loss: 1.8920 +2025-07-01 17:41:11,996 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:13:47, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5606, top5_acc: 0.9206, loss_cls: 1.7951, loss: 1.7951 +2025-07-01 17:41:29,279 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:10:08, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5756, top5_acc: 0.9225, loss_cls: 1.7634, loss: 1.7634 +2025-07-01 17:41:46,971 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:07:28, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6056, top5_acc: 0.9206, loss_cls: 1.6681, loss: 1.6681 +2025-07-01 17:42:04,338 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:04:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6181, top5_acc: 0.9306, loss_cls: 1.6654, loss: 1.6654 +2025-07-01 17:42:22,246 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-01 17:42:59,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:42:59,632 - pyskl - INFO - +top1_acc 0.6709 +top5_acc 0.9654 +2025-07-01 17:42:59,636 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_1.pth was removed +2025-07-01 17:42:59,820 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-01 17:42:59,820 - pyskl - INFO - Best top1_acc is 0.6709 at 2 epoch. +2025-07-01 17:42:59,822 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.6709, top5_acc: 0.9654 +2025-07-01 17:43:42,078 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:09:04, time: 0.423, data_time: 0.248, memory: 2902, top1_acc: 0.6356, top5_acc: 0.9350, loss_cls: 1.6157, loss: 1.6157 +2025-07-01 17:43:59,835 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:06:57, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.6519, top5_acc: 0.9419, loss_cls: 1.5289, loss: 1.5289 +2025-07-01 17:44:17,715 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:05:07, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.6475, top5_acc: 0.9481, loss_cls: 1.5278, loss: 1.5278 +2025-07-01 17:44:35,443 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:03:17, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6456, top5_acc: 0.9363, loss_cls: 1.5530, loss: 1.5530 +2025-07-01 17:44:53,031 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:01:27, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6462, top5_acc: 0.9431, loss_cls: 1.5115, loss: 1.5115 +2025-07-01 17:45:10,194 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:59:21, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6625, top5_acc: 0.9463, loss_cls: 1.4626, loss: 1.4626 +2025-07-01 17:45:27,811 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:57:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6813, top5_acc: 0.9575, loss_cls: 1.3890, loss: 1.3890 +2025-07-01 17:45:45,272 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:56:12, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6837, top5_acc: 0.9456, loss_cls: 1.4328, loss: 1.4328 +2025-07-01 17:46:03,302 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-01 17:46:41,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:46:41,193 - pyskl - INFO - +top1_acc 0.7358 +top5_acc 0.9699 +2025-07-01 17:46:41,197 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_2.pth was removed +2025-07-01 17:46:41,365 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-01 17:46:41,365 - pyskl - INFO - Best top1_acc is 0.7358 at 3 epoch. +2025-07-01 17:46:41,367 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7358, top5_acc: 0.9699 +2025-07-01 17:47:23,126 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:58:59, time: 0.418, data_time: 0.242, memory: 2902, top1_acc: 0.6800, top5_acc: 0.9513, loss_cls: 1.4034, loss: 1.4034 +2025-07-01 17:47:40,290 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:57:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6881, top5_acc: 0.9469, loss_cls: 1.4181, loss: 1.4181 +2025-07-01 17:47:57,799 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:55:49, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6637, top5_acc: 0.9437, loss_cls: 1.4876, loss: 1.4876 +2025-07-01 17:48:14,848 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:54:09, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.6975, top5_acc: 0.9400, loss_cls: 1.4087, loss: 1.4087 +2025-07-01 17:48:31,798 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:52:31, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.7000, top5_acc: 0.9506, loss_cls: 1.3252, loss: 1.3252 +2025-07-01 17:48:48,825 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:51:01, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7037, top5_acc: 0.9581, loss_cls: 1.3269, loss: 1.3269 +2025-07-01 17:49:06,260 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:49:50, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7438, top5_acc: 0.9644, loss_cls: 1.2014, loss: 1.2014 +2025-07-01 17:49:23,427 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:48:33, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7219, top5_acc: 0.9550, loss_cls: 1.2909, loss: 1.2909 +2025-07-01 17:49:41,128 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-01 17:50:18,450 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:50:18,474 - pyskl - INFO - +top1_acc 0.7896 +top5_acc 0.9823 +2025-07-01 17:50:18,478 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_3.pth was removed +2025-07-01 17:50:18,649 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-01 17:50:18,649 - pyskl - INFO - Best top1_acc is 0.7896 at 4 epoch. +2025-07-01 17:50:18,651 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7896, top5_acc: 0.9823 +2025-07-01 17:51:00,143 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:50:35, time: 0.415, data_time: 0.242, memory: 2902, top1_acc: 0.7300, top5_acc: 0.9556, loss_cls: 1.2388, loss: 1.2388 +2025-07-01 17:51:17,299 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:49:20, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7350, top5_acc: 0.9550, loss_cls: 1.2542, loss: 1.2542 +2025-07-01 17:51:34,449 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:48:07, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7275, top5_acc: 0.9663, loss_cls: 1.2173, loss: 1.2173 +2025-07-01 17:51:51,750 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:47:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7475, top5_acc: 0.9694, loss_cls: 1.1572, loss: 1.1572 +2025-07-01 17:52:09,365 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:46:09, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7581, top5_acc: 0.9637, loss_cls: 1.1631, loss: 1.1631 +2025-07-01 17:52:26,412 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:45:00, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7362, top5_acc: 0.9663, loss_cls: 1.2016, loss: 1.2016 +2025-07-01 17:52:43,553 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:43:56, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7294, top5_acc: 0.9619, loss_cls: 1.2364, loss: 1.2364 +2025-07-01 17:53:00,861 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:43:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7238, top5_acc: 0.9613, loss_cls: 1.2322, loss: 1.2322 +2025-07-01 17:53:18,697 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-01 17:53:55,781 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:53:55,809 - pyskl - INFO - +top1_acc 0.8098 +top5_acc 0.9825 +2025-07-01 17:53:55,813 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_4.pth was removed +2025-07-01 17:53:56,010 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-01 17:53:56,010 - pyskl - INFO - Best top1_acc is 0.8098 at 5 epoch. +2025-07-01 17:53:56,012 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.8098, top5_acc: 0.9825 +2025-07-01 17:54:38,082 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:44:54, time: 0.421, data_time: 0.244, memory: 2902, top1_acc: 0.7469, top5_acc: 0.9594, loss_cls: 1.2229, loss: 1.2229 +2025-07-01 17:54:55,310 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:43:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7600, top5_acc: 0.9587, loss_cls: 1.1555, loss: 1.1555 +2025-07-01 17:55:12,493 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:42:57, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7762, top5_acc: 0.9675, loss_cls: 1.0693, loss: 1.0693 +2025-07-01 17:55:29,480 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:41:55, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7837, top5_acc: 0.9663, loss_cls: 1.0815, loss: 1.0815 +2025-07-01 17:55:46,455 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:40:55, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7594, top5_acc: 0.9625, loss_cls: 1.1383, loss: 1.1383 +2025-07-01 17:56:03,574 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:40:00, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7512, top5_acc: 0.9631, loss_cls: 1.1301, loss: 1.1301 +2025-07-01 17:56:20,689 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:39:06, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9806, loss_cls: 1.0023, loss: 1.0023 +2025-07-01 17:56:38,141 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:38:23, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7550, top5_acc: 0.9694, loss_cls: 1.1085, loss: 1.1085 +2025-07-01 17:56:55,665 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-01 17:57:32,108 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:57:32,131 - pyskl - INFO - +top1_acc 0.8344 +top5_acc 0.9862 +2025-07-01 17:57:32,135 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_5.pth was removed +2025-07-01 17:57:32,307 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-01 17:57:32,307 - pyskl - INFO - Best top1_acc is 0.8344 at 6 epoch. +2025-07-01 17:57:32,309 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8344, top5_acc: 0.9862 +2025-07-01 17:58:14,898 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:40:08, time: 0.426, data_time: 0.251, memory: 2902, top1_acc: 0.7744, top5_acc: 0.9775, loss_cls: 1.0192, loss: 1.0192 +2025-07-01 17:58:32,433 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:39:25, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9694, loss_cls: 1.0411, loss: 1.0411 +2025-07-01 17:58:49,868 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:38:41, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9712, loss_cls: 1.0320, loss: 1.0320 +2025-07-01 17:59:07,247 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:37:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9656, loss_cls: 1.0661, loss: 1.0661 +2025-07-01 17:59:24,776 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:37:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7750, top5_acc: 0.9688, loss_cls: 1.0442, loss: 1.0442 +2025-07-01 17:59:42,169 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:36:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7700, top5_acc: 0.9669, loss_cls: 1.0482, loss: 1.0482 +2025-07-01 17:59:59,532 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:35:51, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9731, loss_cls: 1.0378, loss: 1.0378 +2025-07-01 18:00:16,693 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:35:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9681, loss_cls: 1.0375, loss: 1.0375 +2025-07-01 18:00:34,337 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-01 18:01:12,311 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:01:12,334 - pyskl - INFO - +top1_acc 0.8361 +top5_acc 0.9811 +2025-07-01 18:01:12,338 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_6.pth was removed +2025-07-01 18:01:12,503 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-01 18:01:12,504 - pyskl - INFO - Best top1_acc is 0.8361 at 7 epoch. +2025-07-01 18:01:12,505 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8361, top5_acc: 0.9811 +2025-07-01 18:01:53,998 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:36:09, time: 0.415, data_time: 0.239, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9738, loss_cls: 0.9600, loss: 0.9600 +2025-07-01 18:02:11,912 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:35:38, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8019, top5_acc: 0.9650, loss_cls: 1.0011, loss: 1.0011 +2025-07-01 18:02:29,380 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:34:59, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7550, top5_acc: 0.9712, loss_cls: 1.0675, loss: 1.0675 +2025-07-01 18:02:46,654 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:34:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9725, loss_cls: 1.0554, loss: 1.0554 +2025-07-01 18:03:04,220 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:33:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9700, loss_cls: 1.0008, loss: 1.0008 +2025-07-01 18:03:21,495 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:33:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7856, top5_acc: 0.9706, loss_cls: 1.0076, loss: 1.0076 +2025-07-01 18:03:38,880 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:32:23, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7837, top5_acc: 0.9744, loss_cls: 1.0203, loss: 1.0203 +2025-07-01 18:03:56,248 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:31:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9744, loss_cls: 0.9950, loss: 0.9950 +2025-07-01 18:04:13,875 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-01 18:04:51,202 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:04:51,230 - pyskl - INFO - +top1_acc 0.8298 +top5_acc 0.9873 +2025-07-01 18:04:51,231 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8298, top5_acc: 0.9873 +2025-07-01 18:05:32,455 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:32:32, time: 0.412, data_time: 0.236, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9756, loss_cls: 0.9270, loss: 0.9270 +2025-07-01 18:05:50,340 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:32:03, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9769, loss_cls: 0.9531, loss: 0.9531 +2025-07-01 18:06:07,771 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:31:27, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9706, loss_cls: 0.9975, loss: 0.9975 +2025-07-01 18:06:25,161 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:30:50, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9712, loss_cls: 1.0121, loss: 1.0121 +2025-07-01 18:06:42,470 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:30:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9738, loss_cls: 0.9168, loss: 0.9168 +2025-07-01 18:07:00,106 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:29:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8025, top5_acc: 0.9694, loss_cls: 0.9577, loss: 0.9577 +2025-07-01 18:07:17,687 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:29:10, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9750, loss_cls: 0.9302, loss: 0.9302 +2025-07-01 18:07:35,132 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:28:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9675, loss_cls: 0.9709, loss: 0.9709 +2025-07-01 18:07:52,436 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-01 18:08:29,517 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:08:29,539 - pyskl - INFO - +top1_acc 0.8298 +top5_acc 0.9882 +2025-07-01 18:08:29,540 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8298, top5_acc: 0.9882 +2025-07-01 18:09:10,247 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:29:06, time: 0.407, data_time: 0.236, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9725, loss_cls: 0.9383, loss: 0.9383 +2025-07-01 18:09:27,731 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:28:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7987, top5_acc: 0.9731, loss_cls: 0.8982, loss: 0.8982 +2025-07-01 18:09:45,582 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:28:05, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9806, loss_cls: 0.8581, loss: 0.8581 +2025-07-01 18:10:03,069 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:27:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9775, loss_cls: 0.8977, loss: 0.8977 +2025-07-01 18:10:20,275 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:26:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9681, loss_cls: 0.9431, loss: 0.9431 +2025-07-01 18:10:37,577 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:26:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7719, top5_acc: 0.9719, loss_cls: 1.0104, loss: 1.0104 +2025-07-01 18:10:54,325 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:25:39, time: 0.167, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9788, loss_cls: 0.9133, loss: 0.9133 +2025-07-01 18:11:11,633 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:25:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8131, top5_acc: 0.9794, loss_cls: 0.8451, loss: 0.8451 +2025-07-01 18:11:29,375 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-01 18:12:06,590 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:12:06,619 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9868 +2025-07-01 18:12:06,625 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_7.pth was removed +2025-07-01 18:12:06,823 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-01 18:12:06,823 - pyskl - INFO - Best top1_acc is 0.8706 at 10 epoch. +2025-07-01 18:12:06,825 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8706, top5_acc: 0.9868 +2025-07-01 18:12:48,326 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:25:41, time: 0.415, data_time: 0.243, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9806, loss_cls: 0.8927, loss: 0.8927 +2025-07-01 18:13:05,904 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:25:11, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8269, top5_acc: 0.9756, loss_cls: 0.8805, loss: 0.8805 +2025-07-01 18:13:23,338 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:24:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9806, loss_cls: 0.8657, loss: 0.8657 +2025-07-01 18:13:40,944 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:24:10, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9719, loss_cls: 0.8778, loss: 0.8778 +2025-07-01 18:13:58,430 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:23:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9781, loss_cls: 0.8831, loss: 0.8831 +2025-07-01 18:14:15,797 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:23:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9750, loss_cls: 0.9169, loss: 0.9169 +2025-07-01 18:14:32,831 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:22:32, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9806, loss_cls: 0.8902, loss: 0.8902 +2025-07-01 18:14:50,344 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:22:03, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9762, loss_cls: 0.9230, loss: 0.9230 +2025-07-01 18:15:07,813 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-01 18:15:45,969 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:15:45,996 - pyskl - INFO - +top1_acc 0.8802 +top5_acc 0.9905 +2025-07-01 18:15:46,001 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_10.pth was removed +2025-07-01 18:15:46,193 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-01 18:15:46,193 - pyskl - INFO - Best top1_acc is 0.8802 at 11 epoch. +2025-07-01 18:15:46,195 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8802, top5_acc: 0.9905 +2025-07-01 18:16:27,311 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:22:26, time: 0.411, data_time: 0.238, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9806, loss_cls: 0.9009, loss: 0.9009 +2025-07-01 18:16:44,944 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:21:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8175, top5_acc: 0.9819, loss_cls: 0.8686, loss: 0.8686 +2025-07-01 18:17:02,599 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:21:31, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8094, top5_acc: 0.9788, loss_cls: 0.9305, loss: 0.9305 +2025-07-01 18:17:19,865 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:20:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 0.8604, loss: 0.8604 +2025-07-01 18:17:37,557 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:20:33, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9788, loss_cls: 0.7780, loss: 0.7780 +2025-07-01 18:17:54,717 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:20:00, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9762, loss_cls: 0.8777, loss: 0.8777 +2025-07-01 18:18:12,159 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:19:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9769, loss_cls: 0.8618, loss: 0.8618 +2025-07-01 18:18:29,745 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:19:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9719, loss_cls: 0.9305, loss: 0.9305 +2025-07-01 18:18:47,502 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-01 18:19:25,464 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:19:25,496 - pyskl - INFO - +top1_acc 0.8176 +top5_acc 0.9741 +2025-07-01 18:19:25,498 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8176, top5_acc: 0.9741 +2025-07-01 18:20:07,474 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:19:32, time: 0.420, data_time: 0.246, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9700, loss_cls: 0.9335, loss: 0.9335 +2025-07-01 18:20:24,769 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:19:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9775, loss_cls: 0.8395, loss: 0.8395 +2025-07-01 18:20:42,201 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:18:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8175, top5_acc: 0.9750, loss_cls: 0.8762, loss: 0.8762 +2025-07-01 18:20:59,606 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:18:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8106, top5_acc: 0.9744, loss_cls: 0.8795, loss: 0.8795 +2025-07-01 18:21:16,851 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:17:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9775, loss_cls: 0.7995, loss: 0.7995 +2025-07-01 18:21:33,858 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:16:59, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9806, loss_cls: 0.8232, loss: 0.8232 +2025-07-01 18:21:51,440 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:16:33, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9775, loss_cls: 0.8542, loss: 0.8542 +2025-07-01 18:22:08,599 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:16:02, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9750, loss_cls: 0.8728, loss: 0.8728 +2025-07-01 18:22:26,281 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-01 18:23:03,769 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:23:03,791 - pyskl - INFO - +top1_acc 0.8744 +top5_acc 0.9897 +2025-07-01 18:23:03,792 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8744, top5_acc: 0.9897 +2025-07-01 18:23:45,800 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:16:26, time: 0.420, data_time: 0.246, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9838, loss_cls: 0.8577, loss: 0.8577 +2025-07-01 18:24:03,329 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:15:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9838, loss_cls: 0.7776, loss: 0.7776 +2025-07-01 18:24:21,095 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:15:34, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9812, loss_cls: 0.8283, loss: 0.8283 +2025-07-01 18:24:38,664 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:15:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9819, loss_cls: 0.7990, loss: 0.7990 +2025-07-01 18:24:55,808 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:14:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8175, top5_acc: 0.9700, loss_cls: 0.8786, loss: 0.8786 +2025-07-01 18:25:13,077 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:14:08, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9750, loss_cls: 0.8506, loss: 0.8506 +2025-07-01 18:25:30,665 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:13:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 0.7440, loss: 0.7440 +2025-07-01 18:25:48,281 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:13:17, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9831, loss_cls: 0.8163, loss: 0.8163 +2025-07-01 18:26:06,080 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-01 18:26:44,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:26:44,361 - pyskl - INFO - +top1_acc 0.8838 +top5_acc 0.9926 +2025-07-01 18:26:44,365 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_11.pth was removed +2025-07-01 18:26:44,559 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2025-07-01 18:26:44,559 - pyskl - INFO - Best top1_acc is 0.8838 at 14 epoch. +2025-07-01 18:26:44,561 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8838, top5_acc: 0.9926 +2025-07-01 18:27:27,933 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:13:49, time: 0.434, data_time: 0.258, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9781, loss_cls: 0.7833, loss: 0.7833 +2025-07-01 18:27:45,222 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:13:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9844, loss_cls: 0.7524, loss: 0.7524 +2025-07-01 18:28:02,472 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:12:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 0.7645, loss: 0.7645 +2025-07-01 18:28:19,737 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:12:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9856, loss_cls: 0.7571, loss: 0.7571 +2025-07-01 18:28:36,820 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:11:52, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9769, loss_cls: 0.8321, loss: 0.8321 +2025-07-01 18:28:53,975 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:11:23, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9762, loss_cls: 0.8748, loss: 0.8748 +2025-07-01 18:29:11,009 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:10:52, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9800, loss_cls: 0.8009, loss: 0.8009 +2025-07-01 18:29:28,934 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:10:30, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9788, loss_cls: 0.8600, loss: 0.8600 +2025-07-01 18:29:46,412 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-01 18:30:24,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:30:24,590 - pyskl - INFO - +top1_acc 0.8776 +top5_acc 0.9903 +2025-07-01 18:30:24,591 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8776, top5_acc: 0.9903 +2025-07-01 18:31:07,338 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:10:52, time: 0.427, data_time: 0.253, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 0.6886, loss: 0.6886 +2025-07-01 18:31:25,037 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:10:27, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9812, loss_cls: 0.7908, loss: 0.7908 +2025-07-01 18:31:42,637 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:10:02, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 0.7647, loss: 0.7647 +2025-07-01 18:31:59,891 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:09:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9762, loss_cls: 0.7731, loss: 0.7731 +2025-07-01 18:32:17,150 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:09:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9788, loss_cls: 0.7938, loss: 0.7938 +2025-07-01 18:32:34,083 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:08:36, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9806, loss_cls: 0.8282, loss: 0.8282 +2025-07-01 18:32:51,373 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:08:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 0.7743, loss: 0.7743 +2025-07-01 18:33:08,726 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:07:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9738, loss_cls: 0.7937, loss: 0.7937 +2025-07-01 18:33:26,122 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-01 18:34:03,024 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:34:03,056 - pyskl - INFO - +top1_acc 0.8575 +top5_acc 0.9880 +2025-07-01 18:34:03,058 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8575, top5_acc: 0.9880 +2025-07-01 18:34:44,836 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:07:52, time: 0.418, data_time: 0.245, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9819, loss_cls: 0.7759, loss: 0.7759 +2025-07-01 18:35:02,107 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:07:24, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 0.7368, loss: 0.7368 +2025-07-01 18:35:20,263 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:07:04, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 0.6998, loss: 0.6998 +2025-07-01 18:35:37,364 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:06:36, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9750, loss_cls: 0.7955, loss: 0.7955 +2025-07-01 18:35:54,640 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:06:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9788, loss_cls: 0.7522, loss: 0.7522 +2025-07-01 18:36:12,060 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:05:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9769, loss_cls: 0.7957, loss: 0.7957 +2025-07-01 18:36:29,482 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:05:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9819, loss_cls: 0.7628, loss: 0.7628 +2025-07-01 18:36:46,669 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:04:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9800, loss_cls: 0.7843, loss: 0.7843 +2025-07-01 18:37:04,426 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-01 18:37:41,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:37:41,498 - pyskl - INFO - +top1_acc 0.8879 +top5_acc 0.9917 +2025-07-01 18:37:41,503 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_14.pth was removed +2025-07-01 18:37:41,699 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-07-01 18:37:41,700 - pyskl - INFO - Best top1_acc is 0.8879 at 17 epoch. +2025-07-01 18:37:41,705 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8879, top5_acc: 0.9917 +2025-07-01 18:38:24,853 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:05:08, time: 0.431, data_time: 0.259, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9812, loss_cls: 0.7955, loss: 0.7955 +2025-07-01 18:38:42,330 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:04:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9831, loss_cls: 0.7672, loss: 0.7672 +2025-07-01 18:38:59,696 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:04:17, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 0.7764, loss: 0.7764 +2025-07-01 18:39:17,197 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:03:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 0.7853, loss: 0.7853 +2025-07-01 18:39:34,177 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:03:23, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9862, loss_cls: 0.7631, loss: 0.7631 +2025-07-01 18:39:51,381 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:02:57, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6648, loss: 0.6648 +2025-07-01 18:40:08,751 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:02:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9856, loss_cls: 0.7252, loss: 0.7252 +2025-07-01 18:40:26,294 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:02:07, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9750, loss_cls: 0.7799, loss: 0.7799 +2025-07-01 18:40:44,233 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-01 18:41:21,199 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:41:21,221 - pyskl - INFO - +top1_acc 0.8646 +top5_acc 0.9905 +2025-07-01 18:41:21,222 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8646, top5_acc: 0.9905 +2025-07-01 18:42:04,306 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:02:20, time: 0.431, data_time: 0.260, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 0.7709, loss: 0.7709 +2025-07-01 18:42:21,417 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:01:53, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9812, loss_cls: 0.7727, loss: 0.7727 +2025-07-01 18:42:38,748 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:01:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9756, loss_cls: 0.7682, loss: 0.7682 +2025-07-01 18:42:56,052 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:01:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 0.7195, loss: 0.7195 +2025-07-01 18:43:13,697 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:00:38, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9819, loss_cls: 0.6861, loss: 0.6861 +2025-07-01 18:43:30,999 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:00:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9888, loss_cls: 0.6912, loss: 0.6912 +2025-07-01 18:43:48,233 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:59:47, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9819, loss_cls: 0.7573, loss: 0.7573 +2025-07-01 18:44:05,418 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:59:21, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9806, loss_cls: 0.7350, loss: 0.7350 +2025-07-01 18:44:23,435 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-01 18:45:01,077 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:45:01,100 - pyskl - INFO - +top1_acc 0.9032 +top5_acc 0.9935 +2025-07-01 18:45:01,104 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_17.pth was removed +2025-07-01 18:45:01,289 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-01 18:45:01,289 - pyskl - INFO - Best top1_acc is 0.9032 at 19 epoch. +2025-07-01 18:45:01,291 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.9032, top5_acc: 0.9935 +2025-07-01 18:45:42,716 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:59:20, time: 0.414, data_time: 0.242, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9888, loss_cls: 0.6376, loss: 0.6376 +2025-07-01 18:46:00,370 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:58:57, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 0.6548, loss: 0.6548 +2025-07-01 18:46:17,777 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:58:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 0.7202, loss: 0.7202 +2025-07-01 18:46:35,064 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:58:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9856, loss_cls: 0.7050, loss: 0.7050 +2025-07-01 18:46:52,493 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:57:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9831, loss_cls: 0.7504, loss: 0.7504 +2025-07-01 18:47:09,821 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:57:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9788, loss_cls: 0.7626, loss: 0.7626 +2025-07-01 18:47:26,852 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:56:51, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9869, loss_cls: 0.7116, loss: 0.7116 +2025-07-01 18:47:44,479 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:56:28, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9838, loss_cls: 0.7396, loss: 0.7396 +2025-07-01 18:48:02,152 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-01 18:48:39,547 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:48:39,574 - pyskl - INFO - +top1_acc 0.9062 +top5_acc 0.9923 +2025-07-01 18:48:39,580 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_19.pth was removed +2025-07-01 18:48:39,792 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-01 18:48:39,792 - pyskl - INFO - Best top1_acc is 0.9062 at 20 epoch. +2025-07-01 18:48:39,794 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.9062, top5_acc: 0.9923 +2025-07-01 18:49:21,214 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:56:25, time: 0.414, data_time: 0.242, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 0.7371, loss: 0.7371 +2025-07-01 18:49:38,861 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:56:02, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9825, loss_cls: 0.6850, loss: 0.6850 +2025-07-01 18:49:56,342 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:55:38, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 0.6859, loss: 0.6859 +2025-07-01 18:50:13,551 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:55:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9838, loss_cls: 0.6627, loss: 0.6627 +2025-07-01 18:50:31,031 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:54:49, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9812, loss_cls: 0.7292, loss: 0.7292 +2025-07-01 18:50:47,784 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:54:21, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9769, loss_cls: 0.7236, loss: 0.7236 +2025-07-01 18:51:04,731 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:53:55, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9819, loss_cls: 0.7210, loss: 0.7210 +2025-07-01 18:51:22,048 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:53:30, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 0.6993, loss: 0.6993 +2025-07-01 18:51:40,089 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-01 18:52:17,125 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:52:17,149 - pyskl - INFO - +top1_acc 0.8671 +top5_acc 0.9890 +2025-07-01 18:52:17,150 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8671, top5_acc: 0.9890 +2025-07-01 18:53:01,394 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:53:43, time: 0.442, data_time: 0.271, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9812, loss_cls: 0.6640, loss: 0.6640 +2025-07-01 18:53:18,895 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:53:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.5960, loss: 0.5960 +2025-07-01 18:53:36,121 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:52:54, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 0.6875, loss: 0.6875 +2025-07-01 18:53:53,280 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:52:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 0.7006, loss: 0.7006 +2025-07-01 18:54:10,495 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:52:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9894, loss_cls: 0.7001, loss: 0.7001 +2025-07-01 18:54:27,555 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:51:38, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9850, loss_cls: 0.7237, loss: 0.7237 +2025-07-01 18:54:44,949 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:51:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9856, loss_cls: 0.6857, loss: 0.6857 +2025-07-01 18:55:02,031 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:50:49, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 0.6983, loss: 0.6983 +2025-07-01 18:55:20,185 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-01 18:55:56,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:55:56,945 - pyskl - INFO - +top1_acc 0.9076 +top5_acc 0.9915 +2025-07-01 18:55:56,950 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_20.pth was removed +2025-07-01 18:55:57,143 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-07-01 18:55:57,144 - pyskl - INFO - Best top1_acc is 0.9076 at 22 epoch. +2025-07-01 18:55:57,145 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.9076, top5_acc: 0.9915 +2025-07-01 18:56:39,591 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:50:49, time: 0.424, data_time: 0.251, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9900, loss_cls: 0.6415, loss: 0.6415 +2025-07-01 18:56:57,068 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:50:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9875, loss_cls: 0.6969, loss: 0.6969 +2025-07-01 18:57:14,619 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:50:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9888, loss_cls: 0.7171, loss: 0.7171 +2025-07-01 18:57:32,258 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:49:41, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9762, loss_cls: 0.7761, loss: 0.7761 +2025-07-01 18:57:49,918 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:49:19, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9800, loss_cls: 0.6783, loss: 0.6783 +2025-07-01 18:58:07,203 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:48:55, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9900, loss_cls: 0.6377, loss: 0.6377 +2025-07-01 18:58:25,088 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:48:34, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 0.6868, loss: 0.6868 +2025-07-01 18:58:42,481 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:48:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9894, loss_cls: 0.6175, loss: 0.6175 +2025-07-01 18:59:00,640 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-01 18:59:37,726 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:59:37,749 - pyskl - INFO - +top1_acc 0.9047 +top5_acc 0.9929 +2025-07-01 18:59:37,750 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.9047, top5_acc: 0.9929 +2025-07-01 19:00:19,458 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:48:04, time: 0.417, data_time: 0.245, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9838, loss_cls: 0.6605, loss: 0.6605 +2025-07-01 19:00:36,824 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:47:41, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 0.6365, loss: 0.6365 +2025-07-01 19:00:54,480 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:47:19, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.6689, loss: 0.6689 +2025-07-01 19:01:11,986 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:46:56, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9788, loss_cls: 0.7193, loss: 0.7193 +2025-07-01 19:01:29,407 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:46:33, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9806, loss_cls: 0.6527, loss: 0.6527 +2025-07-01 19:01:46,595 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:46:09, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 0.6489, loss: 0.6489 +2025-07-01 19:02:03,722 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:45:44, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9850, loss_cls: 0.6721, loss: 0.6721 +2025-07-01 19:02:21,005 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:45:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9806, loss_cls: 0.7240, loss: 0.7240 +2025-07-01 19:02:38,920 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-01 19:03:15,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:03:16,021 - pyskl - INFO - +top1_acc 0.9257 +top5_acc 0.9947 +2025-07-01 19:03:16,026 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_22.pth was removed +2025-07-01 19:03:16,228 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-01 19:03:16,229 - pyskl - INFO - Best top1_acc is 0.9257 at 24 epoch. +2025-07-01 19:03:16,231 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9257, top5_acc: 0.9947 +2025-07-01 19:03:57,897 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:45:13, time: 0.417, data_time: 0.243, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 0.6554, loss: 0.6554 +2025-07-01 19:04:15,258 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:44:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9838, loss_cls: 0.6296, loss: 0.6296 +2025-07-01 19:04:32,801 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:44:27, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9900, loss_cls: 0.6077, loss: 0.6077 +2025-07-01 19:04:50,476 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:44:05, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 0.6688, loss: 0.6688 +2025-07-01 19:05:08,092 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:43:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 0.6625, loss: 0.6625 +2025-07-01 19:05:25,372 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:43:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 0.6642, loss: 0.6642 +2025-07-01 19:05:42,651 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:42:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9875, loss_cls: 0.6818, loss: 0.6818 +2025-07-01 19:06:00,038 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:42:34, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 0.6856, loss: 0.6856 +2025-07-01 19:06:17,721 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-01 19:06:54,515 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:06:54,538 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9940 +2025-07-01 19:06:54,539 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8905, top5_acc: 0.9940 +2025-07-01 19:07:36,549 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:42:26, time: 0.420, data_time: 0.247, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9881, loss_cls: 0.5751, loss: 0.5751 +2025-07-01 19:07:53,881 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:42:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 0.5880, loss: 0.5880 +2025-07-01 19:08:11,359 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:41:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.6081, loss: 0.6081 +2025-07-01 19:08:29,080 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:41:19, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 0.7518, loss: 0.7518 +2025-07-01 19:08:47,019 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:40:59, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9844, loss_cls: 0.6476, loss: 0.6476 +2025-07-01 19:09:04,278 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:40:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 0.6064, loss: 0.6064 +2025-07-01 19:09:21,785 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:40:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9812, loss_cls: 0.6654, loss: 0.6654 +2025-07-01 19:09:39,822 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:39:54, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9806, loss_cls: 0.7230, loss: 0.7230 +2025-07-01 19:09:57,786 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-01 19:10:35,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:10:35,760 - pyskl - INFO - +top1_acc 0.8979 +top5_acc 0.9911 +2025-07-01 19:10:35,761 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.8979, top5_acc: 0.9911 +2025-07-01 19:11:17,303 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:39:43, time: 0.415, data_time: 0.242, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9806, loss_cls: 0.6824, loss: 0.6824 +2025-07-01 19:11:34,655 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:39:20, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 0.6769, loss: 0.6769 +2025-07-01 19:11:52,232 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:38:58, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 0.6779, loss: 0.6779 +2025-07-01 19:12:09,733 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:38:36, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5929, loss: 0.5929 +2025-07-01 19:12:27,161 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:38:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9900, loss_cls: 0.6098, loss: 0.6098 +2025-07-01 19:12:44,307 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:37:50, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6274, loss: 0.6274 +2025-07-01 19:13:01,368 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:37:26, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 0.6246, loss: 0.6246 +2025-07-01 19:13:18,946 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:37:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 0.6525, loss: 0.6525 +2025-07-01 19:13:36,367 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-01 19:14:12,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:14:12,631 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9951 +2025-07-01 19:14:12,633 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.9238, top5_acc: 0.9951 +2025-07-01 19:14:54,038 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:36:52, time: 0.414, data_time: 0.242, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 0.6198, loss: 0.6198 +2025-07-01 19:15:11,532 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:36:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 0.6475, loss: 0.6475 +2025-07-01 19:15:28,867 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:36:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 0.6589, loss: 0.6589 +2025-07-01 19:15:46,233 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:35:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.5821, loss: 0.5821 +2025-07-01 19:16:03,819 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:35:23, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 0.6830, loss: 0.6830 +2025-07-01 19:16:21,417 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:35:01, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9881, loss_cls: 0.6272, loss: 0.6272 +2025-07-01 19:16:38,552 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:34:38, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9912, loss_cls: 0.6254, loss: 0.6254 +2025-07-01 19:16:55,912 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:34:16, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 0.6387, loss: 0.6387 +2025-07-01 19:17:13,537 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-01 19:17:50,155 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:17:50,179 - pyskl - INFO - +top1_acc 0.8813 +top5_acc 0.9896 +2025-07-01 19:17:50,180 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8813, top5_acc: 0.9896 +2025-07-01 19:18:31,940 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:34:03, time: 0.418, data_time: 0.245, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9906, loss_cls: 0.5905, loss: 0.5905 +2025-07-01 19:18:49,413 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:33:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9900, loss_cls: 0.6241, loss: 0.6241 +2025-07-01 19:19:06,810 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:33:19, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5991, loss: 0.5991 +2025-07-01 19:19:24,069 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:32:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9812, loss_cls: 0.6573, loss: 0.6573 +2025-07-01 19:19:41,538 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:32:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6112, loss: 0.6112 +2025-07-01 19:19:58,634 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:32:11, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9862, loss_cls: 0.6277, loss: 0.6277 +2025-07-01 19:20:15,954 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:31:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 0.6311, loss: 0.6311 +2025-07-01 19:20:33,104 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:31:26, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9888, loss_cls: 0.6315, loss: 0.6315 +2025-07-01 19:20:50,799 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-01 19:21:27,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:21:27,738 - pyskl - INFO - +top1_acc 0.8721 +top5_acc 0.9917 +2025-07-01 19:21:27,739 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.8721, top5_acc: 0.9917 +2025-07-01 19:22:09,595 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:31:13, time: 0.419, data_time: 0.238, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9844, loss_cls: 0.7210, loss: 0.7210 +2025-07-01 19:22:27,431 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:30:53, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.9006, top5_acc: 0.9875, loss_cls: 0.5337, loss: 0.5337 +2025-07-01 19:22:45,534 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:30:34, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5440, loss: 0.5440 +2025-07-01 19:23:03,791 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:30:15, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9806, loss_cls: 0.6321, loss: 0.6321 +2025-07-01 19:23:22,134 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:29:57, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9862, loss_cls: 0.6763, loss: 0.6763 +2025-07-01 19:23:40,160 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:29:38, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9881, loss_cls: 0.6229, loss: 0.6229 +2025-07-01 19:23:58,379 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:29:19, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9919, loss_cls: 0.5987, loss: 0.5987 +2025-07-01 19:24:16,486 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:29:00, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 0.6266, loss: 0.6266 +2025-07-01 19:24:35,195 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-01 19:25:11,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:25:11,653 - pyskl - INFO - +top1_acc 0.9282 +top5_acc 0.9928 +2025-07-01 19:25:11,657 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_24.pth was removed +2025-07-01 19:25:11,822 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-01 19:25:11,823 - pyskl - INFO - Best top1_acc is 0.9282 at 30 epoch. +2025-07-01 19:25:11,824 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.9282, top5_acc: 0.9928 +2025-07-01 19:25:54,274 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:28:48, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9862, loss_cls: 0.6513, loss: 0.6513 +2025-07-01 19:26:12,227 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:28:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9906, loss_cls: 0.6338, loss: 0.6338 +2025-07-01 19:26:30,273 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:28:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9844, loss_cls: 0.6708, loss: 0.6708 +2025-07-01 19:26:48,463 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:27:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 0.6765, loss: 0.6765 +2025-07-01 19:27:06,402 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:27:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6389, loss: 0.6389 +2025-07-01 19:27:24,088 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:27:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6869, loss: 0.6869 +2025-07-01 19:27:42,026 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:26:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6915, loss: 0.6915 +2025-07-01 19:28:00,075 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:26:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9875, loss_cls: 0.6804, loss: 0.6804 +2025-07-01 19:28:18,497 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-01 19:28:55,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:28:55,938 - pyskl - INFO - +top1_acc 0.8963 +top5_acc 0.9912 +2025-07-01 19:28:55,939 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8963, top5_acc: 0.9912 +2025-07-01 19:29:38,562 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:26:18, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 0.7022, loss: 0.7022 +2025-07-01 19:29:56,453 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:25:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 0.6367, loss: 0.6367 +2025-07-01 19:30:14,547 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:25:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 0.6384, loss: 0.6384 +2025-07-01 19:30:32,378 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:25:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9819, loss_cls: 0.6755, loss: 0.6755 +2025-07-01 19:30:51,061 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:25:02, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9900, loss_cls: 0.6502, loss: 0.6502 +2025-07-01 19:31:09,001 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:24:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9800, loss_cls: 0.6999, loss: 0.6999 +2025-07-01 19:31:27,247 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:24:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 0.6747, loss: 0.6747 +2025-07-01 19:31:45,342 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:24:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.5988, loss: 0.5988 +2025-07-01 19:32:04,046 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-01 19:32:41,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:32:41,038 - pyskl - INFO - +top1_acc 0.9084 +top5_acc 0.9926 +2025-07-01 19:32:41,039 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.9084, top5_acc: 0.9926 +2025-07-01 19:33:23,882 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:23:52, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 0.6823, loss: 0.6823 +2025-07-01 19:33:41,875 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:23:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 0.6149, loss: 0.6149 +2025-07-01 19:33:59,964 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:23:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6032, loss: 0.6032 +2025-07-01 19:34:18,223 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:22:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.5774, loss: 0.5774 +2025-07-01 19:34:36,551 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:22:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.5873, loss: 0.5873 +2025-07-01 19:34:54,763 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:22:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 0.6695, loss: 0.6695 +2025-07-01 19:35:12,973 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:21:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9869, loss_cls: 0.7115, loss: 0.7115 +2025-07-01 19:35:30,875 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:21:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9906, loss_cls: 0.6475, loss: 0.6475 +2025-07-01 19:35:49,268 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-01 19:36:25,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:36:25,689 - pyskl - INFO - +top1_acc 0.9260 +top5_acc 0.9947 +2025-07-01 19:36:25,690 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.9260, top5_acc: 0.9947 +2025-07-01 19:37:08,174 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:21:23, time: 0.425, data_time: 0.238, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 0.6745, loss: 0.6745 +2025-07-01 19:37:26,218 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:21:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 0.6156, loss: 0.6156 +2025-07-01 19:37:44,741 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:20:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5883, loss: 0.5883 +2025-07-01 19:38:03,117 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:20:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9869, loss_cls: 0.6063, loss: 0.6063 +2025-07-01 19:38:21,476 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:20:09, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.6155, loss: 0.6155 +2025-07-01 19:38:39,435 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:19:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9900, loss_cls: 0.6763, loss: 0.6763 +2025-07-01 19:38:57,573 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:19:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 0.6281, loss: 0.6281 +2025-07-01 19:39:15,568 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:19:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9919, loss_cls: 0.5950, loss: 0.5950 +2025-07-01 19:39:34,162 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-01 19:40:10,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:40:10,461 - pyskl - INFO - +top1_acc 0.9214 +top5_acc 0.9951 +2025-07-01 19:40:10,462 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9214, top5_acc: 0.9951 +2025-07-01 19:40:52,730 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:18:54, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.6486, loss: 0.6486 +2025-07-01 19:41:10,703 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:18:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9844, loss_cls: 0.6207, loss: 0.6207 +2025-07-01 19:41:28,816 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:18:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 0.6111, loss: 0.6111 +2025-07-01 19:41:47,925 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:17:59, time: 0.191, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9869, loss_cls: 0.5802, loss: 0.5802 +2025-07-01 19:42:06,244 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:17:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9919, loss_cls: 0.6006, loss: 0.6006 +2025-07-01 19:42:24,661 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:17:22, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9894, loss_cls: 0.6796, loss: 0.6796 +2025-07-01 19:42:42,351 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:17:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 0.5763, loss: 0.5763 +2025-07-01 19:43:00,449 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:16:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 0.6013, loss: 0.6013 +2025-07-01 19:43:18,688 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-01 19:43:56,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:43:56,113 - pyskl - INFO - +top1_acc 0.9075 +top5_acc 0.9922 +2025-07-01 19:43:56,114 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9075, top5_acc: 0.9922 +2025-07-01 19:44:38,137 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:16:24, time: 0.420, data_time: 0.235, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6570, loss: 0.6570 +2025-07-01 19:44:56,067 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:16:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9900, loss_cls: 0.6021, loss: 0.6021 +2025-07-01 19:45:13,871 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:15:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9881, loss_cls: 0.5593, loss: 0.5593 +2025-07-01 19:45:32,173 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:15:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.6199, loss: 0.6199 +2025-07-01 19:45:50,091 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:15:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5703, loss: 0.5703 +2025-07-01 19:46:07,683 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:14:44, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9844, loss_cls: 0.6920, loss: 0.6920 +2025-07-01 19:46:25,371 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:14:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5881, loss: 0.5881 +2025-07-01 19:46:43,275 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:14:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9906, loss_cls: 0.6477, loss: 0.6477 +2025-07-01 19:47:01,698 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-01 19:47:38,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:47:38,617 - pyskl - INFO - +top1_acc 0.9293 +top5_acc 0.9947 +2025-07-01 19:47:38,621 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_30.pth was removed +2025-07-01 19:47:38,806 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. +2025-07-01 19:47:38,806 - pyskl - INFO - Best top1_acc is 0.9293 at 36 epoch. +2025-07-01 19:47:38,808 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9293, top5_acc: 0.9947 +2025-07-01 19:48:21,294 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:13:46, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9875, loss_cls: 0.5526, loss: 0.5526 +2025-07-01 19:48:38,957 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:13:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5612, loss: 0.5612 +2025-07-01 19:48:57,171 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:13:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.6064, loss: 0.6064 +2025-07-01 19:49:15,195 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:12:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4957, loss: 0.4957 +2025-07-01 19:49:33,164 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:12:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5634, loss: 0.5634 +2025-07-01 19:49:50,973 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:12:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 0.6166, loss: 0.6166 +2025-07-01 19:50:08,456 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:11:46, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 0.6288, loss: 0.6288 +2025-07-01 19:50:26,382 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:11:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6552, loss: 0.6552 +2025-07-01 19:50:44,656 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-01 19:51:21,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:51:21,036 - pyskl - INFO - +top1_acc 0.9160 +top5_acc 0.9935 +2025-07-01 19:51:21,038 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9160, top5_acc: 0.9935 +2025-07-01 19:52:03,545 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:11:08, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9925, loss_cls: 0.5555, loss: 0.5555 +2025-07-01 19:52:21,628 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:10:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9912, loss_cls: 0.6098, loss: 0.6098 +2025-07-01 19:52:39,416 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:10:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5978, loss: 0.5978 +2025-07-01 19:52:57,783 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:10:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9850, loss_cls: 0.5897, loss: 0.5897 +2025-07-01 19:53:16,471 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:09:52, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5756, loss: 0.5756 +2025-07-01 19:53:34,173 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:09:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9850, loss_cls: 0.6100, loss: 0.6100 +2025-07-01 19:53:51,930 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:09:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5881, loss: 0.5881 +2025-07-01 19:54:09,813 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:08:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9844, loss_cls: 0.5996, loss: 0.5996 +2025-07-01 19:54:27,954 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-01 19:55:04,326 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:55:04,355 - pyskl - INFO - +top1_acc 0.9391 +top5_acc 0.9955 +2025-07-01 19:55:04,360 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_36.pth was removed +2025-07-01 19:55:04,559 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. +2025-07-01 19:55:04,560 - pyskl - INFO - Best top1_acc is 0.9391 at 38 epoch. +2025-07-01 19:55:04,561 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9391, top5_acc: 0.9955 +2025-07-01 19:55:47,158 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:08:33, time: 0.426, data_time: 0.238, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9912, loss_cls: 0.6190, loss: 0.6190 +2025-07-01 19:56:05,095 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:08:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 0.5779, loss: 0.5779 +2025-07-01 19:56:23,390 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:07:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5708, loss: 0.5708 +2025-07-01 19:56:41,507 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:07:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9875, loss_cls: 0.6153, loss: 0.6153 +2025-07-01 19:56:59,468 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:07:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5780, loss: 0.5780 +2025-07-01 19:57:17,336 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:06:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 0.6150, loss: 0.6150 +2025-07-01 19:57:35,465 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:06:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.6012, loss: 0.6012 +2025-07-01 19:57:53,456 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:06:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5730, loss: 0.5730 +2025-07-01 19:58:11,879 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-01 19:58:48,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:58:48,819 - pyskl - INFO - +top1_acc 0.9082 +top5_acc 0.9926 +2025-07-01 19:58:48,820 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9082, top5_acc: 0.9926 +2025-07-01 19:59:31,461 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:05:57, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 0.6004, loss: 0.6004 +2025-07-01 19:59:49,273 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:05:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9944, loss_cls: 0.5121, loss: 0.5121 +2025-07-01 20:00:07,612 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:05:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.5209, loss: 0.5209 +2025-07-01 20:00:25,505 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:04:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 0.6175, loss: 0.6175 +2025-07-01 20:00:43,485 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:04:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9856, loss_cls: 0.6167, loss: 0.6167 +2025-07-01 20:01:01,245 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:04:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9869, loss_cls: 0.6243, loss: 0.6243 +2025-07-01 20:01:19,203 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:03:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.5776, loss: 0.5776 +2025-07-01 20:01:37,317 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:03:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9931, loss_cls: 0.5867, loss: 0.5867 +2025-07-01 20:01:55,562 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-01 20:02:31,950 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:02:31,979 - pyskl - INFO - +top1_acc 0.9270 +top5_acc 0.9946 +2025-07-01 20:02:31,981 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9270, top5_acc: 0.9946 +2025-07-01 20:03:14,023 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:03:18, time: 0.420, data_time: 0.235, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6553, loss: 0.6553 +2025-07-01 20:03:32,283 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:02:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.5010, loss: 0.5010 +2025-07-01 20:03:50,194 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:02:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9850, loss_cls: 0.6121, loss: 0.6121 +2025-07-01 20:04:08,458 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:02:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5741, loss: 0.5741 +2025-07-01 20:04:26,292 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:02:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5414, loss: 0.5414 +2025-07-01 20:04:43,886 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:01:40, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5992, loss: 0.5992 +2025-07-01 20:05:01,703 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:01:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9862, loss_cls: 0.5553, loss: 0.5553 +2025-07-01 20:05:19,791 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:01:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.5866, loss: 0.5866 +2025-07-01 20:05:38,203 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-01 20:06:15,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:06:15,334 - pyskl - INFO - +top1_acc 0.8906 +top5_acc 0.9936 +2025-07-01 20:06:15,335 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.8906, top5_acc: 0.9936 +2025-07-01 20:06:58,539 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:00:41, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5459, loss: 0.5459 +2025-07-01 20:07:16,390 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:00:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4816, loss: 0.4816 +2025-07-01 20:07:34,280 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:00:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5303, loss: 0.5303 +2025-07-01 20:07:52,450 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:59:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9844, loss_cls: 0.5969, loss: 0.5969 +2025-07-01 20:08:10,733 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:59:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5763, loss: 0.5763 +2025-07-01 20:08:28,899 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:59:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9875, loss_cls: 0.5491, loss: 0.5491 +2025-07-01 20:08:46,606 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:58:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.5051, loss: 0.5051 +2025-07-01 20:09:04,553 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:58:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5477, loss: 0.5477 +2025-07-01 20:09:22,939 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-01 20:10:00,934 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:10:00,959 - pyskl - INFO - +top1_acc 0.9428 +top5_acc 0.9937 +2025-07-01 20:10:00,963 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_38.pth was removed +2025-07-01 20:10:01,174 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. +2025-07-01 20:10:01,175 - pyskl - INFO - Best top1_acc is 0.9428 at 42 epoch. +2025-07-01 20:10:01,177 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9428, top5_acc: 0.9937 +2025-07-01 20:10:43,927 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:58:04, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.5189, loss: 0.5189 +2025-07-01 20:11:02,039 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:57:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9950, loss_cls: 0.4977, loss: 0.4977 +2025-07-01 20:11:20,286 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:57:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9881, loss_cls: 0.6347, loss: 0.6347 +2025-07-01 20:11:38,064 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:57:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.5239, loss: 0.5239 +2025-07-01 20:11:55,970 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:56:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 0.5532, loss: 0.5532 +2025-07-01 20:12:14,167 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:56:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9894, loss_cls: 0.5462, loss: 0.5462 +2025-07-01 20:12:31,995 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:56:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 0.5805, loss: 0.5805 +2025-07-01 20:12:50,093 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:55:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5250, loss: 0.5250 +2025-07-01 20:13:08,341 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-01 20:13:45,476 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:13:45,500 - pyskl - INFO - +top1_acc 0.9310 +top5_acc 0.9946 +2025-07-01 20:13:45,501 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9310, top5_acc: 0.9946 +2025-07-01 20:14:28,012 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:55:25, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5210, loss: 0.5210 +2025-07-01 20:14:45,739 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:55:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.6117, loss: 0.6117 +2025-07-01 20:15:03,643 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:54:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9912, loss_cls: 0.5654, loss: 0.5654 +2025-07-01 20:15:21,841 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:54:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5297, loss: 0.5297 +2025-07-01 20:15:39,781 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:54:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5314, loss: 0.5314 +2025-07-01 20:15:57,796 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:53:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9831, loss_cls: 0.5871, loss: 0.5871 +2025-07-01 20:16:15,528 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:53:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 0.5311, loss: 0.5311 +2025-07-01 20:16:33,648 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:53:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.5042, loss: 0.5042 +2025-07-01 20:16:51,989 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-01 20:17:29,042 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:17:29,065 - pyskl - INFO - +top1_acc 0.9199 +top5_acc 0.9921 +2025-07-01 20:17:29,066 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9199, top5_acc: 0.9921 +2025-07-01 20:18:11,522 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:52:45, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5558, loss: 0.5558 +2025-07-01 20:18:29,674 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:52:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9850, loss_cls: 0.4961, loss: 0.4961 +2025-07-01 20:18:47,666 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:52:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5686, loss: 0.5686 +2025-07-01 20:19:05,671 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:51:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.5213, loss: 0.5213 +2025-07-01 20:19:23,542 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:51:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5506, loss: 0.5506 +2025-07-01 20:19:41,340 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:51:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.5104, loss: 0.5104 +2025-07-01 20:19:59,133 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:50:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9844, loss_cls: 0.5457, loss: 0.5457 +2025-07-01 20:20:17,028 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:50:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5671, loss: 0.5671 +2025-07-01 20:20:34,963 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-01 20:21:11,824 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:21:11,852 - pyskl - INFO - +top1_acc 0.9238 +top5_acc 0.9946 +2025-07-01 20:21:11,854 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9238, top5_acc: 0.9946 +2025-07-01 20:21:54,705 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:50:04, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5524, loss: 0.5524 +2025-07-01 20:22:12,984 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:49:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5175, loss: 0.5175 +2025-07-01 20:22:30,967 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:49:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.5328, loss: 0.5328 +2025-07-01 20:22:49,016 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:49:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 0.5845, loss: 0.5845 +2025-07-01 20:23:06,966 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:48:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.5231, loss: 0.5231 +2025-07-01 20:23:25,142 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:48:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9931, loss_cls: 0.5231, loss: 0.5231 +2025-07-01 20:23:43,328 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:48:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 0.5047, loss: 0.5047 +2025-07-01 20:24:01,472 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:47:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 0.5661, loss: 0.5661 +2025-07-01 20:24:20,027 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-01 20:24:58,407 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:24:58,430 - pyskl - INFO - +top1_acc 0.9303 +top5_acc 0.9953 +2025-07-01 20:24:58,431 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9303, top5_acc: 0.9953 +2025-07-01 20:25:41,376 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:47:27, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9888, loss_cls: 0.4770, loss: 0.4770 +2025-07-01 20:25:59,365 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:47:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4885, loss: 0.4885 +2025-07-01 20:26:16,908 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:46:47, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 0.5827, loss: 0.5827 +2025-07-01 20:26:34,998 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:46:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.5042, loss: 0.5042 +2025-07-01 20:26:52,659 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:46:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 0.5359, loss: 0.5359 +2025-07-01 20:27:10,506 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:45:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 0.5792, loss: 0.5792 +2025-07-01 20:27:28,357 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:45:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.5408, loss: 0.5408 +2025-07-01 20:27:45,853 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:45:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5317, loss: 0.5317 +2025-07-01 20:28:04,098 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-01 20:28:41,130 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:28:41,153 - pyskl - INFO - +top1_acc 0.9265 +top5_acc 0.9944 +2025-07-01 20:28:41,154 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9265, top5_acc: 0.9944 +2025-07-01 20:29:25,103 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:44:46, time: 0.439, data_time: 0.255, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9956, loss_cls: 0.4742, loss: 0.4742 +2025-07-01 20:29:43,427 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:44:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5264, loss: 0.5264 +2025-07-01 20:30:01,040 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:44:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5587, loss: 0.5587 +2025-07-01 20:30:19,545 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:43:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.5205, loss: 0.5205 +2025-07-01 20:30:37,349 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:43:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5773, loss: 0.5773 +2025-07-01 20:30:54,895 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:43:08, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9844, loss_cls: 0.5294, loss: 0.5294 +2025-07-01 20:31:13,004 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:42:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4915, loss: 0.4915 +2025-07-01 20:31:31,264 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:42:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5471, loss: 0.5471 +2025-07-01 20:31:49,443 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-01 20:32:26,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:32:26,045 - pyskl - INFO - +top1_acc 0.8801 +top5_acc 0.9859 +2025-07-01 20:32:26,046 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.8801, top5_acc: 0.9859 +2025-07-01 20:33:09,364 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:42:07, time: 0.433, data_time: 0.246, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9919, loss_cls: 0.5962, loss: 0.5962 +2025-07-01 20:33:27,605 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:41:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5427, loss: 0.5427 +2025-07-01 20:33:45,445 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:41:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5380, loss: 0.5380 +2025-07-01 20:34:03,363 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:41:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9888, loss_cls: 0.5377, loss: 0.5377 +2025-07-01 20:34:21,518 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:40:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.5048, loss: 0.5048 +2025-07-01 20:34:39,459 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:40:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.5685, loss: 0.5685 +2025-07-01 20:34:57,180 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:40:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.5103, loss: 0.5103 +2025-07-01 20:35:15,000 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:39:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5230, loss: 0.5230 +2025-07-01 20:35:33,070 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-01 20:36:09,836 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:36:09,864 - pyskl - INFO - +top1_acc 0.9317 +top5_acc 0.9937 +2025-07-01 20:36:09,865 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9317, top5_acc: 0.9937 +2025-07-01 20:36:52,553 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:39:26, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.5402, loss: 0.5402 +2025-07-01 20:37:10,687 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:39:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 0.4213, loss: 0.4213 +2025-07-01 20:37:28,468 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:38:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4840, loss: 0.4840 +2025-07-01 20:37:46,421 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:38:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9919, loss_cls: 0.5354, loss: 0.5354 +2025-07-01 20:38:04,333 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:38:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5643, loss: 0.5643 +2025-07-01 20:38:22,165 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:37:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5521, loss: 0.5521 +2025-07-01 20:38:39,979 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:37:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.4975, loss: 0.4975 +2025-07-01 20:38:57,662 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:37:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.5077, loss: 0.5077 +2025-07-01 20:39:15,697 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-01 20:39:52,737 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:39:52,760 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9946 +2025-07-01 20:39:52,761 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9388, top5_acc: 0.9946 +2025-07-01 20:40:35,720 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:36:43, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4905, loss: 0.4905 +2025-07-01 20:40:53,877 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:36:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4847, loss: 0.4847 +2025-07-01 20:41:12,215 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:36:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5020, loss: 0.5020 +2025-07-01 20:41:30,261 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:35:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9906, loss_cls: 0.4530, loss: 0.4530 +2025-07-01 20:41:48,328 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:35:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9938, loss_cls: 0.4778, loss: 0.4778 +2025-07-01 20:42:06,430 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:35:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 0.5297, loss: 0.5297 +2025-07-01 20:42:24,216 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:34:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4907, loss: 0.4907 +2025-07-01 20:42:42,307 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:34:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9931, loss_cls: 0.5234, loss: 0.5234 +2025-07-01 20:43:00,629 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-01 20:43:37,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:43:37,576 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9957 +2025-07-01 20:43:37,578 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9388, top5_acc: 0.9957 +2025-07-01 20:44:20,760 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:34:04, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9900, loss_cls: 0.4545, loss: 0.4545 +2025-07-01 20:44:38,809 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:33:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4671, loss: 0.4671 +2025-07-01 20:44:56,864 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:33:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4853, loss: 0.4853 +2025-07-01 20:45:14,692 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:33:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 0.5205, loss: 0.5205 +2025-07-01 20:45:32,634 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:32:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5134, loss: 0.5134 +2025-07-01 20:45:50,979 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:32:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4457, loss: 0.4457 +2025-07-01 20:46:09,085 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:32:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9850, loss_cls: 0.5147, loss: 0.5147 +2025-07-01 20:46:26,891 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:31:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4622, loss: 0.4622 +2025-07-01 20:46:44,889 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-01 20:47:21,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:47:21,937 - pyskl - INFO - +top1_acc 0.9313 +top5_acc 0.9946 +2025-07-01 20:47:21,938 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9313, top5_acc: 0.9946 +2025-07-01 20:48:05,151 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:31:23, time: 0.432, data_time: 0.250, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4557, loss: 0.4557 +2025-07-01 20:48:23,429 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:31:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9944, loss_cls: 0.4634, loss: 0.4634 +2025-07-01 20:48:41,301 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:30:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5067, loss: 0.5067 +2025-07-01 20:48:59,452 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:30:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 0.4490, loss: 0.4490 +2025-07-01 20:49:17,463 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:30:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.5071, loss: 0.5071 +2025-07-01 20:49:35,252 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:29:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4473, loss: 0.4473 +2025-07-01 20:49:53,048 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:29:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.5181, loss: 0.5181 +2025-07-01 20:50:11,454 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:29:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9862, loss_cls: 0.5454, loss: 0.5454 +2025-07-01 20:50:29,783 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-01 20:51:06,519 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:51:06,548 - pyskl - INFO - +top1_acc 0.9334 +top5_acc 0.9942 +2025-07-01 20:51:06,549 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9334, top5_acc: 0.9942 +2025-07-01 20:51:50,977 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:28:45, time: 0.444, data_time: 0.259, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9869, loss_cls: 0.5444, loss: 0.5444 +2025-07-01 20:52:09,126 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:28:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5170, loss: 0.5170 +2025-07-01 20:52:26,898 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:28:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4597, loss: 0.4597 +2025-07-01 20:52:45,066 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:27:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.4773, loss: 0.4773 +2025-07-01 20:53:03,289 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:27:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9869, loss_cls: 0.4819, loss: 0.4819 +2025-07-01 20:53:20,880 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:27:07, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4776, loss: 0.4776 +2025-07-01 20:53:38,513 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:26:47, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4898, loss: 0.4898 +2025-07-01 20:53:56,384 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:26:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4383, loss: 0.4383 +2025-07-01 20:54:14,352 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-01 20:54:51,669 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:54:51,698 - pyskl - INFO - +top1_acc 0.9300 +top5_acc 0.9942 +2025-07-01 20:54:51,700 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9300, top5_acc: 0.9942 +2025-07-01 20:55:36,923 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:26:06, time: 0.452, data_time: 0.268, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.5030, loss: 0.5030 +2025-07-01 20:55:55,459 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:25:47, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9881, loss_cls: 0.4688, loss: 0.4688 +2025-07-01 20:56:13,393 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:25:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9969, loss_cls: 0.4486, loss: 0.4486 +2025-07-01 20:56:31,060 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:25:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4554, loss: 0.4554 +2025-07-01 20:56:49,170 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:24:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4535, loss: 0.4535 +2025-07-01 20:57:07,004 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:24:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9906, loss_cls: 0.4474, loss: 0.4474 +2025-07-01 20:57:25,155 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:24:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5223, loss: 0.5223 +2025-07-01 20:57:42,906 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:23:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5496, loss: 0.5496 +2025-07-01 20:58:01,338 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-01 20:58:38,799 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:58:38,822 - pyskl - INFO - +top1_acc 0.9431 +top5_acc 0.9953 +2025-07-01 20:58:38,827 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_42.pth was removed +2025-07-01 20:58:38,996 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. +2025-07-01 20:58:38,996 - pyskl - INFO - Best top1_acc is 0.9431 at 55 epoch. +2025-07-01 20:58:38,998 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9431, top5_acc: 0.9953 +2025-07-01 20:59:22,796 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:23:25, time: 0.438, data_time: 0.251, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4380, loss: 0.4380 +2025-07-01 20:59:40,999 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:23:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.4502, loss: 0.4502 +2025-07-01 20:59:59,266 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:22:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 0.5069, loss: 0.5069 +2025-07-01 21:00:17,674 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:22:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5120, loss: 0.5120 +2025-07-01 21:00:35,660 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:22:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.4442, loss: 0.4442 +2025-07-01 21:00:53,573 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:21:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4483, loss: 0.4483 +2025-07-01 21:01:11,654 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:21:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9938, loss_cls: 0.4509, loss: 0.4509 +2025-07-01 21:01:29,562 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:21:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9906, loss_cls: 0.5636, loss: 0.5636 +2025-07-01 21:01:47,844 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-01 21:02:24,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:02:24,779 - pyskl - INFO - +top1_acc 0.9335 +top5_acc 0.9954 +2025-07-01 21:02:24,782 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9335, top5_acc: 0.9954 +2025-07-01 21:03:08,027 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:20:44, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4659, loss: 0.4659 +2025-07-01 21:03:26,221 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:20:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4418, loss: 0.4418 +2025-07-01 21:03:44,142 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:20:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3846, loss: 0.3846 +2025-07-01 21:04:02,116 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:19:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4613, loss: 0.4613 +2025-07-01 21:04:20,047 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:19:26, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4458, loss: 0.4458 +2025-07-01 21:04:37,691 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:19:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.4923, loss: 0.4923 +2025-07-01 21:04:55,518 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:18:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4664, loss: 0.4664 +2025-07-01 21:05:13,113 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:18:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4454, loss: 0.4454 +2025-07-01 21:05:31,224 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-01 21:06:07,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:06:07,479 - pyskl - INFO - +top1_acc 0.8917 +top5_acc 0.9905 +2025-07-01 21:06:07,480 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.8917, top5_acc: 0.9905 +2025-07-01 21:06:50,510 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:18:00, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4640, loss: 0.4640 +2025-07-01 21:07:08,715 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:17:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4210, loss: 0.4210 +2025-07-01 21:07:26,899 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:17:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4567, loss: 0.4567 +2025-07-01 21:07:44,617 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:17:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4309, loss: 0.4309 +2025-07-01 21:08:02,725 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:16:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9925, loss_cls: 0.5438, loss: 0.5438 +2025-07-01 21:08:20,430 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:16:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4502, loss: 0.4502 +2025-07-01 21:08:38,286 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:16:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4993, loss: 0.4993 +2025-07-01 21:08:56,474 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:15:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9950, loss_cls: 0.5045, loss: 0.5045 +2025-07-01 21:09:14,976 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-01 21:09:51,108 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:09:51,138 - pyskl - INFO - +top1_acc 0.9361 +top5_acc 0.9957 +2025-07-01 21:09:51,139 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9361, top5_acc: 0.9957 +2025-07-01 21:10:34,408 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:15:17, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9969, loss_cls: 0.4171, loss: 0.4171 +2025-07-01 21:10:52,427 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:14:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3933, loss: 0.3933 +2025-07-01 21:11:10,403 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:14:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4707, loss: 0.4707 +2025-07-01 21:11:28,238 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:14:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4749, loss: 0.4749 +2025-07-01 21:11:46,221 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:13:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4498, loss: 0.4498 +2025-07-01 21:12:03,939 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:13:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4971, loss: 0.4971 +2025-07-01 21:12:21,750 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:13:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4199, loss: 0.4199 +2025-07-01 21:12:40,122 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:13:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9956, loss_cls: 0.4777, loss: 0.4777 +2025-07-01 21:12:58,563 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-01 21:13:35,150 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:13:35,173 - pyskl - INFO - +top1_acc 0.9492 +top5_acc 0.9957 +2025-07-01 21:13:35,178 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_55.pth was removed +2025-07-01 21:13:35,346 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. +2025-07-01 21:13:35,346 - pyskl - INFO - Best top1_acc is 0.9492 at 59 epoch. +2025-07-01 21:13:35,348 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9492, top5_acc: 0.9957 +2025-07-01 21:14:17,539 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:12:32, time: 0.422, data_time: 0.241, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3989, loss: 0.3989 +2025-07-01 21:14:35,376 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:12:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3503, loss: 0.3503 +2025-07-01 21:14:53,620 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:11:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4620, loss: 0.4620 +2025-07-01 21:15:11,047 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:11:33, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4729, loss: 0.4729 +2025-07-01 21:15:28,989 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:11:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4866, loss: 0.4866 +2025-07-01 21:15:46,857 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:10:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4650, loss: 0.4650 +2025-07-01 21:16:04,788 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:10:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9900, loss_cls: 0.4202, loss: 0.4202 +2025-07-01 21:16:22,451 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:10:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4689, loss: 0.4689 +2025-07-01 21:16:41,017 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-01 21:17:18,034 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:17:18,057 - pyskl - INFO - +top1_acc 0.9368 +top5_acc 0.9949 +2025-07-01 21:17:18,058 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9368, top5_acc: 0.9949 +2025-07-01 21:17:59,822 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:09:46, time: 0.418, data_time: 0.235, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4883, loss: 0.4883 +2025-07-01 21:18:18,148 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:09:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.4011, loss: 0.4011 +2025-07-01 21:18:35,890 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:09:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4433, loss: 0.4433 +2025-07-01 21:18:53,821 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:08:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9969, loss_cls: 0.4258, loss: 0.4258 +2025-07-01 21:19:12,023 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:08:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.5065, loss: 0.5065 +2025-07-01 21:19:29,904 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:08:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.4175, loss: 0.4175 +2025-07-01 21:19:47,925 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:07:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 0.4606, loss: 0.4606 +2025-07-01 21:20:06,032 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:07:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9925, loss_cls: 0.4752, loss: 0.4752 +2025-07-01 21:20:24,432 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-01 21:21:01,588 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:21:01,613 - pyskl - INFO - +top1_acc 0.9300 +top5_acc 0.9939 +2025-07-01 21:21:01,614 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9300, top5_acc: 0.9939 +2025-07-01 21:21:44,763 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:07:03, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9931, loss_cls: 0.4278, loss: 0.4278 +2025-07-01 21:22:02,557 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:06:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4145, loss: 0.4145 +2025-07-01 21:22:20,689 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:06:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.4496, loss: 0.4496 +2025-07-01 21:22:38,495 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:06:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9969, loss_cls: 0.4673, loss: 0.4673 +2025-07-01 21:22:56,817 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:05:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9944, loss_cls: 0.4828, loss: 0.4828 +2025-07-01 21:23:14,885 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:05:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4289, loss: 0.4289 +2025-07-01 21:23:32,940 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:05:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.4536, loss: 0.4536 +2025-07-01 21:23:50,927 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:04:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4411, loss: 0.4411 +2025-07-01 21:24:09,493 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-01 21:24:46,007 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:24:46,030 - pyskl - INFO - +top1_acc 0.9307 +top5_acc 0.9954 +2025-07-01 21:24:46,031 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9307, top5_acc: 0.9954 +2025-07-01 21:25:29,533 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:04:20, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4251, loss: 0.4251 +2025-07-01 21:25:47,627 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:04:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3964, loss: 0.3964 +2025-07-01 21:26:05,801 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:03:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.4073, loss: 0.4073 +2025-07-01 21:26:23,679 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:03:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.4114, loss: 0.4114 +2025-07-01 21:26:41,674 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:03:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4412, loss: 0.4412 +2025-07-01 21:26:59,633 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:02:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4565, loss: 0.4565 +2025-07-01 21:27:17,656 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:02:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9962, loss_cls: 0.4602, loss: 0.4602 +2025-07-01 21:27:36,159 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:02:05, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9925, loss_cls: 0.4566, loss: 0.4566 +2025-07-01 21:27:54,329 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-01 21:28:31,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:28:31,181 - pyskl - INFO - +top1_acc 0.9491 +top5_acc 0.9961 +2025-07-01 21:28:31,182 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9491, top5_acc: 0.9961 +2025-07-01 21:29:14,606 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:01:38, time: 0.434, data_time: 0.252, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4293, loss: 0.4293 +2025-07-01 21:29:32,877 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:01:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4116, loss: 0.4116 +2025-07-01 21:29:51,262 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:01:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4093, loss: 0.4093 +2025-07-01 21:30:09,091 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:00:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4723, loss: 0.4723 +2025-07-01 21:30:26,891 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:00:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.4127, loss: 0.4127 +2025-07-01 21:30:44,911 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:00:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.4095, loss: 0.4095 +2025-07-01 21:31:02,439 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:59:41, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3833, loss: 0.3833 +2025-07-01 21:31:19,946 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:59:21, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9894, loss_cls: 0.4332, loss: 0.4332 +2025-07-01 21:31:38,399 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-01 21:32:14,746 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:32:14,769 - pyskl - INFO - +top1_acc 0.9546 +top5_acc 0.9955 +2025-07-01 21:32:14,773 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_59.pth was removed +2025-07-01 21:32:14,940 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-07-01 21:32:14,940 - pyskl - INFO - Best top1_acc is 0.9546 at 64 epoch. +2025-07-01 21:32:14,942 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9546, top5_acc: 0.9955 +2025-07-01 21:32:57,960 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:58:53, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 0.3951, loss: 0.3951 +2025-07-01 21:33:15,862 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:58:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3543, loss: 0.3543 +2025-07-01 21:33:34,029 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:58:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3448, loss: 0.3448 +2025-07-01 21:33:51,982 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:57:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4555, loss: 0.4555 +2025-07-01 21:34:09,957 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:57:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4207, loss: 0.4207 +2025-07-01 21:34:28,164 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:57:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9950, loss_cls: 0.4377, loss: 0.4377 +2025-07-01 21:34:46,033 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:56:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3949, loss: 0.3949 +2025-07-01 21:35:04,081 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:56:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 0.5055, loss: 0.5055 +2025-07-01 21:35:22,408 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-01 21:35:59,415 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:35:59,438 - pyskl - INFO - +top1_acc 0.9356 +top5_acc 0.9954 +2025-07-01 21:35:59,439 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9356, top5_acc: 0.9954 +2025-07-01 21:36:42,447 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:56:09, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 0.3916, loss: 0.3916 +2025-07-01 21:37:00,543 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:55:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.4029, loss: 0.4029 +2025-07-01 21:37:18,530 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:55:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3825, loss: 0.3825 +2025-07-01 21:37:36,580 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:55:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4507, loss: 0.4507 +2025-07-01 21:37:54,443 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:54:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3993, loss: 0.3993 +2025-07-01 21:38:12,673 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:54:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9938, loss_cls: 0.4379, loss: 0.4379 +2025-07-01 21:38:30,740 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:54:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4750, loss: 0.4750 +2025-07-01 21:38:48,606 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:53:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4582, loss: 0.4582 +2025-07-01 21:39:07,182 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-01 21:39:43,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:39:43,873 - pyskl - INFO - +top1_acc 0.9457 +top5_acc 0.9955 +2025-07-01 21:39:43,875 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9457, top5_acc: 0.9955 +2025-07-01 21:40:26,676 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:53:25, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4167, loss: 0.4167 +2025-07-01 21:40:44,830 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:53:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4003, loss: 0.4003 +2025-07-01 21:41:03,132 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:52:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3525, loss: 0.3525 +2025-07-01 21:41:21,233 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:52:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4231, loss: 0.4231 +2025-07-01 21:41:39,217 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:52:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3923, loss: 0.3923 +2025-07-01 21:41:57,465 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:51:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3979, loss: 0.3979 +2025-07-01 21:42:15,549 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:51:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4014, loss: 0.4014 +2025-07-01 21:42:33,361 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:51:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4130, loss: 0.4130 +2025-07-01 21:42:51,460 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-01 21:43:28,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:43:28,451 - pyskl - INFO - +top1_acc 0.9473 +top5_acc 0.9951 +2025-07-01 21:43:28,452 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9473, top5_acc: 0.9951 +2025-07-01 21:44:10,833 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:50:40, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3683, loss: 0.3683 +2025-07-01 21:44:28,826 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:50:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4183, loss: 0.4183 +2025-07-01 21:44:47,007 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:50:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4365, loss: 0.4365 +2025-07-01 21:45:05,065 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:49:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9981, loss_cls: 0.3840, loss: 0.3840 +2025-07-01 21:45:22,700 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:49:23, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3949, loss: 0.3949 +2025-07-01 21:45:41,112 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:49:04, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4576, loss: 0.4576 +2025-07-01 21:45:59,112 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:48:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3737, loss: 0.3737 +2025-07-01 21:46:17,214 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:48:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4510, loss: 0.4510 +2025-07-01 21:46:35,641 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-01 21:47:12,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:47:12,783 - pyskl - INFO - +top1_acc 0.9477 +top5_acc 0.9957 +2025-07-01 21:47:12,784 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9477, top5_acc: 0.9957 +2025-07-01 21:47:55,194 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:47:55, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9988, loss_cls: 0.3772, loss: 0.3772 +2025-07-01 21:48:13,078 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:47:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3632, loss: 0.3632 +2025-07-01 21:48:31,437 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:47:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4150, loss: 0.4150 +2025-07-01 21:48:49,791 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:46:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9950, loss_cls: 0.4011, loss: 0.4011 +2025-07-01 21:49:08,075 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:46:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3629, loss: 0.3629 +2025-07-01 21:49:26,432 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:46:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9962, loss_cls: 0.4010, loss: 0.4010 +2025-07-01 21:49:45,017 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:46:02, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9912, loss_cls: 0.3828, loss: 0.3828 +2025-07-01 21:50:03,335 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:45:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4570, loss: 0.4570 +2025-07-01 21:50:21,422 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-01 21:50:58,349 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:50:58,377 - pyskl - INFO - +top1_acc 0.9576 +top5_acc 0.9964 +2025-07-01 21:50:58,381 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_64.pth was removed +2025-07-01 21:50:58,585 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-07-01 21:50:58,585 - pyskl - INFO - Best top1_acc is 0.9576 at 69 epoch. +2025-07-01 21:50:58,587 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9576, top5_acc: 0.9964 +2025-07-01 21:51:41,052 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:45:13, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3545, loss: 0.3545 +2025-07-01 21:51:59,039 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:44:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3346, loss: 0.3346 +2025-07-01 21:52:17,356 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:44:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.4102, loss: 0.4102 +2025-07-01 21:52:35,454 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:44:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3805, loss: 0.3805 +2025-07-01 21:52:53,255 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:43:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4634, loss: 0.4634 +2025-07-01 21:53:11,640 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:43:37, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4211, loss: 0.4211 +2025-07-01 21:53:29,519 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:43:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3520, loss: 0.3520 +2025-07-01 21:53:47,323 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:42:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3844, loss: 0.3844 +2025-07-01 21:54:05,551 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-01 21:54:42,468 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:54:42,496 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9971 +2025-07-01 21:54:42,497 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9564, top5_acc: 0.9971 +2025-07-01 21:55:25,990 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:42:29, time: 0.435, data_time: 0.247, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4072, loss: 0.4072 +2025-07-01 21:55:44,181 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:42:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.3761, loss: 0.3761 +2025-07-01 21:56:02,169 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:41:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3576, loss: 0.3576 +2025-07-01 21:56:19,878 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:41:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3642, loss: 0.3642 +2025-07-01 21:56:38,258 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:41:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4733, loss: 0.4733 +2025-07-01 21:56:56,356 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:40:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9969, loss_cls: 0.4053, loss: 0.4053 +2025-07-01 21:57:14,378 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:40:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 0.3743, loss: 0.3743 +2025-07-01 21:57:32,752 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:40:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.4236, loss: 0.4236 +2025-07-01 21:57:51,104 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-01 21:58:28,257 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:58:28,282 - pyskl - INFO - +top1_acc 0.9517 +top5_acc 0.9965 +2025-07-01 21:58:28,283 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9517, top5_acc: 0.9965 +2025-07-01 21:59:11,457 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:39:45, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9944, loss_cls: 0.3576, loss: 0.3576 +2025-07-01 21:59:29,376 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:39:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3286, loss: 0.3286 +2025-07-01 21:59:47,384 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:39:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3307, loss: 0.3307 +2025-07-01 22:00:05,312 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:38:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9956, loss_cls: 0.4132, loss: 0.4132 +2025-07-01 22:00:23,225 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:38:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4427, loss: 0.4427 +2025-07-01 22:00:41,427 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:38:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3812, loss: 0.3812 +2025-07-01 22:00:59,346 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:37:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3614, loss: 0.3614 +2025-07-01 22:01:17,964 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:37:30, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 0.3913, loss: 0.3913 +2025-07-01 22:01:36,033 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-01 22:02:13,536 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:02:13,559 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9955 +2025-07-01 22:02:13,560 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9512, top5_acc: 0.9955 +2025-07-01 22:02:56,517 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:37:00, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 0.3998, loss: 0.3998 +2025-07-01 22:03:14,453 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:36:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 0.3852, loss: 0.3852 +2025-07-01 22:03:32,499 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:36:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 0.3591, loss: 0.3591 +2025-07-01 22:03:50,482 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:36:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3718, loss: 0.3718 +2025-07-01 22:04:08,600 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:35:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4226, loss: 0.4226 +2025-07-01 22:04:26,646 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:35:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3772, loss: 0.3772 +2025-07-01 22:04:44,104 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:35:04, time: 0.175, data_time: 0.001, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3631, loss: 0.3631 +2025-07-01 22:05:02,410 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:34:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3695, loss: 0.3695 +2025-07-01 22:05:20,746 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-01 22:05:57,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:05:57,476 - pyskl - INFO - +top1_acc 0.9555 +top5_acc 0.9961 +2025-07-01 22:05:57,477 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9555, top5_acc: 0.9961 +2025-07-01 22:06:40,531 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:34:15, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3544, loss: 0.3544 +2025-07-01 22:06:59,012 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:33:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3403, loss: 0.3403 +2025-07-01 22:07:16,924 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:33:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3633, loss: 0.3633 +2025-07-01 22:07:35,216 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:33:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3731, loss: 0.3731 +2025-07-01 22:07:52,973 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:32:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.3921, loss: 0.3921 +2025-07-01 22:08:11,182 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:32:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3467, loss: 0.3467 +2025-07-01 22:08:29,232 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:32:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.3896, loss: 0.3896 +2025-07-01 22:08:47,400 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:32:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3716, loss: 0.3716 +2025-07-01 22:09:05,818 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-01 22:09:42,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:09:42,268 - pyskl - INFO - +top1_acc 0.9531 +top5_acc 0.9967 +2025-07-01 22:09:42,269 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9531, top5_acc: 0.9967 +2025-07-01 22:10:25,447 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:31:30, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 0.3764, loss: 0.3764 +2025-07-01 22:10:43,508 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:31:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9938, loss_cls: 0.3154, loss: 0.3154 +2025-07-01 22:11:01,422 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:30:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9956, loss_cls: 0.3461, loss: 0.3461 +2025-07-01 22:11:19,537 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:30:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3982, loss: 0.3982 +2025-07-01 22:11:37,480 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:30:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3519, loss: 0.3519 +2025-07-01 22:11:55,485 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:29:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9981, loss_cls: 0.3691, loss: 0.3691 +2025-07-01 22:12:13,121 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:29:35, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3651, loss: 0.3651 +2025-07-01 22:12:31,154 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:29:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3746, loss: 0.3746 +2025-07-01 22:12:49,242 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-01 22:13:26,454 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:13:26,477 - pyskl - INFO - +top1_acc 0.9487 +top5_acc 0.9961 +2025-07-01 22:13:26,478 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9487, top5_acc: 0.9961 +2025-07-01 22:14:10,135 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:28:45, time: 0.437, data_time: 0.251, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3780, loss: 0.3780 +2025-07-01 22:14:28,095 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:28:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3345, loss: 0.3345 +2025-07-01 22:14:46,065 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:28:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3191, loss: 0.3191 +2025-07-01 22:15:03,944 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:27:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.3108, loss: 0.3108 +2025-07-01 22:15:21,888 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:27:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3495, loss: 0.3495 +2025-07-01 22:15:39,718 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:27:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3406, loss: 0.3406 +2025-07-01 22:15:57,709 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:26:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.3556, loss: 0.3556 +2025-07-01 22:16:15,685 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:26:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.3944, loss: 0.3944 +2025-07-01 22:16:33,985 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-01 22:17:11,374 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:17:11,403 - pyskl - INFO - +top1_acc 0.9587 +top5_acc 0.9965 +2025-07-01 22:17:11,407 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_69.pth was removed +2025-07-01 22:17:11,609 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_76.pth. +2025-07-01 22:17:11,609 - pyskl - INFO - Best top1_acc is 0.9587 at 76 epoch. +2025-07-01 22:17:11,611 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9587, top5_acc: 0.9965 +2025-07-01 22:17:55,838 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:26:00, time: 0.442, data_time: 0.256, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3588, loss: 0.3588 +2025-07-01 22:18:13,943 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:25:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3725, loss: 0.3725 +2025-07-01 22:18:31,667 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:25:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3099, loss: 0.3099 +2025-07-01 22:18:49,808 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:25:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3503, loss: 0.3503 +2025-07-01 22:19:08,411 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:24:44, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3336, loss: 0.3336 +2025-07-01 22:19:26,276 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:24:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3220, loss: 0.3220 +2025-07-01 22:19:44,628 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:24:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9956, loss_cls: 0.3767, loss: 0.3767 +2025-07-01 22:20:02,624 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:23:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3475, loss: 0.3475 +2025-07-01 22:20:20,543 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-01 22:20:57,165 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:20:57,188 - pyskl - INFO - +top1_acc 0.9477 +top5_acc 0.9961 +2025-07-01 22:20:57,189 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9477, top5_acc: 0.9961 +2025-07-01 22:21:40,618 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:23:16, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3231, loss: 0.3231 +2025-07-01 22:21:58,847 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:22:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3197, loss: 0.3197 +2025-07-01 22:22:16,917 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:22:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2892, loss: 0.2892 +2025-07-01 22:22:34,799 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:22:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3297, loss: 0.3297 +2025-07-01 22:22:53,063 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:21:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3815, loss: 0.3815 +2025-07-01 22:23:10,913 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:21:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9906, loss_cls: 0.3821, loss: 0.3821 +2025-07-01 22:23:28,912 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:21:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3207, loss: 0.3207 +2025-07-01 22:23:47,125 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:21:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3264, loss: 0.3264 +2025-07-01 22:24:05,312 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-01 22:24:42,300 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:24:42,331 - pyskl - INFO - +top1_acc 0.9592 +top5_acc 0.9960 +2025-07-01 22:24:42,336 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_76.pth was removed +2025-07-01 22:24:42,534 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_78.pth. +2025-07-01 22:24:42,535 - pyskl - INFO - Best top1_acc is 0.9592 at 78 epoch. +2025-07-01 22:24:42,537 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9592, top5_acc: 0.9960 +2025-07-01 22:25:25,337 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:20:30, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3440, loss: 0.3440 +2025-07-01 22:25:43,382 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:20:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9938, loss_cls: 0.3474, loss: 0.3474 +2025-07-01 22:26:01,296 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:19:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3135, loss: 0.3135 +2025-07-01 22:26:19,718 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:19:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3345, loss: 0.3345 +2025-07-01 22:26:37,983 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:19:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3531, loss: 0.3531 +2025-07-01 22:26:55,764 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:18:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9925, loss_cls: 0.3651, loss: 0.3651 +2025-07-01 22:27:14,271 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:18:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3825, loss: 0.3825 +2025-07-01 22:27:32,263 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:18:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3310, loss: 0.3310 +2025-07-01 22:27:50,803 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-01 22:28:27,304 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:28:27,326 - pyskl - INFO - +top1_acc 0.9356 +top5_acc 0.9950 +2025-07-01 22:28:27,327 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9356, top5_acc: 0.9950 +2025-07-01 22:29:10,470 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:17:45, time: 0.431, data_time: 0.248, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3230, loss: 0.3230 +2025-07-01 22:29:28,705 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:17:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3517, loss: 0.3517 +2025-07-01 22:29:46,667 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:17:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3872, loss: 0.3872 +2025-07-01 22:30:05,284 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:16:49, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3380, loss: 0.3380 +2025-07-01 22:30:23,243 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:16:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.3086, loss: 0.3086 +2025-07-01 22:30:41,296 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:16:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3732, loss: 0.3732 +2025-07-01 22:30:59,480 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:15:51, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3386, loss: 0.3386 +2025-07-01 22:31:17,259 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:15:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9944, loss_cls: 0.4184, loss: 0.4184 +2025-07-01 22:31:35,555 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-01 22:32:12,743 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:32:12,770 - pyskl - INFO - +top1_acc 0.9559 +top5_acc 0.9962 +2025-07-01 22:32:12,772 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9559, top5_acc: 0.9962 +2025-07-01 22:32:56,394 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:15:01, time: 0.436, data_time: 0.246, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2942, loss: 0.2942 +2025-07-01 22:33:14,690 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:14:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3266, loss: 0.3266 +2025-07-01 22:33:32,944 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:14:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2993, loss: 0.2993 +2025-07-01 22:33:50,888 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:14:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3281, loss: 0.3281 +2025-07-01 22:34:08,731 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:13:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.3078, loss: 0.3078 +2025-07-01 22:34:26,917 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:13:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.3277, loss: 0.3277 +2025-07-01 22:34:45,040 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:13:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3015, loss: 0.3015 +2025-07-01 22:35:02,941 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:12:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9925, loss_cls: 0.3436, loss: 0.3436 +2025-07-01 22:35:21,415 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-01 22:35:57,974 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:35:58,001 - pyskl - INFO - +top1_acc 0.9485 +top5_acc 0.9954 +2025-07-01 22:35:58,003 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9485, top5_acc: 0.9954 +2025-07-01 22:36:40,106 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:12:14, time: 0.421, data_time: 0.236, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3632, loss: 0.3632 +2025-07-01 22:36:58,104 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:11:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.3155, loss: 0.3155 +2025-07-01 22:37:16,320 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:11:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2762, loss: 0.2762 +2025-07-01 22:37:34,470 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:11:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3329, loss: 0.3329 +2025-07-01 22:37:52,306 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:10:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2887, loss: 0.2887 +2025-07-01 22:38:10,565 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:10:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3212, loss: 0.3212 +2025-07-01 22:38:29,305 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:10:20, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3759, loss: 0.3759 +2025-07-01 22:38:47,407 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:10:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3742, loss: 0.3742 +2025-07-01 22:39:06,018 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-01 22:39:43,601 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:39:43,624 - pyskl - INFO - +top1_acc 0.9619 +top5_acc 0.9965 +2025-07-01 22:39:43,628 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_78.pth was removed +2025-07-01 22:39:43,798 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_82.pth. +2025-07-01 22:39:43,798 - pyskl - INFO - Best top1_acc is 0.9619 at 82 epoch. +2025-07-01 22:39:43,800 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9619, top5_acc: 0.9965 +2025-07-01 22:40:26,941 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:09:29, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3073, loss: 0.3073 +2025-07-01 22:40:45,375 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:09:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.2933, loss: 0.2933 +2025-07-01 22:41:03,394 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:08:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3378, loss: 0.3378 +2025-07-01 22:41:21,512 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:08:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3101, loss: 0.3101 +2025-07-01 22:41:39,431 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:08:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2922, loss: 0.2922 +2025-07-01 22:41:57,795 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:07:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3255, loss: 0.3255 +2025-07-01 22:42:15,893 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:07:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.3004, loss: 0.3004 +2025-07-01 22:42:33,944 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:07:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3085, loss: 0.3085 +2025-07-01 22:42:52,713 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-01 22:43:29,500 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:43:29,523 - pyskl - INFO - +top1_acc 0.9594 +top5_acc 0.9960 +2025-07-01 22:43:29,524 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9594, top5_acc: 0.9960 +2025-07-01 22:44:11,966 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:06:43, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.3180, loss: 0.3180 +2025-07-01 22:44:30,011 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:06:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2710, loss: 0.2710 +2025-07-01 22:44:48,153 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:06:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.3204, loss: 0.3204 +2025-07-01 22:45:06,259 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:05:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9938, loss_cls: 0.3042, loss: 0.3042 +2025-07-01 22:45:24,621 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:05:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3591, loss: 0.3591 +2025-07-01 22:45:42,640 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:05:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3089, loss: 0.3089 +2025-07-01 22:46:00,935 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:04:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 0.2769, loss: 0.2769 +2025-07-01 22:46:18,740 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:04:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3116, loss: 0.3116 +2025-07-01 22:46:37,299 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-01 22:47:13,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:47:13,975 - pyskl - INFO - +top1_acc 0.9576 +top5_acc 0.9968 +2025-07-01 22:47:13,976 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9576, top5_acc: 0.9968 +2025-07-01 22:47:56,267 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:03:57, time: 0.423, data_time: 0.235, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2763, loss: 0.2763 +2025-07-01 22:48:14,105 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:03:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2824, loss: 0.2824 +2025-07-01 22:48:31,936 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:03:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2942, loss: 0.2942 +2025-07-01 22:48:50,292 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:03:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3448, loss: 0.3448 +2025-07-01 22:49:08,063 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:02:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9962, loss_cls: 0.3536, loss: 0.3536 +2025-07-01 22:49:25,861 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:02:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9950, loss_cls: 0.3424, loss: 0.3424 +2025-07-01 22:49:44,153 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:02:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.2808, loss: 0.2808 +2025-07-01 22:50:01,909 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:01:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9969, loss_cls: 0.3446, loss: 0.3446 +2025-07-01 22:50:20,685 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-01 22:50:57,073 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:50:57,105 - pyskl - INFO - +top1_acc 0.9594 +top5_acc 0.9964 +2025-07-01 22:50:57,106 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9594, top5_acc: 0.9964 +2025-07-01 22:51:39,317 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:01:10, time: 0.422, data_time: 0.237, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3059, loss: 0.3059 +2025-07-01 22:51:57,303 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:00:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2723, loss: 0.2723 +2025-07-01 22:52:15,277 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:00:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2610, loss: 0.2610 +2025-07-01 22:52:33,530 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:00:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.2951, loss: 0.2951 +2025-07-01 22:52:51,571 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:59:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.3208, loss: 0.3208 +2025-07-01 22:53:09,614 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:59:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9956, loss_cls: 0.3055, loss: 0.3055 +2025-07-01 22:53:27,701 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:59:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.3063, loss: 0.3063 +2025-07-01 22:53:45,804 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:58:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2845, loss: 0.2845 +2025-07-01 22:54:04,243 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-01 22:54:40,846 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:54:40,874 - pyskl - INFO - +top1_acc 0.9631 +top5_acc 0.9960 +2025-07-01 22:54:40,878 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_82.pth was removed +2025-07-01 22:54:41,262 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-07-01 22:54:41,262 - pyskl - INFO - Best top1_acc is 0.9631 at 86 epoch. +2025-07-01 22:54:41,264 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9631, top5_acc: 0.9960 +2025-07-01 22:55:23,704 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:58:23, time: 0.424, data_time: 0.238, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.3079, loss: 0.3079 +2025-07-01 22:55:41,870 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:58:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2859, loss: 0.2859 +2025-07-01 22:55:59,794 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:57:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2864, loss: 0.2864 +2025-07-01 22:56:18,320 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:57:26, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2953, loss: 0.2953 +2025-07-01 22:56:36,121 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:57:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9981, loss_cls: 0.3267, loss: 0.3267 +2025-07-01 22:56:54,043 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:56:48, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2815, loss: 0.2815 +2025-07-01 22:57:11,928 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:56:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3210, loss: 0.3210 +2025-07-01 22:57:29,753 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:56:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3313, loss: 0.3313 +2025-07-01 22:57:48,173 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-01 22:58:25,278 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:58:25,306 - pyskl - INFO - +top1_acc 0.9513 +top5_acc 0.9957 +2025-07-01 22:58:25,307 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9513, top5_acc: 0.9957 +2025-07-01 22:59:08,622 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:55:37, time: 0.433, data_time: 0.243, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.3110, loss: 0.3110 +2025-07-01 22:59:26,780 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:55:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2732, loss: 0.2732 +2025-07-01 22:59:44,712 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:54:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2731, loss: 0.2731 +2025-07-01 23:00:03,154 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:54:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9931, loss_cls: 0.2908, loss: 0.2908 +2025-07-01 23:00:21,048 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:54:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.3187, loss: 0.3187 +2025-07-01 23:00:39,298 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:54:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2369, loss: 0.2369 +2025-07-01 23:00:57,663 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:53:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3134, loss: 0.3134 +2025-07-01 23:01:15,420 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2658, loss: 0.2658 +2025-07-01 23:01:33,538 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-01 23:02:10,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:02:10,470 - pyskl - INFO - +top1_acc 0.9526 +top5_acc 0.9958 +2025-07-01 23:02:10,471 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9526, top5_acc: 0.9958 +2025-07-01 23:02:53,829 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:52:51, time: 0.434, data_time: 0.244, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2678, loss: 0.2678 +2025-07-01 23:03:11,917 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:52:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2482, loss: 0.2482 +2025-07-01 23:03:30,087 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:52:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2445, loss: 0.2445 +2025-07-01 23:03:48,296 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:51:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2879, loss: 0.2879 +2025-07-01 23:04:06,231 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:51:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3171, loss: 0.3171 +2025-07-01 23:04:24,549 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:51:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.2977, loss: 0.2977 +2025-07-01 23:04:42,863 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:50:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2433, loss: 0.2433 +2025-07-01 23:05:00,869 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:50:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2599, loss: 0.2599 +2025-07-01 23:05:19,083 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-01 23:05:56,504 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:05:56,533 - pyskl - INFO - +top1_acc 0.9613 +top5_acc 0.9968 +2025-07-01 23:05:56,534 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9613, top5_acc: 0.9968 +2025-07-01 23:06:39,087 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:50:05, time: 0.425, data_time: 0.239, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2578, loss: 0.2578 +2025-07-01 23:06:57,157 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:49:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2819, loss: 0.2819 +2025-07-01 23:07:15,222 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:49:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2561, loss: 0.2561 +2025-07-01 23:07:33,235 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:49:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2444, loss: 0.2444 +2025-07-01 23:07:51,096 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:48:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3226, loss: 0.3226 +2025-07-01 23:08:09,056 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:48:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2712, loss: 0.2712 +2025-07-01 23:08:27,408 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:48:11, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9944, loss_cls: 0.2540, loss: 0.2540 +2025-07-01 23:08:45,211 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:47:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2813, loss: 0.2813 +2025-07-01 23:09:03,558 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-01 23:09:40,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:09:40,622 - pyskl - INFO - +top1_acc 0.9392 +top5_acc 0.9958 +2025-07-01 23:09:40,623 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9392, top5_acc: 0.9958 +2025-07-01 23:10:23,739 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:47:19, time: 0.431, data_time: 0.240, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2696, loss: 0.2696 +2025-07-01 23:10:41,924 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:47:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.2982, loss: 0.2982 +2025-07-01 23:11:00,058 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:46:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9969, loss_cls: 0.2399, loss: 0.2399 +2025-07-01 23:11:18,367 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:46:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2140, loss: 0.2140 +2025-07-01 23:11:36,162 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:46:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2510, loss: 0.2510 +2025-07-01 23:11:54,589 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:45:44, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2298, loss: 0.2298 +2025-07-01 23:12:12,560 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2890, loss: 0.2890 +2025-07-01 23:12:30,658 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:45:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2776, loss: 0.2776 +2025-07-01 23:12:48,911 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-01 23:13:25,501 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:13:25,532 - pyskl - INFO - +top1_acc 0.9595 +top5_acc 0.9967 +2025-07-01 23:13:25,533 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9595, top5_acc: 0.9967 +2025-07-01 23:14:07,906 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:44:32, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2314, loss: 0.2314 +2025-07-01 23:14:25,876 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:44:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.2179, loss: 0.2179 +2025-07-01 23:14:43,988 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:43:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2378, loss: 0.2378 +2025-07-01 23:15:02,028 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:43:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2564, loss: 0.2564 +2025-07-01 23:15:19,858 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:43:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.3010, loss: 0.3010 +2025-07-01 23:15:37,855 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:42:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9988, loss_cls: 0.2666, loss: 0.2666 +2025-07-01 23:15:56,167 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:42:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3201, loss: 0.3201 +2025-07-01 23:16:14,456 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:42:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9981, loss_cls: 0.3090, loss: 0.3090 +2025-07-01 23:16:33,141 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-01 23:17:10,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:17:10,039 - pyskl - INFO - +top1_acc 0.9654 +top5_acc 0.9967 +2025-07-01 23:17:10,044 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_86.pth was removed +2025-07-01 23:17:10,250 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2025-07-01 23:17:10,250 - pyskl - INFO - Best top1_acc is 0.9654 at 92 epoch. +2025-07-01 23:17:10,252 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9654, top5_acc: 0.9967 +2025-07-01 23:17:52,325 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:41:45, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2517, loss: 0.2517 +2025-07-01 23:18:10,279 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2752, loss: 0.2752 +2025-07-01 23:18:28,268 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:41:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2241, loss: 0.2241 +2025-07-01 23:18:46,747 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:40:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2593, loss: 0.2593 +2025-07-01 23:19:04,923 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2739, loss: 0.2739 +2025-07-01 23:19:23,507 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:40:10, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2639, loss: 0.2639 +2025-07-01 23:19:41,793 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:39:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2434, loss: 0.2434 +2025-07-01 23:20:00,209 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:39:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2512, loss: 0.2512 +2025-07-01 23:20:18,837 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-01 23:20:56,705 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:20:56,735 - pyskl - INFO - +top1_acc 0.9641 +top5_acc 0.9965 +2025-07-01 23:20:56,736 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9641, top5_acc: 0.9965 +2025-07-01 23:21:40,749 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:39:00, time: 0.440, data_time: 0.253, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2417, loss: 0.2417 +2025-07-01 23:21:58,832 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:38:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2907, loss: 0.2907 +2025-07-01 23:22:16,676 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:38:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2356, loss: 0.2356 +2025-07-01 23:22:34,389 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:38:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 0.2038, loss: 0.2038 +2025-07-01 23:22:52,507 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:37:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2109, loss: 0.2109 +2025-07-01 23:23:10,699 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2367, loss: 0.2367 +2025-07-01 23:23:28,457 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2683, loss: 0.2683 +2025-07-01 23:23:46,383 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:36:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9956, loss_cls: 0.2675, loss: 0.2675 +2025-07-01 23:24:05,054 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-01 23:24:42,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:24:42,318 - pyskl - INFO - +top1_acc 0.9599 +top5_acc 0.9967 +2025-07-01 23:24:42,319 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9599, top5_acc: 0.9967 +2025-07-01 23:25:25,800 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:36:13, time: 0.435, data_time: 0.247, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2413, loss: 0.2413 +2025-07-01 23:25:43,929 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:35:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2390, loss: 0.2390 +2025-07-01 23:26:01,993 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:35:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.2860, loss: 0.2860 +2025-07-01 23:26:19,773 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:35:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2434, loss: 0.2434 +2025-07-01 23:26:38,289 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:34:57, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2782, loss: 0.2782 +2025-07-01 23:26:56,320 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:34:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2629, loss: 0.2629 +2025-07-01 23:27:14,285 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:34:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 1.0000, loss_cls: 0.2082, loss: 0.2082 +2025-07-01 23:27:32,116 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:34:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2567, loss: 0.2567 +2025-07-01 23:27:50,644 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-01 23:28:27,277 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:28:27,300 - pyskl - INFO - +top1_acc 0.9591 +top5_acc 0.9964 +2025-07-01 23:28:27,301 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9591, top5_acc: 0.9964 +2025-07-01 23:29:09,752 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:26, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2126, loss: 0.2126 +2025-07-01 23:29:27,833 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2230, loss: 0.2230 +2025-07-01 23:29:46,000 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:32:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2459, loss: 0.2459 +2025-07-01 23:30:03,902 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2665, loss: 0.2665 +2025-07-01 23:30:21,576 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:32:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2419, loss: 0.2419 +2025-07-01 23:30:39,787 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:31:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2410, loss: 0.2410 +2025-07-01 23:30:57,637 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2236, loss: 0.2236 +2025-07-01 23:31:15,959 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:31:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2220, loss: 0.2220 +2025-07-01 23:31:34,360 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-01 23:32:11,828 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:32:11,857 - pyskl - INFO - +top1_acc 0.9580 +top5_acc 0.9965 +2025-07-01 23:32:11,858 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9580, top5_acc: 0.9965 +2025-07-01 23:32:54,219 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:30:39, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9994, loss_cls: 0.2320, loss: 0.2320 +2025-07-01 23:33:12,542 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:30:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2168, loss: 0.2168 +2025-07-01 23:33:30,663 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2292, loss: 0.2292 +2025-07-01 23:33:48,954 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:29:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2130, loss: 0.2130 +2025-07-01 23:34:07,204 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2612, loss: 0.2612 +2025-07-01 23:34:25,368 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1922, loss: 0.1922 +2025-07-01 23:34:43,178 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:28:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2326, loss: 0.2326 +2025-07-01 23:35:01,296 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1884, loss: 0.1884 +2025-07-01 23:35:19,508 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-01 23:35:56,047 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:35:56,070 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9964 +2025-07-01 23:35:56,071 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9512, top5_acc: 0.9964 +2025-07-01 23:36:39,280 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:27:52, time: 0.432, data_time: 0.241, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2062, loss: 0.2062 +2025-07-01 23:36:57,397 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.2193, loss: 0.2193 +2025-07-01 23:37:15,776 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1960, loss: 0.1960 +2025-07-01 23:37:33,681 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:26:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.2047, loss: 0.2047 +2025-07-01 23:37:51,513 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:26:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2354, loss: 0.2354 +2025-07-01 23:38:09,927 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:26:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2457, loss: 0.2457 +2025-07-01 23:38:27,711 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:25:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2133, loss: 0.2133 +2025-07-01 23:38:45,604 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:25:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2120, loss: 0.2120 +2025-07-01 23:39:04,135 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-01 23:39:41,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:39:41,378 - pyskl - INFO - +top1_acc 0.9610 +top5_acc 0.9972 +2025-07-01 23:39:41,379 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9610, top5_acc: 0.9972 +2025-07-01 23:40:23,952 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:05, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2224, loss: 0.2224 +2025-07-01 23:40:42,239 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:24:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9969, loss_cls: 0.1889, loss: 0.1889 +2025-07-01 23:41:00,406 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1794, loss: 0.1794 +2025-07-01 23:41:18,567 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.2029, loss: 0.2029 +2025-07-01 23:41:36,559 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:23:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2204, loss: 0.2204 +2025-07-01 23:41:54,431 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.2057, loss: 0.2057 +2025-07-01 23:42:12,121 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2294, loss: 0.2294 +2025-07-01 23:42:30,049 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:22:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2582, loss: 0.2582 +2025-07-01 23:42:48,725 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-01 23:43:26,373 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:43:26,397 - pyskl - INFO - +top1_acc 0.9622 +top5_acc 0.9968 +2025-07-01 23:43:26,398 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9622, top5_acc: 0.9968 +2025-07-01 23:44:09,355 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:18, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1704, loss: 0.1704 +2025-07-01 23:44:27,464 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:21:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2238, loss: 0.2238 +2025-07-01 23:44:45,399 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:21:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.2058, loss: 0.2058 +2025-07-01 23:45:03,413 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2264, loss: 0.2264 +2025-07-01 23:45:21,774 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.2234, loss: 0.2234 +2025-07-01 23:45:39,835 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:20:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2348, loss: 0.2348 +2025-07-01 23:45:57,664 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1781, loss: 0.1781 +2025-07-01 23:46:15,902 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2461, loss: 0.2461 +2025-07-01 23:46:34,483 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-01 23:47:11,691 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:47:11,719 - pyskl - INFO - +top1_acc 0.9693 +top5_acc 0.9968 +2025-07-01 23:47:11,723 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_92.pth was removed +2025-07-01 23:47:11,921 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. +2025-07-01 23:47:11,921 - pyskl - INFO - Best top1_acc is 0.9693 at 100 epoch. +2025-07-01 23:47:11,923 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9693, top5_acc: 0.9968 +2025-07-01 23:47:54,303 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:31, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.2021, loss: 0.2021 +2025-07-01 23:48:12,326 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1694, loss: 0.1694 +2025-07-01 23:48:30,567 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:18:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1977, loss: 0.1977 +2025-07-01 23:48:48,812 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1982, loss: 0.1982 +2025-07-01 23:49:06,919 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1702, loss: 0.1702 +2025-07-01 23:49:25,280 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:17:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1812, loss: 0.1812 +2025-07-01 23:49:43,280 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:17:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2044, loss: 0.2044 +2025-07-01 23:50:01,566 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9938, loss_cls: 0.2156, loss: 0.2156 +2025-07-01 23:50:20,132 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-01 23:50:57,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:50:57,701 - pyskl - INFO - +top1_acc 0.9622 +top5_acc 0.9961 +2025-07-01 23:50:57,702 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9622, top5_acc: 0.9961 +2025-07-01 23:51:41,580 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:16:45, time: 0.439, data_time: 0.253, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9956, loss_cls: 0.2480, loss: 0.2480 +2025-07-01 23:51:59,414 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1682, loss: 0.1682 +2025-07-01 23:52:17,176 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1550, loss: 0.1550 +2025-07-01 23:52:35,318 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:15:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1634, loss: 0.1634 +2025-07-01 23:52:53,076 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2047, loss: 0.2047 +2025-07-01 23:53:10,822 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2316, loss: 0.2316 +2025-07-01 23:53:29,014 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:14:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1991, loss: 0.1991 +2025-07-01 23:53:46,963 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1714, loss: 0.1714 +2025-07-01 23:54:05,613 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-01 23:54:42,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:54:42,491 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9961 +2025-07-01 23:54:42,492 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9506, top5_acc: 0.9961 +2025-07-01 23:55:26,084 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:13:57, time: 0.436, data_time: 0.251, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1889, loss: 0.1889 +2025-07-01 23:55:44,410 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2037, loss: 0.2037 +2025-07-01 23:56:02,442 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1954, loss: 0.1954 +2025-07-01 23:56:20,476 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1968, loss: 0.1968 +2025-07-01 23:56:38,626 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:12:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2157, loss: 0.2157 +2025-07-01 23:56:56,765 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1811, loss: 0.1811 +2025-07-01 23:57:14,731 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1658, loss: 0.1658 +2025-07-01 23:57:32,969 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:11:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2325, loss: 0.2325 +2025-07-01 23:57:51,886 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-01 23:58:29,261 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:58:29,284 - pyskl - INFO - +top1_acc 0.9681 +top5_acc 0.9968 +2025-07-01 23:58:29,285 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9681, top5_acc: 0.9968 +2025-07-01 23:59:12,053 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:10, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1706, loss: 0.1706 +2025-07-01 23:59:29,922 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:10:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1971, loss: 0.1971 +2025-07-01 23:59:47,897 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1900, loss: 0.1900 +2025-07-02 00:00:05,975 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9962, loss_cls: 0.1950, loss: 0.1950 +2025-07-02 00:00:24,296 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:09:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2042, loss: 0.2042 +2025-07-02 00:00:42,308 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1654, loss: 0.1654 +2025-07-02 00:01:00,507 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1511, loss: 0.1511 +2025-07-02 00:01:18,548 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:08:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1890, loss: 0.1890 +2025-07-02 00:01:37,074 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 00:02:13,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:02:13,837 - pyskl - INFO - +top1_acc 0.9687 +top5_acc 0.9969 +2025-07-02 00:02:13,838 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9687, top5_acc: 0.9969 +2025-07-02 00:02:56,776 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:23, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 00:03:14,932 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 00:03:33,385 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:07:45, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1624, loss: 0.1624 +2025-07-02 00:03:51,627 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1706, loss: 0.1706 +2025-07-02 00:04:09,915 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1742, loss: 0.1742 +2025-07-02 00:04:28,038 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:06:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1716, loss: 0.1716 +2025-07-02 00:04:46,222 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1635, loss: 0.1635 +2025-07-02 00:05:04,306 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 0.2116, loss: 0.2116 +2025-07-02 00:05:23,137 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 00:05:59,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:05:59,779 - pyskl - INFO - +top1_acc 0.9649 +top5_acc 0.9965 +2025-07-02 00:05:59,780 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9649, top5_acc: 0.9965 +2025-07-02 00:06:42,108 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:36, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.2022, loss: 0.2022 +2025-07-02 00:06:59,960 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1803, loss: 0.1803 +2025-07-02 00:07:17,890 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:04:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1708, loss: 0.1708 +2025-07-02 00:07:36,291 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1906, loss: 0.1906 +2025-07-02 00:07:54,346 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1466, loss: 0.1466 +2025-07-02 00:08:12,470 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1616, loss: 0.1616 +2025-07-02 00:08:30,638 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:03:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 00:08:48,801 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1964, loss: 0.1964 +2025-07-02 00:09:07,484 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 00:09:44,506 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:09:44,534 - pyskl - INFO - +top1_acc 0.9638 +top5_acc 0.9971 +2025-07-02 00:09:44,536 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9638, top5_acc: 0.9971 +2025-07-02 00:10:27,173 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:02:49, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1762, loss: 0.1762 +2025-07-02 00:10:45,177 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1485, loss: 0.1485 +2025-07-02 00:11:03,527 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1480, loss: 0.1480 +2025-07-02 00:11:21,742 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:01:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1791, loss: 0.1791 +2025-07-02 00:11:39,728 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1803, loss: 0.1803 +2025-07-02 00:11:58,355 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:14, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1654, loss: 0.1654 +2025-07-02 00:12:16,775 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:00:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1469, loss: 0.1469 +2025-07-02 00:12:35,050 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1665, loss: 0.1665 +2025-07-02 00:12:54,034 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 00:13:31,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:13:31,375 - pyskl - INFO - +top1_acc 0.9712 +top5_acc 0.9968 +2025-07-02 00:13:31,379 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_100.pth was removed +2025-07-02 00:13:31,583 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2025-07-02 00:13:31,584 - pyskl - INFO - Best top1_acc is 0.9712 at 107 epoch. +2025-07-02 00:13:31,586 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9712, top5_acc: 0.9968 +2025-07-02 00:14:14,052 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:02, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1313, loss: 0.1313 +2025-07-02 00:14:32,205 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1598, loss: 0.1598 +2025-07-02 00:14:50,038 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1499, loss: 0.1499 +2025-07-02 00:15:08,216 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9994, loss_cls: 0.1565, loss: 0.1565 +2025-07-02 00:15:26,058 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:58:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1507, loss: 0.1507 +2025-07-02 00:15:44,343 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1424, loss: 0.1424 +2025-07-02 00:16:02,699 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1852, loss: 0.1852 +2025-07-02 00:16:20,822 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:57:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1770, loss: 0.1770 +2025-07-02 00:16:39,403 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 00:17:16,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:17:16,646 - pyskl - INFO - +top1_acc 0.9672 +top5_acc 0.9975 +2025-07-02 00:17:16,647 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9672, top5_acc: 0.9975 +2025-07-02 00:18:00,324 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:15, time: 0.437, data_time: 0.250, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1541, loss: 0.1541 +2025-07-02 00:18:18,336 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:56:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1386, loss: 0.1386 +2025-07-02 00:18:36,378 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 00:18:54,587 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1633, loss: 0.1633 +2025-07-02 00:19:12,169 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:55:59, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1669, loss: 0.1669 +2025-07-02 00:19:30,444 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1460, loss: 0.1460 +2025-07-02 00:19:48,742 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1784, loss: 0.1784 +2025-07-02 00:20:06,864 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9956, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 00:20:25,523 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 00:21:02,790 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:21:02,829 - pyskl - INFO - +top1_acc 0.9719 +top5_acc 0.9975 +2025-07-02 00:21:02,834 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_107.pth was removed +2025-07-02 00:21:03,033 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2025-07-02 00:21:03,033 - pyskl - INFO - Best top1_acc is 0.9719 at 109 epoch. +2025-07-02 00:21:03,035 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9719, top5_acc: 0.9975 +2025-07-02 00:21:45,425 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:27, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1463, loss: 0.1463 +2025-07-02 00:22:03,185 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1251, loss: 0.1251 +2025-07-02 00:22:21,437 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:53:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1376, loss: 0.1376 +2025-07-02 00:22:39,885 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1320, loss: 0.1320 +2025-07-02 00:22:57,692 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1317, loss: 0.1317 +2025-07-02 00:23:16,143 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:52:53, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1409, loss: 0.1409 +2025-07-02 00:23:34,155 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1919, loss: 0.1919 +2025-07-02 00:23:52,443 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1346, loss: 0.1346 +2025-07-02 00:24:11,129 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 00:24:47,769 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:24:47,797 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9972 +2025-07-02 00:24:47,798 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9691, top5_acc: 0.9972 +2025-07-02 00:25:30,549 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:40, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1388, loss: 0.1388 +2025-07-02 00:25:48,625 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 00:26:06,639 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 00:26:24,874 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1521, loss: 0.1521 +2025-07-02 00:26:42,677 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1364, loss: 0.1364 +2025-07-02 00:27:00,676 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1570, loss: 0.1570 +2025-07-02 00:27:18,728 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:49:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1327, loss: 0.1327 +2025-07-02 00:27:37,141 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1372, loss: 0.1372 +2025-07-02 00:27:55,707 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 00:28:33,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:28:33,724 - pyskl - INFO - +top1_acc 0.9720 +top5_acc 0.9974 +2025-07-02 00:28:33,728 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_109.pth was removed +2025-07-02 00:28:33,894 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 00:28:33,895 - pyskl - INFO - Best top1_acc is 0.9720 at 111 epoch. +2025-07-02 00:28:33,896 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9720, top5_acc: 0.9974 +2025-07-02 00:29:16,744 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:48:52, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 00:29:34,993 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0975, loss: 0.0975 +2025-07-02 00:29:53,212 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1366, loss: 0.1366 +2025-07-02 00:30:11,200 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 00:30:29,030 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1454, loss: 0.1454 +2025-07-02 00:30:47,321 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9956, loss_cls: 0.1729, loss: 0.1729 +2025-07-02 00:31:05,372 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:46:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1586, loss: 0.1586 +2025-07-02 00:31:23,733 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1107, loss: 0.1107 +2025-07-02 00:31:42,860 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 00:32:19,587 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:32:19,610 - pyskl - INFO - +top1_acc 0.9737 +top5_acc 0.9967 +2025-07-02 00:32:19,614 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_111.pth was removed +2025-07-02 00:32:19,789 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-07-02 00:32:19,790 - pyskl - INFO - Best top1_acc is 0.9737 at 112 epoch. +2025-07-02 00:32:19,792 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9737, top5_acc: 0.9967 +2025-07-02 00:33:02,600 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:05, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1257, loss: 0.1257 +2025-07-02 00:33:20,185 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1301, loss: 0.1301 +2025-07-02 00:33:38,583 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1427, loss: 0.1427 +2025-07-02 00:33:56,746 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1392, loss: 0.1392 +2025-07-02 00:34:15,105 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:44:49, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9962, loss_cls: 0.1687, loss: 0.1687 +2025-07-02 00:34:33,467 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1299, loss: 0.1299 +2025-07-02 00:34:51,782 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1370, loss: 0.1370 +2025-07-02 00:35:10,047 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1241, loss: 0.1241 +2025-07-02 00:35:28,864 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 00:36:05,453 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:36:05,478 - pyskl - INFO - +top1_acc 0.9730 +top5_acc 0.9965 +2025-07-02 00:36:05,479 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9730, top5_acc: 0.9965 +2025-07-02 00:36:47,715 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:18, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1127, loss: 0.1127 +2025-07-02 00:37:05,573 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:42:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 00:37:23,485 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1246, loss: 0.1246 +2025-07-02 00:37:41,732 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 00:37:59,720 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0994, loss: 0.0994 +2025-07-02 00:38:18,286 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:43, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 00:38:36,060 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 00:38:54,268 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1159, loss: 0.1159 +2025-07-02 00:39:12,710 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 00:39:49,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:39:49,223 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9975 +2025-07-02 00:39:49,227 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_112.pth was removed +2025-07-02 00:39:49,416 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_114.pth. +2025-07-02 00:39:49,416 - pyskl - INFO - Best top1_acc is 0.9745 at 114 epoch. +2025-07-02 00:39:49,418 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9745, top5_acc: 0.9975 +2025-07-02 00:40:31,320 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:30, time: 0.419, data_time: 0.236, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 00:40:48,841 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:11, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 00:41:06,833 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9962, loss_cls: 0.1362, loss: 0.1362 +2025-07-02 00:41:25,089 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 00:41:42,991 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1199, loss: 0.1199 +2025-07-02 00:42:00,942 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:38:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0967, loss: 0.0967 +2025-07-02 00:42:19,285 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1334, loss: 0.1334 +2025-07-02 00:42:37,527 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1548, loss: 0.1548 +2025-07-02 00:42:56,173 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 00:43:33,011 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:43:33,052 - pyskl - INFO - +top1_acc 0.9737 +top5_acc 0.9975 +2025-07-02 00:43:33,054 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9737, top5_acc: 0.9975 +2025-07-02 00:44:17,106 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:42, time: 0.440, data_time: 0.255, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1090, loss: 0.1090 +2025-07-02 00:44:35,377 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0988, loss: 0.0988 +2025-07-02 00:44:53,236 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.1002, loss: 0.1002 +2025-07-02 00:45:11,296 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 00:45:29,361 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9988, loss_cls: 0.1585, loss: 0.1585 +2025-07-02 00:45:47,758 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1238, loss: 0.1238 +2025-07-02 00:46:05,747 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1117, loss: 0.1117 +2025-07-02 00:46:24,240 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:30, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1143, loss: 0.1143 +2025-07-02 00:46:42,852 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 00:47:20,083 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:47:20,117 - pyskl - INFO - +top1_acc 0.9706 +top5_acc 0.9967 +2025-07-02 00:47:20,118 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9706, top5_acc: 0.9967 +2025-07-02 00:48:02,141 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:55, time: 0.420, data_time: 0.238, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1208, loss: 0.1208 +2025-07-02 00:48:20,347 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1165, loss: 0.1165 +2025-07-02 00:48:38,504 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0919, loss: 0.0919 +2025-07-02 00:48:56,573 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:33:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1325, loss: 0.1325 +2025-07-02 00:49:14,552 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1525, loss: 0.1525 +2025-07-02 00:49:32,668 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1263, loss: 0.1263 +2025-07-02 00:49:51,077 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1318, loss: 0.1318 +2025-07-02 00:50:09,174 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1034, loss: 0.1034 +2025-07-02 00:50:27,976 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 00:51:04,606 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:51:04,629 - pyskl - INFO - +top1_acc 0.9730 +top5_acc 0.9972 +2025-07-02 00:51:04,630 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9730, top5_acc: 0.9972 +2025-07-02 00:51:46,977 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:07, time: 0.423, data_time: 0.242, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1317, loss: 0.1317 +2025-07-02 00:52:05,034 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.1017, loss: 0.1017 +2025-07-02 00:52:22,934 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 00:52:41,019 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0904, loss: 0.0904 +2025-07-02 00:52:58,965 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0887, loss: 0.0887 +2025-07-02 00:53:17,281 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1110, loss: 0.1110 +2025-07-02 00:53:35,547 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0927, loss: 0.0927 +2025-07-02 00:53:53,521 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 00:54:12,095 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 00:54:49,430 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:54:49,458 - pyskl - INFO - +top1_acc 0.9730 +top5_acc 0.9969 +2025-07-02 00:54:49,459 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9730, top5_acc: 0.9969 +2025-07-02 00:55:32,754 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:19, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0879, loss: 0.0879 +2025-07-02 00:55:50,608 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0705, loss: 0.0705 +2025-07-02 00:56:09,096 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:42, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 00:56:27,175 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0998, loss: 0.0998 +2025-07-02 00:56:45,317 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9975, loss_cls: 0.0933, loss: 0.0933 +2025-07-02 00:57:03,084 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0724, loss: 0.0724 +2025-07-02 00:57:21,135 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0911, loss: 0.0911 +2025-07-02 00:57:39,571 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 00:57:58,266 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 00:58:35,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:58:35,588 - pyskl - INFO - +top1_acc 0.9709 +top5_acc 0.9975 +2025-07-02 00:58:35,589 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9709, top5_acc: 0.9975 +2025-07-02 00:59:19,328 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:32, time: 0.437, data_time: 0.252, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.1069, loss: 0.1069 +2025-07-02 00:59:37,497 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 00:59:55,451 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1084, loss: 0.1084 +2025-07-02 01:00:13,683 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0870, loss: 0.0870 +2025-07-02 01:00:31,761 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1006, loss: 0.1006 +2025-07-02 01:00:49,671 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0866, loss: 0.0866 +2025-07-02 01:01:07,849 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0668, loss: 0.0668 +2025-07-02 01:01:26,325 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:20, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0919, loss: 0.0919 +2025-07-02 01:01:44,731 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 01:02:21,502 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:02:21,525 - pyskl - INFO - +top1_acc 0.9740 +top5_acc 0.9971 +2025-07-02 01:02:21,526 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9740, top5_acc: 0.9971 +2025-07-02 01:03:03,656 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:44, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0862, loss: 0.0862 +2025-07-02 01:03:22,004 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0888, loss: 0.0888 +2025-07-02 01:03:40,203 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 01:03:58,581 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1078, loss: 0.1078 +2025-07-02 01:04:16,225 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9969, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 01:04:34,147 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0763, loss: 0.0763 +2025-07-02 01:04:52,400 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0845, loss: 0.0845 +2025-07-02 01:05:10,638 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0625, loss: 0.0625 +2025-07-02 01:05:29,240 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 01:06:06,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:06:06,238 - pyskl - INFO - +top1_acc 0.9766 +top5_acc 0.9972 +2025-07-02 01:06:06,243 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_114.pth was removed +2025-07-02 01:06:06,444 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 01:06:06,444 - pyskl - INFO - Best top1_acc is 0.9766 at 121 epoch. +2025-07-02 01:06:06,446 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9766, top5_acc: 0.9972 +2025-07-02 01:06:49,894 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:57, time: 0.434, data_time: 0.252, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0983, loss: 0.0983 +2025-07-02 01:07:07,741 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 01:07:25,814 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0690, loss: 0.0690 +2025-07-02 01:07:43,892 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 01:08:01,788 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 01:08:19,595 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0753, loss: 0.0753 +2025-07-02 01:08:37,572 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0801, loss: 0.0801 +2025-07-02 01:08:55,881 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0942, loss: 0.0942 +2025-07-02 01:09:14,199 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 01:09:50,912 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:09:50,945 - pyskl - INFO - +top1_acc 0.9738 +top5_acc 0.9972 +2025-07-02 01:09:50,946 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9738, top5_acc: 0.9972 +2025-07-02 01:10:33,371 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:08, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0690, loss: 0.0690 +2025-07-02 01:10:51,425 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 01:11:09,357 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0861, loss: 0.0861 +2025-07-02 01:11:27,380 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0800, loss: 0.0800 +2025-07-02 01:11:45,337 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 01:12:03,541 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0915, loss: 0.0915 +2025-07-02 01:12:21,789 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0795, loss: 0.0795 +2025-07-02 01:12:40,179 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9969, loss_cls: 0.1033, loss: 0.1033 +2025-07-02 01:12:58,976 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 01:13:36,182 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:13:36,210 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9968 +2025-07-02 01:13:36,211 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9745, top5_acc: 0.9968 +2025-07-02 01:14:18,879 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:21, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0727, loss: 0.0727 +2025-07-02 01:14:36,994 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 01:14:55,184 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 01:15:13,752 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:24, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0559, loss: 0.0559 +2025-07-02 01:15:31,839 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0627, loss: 0.0627 +2025-07-02 01:15:49,825 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 01:16:08,233 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0862, loss: 0.0862 +2025-07-02 01:16:26,344 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 01:16:44,857 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 01:17:22,018 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:17:22,040 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9971 +2025-07-02 01:17:22,041 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9761, top5_acc: 0.9971 +2025-07-02 01:18:04,931 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:33, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 01:18:22,867 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0636, loss: 0.0636 +2025-07-02 01:18:41,155 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 01:18:59,426 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 01:19:17,590 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 01:19:35,348 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0506, loss: 0.0506 +2025-07-02 01:19:53,563 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 01:20:11,923 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1024, loss: 0.1024 +2025-07-02 01:20:30,927 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 01:21:07,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:21:07,929 - pyskl - INFO - +top1_acc 0.9777 +top5_acc 0.9978 +2025-07-02 01:21:07,933 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_121.pth was removed +2025-07-02 01:21:08,166 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_125.pth. +2025-07-02 01:21:08,166 - pyskl - INFO - Best top1_acc is 0.9777 at 125 epoch. +2025-07-02 01:21:08,168 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9777, top5_acc: 0.9978 +2025-07-02 01:21:50,989 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:45, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 01:22:08,983 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 01:22:27,019 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 01:22:45,489 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:49, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 01:23:03,468 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0559, loss: 0.0559 +2025-07-02 01:23:21,380 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0815, loss: 0.0815 +2025-07-02 01:23:39,600 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0900, loss: 0.0900 +2025-07-02 01:23:58,146 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:33, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 01:24:17,069 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 01:24:55,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:24:55,067 - pyskl - INFO - +top1_acc 0.9740 +top5_acc 0.9972 +2025-07-02 01:24:55,068 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9740, top5_acc: 0.9972 +2025-07-02 01:25:38,176 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:57, time: 0.431, data_time: 0.244, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0830, loss: 0.0830 +2025-07-02 01:25:56,020 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0588, loss: 0.0588 +2025-07-02 01:26:13,917 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 01:26:31,788 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 01:26:49,891 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 01:27:07,684 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 01:27:25,981 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 01:27:43,952 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 01:28:02,741 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 01:28:41,203 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:28:41,231 - pyskl - INFO - +top1_acc 0.9782 +top5_acc 0.9972 +2025-07-02 01:28:41,236 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_125.pth was removed +2025-07-02 01:28:41,517 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 01:28:41,518 - pyskl - INFO - Best top1_acc is 0.9782 at 127 epoch. +2025-07-02 01:28:41,520 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9782, top5_acc: 0.9972 +2025-07-02 01:29:23,769 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:09, time: 0.422, data_time: 0.233, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 01:29:41,737 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 01:29:59,693 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 01:30:17,849 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0729, loss: 0.0729 +2025-07-02 01:30:36,271 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0597, loss: 0.0597 +2025-07-02 01:30:54,237 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0706, loss: 0.0706 +2025-07-02 01:31:11,947 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 01:31:30,269 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0772, loss: 0.0772 +2025-07-02 01:31:48,849 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 01:32:25,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:32:25,909 - pyskl - INFO - +top1_acc 0.9780 +top5_acc 0.9979 +2025-07-02 01:32:25,911 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9780, top5_acc: 0.9979 +2025-07-02 01:33:08,106 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:21, time: 0.422, data_time: 0.235, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 01:33:25,727 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:02, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 01:33:43,840 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 01:34:02,079 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0631, loss: 0.0631 +2025-07-02 01:34:19,804 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:06, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 01:34:37,628 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0691, loss: 0.0691 +2025-07-02 01:34:55,535 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0561, loss: 0.0561 +2025-07-02 01:35:13,422 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 01:35:31,590 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 01:36:07,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:36:07,940 - pyskl - INFO - +top1_acc 0.9782 +top5_acc 0.9974 +2025-07-02 01:36:07,941 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9782, top5_acc: 0.9974 +2025-07-02 01:36:50,029 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:33, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0885, loss: 0.0885 +2025-07-02 01:37:08,172 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 01:37:26,106 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0521, loss: 0.0521 +2025-07-02 01:37:44,326 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0590, loss: 0.0590 +2025-07-02 01:38:02,104 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 01:38:20,150 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:56:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0822, loss: 0.0822 +2025-07-02 01:38:38,158 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0589, loss: 0.0589 +2025-07-02 01:38:56,166 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 01:39:14,495 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 01:39:51,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:39:51,309 - pyskl - INFO - +top1_acc 0.9786 +top5_acc 0.9974 +2025-07-02 01:39:51,313 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_127.pth was removed +2025-07-02 01:39:51,482 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2025-07-02 01:39:51,482 - pyskl - INFO - Best top1_acc is 0.9786 at 130 epoch. +2025-07-02 01:39:51,484 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9786, top5_acc: 0.9974 +2025-07-02 01:40:33,934 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:45, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 01:40:52,163 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 01:41:10,505 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 01:41:28,836 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 01:41:46,601 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 01:42:04,880 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 01:42:22,941 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 01:42:40,899 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 01:42:59,616 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 01:43:36,322 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:43:36,351 - pyskl - INFO - +top1_acc 0.9791 +top5_acc 0.9972 +2025-07-02 01:43:36,355 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_130.pth was removed +2025-07-02 01:43:36,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 01:43:36,550 - pyskl - INFO - Best top1_acc is 0.9791 at 131 epoch. +2025-07-02 01:43:36,552 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9791, top5_acc: 0.9972 +2025-07-02 01:44:18,908 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:57, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 01:44:37,054 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 01:44:55,734 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:19, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 01:45:13,846 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 01:45:31,784 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 01:45:50,393 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:23, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 01:46:08,317 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 01:46:26,680 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 01:46:45,129 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 01:47:21,731 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:47:21,759 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9975 +2025-07-02 01:47:21,761 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9784, top5_acc: 0.9975 +2025-07-02 01:48:04,580 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:09, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 01:48:22,710 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:50, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 01:48:41,031 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 01:48:59,134 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0699, loss: 0.0699 +2025-07-02 01:49:17,239 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 01:49:35,264 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 01:49:53,052 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 01:50:11,038 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 01:50:29,335 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 01:51:05,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:51:05,914 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9981 +2025-07-02 01:51:05,918 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_131.pth was removed +2025-07-02 01:51:06,086 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 01:51:06,086 - pyskl - INFO - Best top1_acc is 0.9801 at 133 epoch. +2025-07-02 01:51:06,088 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9801, top5_acc: 0.9981 +2025-07-02 01:51:48,571 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:21, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 01:52:06,725 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 01:52:24,914 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 01:52:42,775 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 01:53:00,824 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 01:53:18,933 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 01:53:36,808 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 01:53:54,769 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 01:54:13,259 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 01:54:50,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:54:50,162 - pyskl - INFO - +top1_acc 0.9804 +top5_acc 0.9979 +2025-07-02 01:54:50,167 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_133.pth was removed +2025-07-02 01:54:50,334 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 01:54:50,334 - pyskl - INFO - Best top1_acc is 0.9804 at 134 epoch. +2025-07-02 01:54:50,336 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9804, top5_acc: 0.9979 +2025-07-02 01:55:32,613 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:32, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 01:55:50,698 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 01:56:08,629 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 01:56:27,067 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:36, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 01:56:45,044 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0523, loss: 0.0523 +2025-07-02 01:57:02,927 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 01:57:20,785 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 01:57:39,172 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 01:57:57,470 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 01:58:34,608 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:58:34,631 - pyskl - INFO - +top1_acc 0.9797 +top5_acc 0.9981 +2025-07-02 01:58:34,632 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9797, top5_acc: 0.9981 +2025-07-02 01:59:16,561 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:44, time: 0.419, data_time: 0.234, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 01:59:34,400 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:25, time: 0.178, data_time: 0.001, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 01:59:52,334 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0479, loss: 0.0479 +2025-07-02 02:00:10,163 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 02:00:27,643 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:29, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 02:00:45,601 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 02:01:03,431 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 02:01:21,273 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 02:01:39,723 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 02:02:17,229 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:02:17,257 - pyskl - INFO - +top1_acc 0.9789 +top5_acc 0.9978 +2025-07-02 02:02:17,259 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9789, top5_acc: 0.9978 +2025-07-02 02:03:00,295 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:56, time: 0.430, data_time: 0.249, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0483, loss: 0.0483 +2025-07-02 02:03:18,643 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 02:03:36,804 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 02:03:54,759 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:37:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0551, loss: 0.0551 +2025-07-02 02:04:12,495 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 02:04:30,911 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:22, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 02:04:49,009 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 02:05:06,917 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 02:05:25,717 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 02:06:04,001 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:06:04,029 - pyskl - INFO - +top1_acc 0.9780 +top5_acc 0.9981 +2025-07-02 02:06:04,030 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9780, top5_acc: 0.9981 +2025-07-02 02:06:46,919 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:08, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0575, loss: 0.0575 +2025-07-02 02:07:05,036 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 02:07:23,261 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:30, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0484, loss: 0.0484 +2025-07-02 02:07:41,531 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 02:07:59,428 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 02:08:17,634 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 02:08:35,976 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 02:08:54,333 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 02:09:13,024 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 02:09:49,942 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:09:49,971 - pyskl - INFO - +top1_acc 0.9791 +top5_acc 0.9978 +2025-07-02 02:09:49,972 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9791, top5_acc: 0.9978 +2025-07-02 02:10:34,256 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:20, time: 0.443, data_time: 0.257, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 02:10:52,415 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 02:11:10,626 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 02:11:29,081 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 02:11:47,159 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 02:12:05,287 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 02:12:23,401 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 02:12:41,333 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 02:12:59,772 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 02:13:36,795 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:13:36,823 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9979 +2025-07-02 02:13:36,824 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9784, top5_acc: 0.9979 +2025-07-02 02:14:19,891 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:32, time: 0.431, data_time: 0.250, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 02:14:37,694 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0531, loss: 0.0531 +2025-07-02 02:14:55,554 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 02:15:13,753 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 02:15:31,445 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9981, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:15:49,858 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 02:16:08,050 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0485, loss: 0.0485 +2025-07-02 02:16:26,115 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 02:16:44,674 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 02:17:21,744 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:17:21,773 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9983 +2025-07-02 02:17:21,774 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9801, top5_acc: 0.9983 +2025-07-02 02:18:04,669 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:44, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 02:18:23,030 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:25, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 02:18:41,069 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 02:18:59,081 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0580, loss: 0.0580 +2025-07-02 02:19:17,017 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 02:19:34,906 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 02:19:52,825 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 02:20:10,897 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 02:20:28,992 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 02:21:06,892 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:21:06,920 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9976 +2025-07-02 02:21:06,922 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9790, top5_acc: 0.9976 +2025-07-02 02:21:50,366 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:55, time: 0.434, data_time: 0.250, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 02:22:08,468 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 02:22:26,760 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 02:22:45,125 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 02:23:03,158 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 02:23:21,392 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 02:23:39,805 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 02:23:58,074 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 02:24:16,918 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 02:24:54,162 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:24:54,191 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9979 +2025-07-02 02:24:54,193 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9790, top5_acc: 0.9979 +2025-07-02 02:25:38,197 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:07, time: 0.440, data_time: 0.259, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 02:25:56,458 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 02:26:14,663 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 02:26:32,481 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 02:26:50,216 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 02:27:08,345 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 02:27:26,332 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 02:27:44,227 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0379, loss: 0.0379 +2025-07-02 02:28:03,155 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 02:28:41,145 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:28:41,174 - pyskl - INFO - +top1_acc 0.9787 +top5_acc 0.9976 +2025-07-02 02:28:41,175 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9787, top5_acc: 0.9976 +2025-07-02 02:29:23,687 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:19, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 02:29:41,708 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 02:29:59,883 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 02:30:18,087 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:30:35,913 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 02:30:53,966 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 02:31:11,868 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 02:31:29,926 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 02:31:48,649 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 02:32:24,930 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:32:24,959 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9981 +2025-07-02 02:32:24,961 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9801, top5_acc: 0.9981 +2025-07-02 02:33:07,468 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:31, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 02:33:25,355 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 02:33:43,233 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 02:34:01,010 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 02:34:18,956 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 02:34:37,196 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 02:34:55,051 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0196, loss: 0.0196 +2025-07-02 02:35:13,040 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:35:31,582 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 02:36:08,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:36:08,456 - pyskl - INFO - +top1_acc 0.9808 +top5_acc 0.9978 +2025-07-02 02:36:08,460 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_134.pth was removed +2025-07-02 02:36:08,622 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. +2025-07-02 02:36:08,622 - pyskl - INFO - Best top1_acc is 0.9808 at 145 epoch. +2025-07-02 02:36:08,624 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9808, top5_acc: 0.9978 +2025-07-02 02:36:50,430 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:42, time: 0.418, data_time: 0.236, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 02:37:08,205 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 02:37:26,543 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 02:37:44,457 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 02:38:02,352 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 02:38:20,172 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 02:38:38,109 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 02:38:55,843 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 02:39:13,881 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 02:39:50,640 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:39:50,662 - pyskl - INFO - +top1_acc 0.9804 +top5_acc 0.9976 +2025-07-02 02:39:50,663 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9804, top5_acc: 0.9976 +2025-07-02 02:40:33,848 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:54, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 02:40:52,041 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 02:41:10,196 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 02:41:28,641 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 02:41:46,420 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 02:42:04,510 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 02:42:22,765 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 02:42:40,388 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:43, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 02:42:58,686 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 02:43:35,180 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:43:35,203 - pyskl - INFO - +top1_acc 0.9807 +top5_acc 0.9979 +2025-07-02 02:43:35,204 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9807, top5_acc: 0.9979 +2025-07-02 02:44:17,480 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:06, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 02:44:35,576 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 02:44:53,229 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 02:45:11,192 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 02:45:29,160 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 02:45:46,881 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 02:46:05,339 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:13, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 02:46:23,232 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 02:46:41,460 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 02:47:18,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:47:18,995 - pyskl - INFO - +top1_acc 0.9815 +top5_acc 0.9981 +2025-07-02 02:47:18,999 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_145.pth was removed +2025-07-02 02:47:19,168 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_148.pth. +2025-07-02 02:47:19,168 - pyskl - INFO - Best top1_acc is 0.9815 at 148 epoch. +2025-07-02 02:47:19,170 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9815, top5_acc: 0.9981 +2025-07-02 02:48:02,077 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:17, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 02:48:20,161 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 02:48:38,269 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 02:48:56,238 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 02:49:14,022 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 02:49:31,692 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 02:49:49,456 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 02:50:06,944 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:06, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 02:50:25,491 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 02:51:01,929 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:51:01,953 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9979 +2025-07-02 02:51:01,954 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9801, top5_acc: 0.9979 +2025-07-02 02:51:44,568 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0347, loss: 0.0347 +2025-07-02 02:52:02,702 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 02:52:20,224 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 02:52:37,763 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 02:52:55,678 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 02:53:12,871 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.172, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 02:53:30,613 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 02:53:48,127 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 02:54:05,800 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 02:54:41,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:54:41,169 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9978 +2025-07-02 02:54:41,171 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9795, top5_acc: 0.9978 +2025-07-02 02:54:48,708 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 02:58:19,355 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 02:58:19,356 - pyskl - INFO - top1_acc: 0.9800 +2025-07-02 02:58:19,356 - pyskl - INFO - top5_acc: 0.9979 +2025-07-02 02:58:19,356 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/j_2/best_top1_acc_epoch_148.pth +2025-07-02 03:01:40,026 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 03:01:40,027 - pyskl - INFO - top1_acc: 0.9816 +2025-07-02 03:01:40,027 - pyskl - INFO - top5_acc: 0.9976 diff --git a/pku_mmd_xview/j_2/20250701_173531.log.json b/pku_mmd_xview/j_2/20250701_173531.log.json new file mode 100644 index 0000000000000000000000000000000000000000..7dab77c7b59d121d32ba9a77052862c7102a6f0d --- /dev/null +++ b/pku_mmd_xview/j_2/20250701_173531.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.12.0\nOpenCV: 4.8.0\nMMCV: 1.5.0\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.3\npyskl: 0.1.0+", "seed": 1092718816, "config_name": "j_2.py", "work_dir": "j_2", "hook_msgs": {}} +{"mode": 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450, "lr": 0.0, "top1_acc": 0.97955, "top5_acc": 0.99777} diff --git a/pku_mmd_xview/j_2/best_pred.pkl b/pku_mmd_xview/j_2/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..3ba4659731ea9b591e46dad7e4702491a5ae2197 --- /dev/null +++ b/pku_mmd_xview/j_2/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c8eebd5471ec08cef6e40a321a29a681d298cb64e4f6aa9909abae585d5022c +size 2539293 diff --git a/pku_mmd_xview/j_2/best_top1_acc_epoch_148.pth b/pku_mmd_xview/j_2/best_top1_acc_epoch_148.pth new file mode 100644 index 0000000000000000000000000000000000000000..b92d418c5f2f8763fbfebe87641641260cbbbe4c --- /dev/null +++ b/pku_mmd_xview/j_2/best_top1_acc_epoch_148.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:385a5d737ccf62ea92d19904a7bc8c35ebb6f6a6488ba828c88b87d83795006f +size 32917105 diff --git a/pku_mmd_xview/j_2/j_2.py b/pku_mmd_xview/j_2/j_2.py new file mode 100644 index 0000000000000000000000000000000000000000..024b04b571c7caca5a3d429695e619db79e5a1ed --- /dev/null +++ b/pku_mmd_xview/j_2/j_2.py @@ -0,0 +1,98 @@ +modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/j_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/j_3/20250701_173438.log b/pku_mmd_xview/j_3/20250701_173438.log new file mode 100644 index 0000000000000000000000000000000000000000..0be35b1cfeceeda5acaa6f44829a1e7002878474 --- /dev/null +++ b/pku_mmd_xview/j_3/20250701_173438.log @@ -0,0 +1,2392 @@ +2025-07-01 17:34:38,311 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-01 17:34:38,630 - pyskl - INFO - Config: modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/j_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-01 17:34:38,630 - pyskl - INFO - Set random seed to 971755283, deterministic: False +2025-07-01 17:34:44,085 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-01 17:34:51,528 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-01 17:34:51,529 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3 +2025-07-01 17:34:51,529 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-01 17:34:51,529 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-01 17:34:51,529 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3 by HardDiskBackend. +2025-07-01 17:35:32,617 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:21:38, time: 0.411, data_time: 0.236, memory: 2902, top1_acc: 0.0650, top5_acc: 0.2362, loss_cls: 4.2819, loss: 4.2819 +2025-07-01 17:35:49,969 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:54:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1244, top5_acc: 0.4081, loss_cls: 3.8812, loss: 3.8812 +2025-07-01 17:36:07,412 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:26:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1688, top5_acc: 0.5437, loss_cls: 3.4821, loss: 3.4821 +2025-07-01 17:36:24,875 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:42:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.2269, top5_acc: 0.6512, loss_cls: 3.1298, loss: 3.1298 +2025-07-01 17:36:42,818 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:17:47, time: 0.179, data_time: 0.001, memory: 2902, top1_acc: 0.2894, top5_acc: 0.7362, loss_cls: 2.8290, loss: 2.8290 +2025-07-01 17:37:00,157 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:59:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.3231, top5_acc: 0.7675, loss_cls: 2.6748, loss: 2.6748 +2025-07-01 17:37:17,508 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:45:40, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.3506, top5_acc: 0.8019, loss_cls: 2.5684, loss: 2.5684 +2025-07-01 17:37:34,739 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:35:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.3981, top5_acc: 0.8269, loss_cls: 2.3751, loss: 2.3751 +2025-07-01 17:37:52,627 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-01 17:38:31,684 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:38:31,712 - pyskl - INFO - +top1_acc 0.4976 +top5_acc 0.9247 +2025-07-01 17:38:31,909 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-01 17:38:31,909 - pyskl - INFO - Best top1_acc is 0.4976 at 1 epoch. +2025-07-01 17:38:31,911 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.4976, top5_acc: 0.9247 +2025-07-01 17:39:14,631 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:39:44, time: 0.427, data_time: 0.253, memory: 2902, top1_acc: 0.4863, top5_acc: 0.8756, loss_cls: 2.0983, loss: 2.0983 +2025-07-01 17:39:31,902 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:32:35, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5075, top5_acc: 0.8894, loss_cls: 2.0468, loss: 2.0468 +2025-07-01 17:39:48,990 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:26:13, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.5506, top5_acc: 0.8862, loss_cls: 1.9302, loss: 1.9302 +2025-07-01 17:40:06,517 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:21:33, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.5600, top5_acc: 0.9144, loss_cls: 1.8584, loss: 1.8584 +2025-07-01 17:40:23,907 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:17:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5594, top5_acc: 0.9219, loss_cls: 1.8093, loss: 1.8093 +2025-07-01 17:40:41,432 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:13:46, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6006, top5_acc: 0.9269, loss_cls: 1.7001, loss: 1.7001 +2025-07-01 17:40:58,654 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:10:14, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6275, top5_acc: 0.9313, loss_cls: 1.6382, loss: 1.6382 +2025-07-01 17:41:15,837 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:07:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6062, top5_acc: 0.9169, loss_cls: 1.6565, loss: 1.6565 +2025-07-01 17:41:33,574 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-01 17:42:12,178 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:42:12,206 - pyskl - INFO - +top1_acc 0.7352 +top5_acc 0.9755 +2025-07-01 17:42:12,211 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_1.pth was removed +2025-07-01 17:42:12,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-01 17:42:12,410 - pyskl - INFO - Best top1_acc is 0.7352 at 2 epoch. +2025-07-01 17:42:12,412 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.7352, top5_acc: 0.9755 +2025-07-01 17:42:54,418 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:10:53, time: 0.420, data_time: 0.249, memory: 2902, top1_acc: 0.6425, top5_acc: 0.9300, loss_cls: 1.5818, loss: 1.5818 +2025-07-01 17:43:11,880 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:08:20, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6763, top5_acc: 0.9450, loss_cls: 1.4573, loss: 1.4573 +2025-07-01 17:43:29,362 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:06:02, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6663, top5_acc: 0.9375, loss_cls: 1.4915, loss: 1.4915 +2025-07-01 17:43:46,607 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:03:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6600, top5_acc: 0.9344, loss_cls: 1.5264, loss: 1.5264 +2025-07-01 17:44:03,858 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:01:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6725, top5_acc: 0.9406, loss_cls: 1.4369, loss: 1.4369 +2025-07-01 17:44:21,325 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:59:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6769, top5_acc: 0.9463, loss_cls: 1.4661, loss: 1.4661 +2025-07-01 17:44:38,784 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:57:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7063, top5_acc: 0.9519, loss_cls: 1.3685, loss: 1.3685 +2025-07-01 17:44:56,099 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:56:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6963, top5_acc: 0.9587, loss_cls: 1.3657, loss: 1.3657 +2025-07-01 17:45:14,060 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-01 17:45:53,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:45:53,278 - pyskl - INFO - +top1_acc 0.7925 +top5_acc 0.9807 +2025-07-01 17:45:53,283 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_2.pth was removed +2025-07-01 17:45:53,467 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-01 17:45:53,468 - pyskl - INFO - Best top1_acc is 0.7925 at 3 epoch. +2025-07-01 17:45:53,469 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7925, top5_acc: 0.9807 +2025-07-01 17:46:37,590 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 7:00:52, time: 0.441, data_time: 0.271, memory: 2902, top1_acc: 0.7275, top5_acc: 0.9581, loss_cls: 1.2530, loss: 1.2530 +2025-07-01 17:46:55,074 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:59:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7069, top5_acc: 0.9537, loss_cls: 1.3303, loss: 1.3303 +2025-07-01 17:47:12,336 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:57:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7125, top5_acc: 0.9475, loss_cls: 1.3428, loss: 1.3428 +2025-07-01 17:47:29,734 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:56:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7075, top5_acc: 0.9644, loss_cls: 1.2708, loss: 1.2708 +2025-07-01 17:47:46,997 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:54:40, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7156, top5_acc: 0.9587, loss_cls: 1.3236, loss: 1.3236 +2025-07-01 17:48:04,114 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:53:09, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7000, top5_acc: 0.9481, loss_cls: 1.3277, loss: 1.3277 +2025-07-01 17:48:21,251 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:51:43, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7200, top5_acc: 0.9519, loss_cls: 1.2794, loss: 1.2794 +2025-07-01 17:48:38,356 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:50:20, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7469, top5_acc: 0.9663, loss_cls: 1.1960, loss: 1.1960 +2025-07-01 17:48:56,035 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-01 17:49:34,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:49:34,110 - pyskl - INFO - +top1_acc 0.7891 +top5_acc 0.9821 +2025-07-01 17:49:34,110 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7891, top5_acc: 0.9821 +2025-07-01 17:50:16,893 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:53:03, time: 0.428, data_time: 0.253, memory: 2902, top1_acc: 0.7412, top5_acc: 0.9656, loss_cls: 1.1898, loss: 1.1898 +2025-07-01 17:50:34,276 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:51:51, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7481, top5_acc: 0.9613, loss_cls: 1.1820, loss: 1.1820 +2025-07-01 17:50:51,589 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:50:39, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7494, top5_acc: 0.9575, loss_cls: 1.2078, loss: 1.2078 +2025-07-01 17:51:09,169 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:49:39, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7506, top5_acc: 0.9631, loss_cls: 1.1589, loss: 1.1589 +2025-07-01 17:51:26,621 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:48:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7525, top5_acc: 0.9613, loss_cls: 1.2051, loss: 1.2051 +2025-07-01 17:51:43,946 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:47:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7325, top5_acc: 0.9594, loss_cls: 1.2345, loss: 1.2345 +2025-07-01 17:52:01,079 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:46:26, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7612, top5_acc: 0.9637, loss_cls: 1.1320, loss: 1.1320 +2025-07-01 17:52:18,508 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:45:29, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7650, top5_acc: 0.9694, loss_cls: 1.1118, loss: 1.1118 +2025-07-01 17:52:36,758 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-01 17:53:14,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:53:15,000 - pyskl - INFO - +top1_acc 0.7738 +top5_acc 0.9777 +2025-07-01 17:53:15,002 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.7738, top5_acc: 0.9777 +2025-07-01 17:53:57,456 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:47:28, time: 0.424, data_time: 0.249, memory: 2902, top1_acc: 0.7669, top5_acc: 0.9663, loss_cls: 1.0843, loss: 1.0843 +2025-07-01 17:54:14,810 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:46:29, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7556, top5_acc: 0.9669, loss_cls: 1.1296, loss: 1.1296 +2025-07-01 17:54:32,140 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:45:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7700, top5_acc: 0.9694, loss_cls: 1.0754, loss: 1.0754 +2025-07-01 17:54:49,736 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:44:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7706, top5_acc: 0.9663, loss_cls: 1.1110, loss: 1.1110 +2025-07-01 17:55:06,951 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:43:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7519, top5_acc: 0.9688, loss_cls: 1.1186, loss: 1.1186 +2025-07-01 17:55:24,265 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:42:52, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7662, top5_acc: 0.9625, loss_cls: 1.1092, loss: 1.1092 +2025-07-01 17:55:41,626 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:42:01, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7756, top5_acc: 0.9700, loss_cls: 1.0663, loss: 1.0663 +2025-07-01 17:55:58,877 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:41:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7700, top5_acc: 0.9644, loss_cls: 1.0916, loss: 1.0916 +2025-07-01 17:56:16,687 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-01 17:56:54,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 17:56:54,916 - pyskl - INFO - +top1_acc 0.8213 +top5_acc 0.9872 +2025-07-01 17:56:54,920 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_3.pth was removed +2025-07-01 17:56:55,094 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-01 17:56:55,094 - pyskl - INFO - Best top1_acc is 0.8213 at 6 epoch. +2025-07-01 17:56:55,096 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8213, top5_acc: 0.9872 +2025-07-01 17:57:37,493 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:42:43, time: 0.424, data_time: 0.250, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9688, loss_cls: 1.0622, loss: 1.0622 +2025-07-01 17:57:54,801 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:41:52, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7919, top5_acc: 0.9700, loss_cls: 0.9976, loss: 0.9976 +2025-07-01 17:58:12,078 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:41:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9712, loss_cls: 1.0165, loss: 1.0165 +2025-07-01 17:58:29,671 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:40:19, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7806, top5_acc: 0.9681, loss_cls: 1.0533, loss: 1.0533 +2025-07-01 17:58:46,924 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:39:31, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9706, loss_cls: 1.0120, loss: 1.0120 +2025-07-01 17:59:04,028 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:38:40, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9719, loss_cls: 1.0194, loss: 1.0194 +2025-07-01 17:59:21,330 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:37:54, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7706, top5_acc: 0.9762, loss_cls: 1.0271, loss: 1.0271 +2025-07-01 17:59:38,540 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:37:07, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9688, loss_cls: 1.0348, loss: 1.0348 +2025-07-01 17:59:55,966 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-01 18:00:34,506 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:00:34,531 - pyskl - INFO - +top1_acc 0.8584 +top5_acc 0.9903 +2025-07-01 18:00:34,535 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_6.pth was removed +2025-07-01 18:00:34,701 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-01 18:00:34,702 - pyskl - INFO - Best top1_acc is 0.8584 at 7 epoch. +2025-07-01 18:00:34,703 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8584, top5_acc: 0.9903 +2025-07-01 18:01:17,080 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:38:24, time: 0.424, data_time: 0.248, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9719, loss_cls: 0.9824, loss: 0.9824 +2025-07-01 18:01:34,534 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:37:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9681, loss_cls: 1.0453, loss: 1.0453 +2025-07-01 18:01:51,778 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:36:57, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9712, loss_cls: 0.9620, loss: 0.9620 +2025-07-01 18:02:08,956 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:36:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9719, loss_cls: 0.9396, loss: 0.9396 +2025-07-01 18:02:26,300 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:35:30, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8019, top5_acc: 0.9725, loss_cls: 0.9542, loss: 0.9542 +2025-07-01 18:02:43,594 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:34:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9744, loss_cls: 0.9744, loss: 0.9744 +2025-07-01 18:03:00,856 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:34:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9781, loss_cls: 0.8974, loss: 0.8974 +2025-07-01 18:03:18,102 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:33:25, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9706, loss_cls: 0.9627, loss: 0.9627 +2025-07-01 18:03:35,902 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-01 18:04:14,112 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:04:14,150 - pyskl - INFO - +top1_acc 0.8741 +top5_acc 0.9914 +2025-07-01 18:04:14,155 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_7.pth was removed +2025-07-01 18:04:14,356 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-01 18:04:14,356 - pyskl - INFO - Best top1_acc is 0.8741 at 8 epoch. +2025-07-01 18:04:14,358 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8741, top5_acc: 0.9914 +2025-07-01 18:04:56,596 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:34:26, time: 0.422, data_time: 0.250, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9750, loss_cls: 0.9258, loss: 0.9258 +2025-07-01 18:05:13,801 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:33:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8006, top5_acc: 0.9694, loss_cls: 0.9304, loss: 0.9304 +2025-07-01 18:05:31,118 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:33:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9744, loss_cls: 0.9561, loss: 0.9561 +2025-07-01 18:05:48,501 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:32:26, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9744, loss_cls: 0.9606, loss: 0.9606 +2025-07-01 18:06:05,809 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:31:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8006, top5_acc: 0.9750, loss_cls: 0.9215, loss: 0.9215 +2025-07-01 18:06:23,244 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:31:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9700, loss_cls: 0.9770, loss: 0.9770 +2025-07-01 18:06:40,670 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:30:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8025, top5_acc: 0.9775, loss_cls: 0.9405, loss: 0.9405 +2025-07-01 18:06:57,970 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:29:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9738, loss_cls: 0.9445, loss: 0.9445 +2025-07-01 18:07:15,781 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-01 18:07:53,509 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:07:53,537 - pyskl - INFO - +top1_acc 0.8751 +top5_acc 0.9911 +2025-07-01 18:07:53,542 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_8.pth was removed +2025-07-01 18:07:53,734 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-01 18:07:53,734 - pyskl - INFO - Best top1_acc is 0.8751 at 9 epoch. +2025-07-01 18:07:53,736 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8751, top5_acc: 0.9911 +2025-07-01 18:08:35,606 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:30:44, time: 0.419, data_time: 0.245, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9725, loss_cls: 0.9467, loss: 0.9467 +2025-07-01 18:08:52,984 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:30:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9700, loss_cls: 0.9364, loss: 0.9364 +2025-07-01 18:09:10,264 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:29:31, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 0.8206, loss: 0.8206 +2025-07-01 18:09:27,931 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:29:00, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8269, top5_acc: 0.9838, loss_cls: 0.8231, loss: 0.8231 +2025-07-01 18:09:45,130 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:28:22, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9775, loss_cls: 0.8801, loss: 0.8801 +2025-07-01 18:10:02,333 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:27:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9712, loss_cls: 0.9150, loss: 0.9150 +2025-07-01 18:10:19,723 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:27:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9788, loss_cls: 0.8343, loss: 0.8343 +2025-07-01 18:10:37,065 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:26:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 0.8890, loss: 0.8890 +2025-07-01 18:10:54,753 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-01 18:11:32,462 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:11:32,485 - pyskl - INFO - +top1_acc 0.8568 +top5_acc 0.9911 +2025-07-01 18:11:32,486 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8568, top5_acc: 0.9911 +2025-07-01 18:12:13,965 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:27:10, time: 0.415, data_time: 0.247, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9825, loss_cls: 0.8254, loss: 0.8254 +2025-07-01 18:12:31,379 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:26:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9800, loss_cls: 0.8595, loss: 0.8595 +2025-07-01 18:12:48,754 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:26:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9756, loss_cls: 0.8924, loss: 0.8924 +2025-07-01 18:13:05,960 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:25:28, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9775, loss_cls: 0.8430, loss: 0.8430 +2025-07-01 18:13:23,194 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:24:53, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9781, loss_cls: 0.8271, loss: 0.8271 +2025-07-01 18:13:40,506 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:24:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9762, loss_cls: 0.8772, loss: 0.8772 +2025-07-01 18:13:58,053 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:23:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9712, loss_cls: 0.9042, loss: 0.9042 +2025-07-01 18:14:15,259 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:23:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9731, loss_cls: 0.8934, loss: 0.8934 +2025-07-01 18:14:33,037 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-01 18:15:11,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:15:11,189 - pyskl - INFO - +top1_acc 0.8757 +top5_acc 0.9897 +2025-07-01 18:15:11,194 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_9.pth was removed +2025-07-01 18:15:11,367 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-01 18:15:11,367 - pyskl - INFO - Best top1_acc is 0.8757 at 11 epoch. +2025-07-01 18:15:11,369 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8757, top5_acc: 0.9897 +2025-07-01 18:15:55,453 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:24:15, time: 0.441, data_time: 0.268, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9788, loss_cls: 0.8422, loss: 0.8422 +2025-07-01 18:16:12,724 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:23:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9738, loss_cls: 0.8870, loss: 0.8870 +2025-07-01 18:16:29,959 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:23:08, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9769, loss_cls: 0.8645, loss: 0.8645 +2025-07-01 18:16:47,446 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:22:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9762, loss_cls: 0.8471, loss: 0.8471 +2025-07-01 18:17:04,866 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:22:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9825, loss_cls: 0.8261, loss: 0.8261 +2025-07-01 18:17:22,290 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:21:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9806, loss_cls: 0.8167, loss: 0.8167 +2025-07-01 18:17:39,667 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:21:05, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9819, loss_cls: 0.8371, loss: 0.8371 +2025-07-01 18:17:57,149 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:20:36, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9856, loss_cls: 0.7644, loss: 0.7644 +2025-07-01 18:18:15,247 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-01 18:18:54,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:18:54,311 - pyskl - INFO - +top1_acc 0.8938 +top5_acc 0.9925 +2025-07-01 18:18:54,316 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_11.pth was removed +2025-07-01 18:18:54,539 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-01 18:18:54,539 - pyskl - INFO - Best top1_acc is 0.8938 at 12 epoch. +2025-07-01 18:18:54,542 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8938, top5_acc: 0.9925 +2025-07-01 18:19:37,118 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:21:09, time: 0.426, data_time: 0.254, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9750, loss_cls: 0.7987, loss: 0.7987 +2025-07-01 18:19:54,595 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:20:39, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9819, loss_cls: 0.8157, loss: 0.8157 +2025-07-01 18:20:11,964 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:20:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9850, loss_cls: 0.7871, loss: 0.7871 +2025-07-01 18:20:29,491 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:19:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9806, loss_cls: 0.8354, loss: 0.8354 +2025-07-01 18:20:46,965 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:19:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9756, loss_cls: 0.8053, loss: 0.8053 +2025-07-01 18:21:04,351 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:18:41, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9794, loss_cls: 0.8607, loss: 0.8607 +2025-07-01 18:21:21,650 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:18:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9788, loss_cls: 0.8470, loss: 0.8470 +2025-07-01 18:21:38,988 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:17:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9756, loss_cls: 0.8050, loss: 0.8050 +2025-07-01 18:21:56,975 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-01 18:22:34,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:22:34,686 - pyskl - INFO - +top1_acc 0.8511 +top5_acc 0.9886 +2025-07-01 18:22:34,688 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8511, top5_acc: 0.9886 +2025-07-01 18:23:16,912 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:18:05, time: 0.422, data_time: 0.250, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 0.7346, loss: 0.7346 +2025-07-01 18:23:34,549 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:17:38, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9769, loss_cls: 0.7907, loss: 0.7907 +2025-07-01 18:23:52,456 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:17:14, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9756, loss_cls: 0.8220, loss: 0.8220 +2025-07-01 18:24:10,154 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:16:48, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9756, loss_cls: 0.7980, loss: 0.7980 +2025-07-01 18:24:27,534 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:16:19, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9856, loss_cls: 0.7317, loss: 0.7317 +2025-07-01 18:24:45,105 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:15:52, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9800, loss_cls: 0.8229, loss: 0.8229 +2025-07-01 18:25:02,285 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:15:21, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8269, top5_acc: 0.9731, loss_cls: 0.8321, loss: 0.8321 +2025-07-01 18:25:19,505 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:14:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9788, loss_cls: 0.8254, loss: 0.8254 +2025-07-01 18:25:37,313 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-01 18:26:15,078 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:26:15,106 - pyskl - INFO - +top1_acc 0.8282 +top5_acc 0.9840 +2025-07-01 18:26:15,107 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8282, top5_acc: 0.9840 +2025-07-01 18:26:57,285 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:15:10, time: 0.422, data_time: 0.248, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9806, loss_cls: 0.7754, loss: 0.7754 +2025-07-01 18:27:14,887 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:14:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9844, loss_cls: 0.7774, loss: 0.7774 +2025-07-01 18:27:32,300 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:14:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 0.8107, loss: 0.8107 +2025-07-01 18:27:49,734 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:13:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9850, loss_cls: 0.7241, loss: 0.7241 +2025-07-01 18:28:07,298 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:13:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9838, loss_cls: 0.7500, loss: 0.7500 +2025-07-01 18:28:24,951 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:12:55, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9862, loss_cls: 0.7218, loss: 0.7218 +2025-07-01 18:28:42,405 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:12:28, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 0.7468, loss: 0.7468 +2025-07-01 18:28:59,627 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:11:59, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9812, loss_cls: 0.8059, loss: 0.8059 +2025-07-01 18:29:17,639 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-01 18:29:54,868 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:29:54,891 - pyskl - INFO - +top1_acc 0.8641 +top5_acc 0.9897 +2025-07-01 18:29:54,892 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8641, top5_acc: 0.9897 +2025-07-01 18:30:36,930 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:12:13, time: 0.420, data_time: 0.249, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 0.7450, loss: 0.7450 +2025-07-01 18:30:54,532 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:11:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9738, loss_cls: 0.7855, loss: 0.7855 +2025-07-01 18:31:12,102 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:11:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 0.6769, loss: 0.6769 +2025-07-01 18:31:29,639 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:10:55, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7607, loss: 0.7607 +2025-07-01 18:31:47,201 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:10:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9819, loss_cls: 0.7455, loss: 0.7455 +2025-07-01 18:32:04,869 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:10:04, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9788, loss_cls: 0.7872, loss: 0.7872 +2025-07-01 18:32:22,192 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:09:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.7900, loss: 0.7900 +2025-07-01 18:32:39,844 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:09:12, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9850, loss_cls: 0.7456, loss: 0.7456 +2025-07-01 18:32:57,560 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-01 18:33:35,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:33:35,258 - pyskl - INFO - +top1_acc 0.9104 +top5_acc 0.9926 +2025-07-01 18:33:35,262 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_12.pth was removed +2025-07-01 18:33:35,455 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. +2025-07-01 18:33:35,455 - pyskl - INFO - Best top1_acc is 0.9104 at 16 epoch. +2025-07-01 18:33:35,457 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.9104, top5_acc: 0.9926 +2025-07-01 18:34:17,971 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:09:26, time: 0.425, data_time: 0.248, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9856, loss_cls: 0.6568, loss: 0.6568 +2025-07-01 18:34:35,698 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:09:01, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9831, loss_cls: 0.7357, loss: 0.7357 +2025-07-01 18:34:53,433 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:08:37, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9856, loss_cls: 0.7061, loss: 0.7061 +2025-07-01 18:35:10,852 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:08:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9788, loss_cls: 0.7511, loss: 0.7511 +2025-07-01 18:35:28,651 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:07:47, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9775, loss_cls: 0.7767, loss: 0.7767 +2025-07-01 18:35:46,324 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:07:23, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 0.7796, loss: 0.7796 +2025-07-01 18:36:03,359 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:06:54, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9769, loss_cls: 0.7214, loss: 0.7214 +2025-07-01 18:36:20,807 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:06:28, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.7887, loss: 0.7887 +2025-07-01 18:36:38,806 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-01 18:37:16,537 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:37:16,561 - pyskl - INFO - +top1_acc 0.9256 +top5_acc 0.9949 +2025-07-01 18:37:16,565 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_16.pth was removed +2025-07-01 18:37:16,733 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-07-01 18:37:16,734 - pyskl - INFO - Best top1_acc is 0.9256 at 17 epoch. +2025-07-01 18:37:16,735 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.9256, top5_acc: 0.9949 +2025-07-01 18:37:59,144 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:06:38, time: 0.424, data_time: 0.248, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9794, loss_cls: 0.7222, loss: 0.7222 +2025-07-01 18:38:16,992 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:06:15, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9900, loss_cls: 0.6565, loss: 0.6565 +2025-07-01 18:38:34,742 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:05:51, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8438, top5_acc: 0.9844, loss_cls: 0.7325, loss: 0.7325 +2025-07-01 18:38:51,958 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:05:23, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9825, loss_cls: 0.7073, loss: 0.7073 +2025-07-01 18:39:09,585 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:04:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9812, loss_cls: 0.6734, loss: 0.6734 +2025-07-01 18:39:27,060 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:04:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9856, loss_cls: 0.7541, loss: 0.7541 +2025-07-01 18:39:44,713 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:04:10, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9819, loss_cls: 0.7878, loss: 0.7878 +2025-07-01 18:40:02,210 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:03:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9800, loss_cls: 0.7579, loss: 0.7579 +2025-07-01 18:40:20,395 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-01 18:40:58,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:40:58,899 - pyskl - INFO - +top1_acc 0.9089 +top5_acc 0.9923 +2025-07-01 18:40:58,900 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.9089, top5_acc: 0.9923 +2025-07-01 18:41:41,274 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:03:51, time: 0.424, data_time: 0.244, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 0.6608, loss: 0.6608 +2025-07-01 18:41:59,229 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:03:29, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 0.7263, loss: 0.7263 +2025-07-01 18:42:17,043 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:03:07, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9819, loss_cls: 0.6969, loss: 0.6969 +2025-07-01 18:42:34,672 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:02:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9850, loss_cls: 0.7392, loss: 0.7392 +2025-07-01 18:42:52,223 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:02:18, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9794, loss_cls: 0.7695, loss: 0.7695 +2025-07-01 18:43:09,829 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:01:54, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9781, loss_cls: 0.6879, loss: 0.6879 +2025-07-01 18:43:27,194 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 6:01:28, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6495, loss: 0.6495 +2025-07-01 18:43:44,612 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 6:01:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9850, loss_cls: 0.7224, loss: 0.7224 +2025-07-01 18:44:02,649 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-01 18:44:40,750 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:44:40,773 - pyskl - INFO - +top1_acc 0.8891 +top5_acc 0.9898 +2025-07-01 18:44:40,774 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.8891, top5_acc: 0.9898 +2025-07-01 18:45:22,701 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 6:01:04, time: 0.419, data_time: 0.248, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9881, loss_cls: 0.6685, loss: 0.6685 +2025-07-01 18:45:40,099 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 6:00:38, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9862, loss_cls: 0.7075, loss: 0.7075 +2025-07-01 18:45:57,438 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 6:00:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9762, loss_cls: 0.7648, loss: 0.7648 +2025-07-01 18:46:15,060 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:59:49, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 0.7134, loss: 0.7134 +2025-07-01 18:46:32,433 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:59:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9869, loss_cls: 0.6660, loss: 0.6660 +2025-07-01 18:46:50,104 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:59:00, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9838, loss_cls: 0.7032, loss: 0.7032 +2025-07-01 18:47:07,408 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:58:35, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 0.6596, loss: 0.6596 +2025-07-01 18:47:24,744 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:58:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9831, loss_cls: 0.7721, loss: 0.7721 +2025-07-01 18:47:42,808 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-01 18:48:20,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:48:20,974 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9922 +2025-07-01 18:48:20,975 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.9175, top5_acc: 0.9922 +2025-07-01 18:49:02,597 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:58:06, time: 0.416, data_time: 0.240, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 0.6774, loss: 0.6774 +2025-07-01 18:49:20,032 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:57:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9781, loss_cls: 0.7575, loss: 0.7575 +2025-07-01 18:49:37,352 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:57:16, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6881, loss: 0.6881 +2025-07-01 18:49:54,918 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:56:52, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6712, loss: 0.6712 +2025-07-01 18:50:12,482 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:56:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 0.7137, loss: 0.7137 +2025-07-01 18:50:29,925 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:56:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9812, loss_cls: 0.7400, loss: 0.7400 +2025-07-01 18:50:47,103 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:55:38, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9900, loss_cls: 0.6365, loss: 0.6365 +2025-07-01 18:51:04,625 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:55:15, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9875, loss_cls: 0.6641, loss: 0.6641 +2025-07-01 18:51:22,488 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-01 18:52:01,202 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:52:01,225 - pyskl - INFO - +top1_acc 0.8816 +top5_acc 0.9915 +2025-07-01 18:52:01,226 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8816, top5_acc: 0.9915 +2025-07-01 18:52:43,370 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:55:13, time: 0.421, data_time: 0.247, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9825, loss_cls: 0.7156, loss: 0.7156 +2025-07-01 18:53:00,720 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:54:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9812, loss_cls: 0.6861, loss: 0.6861 +2025-07-01 18:53:18,286 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:54:25, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9862, loss_cls: 0.7068, loss: 0.7068 +2025-07-01 18:53:35,849 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:54:01, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9875, loss_cls: 0.6412, loss: 0.6412 +2025-07-01 18:53:53,422 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:53:38, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 0.6432, loss: 0.6432 +2025-07-01 18:54:10,917 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:53:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9812, loss_cls: 0.7400, loss: 0.7400 +2025-07-01 18:54:28,210 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:52:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9838, loss_cls: 0.7186, loss: 0.7186 +2025-07-01 18:54:45,366 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:52:24, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9825, loss_cls: 0.6597, loss: 0.6597 +2025-07-01 18:55:03,312 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-01 18:55:41,215 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:55:41,238 - pyskl - INFO - +top1_acc 0.8945 +top5_acc 0.9922 +2025-07-01 18:55:41,239 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8945, top5_acc: 0.9922 +2025-07-01 18:56:23,452 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:52:21, time: 0.422, data_time: 0.244, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9912, loss_cls: 0.6483, loss: 0.6483 +2025-07-01 18:56:40,888 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:51:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 0.7078, loss: 0.7078 +2025-07-01 18:56:58,232 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:51:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9781, loss_cls: 0.7195, loss: 0.7195 +2025-07-01 18:57:15,658 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:51:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9794, loss_cls: 0.6674, loss: 0.6674 +2025-07-01 18:57:33,188 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:50:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 0.6422, loss: 0.6422 +2025-07-01 18:57:50,638 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:50:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9794, loss_cls: 0.7298, loss: 0.7298 +2025-07-01 18:58:08,126 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:49:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9850, loss_cls: 0.6707, loss: 0.6707 +2025-07-01 18:58:25,550 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:49:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9856, loss_cls: 0.7010, loss: 0.7010 +2025-07-01 18:58:43,583 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-01 18:59:20,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 18:59:20,998 - pyskl - INFO - +top1_acc 0.8947 +top5_acc 0.9919 +2025-07-01 18:59:20,999 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.8947, top5_acc: 0.9919 +2025-07-01 19:00:02,667 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:49:27, time: 0.417, data_time: 0.242, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9862, loss_cls: 0.6466, loss: 0.6466 +2025-07-01 19:00:20,047 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:49:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 0.6723, loss: 0.6723 +2025-07-01 19:00:37,454 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:48:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9856, loss_cls: 0.6490, loss: 0.6490 +2025-07-01 19:00:55,172 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:48:17, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9888, loss_cls: 0.6500, loss: 0.6500 +2025-07-01 19:01:12,782 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:47:55, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9875, loss_cls: 0.6063, loss: 0.6063 +2025-07-01 19:01:30,608 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:47:33, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.6234, loss: 0.6234 +2025-07-01 19:01:47,785 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:47:09, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9781, loss_cls: 0.7147, loss: 0.7147 +2025-07-01 19:02:05,024 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:46:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9838, loss_cls: 0.6631, loss: 0.6631 +2025-07-01 19:02:22,981 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-01 19:03:00,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:03:00,405 - pyskl - INFO - +top1_acc 0.9130 +top5_acc 0.9930 +2025-07-01 19:03:00,406 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9130, top5_acc: 0.9930 +2025-07-01 19:03:42,136 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:46:36, time: 0.417, data_time: 0.239, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9831, loss_cls: 0.6673, loss: 0.6673 +2025-07-01 19:03:59,754 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:46:13, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9838, loss_cls: 0.6382, loss: 0.6382 +2025-07-01 19:04:17,228 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:45:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5389, loss: 0.5389 +2025-07-01 19:04:34,990 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:45:29, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8919, top5_acc: 0.9862, loss_cls: 0.6014, loss: 0.6014 +2025-07-01 19:04:52,316 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:45:05, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9844, loss_cls: 0.6897, loss: 0.6897 +2025-07-01 19:05:09,652 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:44:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9769, loss_cls: 0.6862, loss: 0.6862 +2025-07-01 19:05:27,034 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:44:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6385, loss: 0.6385 +2025-07-01 19:05:44,682 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:43:56, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 0.6505, loss: 0.6505 +2025-07-01 19:06:02,830 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-01 19:06:41,609 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:06:41,642 - pyskl - INFO - +top1_acc 0.8919 +top5_acc 0.9922 +2025-07-01 19:06:41,643 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8919, top5_acc: 0.9922 +2025-07-01 19:07:23,862 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:43:48, time: 0.422, data_time: 0.247, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 0.6320, loss: 0.6320 +2025-07-01 19:07:41,116 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:43:24, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6639, loss: 0.6639 +2025-07-01 19:07:58,821 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:43:03, time: 0.177, data_time: 0.001, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.5731, loss: 0.5731 +2025-07-01 19:08:16,295 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:42:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9888, loss_cls: 0.6196, loss: 0.6196 +2025-07-01 19:08:34,102 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:42:19, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 0.6488, loss: 0.6488 +2025-07-01 19:08:51,516 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:41:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9844, loss_cls: 0.6416, loss: 0.6416 +2025-07-01 19:09:08,641 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:41:31, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 0.6875, loss: 0.6875 +2025-07-01 19:09:26,053 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:41:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9850, loss_cls: 0.6700, loss: 0.6700 +2025-07-01 19:09:44,096 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-01 19:10:22,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:10:22,051 - pyskl - INFO - +top1_acc 0.8945 +top5_acc 0.9914 +2025-07-01 19:10:22,052 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.8945, top5_acc: 0.9914 +2025-07-01 19:11:03,754 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:40:57, time: 0.417, data_time: 0.240, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9856, loss_cls: 0.6093, loss: 0.6093 +2025-07-01 19:11:21,052 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:40:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 0.6436, loss: 0.6436 +2025-07-01 19:11:38,469 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:40:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 0.6126, loss: 0.6126 +2025-07-01 19:11:55,921 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:39:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.6391, loss: 0.6391 +2025-07-01 19:12:13,817 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:39:27, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9788, loss_cls: 0.6835, loss: 0.6835 +2025-07-01 19:12:31,646 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:39:06, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5966, loss: 0.5966 +2025-07-01 19:12:49,331 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:38:45, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9838, loss_cls: 0.7017, loss: 0.7017 +2025-07-01 19:13:06,973 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:38:23, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9850, loss_cls: 0.6061, loss: 0.6061 +2025-07-01 19:13:24,954 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-01 19:14:03,121 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:14:03,143 - pyskl - INFO - +top1_acc 0.9143 +top5_acc 0.9930 +2025-07-01 19:14:03,144 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.9143, top5_acc: 0.9930 +2025-07-01 19:14:45,498 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:38:14, time: 0.423, data_time: 0.247, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.6208, loss: 0.6208 +2025-07-01 19:15:02,598 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:37:50, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9850, loss_cls: 0.6186, loss: 0.6186 +2025-07-01 19:15:20,001 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:37:27, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6227, loss: 0.6227 +2025-07-01 19:15:37,540 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:37:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 0.5946, loss: 0.5946 +2025-07-01 19:15:55,022 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:36:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 0.6358, loss: 0.6358 +2025-07-01 19:16:12,370 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:36:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6178, loss: 0.6178 +2025-07-01 19:16:29,534 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:35:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 0.6149, loss: 0.6149 +2025-07-01 19:16:47,063 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:35:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.6524, loss: 0.6524 +2025-07-01 19:17:04,956 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-01 19:17:42,788 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:17:42,816 - pyskl - INFO - +top1_acc 0.9114 +top5_acc 0.9936 +2025-07-01 19:17:42,817 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.9114, top5_acc: 0.9936 +2025-07-01 19:18:24,704 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:35:21, time: 0.419, data_time: 0.242, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.6303, loss: 0.6303 +2025-07-01 19:18:42,240 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:34:59, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9900, loss_cls: 0.5664, loss: 0.5664 +2025-07-01 19:18:59,918 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:34:38, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 0.6666, loss: 0.6666 +2025-07-01 19:19:17,558 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:34:16, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9875, loss_cls: 0.6113, loss: 0.6113 +2025-07-01 19:19:35,196 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:33:55, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9900, loss_cls: 0.5896, loss: 0.5896 +2025-07-01 19:19:52,497 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:33:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9812, loss_cls: 0.6629, loss: 0.6629 +2025-07-01 19:20:09,952 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:33:10, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9800, loss_cls: 0.6397, loss: 0.6397 +2025-07-01 19:20:27,587 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:32:48, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 0.5970, loss: 0.5970 +2025-07-01 19:20:45,555 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-01 19:21:23,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:21:23,798 - pyskl - INFO - +top1_acc 0.9322 +top5_acc 0.9949 +2025-07-01 19:21:23,802 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_17.pth was removed +2025-07-01 19:21:23,965 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-07-01 19:21:23,966 - pyskl - INFO - Best top1_acc is 0.9322 at 29 epoch. +2025-07-01 19:21:23,967 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9322, top5_acc: 0.9949 +2025-07-01 19:22:06,429 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:32:37, time: 0.425, data_time: 0.244, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 0.5609, loss: 0.5609 +2025-07-01 19:22:24,449 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:32:17, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9825, loss_cls: 0.6005, loss: 0.6005 +2025-07-01 19:22:42,757 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:31:59, time: 0.183, data_time: 0.001, memory: 2902, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5577, loss: 0.5577 +2025-07-01 19:23:00,967 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:31:40, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.5699, loss: 0.5699 +2025-07-01 19:23:18,804 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:31:19, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.5838, loss: 0.5838 +2025-07-01 19:23:36,811 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:30:59, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7210, loss: 0.7210 +2025-07-01 19:23:54,968 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:30:40, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 0.6082, loss: 0.6082 +2025-07-01 19:24:13,027 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:30:20, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9838, loss_cls: 0.5761, loss: 0.5761 +2025-07-01 19:24:31,506 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-01 19:25:09,312 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:25:09,336 - pyskl - INFO - +top1_acc 0.9044 +top5_acc 0.9933 +2025-07-01 19:25:09,341 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.9044, top5_acc: 0.9933 +2025-07-01 19:25:52,135 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:30:09, time: 0.428, data_time: 0.248, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 0.6433, loss: 0.6433 +2025-07-01 19:26:10,349 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:29:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.6167, loss: 0.6167 +2025-07-01 19:26:28,545 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:29:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9881, loss_cls: 0.6835, loss: 0.6835 +2025-07-01 19:26:46,809 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:29:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9806, loss_cls: 0.6575, loss: 0.6575 +2025-07-01 19:27:04,959 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:28:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9919, loss_cls: 0.6280, loss: 0.6280 +2025-07-01 19:27:22,814 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:28:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8619, top5_acc: 0.9894, loss_cls: 0.7093, loss: 0.7093 +2025-07-01 19:27:40,667 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:28:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 0.7132, loss: 0.7132 +2025-07-01 19:27:58,709 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:27:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9831, loss_cls: 0.6345, loss: 0.6345 +2025-07-01 19:28:17,537 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-01 19:28:55,071 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:28:55,093 - pyskl - INFO - +top1_acc 0.8816 +top5_acc 0.9925 +2025-07-01 19:28:55,094 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8816, top5_acc: 0.9925 +2025-07-01 19:29:38,064 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:27:41, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9856, loss_cls: 0.6503, loss: 0.6503 +2025-07-01 19:29:55,805 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:27:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.6256, loss: 0.6256 +2025-07-01 19:30:13,628 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:26:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9856, loss_cls: 0.6556, loss: 0.6556 +2025-07-01 19:30:31,554 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:26:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.6246, loss: 0.6246 +2025-07-01 19:30:49,846 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:26:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5794, loss: 0.5794 +2025-07-01 19:31:07,905 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:26:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9912, loss_cls: 0.6338, loss: 0.6338 +2025-07-01 19:31:25,989 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:25:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9825, loss_cls: 0.6943, loss: 0.6943 +2025-07-01 19:31:44,134 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:25:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9912, loss_cls: 0.6339, loss: 0.6339 +2025-07-01 19:32:02,990 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-01 19:32:42,061 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:32:42,084 - pyskl - INFO - +top1_acc 0.8943 +top5_acc 0.9922 +2025-07-01 19:32:42,085 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.8943, top5_acc: 0.9922 +2025-07-01 19:33:24,532 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:25:07, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.6182, loss: 0.6182 +2025-07-01 19:33:42,386 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:24:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6668, loss: 0.6668 +2025-07-01 19:34:00,484 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:24:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9881, loss_cls: 0.6406, loss: 0.6406 +2025-07-01 19:34:18,460 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:24:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9888, loss_cls: 0.6294, loss: 0.6294 +2025-07-01 19:34:36,657 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:23:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9844, loss_cls: 0.6117, loss: 0.6117 +2025-07-01 19:34:54,508 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:23:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5951, loss: 0.5951 +2025-07-01 19:35:12,764 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:23:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9819, loss_cls: 0.6789, loss: 0.6789 +2025-07-01 19:35:30,952 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:22:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6409, loss: 0.6409 +2025-07-01 19:35:49,450 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-01 19:36:27,418 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:36:27,446 - pyskl - INFO - +top1_acc 0.8645 +top5_acc 0.9905 +2025-07-01 19:36:27,447 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.8645, top5_acc: 0.9905 +2025-07-01 19:37:10,370 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:22:35, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 0.6988, loss: 0.6988 +2025-07-01 19:37:28,437 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:22:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 0.5132, loss: 0.5132 +2025-07-01 19:37:46,619 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:21:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.6194, loss: 0.6194 +2025-07-01 19:38:04,963 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:21:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.5892, loss: 0.5892 +2025-07-01 19:38:23,034 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:21:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9850, loss_cls: 0.6579, loss: 0.6579 +2025-07-01 19:38:41,029 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:20:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 0.7071, loss: 0.7071 +2025-07-01 19:38:59,148 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:20:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6664, loss: 0.6664 +2025-07-01 19:39:17,496 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:20:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9888, loss_cls: 0.6615, loss: 0.6615 +2025-07-01 19:39:35,996 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-01 19:40:13,589 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:40:13,612 - pyskl - INFO - +top1_acc 0.8954 +top5_acc 0.9942 +2025-07-01 19:40:13,613 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.8954, top5_acc: 0.9942 +2025-07-01 19:40:55,741 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:20:02, time: 0.421, data_time: 0.240, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5407, loss: 0.5407 +2025-07-01 19:41:13,905 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:19:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 0.6242, loss: 0.6242 +2025-07-01 19:41:32,049 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:19:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9894, loss_cls: 0.6076, loss: 0.6076 +2025-07-01 19:41:50,110 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:19:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9812, loss_cls: 0.6150, loss: 0.6150 +2025-07-01 19:42:08,582 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:18:45, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.6166, loss: 0.6166 +2025-07-01 19:42:26,273 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:18:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9919, loss_cls: 0.6487, loss: 0.6487 +2025-07-01 19:42:44,308 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:18:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6395, loss: 0.6395 +2025-07-01 19:43:02,324 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:17:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.5195, loss: 0.5195 +2025-07-01 19:43:21,276 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-01 19:43:58,924 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:43:58,955 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9946 +2025-07-01 19:43:58,957 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9161, top5_acc: 0.9946 +2025-07-01 19:44:42,042 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:17:29, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9925, loss_cls: 0.5703, loss: 0.5703 +2025-07-01 19:45:00,101 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:17:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5537, loss: 0.5537 +2025-07-01 19:45:17,980 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:16:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.6390, loss: 0.6390 +2025-07-01 19:45:36,167 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:16:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 0.6168, loss: 0.6168 +2025-07-01 19:45:54,250 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:16:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9894, loss_cls: 0.5823, loss: 0.5823 +2025-07-01 19:46:12,018 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:15:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.5654, loss: 0.5654 +2025-07-01 19:46:30,169 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:15:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9831, loss_cls: 0.6452, loss: 0.6452 +2025-07-01 19:46:48,086 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:15:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9894, loss_cls: 0.6231, loss: 0.6231 +2025-07-01 19:47:06,656 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-01 19:47:44,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:47:44,405 - pyskl - INFO - +top1_acc 0.8949 +top5_acc 0.9921 +2025-07-01 19:47:44,407 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.8949, top5_acc: 0.9921 +2025-07-01 19:48:27,078 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:14:52, time: 0.427, data_time: 0.241, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9838, loss_cls: 0.6954, loss: 0.6954 +2025-07-01 19:48:45,135 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:14:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 0.6432, loss: 0.6432 +2025-07-01 19:49:03,120 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:14:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5562, loss: 0.5562 +2025-07-01 19:49:21,284 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:13:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5579, loss: 0.5579 +2025-07-01 19:49:39,387 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:13:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5925, loss: 0.5925 +2025-07-01 19:49:57,297 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:13:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9844, loss_cls: 0.6003, loss: 0.6003 +2025-07-01 19:50:15,259 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:12:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5615, loss: 0.5615 +2025-07-01 19:50:33,405 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:12:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5829, loss: 0.5829 +2025-07-01 19:50:51,910 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-01 19:51:29,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:51:29,706 - pyskl - INFO - +top1_acc 0.9286 +top5_acc 0.9933 +2025-07-01 19:51:29,707 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9286, top5_acc: 0.9933 +2025-07-01 19:52:12,751 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:12:17, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 0.5293, loss: 0.5293 +2025-07-01 19:52:30,649 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:11:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9850, loss_cls: 0.5382, loss: 0.5382 +2025-07-01 19:52:48,500 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:11:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6037, loss: 0.6037 +2025-07-01 19:53:06,567 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:11:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9906, loss_cls: 0.5463, loss: 0.5463 +2025-07-01 19:53:24,601 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:10:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5547, loss: 0.5547 +2025-07-01 19:53:42,541 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:10:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.6067, loss: 0.6067 +2025-07-01 19:54:00,637 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:10:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5747, loss: 0.5747 +2025-07-01 19:54:19,028 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:09:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5748, loss: 0.5748 +2025-07-01 19:54:37,373 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-01 19:55:15,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:55:15,245 - pyskl - INFO - +top1_acc 0.9162 +top5_acc 0.9929 +2025-07-01 19:55:15,247 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9162, top5_acc: 0.9929 +2025-07-01 19:55:58,401 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:09:41, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 0.6121, loss: 0.6121 +2025-07-01 19:56:16,579 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:09:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5897, loss: 0.5897 +2025-07-01 19:56:34,605 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:09:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5328, loss: 0.5328 +2025-07-01 19:56:53,008 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:08:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 0.6173, loss: 0.6173 +2025-07-01 19:57:11,046 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:08:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9856, loss_cls: 0.5865, loss: 0.5865 +2025-07-01 19:57:29,049 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:08:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 0.6028, loss: 0.6028 +2025-07-01 19:57:47,414 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:07:44, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9881, loss_cls: 0.5845, loss: 0.5845 +2025-07-01 19:58:05,436 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:07:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.5799, loss: 0.5799 +2025-07-01 19:58:24,107 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-01 19:59:01,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 19:59:01,883 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9953 +2025-07-01 19:59:01,884 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9314, top5_acc: 0.9953 +2025-07-01 19:59:45,087 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:07:07, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.5715, loss: 0.5715 +2025-07-01 20:00:02,973 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:06:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9881, loss_cls: 0.5601, loss: 0.5601 +2025-07-01 20:00:21,207 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:06:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9938, loss_cls: 0.5193, loss: 0.5193 +2025-07-01 20:00:39,352 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:06:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.5166, loss: 0.5166 +2025-07-01 20:00:57,247 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:05:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5112, loss: 0.5112 +2025-07-01 20:01:15,458 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:05:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5462, loss: 0.5462 +2025-07-01 20:01:33,553 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:05:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4746, loss: 0.4746 +2025-07-01 20:01:51,768 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:04:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9812, loss_cls: 0.6932, loss: 0.6932 +2025-07-01 20:02:10,152 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-01 20:02:46,774 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:02:46,802 - pyskl - INFO - +top1_acc 0.9199 +top5_acc 0.9940 +2025-07-01 20:02:46,804 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9199, top5_acc: 0.9940 +2025-07-01 20:03:28,585 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:04:27, time: 0.418, data_time: 0.236, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9950, loss_cls: 0.5054, loss: 0.5054 +2025-07-01 20:03:46,462 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:04:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9869, loss_cls: 0.5328, loss: 0.5328 +2025-07-01 20:04:04,427 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:03:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9862, loss_cls: 0.5157, loss: 0.5157 +2025-07-01 20:04:22,533 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:03:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5703, loss: 0.5703 +2025-07-01 20:04:40,474 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:03:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5718, loss: 0.5718 +2025-07-01 20:04:58,408 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:02:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5451, loss: 0.5451 +2025-07-01 20:05:16,687 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:02:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.5957, loss: 0.5957 +2025-07-01 20:05:34,672 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:02:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5895, loss: 0.5895 +2025-07-01 20:05:53,256 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-01 20:06:30,989 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:06:31,012 - pyskl - INFO - +top1_acc 0.9324 +top5_acc 0.9944 +2025-07-01 20:06:31,016 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_29.pth was removed +2025-07-01 20:06:31,177 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-01 20:06:31,177 - pyskl - INFO - Best top1_acc is 0.9324 at 41 epoch. +2025-07-01 20:06:31,179 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9324, top5_acc: 0.9944 +2025-07-01 20:07:14,497 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:01:49, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9925, loss_cls: 0.5524, loss: 0.5524 +2025-07-01 20:07:32,352 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:01:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.5828, loss: 0.5828 +2025-07-01 20:07:50,446 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:01:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5483, loss: 0.5483 +2025-07-01 20:08:08,601 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 5:00:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9912, loss_cls: 0.5435, loss: 0.5435 +2025-07-01 20:08:26,418 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 5:00:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9900, loss_cls: 0.5559, loss: 0.5559 +2025-07-01 20:08:44,739 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 5:00:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9938, loss_cls: 0.5468, loss: 0.5468 +2025-07-01 20:09:02,813 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:59:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9938, loss_cls: 0.5762, loss: 0.5762 +2025-07-01 20:09:20,949 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:59:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 0.5920, loss: 0.5920 +2025-07-01 20:09:39,652 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-01 20:10:16,602 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:10:16,625 - pyskl - INFO - +top1_acc 0.9297 +top5_acc 0.9958 +2025-07-01 20:10:16,626 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9297, top5_acc: 0.9958 +2025-07-01 20:10:58,632 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:59:08, time: 0.420, data_time: 0.236, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9931, loss_cls: 0.5272, loss: 0.5272 +2025-07-01 20:11:16,881 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:58:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9875, loss_cls: 0.6264, loss: 0.6264 +2025-07-01 20:11:34,974 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:58:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5267, loss: 0.5267 +2025-07-01 20:11:53,108 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:58:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9881, loss_cls: 0.5594, loss: 0.5594 +2025-07-01 20:12:10,817 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:57:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5906, loss: 0.5906 +2025-07-01 20:12:28,547 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:57:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9912, loss_cls: 0.5267, loss: 0.5267 +2025-07-01 20:12:46,905 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:57:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9944, loss_cls: 0.5759, loss: 0.5759 +2025-07-01 20:13:04,912 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:56:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.4926, loss: 0.4926 +2025-07-01 20:13:23,242 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-01 20:14:00,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:14:00,849 - pyskl - INFO - +top1_acc 0.9295 +top5_acc 0.9951 +2025-07-01 20:14:00,850 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9295, top5_acc: 0.9951 +2025-07-01 20:14:43,927 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:56:29, time: 0.431, data_time: 0.242, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 0.5443, loss: 0.5443 +2025-07-01 20:15:02,192 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:56:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9912, loss_cls: 0.5744, loss: 0.5744 +2025-07-01 20:15:20,337 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:55:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4936, loss: 0.4936 +2025-07-01 20:15:38,667 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:55:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5471, loss: 0.5471 +2025-07-01 20:15:56,626 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:55:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.5109, loss: 0.5109 +2025-07-01 20:16:14,528 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:54:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9888, loss_cls: 0.5767, loss: 0.5767 +2025-07-01 20:16:32,861 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:54:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9919, loss_cls: 0.5362, loss: 0.5362 +2025-07-01 20:16:50,917 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:54:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9906, loss_cls: 0.4914, loss: 0.4914 +2025-07-01 20:17:09,321 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-01 20:17:46,504 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:17:46,527 - pyskl - INFO - +top1_acc 0.9349 +top5_acc 0.9950 +2025-07-01 20:17:46,531 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_41.pth was removed +2025-07-01 20:17:46,692 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_44.pth. +2025-07-01 20:17:46,692 - pyskl - INFO - Best top1_acc is 0.9349 at 44 epoch. +2025-07-01 20:17:46,694 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9349, top5_acc: 0.9950 +2025-07-01 20:18:28,763 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:53:49, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5324, loss: 0.5324 +2025-07-01 20:18:46,881 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:53:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5697, loss: 0.5697 +2025-07-01 20:19:04,822 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:53:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5117, loss: 0.5117 +2025-07-01 20:19:22,771 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:52:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5777, loss: 0.5777 +2025-07-01 20:19:40,747 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:52:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5117, loss: 0.5117 +2025-07-01 20:19:58,726 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:52:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5218, loss: 0.5218 +2025-07-01 20:20:16,809 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:51:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5297, loss: 0.5297 +2025-07-01 20:20:34,797 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:51:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4850, loss: 0.4850 +2025-07-01 20:20:53,242 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-01 20:21:30,678 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:21:30,702 - pyskl - INFO - +top1_acc 0.9299 +top5_acc 0.9935 +2025-07-01 20:21:30,703 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9299, top5_acc: 0.9935 +2025-07-01 20:22:13,432 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:51:08, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4870, loss: 0.4870 +2025-07-01 20:22:31,462 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:50:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.5212, loss: 0.5212 +2025-07-01 20:22:49,348 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:50:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.5108, loss: 0.5108 +2025-07-01 20:23:07,174 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:50:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9925, loss_cls: 0.4644, loss: 0.4644 +2025-07-01 20:23:25,251 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:49:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4893, loss: 0.4893 +2025-07-01 20:23:43,249 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:49:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5383, loss: 0.5383 +2025-07-01 20:24:01,539 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:49:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.5335, loss: 0.5335 +2025-07-01 20:24:19,424 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:48:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9938, loss_cls: 0.5074, loss: 0.5074 +2025-07-01 20:24:38,195 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-01 20:25:16,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:25:16,430 - pyskl - INFO - +top1_acc 0.9296 +top5_acc 0.9940 +2025-07-01 20:25:16,431 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9296, top5_acc: 0.9940 +2025-07-01 20:25:59,200 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:48:26, time: 0.428, data_time: 0.248, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5120, loss: 0.5120 +2025-07-01 20:26:17,105 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:48:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.5027, loss: 0.5027 +2025-07-01 20:26:35,367 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:47:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.4746, loss: 0.4746 +2025-07-01 20:26:53,544 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:47:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5127, loss: 0.5127 +2025-07-01 20:27:11,288 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:47:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9862, loss_cls: 0.5001, loss: 0.5001 +2025-07-01 20:27:29,141 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:46:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5225, loss: 0.5225 +2025-07-01 20:27:47,229 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:46:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5336, loss: 0.5336 +2025-07-01 20:28:05,424 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:46:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4632, loss: 0.4632 +2025-07-01 20:28:23,757 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-01 20:29:01,088 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:29:01,112 - pyskl - INFO - +top1_acc 0.9157 +top5_acc 0.9942 +2025-07-01 20:29:01,114 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9157, top5_acc: 0.9942 +2025-07-01 20:29:43,831 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:45:45, time: 0.427, data_time: 0.241, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4735, loss: 0.4735 +2025-07-01 20:30:02,082 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:45:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4773, loss: 0.4773 +2025-07-01 20:30:20,226 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:45:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9831, loss_cls: 0.5699, loss: 0.5699 +2025-07-01 20:30:38,282 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:44:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5633, loss: 0.5633 +2025-07-01 20:30:56,106 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:44:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9938, loss_cls: 0.5036, loss: 0.5036 +2025-07-01 20:31:14,175 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:44:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9906, loss_cls: 0.5681, loss: 0.5681 +2025-07-01 20:31:32,421 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:43:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9950, loss_cls: 0.5151, loss: 0.5151 +2025-07-01 20:31:50,453 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:43:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9919, loss_cls: 0.5014, loss: 0.5014 +2025-07-01 20:32:09,032 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-01 20:32:46,839 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:32:46,862 - pyskl - INFO - +top1_acc 0.9186 +top5_acc 0.9950 +2025-07-01 20:32:46,863 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9186, top5_acc: 0.9950 +2025-07-01 20:33:30,119 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:43:05, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9881, loss_cls: 0.4587, loss: 0.4587 +2025-07-01 20:33:47,836 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:42:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.4882, loss: 0.4882 +2025-07-01 20:34:05,662 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:42:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4759, loss: 0.4759 +2025-07-01 20:34:23,833 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:42:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4718, loss: 0.4718 +2025-07-01 20:34:41,707 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:41:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5083, loss: 0.5083 +2025-07-01 20:35:00,005 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:41:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9900, loss_cls: 0.5635, loss: 0.5635 +2025-07-01 20:35:18,125 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:41:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5593, loss: 0.5593 +2025-07-01 20:35:36,101 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:40:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.4654, loss: 0.4654 +2025-07-01 20:35:54,448 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-01 20:36:31,670 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:36:31,699 - pyskl - INFO - +top1_acc 0.9367 +top5_acc 0.9951 +2025-07-01 20:36:31,704 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_44.pth was removed +2025-07-01 20:36:31,886 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_49.pth. +2025-07-01 20:36:31,887 - pyskl - INFO - Best top1_acc is 0.9367 at 49 epoch. +2025-07-01 20:36:31,888 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9367, top5_acc: 0.9951 +2025-07-01 20:37:14,799 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:40:23, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4913, loss: 0.4913 +2025-07-01 20:37:33,105 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:40:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4377, loss: 0.4377 +2025-07-01 20:37:50,952 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:39:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5786, loss: 0.5786 +2025-07-01 20:38:09,147 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:39:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.4951, loss: 0.4951 +2025-07-01 20:38:26,997 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:39:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.4854, loss: 0.4854 +2025-07-01 20:38:45,059 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:38:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9888, loss_cls: 0.5176, loss: 0.5176 +2025-07-01 20:39:03,524 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:38:26, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9875, loss_cls: 0.5392, loss: 0.5392 +2025-07-01 20:39:21,283 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:38:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5009, loss: 0.5009 +2025-07-01 20:39:39,733 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-01 20:40:17,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:40:17,163 - pyskl - INFO - +top1_acc 0.9200 +top5_acc 0.9946 +2025-07-01 20:40:17,164 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9200, top5_acc: 0.9946 +2025-07-01 20:41:00,675 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:37:42, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4842, loss: 0.4842 +2025-07-01 20:41:18,882 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:37:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9881, loss_cls: 0.4711, loss: 0.4711 +2025-07-01 20:41:36,891 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:37:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4717, loss: 0.4717 +2025-07-01 20:41:55,022 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:36:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4799, loss: 0.4799 +2025-07-01 20:42:13,203 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:36:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9944, loss_cls: 0.4918, loss: 0.4918 +2025-07-01 20:42:31,090 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:36:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9925, loss_cls: 0.5266, loss: 0.5266 +2025-07-01 20:42:49,167 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:35:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 0.4766, loss: 0.4766 +2025-07-01 20:43:07,324 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:35:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4751, loss: 0.4751 +2025-07-01 20:43:25,867 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-01 20:44:02,843 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:44:02,867 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9940 +2025-07-01 20:44:02,872 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_49.pth was removed +2025-07-01 20:44:03,041 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. +2025-07-01 20:44:03,042 - pyskl - INFO - Best top1_acc is 0.9453 at 51 epoch. +2025-07-01 20:44:03,044 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9453, top5_acc: 0.9940 +2025-07-01 20:44:46,372 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:35:02, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.4114, loss: 0.4114 +2025-07-01 20:45:04,764 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:34:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5405, loss: 0.5405 +2025-07-01 20:45:22,812 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:34:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.5003, loss: 0.5003 +2025-07-01 20:45:40,957 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:34:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9962, loss_cls: 0.4546, loss: 0.4546 +2025-07-01 20:45:58,984 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:33:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4791, loss: 0.4791 +2025-07-01 20:46:17,307 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:33:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9906, loss_cls: 0.4776, loss: 0.4776 +2025-07-01 20:46:35,445 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:33:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4396, loss: 0.4396 +2025-07-01 20:46:53,660 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:32:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4639, loss: 0.4639 +2025-07-01 20:47:12,075 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-01 20:47:49,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:47:49,715 - pyskl - INFO - +top1_acc 0.9513 +top5_acc 0.9957 +2025-07-01 20:47:49,720 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_51.pth was removed +2025-07-01 20:47:49,905 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-07-01 20:47:49,905 - pyskl - INFO - Best top1_acc is 0.9513 at 52 epoch. +2025-07-01 20:47:49,907 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9513, top5_acc: 0.9957 +2025-07-01 20:48:33,758 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:32:23, time: 0.438, data_time: 0.254, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4226, loss: 0.4226 +2025-07-01 20:48:51,697 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:32:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4332, loss: 0.4332 +2025-07-01 20:49:09,770 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:31:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.5001, loss: 0.5001 +2025-07-01 20:49:27,921 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:31:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4537, loss: 0.4537 +2025-07-01 20:49:45,892 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:31:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.5047, loss: 0.5047 +2025-07-01 20:50:04,156 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:30:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5343, loss: 0.5343 +2025-07-01 20:50:22,022 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:30:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.4982, loss: 0.4982 +2025-07-01 20:50:40,281 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:30:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9869, loss_cls: 0.4922, loss: 0.4922 +2025-07-01 20:50:58,459 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-01 20:51:36,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:51:36,274 - pyskl - INFO - +top1_acc 0.9243 +top5_acc 0.9942 +2025-07-01 20:51:36,275 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9243, top5_acc: 0.9942 +2025-07-01 20:52:19,762 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:29:41, time: 0.435, data_time: 0.251, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5027, loss: 0.5027 +2025-07-01 20:52:38,078 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:29:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4465, loss: 0.4465 +2025-07-01 20:52:56,369 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:29:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.5239, loss: 0.5239 +2025-07-01 20:53:14,338 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:28:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9931, loss_cls: 0.4406, loss: 0.4406 +2025-07-01 20:53:32,294 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:28:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4733, loss: 0.4733 +2025-07-01 20:53:50,628 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:28:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4807, loss: 0.4807 +2025-07-01 20:54:08,705 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:27:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5286, loss: 0.5286 +2025-07-01 20:54:27,026 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:27:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9900, loss_cls: 0.5648, loss: 0.5648 +2025-07-01 20:54:45,578 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-01 20:55:22,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:55:22,865 - pyskl - INFO - +top1_acc 0.9488 +top5_acc 0.9965 +2025-07-01 20:55:22,866 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9488, top5_acc: 0.9965 +2025-07-01 20:56:06,839 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:27:02, time: 0.440, data_time: 0.255, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3959, loss: 0.3959 +2025-07-01 20:56:24,852 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:26:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4553, loss: 0.4553 +2025-07-01 20:56:42,620 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:26:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9931, loss_cls: 0.4607, loss: 0.4607 +2025-07-01 20:57:00,617 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:26:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4358, loss: 0.4358 +2025-07-01 20:57:18,500 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:25:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.4759, loss: 0.4759 +2025-07-01 20:57:36,777 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:25:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4841, loss: 0.4841 +2025-07-01 20:57:54,532 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:25:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5188, loss: 0.5188 +2025-07-01 20:58:12,641 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:24:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4585, loss: 0.4585 +2025-07-01 20:58:31,135 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-01 20:59:09,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 20:59:09,076 - pyskl - INFO - +top1_acc 0.9212 +top5_acc 0.9943 +2025-07-01 20:59:09,077 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9212, top5_acc: 0.9943 +2025-07-01 20:59:52,200 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:24:18, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4699, loss: 0.4699 +2025-07-01 21:00:10,170 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:23:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.4152, loss: 0.4152 +2025-07-01 21:00:28,149 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:23:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9906, loss_cls: 0.4903, loss: 0.4903 +2025-07-01 21:00:46,098 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:23:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4876, loss: 0.4876 +2025-07-01 21:01:04,173 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:22:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4372, loss: 0.4372 +2025-07-01 21:01:22,160 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:22:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.4764, loss: 0.4764 +2025-07-01 21:01:40,014 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:22:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4812, loss: 0.4812 +2025-07-01 21:01:58,090 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:22:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.4955, loss: 0.4955 +2025-07-01 21:02:16,310 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-01 21:02:54,128 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:02:54,157 - pyskl - INFO - +top1_acc 0.9328 +top5_acc 0.9943 +2025-07-01 21:02:54,158 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9328, top5_acc: 0.9943 +2025-07-01 21:03:37,708 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:21:35, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9969, loss_cls: 0.4495, loss: 0.4495 +2025-07-01 21:03:55,772 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:21:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4523, loss: 0.4523 +2025-07-01 21:04:13,904 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:20:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4831, loss: 0.4831 +2025-07-01 21:04:31,953 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:20:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.4396, loss: 0.4396 +2025-07-01 21:04:50,145 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:20:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4577, loss: 0.4577 +2025-07-01 21:05:08,193 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:19:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9944, loss_cls: 0.4881, loss: 0.4881 +2025-07-01 21:05:26,122 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:19:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.4654, loss: 0.4654 +2025-07-01 21:05:44,438 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:19:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5147, loss: 0.5147 +2025-07-01 21:06:02,879 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-01 21:06:41,260 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:06:41,291 - pyskl - INFO - +top1_acc 0.9488 +top5_acc 0.9964 +2025-07-01 21:06:41,292 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9488, top5_acc: 0.9964 +2025-07-01 21:07:24,741 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:18:52, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3665, loss: 0.3665 +2025-07-01 21:07:42,774 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:18:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.5148, loss: 0.5148 +2025-07-01 21:08:00,966 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:18:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.4878, loss: 0.4878 +2025-07-01 21:08:19,042 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:17:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9956, loss_cls: 0.4069, loss: 0.4069 +2025-07-01 21:08:37,299 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:17:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.4100, loss: 0.4100 +2025-07-01 21:08:55,348 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:17:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9962, loss_cls: 0.4638, loss: 0.4638 +2025-07-01 21:09:13,610 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:16:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.4412, loss: 0.4412 +2025-07-01 21:09:31,679 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:16:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4478, loss: 0.4478 +2025-07-01 21:09:50,068 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-01 21:10:27,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:10:27,753 - pyskl - INFO - +top1_acc 0.9340 +top5_acc 0.9954 +2025-07-01 21:10:27,754 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9340, top5_acc: 0.9954 +2025-07-01 21:11:10,711 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:16:09, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4491, loss: 0.4491 +2025-07-01 21:11:28,701 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:15:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4508, loss: 0.4508 +2025-07-01 21:11:46,785 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:15:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4240, loss: 0.4240 +2025-07-01 21:12:04,683 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:15:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3912, loss: 0.3912 +2025-07-01 21:12:22,948 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:14:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4489, loss: 0.4489 +2025-07-01 21:12:40,680 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:14:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4621, loss: 0.4621 +2025-07-01 21:12:58,809 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:14:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9925, loss_cls: 0.4552, loss: 0.4552 +2025-07-01 21:13:16,810 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:13:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4680, loss: 0.4680 +2025-07-01 21:13:35,085 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-01 21:14:13,546 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:14:13,571 - pyskl - INFO - +top1_acc 0.9470 +top5_acc 0.9962 +2025-07-01 21:14:13,573 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9470, top5_acc: 0.9962 +2025-07-01 21:14:56,884 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:13:25, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4268, loss: 0.4268 +2025-07-01 21:15:14,994 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:13:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4013, loss: 0.4013 +2025-07-01 21:15:33,120 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:12:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3665, loss: 0.3665 +2025-07-01 21:15:50,993 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:12:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3958, loss: 0.3958 +2025-07-01 21:16:09,185 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:12:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 0.4793, loss: 0.4793 +2025-07-01 21:16:27,076 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:11:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4062, loss: 0.4062 +2025-07-01 21:16:45,525 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:11:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9888, loss_cls: 0.4811, loss: 0.4811 +2025-07-01 21:17:03,737 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:11:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4539, loss: 0.4539 +2025-07-01 21:17:22,433 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-01 21:18:00,800 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:18:00,830 - pyskl - INFO - +top1_acc 0.9434 +top5_acc 0.9968 +2025-07-01 21:18:00,831 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9434, top5_acc: 0.9968 +2025-07-01 21:18:44,225 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:10:42, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4331, loss: 0.4331 +2025-07-01 21:19:02,041 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:10:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 0.4237, loss: 0.4237 +2025-07-01 21:19:20,145 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:10:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4067, loss: 0.4067 +2025-07-01 21:19:38,403 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:09:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.4028, loss: 0.4028 +2025-07-01 21:19:56,420 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:09:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 0.4013, loss: 0.4013 +2025-07-01 21:20:14,380 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:09:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4238, loss: 0.4238 +2025-07-01 21:20:32,454 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:08:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4699, loss: 0.4699 +2025-07-01 21:20:50,379 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:08:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4551, loss: 0.4551 +2025-07-01 21:21:08,829 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-01 21:21:46,844 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:21:46,873 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9960 +2025-07-01 21:21:46,875 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9498, top5_acc: 0.9960 +2025-07-01 21:22:30,067 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:07:58, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9975, loss_cls: 0.3901, loss: 0.3901 +2025-07-01 21:22:48,116 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:07:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3995, loss: 0.3995 +2025-07-01 21:23:06,601 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:07:20, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9938, loss_cls: 0.4673, loss: 0.4673 +2025-07-01 21:23:24,715 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:07:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.3994, loss: 0.3994 +2025-07-01 21:23:42,772 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:06:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4152, loss: 0.4152 +2025-07-01 21:24:00,989 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:06:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9919, loss_cls: 0.4014, loss: 0.4014 +2025-07-01 21:24:19,016 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:06:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9944, loss_cls: 0.4310, loss: 0.4310 +2025-07-01 21:24:37,296 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:05:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.4216, loss: 0.4216 +2025-07-01 21:24:55,987 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-01 21:25:33,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:25:33,865 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9942 +2025-07-01 21:25:33,866 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9314, top5_acc: 0.9942 +2025-07-01 21:26:17,065 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:05:15, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9975, loss_cls: 0.3975, loss: 0.3975 +2025-07-01 21:26:35,129 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:04:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4333, loss: 0.4333 +2025-07-01 21:26:53,632 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:04:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4231, loss: 0.4231 +2025-07-01 21:27:11,916 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:04:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4566, loss: 0.4566 +2025-07-01 21:27:29,842 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:03:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4313, loss: 0.4313 +2025-07-01 21:27:47,907 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:03:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4202, loss: 0.4202 +2025-07-01 21:28:05,817 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:03:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4032, loss: 0.4032 +2025-07-01 21:28:23,982 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:02:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4413, loss: 0.4413 +2025-07-01 21:28:42,280 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-01 21:29:20,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:29:21,016 - pyskl - INFO - +top1_acc 0.9414 +top5_acc 0.9950 +2025-07-01 21:29:21,017 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9414, top5_acc: 0.9950 +2025-07-01 21:30:05,275 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:02:32, time: 0.443, data_time: 0.256, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3831, loss: 0.3831 +2025-07-01 21:30:23,470 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:02:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4084, loss: 0.4084 +2025-07-01 21:30:41,633 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:01:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4352, loss: 0.4352 +2025-07-01 21:30:59,641 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:01:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4555, loss: 0.4555 +2025-07-01 21:31:17,608 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:01:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3983, loss: 0.3983 +2025-07-01 21:31:36,475 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:00:56, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3722, loss: 0.3722 +2025-07-01 21:31:54,358 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 4:00:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9962, loss_cls: 0.4811, loss: 0.4811 +2025-07-01 21:32:12,530 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 4:00:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3809, loss: 0.3809 +2025-07-01 21:32:31,293 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-01 21:33:09,701 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:33:09,724 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9974 +2025-07-01 21:33:09,725 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9482, top5_acc: 0.9974 +2025-07-01 21:33:52,825 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:59:49, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.4009, loss: 0.4009 +2025-07-01 21:34:11,146 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:59:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 0.4320, loss: 0.4320 +2025-07-01 21:34:29,423 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:59:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4285, loss: 0.4285 +2025-07-01 21:34:47,837 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:58:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.3928, loss: 0.3928 +2025-07-01 21:35:05,803 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:58:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9925, loss_cls: 0.3854, loss: 0.3854 +2025-07-01 21:35:24,016 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:58:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9919, loss_cls: 0.4072, loss: 0.4072 +2025-07-01 21:35:42,240 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:57:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4261, loss: 0.4261 +2025-07-01 21:35:59,988 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:57:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9906, loss_cls: 0.4390, loss: 0.4390 +2025-07-01 21:36:18,444 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-01 21:36:56,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:36:56,160 - pyskl - INFO - +top1_acc 0.9441 +top5_acc 0.9958 +2025-07-01 21:36:56,162 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9441, top5_acc: 0.9958 +2025-07-01 21:37:38,773 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:57:04, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9981, loss_cls: 0.4200, loss: 0.4200 +2025-07-01 21:37:56,700 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:56:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3757, loss: 0.3757 +2025-07-01 21:38:14,817 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:56:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9931, loss_cls: 0.4051, loss: 0.4051 +2025-07-01 21:38:32,862 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:56:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 0.3938, loss: 0.3938 +2025-07-01 21:38:50,930 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:55:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4315, loss: 0.4315 +2025-07-01 21:39:08,642 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:55:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3562, loss: 0.3562 +2025-07-01 21:39:27,028 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:55:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3967, loss: 0.3967 +2025-07-01 21:39:44,932 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:54:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4041, loss: 0.4041 +2025-07-01 21:40:03,508 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-01 21:40:41,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:40:41,460 - pyskl - INFO - +top1_acc 0.9346 +top5_acc 0.9953 +2025-07-01 21:40:41,461 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9346, top5_acc: 0.9953 +2025-07-01 21:41:24,714 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:54:19, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.4147, loss: 0.4147 +2025-07-01 21:41:42,995 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:54:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.3842, loss: 0.3842 +2025-07-01 21:42:01,257 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:53:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.4199, loss: 0.4199 +2025-07-01 21:42:19,236 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:53:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4252, loss: 0.4252 +2025-07-01 21:42:37,234 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:53:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9931, loss_cls: 0.4069, loss: 0.4069 +2025-07-01 21:42:55,074 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:52:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3940, loss: 0.3940 +2025-07-01 21:43:13,193 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:52:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3957, loss: 0.3957 +2025-07-01 21:43:31,347 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:52:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3908, loss: 0.3908 +2025-07-01 21:43:49,714 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-01 21:44:27,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:44:27,630 - pyskl - INFO - +top1_acc 0.9438 +top5_acc 0.9949 +2025-07-01 21:44:27,631 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9438, top5_acc: 0.9949 +2025-07-01 21:45:10,592 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:51:34, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9975, loss_cls: 0.4274, loss: 0.4274 +2025-07-01 21:45:28,991 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:51:15, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3660, loss: 0.3660 +2025-07-01 21:45:47,174 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:50:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3601, loss: 0.3601 +2025-07-01 21:46:05,135 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:50:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3542, loss: 0.3542 +2025-07-01 21:46:23,533 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:50:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9919, loss_cls: 0.4178, loss: 0.4178 +2025-07-01 21:46:41,494 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:49:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4080, loss: 0.4080 +2025-07-01 21:46:59,530 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:49:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3716, loss: 0.3716 +2025-07-01 21:47:17,322 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:49:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4077, loss: 0.4077 +2025-07-01 21:47:35,755 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-01 21:48:14,086 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:48:14,115 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9960 +2025-07-01 21:48:14,116 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9449, top5_acc: 0.9960 +2025-07-01 21:48:56,674 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:48:48, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3478, loss: 0.3478 +2025-07-01 21:49:14,762 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:48:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9969, loss_cls: 0.3878, loss: 0.3878 +2025-07-01 21:49:33,233 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:48:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3405, loss: 0.3405 +2025-07-01 21:49:51,429 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:47:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3892, loss: 0.3892 +2025-07-01 21:50:09,661 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:47:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3615, loss: 0.3615 +2025-07-01 21:50:27,580 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:47:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3562, loss: 0.3562 +2025-07-01 21:50:45,977 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:46:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3873, loss: 0.3873 +2025-07-01 21:51:03,973 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:46:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4353, loss: 0.4353 +2025-07-01 21:51:22,293 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-01 21:52:00,284 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:52:00,316 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9917 +2025-07-01 21:52:00,320 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9101, top5_acc: 0.9917 +2025-07-01 21:52:43,356 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:46:04, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.4277, loss: 0.4277 +2025-07-01 21:53:01,471 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:45:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.3684, loss: 0.3684 +2025-07-01 21:53:19,759 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:45:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9988, loss_cls: 0.4044, loss: 0.4044 +2025-07-01 21:53:37,912 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:45:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3515, loss: 0.3515 +2025-07-01 21:53:56,435 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:44:47, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.3923, loss: 0.3923 +2025-07-01 21:54:14,475 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:44:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.3709, loss: 0.3709 +2025-07-01 21:54:32,522 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:44:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3648, loss: 0.3648 +2025-07-01 21:54:50,397 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:43:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9919, loss_cls: 0.3505, loss: 0.3505 +2025-07-01 21:55:08,697 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-01 21:55:47,674 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:55:47,697 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9953 +2025-07-01 21:55:47,698 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9393, top5_acc: 0.9953 +2025-07-01 21:56:30,612 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:43:19, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.4184, loss: 0.4184 +2025-07-01 21:56:48,795 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:42:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3964, loss: 0.3964 +2025-07-01 21:57:06,595 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:42:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9950, loss_cls: 0.4176, loss: 0.4176 +2025-07-01 21:57:24,642 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:42:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9919, loss_cls: 0.3411, loss: 0.3411 +2025-07-01 21:57:42,850 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:42:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.3871, loss: 0.3871 +2025-07-01 21:58:01,313 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:41:42, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.3814, loss: 0.3814 +2025-07-01 21:58:19,386 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:41:23, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4188, loss: 0.4188 +2025-07-01 21:58:37,231 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:41:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3694, loss: 0.3694 +2025-07-01 21:58:55,855 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-01 21:59:34,227 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 21:59:34,250 - pyskl - INFO - +top1_acc 0.9507 +top5_acc 0.9968 +2025-07-01 21:59:34,251 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9507, top5_acc: 0.9968 +2025-07-01 22:00:17,002 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:40:33, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9956, loss_cls: 0.3365, loss: 0.3365 +2025-07-01 22:00:35,611 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:40:14, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3452, loss: 0.3452 +2025-07-01 22:00:53,721 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:39:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3310, loss: 0.3310 +2025-07-01 22:01:11,952 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:39:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.3140, loss: 0.3140 +2025-07-01 22:01:30,274 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:39:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3679, loss: 0.3679 +2025-07-01 22:01:48,416 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:38:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9962, loss_cls: 0.3871, loss: 0.3871 +2025-07-01 22:02:06,554 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:38:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3672, loss: 0.3672 +2025-07-01 22:02:24,553 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:38:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 0.3831, loss: 0.3831 +2025-07-01 22:02:43,297 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-01 22:03:21,806 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:03:21,832 - pyskl - INFO - +top1_acc 0.9542 +top5_acc 0.9969 +2025-07-01 22:03:21,836 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_52.pth was removed +2025-07-01 22:03:22,005 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_72.pth. +2025-07-01 22:03:22,006 - pyskl - INFO - Best top1_acc is 0.9542 at 72 epoch. +2025-07-01 22:03:22,007 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9542, top5_acc: 0.9969 +2025-07-01 22:04:05,092 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:37:48, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.3750, loss: 0.3750 +2025-07-01 22:04:23,378 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:37:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 0.2994, loss: 0.2994 +2025-07-01 22:04:41,256 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:37:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3295, loss: 0.3295 +2025-07-01 22:04:59,338 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:36:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9975, loss_cls: 0.3182, loss: 0.3182 +2025-07-01 22:05:17,456 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:36:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9969, loss_cls: 0.3385, loss: 0.3385 +2025-07-01 22:05:35,558 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:36:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3586, loss: 0.3586 +2025-07-01 22:05:53,691 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:35:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.4080, loss: 0.4080 +2025-07-01 22:06:11,652 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:35:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3731, loss: 0.3731 +2025-07-01 22:06:30,228 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-01 22:07:07,961 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:07:07,984 - pyskl - INFO - +top1_acc 0.9537 +top5_acc 0.9957 +2025-07-01 22:07:07,986 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9537, top5_acc: 0.9957 +2025-07-01 22:07:50,870 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:35:02, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9925, loss_cls: 0.3616, loss: 0.3616 +2025-07-01 22:08:09,070 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:34:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3803, loss: 0.3803 +2025-07-01 22:08:27,100 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:34:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3314, loss: 0.3314 +2025-07-01 22:08:45,552 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:34:04, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9988, loss_cls: 0.3494, loss: 0.3494 +2025-07-01 22:09:03,651 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:33:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.4039, loss: 0.4039 +2025-07-01 22:09:21,845 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:33:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9975, loss_cls: 0.3394, loss: 0.3394 +2025-07-01 22:09:39,782 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:33:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9919, loss_cls: 0.3840, loss: 0.3840 +2025-07-01 22:09:58,105 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:32:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9912, loss_cls: 0.3543, loss: 0.3543 +2025-07-01 22:10:16,787 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-01 22:10:54,858 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:10:54,881 - pyskl - INFO - +top1_acc 0.9530 +top5_acc 0.9965 +2025-07-01 22:10:54,882 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9530, top5_acc: 0.9965 +2025-07-01 22:11:37,871 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:32:17, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3534, loss: 0.3534 +2025-07-01 22:11:55,946 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:31:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.3300, loss: 0.3300 +2025-07-01 22:12:13,996 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:31:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3345, loss: 0.3345 +2025-07-01 22:12:32,031 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:31:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9969, loss_cls: 0.4013, loss: 0.4013 +2025-07-01 22:12:49,952 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:30:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3261, loss: 0.3261 +2025-07-01 22:13:08,201 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:30:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3343, loss: 0.3343 +2025-07-01 22:13:26,249 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:30:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3349, loss: 0.3349 +2025-07-01 22:13:44,376 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:30:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9988, loss_cls: 0.3761, loss: 0.3761 +2025-07-01 22:14:02,740 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-01 22:14:40,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:14:40,523 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9961 +2025-07-01 22:14:40,527 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_72.pth was removed +2025-07-01 22:14:40,695 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_75.pth. +2025-07-01 22:14:40,696 - pyskl - INFO - Best top1_acc is 0.9553 at 75 epoch. +2025-07-01 22:14:40,698 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9553, top5_acc: 0.9961 +2025-07-01 22:15:23,104 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:29:30, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3246, loss: 0.3246 +2025-07-01 22:15:40,914 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:29:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3354, loss: 0.3354 +2025-07-01 22:15:59,160 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:28:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3324, loss: 0.3324 +2025-07-01 22:16:17,111 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:28:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.3324, loss: 0.3324 +2025-07-01 22:16:35,256 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:28:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9975, loss_cls: 0.3329, loss: 0.3329 +2025-07-01 22:16:53,512 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:27:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2918, loss: 0.2918 +2025-07-01 22:17:11,531 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:27:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.3317, loss: 0.3317 +2025-07-01 22:17:29,666 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:27:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.3132, loss: 0.3132 +2025-07-01 22:17:48,272 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-01 22:18:25,916 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:18:25,948 - pyskl - INFO - +top1_acc 0.9495 +top5_acc 0.9962 +2025-07-01 22:18:25,950 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9495, top5_acc: 0.9962 +2025-07-01 22:19:09,092 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:26:44, time: 0.431, data_time: 0.242, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.3211, loss: 0.3211 +2025-07-01 22:19:27,076 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:26:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3335, loss: 0.3335 +2025-07-01 22:19:45,437 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:26:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9944, loss_cls: 0.3400, loss: 0.3400 +2025-07-01 22:20:03,771 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:25:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9969, loss_cls: 0.3514, loss: 0.3514 +2025-07-01 22:20:22,069 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:25:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3267, loss: 0.3267 +2025-07-01 22:20:40,448 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:25:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3597, loss: 0.3597 +2025-07-01 22:20:58,622 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:24:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9912, loss_cls: 0.3973, loss: 0.3973 +2025-07-01 22:21:16,875 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:24:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9888, loss_cls: 0.3638, loss: 0.3638 +2025-07-01 22:21:35,481 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-01 22:22:13,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:22:13,999 - pyskl - INFO - +top1_acc 0.9601 +top5_acc 0.9972 +2025-07-01 22:22:14,003 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_75.pth was removed +2025-07-01 22:22:14,179 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-01 22:22:14,180 - pyskl - INFO - Best top1_acc is 0.9601 at 77 epoch. +2025-07-01 22:22:14,181 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9601, top5_acc: 0.9972 +2025-07-01 22:22:58,022 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:23:59, time: 0.438, data_time: 0.254, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2644, loss: 0.2644 +2025-07-01 22:23:16,171 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:23:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.3046, loss: 0.3046 +2025-07-01 22:23:34,415 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:23:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3232, loss: 0.3232 +2025-07-01 22:23:52,224 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:23:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2876, loss: 0.2876 +2025-07-01 22:24:09,957 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:22:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3368, loss: 0.3368 +2025-07-01 22:24:28,152 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:22:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2963, loss: 0.2963 +2025-07-01 22:24:46,048 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:22:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3429, loss: 0.3429 +2025-07-01 22:25:04,052 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:21:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.2871, loss: 0.2871 +2025-07-01 22:25:22,489 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-01 22:25:59,825 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:25:59,847 - pyskl - INFO - +top1_acc 0.9521 +top5_acc 0.9958 +2025-07-01 22:25:59,848 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9521, top5_acc: 0.9958 +2025-07-01 22:26:43,285 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:21:13, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2564, loss: 0.2564 +2025-07-01 22:27:01,323 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:20:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.3017, loss: 0.3017 +2025-07-01 22:27:19,456 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:20:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9950, loss_cls: 0.3301, loss: 0.3301 +2025-07-01 22:27:37,405 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:20:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3655, loss: 0.3655 +2025-07-01 22:27:55,332 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:19:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3690, loss: 0.3690 +2025-07-01 22:28:13,434 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:19:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3728, loss: 0.3728 +2025-07-01 22:28:31,189 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:19:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3121, loss: 0.3121 +2025-07-01 22:28:49,238 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:18:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3469, loss: 0.3469 +2025-07-01 22:29:07,745 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-01 22:29:45,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:29:45,660 - pyskl - INFO - +top1_acc 0.9638 +top5_acc 0.9968 +2025-07-01 22:29:45,666 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_77.pth was removed +2025-07-01 22:29:45,869 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-01 22:29:45,869 - pyskl - INFO - Best top1_acc is 0.9638 at 79 epoch. +2025-07-01 22:29:45,871 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9638, top5_acc: 0.9968 +2025-07-01 22:30:29,035 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:18:26, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9956, loss_cls: 0.2945, loss: 0.2945 +2025-07-01 22:30:47,261 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:18:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3239, loss: 0.3239 +2025-07-01 22:31:05,489 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:17:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3131, loss: 0.3131 +2025-07-01 22:31:23,298 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:17:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2646, loss: 0.2646 +2025-07-01 22:31:41,433 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:17:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9950, loss_cls: 0.3257, loss: 0.3257 +2025-07-01 22:31:59,489 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:16:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3296, loss: 0.3296 +2025-07-01 22:32:17,589 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:16:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9962, loss_cls: 0.3709, loss: 0.3709 +2025-07-01 22:32:35,749 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:16:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2710, loss: 0.2710 +2025-07-01 22:32:54,670 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-01 22:33:32,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:33:32,831 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9957 +2025-07-01 22:33:32,832 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9496, top5_acc: 0.9957 +2025-07-01 22:34:15,691 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:15:39, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9938, loss_cls: 0.3253, loss: 0.3253 +2025-07-01 22:34:33,856 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:15:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3231, loss: 0.3231 +2025-07-01 22:34:51,892 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:15:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2908, loss: 0.2908 +2025-07-01 22:35:09,821 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:14:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3036, loss: 0.3036 +2025-07-01 22:35:27,698 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:14:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2460, loss: 0.2460 +2025-07-01 22:35:45,591 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:14:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9988, loss_cls: 0.3010, loss: 0.3010 +2025-07-01 22:36:03,535 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:13:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3276, loss: 0.3276 +2025-07-01 22:36:21,680 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:13:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3530, loss: 0.3530 +2025-07-01 22:36:40,145 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-01 22:37:18,082 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:37:18,105 - pyskl - INFO - +top1_acc 0.9588 +top5_acc 0.9962 +2025-07-01 22:37:18,107 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9588, top5_acc: 0.9962 +2025-07-01 22:38:01,150 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:12:52, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2711, loss: 0.2711 +2025-07-01 22:38:19,486 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:12:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2588, loss: 0.2588 +2025-07-01 22:38:37,769 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:12:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2895, loss: 0.2895 +2025-07-01 22:38:56,203 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:11:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2803, loss: 0.2803 +2025-07-01 22:39:14,384 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:11:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3526, loss: 0.3526 +2025-07-01 22:39:32,544 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:11:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.3166, loss: 0.3166 +2025-07-01 22:39:50,573 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:10:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9925, loss_cls: 0.3911, loss: 0.3911 +2025-07-01 22:40:09,131 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:10:39, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3249, loss: 0.3249 +2025-07-01 22:40:27,842 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-01 22:41:05,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:41:06,015 - pyskl - INFO - +top1_acc 0.9633 +top5_acc 0.9968 +2025-07-01 22:41:06,016 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9633, top5_acc: 0.9968 +2025-07-01 22:41:48,692 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:10:07, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3120, loss: 0.3120 +2025-07-01 22:42:06,953 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:09:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9981, loss_cls: 0.2753, loss: 0.2753 +2025-07-01 22:42:25,093 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:09:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2736, loss: 0.2736 +2025-07-01 22:42:43,029 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:09:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2636, loss: 0.2636 +2025-07-01 22:43:01,121 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:08:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.2947, loss: 0.2947 +2025-07-01 22:43:19,077 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:08:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2730, loss: 0.2730 +2025-07-01 22:43:36,855 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:08:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3254, loss: 0.3254 +2025-07-01 22:43:54,958 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:07:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3040, loss: 0.3040 +2025-07-01 22:44:13,632 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-01 22:44:51,033 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:44:51,062 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9965 +2025-07-01 22:44:51,063 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9474, top5_acc: 0.9965 +2025-07-01 22:45:34,305 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:07:20, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2695, loss: 0.2695 +2025-07-01 22:45:52,696 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:07:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2759, loss: 0.2759 +2025-07-01 22:46:10,843 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:06:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9994, loss_cls: 0.2619, loss: 0.2619 +2025-07-01 22:46:28,765 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:06:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2589, loss: 0.2589 +2025-07-01 22:46:46,724 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:06:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.2984, loss: 0.2984 +2025-07-01 22:47:04,697 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:05:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3614, loss: 0.3614 +2025-07-01 22:47:22,568 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:05:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9938, loss_cls: 0.3221, loss: 0.3221 +2025-07-01 22:47:40,921 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:05:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3146, loss: 0.3146 +2025-07-01 22:47:59,533 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-01 22:48:37,602 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:48:37,631 - pyskl - INFO - +top1_acc 0.9452 +top5_acc 0.9957 +2025-07-01 22:48:37,632 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9452, top5_acc: 0.9957 +2025-07-01 22:49:20,271 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:04:33, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2637, loss: 0.2637 +2025-07-01 22:49:38,483 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:04:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9988, loss_cls: 0.2947, loss: 0.2947 +2025-07-01 22:49:56,494 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:03:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2517, loss: 0.2517 +2025-07-01 22:50:14,393 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:03:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9988, loss_cls: 0.2442, loss: 0.2442 +2025-07-01 22:50:32,452 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:03:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2997, loss: 0.2997 +2025-07-01 22:50:50,442 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:02:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3136, loss: 0.3136 +2025-07-01 22:51:08,346 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:02:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.2977, loss: 0.2977 +2025-07-01 22:51:26,484 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:02:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.2962, loss: 0.2962 +2025-07-01 22:51:44,991 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-01 22:52:22,862 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:52:22,885 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9975 +2025-07-01 22:52:22,887 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9630, top5_acc: 0.9975 +2025-07-01 22:53:05,809 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:01:45, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2490, loss: 0.2490 +2025-07-01 22:53:24,160 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:01:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2734, loss: 0.2734 +2025-07-01 22:53:42,432 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:01:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2690, loss: 0.2690 +2025-07-01 22:54:00,403 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:00:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2564, loss: 0.2564 +2025-07-01 22:54:18,437 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 3:00:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9988, loss_cls: 0.2674, loss: 0.2674 +2025-07-01 22:54:36,424 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 3:00:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3103, loss: 0.3103 +2025-07-01 22:54:54,716 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:59:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3404, loss: 0.3404 +2025-07-01 22:55:12,814 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:59:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3052, loss: 0.3052 +2025-07-01 22:55:31,562 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-01 22:56:09,355 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:56:09,379 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9969 +2025-07-01 22:56:09,380 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9506, top5_acc: 0.9969 +2025-07-01 22:56:51,969 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:58:58, time: 0.426, data_time: 0.236, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2884, loss: 0.2884 +2025-07-01 22:57:10,306 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:58:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2270, loss: 0.2270 +2025-07-01 22:57:28,481 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:58:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2568, loss: 0.2568 +2025-07-01 22:57:46,840 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:58:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3150, loss: 0.3150 +2025-07-01 22:58:05,360 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:57:42, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2294, loss: 0.2294 +2025-07-01 22:58:23,628 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:57:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9950, loss_cls: 0.2741, loss: 0.2741 +2025-07-01 22:58:41,653 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:57:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9994, loss_cls: 0.2544, loss: 0.2544 +2025-07-01 22:58:59,750 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:56:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2868, loss: 0.2868 +2025-07-01 22:59:18,282 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-01 22:59:56,569 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 22:59:56,592 - pyskl - INFO - +top1_acc 0.9588 +top5_acc 0.9968 +2025-07-01 22:59:56,593 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9588, top5_acc: 0.9968 +2025-07-01 23:00:39,801 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:56:12, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2063, loss: 0.2063 +2025-07-01 23:00:58,102 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:55:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9981, loss_cls: 0.2459, loss: 0.2459 +2025-07-01 23:01:16,040 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:55:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2201, loss: 0.2201 +2025-07-01 23:01:34,052 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:55:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2470, loss: 0.2470 +2025-07-01 23:01:51,962 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:54:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2481, loss: 0.2481 +2025-07-01 23:02:09,861 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:54:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.3061, loss: 0.3061 +2025-07-01 23:02:27,797 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:54:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2802, loss: 0.2802 +2025-07-01 23:02:46,038 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3007, loss: 0.3007 +2025-07-01 23:03:04,836 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-01 23:03:43,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:03:43,254 - pyskl - INFO - +top1_acc 0.9584 +top5_acc 0.9968 +2025-07-01 23:03:43,256 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9584, top5_acc: 0.9968 +2025-07-01 23:04:25,697 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:53:25, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2173, loss: 0.2173 +2025-07-01 23:04:44,042 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:53:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2683, loss: 0.2683 +2025-07-01 23:05:02,278 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:52:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2311, loss: 0.2311 +2025-07-01 23:05:20,422 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:52:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2345, loss: 0.2345 +2025-07-01 23:05:38,782 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:52:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2539, loss: 0.2539 +2025-07-01 23:05:56,722 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:51:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2126, loss: 0.2126 +2025-07-01 23:06:14,861 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:51:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2388, loss: 0.2388 +2025-07-01 23:06:33,168 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:51:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2599, loss: 0.2599 +2025-07-01 23:06:51,620 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-01 23:07:29,420 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:07:29,442 - pyskl - INFO - +top1_acc 0.9663 +top5_acc 0.9968 +2025-07-01 23:07:29,446 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_79.pth was removed +2025-07-01 23:07:29,610 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2025-07-01 23:07:29,611 - pyskl - INFO - Best top1_acc is 0.9663 at 89 epoch. +2025-07-01 23:07:29,612 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9663, top5_acc: 0.9968 +2025-07-01 23:08:12,213 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:50:38, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.2102, loss: 0.2102 +2025-07-01 23:08:30,401 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:50:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9950, loss_cls: 0.2580, loss: 0.2580 +2025-07-01 23:08:48,566 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:50:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2326, loss: 0.2326 +2025-07-01 23:09:06,300 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:49:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9988, loss_cls: 0.2269, loss: 0.2269 +2025-07-01 23:09:24,186 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:49:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.2178, loss: 0.2178 +2025-07-01 23:09:41,793 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:49:01, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9950, loss_cls: 0.2482, loss: 0.2482 +2025-07-01 23:09:59,677 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:48:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2511, loss: 0.2511 +2025-07-01 23:10:18,060 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:48:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2189, loss: 0.2189 +2025-07-01 23:10:36,762 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-01 23:11:13,897 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:11:13,920 - pyskl - INFO - +top1_acc 0.9456 +top5_acc 0.9962 +2025-07-01 23:11:13,921 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9456, top5_acc: 0.9962 +2025-07-01 23:11:56,920 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:47:50, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2864, loss: 0.2864 +2025-07-01 23:12:14,925 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:47:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2247, loss: 0.2247 +2025-07-01 23:12:32,659 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:47:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9981, loss_cls: 0.2317, loss: 0.2317 +2025-07-01 23:12:50,750 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:46:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2728, loss: 0.2728 +2025-07-01 23:13:09,105 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:46:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2243, loss: 0.2243 +2025-07-01 23:13:26,945 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:46:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2481, loss: 0.2481 +2025-07-01 23:13:45,318 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2110, loss: 0.2110 +2025-07-01 23:14:03,328 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:45:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2314, loss: 0.2314 +2025-07-01 23:14:21,931 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-01 23:15:00,099 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:15:00,121 - pyskl - INFO - +top1_acc 0.9560 +top5_acc 0.9971 +2025-07-01 23:15:00,122 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9560, top5_acc: 0.9971 +2025-07-01 23:15:42,882 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:45:03, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2160, loss: 0.2160 +2025-07-01 23:16:00,681 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:44:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2630, loss: 0.2630 +2025-07-01 23:16:19,113 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:44:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2268, loss: 0.2268 +2025-07-01 23:16:37,334 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:44:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.2011, loss: 0.2011 +2025-07-01 23:16:55,558 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:43:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9994, loss_cls: 0.2600, loss: 0.2600 +2025-07-01 23:17:13,364 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:43:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9938, loss_cls: 0.2471, loss: 0.2471 +2025-07-01 23:17:31,380 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:43:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9956, loss_cls: 0.2528, loss: 0.2528 +2025-07-01 23:17:49,358 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:42:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2629, loss: 0.2629 +2025-07-01 23:18:08,056 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-01 23:18:46,174 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:18:46,198 - pyskl - INFO - +top1_acc 0.9573 +top5_acc 0.9967 +2025-07-01 23:18:46,200 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9573, top5_acc: 0.9967 +2025-07-01 23:19:29,482 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:42:15, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9637, top5_acc: 1.0000, loss_cls: 0.2155, loss: 0.2155 +2025-07-01 23:19:47,698 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2146, loss: 0.2146 +2025-07-01 23:20:05,853 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:41:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2292, loss: 0.2292 +2025-07-01 23:20:23,853 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:41:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1973, loss: 0.1973 +2025-07-01 23:20:41,812 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1727, loss: 0.1727 +2025-07-01 23:20:59,599 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:40:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2080, loss: 0.2080 +2025-07-01 23:21:17,409 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:40:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2655, loss: 0.2655 +2025-07-01 23:21:35,651 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:40:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2165, loss: 0.2165 +2025-07-01 23:21:54,312 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-01 23:22:31,985 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:22:32,014 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9967 +2025-07-01 23:22:32,016 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9630, top5_acc: 0.9967 +2025-07-01 23:23:14,956 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:39:28, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2126, loss: 0.2126 +2025-07-01 23:23:33,022 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:39:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2317, loss: 0.2317 +2025-07-01 23:23:50,729 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:38:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9981, loss_cls: 0.2325, loss: 0.2325 +2025-07-01 23:24:08,900 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:38:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2337, loss: 0.2337 +2025-07-01 23:24:27,051 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:38:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.2077, loss: 0.2077 +2025-07-01 23:24:44,785 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1874, loss: 0.1874 +2025-07-01 23:25:03,066 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9981, loss_cls: 0.2612, loss: 0.2612 +2025-07-01 23:25:21,229 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:37:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2148, loss: 0.2148 +2025-07-01 23:25:39,645 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-01 23:26:16,449 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:26:16,478 - pyskl - INFO - +top1_acc 0.9673 +top5_acc 0.9974 +2025-07-01 23:26:16,482 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_89.pth was removed +2025-07-01 23:26:16,674 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-07-01 23:26:16,675 - pyskl - INFO - Best top1_acc is 0.9673 at 94 epoch. +2025-07-01 23:26:16,676 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9673, top5_acc: 0.9974 +2025-07-01 23:26:58,760 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:36:40, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1754, loss: 0.1754 +2025-07-01 23:27:16,680 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:36:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2238, loss: 0.2238 +2025-07-01 23:27:34,525 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:36:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.2086, loss: 0.2086 +2025-07-01 23:27:52,460 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:35:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2231, loss: 0.2231 +2025-07-01 23:28:10,605 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:35:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2275, loss: 0.2275 +2025-07-01 23:28:28,395 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:35:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2202, loss: 0.2202 +2025-07-01 23:28:46,411 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:34:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9994, loss_cls: 0.2634, loss: 0.2634 +2025-07-01 23:29:04,537 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:34:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2187, loss: 0.2187 +2025-07-01 23:29:23,283 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-01 23:30:00,821 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:30:00,844 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9968 +2025-07-01 23:30:00,845 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9609, top5_acc: 0.9968 +2025-07-01 23:30:43,642 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:52, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.2046, loss: 0.2046 +2025-07-01 23:31:01,604 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1856, loss: 0.1856 +2025-07-01 23:31:19,588 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:33:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2110, loss: 0.2110 +2025-07-01 23:31:37,746 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1794, loss: 0.1794 +2025-07-01 23:31:55,937 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:32:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.2026, loss: 0.2026 +2025-07-01 23:32:13,694 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:32:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2283, loss: 0.2283 +2025-07-01 23:32:32,174 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:57, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2272, loss: 0.2272 +2025-07-01 23:32:50,394 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:31:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2106, loss: 0.2106 +2025-07-01 23:33:08,979 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-01 23:33:47,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:33:47,241 - pyskl - INFO - +top1_acc 0.9663 +top5_acc 0.9967 +2025-07-01 23:33:47,243 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9663, top5_acc: 0.9967 +2025-07-01 23:34:30,012 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:31:04, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2242, loss: 0.2242 +2025-07-01 23:34:48,353 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:30:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2235, loss: 0.2235 +2025-07-01 23:35:06,460 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.1903, loss: 0.1903 +2025-07-01 23:35:24,585 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:30:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2083, loss: 0.2083 +2025-07-01 23:35:42,642 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1889, loss: 0.1889 +2025-07-01 23:36:00,579 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1887, loss: 0.1887 +2025-07-01 23:36:18,796 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:29:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2517, loss: 0.2517 +2025-07-01 23:36:36,983 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1954, loss: 0.1954 +2025-07-01 23:36:55,584 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-01 23:37:33,659 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:37:33,682 - pyskl - INFO - +top1_acc 0.9638 +top5_acc 0.9964 +2025-07-01 23:37:33,683 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9638, top5_acc: 0.9964 +2025-07-01 23:38:16,409 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:28:17, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1918, loss: 0.1918 +2025-07-01 23:38:34,391 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2429, loss: 0.2429 +2025-07-01 23:38:52,669 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1913, loss: 0.1913 +2025-07-01 23:39:11,023 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:27:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1842, loss: 0.1842 +2025-07-01 23:39:29,233 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:27:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1919, loss: 0.1919 +2025-07-01 23:39:47,191 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:26:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2038, loss: 0.2038 +2025-07-01 23:40:05,441 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:26:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2335, loss: 0.2335 +2025-07-01 23:40:23,767 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:26:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.2111, loss: 0.2111 +2025-07-01 23:40:42,626 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-01 23:41:20,540 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:41:20,563 - pyskl - INFO - +top1_acc 0.9339 +top5_acc 0.9962 +2025-07-01 23:41:20,564 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9339, top5_acc: 0.9962 +2025-07-01 23:42:03,802 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:30, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.3167, loss: 0.3167 +2025-07-01 23:42:21,783 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:25:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2404, loss: 0.2404 +2025-07-01 23:42:40,089 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2221, loss: 0.2221 +2025-07-01 23:42:58,692 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:33, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 1.0000, loss_cls: 0.1871, loss: 0.1871 +2025-07-01 23:43:16,737 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:24:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2021, loss: 0.2021 +2025-07-01 23:43:34,655 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.2159, loss: 0.2159 +2025-07-01 23:43:52,695 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2055, loss: 0.2055 +2025-07-01 23:44:10,759 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:23:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.2028, loss: 0.2028 +2025-07-01 23:44:29,255 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-01 23:45:06,594 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:45:06,617 - pyskl - INFO - +top1_acc 0.9605 +top5_acc 0.9968 +2025-07-01 23:45:06,618 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9605, top5_acc: 0.9968 +2025-07-01 23:45:49,010 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:42, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1717, loss: 0.1717 +2025-07-01 23:46:07,314 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:22:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.1999, loss: 0.1999 +2025-07-01 23:46:25,540 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:22:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.1933, loss: 0.1933 +2025-07-01 23:46:43,849 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1755, loss: 0.1755 +2025-07-01 23:47:01,881 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9975, loss_cls: 0.2101, loss: 0.2101 +2025-07-01 23:47:19,920 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:21:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.2011, loss: 0.2011 +2025-07-01 23:47:37,788 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1692, loss: 0.1692 +2025-07-01 23:47:56,144 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.1985, loss: 0.1985 +2025-07-01 23:48:14,837 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-01 23:48:52,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:48:52,804 - pyskl - INFO - +top1_acc 0.9669 +top5_acc 0.9967 +2025-07-01 23:48:52,805 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9669, top5_acc: 0.9967 +2025-07-01 23:49:35,403 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:55, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2114, loss: 0.2114 +2025-07-01 23:49:53,460 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1647, loss: 0.1647 +2025-07-01 23:50:11,893 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:19:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1482, loss: 0.1482 +2025-07-01 23:50:30,322 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1478, loss: 0.1478 +2025-07-01 23:50:48,523 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1849, loss: 0.1849 +2025-07-01 23:51:06,400 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:18:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1749, loss: 0.1749 +2025-07-01 23:51:24,579 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:18:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2195, loss: 0.2195 +2025-07-01 23:51:42,633 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1869, loss: 0.1869 +2025-07-01 23:52:00,986 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-01 23:52:38,940 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:52:38,962 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9971 +2025-07-01 23:52:38,966 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_94.pth was removed +2025-07-01 23:52:39,127 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2025-07-01 23:52:39,127 - pyskl - INFO - Best top1_acc is 0.9698 at 101 epoch. +2025-07-01 23:52:39,129 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9698, top5_acc: 0.9971 +2025-07-01 23:53:21,393 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:17:07, time: 0.423, data_time: 0.236, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1805, loss: 0.1805 +2025-07-01 23:53:39,508 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1528, loss: 0.1528 +2025-07-01 23:53:58,308 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:29, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1432, loss: 0.1432 +2025-07-01 23:54:16,881 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:16:10, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1457, loss: 0.1457 +2025-07-01 23:54:35,049 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1833, loss: 0.1833 +2025-07-01 23:54:53,147 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2267, loss: 0.2267 +2025-07-01 23:55:11,555 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:15:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2070, loss: 0.2070 +2025-07-01 23:55:30,057 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:55, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1444, loss: 0.1444 +2025-07-01 23:55:48,983 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-01 23:56:27,083 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-01 23:56:27,106 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9968 +2025-07-01 23:56:27,107 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9698, top5_acc: 0.9968 +2025-07-01 23:57:10,229 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:14:20, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1299, loss: 0.1299 +2025-07-01 23:57:28,705 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:14:01, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1653, loss: 0.1653 +2025-07-01 23:57:47,014 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1785, loss: 0.1785 +2025-07-01 23:58:05,263 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1354, loss: 0.1354 +2025-07-01 23:58:23,174 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:13:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1459, loss: 0.1459 +2025-07-01 23:58:41,176 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1887, loss: 0.1887 +2025-07-01 23:58:59,321 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9994, loss_cls: 0.2122, loss: 0.2122 +2025-07-01 23:59:17,489 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:12:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1653, loss: 0.1653 +2025-07-01 23:59:36,147 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 00:00:14,054 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:00:14,077 - pyskl - INFO - +top1_acc 0.9704 +top5_acc 0.9968 +2025-07-02 00:00:14,081 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_101.pth was removed +2025-07-02 00:00:14,249 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_103.pth. +2025-07-02 00:00:14,250 - pyskl - INFO - Best top1_acc is 0.9704 at 103 epoch. +2025-07-02 00:00:14,251 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9704, top5_acc: 0.9968 +2025-07-02 00:00:57,194 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:33, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1388, loss: 0.1388 +2025-07-02 00:01:15,398 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:11:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1424, loss: 0.1424 +2025-07-02 00:01:33,760 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1287, loss: 0.1287 +2025-07-02 00:01:51,906 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1540, loss: 0.1540 +2025-07-02 00:02:09,723 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:10:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1665, loss: 0.1665 +2025-07-02 00:02:27,738 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1388, loss: 0.1388 +2025-07-02 00:02:45,794 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1667, loss: 0.1667 +2025-07-02 00:03:04,104 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:09:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1414, loss: 0.1414 +2025-07-02 00:03:22,616 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 00:04:00,710 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:04:00,733 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9976 +2025-07-02 00:04:00,737 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_103.pth was removed +2025-07-02 00:04:00,908 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-02 00:04:00,908 - pyskl - INFO - Best top1_acc is 0.9722 at 104 epoch. +2025-07-02 00:04:00,910 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9722, top5_acc: 0.9976 +2025-07-02 00:04:44,529 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:45, time: 0.436, data_time: 0.249, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 00:05:03,151 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:27, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1483, loss: 0.1483 +2025-07-02 00:05:21,263 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:08:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1582, loss: 0.1582 +2025-07-02 00:05:39,528 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1633, loss: 0.1633 +2025-07-02 00:05:57,468 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1660, loss: 0.1660 +2025-07-02 00:06:15,723 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:07:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1310, loss: 0.1310 +2025-07-02 00:06:34,214 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:52, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1623, loss: 0.1623 +2025-07-02 00:06:52,367 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1599, loss: 0.1599 +2025-07-02 00:07:11,120 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 00:07:48,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:07:48,407 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9965 +2025-07-02 00:07:48,408 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9656, top5_acc: 0.9965 +2025-07-02 00:08:32,865 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:59, time: 0.445, data_time: 0.258, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1377, loss: 0.1377 +2025-07-02 00:08:51,338 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:40, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1424, loss: 0.1424 +2025-07-02 00:09:09,632 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:05:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 00:09:27,733 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:05:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 00:09:45,414 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1352, loss: 0.1352 +2025-07-02 00:10:03,481 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 00:10:21,535 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:04:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1811, loss: 0.1811 +2025-07-02 00:10:39,893 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1336, loss: 0.1336 +2025-07-02 00:10:58,434 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 00:11:35,754 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:11:35,778 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9964 +2025-07-02 00:11:35,779 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9702, top5_acc: 0.9964 +2025-07-02 00:12:19,389 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:03:11, time: 0.436, data_time: 0.251, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1477, loss: 0.1477 +2025-07-02 00:12:37,795 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1054, loss: 0.1054 +2025-07-02 00:12:56,451 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:34, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 00:13:14,679 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:02:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1120, loss: 0.1120 +2025-07-02 00:13:32,677 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1665, loss: 0.1665 +2025-07-02 00:13:50,732 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1781, loss: 0.1781 +2025-07-02 00:14:08,747 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:01:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1392, loss: 0.1392 +2025-07-02 00:14:26,881 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1484, loss: 0.1484 +2025-07-02 00:14:45,691 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 00:15:22,286 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:15:22,309 - pyskl - INFO - +top1_acc 0.9720 +top5_acc 0.9972 +2025-07-02 00:15:22,310 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9720, top5_acc: 0.9972 +2025-07-02 00:16:04,685 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:23, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.1090, loss: 0.1090 +2025-07-02 00:16:22,957 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 2:00:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1296, loss: 0.1296 +2025-07-02 00:16:41,501 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1295, loss: 0.1295 +2025-07-02 00:16:59,486 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1361, loss: 0.1361 +2025-07-02 00:17:17,256 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:59:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.1055, loss: 0.1055 +2025-07-02 00:17:35,224 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1365, loss: 0.1365 +2025-07-02 00:17:53,387 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1698, loss: 0.1698 +2025-07-02 00:18:11,741 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:58:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1818, loss: 0.1818 +2025-07-02 00:18:30,530 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 00:19:07,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:19:07,683 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9965 +2025-07-02 00:19:07,684 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9656, top5_acc: 0.9965 +2025-07-02 00:19:50,475 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:36, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1394, loss: 0.1394 +2025-07-02 00:20:08,625 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:57:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1230, loss: 0.1230 +2025-07-02 00:20:26,945 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1235, loss: 0.1235 +2025-07-02 00:20:45,195 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1410, loss: 0.1410 +2025-07-02 00:21:03,284 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:56:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1114, loss: 0.1114 +2025-07-02 00:21:21,373 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:56:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1287, loss: 0.1287 +2025-07-02 00:21:39,808 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1528, loss: 0.1528 +2025-07-02 00:21:57,858 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1113, loss: 0.1113 +2025-07-02 00:22:16,285 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 00:22:53,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:22:53,509 - pyskl - INFO - +top1_acc 0.9681 +top5_acc 0.9972 +2025-07-02 00:22:53,510 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9681, top5_acc: 0.9972 +2025-07-02 00:23:36,307 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:48, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1678, loss: 0.1678 +2025-07-02 00:23:54,847 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:29, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.0975, loss: 0.0975 +2025-07-02 00:24:13,306 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:54:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1262, loss: 0.1262 +2025-07-02 00:24:31,569 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1110, loss: 0.1110 +2025-07-02 00:24:49,658 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 00:25:07,968 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:53:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 00:25:26,184 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1357, loss: 0.1357 +2025-07-02 00:25:44,517 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1377, loss: 0.1377 +2025-07-02 00:26:02,857 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 00:26:39,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:26:39,654 - pyskl - INFO - +top1_acc 0.9667 +top5_acc 0.9971 +2025-07-02 00:26:39,655 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9667, top5_acc: 0.9971 +2025-07-02 00:27:22,290 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:52:00, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1189, loss: 0.1189 +2025-07-02 00:27:40,597 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1227, loss: 0.1227 +2025-07-02 00:27:58,669 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1071, loss: 0.1071 +2025-07-02 00:28:16,844 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:51:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1109, loss: 0.1109 +2025-07-02 00:28:35,010 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1233, loss: 0.1233 +2025-07-02 00:28:53,117 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1072, loss: 0.1072 +2025-07-02 00:29:11,049 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:50:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1225, loss: 0.1225 +2025-07-02 00:29:29,068 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1178, loss: 0.1178 +2025-07-02 00:29:47,290 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 00:30:23,604 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:30:23,627 - pyskl - INFO - +top1_acc 0.9736 +top5_acc 0.9969 +2025-07-02 00:30:23,631 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_104.pth was removed +2025-07-02 00:30:23,794 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 00:30:23,795 - pyskl - INFO - Best top1_acc is 0.9736 at 111 epoch. +2025-07-02 00:30:23,796 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9736, top5_acc: 0.9969 +2025-07-02 00:31:05,992 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:49:12, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0874, loss: 0.0874 +2025-07-02 00:31:24,071 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1075, loss: 0.1075 +2025-07-02 00:31:42,553 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:34, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 00:32:00,645 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:48:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1063, loss: 0.1063 +2025-07-02 00:32:18,579 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0930, loss: 0.0930 +2025-07-02 00:32:36,685 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1379, loss: 0.1379 +2025-07-02 00:32:54,875 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:47:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1368, loss: 0.1368 +2025-07-02 00:33:13,018 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1112, loss: 0.1112 +2025-07-02 00:33:31,248 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 00:34:08,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:34:08,435 - pyskl - INFO - +top1_acc 0.9720 +top5_acc 0.9972 +2025-07-02 00:34:08,436 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9720, top5_acc: 0.9972 +2025-07-02 00:34:51,196 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:24, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1181, loss: 0.1181 +2025-07-02 00:35:09,550 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:46:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.1173, loss: 0.1173 +2025-07-02 00:35:27,765 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 00:35:46,038 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0879, loss: 0.0879 +2025-07-02 00:36:04,418 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:45:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 00:36:22,567 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1241, loss: 0.1241 +2025-07-02 00:36:40,753 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 00:36:58,704 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:44:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1080, loss: 0.1080 +2025-07-02 00:37:17,325 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 00:37:54,405 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:37:54,427 - pyskl - INFO - +top1_acc 0.9733 +top5_acc 0.9969 +2025-07-02 00:37:54,428 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9733, top5_acc: 0.9969 +2025-07-02 00:38:37,324 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:36, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0889, loss: 0.0889 +2025-07-02 00:38:55,768 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:43:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1188, loss: 0.1188 +2025-07-02 00:39:14,010 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0980, loss: 0.0980 +2025-07-02 00:39:32,146 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 00:39:49,965 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 00:40:07,929 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:42:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 00:40:26,344 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1055, loss: 0.1055 +2025-07-02 00:40:44,412 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1329, loss: 0.1329 +2025-07-02 00:41:02,927 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 00:41:39,769 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:41:39,794 - pyskl - INFO - +top1_acc 0.9697 +top5_acc 0.9972 +2025-07-02 00:41:39,796 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9697, top5_acc: 0.9972 +2025-07-02 00:42:22,290 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:48, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1161, loss: 0.1161 +2025-07-02 00:42:40,678 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 00:42:58,794 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:40:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1215, loss: 0.1215 +2025-07-02 00:43:17,017 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0829, loss: 0.0829 +2025-07-02 00:43:34,975 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0905, loss: 0.0905 +2025-07-02 00:43:53,083 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:39:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0944, loss: 0.0944 +2025-07-02 00:44:11,445 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 00:44:29,637 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1042, loss: 0.1042 +2025-07-02 00:44:48,402 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 00:45:25,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:45:25,334 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9976 +2025-07-02 00:45:25,336 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9698, top5_acc: 0.9976 +2025-07-02 00:46:08,344 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:38:00, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0922, loss: 0.0922 +2025-07-02 00:46:26,883 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:41, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 00:46:45,125 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 00:47:03,432 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:37:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 00:47:21,325 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0921, loss: 0.0921 +2025-07-02 00:47:39,448 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0670, loss: 0.0670 +2025-07-02 00:47:57,529 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:36:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1142, loss: 0.1142 +2025-07-02 00:48:15,749 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 00:48:34,196 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 00:49:11,471 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:49:11,499 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9978 +2025-07-02 00:49:11,504 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_111.pth was removed +2025-07-02 00:49:11,696 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-07-02 00:49:11,697 - pyskl - INFO - Best top1_acc is 0.9752 at 116 epoch. +2025-07-02 00:49:11,698 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9752, top5_acc: 0.9978 +2025-07-02 00:49:55,372 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:35:12, time: 0.437, data_time: 0.244, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0914, loss: 0.0914 +2025-07-02 00:50:14,170 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:53, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 00:50:32,421 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0803, loss: 0.0803 +2025-07-02 00:50:50,509 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:34:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 00:51:08,344 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0939, loss: 0.0939 +2025-07-02 00:51:26,481 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0798, loss: 0.0798 +2025-07-02 00:51:45,029 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0904, loss: 0.0904 +2025-07-02 00:52:03,093 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1148, loss: 0.1148 +2025-07-02 00:52:21,988 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 00:52:58,994 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:52:59,034 - pyskl - INFO - +top1_acc 0.9759 +top5_acc 0.9974 +2025-07-02 00:52:59,041 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_116.pth was removed +2025-07-02 00:52:59,248 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2025-07-02 00:52:59,248 - pyskl - INFO - Best top1_acc is 0.9759 at 117 epoch. +2025-07-02 00:52:59,250 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9759, top5_acc: 0.9974 +2025-07-02 00:53:42,862 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:24, time: 0.436, data_time: 0.247, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 00:54:01,511 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:32:05, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0873, loss: 0.0873 +2025-07-02 00:54:20,070 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:46, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0840, loss: 0.0840 +2025-07-02 00:54:38,317 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 00:54:56,403 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:31:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 00:55:14,524 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 00:55:32,694 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0730, loss: 0.0730 +2025-07-02 00:55:50,460 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:30:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1018, loss: 0.1018 +2025-07-02 00:56:09,368 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 00:56:46,813 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 00:56:46,840 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9976 +2025-07-02 00:56:46,841 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9757, top5_acc: 0.9976 +2025-07-02 00:57:29,759 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:36, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 00:57:48,223 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:17, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0753, loss: 0.0753 +2025-07-02 00:58:06,562 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 00:58:24,650 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0733, loss: 0.0733 +2025-07-02 00:58:42,378 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 00:59:00,710 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:28:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 00:59:18,688 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 00:59:37,118 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0857, loss: 0.0857 +2025-07-02 00:59:55,370 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 01:00:32,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:00:32,720 - pyskl - INFO - +top1_acc 0.9755 +top5_acc 0.9972 +2025-07-02 01:00:32,722 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9755, top5_acc: 0.9972 +2025-07-02 01:01:16,521 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:48, time: 0.438, data_time: 0.247, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0911, loss: 0.0911 +2025-07-02 01:01:34,774 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 01:01:53,119 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:26:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0746, loss: 0.0746 +2025-07-02 01:02:11,301 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 01:02:29,228 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 01:02:47,662 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:25:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0815, loss: 0.0815 +2025-07-02 01:03:05,916 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 01:03:24,516 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:36, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 01:03:43,166 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 01:04:20,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:04:20,700 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9974 +2025-07-02 01:04:20,704 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_117.pth was removed +2025-07-02 01:04:20,876 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-07-02 01:04:20,876 - pyskl - INFO - Best top1_acc is 0.9790 at 120 epoch. +2025-07-02 01:04:20,878 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9790, top5_acc: 0.9974 +2025-07-02 01:05:05,531 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:24:00, time: 0.446, data_time: 0.258, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0700, loss: 0.0700 +2025-07-02 01:05:23,877 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0663, loss: 0.0663 +2025-07-02 01:05:42,149 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0860, loss: 0.0860 +2025-07-02 01:06:00,278 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:23:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 01:06:18,382 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 01:06:36,608 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.0988, loss: 0.0988 +2025-07-02 01:06:54,268 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:22:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 01:07:12,635 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 01:07:31,010 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 01:08:08,933 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:08:08,961 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9975 +2025-07-02 01:08:08,962 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9752, top5_acc: 0.9975 +2025-07-02 01:08:52,921 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:21:12, time: 0.440, data_time: 0.250, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 01:09:11,315 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0715, loss: 0.0715 +2025-07-02 01:09:29,688 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 01:09:47,688 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 01:10:05,728 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 01:10:23,868 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 01:10:41,949 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 01:11:00,058 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:19:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0546, loss: 0.0546 +2025-07-02 01:11:18,463 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 01:11:55,933 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:11:55,962 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9978 +2025-07-02 01:11:55,964 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9758, top5_acc: 0.9978 +2025-07-02 01:12:39,611 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:24, time: 0.436, data_time: 0.250, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0645, loss: 0.0645 +2025-07-02 01:12:57,991 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:18:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 01:13:16,492 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0791, loss: 0.0791 +2025-07-02 01:13:34,465 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0856, loss: 0.0856 +2025-07-02 01:13:52,716 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:17:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 01:14:10,513 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 01:14:28,900 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 01:14:46,866 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:16:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0958, loss: 0.0958 +2025-07-02 01:15:05,382 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 01:15:43,316 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:15:43,340 - pyskl - INFO - +top1_acc 0.9766 +top5_acc 0.9975 +2025-07-02 01:15:43,342 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9766, top5_acc: 0.9975 +2025-07-02 01:16:27,462 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:36, time: 0.441, data_time: 0.253, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0567, loss: 0.0567 +2025-07-02 01:16:45,737 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 01:17:03,959 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0709, loss: 0.0709 +2025-07-02 01:17:21,838 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 01:17:40,217 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0557, loss: 0.0557 +2025-07-02 01:17:57,976 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:14:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0636, loss: 0.0636 +2025-07-02 01:18:16,221 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0756, loss: 0.0756 +2025-07-02 01:18:34,130 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0620, loss: 0.0620 +2025-07-02 01:18:52,605 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 01:19:30,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:19:30,110 - pyskl - INFO - +top1_acc 0.9747 +top5_acc 0.9974 +2025-07-02 01:19:30,111 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9747, top5_acc: 0.9974 +2025-07-02 01:20:13,041 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:48, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 01:20:31,514 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:29, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 01:20:49,833 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:12:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 01:21:07,911 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0556, loss: 0.0556 +2025-07-02 01:21:26,206 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0569, loss: 0.0569 +2025-07-02 01:21:44,204 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:11:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 01:22:02,616 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0692, loss: 0.0692 +2025-07-02 01:22:20,694 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 01:22:39,434 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 01:23:17,206 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:23:17,238 - pyskl - INFO - +top1_acc 0.9751 +top5_acc 0.9974 +2025-07-02 01:23:17,240 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9751, top5_acc: 0.9974 +2025-07-02 01:24:02,152 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:10:00, time: 0.449, data_time: 0.258, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 01:24:20,889 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:41, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 01:24:39,434 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:22, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0570, loss: 0.0570 +2025-07-02 01:24:57,546 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:09:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 01:25:15,618 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:44, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 01:25:34,151 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:25, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 01:25:52,513 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:08:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 01:26:10,704 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 01:26:29,219 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 01:27:07,126 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:27:07,154 - pyskl - INFO - +top1_acc 0.9770 +top5_acc 0.9975 +2025-07-02 01:27:07,155 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9770, top5_acc: 0.9975 +2025-07-02 01:27:51,338 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:07:12, time: 0.442, data_time: 0.252, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 01:28:09,763 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 01:28:28,259 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:34, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0637, loss: 0.0637 +2025-07-02 01:28:46,208 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0759, loss: 0.0759 +2025-07-02 01:29:04,580 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 01:29:22,613 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0662, loss: 0.0662 +2025-07-02 01:29:40,831 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0550, loss: 0.0550 +2025-07-02 01:29:59,002 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 01:30:17,633 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 01:30:54,901 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:30:54,929 - pyskl - INFO - +top1_acc 0.9747 +top5_acc 0.9976 +2025-07-02 01:30:54,930 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9747, top5_acc: 0.9976 +2025-07-02 01:31:39,455 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:23, time: 0.445, data_time: 0.255, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 01:31:58,119 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:04:05, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 01:32:16,741 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:46, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 01:32:34,944 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0444, loss: 0.0444 +2025-07-02 01:32:53,627 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:03:08, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 01:33:12,094 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:49, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0571, loss: 0.0571 +2025-07-02 01:33:30,414 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0588, loss: 0.0588 +2025-07-02 01:33:48,456 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:02:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0506, loss: 0.0506 +2025-07-02 01:34:07,013 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 01:34:44,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:34:44,913 - pyskl - INFO - +top1_acc 0.9776 +top5_acc 0.9976 +2025-07-02 01:34:44,914 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9776, top5_acc: 0.9976 +2025-07-02 01:35:28,661 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:35, time: 0.437, data_time: 0.250, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0491, loss: 0.0491 +2025-07-02 01:35:46,873 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0686, loss: 0.0686 +2025-07-02 01:36:04,884 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 01:36:23,283 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 01:36:41,032 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 01:36:59,289 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 1:00:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0513, loss: 0.0513 +2025-07-02 01:37:16,953 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 01:37:35,149 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 01:37:53,248 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 01:38:30,019 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:38:30,042 - pyskl - INFO - +top1_acc 0.9770 +top5_acc 0.9971 +2025-07-02 01:38:30,043 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9770, top5_acc: 0.9971 +2025-07-02 01:39:13,902 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:47, time: 0.439, data_time: 0.252, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 01:39:32,123 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 01:39:50,176 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:58:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 01:40:08,317 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 01:40:26,520 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 01:40:44,868 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:57:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 01:41:02,632 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 01:41:20,355 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 01:41:38,903 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 01:42:16,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:42:16,456 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9976 +2025-07-02 01:42:16,457 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9761, top5_acc: 0.9976 +2025-07-02 01:43:00,104 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:58, time: 0.436, data_time: 0.250, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 01:43:18,548 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 01:43:36,758 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 01:43:55,042 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:55:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 01:44:12,939 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 01:44:31,317 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 01:44:49,425 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:54:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 01:45:07,406 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0516, loss: 0.0516 +2025-07-02 01:45:25,860 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 01:46:03,153 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:46:03,177 - pyskl - INFO - +top1_acc 0.9775 +top5_acc 0.9975 +2025-07-02 01:46:03,178 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9775, top5_acc: 0.9975 +2025-07-02 01:46:46,831 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:53:09, time: 0.436, data_time: 0.251, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0506, loss: 0.0506 +2025-07-02 01:47:05,080 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 01:47:23,371 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 01:47:41,444 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 01:47:59,671 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 01:48:17,894 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 01:48:35,821 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 01:48:53,833 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 01:49:12,494 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 01:49:50,283 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:49:50,308 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9975 +2025-07-02 01:49:50,309 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9790, top5_acc: 0.9975 +2025-07-02 01:50:34,224 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:21, time: 0.439, data_time: 0.251, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 01:50:52,168 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:50:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 01:51:10,154 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 01:51:28,187 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 01:51:46,235 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:49:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 01:52:04,533 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 01:52:22,374 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 01:52:40,516 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:48:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 01:52:59,073 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 01:53:36,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:53:36,819 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9975 +2025-07-02 01:53:36,823 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_120.pth was removed +2025-07-02 01:53:36,992 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 01:53:36,992 - pyskl - INFO - Best top1_acc is 0.9794 at 133 epoch. +2025-07-02 01:53:36,994 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9794, top5_acc: 0.9975 +2025-07-02 01:54:20,502 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:32, time: 0.435, data_time: 0.245, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 01:54:38,980 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:13, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 01:54:57,136 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 01:55:15,102 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 01:55:33,228 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 01:55:51,249 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 01:56:09,332 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 01:56:27,774 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 01:56:46,269 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 01:57:23,876 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 01:57:23,905 - pyskl - INFO - +top1_acc 0.9775 +top5_acc 0.9969 +2025-07-02 01:57:23,906 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9775, top5_acc: 0.9969 +2025-07-02 01:58:07,324 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:43, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 01:58:25,098 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 01:58:43,285 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:44:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 01:59:01,466 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 01:59:19,715 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 01:59:37,659 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:43:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 01:59:55,609 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 02:00:13,984 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 02:00:32,311 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 02:01:09,863 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:01:09,886 - pyskl - INFO - +top1_acc 0.9789 +top5_acc 0.9975 +2025-07-02 02:01:09,887 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9789, top5_acc: 0.9975 +2025-07-02 02:01:54,046 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:55, time: 0.442, data_time: 0.253, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 02:02:12,087 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 02:02:30,151 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 02:02:48,007 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 02:03:06,311 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 02:03:24,627 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 02:03:42,536 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:40:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 02:04:00,631 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 02:04:19,143 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 02:04:57,112 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:04:57,141 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9974 +2025-07-02 02:04:57,142 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9784, top5_acc: 0.9974 +2025-07-02 02:05:40,684 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:39:06, time: 0.435, data_time: 0.247, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 02:05:58,799 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 02:06:16,977 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 02:06:35,104 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:38:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 02:06:53,003 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 02:07:11,072 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 02:07:28,763 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:12, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 02:07:46,944 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 02:08:05,248 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 02:08:42,046 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:08:42,072 - pyskl - INFO - +top1_acc 0.9786 +top5_acc 0.9974 +2025-07-02 02:08:42,074 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9786, top5_acc: 0.9974 +2025-07-02 02:09:25,136 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:17, time: 0.431, data_time: 0.244, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 02:09:43,548 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 02:10:01,239 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 02:10:19,136 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 02:10:37,104 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:35:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 02:10:55,180 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 02:11:13,029 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 02:11:31,047 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:34:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 02:11:49,329 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 02:12:27,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:12:27,716 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9974 +2025-07-02 02:12:27,717 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9779, top5_acc: 0.9974 +2025-07-02 02:13:09,724 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:28, time: 0.420, data_time: 0.238, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0229, loss: 0.0229 +2025-07-02 02:13:28,197 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:09, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 02:13:46,447 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 02:14:04,793 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 02:14:23,029 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 02:14:40,931 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0364, loss: 0.0364 +2025-07-02 02:14:58,929 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 02:15:16,948 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 02:15:35,500 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 02:16:12,904 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:16:12,927 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9974 +2025-07-02 02:16:12,928 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9794, top5_acc: 0.9974 +2025-07-02 02:16:56,985 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:39, time: 0.441, data_time: 0.253, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 02:17:14,960 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 02:17:33,106 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:30:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 02:17:51,404 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 02:18:09,537 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 02:18:27,501 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:29:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 02:18:45,377 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 02:19:03,477 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 02:19:21,682 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 02:19:59,340 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:19:59,369 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9976 +2025-07-02 02:19:59,373 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_133.pth was removed +2025-07-02 02:19:59,551 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2025-07-02 02:19:59,552 - pyskl - INFO - Best top1_acc is 0.9795 at 140 epoch. +2025-07-02 02:19:59,553 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9795, top5_acc: 0.9976 +2025-07-02 02:20:42,941 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:50, time: 0.434, data_time: 0.244, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0269, loss: 0.0269 +2025-07-02 02:21:01,578 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:31, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 02:21:19,512 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 02:21:37,780 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 02:21:55,813 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 02:22:13,768 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 02:22:31,960 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 02:22:49,883 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:23:08,011 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 02:23:45,157 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:23:45,180 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9975 +2025-07-02 02:23:45,184 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_140.pth was removed +2025-07-02 02:23:45,351 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2025-07-02 02:23:45,352 - pyskl - INFO - Best top1_acc is 0.9801 at 141 epoch. +2025-07-02 02:23:45,353 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9801, top5_acc: 0.9975 +2025-07-02 02:24:29,447 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:25:01, time: 0.441, data_time: 0.252, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 02:24:47,769 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 02:25:05,712 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:25:23,754 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:24:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 02:25:41,562 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:25:59,599 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0285, loss: 0.0285 +2025-07-02 02:26:17,535 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 02:26:35,702 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 02:26:53,830 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 02:27:31,616 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:27:31,645 - pyskl - INFO - +top1_acc 0.9798 +top5_acc 0.9972 +2025-07-02 02:27:31,646 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9798, top5_acc: 0.9972 +2025-07-02 02:28:14,828 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:12, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 02:28:33,121 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 02:28:51,122 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 02:29:09,594 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:16, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0180, loss: 0.0180 +2025-07-02 02:29:27,751 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0171, loss: 0.0171 +2025-07-02 02:29:45,797 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 02:30:04,363 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:19, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 02:30:22,736 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:20:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 02:30:41,394 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 02:31:18,713 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:31:18,742 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9975 +2025-07-02 02:31:18,744 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9790, top5_acc: 0.9975 +2025-07-02 02:32:02,770 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:24, time: 0.440, data_time: 0.252, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0176, loss: 0.0176 +2025-07-02 02:32:20,921 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0320, loss: 0.0320 +2025-07-02 02:32:38,851 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 02:32:57,234 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 02:33:15,351 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 02:33:33,309 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 02:33:51,384 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 02:34:09,606 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 02:34:27,970 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 02:35:05,994 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:35:06,035 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9975 +2025-07-02 02:35:06,037 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9793, top5_acc: 0.9975 +2025-07-02 02:35:51,320 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:35, time: 0.453, data_time: 0.264, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 02:36:09,175 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 02:36:27,506 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 02:36:45,831 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0421, loss: 0.0421 +2025-07-02 02:37:03,823 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 02:37:21,860 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:15:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 02:37:40,241 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 02:37:58,475 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 02:38:16,679 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 02:38:54,510 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:38:54,538 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9976 +2025-07-02 02:38:54,540 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9794, top5_acc: 0.9976 +2025-07-02 02:39:37,781 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:46, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0197, loss: 0.0197 +2025-07-02 02:39:55,866 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0191, loss: 0.0191 +2025-07-02 02:40:14,157 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 02:40:32,478 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 02:40:50,488 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0177, loss: 0.0177 +2025-07-02 02:41:08,385 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0309, loss: 0.0309 +2025-07-02 02:41:26,541 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 0.0199, loss: 0.0199 +2025-07-02 02:41:44,637 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 02:42:03,094 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 02:42:41,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:42:41,038 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9975 +2025-07-02 02:42:41,039 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9793, top5_acc: 0.9975 +2025-07-02 02:43:24,356 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:57, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 02:43:42,396 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 02:44:00,981 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:19, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 02:44:19,326 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:10:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 02:44:37,370 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 02:44:55,763 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 02:45:13,821 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 02:45:31,725 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0152, loss: 0.0152 +2025-07-02 02:45:50,092 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 02:46:28,537 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:46:28,560 - pyskl - INFO - +top1_acc 0.9798 +top5_acc 0.9976 +2025-07-02 02:46:28,561 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9798, top5_acc: 0.9976 +2025-07-02 02:47:11,447 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:08, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 02:47:29,535 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0192, loss: 0.0192 +2025-07-02 02:47:48,024 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:30, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0206, loss: 0.0206 +2025-07-02 02:48:06,076 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0173, loss: 0.0173 +2025-07-02 02:48:24,184 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 02:48:41,951 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 02:48:59,730 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 02:49:17,903 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 02:49:36,098 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 02:50:12,528 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:50:12,551 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9976 +2025-07-02 02:50:12,552 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9794, top5_acc: 0.9976 +2025-07-02 02:50:55,196 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:19, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0243, loss: 0.0243 +2025-07-02 02:51:13,152 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:05:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 02:51:30,932 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 02:51:48,950 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0211, loss: 0.0211 +2025-07-02 02:52:06,757 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 02:52:24,460 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0287, loss: 0.0287 +2025-07-02 02:52:42,328 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 02:52:59,797 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0205, loss: 0.0205 +2025-07-02 02:53:17,972 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 02:53:54,239 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:53:54,268 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9975 +2025-07-02 02:53:54,269 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9801, top5_acc: 0.9975 +2025-07-02 02:54:35,532 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:30, time: 0.413, data_time: 0.233, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 02:54:53,502 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 02:55:11,327 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 02:55:29,157 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0161, loss: 0.0161 +2025-07-02 02:55:46,539 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 02:56:04,232 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 02:56:21,575 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 02:56:38,867 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.173, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 02:56:56,623 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 02:57:31,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 02:57:31,998 - pyskl - INFO - +top1_acc 0.9800 +top5_acc 0.9976 +2025-07-02 02:57:31,999 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9800, top5_acc: 0.9976 +2025-07-02 02:57:39,431 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 03:01:09,256 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 03:01:09,256 - pyskl - INFO - top1_acc: 0.9811 +2025-07-02 03:01:09,256 - pyskl - INFO - top5_acc: 0.9978 +2025-07-02 03:01:09,257 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/j_3/best_top1_acc_epoch_141.pth +2025-07-02 03:04:35,141 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 03:04:35,141 - pyskl - INFO - top1_acc: 0.9809 +2025-07-02 03:04:35,141 - pyskl - INFO - top5_acc: 0.9976 diff --git a/pku_mmd_xview/j_3/20250701_173438.log.json b/pku_mmd_xview/j_3/20250701_173438.log.json new file mode 100644 index 0000000000000000000000000000000000000000..666d327387bb6cc71cef43dc7e1930c8db5f7749 --- /dev/null +++ b/pku_mmd_xview/j_3/20250701_173438.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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"top5_acc": 0.99763} diff --git a/pku_mmd_xview/j_3/best_pred.pkl b/pku_mmd_xview/j_3/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..3ece09ba873d9e7780154c8c475bf8ae056ef396 --- /dev/null +++ b/pku_mmd_xview/j_3/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d949cf8f481d4e6c9dbdfa0b0eed954c3f1c17e5f9d56fbb18d0ae981a3b7d1b +size 2537618 diff --git a/pku_mmd_xview/j_3/best_top1_acc_epoch_141.pth b/pku_mmd_xview/j_3/best_top1_acc_epoch_141.pth new file mode 100644 index 0000000000000000000000000000000000000000..b5fb1cc7d174f03693702a3b6f8fc23d571663dd --- /dev/null +++ b/pku_mmd_xview/j_3/best_top1_acc_epoch_141.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5204c2827dc03a627ebeb1f79f99fa6d0a8e110005bfb1c7757f3cbba109cfed +size 32917105 diff --git a/pku_mmd_xview/j_3/j_3.py b/pku_mmd_xview/j_3/j_3.py new file mode 100644 index 0000000000000000000000000000000000000000..7bcba88f153fd56f67cc407214232f434c855328 --- /dev/null +++ b/pku_mmd_xview/j_3/j_3.py @@ -0,0 +1,98 @@ +modality = 'j' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/j_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['j']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/jm/20250702_041458.log b/pku_mmd_xview/jm/20250702_041458.log new file mode 100644 index 0000000000000000000000000000000000000000..5bacaf6bcccde9fa9903b87c20d470228ec3ac06 --- /dev/null +++ b/pku_mmd_xview/jm/20250702_041458.log @@ -0,0 +1,2395 @@ +2025-07-02 04:14:58,254 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 04:14:58,560 - pyskl - INFO - Config: modality = 'jm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/jm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 04:14:58,560 - pyskl - INFO - Set random seed to 1987253269, deterministic: False +2025-07-02 04:15:02,998 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-02 04:15:10,038 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 04:15:10,039 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm +2025-07-02 04:15:10,040 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 04:15:10,040 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 04:15:10,040 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm by HardDiskBackend. +2025-07-02 04:15:50,710 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:12:17, time: 0.407, data_time: 0.229, memory: 2902, top1_acc: 0.0731, top5_acc: 0.2338, loss_cls: 4.2320, loss: 4.2320 +2025-07-02 04:16:08,130 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:51:02, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.0844, top5_acc: 0.3106, loss_cls: 4.0847, loss: 4.0847 +2025-07-02 04:16:25,531 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:23:37, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1106, top5_acc: 0.3756, loss_cls: 3.8705, loss: 3.8705 +2025-07-02 04:16:43,239 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:41:29, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.1381, top5_acc: 0.4406, loss_cls: 3.6622, loss: 3.6622 +2025-07-02 04:17:00,631 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:14:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1800, top5_acc: 0.5288, loss_cls: 3.4344, loss: 3.4344 +2025-07-02 04:17:17,899 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:56:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.2344, top5_acc: 0.6225, loss_cls: 3.1787, loss: 3.1787 +2025-07-02 04:17:35,370 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:43:38, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.2612, top5_acc: 0.6450, loss_cls: 3.0387, loss: 3.0387 +2025-07-02 04:17:53,125 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:34:54, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.2644, top5_acc: 0.6587, loss_cls: 3.0617, loss: 3.0617 +2025-07-02 04:18:10,949 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 04:18:47,906 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:18:47,927 - pyskl - INFO - +top1_acc 0.2887 +top5_acc 0.7192 +2025-07-02 04:18:48,092 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 04:18:48,093 - pyskl - INFO - Best top1_acc is 0.2887 at 1 epoch. +2025-07-02 04:18:48,094 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.2887, top5_acc: 0.7192 +2025-07-02 04:19:29,503 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:36:34, time: 0.414, data_time: 0.237, memory: 2902, top1_acc: 0.3250, top5_acc: 0.7325, loss_cls: 2.7695, loss: 2.7695 +2025-07-02 04:19:47,173 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:30:30, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.3500, top5_acc: 0.7494, loss_cls: 2.6733, loss: 2.6733 +2025-07-02 04:20:05,091 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:25:52, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.3844, top5_acc: 0.7825, loss_cls: 2.5643, loss: 2.5643 +2025-07-02 04:20:22,568 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:21:08, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.4225, top5_acc: 0.8194, loss_cls: 2.3957, loss: 2.3957 +2025-07-02 04:20:40,401 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:17:37, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.4306, top5_acc: 0.8163, loss_cls: 2.3365, loss: 2.3365 +2025-07-02 04:20:58,311 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:14:38, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.4425, top5_acc: 0.8456, loss_cls: 2.2633, loss: 2.2633 +2025-07-02 04:21:16,152 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:11:54, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.4781, top5_acc: 0.8456, loss_cls: 2.2043, loss: 2.2043 +2025-07-02 04:21:33,758 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:09:08, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5088, top5_acc: 0.8662, loss_cls: 2.1070, loss: 2.1070 +2025-07-02 04:21:51,939 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 04:22:29,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:22:29,149 - pyskl - INFO - +top1_acc 0.5566 +top5_acc 0.9218 +2025-07-02 04:22:29,153 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_1.pth was removed +2025-07-02 04:22:29,350 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 04:22:29,350 - pyskl - INFO - Best top1_acc is 0.5566 at 2 epoch. +2025-07-02 04:22:29,352 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.5566, top5_acc: 0.9218 +2025-07-02 04:23:10,296 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:11:33, time: 0.409, data_time: 0.233, memory: 2902, top1_acc: 0.5269, top5_acc: 0.8900, loss_cls: 1.9625, loss: 1.9625 +2025-07-02 04:23:27,611 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:08:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.5319, top5_acc: 0.8838, loss_cls: 1.9652, loss: 1.9652 +2025-07-02 04:23:45,501 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:06:54, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.5600, top5_acc: 0.8975, loss_cls: 1.8934, loss: 1.8934 +2025-07-02 04:24:03,121 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:04:52, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5631, top5_acc: 0.8994, loss_cls: 1.8985, loss: 1.8985 +2025-07-02 04:24:21,098 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:03:20, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.5775, top5_acc: 0.9094, loss_cls: 1.8124, loss: 1.8124 +2025-07-02 04:24:39,190 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 7:02:00, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.5725, top5_acc: 0.9006, loss_cls: 1.8323, loss: 1.8323 +2025-07-02 04:24:57,128 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 7:00:38, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.6006, top5_acc: 0.9169, loss_cls: 1.7247, loss: 1.7247 +2025-07-02 04:25:14,730 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:59:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6088, top5_acc: 0.9300, loss_cls: 1.6620, loss: 1.6620 +2025-07-02 04:25:32,586 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 04:26:09,712 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:26:09,740 - pyskl - INFO - +top1_acc 0.3563 +top5_acc 0.7831 +2025-07-02 04:26:09,741 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.3563, top5_acc: 0.7831 +2025-07-02 04:26:51,651 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 7:01:44, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.6350, top5_acc: 0.9150, loss_cls: 1.6676, loss: 1.6676 +2025-07-02 04:27:08,994 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 7:00:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6175, top5_acc: 0.9187, loss_cls: 1.6718, loss: 1.6718 +2025-07-02 04:27:26,726 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:58:41, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6475, top5_acc: 0.9331, loss_cls: 1.5677, loss: 1.5677 +2025-07-02 04:27:44,094 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:57:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6512, top5_acc: 0.9231, loss_cls: 1.6007, loss: 1.6007 +2025-07-02 04:28:01,343 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:55:37, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6663, top5_acc: 0.9513, loss_cls: 1.4682, loss: 1.4682 +2025-07-02 04:28:19,098 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:54:30, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.6831, top5_acc: 0.9337, loss_cls: 1.4974, loss: 1.4974 +2025-07-02 04:28:36,738 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:53:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6637, top5_acc: 0.9281, loss_cls: 1.5093, loss: 1.5093 +2025-07-02 04:28:54,392 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:52:16, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6613, top5_acc: 0.9356, loss_cls: 1.4992, loss: 1.4992 +2025-07-02 04:29:12,302 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 04:29:50,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:29:50,609 - pyskl - INFO - +top1_acc 0.6804 +top5_acc 0.9452 +2025-07-02 04:29:50,613 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_2.pth was removed +2025-07-02 04:29:50,787 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 04:29:50,787 - pyskl - INFO - Best top1_acc is 0.6804 at 4 epoch. +2025-07-02 04:29:50,789 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.6804, top5_acc: 0.9452 +2025-07-02 04:30:33,506 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:54:50, time: 0.427, data_time: 0.250, memory: 2902, top1_acc: 0.6775, top5_acc: 0.9487, loss_cls: 1.4377, loss: 1.4377 +2025-07-02 04:30:51,100 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:53:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7006, top5_acc: 0.9494, loss_cls: 1.4050, loss: 1.4050 +2025-07-02 04:31:08,631 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:52:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7119, top5_acc: 0.9613, loss_cls: 1.3099, loss: 1.3099 +2025-07-02 04:31:25,897 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:51:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6850, top5_acc: 0.9406, loss_cls: 1.4100, loss: 1.4100 +2025-07-02 04:31:43,239 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:50:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7050, top5_acc: 0.9469, loss_cls: 1.3413, loss: 1.3413 +2025-07-02 04:32:00,558 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:49:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6931, top5_acc: 0.9400, loss_cls: 1.3994, loss: 1.3994 +2025-07-02 04:32:18,019 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:48:08, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7200, top5_acc: 0.9481, loss_cls: 1.3496, loss: 1.3496 +2025-07-02 04:32:35,803 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:47:19, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7163, top5_acc: 0.9525, loss_cls: 1.2890, loss: 1.2890 +2025-07-02 04:32:53,830 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 04:33:30,487 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:33:30,525 - pyskl - INFO - +top1_acc 0.6782 +top5_acc 0.9452 +2025-07-02 04:33:30,526 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.6782, top5_acc: 0.9452 +2025-07-02 04:34:12,722 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:49:05, time: 0.422, data_time: 0.249, memory: 2902, top1_acc: 0.7269, top5_acc: 0.9537, loss_cls: 1.2677, loss: 1.2677 +2025-07-02 04:34:30,173 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:48:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7081, top5_acc: 0.9475, loss_cls: 1.3095, loss: 1.3095 +2025-07-02 04:34:47,506 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:47:08, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7388, top5_acc: 0.9581, loss_cls: 1.2391, loss: 1.2391 +2025-07-02 04:35:04,486 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:46:00, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7394, top5_acc: 0.9581, loss_cls: 1.2295, loss: 1.2295 +2025-07-02 04:35:21,572 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:44:58, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7525, top5_acc: 0.9556, loss_cls: 1.1677, loss: 1.1677 +2025-07-02 04:35:39,000 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:44:06, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7569, top5_acc: 0.9650, loss_cls: 1.1869, loss: 1.1869 +2025-07-02 04:35:56,403 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:43:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7425, top5_acc: 0.9531, loss_cls: 1.2097, loss: 1.2097 +2025-07-02 04:36:14,163 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:42:33, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7381, top5_acc: 0.9531, loss_cls: 1.2661, loss: 1.2661 +2025-07-02 04:36:32,042 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 04:37:09,386 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:37:09,414 - pyskl - INFO - +top1_acc 0.8037 +top5_acc 0.9766 +2025-07-02 04:37:09,419 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_4.pth was removed +2025-07-02 04:37:09,613 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 04:37:09,613 - pyskl - INFO - Best top1_acc is 0.8037 at 6 epoch. +2025-07-02 04:37:09,615 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8037, top5_acc: 0.9766 +2025-07-02 04:37:51,129 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:43:44, time: 0.415, data_time: 0.238, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9688, loss_cls: 1.1032, loss: 1.1032 +2025-07-02 04:38:08,583 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:42:55, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7494, top5_acc: 0.9650, loss_cls: 1.1575, loss: 1.1575 +2025-07-02 04:38:25,813 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:42:02, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9644, loss_cls: 1.1059, loss: 1.1059 +2025-07-02 04:38:43,024 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:41:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7450, top5_acc: 0.9563, loss_cls: 1.2028, loss: 1.2028 +2025-07-02 04:39:00,463 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:40:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7594, top5_acc: 0.9650, loss_cls: 1.1395, loss: 1.1395 +2025-07-02 04:39:18,009 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:39:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7619, top5_acc: 0.9575, loss_cls: 1.1643, loss: 1.1643 +2025-07-02 04:39:35,497 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:39:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7856, top5_acc: 0.9575, loss_cls: 1.1215, loss: 1.1215 +2025-07-02 04:39:53,044 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:38:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7556, top5_acc: 0.9613, loss_cls: 1.1403, loss: 1.1403 +2025-07-02 04:40:10,934 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 04:40:48,685 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:40:48,712 - pyskl - INFO - +top1_acc 0.7213 +top5_acc 0.9474 +2025-07-02 04:40:48,713 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.7213, top5_acc: 0.9474 +2025-07-02 04:41:29,901 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:39:10, time: 0.412, data_time: 0.237, memory: 2902, top1_acc: 0.7712, top5_acc: 0.9625, loss_cls: 1.1203, loss: 1.1203 +2025-07-02 04:41:47,435 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:38:29, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9644, loss_cls: 1.0757, loss: 1.0757 +2025-07-02 04:42:04,600 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:37:41, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9700, loss_cls: 1.0277, loss: 1.0277 +2025-07-02 04:42:22,496 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:37:08, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.7581, top5_acc: 0.9600, loss_cls: 1.1305, loss: 1.1305 +2025-07-02 04:42:39,816 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:36:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7612, top5_acc: 0.9644, loss_cls: 1.1460, loss: 1.1460 +2025-07-02 04:42:56,984 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:35:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9619, loss_cls: 1.0860, loss: 1.0860 +2025-07-02 04:43:14,581 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:35:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9681, loss_cls: 1.0103, loss: 1.0103 +2025-07-02 04:43:32,334 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:34:31, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7631, top5_acc: 0.9556, loss_cls: 1.1017, loss: 1.1017 +2025-07-02 04:43:49,866 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 04:44:27,280 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:44:27,310 - pyskl - INFO - +top1_acc 0.8208 +top5_acc 0.9840 +2025-07-02 04:44:27,319 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_6.pth was removed +2025-07-02 04:44:27,512 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 04:44:27,513 - pyskl - INFO - Best top1_acc is 0.8208 at 8 epoch. +2025-07-02 04:44:27,515 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8208, top5_acc: 0.9840 +2025-07-02 04:45:09,621 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:35:28, time: 0.421, data_time: 0.246, memory: 2902, top1_acc: 0.7650, top5_acc: 0.9644, loss_cls: 1.0980, loss: 1.0980 +2025-07-02 04:45:26,971 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:34:47, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9663, loss_cls: 0.9847, loss: 0.9847 +2025-07-02 04:45:44,332 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:34:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9656, loss_cls: 1.0324, loss: 1.0324 +2025-07-02 04:46:01,639 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:33:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9688, loss_cls: 1.0291, loss: 1.0291 +2025-07-02 04:46:19,111 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:32:51, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9669, loss_cls: 0.9901, loss: 0.9901 +2025-07-02 04:46:36,315 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:32:10, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7788, top5_acc: 0.9706, loss_cls: 1.0157, loss: 1.0157 +2025-07-02 04:46:53,634 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:31:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9738, loss_cls: 0.9790, loss: 0.9790 +2025-07-02 04:47:11,274 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:30:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7725, top5_acc: 0.9663, loss_cls: 1.0755, loss: 1.0755 +2025-07-02 04:47:29,284 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 04:48:06,351 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:48:06,378 - pyskl - INFO - +top1_acc 0.7966 +top5_acc 0.9800 +2025-07-02 04:48:06,380 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.7966, top5_acc: 0.9800 +2025-07-02 04:48:47,446 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:31:31, time: 0.411, data_time: 0.238, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9606, loss_cls: 1.0664, loss: 1.0664 +2025-07-02 04:49:04,825 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:30:54, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9631, loss_cls: 1.0102, loss: 1.0102 +2025-07-02 04:49:22,403 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:30:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7863, top5_acc: 0.9762, loss_cls: 0.9945, loss: 0.9945 +2025-07-02 04:49:39,750 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:29:44, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7894, top5_acc: 0.9719, loss_cls: 0.9988, loss: 0.9988 +2025-07-02 04:49:57,239 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:29:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8019, top5_acc: 0.9669, loss_cls: 0.9870, loss: 0.9870 +2025-07-02 04:50:14,499 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:28:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9669, loss_cls: 0.9657, loss: 0.9657 +2025-07-02 04:50:32,211 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:28:04, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9762, loss_cls: 0.9314, loss: 0.9314 +2025-07-02 04:50:49,747 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:27:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7812, top5_acc: 0.9650, loss_cls: 1.0804, loss: 1.0804 +2025-07-02 04:51:07,924 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 04:51:45,148 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:51:45,174 - pyskl - INFO - +top1_acc 0.7244 +top5_acc 0.9435 +2025-07-02 04:51:45,175 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.7244, top5_acc: 0.9435 +2025-07-02 04:52:26,508 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:28:01, time: 0.413, data_time: 0.242, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9794, loss_cls: 0.9815, loss: 0.9815 +2025-07-02 04:52:43,672 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:27:24, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8050, top5_acc: 0.9744, loss_cls: 0.9393, loss: 0.9393 +2025-07-02 04:53:01,216 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:26:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8031, top5_acc: 0.9762, loss_cls: 0.9507, loss: 0.9507 +2025-07-02 04:53:18,697 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:26:20, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9756, loss_cls: 0.8986, loss: 0.8986 +2025-07-02 04:53:36,276 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:25:49, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9731, loss_cls: 0.9064, loss: 0.9064 +2025-07-02 04:53:53,708 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:25:17, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9756, loss_cls: 0.9218, loss: 0.9218 +2025-07-02 04:54:11,019 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:24:43, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9625, loss_cls: 1.0110, loss: 1.0110 +2025-07-02 04:54:28,712 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:24:15, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9688, loss_cls: 0.9574, loss: 0.9574 +2025-07-02 04:54:46,673 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 04:55:26,520 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:55:26,550 - pyskl - INFO - +top1_acc 0.8482 +top5_acc 0.9865 +2025-07-02 04:55:26,555 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_8.pth was removed +2025-07-02 04:55:26,751 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 04:55:26,751 - pyskl - INFO - Best top1_acc is 0.8482 at 11 epoch. +2025-07-02 04:55:26,753 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8482, top5_acc: 0.9865 +2025-07-02 04:56:09,043 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:24:50, time: 0.423, data_time: 0.247, memory: 2902, top1_acc: 0.8106, top5_acc: 0.9806, loss_cls: 0.9313, loss: 0.9313 +2025-07-02 04:56:26,865 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:24:23, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9731, loss_cls: 0.9420, loss: 0.9420 +2025-07-02 04:56:44,134 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:23:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9731, loss_cls: 0.9303, loss: 0.9303 +2025-07-02 04:57:01,799 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:23:21, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8094, top5_acc: 0.9694, loss_cls: 0.9598, loss: 0.9598 +2025-07-02 04:57:19,715 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:22:56, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9712, loss_cls: 0.9094, loss: 0.9094 +2025-07-02 04:57:37,077 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:22:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9794, loss_cls: 0.8959, loss: 0.8959 +2025-07-02 04:57:55,002 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:21:59, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9738, loss_cls: 0.9245, loss: 0.9245 +2025-07-02 04:58:12,550 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:21:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9731, loss_cls: 0.9054, loss: 0.9054 +2025-07-02 04:58:30,665 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 04:59:08,014 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:59:08,048 - pyskl - INFO - +top1_acc 0.8575 +top5_acc 0.9830 +2025-07-02 04:59:08,052 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_11.pth was removed +2025-07-02 04:59:08,254 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_12.pth. +2025-07-02 04:59:08,254 - pyskl - INFO - Best top1_acc is 0.8575 at 12 epoch. +2025-07-02 04:59:08,256 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8575, top5_acc: 0.9830 +2025-07-02 04:59:49,800 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:21:50, time: 0.415, data_time: 0.241, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9800, loss_cls: 0.8739, loss: 0.8739 +2025-07-02 05:00:07,520 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:21:23, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9744, loss_cls: 0.9225, loss: 0.9225 +2025-07-02 05:00:24,619 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:20:49, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9794, loss_cls: 0.8846, loss: 0.8846 +2025-07-02 05:00:41,979 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:20:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 0.9185, loss: 0.9185 +2025-07-02 05:00:59,548 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:19:49, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9831, loss_cls: 0.8822, loss: 0.8822 +2025-07-02 05:01:16,628 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:19:16, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8106, top5_acc: 0.9669, loss_cls: 0.9279, loss: 0.9279 +2025-07-02 05:01:34,054 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:18:46, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9825, loss_cls: 0.8528, loss: 0.8528 +2025-07-02 05:01:51,494 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:18:17, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8131, top5_acc: 0.9775, loss_cls: 0.9146, loss: 0.9146 +2025-07-02 05:02:09,367 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 05:02:48,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:02:48,556 - pyskl - INFO - +top1_acc 0.7781 +top5_acc 0.9626 +2025-07-02 05:02:48,557 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.7781, top5_acc: 0.9626 +2025-07-02 05:03:29,782 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:18:30, time: 0.412, data_time: 0.242, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9750, loss_cls: 0.9324, loss: 0.9324 +2025-07-02 05:03:47,040 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:17:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9806, loss_cls: 0.8267, loss: 0.8267 +2025-07-02 05:04:04,448 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:17:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9838, loss_cls: 0.8206, loss: 0.8206 +2025-07-02 05:04:21,933 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:17:01, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9744, loss_cls: 0.9112, loss: 0.9112 +2025-07-02 05:04:39,528 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:16:34, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9794, loss_cls: 0.8723, loss: 0.8723 +2025-07-02 05:04:56,823 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:16:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9738, loss_cls: 0.8945, loss: 0.8945 +2025-07-02 05:05:14,569 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:15:39, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 0.8749, loss: 0.8749 +2025-07-02 05:05:31,933 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:15:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 0.9017, loss: 0.9017 +2025-07-02 05:05:50,649 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 05:06:28,335 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:06:28,358 - pyskl - INFO - +top1_acc 0.8400 +top5_acc 0.9798 +2025-07-02 05:06:28,359 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8400, top5_acc: 0.9798 +2025-07-02 05:07:10,430 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:15:28, time: 0.421, data_time: 0.243, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9769, loss_cls: 0.8593, loss: 0.8593 +2025-07-02 05:07:27,935 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:15:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9812, loss_cls: 0.7866, loss: 0.7866 +2025-07-02 05:07:45,372 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:14:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9812, loss_cls: 0.8243, loss: 0.8243 +2025-07-02 05:08:02,988 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:14:06, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9812, loss_cls: 0.7887, loss: 0.7887 +2025-07-02 05:08:20,429 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:13:38, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9744, loss_cls: 0.8676, loss: 0.8676 +2025-07-02 05:08:38,265 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:13:14, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 0.9329, loss: 0.9329 +2025-07-02 05:08:55,744 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:12:47, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8244, top5_acc: 0.9819, loss_cls: 0.8397, loss: 0.8397 +2025-07-02 05:09:13,068 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:12:19, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9712, loss_cls: 0.9221, loss: 0.9221 +2025-07-02 05:09:31,035 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 05:10:08,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:10:08,209 - pyskl - INFO - +top1_acc 0.8751 +top5_acc 0.9880 +2025-07-02 05:10:08,216 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_12.pth was removed +2025-07-02 05:10:08,389 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-02 05:10:08,389 - pyskl - INFO - Best top1_acc is 0.8751 at 15 epoch. +2025-07-02 05:10:08,391 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8751, top5_acc: 0.9880 +2025-07-02 05:10:49,910 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:12:27, time: 0.415, data_time: 0.239, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9775, loss_cls: 0.8477, loss: 0.8477 +2025-07-02 05:11:07,343 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:12:00, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9806, loss_cls: 0.8422, loss: 0.8422 +2025-07-02 05:11:24,890 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:11:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9731, loss_cls: 0.8364, loss: 0.8364 +2025-07-02 05:11:41,991 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:11:04, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9794, loss_cls: 0.8340, loss: 0.8340 +2025-07-02 05:11:59,525 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:10:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9800, loss_cls: 0.8420, loss: 0.8420 +2025-07-02 05:12:16,818 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:10:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9806, loss_cls: 0.8314, loss: 0.8314 +2025-07-02 05:12:34,759 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:09:47, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9812, loss_cls: 0.8407, loss: 0.8407 +2025-07-02 05:12:52,109 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:09:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9838, loss_cls: 0.8287, loss: 0.8287 +2025-07-02 05:13:10,363 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 05:13:48,147 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:13:48,175 - pyskl - INFO - +top1_acc 0.8428 +top5_acc 0.9808 +2025-07-02 05:13:48,176 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8428, top5_acc: 0.9808 +2025-07-02 05:14:29,863 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:09:27, time: 0.417, data_time: 0.244, memory: 2902, top1_acc: 0.8269, top5_acc: 0.9794, loss_cls: 0.8501, loss: 0.8501 +2025-07-02 05:14:47,196 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:08:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9875, loss_cls: 0.7329, loss: 0.7329 +2025-07-02 05:15:04,527 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:08:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9825, loss_cls: 0.8132, loss: 0.8132 +2025-07-02 05:15:21,851 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:08:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 0.8375, loss: 0.8375 +2025-07-02 05:15:39,117 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:07:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9762, loss_cls: 0.8202, loss: 0.8202 +2025-07-02 05:15:56,378 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:07:09, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9731, loss_cls: 0.8372, loss: 0.8372 +2025-07-02 05:16:13,941 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:06:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9775, loss_cls: 0.8283, loss: 0.8283 +2025-07-02 05:16:31,346 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:06:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 0.8227, loss: 0.8227 +2025-07-02 05:16:49,141 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 05:17:27,046 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:17:27,078 - pyskl - INFO - +top1_acc 0.8617 +top5_acc 0.9829 +2025-07-02 05:17:27,081 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8617, top5_acc: 0.9829 +2025-07-02 05:18:10,013 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:06:32, time: 0.429, data_time: 0.250, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 0.7603, loss: 0.7603 +2025-07-02 05:18:27,388 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:06:06, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9788, loss_cls: 0.8430, loss: 0.8430 +2025-07-02 05:18:44,657 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:05:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9788, loss_cls: 0.8320, loss: 0.8320 +2025-07-02 05:19:01,794 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:05:10, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9806, loss_cls: 0.8491, loss: 0.8491 +2025-07-02 05:19:19,202 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:04:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9731, loss_cls: 0.8681, loss: 0.8681 +2025-07-02 05:19:36,729 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:04:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9831, loss_cls: 0.8230, loss: 0.8230 +2025-07-02 05:19:54,197 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:03:54, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9775, loss_cls: 0.8058, loss: 0.8058 +2025-07-02 05:20:11,473 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:03:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9769, loss_cls: 0.7711, loss: 0.7711 +2025-07-02 05:20:29,286 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 05:21:06,510 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:21:06,539 - pyskl - INFO - +top1_acc 0.8833 +top5_acc 0.9891 +2025-07-02 05:21:06,544 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_15.pth was removed +2025-07-02 05:21:06,741 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 05:21:06,742 - pyskl - INFO - Best top1_acc is 0.8833 at 18 epoch. +2025-07-02 05:21:06,744 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8833, top5_acc: 0.9891 +2025-07-02 05:21:48,627 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:03:31, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9850, loss_cls: 0.7772, loss: 0.7772 +2025-07-02 05:22:06,088 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:03:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9838, loss_cls: 0.8080, loss: 0.8080 +2025-07-02 05:22:23,854 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:02:43, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 0.7429, loss: 0.7429 +2025-07-02 05:22:41,402 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:02:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9706, loss_cls: 0.8271, loss: 0.8271 +2025-07-02 05:22:58,805 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:01:53, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9781, loss_cls: 0.8428, loss: 0.8428 +2025-07-02 05:23:16,418 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:01:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9781, loss_cls: 0.8096, loss: 0.8096 +2025-07-02 05:23:34,360 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 6:01:07, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9806, loss_cls: 0.8414, loss: 0.8414 +2025-07-02 05:23:51,997 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 6:00:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9738, loss_cls: 0.8437, loss: 0.8437 +2025-07-02 05:24:10,197 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 05:24:47,629 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:24:47,657 - pyskl - INFO - +top1_acc 0.7518 +top5_acc 0.9596 +2025-07-02 05:24:47,659 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.7518, top5_acc: 0.9596 +2025-07-02 05:25:28,605 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 6:00:38, time: 0.409, data_time: 0.234, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9812, loss_cls: 0.7559, loss: 0.7559 +2025-07-02 05:25:45,956 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 6:00:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9819, loss_cls: 0.8048, loss: 0.8048 +2025-07-02 05:26:03,484 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:59:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9862, loss_cls: 0.7244, loss: 0.7244 +2025-07-02 05:26:21,140 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:59:25, time: 0.177, data_time: 0.001, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9794, loss_cls: 0.7685, loss: 0.7685 +2025-07-02 05:26:38,616 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:59:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9775, loss_cls: 0.7861, loss: 0.7861 +2025-07-02 05:26:55,965 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:58:35, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 0.8328, loss: 0.8328 +2025-07-02 05:27:13,287 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:58:10, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9750, loss_cls: 0.8373, loss: 0.8373 +2025-07-02 05:27:30,697 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:57:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9781, loss_cls: 0.7789, loss: 0.7789 +2025-07-02 05:27:48,584 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 05:28:26,206 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:28:26,240 - pyskl - INFO - +top1_acc 0.8354 +top5_acc 0.9864 +2025-07-02 05:28:26,241 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.8354, top5_acc: 0.9864 +2025-07-02 05:29:07,275 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:57:39, time: 0.410, data_time: 0.237, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 0.7867, loss: 0.7867 +2025-07-02 05:29:24,737 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:57:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9744, loss_cls: 0.7791, loss: 0.7791 +2025-07-02 05:29:42,054 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:56:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 0.7791, loss: 0.7791 +2025-07-02 05:29:59,343 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:56:24, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9850, loss_cls: 0.7253, loss: 0.7253 +2025-07-02 05:30:16,910 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:56:00, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9812, loss_cls: 0.8168, loss: 0.8168 +2025-07-02 05:30:34,341 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:55:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9744, loss_cls: 0.7952, loss: 0.7952 +2025-07-02 05:30:51,803 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:55:12, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9838, loss_cls: 0.8164, loss: 0.8164 +2025-07-02 05:31:09,297 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:54:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9819, loss_cls: 0.8148, loss: 0.8148 +2025-07-02 05:31:27,182 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 05:32:04,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:32:04,622 - pyskl - INFO - +top1_acc 0.8639 +top5_acc 0.9890 +2025-07-02 05:32:04,623 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8639, top5_acc: 0.9890 +2025-07-02 05:32:46,304 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:54:44, time: 0.417, data_time: 0.244, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9856, loss_cls: 0.7736, loss: 0.7736 +2025-07-02 05:33:03,980 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:54:21, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9806, loss_cls: 0.7496, loss: 0.7496 +2025-07-02 05:33:21,388 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:53:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9844, loss_cls: 0.7595, loss: 0.7595 +2025-07-02 05:33:38,806 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:53:33, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 0.7738, loss: 0.7738 +2025-07-02 05:33:56,060 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:53:08, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9762, loss_cls: 0.7803, loss: 0.7803 +2025-07-02 05:34:13,278 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:52:43, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9825, loss_cls: 0.7541, loss: 0.7541 +2025-07-02 05:34:30,665 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:52:19, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9850, loss_cls: 0.7896, loss: 0.7896 +2025-07-02 05:34:47,912 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:51:54, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9756, loss_cls: 0.8178, loss: 0.8178 +2025-07-02 05:35:05,984 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 05:35:43,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:35:43,162 - pyskl - INFO - +top1_acc 0.8311 +top5_acc 0.9825 +2025-07-02 05:35:43,163 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8311, top5_acc: 0.9825 +2025-07-02 05:36:25,053 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:51:49, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9800, loss_cls: 0.7991, loss: 0.7991 +2025-07-02 05:36:42,519 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:51:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 0.7896, loss: 0.7896 +2025-07-02 05:36:59,796 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:51:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 0.7308, loss: 0.7308 +2025-07-02 05:37:17,519 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:50:39, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9788, loss_cls: 0.6711, loss: 0.6711 +2025-07-02 05:37:35,014 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:50:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 0.7355, loss: 0.7355 +2025-07-02 05:37:52,574 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:49:53, time: 0.176, data_time: 0.001, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 0.8077, loss: 0.8077 +2025-07-02 05:38:10,130 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:49:30, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 0.7903, loss: 0.7903 +2025-07-02 05:38:27,454 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:49:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9775, loss_cls: 0.7350, loss: 0.7350 +2025-07-02 05:38:45,366 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 05:39:23,202 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:39:23,226 - pyskl - INFO - +top1_acc 0.8298 +top5_acc 0.9843 +2025-07-02 05:39:23,228 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.8298, top5_acc: 0.9843 +2025-07-02 05:40:04,881 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:48:59, time: 0.416, data_time: 0.243, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9906, loss_cls: 0.7030, loss: 0.7030 +2025-07-02 05:40:22,344 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:48:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9831, loss_cls: 0.7203, loss: 0.7203 +2025-07-02 05:40:39,604 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:48:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9862, loss_cls: 0.7361, loss: 0.7361 +2025-07-02 05:40:57,197 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:47:48, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9844, loss_cls: 0.7189, loss: 0.7189 +2025-07-02 05:41:14,387 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:47:24, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9781, loss_cls: 0.8189, loss: 0.8189 +2025-07-02 05:41:31,784 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:47:00, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9781, loss_cls: 0.7720, loss: 0.7720 +2025-07-02 05:41:49,234 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:46:37, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9838, loss_cls: 0.7615, loss: 0.7615 +2025-07-02 05:42:06,438 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:46:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9781, loss_cls: 0.8316, loss: 0.8316 +2025-07-02 05:42:24,097 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 05:43:01,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:43:01,254 - pyskl - INFO - +top1_acc 0.8917 +top5_acc 0.9905 +2025-07-02 05:43:01,258 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_18.pth was removed +2025-07-02 05:43:01,424 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 05:43:01,425 - pyskl - INFO - Best top1_acc is 0.8917 at 24 epoch. +2025-07-02 05:43:01,426 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.8917, top5_acc: 0.9905 +2025-07-02 05:43:43,496 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:46:06, time: 0.421, data_time: 0.247, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9831, loss_cls: 0.7539, loss: 0.7539 +2025-07-02 05:44:00,653 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:45:42, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9750, loss_cls: 0.7669, loss: 0.7669 +2025-07-02 05:44:18,309 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:45:20, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9856, loss_cls: 0.7040, loss: 0.7040 +2025-07-02 05:44:35,806 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:44:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9819, loss_cls: 0.7641, loss: 0.7641 +2025-07-02 05:44:53,388 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:44:35, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 0.6678, loss: 0.6678 +2025-07-02 05:45:10,808 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:44:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9838, loss_cls: 0.7418, loss: 0.7418 +2025-07-02 05:45:28,594 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:43:50, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9812, loss_cls: 0.7428, loss: 0.7428 +2025-07-02 05:45:45,943 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:43:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 0.7587, loss: 0.7587 +2025-07-02 05:46:04,075 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 05:46:41,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:46:41,606 - pyskl - INFO - +top1_acc 0.8937 +top5_acc 0.9876 +2025-07-02 05:46:41,610 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_24.pth was removed +2025-07-02 05:46:41,807 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-02 05:46:41,808 - pyskl - INFO - Best top1_acc is 0.8937 at 25 epoch. +2025-07-02 05:46:41,810 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8937, top5_acc: 0.9876 +2025-07-02 05:47:23,427 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:43:17, time: 0.416, data_time: 0.244, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9850, loss_cls: 0.7139, loss: 0.7139 +2025-07-02 05:47:41,326 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:42:56, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 0.6934, loss: 0.6934 +2025-07-02 05:47:58,958 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:42:34, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 0.7240, loss: 0.7240 +2025-07-02 05:48:16,885 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:42:14, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9794, loss_cls: 0.7833, loss: 0.7833 +2025-07-02 05:48:33,963 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:41:49, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 0.7968, loss: 0.7968 +2025-07-02 05:48:51,526 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:41:27, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9775, loss_cls: 0.8032, loss: 0.8032 +2025-07-02 05:49:08,807 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:41:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 0.7635, loss: 0.7635 +2025-07-02 05:49:26,298 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:40:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9856, loss_cls: 0.7289, loss: 0.7289 +2025-07-02 05:49:44,330 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 05:50:22,235 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:50:22,264 - pyskl - INFO - +top1_acc 0.8849 +top5_acc 0.9901 +2025-07-02 05:50:22,265 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.8849, top5_acc: 0.9901 +2025-07-02 05:51:04,514 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:40:33, time: 0.422, data_time: 0.245, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9775, loss_cls: 0.7755, loss: 0.7755 +2025-07-02 05:51:21,900 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:40:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9825, loss_cls: 0.7219, loss: 0.7219 +2025-07-02 05:51:39,119 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:39:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 0.6586, loss: 0.6586 +2025-07-02 05:51:56,915 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:39:25, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9794, loss_cls: 0.7181, loss: 0.7181 +2025-07-02 05:52:14,172 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:39:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9800, loss_cls: 0.7055, loss: 0.7055 +2025-07-02 05:52:31,752 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:38:40, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9831, loss_cls: 0.7072, loss: 0.7072 +2025-07-02 05:52:49,051 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:38:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9812, loss_cls: 0.6885, loss: 0.6885 +2025-07-02 05:53:06,569 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:37:54, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9744, loss_cls: 0.7812, loss: 0.7812 +2025-07-02 05:53:24,351 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 05:54:01,927 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:54:01,965 - pyskl - INFO - +top1_acc 0.8862 +top5_acc 0.9904 +2025-07-02 05:54:01,967 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.8862, top5_acc: 0.9904 +2025-07-02 05:54:43,438 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:37:41, time: 0.415, data_time: 0.242, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6966, loss: 0.6966 +2025-07-02 05:55:00,732 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:37:18, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9812, loss_cls: 0.6775, loss: 0.6775 +2025-07-02 05:55:18,221 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:36:56, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 0.6931, loss: 0.6931 +2025-07-02 05:55:35,758 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:36:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7453, loss: 0.7453 +2025-07-02 05:55:53,118 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:36:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9850, loss_cls: 0.6856, loss: 0.6856 +2025-07-02 05:56:10,879 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:35:50, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9831, loss_cls: 0.6705, loss: 0.6705 +2025-07-02 05:56:28,192 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:35:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9781, loss_cls: 0.7612, loss: 0.7612 +2025-07-02 05:56:45,707 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:35:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9850, loss_cls: 0.7384, loss: 0.7384 +2025-07-02 05:57:04,004 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 05:57:41,421 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:57:41,453 - pyskl - INFO - +top1_acc 0.8860 +top5_acc 0.9873 +2025-07-02 05:57:41,454 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8860, top5_acc: 0.9873 +2025-07-02 05:58:23,021 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:34:52, time: 0.416, data_time: 0.243, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 0.7282, loss: 0.7282 +2025-07-02 05:58:40,369 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:34:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6941, loss: 0.6941 +2025-07-02 05:58:57,799 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:34:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9869, loss_cls: 0.7015, loss: 0.7015 +2025-07-02 05:59:15,421 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:33:46, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9900, loss_cls: 0.6647, loss: 0.6647 +2025-07-02 05:59:33,039 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:33:24, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9838, loss_cls: 0.7138, loss: 0.7138 +2025-07-02 05:59:50,789 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:33:03, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9825, loss_cls: 0.7661, loss: 0.7661 +2025-07-02 06:00:08,493 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:32:42, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9812, loss_cls: 0.7439, loss: 0.7439 +2025-07-02 06:00:26,201 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:32:21, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7200, loss: 0.7200 +2025-07-02 06:00:44,066 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 06:01:21,708 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:01:21,730 - pyskl - INFO - +top1_acc 0.9048 +top5_acc 0.9885 +2025-07-02 06:01:21,734 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_25.pth was removed +2025-07-02 06:01:21,910 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-07-02 06:01:21,910 - pyskl - INFO - Best top1_acc is 0.9048 at 29 epoch. +2025-07-02 06:01:21,912 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9048, top5_acc: 0.9885 +2025-07-02 06:02:04,504 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:32:11, time: 0.426, data_time: 0.243, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6419, loss: 0.6419 +2025-07-02 06:02:22,732 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:31:52, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6478, loss: 0.6478 +2025-07-02 06:02:40,790 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:31:32, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9888, loss_cls: 0.7016, loss: 0.7016 +2025-07-02 06:02:59,100 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:31:14, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 0.6738, loss: 0.6738 +2025-07-02 06:03:17,227 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:30:55, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6987, loss: 0.6987 +2025-07-02 06:03:35,707 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:30:37, time: 0.185, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 0.6790, loss: 0.6790 +2025-07-02 06:03:53,841 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:30:17, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9825, loss_cls: 0.6727, loss: 0.6727 +2025-07-02 06:04:12,146 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:29:59, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9819, loss_cls: 0.7556, loss: 0.7556 +2025-07-02 06:04:30,927 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 06:05:08,698 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:05:08,726 - pyskl - INFO - +top1_acc 0.8347 +top5_acc 0.9719 +2025-07-02 06:05:08,728 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.8347, top5_acc: 0.9719 +2025-07-02 06:05:51,764 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:29:49, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.8356, top5_acc: 0.9719, loss_cls: 0.8867, loss: 0.8867 +2025-07-02 06:06:09,583 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:29:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9844, loss_cls: 0.6986, loss: 0.6986 +2025-07-02 06:06:27,414 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:29:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9862, loss_cls: 0.7209, loss: 0.7209 +2025-07-02 06:06:45,858 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:28:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8538, top5_acc: 0.9781, loss_cls: 0.7898, loss: 0.7898 +2025-07-02 06:07:04,065 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:28:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9838, loss_cls: 0.7762, loss: 0.7762 +2025-07-02 06:07:22,207 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:28:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8462, top5_acc: 0.9825, loss_cls: 0.7790, loss: 0.7790 +2025-07-02 06:07:40,133 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:27:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 0.7931, loss: 0.7931 +2025-07-02 06:07:58,533 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:27:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 0.7531, loss: 0.7531 +2025-07-02 06:08:16,698 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 06:08:54,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:08:54,304 - pyskl - INFO - +top1_acc 0.8855 +top5_acc 0.9917 +2025-07-02 06:08:54,304 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8855, top5_acc: 0.9917 +2025-07-02 06:09:37,726 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:27:24, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.8569, top5_acc: 0.9881, loss_cls: 0.7275, loss: 0.7275 +2025-07-02 06:09:55,465 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:27:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9869, loss_cls: 0.7018, loss: 0.7018 +2025-07-02 06:10:13,329 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:26:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.7088, loss: 0.7088 +2025-07-02 06:10:31,524 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:26:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.7343, loss: 0.7343 +2025-07-02 06:10:49,660 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:26:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9881, loss_cls: 0.6847, loss: 0.6847 +2025-07-02 06:11:07,724 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:25:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 0.6975, loss: 0.6975 +2025-07-02 06:11:25,542 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:25:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9856, loss_cls: 0.7199, loss: 0.7199 +2025-07-02 06:11:43,552 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:25:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9819, loss_cls: 0.7265, loss: 0.7265 +2025-07-02 06:12:02,422 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 06:12:39,196 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:12:39,219 - pyskl - INFO - +top1_acc 0.8963 +top5_acc 0.9890 +2025-07-02 06:12:39,220 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.8963, top5_acc: 0.9890 +2025-07-02 06:13:22,029 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:24:51, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9862, loss_cls: 0.6859, loss: 0.6859 +2025-07-02 06:13:39,974 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:24:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8444, top5_acc: 0.9850, loss_cls: 0.7889, loss: 0.7889 +2025-07-02 06:13:57,822 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:24:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 0.7109, loss: 0.7109 +2025-07-02 06:14:16,068 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:23:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9775, loss_cls: 0.7049, loss: 0.7049 +2025-07-02 06:14:34,435 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:23:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8625, top5_acc: 0.9850, loss_cls: 0.7402, loss: 0.7402 +2025-07-02 06:14:52,702 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:23:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9806, loss_cls: 0.7057, loss: 0.7057 +2025-07-02 06:15:10,566 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:22:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8550, top5_acc: 0.9788, loss_cls: 0.7626, loss: 0.7626 +2025-07-02 06:15:28,585 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:22:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 0.7081, loss: 0.7081 +2025-07-02 06:15:47,099 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 06:16:24,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:16:24,568 - pyskl - INFO - +top1_acc 0.7640 +top5_acc 0.9453 +2025-07-02 06:16:24,570 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.7640, top5_acc: 0.9453 +2025-07-02 06:17:07,288 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:22:19, time: 0.427, data_time: 0.247, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 0.7105, loss: 0.7105 +2025-07-02 06:17:25,148 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:21:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9838, loss_cls: 0.6909, loss: 0.6909 +2025-07-02 06:17:43,016 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:21:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.6398, loss: 0.6398 +2025-07-02 06:18:01,284 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:21:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 0.6950, loss: 0.6950 +2025-07-02 06:18:19,163 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:20:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9894, loss_cls: 0.6378, loss: 0.6378 +2025-07-02 06:18:37,438 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:20:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8550, top5_acc: 0.9844, loss_cls: 0.7766, loss: 0.7766 +2025-07-02 06:18:55,004 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:20:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.7457, loss: 0.7457 +2025-07-02 06:19:13,341 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:20:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9806, loss_cls: 0.7486, loss: 0.7486 +2025-07-02 06:19:31,633 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 06:20:08,970 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:20:08,994 - pyskl - INFO - +top1_acc 0.8883 +top5_acc 0.9900 +2025-07-02 06:20:08,995 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.8883, top5_acc: 0.9900 +2025-07-02 06:20:51,428 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:19:44, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 0.7648, loss: 0.7648 +2025-07-02 06:21:09,481 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:19:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.6561, loss: 0.6561 +2025-07-02 06:21:27,364 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:19:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 0.7019, loss: 0.7019 +2025-07-02 06:21:45,363 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:18:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9831, loss_cls: 0.6749, loss: 0.6749 +2025-07-02 06:22:03,075 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:18:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 0.7006, loss: 0.7006 +2025-07-02 06:22:21,569 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:18:05, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9862, loss_cls: 0.7024, loss: 0.7024 +2025-07-02 06:22:39,494 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:17:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8638, top5_acc: 0.9875, loss_cls: 0.6856, loss: 0.6856 +2025-07-02 06:22:57,565 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:17:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9856, loss_cls: 0.6860, loss: 0.6860 +2025-07-02 06:23:16,151 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 06:23:53,036 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:23:53,059 - pyskl - INFO - +top1_acc 0.8784 +top5_acc 0.9830 +2025-07-02 06:23:53,061 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.8784, top5_acc: 0.9830 +2025-07-02 06:24:35,777 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:17:09, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 0.8029, loss: 0.8029 +2025-07-02 06:24:53,801 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:16:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9856, loss_cls: 0.6921, loss: 0.6921 +2025-07-02 06:25:11,774 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:16:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9875, loss_cls: 0.6772, loss: 0.6772 +2025-07-02 06:25:30,255 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:16:11, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 0.7203, loss: 0.7203 +2025-07-02 06:25:48,573 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:15:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 06:26:07,199 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:15:35, time: 0.186, data_time: 0.001, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 0.7161, loss: 0.7161 +2025-07-02 06:26:25,094 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:15:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9850, loss_cls: 0.7188, loss: 0.7188 +2025-07-02 06:26:43,236 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:14:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9844, loss_cls: 0.6934, loss: 0.6934 +2025-07-02 06:27:02,026 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 06:27:39,176 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:27:39,210 - pyskl - INFO - +top1_acc 0.8852 +top5_acc 0.9893 +2025-07-02 06:27:39,212 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.8852, top5_acc: 0.9893 +2025-07-02 06:28:23,260 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:14:42, time: 0.440, data_time: 0.255, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 0.6996, loss: 0.6996 +2025-07-02 06:28:41,726 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:14:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 0.6701, loss: 0.6701 +2025-07-02 06:28:59,760 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:14:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9875, loss_cls: 0.5853, loss: 0.5853 +2025-07-02 06:29:17,780 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:13:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9850, loss_cls: 0.6954, loss: 0.6954 +2025-07-02 06:29:35,871 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:13:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9900, loss_cls: 0.6284, loss: 0.6284 +2025-07-02 06:29:54,121 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:13:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9838, loss_cls: 0.7014, loss: 0.7014 +2025-07-02 06:30:12,243 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:12:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.6342, loss: 0.6342 +2025-07-02 06:30:30,444 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:12:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 0.7046, loss: 0.7046 +2025-07-02 06:30:49,445 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 06:31:26,369 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:31:26,397 - pyskl - INFO - +top1_acc 0.8603 +top5_acc 0.9850 +2025-07-02 06:31:26,398 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.8603, top5_acc: 0.9850 +2025-07-02 06:32:09,677 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:12:11, time: 0.433, data_time: 0.246, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 0.7084, loss: 0.7084 +2025-07-02 06:32:27,770 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:11:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9800, loss_cls: 0.7221, loss: 0.7221 +2025-07-02 06:32:45,658 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:11:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.6054, loss: 0.6054 +2025-07-02 06:33:03,855 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:11:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9900, loss_cls: 0.6576, loss: 0.6576 +2025-07-02 06:33:21,688 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:10:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9881, loss_cls: 0.6457, loss: 0.6457 +2025-07-02 06:33:39,976 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:10:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6842, loss: 0.6842 +2025-07-02 06:33:57,984 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:10:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.6327, loss: 0.6327 +2025-07-02 06:34:16,585 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:09:54, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9900, loss_cls: 0.6688, loss: 0.6688 +2025-07-02 06:34:35,243 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 06:35:13,620 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:35:13,643 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9898 +2025-07-02 06:35:13,644 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.8913, top5_acc: 0.9898 +2025-07-02 06:35:56,180 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:09:35, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9881, loss_cls: 0.6911, loss: 0.6911 +2025-07-02 06:36:14,220 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:09:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9888, loss_cls: 0.6422, loss: 0.6422 +2025-07-02 06:36:32,594 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:08:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 0.6215, loss: 0.6215 +2025-07-02 06:36:50,545 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:08:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9862, loss_cls: 0.6842, loss: 0.6842 +2025-07-02 06:37:08,616 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:08:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6749, loss: 0.6749 +2025-07-02 06:37:27,104 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:07:58, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9881, loss_cls: 0.6137, loss: 0.6137 +2025-07-02 06:37:44,719 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:07:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9825, loss_cls: 0.7136, loss: 0.7136 +2025-07-02 06:38:02,719 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:07:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9881, loss_cls: 0.7059, loss: 0.7059 +2025-07-02 06:38:21,297 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 06:38:58,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:38:58,512 - pyskl - INFO - +top1_acc 0.8870 +top5_acc 0.9896 +2025-07-02 06:38:58,513 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.8870, top5_acc: 0.9896 +2025-07-02 06:39:40,788 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:06:57, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 0.7058, loss: 0.7058 +2025-07-02 06:39:58,457 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:06:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9900, loss_cls: 0.6207, loss: 0.6207 +2025-07-02 06:40:16,592 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:06:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 0.6462, loss: 0.6462 +2025-07-02 06:40:34,895 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:05:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 0.6703, loss: 0.6703 +2025-07-02 06:40:52,962 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:05:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6838, loss: 0.6838 +2025-07-02 06:41:11,179 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:05:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9906, loss_cls: 0.6500, loss: 0.6500 +2025-07-02 06:41:29,192 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:04:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9819, loss_cls: 0.6832, loss: 0.6832 +2025-07-02 06:41:47,507 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:04:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.6398, loss: 0.6398 +2025-07-02 06:42:06,301 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 06:42:44,010 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:42:44,033 - pyskl - INFO - +top1_acc 0.8968 +top5_acc 0.9904 +2025-07-02 06:42:44,035 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.8968, top5_acc: 0.9904 +2025-07-02 06:43:26,113 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:04:18, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9838, loss_cls: 0.7059, loss: 0.7059 +2025-07-02 06:43:44,353 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:03:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9881, loss_cls: 0.6883, loss: 0.6883 +2025-07-02 06:44:02,716 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:03:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9862, loss_cls: 0.7142, loss: 0.7142 +2025-07-02 06:44:20,911 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:03:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9856, loss_cls: 0.6306, loss: 0.6306 +2025-07-02 06:44:39,072 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:03:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9888, loss_cls: 0.6571, loss: 0.6571 +2025-07-02 06:44:57,147 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:02:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9925, loss_cls: 0.6262, loss: 0.6262 +2025-07-02 06:45:15,480 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:02:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9850, loss_cls: 0.6962, loss: 0.6962 +2025-07-02 06:45:32,989 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:02:02, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 0.6536, loss: 0.6536 +2025-07-02 06:45:51,415 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 06:46:28,255 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:46:28,284 - pyskl - INFO - +top1_acc 0.9101 +top5_acc 0.9885 +2025-07-02 06:46:28,290 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_29.pth was removed +2025-07-02 06:46:28,514 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_41.pth. +2025-07-02 06:46:28,514 - pyskl - INFO - Best top1_acc is 0.9101 at 41 epoch. +2025-07-02 06:46:28,517 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9101, top5_acc: 0.9885 +2025-07-02 06:47:11,282 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:01:41, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6836, loss: 0.6836 +2025-07-02 06:47:29,314 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:01:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9881, loss_cls: 0.6520, loss: 0.6520 +2025-07-02 06:47:47,385 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:01:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.6136, loss: 0.6136 +2025-07-02 06:48:04,979 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 5:00:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9881, loss_cls: 0.6508, loss: 0.6508 +2025-07-02 06:48:23,285 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 5:00:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9894, loss_cls: 0.6395, loss: 0.6395 +2025-07-02 06:48:41,528 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 5:00:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6422, loss: 0.6422 +2025-07-02 06:48:59,771 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:59:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9912, loss_cls: 0.6089, loss: 0.6089 +2025-07-02 06:49:18,096 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:59:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.6084, loss: 0.6084 +2025-07-02 06:49:36,764 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 06:50:13,982 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:50:14,006 - pyskl - INFO - +top1_acc 0.8493 +top5_acc 0.9836 +2025-07-02 06:50:14,007 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.8493, top5_acc: 0.9836 +2025-07-02 06:50:56,531 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:59:03, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 0.6260, loss: 0.6260 +2025-07-02 06:51:13,979 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:58:42, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.6269, loss: 0.6269 +2025-07-02 06:51:31,903 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:58:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.6178, loss: 0.6178 +2025-07-02 06:51:49,806 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:58:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.6248, loss: 0.6248 +2025-07-02 06:52:08,047 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:57:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.6316, loss: 0.6316 +2025-07-02 06:52:26,240 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:57:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9844, loss_cls: 0.6055, loss: 0.6055 +2025-07-02 06:52:44,508 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:57:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 0.6426, loss: 0.6426 +2025-07-02 06:53:02,774 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:56:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 0.6551, loss: 0.6551 +2025-07-02 06:53:21,395 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 06:53:58,929 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:53:58,952 - pyskl - INFO - +top1_acc 0.8819 +top5_acc 0.9904 +2025-07-02 06:53:58,952 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.8819, top5_acc: 0.9904 +2025-07-02 06:54:41,808 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:56:23, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.6148, loss: 0.6148 +2025-07-02 06:54:59,841 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:56:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.5420, loss: 0.5420 +2025-07-02 06:55:17,663 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:55:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 0.5598, loss: 0.5598 +2025-07-02 06:55:35,442 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:55:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9856, loss_cls: 0.6320, loss: 0.6320 +2025-07-02 06:55:53,723 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:55:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9894, loss_cls: 0.6167, loss: 0.6167 +2025-07-02 06:56:11,634 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:54:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9875, loss_cls: 0.6483, loss: 0.6483 +2025-07-02 06:56:30,248 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:54:26, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.6274, loss: 0.6274 +2025-07-02 06:56:48,521 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:54:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5606, loss: 0.5606 +2025-07-02 06:57:07,030 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 06:57:44,747 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:57:44,775 - pyskl - INFO - +top1_acc 0.8809 +top5_acc 0.9855 +2025-07-02 06:57:44,776 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.8809, top5_acc: 0.9855 +2025-07-02 06:58:27,637 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:53:45, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.6056, loss: 0.6056 +2025-07-02 06:58:45,973 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:53:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.6135, loss: 0.6135 +2025-07-02 06:59:03,934 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:53:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9869, loss_cls: 0.6110, loss: 0.6110 +2025-07-02 06:59:22,080 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:52:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6314, loss: 0.6314 +2025-07-02 06:59:40,267 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:52:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.6143, loss: 0.6143 +2025-07-02 06:59:57,867 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:52:06, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.6145, loss: 0.6145 +2025-07-02 07:00:15,955 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:51:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 0.6442, loss: 0.6442 +2025-07-02 07:00:34,064 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:51:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8619, top5_acc: 0.9856, loss_cls: 0.6867, loss: 0.6867 +2025-07-02 07:00:52,722 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 07:01:29,566 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:01:29,589 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9919 +2025-07-02 07:01:29,590 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9050, top5_acc: 0.9919 +2025-07-02 07:02:12,656 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:51:05, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5526, loss: 0.5526 +2025-07-02 07:02:30,528 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:50:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5756, loss: 0.5756 +2025-07-02 07:02:48,940 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:50:26, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.6024, loss: 0.6024 +2025-07-02 07:03:07,389 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:50:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9850, loss_cls: 0.6403, loss: 0.6403 +2025-07-02 07:03:25,739 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:49:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9869, loss_cls: 0.5946, loss: 0.5946 +2025-07-02 07:03:43,400 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:49:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9875, loss_cls: 0.6206, loss: 0.6206 +2025-07-02 07:04:01,576 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:49:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9931, loss_cls: 0.6077, loss: 0.6077 +2025-07-02 07:04:19,197 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:48:48, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9888, loss_cls: 0.6488, loss: 0.6488 +2025-07-02 07:04:38,449 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 07:05:15,855 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:05:15,883 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9932 +2025-07-02 07:05:15,888 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_41.pth was removed +2025-07-02 07:05:16,083 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-07-02 07:05:16,083 - pyskl - INFO - Best top1_acc is 0.9274 at 46 epoch. +2025-07-02 07:05:16,085 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9274, top5_acc: 0.9932 +2025-07-02 07:05:59,112 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:48:26, time: 0.430, data_time: 0.242, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9925, loss_cls: 0.5722, loss: 0.5722 +2025-07-02 07:06:17,180 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:48:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5816, loss: 0.5816 +2025-07-02 07:06:35,263 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:47:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.5635, loss: 0.5635 +2025-07-02 07:06:53,180 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:47:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 0.6332, loss: 0.6332 +2025-07-02 07:07:11,569 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:47:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9825, loss_cls: 0.6757, loss: 0.6757 +2025-07-02 07:07:29,671 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:46:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6360, loss: 0.6360 +2025-07-02 07:07:48,029 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:46:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9881, loss_cls: 0.6128, loss: 0.6128 +2025-07-02 07:08:06,418 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:46:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9900, loss_cls: 0.6190, loss: 0.6190 +2025-07-02 07:08:24,597 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 07:09:01,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:09:01,661 - pyskl - INFO - +top1_acc 0.9219 +top5_acc 0.9922 +2025-07-02 07:09:01,662 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9219, top5_acc: 0.9922 +2025-07-02 07:09:44,537 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:45:47, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9925, loss_cls: 0.5861, loss: 0.5861 +2025-07-02 07:10:02,651 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:45:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 07:10:20,604 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:45:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9931, loss_cls: 0.5316, loss: 0.5316 +2025-07-02 07:10:38,327 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:44:47, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5830, loss: 0.5830 +2025-07-02 07:10:56,423 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:44:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6438, loss: 0.6438 +2025-07-02 07:11:14,225 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:44:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5733, loss: 0.5733 +2025-07-02 07:11:32,426 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:43:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5656, loss: 0.5656 +2025-07-02 07:11:50,356 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:43:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 0.5824, loss: 0.5824 +2025-07-02 07:12:08,849 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 07:12:46,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:12:46,319 - pyskl - INFO - +top1_acc 0.8570 +top5_acc 0.9876 +2025-07-02 07:12:46,320 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.8570, top5_acc: 0.9876 +2025-07-02 07:13:28,844 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:43:04, time: 0.425, data_time: 0.238, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9906, loss_cls: 0.6463, loss: 0.6463 +2025-07-02 07:13:47,160 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:42:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5951, loss: 0.5951 +2025-07-02 07:14:05,450 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:42:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9862, loss_cls: 0.5956, loss: 0.5956 +2025-07-02 07:14:23,544 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:42:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9888, loss_cls: 0.5725, loss: 0.5725 +2025-07-02 07:14:41,880 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:41:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 07:14:59,897 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:41:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9825, loss_cls: 0.6055, loss: 0.6055 +2025-07-02 07:15:18,072 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:41:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5417, loss: 0.5417 +2025-07-02 07:15:36,117 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:40:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.6161, loss: 0.6161 +2025-07-02 07:15:54,953 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 07:16:31,409 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:16:31,437 - pyskl - INFO - +top1_acc 0.9011 +top5_acc 0.9880 +2025-07-02 07:16:31,438 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9011, top5_acc: 0.9880 +2025-07-02 07:17:13,833 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:40:23, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6077, loss: 0.6077 +2025-07-02 07:17:32,151 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:40:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 0.6124, loss: 0.6124 +2025-07-02 07:17:50,121 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:39:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 0.5667, loss: 0.5667 +2025-07-02 07:18:08,332 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:39:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5829, loss: 0.5829 +2025-07-02 07:18:26,911 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:39:06, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 0.5555, loss: 0.5555 +2025-07-02 07:18:45,136 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:38:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9888, loss_cls: 0.6386, loss: 0.6386 +2025-07-02 07:19:03,259 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:38:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6256, loss: 0.6256 +2025-07-02 07:19:21,135 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:38:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5708, loss: 0.5708 +2025-07-02 07:19:39,626 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 07:20:16,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:20:16,692 - pyskl - INFO - +top1_acc 0.8833 +top5_acc 0.9893 +2025-07-02 07:20:16,693 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.8833, top5_acc: 0.9893 +2025-07-02 07:20:59,140 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:37:42, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9875, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 07:21:17,065 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:37:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9956, loss_cls: 0.5327, loss: 0.5327 +2025-07-02 07:21:34,978 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:37:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9806, loss_cls: 0.6409, loss: 0.6409 +2025-07-02 07:21:52,936 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:36:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 07:22:10,880 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:36:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9912, loss_cls: 0.5806, loss: 0.5806 +2025-07-02 07:22:28,946 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:36:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9875, loss_cls: 0.6438, loss: 0.6438 +2025-07-02 07:22:47,081 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:35:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5707, loss: 0.5707 +2025-07-02 07:23:04,947 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:35:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5596, loss: 0.5596 +2025-07-02 07:23:23,620 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 07:24:00,667 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:24:00,699 - pyskl - INFO - +top1_acc 0.9272 +top5_acc 0.9918 +2025-07-02 07:24:00,701 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9272, top5_acc: 0.9918 +2025-07-02 07:24:43,578 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:34:59, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9906, loss_cls: 0.5731, loss: 0.5731 +2025-07-02 07:25:02,048 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:34:40, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5348, loss: 0.5348 +2025-07-02 07:25:20,639 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:34:22, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5710, loss: 0.5710 +2025-07-02 07:25:38,537 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:34:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9875, loss_cls: 0.5760, loss: 0.5760 +2025-07-02 07:25:56,673 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:33:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5579, loss: 0.5579 +2025-07-02 07:26:14,717 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:33:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9900, loss_cls: 0.5622, loss: 0.5622 +2025-07-02 07:26:33,002 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:33:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5476, loss: 0.5476 +2025-07-02 07:26:50,646 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:32:43, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9875, loss_cls: 0.5737, loss: 0.5737 +2025-07-02 07:27:09,597 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 07:27:47,148 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:27:47,176 - pyskl - INFO - +top1_acc 0.8755 +top5_acc 0.9840 +2025-07-02 07:27:47,177 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.8755, top5_acc: 0.9840 +2025-07-02 07:28:30,302 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:32:19, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 0.5413, loss: 0.5413 +2025-07-02 07:28:48,605 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:31:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5511, loss: 0.5511 +2025-07-02 07:29:06,651 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:31:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9900, loss_cls: 0.5985, loss: 0.5985 +2025-07-02 07:29:24,960 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:31:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5909, loss: 0.5909 +2025-07-02 07:29:42,987 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:31:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9938, loss_cls: 0.5430, loss: 0.5430 +2025-07-02 07:30:00,982 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:30:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9925, loss_cls: 0.5588, loss: 0.5588 +2025-07-02 07:30:19,710 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:30:23, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.6079, loss: 0.6079 +2025-07-02 07:30:37,664 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:30:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5640, loss: 0.5640 +2025-07-02 07:30:56,206 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 07:31:33,542 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:31:33,570 - pyskl - INFO - +top1_acc 0.7939 +top5_acc 0.9590 +2025-07-02 07:31:33,572 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.7939, top5_acc: 0.9590 +2025-07-02 07:32:15,844 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:29:37, time: 0.423, data_time: 0.239, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 0.5777, loss: 0.5777 +2025-07-02 07:32:33,866 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:29:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 0.4892, loss: 0.4892 +2025-07-02 07:32:52,130 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:28:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9950, loss_cls: 0.5482, loss: 0.5482 +2025-07-02 07:33:10,588 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:28:39, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.5303, loss: 0.5303 +2025-07-02 07:33:28,622 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:28:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9825, loss_cls: 0.6100, loss: 0.6100 +2025-07-02 07:33:46,942 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:28:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9919, loss_cls: 0.5605, loss: 0.5605 +2025-07-02 07:34:04,882 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:27:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5395, loss: 0.5395 +2025-07-02 07:34:22,730 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:27:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5895, loss: 0.5895 +2025-07-02 07:34:41,451 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 07:35:18,635 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:35:18,658 - pyskl - INFO - +top1_acc 0.9207 +top5_acc 0.9923 +2025-07-02 07:35:18,659 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9207, top5_acc: 0.9923 +2025-07-02 07:36:01,495 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:26:54, time: 0.428, data_time: 0.239, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 0.5624, loss: 0.5624 +2025-07-02 07:36:19,828 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:26:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5330, loss: 0.5330 +2025-07-02 07:36:37,675 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:26:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9869, loss_cls: 0.5390, loss: 0.5390 +2025-07-02 07:36:55,753 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:25:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5391, loss: 0.5391 +2025-07-02 07:37:13,857 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:25:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5343, loss: 0.5343 +2025-07-02 07:37:31,835 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:25:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9925, loss_cls: 0.5441, loss: 0.5441 +2025-07-02 07:37:49,914 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:24:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4941, loss: 0.4941 +2025-07-02 07:38:07,958 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:24:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9912, loss_cls: 0.5285, loss: 0.5285 +2025-07-02 07:38:26,730 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 07:39:04,144 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:39:04,173 - pyskl - INFO - +top1_acc 0.9107 +top5_acc 0.9914 +2025-07-02 07:39:04,174 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9107, top5_acc: 0.9914 +2025-07-02 07:39:48,623 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:24:14, time: 0.444, data_time: 0.256, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 0.5850, loss: 0.5850 +2025-07-02 07:40:06,895 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:23:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9931, loss_cls: 0.5846, loss: 0.5846 +2025-07-02 07:40:24,859 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:23:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5238, loss: 0.5238 +2025-07-02 07:40:43,477 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:23:17, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5287, loss: 0.5287 +2025-07-02 07:41:01,667 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:22:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.5218, loss: 0.5218 +2025-07-02 07:41:19,761 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:22:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5417, loss: 0.5417 +2025-07-02 07:41:37,901 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:22:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9894, loss_cls: 0.5720, loss: 0.5720 +2025-07-02 07:41:56,398 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:22:00, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.5279, loss: 0.5279 +2025-07-02 07:42:15,009 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 07:42:52,127 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:42:52,159 - pyskl - INFO - +top1_acc 0.9194 +top5_acc 0.9904 +2025-07-02 07:42:52,161 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9194, top5_acc: 0.9904 +2025-07-02 07:43:36,279 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:21:35, time: 0.441, data_time: 0.250, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9944, loss_cls: 0.5325, loss: 0.5325 +2025-07-02 07:43:54,943 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:21:17, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9856, loss_cls: 0.5488, loss: 0.5488 +2025-07-02 07:44:13,141 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:20:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9906, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 07:44:31,358 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:20:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9912, loss_cls: 0.4932, loss: 0.4932 +2025-07-02 07:44:49,314 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:20:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5608, loss: 0.5608 +2025-07-02 07:45:07,628 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:19:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9950, loss_cls: 0.5501, loss: 0.5501 +2025-07-02 07:45:25,863 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:19:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5549, loss: 0.5549 +2025-07-02 07:45:44,021 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:19:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.6053, loss: 0.6053 +2025-07-02 07:46:02,593 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 07:46:39,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:46:39,776 - pyskl - INFO - +top1_acc 0.9007 +top5_acc 0.9885 +2025-07-02 07:46:39,777 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9007, top5_acc: 0.9885 +2025-07-02 07:47:22,951 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:18:54, time: 0.432, data_time: 0.242, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4972, loss: 0.4972 +2025-07-02 07:47:41,083 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:18:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9875, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 07:47:59,095 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:18:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 07:48:17,316 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:17:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5789, loss: 0.5789 +2025-07-02 07:48:35,574 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:17:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4589, loss: 0.4589 +2025-07-02 07:48:53,908 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:17:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4824, loss: 0.4824 +2025-07-02 07:49:11,866 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:16:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9950, loss_cls: 0.4856, loss: 0.4856 +2025-07-02 07:49:29,957 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:16:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5747, loss: 0.5747 +2025-07-02 07:49:47,996 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 07:50:25,874 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:50:25,898 - pyskl - INFO - +top1_acc 0.9176 +top5_acc 0.9929 +2025-07-02 07:50:25,899 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9176, top5_acc: 0.9929 +2025-07-02 07:51:08,120 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:16:10, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9950, loss_cls: 0.4835, loss: 0.4835 +2025-07-02 07:51:26,677 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:15:51, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 0.4795, loss: 0.4795 +2025-07-02 07:51:44,664 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:15:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4892, loss: 0.4892 +2025-07-02 07:52:03,040 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:15:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.5068, loss: 0.5068 +2025-07-02 07:52:21,213 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:14:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9850, loss_cls: 0.5560, loss: 0.5560 +2025-07-02 07:52:39,172 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:14:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9931, loss_cls: 0.4793, loss: 0.4793 +2025-07-02 07:52:57,370 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:14:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 07:53:15,188 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:13:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 07:53:33,576 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 07:54:10,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:54:10,959 - pyskl - INFO - +top1_acc 0.9320 +top5_acc 0.9921 +2025-07-02 07:54:10,963 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_46.pth was removed +2025-07-02 07:54:11,130 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. +2025-07-02 07:54:11,130 - pyskl - INFO - Best top1_acc is 0.9320 at 59 epoch. +2025-07-02 07:54:11,132 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9320, top5_acc: 0.9921 +2025-07-02 07:54:53,769 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:13:26, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.4890, loss: 0.4890 +2025-07-02 07:55:12,107 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:13:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9906, loss_cls: 0.4664, loss: 0.4664 +2025-07-02 07:55:30,003 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:12:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9906, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 07:55:48,122 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:12:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9919, loss_cls: 0.4715, loss: 0.4715 +2025-07-02 07:56:06,201 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:12:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9938, loss_cls: 0.4879, loss: 0.4879 +2025-07-02 07:56:24,350 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:11:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9912, loss_cls: 0.5663, loss: 0.5663 +2025-07-02 07:56:42,331 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:11:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9881, loss_cls: 0.5304, loss: 0.5304 +2025-07-02 07:57:00,302 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:11:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9900, loss_cls: 0.6185, loss: 0.6185 +2025-07-02 07:57:18,688 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 07:57:55,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:57:55,926 - pyskl - INFO - +top1_acc 0.9114 +top5_acc 0.9917 +2025-07-02 07:57:55,927 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9114, top5_acc: 0.9917 +2025-07-02 07:58:37,750 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:10:41, time: 0.418, data_time: 0.235, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9931, loss_cls: 0.5199, loss: 0.5199 +2025-07-02 07:58:56,079 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:10:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9912, loss_cls: 0.4735, loss: 0.4735 +2025-07-02 07:59:14,164 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:10:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4676, loss: 0.4676 +2025-07-02 07:59:32,224 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:09:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9894, loss_cls: 0.5227, loss: 0.5227 +2025-07-02 07:59:50,346 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:09:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9881, loss_cls: 0.5315, loss: 0.5315 +2025-07-02 08:00:08,837 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:09:04, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.5082, loss: 0.5082 +2025-07-02 08:00:27,224 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:08:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 0.5113, loss: 0.5113 +2025-07-02 08:00:45,156 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:08:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9906, loss_cls: 0.5517, loss: 0.5517 +2025-07-02 08:01:03,273 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 08:01:40,437 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:01:40,460 - pyskl - INFO - +top1_acc 0.8934 +top5_acc 0.9908 +2025-07-02 08:01:40,461 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.8934, top5_acc: 0.9908 +2025-07-02 08:02:22,908 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:07:57, time: 0.424, data_time: 0.243, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9931, loss_cls: 0.5304, loss: 0.5304 +2025-07-02 08:02:40,961 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:07:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4315, loss: 0.4315 +2025-07-02 08:02:59,050 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:07:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 0.5606, loss: 0.5606 +2025-07-02 08:03:17,483 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:06:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4836, loss: 0.4836 +2025-07-02 08:03:35,723 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:06:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4455, loss: 0.4455 +2025-07-02 08:03:53,639 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:06:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9925, loss_cls: 0.5010, loss: 0.5010 +2025-07-02 08:04:11,454 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:06:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5482, loss: 0.5482 +2025-07-02 08:04:29,226 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:05:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9912, loss_cls: 0.5333, loss: 0.5333 +2025-07-02 08:04:47,523 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 08:05:25,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:05:25,382 - pyskl - INFO - +top1_acc 0.8678 +top5_acc 0.9883 +2025-07-02 08:05:25,383 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.8678, top5_acc: 0.9883 +2025-07-02 08:06:08,728 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:05:13, time: 0.433, data_time: 0.242, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9875, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 08:06:26,796 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:04:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9919, loss_cls: 0.4639, loss: 0.4639 +2025-07-02 08:06:44,636 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:04:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4771, loss: 0.4771 +2025-07-02 08:07:02,807 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:04:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9906, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 08:07:20,829 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:03:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4619, loss: 0.4619 +2025-07-02 08:07:38,730 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:03:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4702, loss: 0.4702 +2025-07-02 08:07:56,527 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:03:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9969, loss_cls: 0.4964, loss: 0.4964 +2025-07-02 08:08:14,637 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:02:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9862, loss_cls: 0.5603, loss: 0.5603 +2025-07-02 08:08:33,463 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 08:09:10,538 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:09:10,561 - pyskl - INFO - +top1_acc 0.9097 +top5_acc 0.9930 +2025-07-02 08:09:10,562 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9097, top5_acc: 0.9930 +2025-07-02 08:09:54,807 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:02:29, time: 0.442, data_time: 0.254, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5447, loss: 0.5447 +2025-07-02 08:10:12,528 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:02:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5044, loss: 0.5044 +2025-07-02 08:10:30,415 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:01:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9894, loss_cls: 0.4384, loss: 0.4384 +2025-07-02 08:10:48,280 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:01:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5539, loss: 0.5539 +2025-07-02 08:11:06,621 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:01:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 0.4793, loss: 0.4793 +2025-07-02 08:11:24,860 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:00:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5264, loss: 0.5264 +2025-07-02 08:11:43,011 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 4:00:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9944, loss_cls: 0.4495, loss: 0.4495 +2025-07-02 08:12:01,172 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 4:00:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9950, loss_cls: 0.4814, loss: 0.4814 +2025-07-02 08:12:19,377 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 08:12:55,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:12:55,959 - pyskl - INFO - +top1_acc 0.9004 +top5_acc 0.9903 +2025-07-02 08:12:55,960 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9004, top5_acc: 0.9903 +2025-07-02 08:13:39,132 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:59:44, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4974, loss: 0.4974 +2025-07-02 08:13:57,216 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:59:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4452, loss: 0.4452 +2025-07-02 08:14:15,891 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:59:06, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4702, loss: 0.4702 +2025-07-02 08:14:34,271 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:58:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9919, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 08:14:52,298 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:58:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5516, loss: 0.5516 +2025-07-02 08:15:10,368 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:58:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9962, loss_cls: 0.4489, loss: 0.4489 +2025-07-02 08:15:28,332 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:57:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.4955, loss: 0.4955 +2025-07-02 08:15:46,325 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:57:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9894, loss_cls: 0.5076, loss: 0.5076 +2025-07-02 08:16:04,914 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 08:16:42,497 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:16:42,524 - pyskl - INFO - +top1_acc 0.8321 +top5_acc 0.9740 +2025-07-02 08:16:42,526 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.8321, top5_acc: 0.9740 +2025-07-02 08:17:25,887 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:57:01, time: 0.434, data_time: 0.246, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4713, loss: 0.4713 +2025-07-02 08:17:43,655 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:56:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4459, loss: 0.4459 +2025-07-02 08:18:02,174 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:56:22, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 0.4408, loss: 0.4408 +2025-07-02 08:18:20,067 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:56:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9931, loss_cls: 0.5373, loss: 0.5373 +2025-07-02 08:18:38,186 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:55:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9906, loss_cls: 0.4437, loss: 0.4437 +2025-07-02 08:18:56,227 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:55:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5031, loss: 0.5031 +2025-07-02 08:19:13,953 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:55:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4391, loss: 0.4391 +2025-07-02 08:19:32,258 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:54:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.5118, loss: 0.5118 +2025-07-02 08:19:50,525 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 08:20:28,549 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:20:28,579 - pyskl - INFO - +top1_acc 0.9140 +top5_acc 0.9925 +2025-07-02 08:20:28,580 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9140, top5_acc: 0.9925 +2025-07-02 08:21:11,476 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:54:16, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9931, loss_cls: 0.4965, loss: 0.4965 +2025-07-02 08:21:29,376 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:53:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4165, loss: 0.4165 +2025-07-02 08:21:47,674 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:53:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.4515, loss: 0.4515 +2025-07-02 08:22:06,144 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:53:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4450, loss: 0.4450 +2025-07-02 08:22:24,392 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:52:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9938, loss_cls: 0.5357, loss: 0.5357 +2025-07-02 08:22:42,167 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:52:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.4915, loss: 0.4915 +2025-07-02 08:23:00,321 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:52:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4469, loss: 0.4469 +2025-07-02 08:23:18,632 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:52:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.4987, loss: 0.4987 +2025-07-02 08:23:37,364 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 08:24:14,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:24:14,712 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9936 +2025-07-02 08:24:14,713 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9153, top5_acc: 0.9936 +2025-07-02 08:24:57,918 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:51:31, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9912, loss_cls: 0.4334, loss: 0.4334 +2025-07-02 08:25:15,750 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:51:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 0.4523, loss: 0.4523 +2025-07-02 08:25:33,965 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:50:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.4313, loss: 0.4313 +2025-07-02 08:25:52,361 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:50:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9956, loss_cls: 0.4641, loss: 0.4641 +2025-07-02 08:26:10,306 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:50:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 0.4066, loss: 0.4066 +2025-07-02 08:26:28,470 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:49:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4763, loss: 0.4763 +2025-07-02 08:26:46,791 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:49:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 0.5452, loss: 0.5452 +2025-07-02 08:27:04,595 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:49:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 08:27:22,938 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 08:28:00,736 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:28:00,759 - pyskl - INFO - +top1_acc 0.9264 +top5_acc 0.9944 +2025-07-02 08:28:00,760 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9264, top5_acc: 0.9944 +2025-07-02 08:28:43,565 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:48:46, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4430, loss: 0.4430 +2025-07-02 08:29:01,952 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:48:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4357, loss: 0.4357 +2025-07-02 08:29:19,924 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:48:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4753, loss: 0.4753 +2025-07-02 08:29:38,325 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:47:49, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.4714, loss: 0.4714 +2025-07-02 08:29:56,521 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:47:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.4628, loss: 0.4628 +2025-07-02 08:30:14,449 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:47:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9962, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 08:30:32,418 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:46:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4789, loss: 0.4789 +2025-07-02 08:30:50,677 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:46:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4471, loss: 0.4471 +2025-07-02 08:31:09,447 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 08:31:47,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:31:47,371 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9923 +2025-07-02 08:31:47,372 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9146, top5_acc: 0.9923 +2025-07-02 08:32:30,222 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:46:01, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4803, loss: 0.4803 +2025-07-02 08:32:48,839 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:45:42, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3810, loss: 0.3810 +2025-07-02 08:33:07,077 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:45:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 08:33:25,267 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:45:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4132, loss: 0.4132 +2025-07-02 08:33:43,185 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:44:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4799, loss: 0.4799 +2025-07-02 08:34:01,513 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:44:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4406, loss: 0.4406 +2025-07-02 08:34:19,715 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:44:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5156, loss: 0.5156 +2025-07-02 08:34:37,559 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:43:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 08:34:55,782 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 08:35:33,117 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:35:33,139 - pyskl - INFO - +top1_acc 0.9150 +top5_acc 0.9900 +2025-07-02 08:35:33,140 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9150, top5_acc: 0.9900 +2025-07-02 08:36:15,655 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:43:16, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.4258, loss: 0.4258 +2025-07-02 08:36:33,981 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:42:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4254, loss: 0.4254 +2025-07-02 08:36:52,481 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:42:38, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3743, loss: 0.3743 +2025-07-02 08:37:10,294 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:42:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9925, loss_cls: 0.4551, loss: 0.4551 +2025-07-02 08:37:28,329 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:41:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 08:37:46,315 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:41:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4176, loss: 0.4176 +2025-07-02 08:38:04,494 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:41:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4313, loss: 0.4313 +2025-07-02 08:38:22,374 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:41:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.4635, loss: 0.4635 +2025-07-02 08:38:40,610 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 08:39:18,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:39:18,356 - pyskl - INFO - +top1_acc 0.9379 +top5_acc 0.9946 +2025-07-02 08:39:18,361 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_59.pth was removed +2025-07-02 08:39:18,558 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_71.pth. +2025-07-02 08:39:18,559 - pyskl - INFO - Best top1_acc is 0.9379 at 71 epoch. +2025-07-02 08:39:18,561 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9379, top5_acc: 0.9946 +2025-07-02 08:40:03,460 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:40:33, time: 0.449, data_time: 0.264, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9925, loss_cls: 0.4512, loss: 0.4512 +2025-07-02 08:40:21,612 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:40:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4335, loss: 0.4335 +2025-07-02 08:40:39,845 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:39:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9962, loss_cls: 0.4436, loss: 0.4436 +2025-07-02 08:40:57,764 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:39:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9912, loss_cls: 0.4711, loss: 0.4711 +2025-07-02 08:41:16,007 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:39:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4470, loss: 0.4470 +2025-07-02 08:41:33,928 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:38:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4492, loss: 0.4492 +2025-07-02 08:41:51,936 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:38:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4786, loss: 0.4786 +2025-07-02 08:42:10,093 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:38:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4657, loss: 0.4657 +2025-07-02 08:42:28,692 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 08:43:06,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:43:06,700 - pyskl - INFO - +top1_acc 0.9243 +top5_acc 0.9903 +2025-07-02 08:43:06,701 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9243, top5_acc: 0.9903 +2025-07-02 08:43:49,107 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:37:46, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.4467, loss: 0.4467 +2025-07-02 08:44:07,576 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:37:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3827, loss: 0.3827 +2025-07-02 08:44:25,731 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:37:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 08:44:43,387 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:36:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4248, loss: 0.4248 +2025-07-02 08:45:01,541 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:36:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 08:45:19,590 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:36:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9962, loss_cls: 0.4266, loss: 0.4266 +2025-07-02 08:45:37,490 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:35:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3827, loss: 0.3827 +2025-07-02 08:45:55,410 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:35:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4062, loss: 0.4062 +2025-07-02 08:46:13,750 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 08:46:51,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:46:51,314 - pyskl - INFO - +top1_acc 0.9206 +top5_acc 0.9929 +2025-07-02 08:46:51,316 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9206, top5_acc: 0.9929 +2025-07-02 08:47:34,265 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:35:00, time: 0.429, data_time: 0.248, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4368, loss: 0.4368 +2025-07-02 08:47:52,497 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:34:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 08:48:10,361 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:34:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4328, loss: 0.4328 +2025-07-02 08:48:28,554 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:34:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3868, loss: 0.3868 +2025-07-02 08:48:46,843 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:33:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9956, loss_cls: 0.3695, loss: 0.3695 +2025-07-02 08:49:05,399 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:33:24, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4418, loss: 0.4418 +2025-07-02 08:49:23,277 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:33:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9969, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 08:49:41,196 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:32:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9894, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 08:49:59,587 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 08:50:37,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:50:37,227 - pyskl - INFO - +top1_acc 0.9304 +top5_acc 0.9936 +2025-07-02 08:50:37,228 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9304, top5_acc: 0.9936 +2025-07-02 08:51:19,697 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:32:14, time: 0.425, data_time: 0.247, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.4073, loss: 0.4073 +2025-07-02 08:51:37,667 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:31:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3938, loss: 0.3938 +2025-07-02 08:51:55,464 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:31:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9950, loss_cls: 0.3879, loss: 0.3879 +2025-07-02 08:52:13,499 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:31:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4200, loss: 0.4200 +2025-07-02 08:52:31,396 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:30:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9938, loss_cls: 0.4640, loss: 0.4640 +2025-07-02 08:52:49,215 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:30:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4543, loss: 0.4543 +2025-07-02 08:53:07,081 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:30:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4286, loss: 0.4286 +2025-07-02 08:53:24,909 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:29:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4526, loss: 0.4526 +2025-07-02 08:53:43,194 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 08:54:20,784 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:54:20,812 - pyskl - INFO - +top1_acc 0.9313 +top5_acc 0.9949 +2025-07-02 08:54:20,814 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9313, top5_acc: 0.9949 +2025-07-02 08:55:03,905 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:29:27, time: 0.431, data_time: 0.251, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3991, loss: 0.3991 +2025-07-02 08:55:22,171 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:29:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4418, loss: 0.4418 +2025-07-02 08:55:39,880 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:28:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 08:55:58,211 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:28:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 0.4001, loss: 0.4001 +2025-07-02 08:56:16,214 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:28:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.4207, loss: 0.4207 +2025-07-02 08:56:34,504 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:27:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9962, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 08:56:52,534 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:27:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.4256, loss: 0.4256 +2025-07-02 08:57:10,515 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:27:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4406, loss: 0.4406 +2025-07-02 08:57:28,731 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 08:58:05,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:58:05,555 - pyskl - INFO - +top1_acc 0.9336 +top5_acc 0.9926 +2025-07-02 08:58:05,557 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9336, top5_acc: 0.9926 +2025-07-02 08:58:48,260 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:26:40, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 0.4282, loss: 0.4282 +2025-07-02 08:59:06,743 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:26:21, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9950, loss_cls: 0.4006, loss: 0.4006 +2025-07-02 08:59:24,636 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:26:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.4021, loss: 0.4021 +2025-07-02 08:59:42,578 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:25:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4085, loss: 0.4085 +2025-07-02 09:00:00,445 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:25:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.4224, loss: 0.4224 +2025-07-02 09:00:18,595 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:25:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3484, loss: 0.3484 +2025-07-02 09:00:37,286 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:24:45, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9969, loss_cls: 0.3479, loss: 0.3479 +2025-07-02 09:00:55,076 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:24:26, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3762, loss: 0.3762 +2025-07-02 09:01:13,251 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 09:01:50,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:01:50,117 - pyskl - INFO - +top1_acc 0.9317 +top5_acc 0.9926 +2025-07-02 09:01:50,118 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9317, top5_acc: 0.9926 +2025-07-02 09:02:33,047 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:23:54, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3781, loss: 0.3781 +2025-07-02 09:02:51,357 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:23:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3813, loss: 0.3813 +2025-07-02 09:03:09,930 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:23:16, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 0.3824, loss: 0.3824 +2025-07-02 09:03:28,396 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:22:58, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.4097, loss: 0.4097 +2025-07-02 09:03:46,745 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:22:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4433, loss: 0.4433 +2025-07-02 09:04:05,069 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:22:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 09:04:23,386 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:22:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9925, loss_cls: 0.4345, loss: 0.4345 +2025-07-02 09:04:41,138 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:21:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4368, loss: 0.4368 +2025-07-02 09:04:59,524 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 09:05:36,706 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:05:36,729 - pyskl - INFO - +top1_acc 0.9338 +top5_acc 0.9943 +2025-07-02 09:05:36,730 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9338, top5_acc: 0.9943 +2025-07-02 09:06:19,465 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:21:09, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9975, loss_cls: 0.4211, loss: 0.4211 +2025-07-02 09:06:37,833 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:20:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3782, loss: 0.3782 +2025-07-02 09:06:55,651 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:20:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3365, loss: 0.3365 +2025-07-02 09:07:13,737 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:20:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3717, loss: 0.3717 +2025-07-02 09:07:31,661 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:19:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3742, loss: 0.3742 +2025-07-02 09:07:49,677 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:19:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 0.4045, loss: 0.4045 +2025-07-02 09:08:07,658 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:19:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3671, loss: 0.3671 +2025-07-02 09:08:25,680 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:18:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9969, loss_cls: 0.4069, loss: 0.4069 +2025-07-02 09:08:44,403 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 09:09:21,230 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:09:21,253 - pyskl - INFO - +top1_acc 0.9409 +top5_acc 0.9946 +2025-07-02 09:09:21,257 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_71.pth was removed +2025-07-02 09:09:21,558 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2025-07-02 09:09:21,558 - pyskl - INFO - Best top1_acc is 0.9409 at 79 epoch. +2025-07-02 09:09:21,560 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9409, top5_acc: 0.9946 +2025-07-02 09:10:04,800 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:18:23, time: 0.432, data_time: 0.250, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9975, loss_cls: 0.3060, loss: 0.3060 +2025-07-02 09:10:23,405 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:18:04, time: 0.186, data_time: 0.001, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3765, loss: 0.3765 +2025-07-02 09:10:41,731 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:17:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3735, loss: 0.3735 +2025-07-02 09:10:59,712 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:17:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3960, loss: 0.3960 +2025-07-02 09:11:18,379 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:17:07, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3444, loss: 0.3444 +2025-07-02 09:11:36,203 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:16:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3927, loss: 0.3927 +2025-07-02 09:11:54,273 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:16:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4201, loss: 0.4201 +2025-07-02 09:12:12,558 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:16:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4341, loss: 0.4341 +2025-07-02 09:12:31,179 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 09:13:08,480 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:13:08,503 - pyskl - INFO - +top1_acc 0.9423 +top5_acc 0.9947 +2025-07-02 09:13:08,510 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_79.pth was removed +2025-07-02 09:13:08,674 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. +2025-07-02 09:13:08,675 - pyskl - INFO - Best top1_acc is 0.9423 at 80 epoch. +2025-07-02 09:13:08,676 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9423, top5_acc: 0.9947 +2025-07-02 09:13:52,010 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:15:37, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.3793, loss: 0.3793 +2025-07-02 09:14:10,316 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:15:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3581, loss: 0.3581 +2025-07-02 09:14:28,708 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:14:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9975, loss_cls: 0.3907, loss: 0.3907 +2025-07-02 09:14:47,146 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:14:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.4111, loss: 0.4111 +2025-07-02 09:15:05,376 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:14:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9981, loss_cls: 0.3716, loss: 0.3716 +2025-07-02 09:15:23,611 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:14:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3569, loss: 0.3569 +2025-07-02 09:15:41,356 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:13:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3807, loss: 0.3807 +2025-07-02 09:15:59,263 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:13:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9925, loss_cls: 0.3809, loss: 0.3809 +2025-07-02 09:16:17,812 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 09:16:55,025 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:16:55,048 - pyskl - INFO - +top1_acc 0.9258 +top5_acc 0.9926 +2025-07-02 09:16:55,049 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9258, top5_acc: 0.9926 +2025-07-02 09:17:38,179 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:12:52, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9981, loss_cls: 0.3370, loss: 0.3370 +2025-07-02 09:17:56,252 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:12:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3135, loss: 0.3135 +2025-07-02 09:18:14,027 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:12:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3434, loss: 0.3434 +2025-07-02 09:18:31,824 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:11:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 09:18:49,750 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:11:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3812, loss: 0.3812 +2025-07-02 09:19:07,913 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:11:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3988, loss: 0.3988 +2025-07-02 09:19:26,090 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:10:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3507, loss: 0.3507 +2025-07-02 09:19:44,196 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:10:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3842, loss: 0.3842 +2025-07-02 09:20:02,450 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 09:20:39,865 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:20:39,888 - pyskl - INFO - +top1_acc 0.8972 +top5_acc 0.9893 +2025-07-02 09:20:39,889 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.8972, top5_acc: 0.9893 +2025-07-02 09:21:22,800 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:10:04, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3642, loss: 0.3642 +2025-07-02 09:21:41,177 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:09:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3403, loss: 0.3403 +2025-07-02 09:21:58,925 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:09:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3609, loss: 0.3609 +2025-07-02 09:22:17,027 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:09:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9944, loss_cls: 0.3447, loss: 0.3447 +2025-07-02 09:22:35,083 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:08:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3992, loss: 0.3992 +2025-07-02 09:22:53,396 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:08:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9969, loss_cls: 0.3477, loss: 0.3477 +2025-07-02 09:23:11,869 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:08:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3520, loss: 0.3520 +2025-07-02 09:23:30,094 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:07:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3840, loss: 0.3840 +2025-07-02 09:23:48,360 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 09:24:25,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:24:25,307 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9947 +2025-07-02 09:24:25,312 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_80.pth was removed +2025-07-02 09:24:25,529 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. +2025-07-02 09:24:25,529 - pyskl - INFO - Best top1_acc is 0.9496 at 83 epoch. +2025-07-02 09:24:25,533 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9496, top5_acc: 0.9947 +2025-07-02 09:25:08,509 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:07:18, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3530, loss: 0.3530 +2025-07-02 09:25:26,742 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:06:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.2901, loss: 0.2901 +2025-07-02 09:25:44,631 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:06:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3254, loss: 0.3254 +2025-07-02 09:26:02,628 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:06:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3612, loss: 0.3612 +2025-07-02 09:26:21,060 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:06:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3591, loss: 0.3591 +2025-07-02 09:26:39,494 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:05:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3672, loss: 0.3672 +2025-07-02 09:26:57,368 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:05:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9981, loss_cls: 0.3590, loss: 0.3590 +2025-07-02 09:27:15,197 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:05:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4130, loss: 0.4130 +2025-07-02 09:27:33,454 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 09:28:11,192 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:28:11,216 - pyskl - INFO - +top1_acc 0.9354 +top5_acc 0.9943 +2025-07-02 09:28:11,218 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9354, top5_acc: 0.9943 +2025-07-02 09:28:54,867 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:04:32, time: 0.436, data_time: 0.247, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3421, loss: 0.3421 +2025-07-02 09:29:12,936 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:04:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 0.2950, loss: 0.2950 +2025-07-02 09:29:31,151 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:03:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3340, loss: 0.3340 +2025-07-02 09:29:48,985 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:03:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 09:30:06,844 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:03:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3464, loss: 0.3464 +2025-07-02 09:30:24,896 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:02:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.3070, loss: 0.3070 +2025-07-02 09:30:43,020 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:02:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.3099, loss: 0.3099 +2025-07-02 09:31:00,724 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:02:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3817, loss: 0.3817 +2025-07-02 09:31:18,787 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 09:31:55,749 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:31:55,771 - pyskl - INFO - +top1_acc 0.9263 +top5_acc 0.9942 +2025-07-02 09:31:55,772 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9263, top5_acc: 0.9942 +2025-07-02 09:32:38,965 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:01:45, time: 0.432, data_time: 0.251, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.4541, loss: 0.4541 +2025-07-02 09:32:57,137 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:01:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2984, loss: 0.2984 +2025-07-02 09:33:15,028 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:01:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 0.3490, loss: 0.3490 +2025-07-02 09:33:33,117 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:00:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3509, loss: 0.3509 +2025-07-02 09:33:50,985 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 3:00:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3761, loss: 0.3761 +2025-07-02 09:34:09,603 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 3:00:09, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9950, loss_cls: 0.3314, loss: 0.3314 +2025-07-02 09:34:27,417 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:59:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3198, loss: 0.3198 +2025-07-02 09:34:45,134 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:59:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3502, loss: 0.3502 +2025-07-02 09:35:03,928 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 09:35:41,511 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:35:41,542 - pyskl - INFO - +top1_acc 0.9402 +top5_acc 0.9939 +2025-07-02 09:35:41,545 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9402, top5_acc: 0.9939 +2025-07-02 09:36:27,466 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:59:00, time: 0.459, data_time: 0.270, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9962, loss_cls: 0.3254, loss: 0.3254 +2025-07-02 09:36:46,041 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:58:41, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2982, loss: 0.2982 +2025-07-02 09:37:04,078 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:58:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3551, loss: 0.3551 +2025-07-02 09:37:22,019 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:58:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3400, loss: 0.3400 +2025-07-02 09:37:39,979 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:57:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3229, loss: 0.3229 +2025-07-02 09:37:58,068 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:57:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.3132, loss: 0.3132 +2025-07-02 09:38:15,966 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:57:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9969, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 09:38:33,797 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:56:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3206, loss: 0.3206 +2025-07-02 09:38:52,196 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 09:39:29,239 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:39:29,271 - pyskl - INFO - +top1_acc 0.9389 +top5_acc 0.9958 +2025-07-02 09:39:29,272 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9389, top5_acc: 0.9958 +2025-07-02 09:40:13,096 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:56:13, time: 0.438, data_time: 0.251, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9988, loss_cls: 0.3562, loss: 0.3562 +2025-07-02 09:40:30,901 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:55:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2874, loss: 0.2874 +2025-07-02 09:40:49,173 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:55:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3016, loss: 0.3016 +2025-07-02 09:41:07,212 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:55:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.3041, loss: 0.3041 +2025-07-02 09:41:25,224 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:54:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.3515, loss: 0.3515 +2025-07-02 09:41:43,648 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:54:37, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3095, loss: 0.3095 +2025-07-02 09:42:01,534 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:54:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9950, loss_cls: 0.3262, loss: 0.3262 +2025-07-02 09:42:19,639 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3283, loss: 0.3283 +2025-07-02 09:42:37,845 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 09:43:14,075 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:43:14,096 - pyskl - INFO - +top1_acc 0.9430 +top5_acc 0.9933 +2025-07-02 09:43:14,097 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9430, top5_acc: 0.9933 +2025-07-02 09:43:56,344 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:53:25, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3471, loss: 0.3471 +2025-07-02 09:44:14,276 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:53:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9975, loss_cls: 0.3192, loss: 0.3192 +2025-07-02 09:44:32,088 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:52:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.3146, loss: 0.3146 +2025-07-02 09:44:50,014 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:52:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9981, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 09:45:08,746 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:52:09, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2871, loss: 0.2871 +2025-07-02 09:45:26,709 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:51:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2704, loss: 0.2704 +2025-07-02 09:45:44,845 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:51:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9956, loss_cls: 0.2700, loss: 0.2700 +2025-07-02 09:46:02,677 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:51:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.3087, loss: 0.3087 +2025-07-02 09:46:20,997 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 09:46:57,869 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:46:57,891 - pyskl - INFO - +top1_acc 0.9484 +top5_acc 0.9951 +2025-07-02 09:46:57,892 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9484, top5_acc: 0.9951 +2025-07-02 09:47:40,134 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:50:37, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.3059, loss: 0.3059 +2025-07-02 09:47:58,132 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:50:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2636, loss: 0.2636 +2025-07-02 09:48:15,776 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:49:59, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.3047, loss: 0.3047 +2025-07-02 09:48:33,760 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:49:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.3274, loss: 0.3274 +2025-07-02 09:48:51,972 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:49:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2881, loss: 0.2881 +2025-07-02 09:49:10,506 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:49:02, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2666, loss: 0.2666 +2025-07-02 09:49:28,523 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:48:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9975, loss_cls: 0.2935, loss: 0.2935 +2025-07-02 09:49:46,544 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:48:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3511, loss: 0.3511 +2025-07-02 09:50:04,690 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 09:50:41,707 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:50:41,730 - pyskl - INFO - +top1_acc 0.9495 +top5_acc 0.9947 +2025-07-02 09:50:41,731 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9495, top5_acc: 0.9947 +2025-07-02 09:51:24,496 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:47:50, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2974, loss: 0.2974 +2025-07-02 09:51:42,468 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:47:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2605, loss: 0.2605 +2025-07-02 09:52:00,483 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:47:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 1.0000, loss_cls: 0.2682, loss: 0.2682 +2025-07-02 09:52:18,465 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:46:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9969, loss_cls: 0.3187, loss: 0.3187 +2025-07-02 09:52:36,440 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:46:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.3086, loss: 0.3086 +2025-07-02 09:52:54,196 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:46:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9975, loss_cls: 0.3047, loss: 0.3047 +2025-07-02 09:53:12,161 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3277, loss: 0.3277 +2025-07-02 09:53:30,122 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:45:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9962, loss_cls: 0.3286, loss: 0.3286 +2025-07-02 09:53:48,288 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 09:54:25,008 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:54:25,031 - pyskl - INFO - +top1_acc 0.9427 +top5_acc 0.9947 +2025-07-02 09:54:25,032 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9427, top5_acc: 0.9947 +2025-07-02 09:55:08,115 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:45:02, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2874, loss: 0.2874 +2025-07-02 09:55:26,376 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:44:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3200, loss: 0.3200 +2025-07-02 09:55:44,380 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:44:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9994, loss_cls: 0.2779, loss: 0.2779 +2025-07-02 09:56:02,549 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:44:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9994, loss_cls: 0.2644, loss: 0.2644 +2025-07-02 09:56:20,667 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:43:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2717, loss: 0.2717 +2025-07-02 09:56:38,699 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:43:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 1.0000, loss_cls: 0.2820, loss: 0.2820 +2025-07-02 09:56:56,643 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:43:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9988, loss_cls: 0.2684, loss: 0.2684 +2025-07-02 09:57:14,967 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:42:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2854, loss: 0.2854 +2025-07-02 09:57:33,248 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 09:58:09,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:58:09,328 - pyskl - INFO - +top1_acc 0.9450 +top5_acc 0.9953 +2025-07-02 09:58:09,329 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9450, top5_acc: 0.9953 +2025-07-02 09:58:51,615 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:42:15, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 09:59:09,685 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2668, loss: 0.2668 +2025-07-02 09:59:27,540 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:41:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9975, loss_cls: 0.2763, loss: 0.2763 +2025-07-02 09:59:45,704 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:41:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3191, loss: 0.3191 +2025-07-02 10:00:03,547 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9975, loss_cls: 0.3000, loss: 0.3000 +2025-07-02 10:00:21,440 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:40:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3348, loss: 0.3348 +2025-07-02 10:00:39,550 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:40:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2881, loss: 0.2881 +2025-07-02 10:00:57,862 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:40:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2767, loss: 0.2767 +2025-07-02 10:01:16,882 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 10:01:53,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:01:53,622 - pyskl - INFO - +top1_acc 0.9411 +top5_acc 0.9940 +2025-07-02 10:01:53,623 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9411, top5_acc: 0.9940 +2025-07-02 10:02:35,538 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:39:26, time: 0.419, data_time: 0.238, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.3025, loss: 0.3025 +2025-07-02 10:02:53,904 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:39:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2760, loss: 0.2760 +2025-07-02 10:03:11,833 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:38:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2280, loss: 0.2280 +2025-07-02 10:03:29,941 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:38:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2523, loss: 0.2523 +2025-07-02 10:03:47,980 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:38:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2791, loss: 0.2791 +2025-07-02 10:04:05,885 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2776, loss: 0.2776 +2025-07-02 10:04:24,147 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9969, loss_cls: 0.3017, loss: 0.3017 +2025-07-02 10:04:42,041 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:37:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9988, loss_cls: 0.3129, loss: 0.3129 +2025-07-02 10:05:00,795 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 10:05:38,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:05:38,072 - pyskl - INFO - +top1_acc 0.9488 +top5_acc 0.9947 +2025-07-02 10:05:38,073 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9488, top5_acc: 0.9947 +2025-07-02 10:06:21,820 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:36:39, time: 0.437, data_time: 0.253, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2974, loss: 0.2974 +2025-07-02 10:06:40,185 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:36:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2390, loss: 0.2390 +2025-07-02 10:06:58,114 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:36:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 10:07:16,296 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:35:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.2828, loss: 0.2828 +2025-07-02 10:07:34,411 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:35:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2639, loss: 0.2639 +2025-07-02 10:07:52,713 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:35:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2572, loss: 0.2572 +2025-07-02 10:08:11,937 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:34:46, time: 0.192, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9969, loss_cls: 0.2578, loss: 0.2578 +2025-07-02 10:08:30,017 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:34:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2791, loss: 0.2791 +2025-07-02 10:08:48,539 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 10:09:26,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:09:26,169 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9950 +2025-07-02 10:09:26,170 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9474, top5_acc: 0.9950 +2025-07-02 10:10:08,560 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:53, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2511, loss: 0.2511 +2025-07-02 10:10:27,153 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:34, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2577, loss: 0.2577 +2025-07-02 10:10:45,265 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:33:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2465, loss: 0.2465 +2025-07-02 10:11:03,297 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.2954, loss: 0.2954 +2025-07-02 10:11:21,309 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:32:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 10:11:39,359 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:32:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.2580, loss: 0.2580 +2025-07-02 10:11:58,054 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:59, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 1.0000, loss_cls: 0.2834, loss: 0.2834 +2025-07-02 10:12:16,573 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:31:40, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2683, loss: 0.2683 +2025-07-02 10:12:35,318 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 10:13:12,160 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:13:12,189 - pyskl - INFO - +top1_acc 0.9546 +top5_acc 0.9946 +2025-07-02 10:13:12,194 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_83.pth was removed +2025-07-02 10:13:12,382 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_96.pth. +2025-07-02 10:13:12,383 - pyskl - INFO - Best top1_acc is 0.9546 at 96 epoch. +2025-07-02 10:13:12,385 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9546, top5_acc: 0.9946 +2025-07-02 10:13:54,939 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:31:06, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2620, loss: 0.2620 +2025-07-02 10:14:13,197 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:30:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2521, loss: 0.2521 +2025-07-02 10:14:31,323 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2173, loss: 0.2173 +2025-07-02 10:14:49,117 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:30:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2379, loss: 0.2379 +2025-07-02 10:15:07,209 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2613, loss: 0.2613 +2025-07-02 10:15:25,367 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2819, loss: 0.2819 +2025-07-02 10:15:43,660 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:29:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9994, loss_cls: 0.2665, loss: 0.2665 +2025-07-02 10:16:01,457 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2353, loss: 0.2353 +2025-07-02 10:16:19,992 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 10:16:56,354 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:16:56,382 - pyskl - INFO - +top1_acc 0.9473 +top5_acc 0.9955 +2025-07-02 10:16:56,383 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9473, top5_acc: 0.9955 +2025-07-02 10:17:38,681 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:28:18, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2187, loss: 0.2187 +2025-07-02 10:17:56,948 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2075, loss: 0.2075 +2025-07-02 10:18:15,109 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2402, loss: 0.2402 +2025-07-02 10:18:33,355 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:27:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2112, loss: 0.2112 +2025-07-02 10:18:51,067 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:27:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2327, loss: 0.2327 +2025-07-02 10:19:09,541 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:26:43, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.2925, loss: 0.2925 +2025-07-02 10:19:28,285 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:26:24, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2827, loss: 0.2827 +2025-07-02 10:19:46,394 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:26:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2546, loss: 0.2546 +2025-07-02 10:20:05,010 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 10:20:41,585 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:20:41,608 - pyskl - INFO - +top1_acc 0.9517 +top5_acc 0.9957 +2025-07-02 10:20:41,609 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9517, top5_acc: 0.9957 +2025-07-02 10:21:24,019 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:31, time: 0.424, data_time: 0.235, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2221, loss: 0.2221 +2025-07-02 10:21:42,501 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:25:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9994, loss_cls: 0.2330, loss: 0.2330 +2025-07-02 10:22:00,409 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.2102, loss: 0.2102 +2025-07-02 10:22:18,859 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9988, loss_cls: 0.2439, loss: 0.2439 +2025-07-02 10:22:37,025 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:24:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2547, loss: 0.2547 +2025-07-02 10:22:55,191 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9944, loss_cls: 0.2464, loss: 0.2464 +2025-07-02 10:23:13,265 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2399, loss: 0.2399 +2025-07-02 10:23:31,571 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:23:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2575, loss: 0.2575 +2025-07-02 10:23:49,787 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 10:24:27,216 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:24:27,243 - pyskl - INFO - +top1_acc 0.9470 +top5_acc 0.9944 +2025-07-02 10:24:27,244 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9470, top5_acc: 0.9944 +2025-07-02 10:25:08,771 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:43, time: 0.415, data_time: 0.232, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2161, loss: 0.2161 +2025-07-02 10:25:27,041 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:22:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2549, loss: 0.2549 +2025-07-02 10:25:45,154 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:22:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9988, loss_cls: 0.2158, loss: 0.2158 +2025-07-02 10:26:03,037 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2153, loss: 0.2153 +2025-07-02 10:26:21,127 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.1983, loss: 0.1983 +2025-07-02 10:26:38,935 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:21:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.2204, loss: 0.2204 +2025-07-02 10:26:56,784 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2421, loss: 0.2421 +2025-07-02 10:27:15,073 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2316, loss: 0.2316 +2025-07-02 10:27:33,146 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 10:28:09,752 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:28:09,780 - pyskl - INFO - +top1_acc 0.9537 +top5_acc 0.9949 +2025-07-02 10:28:09,782 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9537, top5_acc: 0.9949 +2025-07-02 10:28:50,602 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:54, time: 0.408, data_time: 0.229, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.2103, loss: 0.2103 +2025-07-02 10:29:09,316 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:35, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2043, loss: 0.2043 +2025-07-02 10:29:27,100 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:19:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1833, loss: 0.1833 +2025-07-02 10:29:45,426 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9950, loss_cls: 0.2336, loss: 0.2336 +2025-07-02 10:30:03,402 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2364, loss: 0.2364 +2025-07-02 10:30:21,256 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:18:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2447, loss: 0.2447 +2025-07-02 10:30:39,969 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:18:00, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9994, loss_cls: 0.1928, loss: 0.1928 +2025-07-02 10:30:58,045 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.2055, loss: 0.2055 +2025-07-02 10:31:16,558 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 10:31:53,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:31:53,161 - pyskl - INFO - +top1_acc 0.9502 +top5_acc 0.9951 +2025-07-02 10:31:53,163 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9502, top5_acc: 0.9951 +2025-07-02 10:32:35,331 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:17:06, time: 0.422, data_time: 0.237, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1959, loss: 0.1959 +2025-07-02 10:32:53,549 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9988, loss_cls: 0.2080, loss: 0.2080 +2025-07-02 10:33:11,567 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.2226, loss: 0.2226 +2025-07-02 10:33:29,780 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:16:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2140, loss: 0.2140 +2025-07-02 10:33:47,701 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2135, loss: 0.2135 +2025-07-02 10:34:05,519 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.2127, loss: 0.2127 +2025-07-02 10:34:23,579 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:15:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2339, loss: 0.2339 +2025-07-02 10:34:42,035 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:53, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2386, loss: 0.2386 +2025-07-02 10:35:00,984 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 10:35:37,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:35:37,818 - pyskl - INFO - +top1_acc 0.9485 +top5_acc 0.9953 +2025-07-02 10:35:37,819 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9485, top5_acc: 0.9953 +2025-07-02 10:36:19,328 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:14:18, time: 0.415, data_time: 0.233, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2047, loss: 0.2047 +2025-07-02 10:36:37,484 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2045, loss: 0.2045 +2025-07-02 10:36:55,800 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1870, loss: 0.1870 +2025-07-02 10:37:13,779 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2218, loss: 0.2218 +2025-07-02 10:37:31,915 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:13:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2185, loss: 0.2185 +2025-07-02 10:37:49,901 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1927, loss: 0.1927 +2025-07-02 10:38:08,098 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2621, loss: 0.2621 +2025-07-02 10:38:26,168 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:12:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2639, loss: 0.2639 +2025-07-02 10:38:44,762 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 10:39:21,841 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:39:21,864 - pyskl - INFO - +top1_acc 0.9528 +top5_acc 0.9962 +2025-07-02 10:39:21,865 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9528, top5_acc: 0.9962 +2025-07-02 10:40:03,543 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:30, time: 0.417, data_time: 0.231, memory: 2903, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 10:40:21,518 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:11:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.2052, loss: 0.2052 +2025-07-02 10:40:39,839 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 10:40:57,889 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:33, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.2092, loss: 0.2092 +2025-07-02 10:41:15,749 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:10:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1915, loss: 0.1915 +2025-07-02 10:41:34,095 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1799, loss: 0.1799 +2025-07-02 10:41:52,322 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1658, loss: 0.1658 +2025-07-02 10:42:10,702 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:09:17, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1914, loss: 0.1914 +2025-07-02 10:42:29,137 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 10:43:06,376 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:43:06,407 - pyskl - INFO - +top1_acc 0.9567 +top5_acc 0.9955 +2025-07-02 10:43:06,411 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_96.pth was removed +2025-07-02 10:43:06,632 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-02 10:43:06,632 - pyskl - INFO - Best top1_acc is 0.9567 at 104 epoch. +2025-07-02 10:43:06,634 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9567, top5_acc: 0.9955 +2025-07-02 10:43:48,636 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:42, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2222, loss: 0.2222 +2025-07-02 10:44:07,088 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:23, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 10:44:25,431 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:08:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 10:44:43,507 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1877, loss: 0.1877 +2025-07-02 10:45:01,500 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2061, loss: 0.2061 +2025-07-02 10:45:19,291 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:07:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.2032, loss: 0.2032 +2025-07-02 10:45:37,496 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2242, loss: 0.2242 +2025-07-02 10:45:55,512 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2165, loss: 0.2165 +2025-07-02 10:46:14,106 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 10:46:51,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:46:51,679 - pyskl - INFO - +top1_acc 0.9616 +top5_acc 0.9967 +2025-07-02 10:46:51,683 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_104.pth was removed +2025-07-02 10:46:51,848 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2025-07-02 10:46:51,848 - pyskl - INFO - Best top1_acc is 0.9616 at 105 epoch. +2025-07-02 10:46:51,850 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9616, top5_acc: 0.9967 +2025-07-02 10:47:34,939 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:54, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1787, loss: 0.1787 +2025-07-02 10:47:53,342 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1844, loss: 0.1844 +2025-07-02 10:48:11,269 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:05:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.2038, loss: 0.2038 +2025-07-02 10:48:29,287 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.2012, loss: 0.2012 +2025-07-02 10:48:47,349 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1738, loss: 0.1738 +2025-07-02 10:49:05,314 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1979, loss: 0.1979 +2025-07-02 10:49:23,263 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:04:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2181, loss: 0.2181 +2025-07-02 10:49:41,383 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 1.0000, loss_cls: 0.1958, loss: 0.1958 +2025-07-02 10:49:59,692 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 10:50:36,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:50:36,825 - pyskl - INFO - +top1_acc 0.9577 +top5_acc 0.9967 +2025-07-02 10:50:36,827 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9577, top5_acc: 0.9967 +2025-07-02 10:51:18,783 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:03:06, time: 0.420, data_time: 0.235, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1934, loss: 0.1934 +2025-07-02 10:51:36,908 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 10:51:55,107 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1774, loss: 0.1774 +2025-07-02 10:52:12,924 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:02:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2269, loss: 0.2269 +2025-07-02 10:52:30,535 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:50, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.1889, loss: 0.1889 +2025-07-02 10:52:48,400 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1921, loss: 0.1921 +2025-07-02 10:53:06,573 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:01:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1650, loss: 0.1650 +2025-07-02 10:53:24,994 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1913, loss: 0.1913 +2025-07-02 10:53:43,554 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 10:54:20,999 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:54:21,028 - pyskl - INFO - +top1_acc 0.9605 +top5_acc 0.9958 +2025-07-02 10:54:21,030 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9605, top5_acc: 0.9958 +2025-07-02 10:55:02,953 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:18, time: 0.419, data_time: 0.237, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1895, loss: 0.1895 +2025-07-02 10:55:21,005 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1284, loss: 0.1284 +2025-07-02 10:55:38,856 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1539, loss: 0.1539 +2025-07-02 10:55:57,187 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9994, loss_cls: 0.1691, loss: 0.1691 +2025-07-02 10:56:15,302 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:59:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1639, loss: 0.1639 +2025-07-02 10:56:33,481 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1520, loss: 0.1520 +2025-07-02 10:56:51,557 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1737, loss: 0.1737 +2025-07-02 10:57:09,652 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:58:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1700, loss: 0.1700 +2025-07-02 10:57:28,078 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 10:58:04,920 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:58:04,944 - pyskl - INFO - +top1_acc 0.9471 +top5_acc 0.9967 +2025-07-02 10:58:04,945 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9471, top5_acc: 0.9967 +2025-07-02 10:58:46,999 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:30, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1889, loss: 0.1889 +2025-07-02 10:59:05,945 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:57:11, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1473, loss: 0.1473 +2025-07-02 10:59:23,977 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 10:59:42,151 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9988, loss_cls: 0.1901, loss: 0.1901 +2025-07-02 11:00:00,134 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:56:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1490, loss: 0.1490 +2025-07-02 11:00:18,246 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1757, loss: 0.1757 +2025-07-02 11:00:36,437 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 11:00:54,533 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 1.0000, loss_cls: 0.1723, loss: 0.1723 +2025-07-02 11:01:13,161 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 11:01:50,253 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:01:50,276 - pyskl - INFO - +top1_acc 0.9602 +top5_acc 0.9962 +2025-07-02 11:01:50,277 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9602, top5_acc: 0.9962 +2025-07-02 11:02:31,755 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:42, time: 0.415, data_time: 0.235, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1684, loss: 0.1684 +2025-07-02 11:02:49,923 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1629, loss: 0.1629 +2025-07-02 11:03:07,583 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:54:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1406, loss: 0.1406 +2025-07-02 11:03:25,824 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 11:03:43,874 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1648, loss: 0.1648 +2025-07-02 11:04:01,891 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:53:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9994, loss_cls: 0.1629, loss: 0.1629 +2025-07-02 11:04:19,978 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1539, loss: 0.1539 +2025-07-02 11:04:38,292 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1555, loss: 0.1555 +2025-07-02 11:04:57,218 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 11:05:34,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:05:34,614 - pyskl - INFO - +top1_acc 0.9633 +top5_acc 0.9957 +2025-07-02 11:05:34,618 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_105.pth was removed +2025-07-02 11:05:34,784 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 11:05:34,784 - pyskl - INFO - Best top1_acc is 0.9633 at 110 epoch. +2025-07-02 11:05:34,786 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9633, top5_acc: 0.9957 +2025-07-02 11:06:18,184 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:54, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1501, loss: 0.1501 +2025-07-02 11:06:36,301 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1655, loss: 0.1655 +2025-07-02 11:06:54,225 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 1.0000, loss_cls: 0.1739, loss: 0.1739 +2025-07-02 11:07:12,425 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1569, loss: 0.1569 +2025-07-02 11:07:30,487 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 11:07:48,746 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1488, loss: 0.1488 +2025-07-02 11:08:06,576 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:50:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1315, loss: 0.1315 +2025-07-02 11:08:24,727 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1275, loss: 0.1275 +2025-07-02 11:08:43,403 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 11:09:20,764 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:09:20,786 - pyskl - INFO - +top1_acc 0.9638 +top5_acc 0.9964 +2025-07-02 11:09:20,790 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_110.pth was removed +2025-07-02 11:09:20,954 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 11:09:20,955 - pyskl - INFO - Best top1_acc is 0.9638 at 111 epoch. +2025-07-02 11:09:20,956 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9638, top5_acc: 0.9964 +2025-07-02 11:10:03,032 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:49:06, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1477, loss: 0.1477 +2025-07-02 11:10:21,232 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1511, loss: 0.1511 +2025-07-02 11:10:39,415 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1532, loss: 0.1532 +2025-07-02 11:10:57,732 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:48:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.1303, loss: 0.1303 +2025-07-02 11:11:15,464 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1338, loss: 0.1338 +2025-07-02 11:11:33,387 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 11:11:51,453 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:47:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1250, loss: 0.1250 +2025-07-02 11:12:09,617 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1797, loss: 0.1797 +2025-07-02 11:12:28,067 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 11:13:05,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:13:05,276 - pyskl - INFO - +top1_acc 0.9613 +top5_acc 0.9960 +2025-07-02 11:13:05,277 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9613, top5_acc: 0.9960 +2025-07-02 11:13:48,291 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:18, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1745, loss: 0.1745 +2025-07-02 11:14:06,283 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1479, loss: 0.1479 +2025-07-02 11:14:24,222 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1441, loss: 0.1441 +2025-07-02 11:14:42,471 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1102, loss: 0.1102 +2025-07-02 11:15:00,647 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:45:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1359, loss: 0.1359 +2025-07-02 11:15:18,672 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1440, loss: 0.1440 +2025-07-02 11:15:36,816 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1562, loss: 0.1562 +2025-07-02 11:15:54,870 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:44:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1340, loss: 0.1340 +2025-07-02 11:16:13,136 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 11:16:50,140 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:16:50,166 - pyskl - INFO - +top1_acc 0.9595 +top5_acc 0.9964 +2025-07-02 11:16:50,168 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9595, top5_acc: 0.9964 +2025-07-02 11:17:33,460 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:30, time: 0.433, data_time: 0.245, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1778, loss: 0.1778 +2025-07-02 11:17:51,716 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:43:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1164, loss: 0.1164 +2025-07-02 11:18:09,863 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1332, loss: 0.1332 +2025-07-02 11:18:28,437 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:33, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.1076, loss: 0.1076 +2025-07-02 11:18:46,198 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 11:19:03,920 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.1095, loss: 0.1095 +2025-07-02 11:19:21,523 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:36, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 11:19:39,447 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1391, loss: 0.1391 +2025-07-02 11:19:58,021 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 11:20:34,994 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:20:35,017 - pyskl - INFO - +top1_acc 0.9531 +top5_acc 0.9960 +2025-07-02 11:20:35,018 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9531, top5_acc: 0.9960 +2025-07-02 11:21:17,544 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:41, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1646, loss: 0.1646 +2025-07-02 11:21:35,593 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1272, loss: 0.1272 +2025-07-02 11:21:53,274 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:40:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1595, loss: 0.1595 +2025-07-02 11:22:11,610 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1192, loss: 0.1192 +2025-07-02 11:22:29,576 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1239, loss: 0.1239 +2025-07-02 11:22:47,931 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:39:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 1.0000, loss_cls: 0.1242, loss: 0.1242 +2025-07-02 11:23:05,871 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1132, loss: 0.1132 +2025-07-02 11:23:23,858 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1248, loss: 0.1248 +2025-07-02 11:23:42,181 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 11:24:18,521 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:24:18,543 - pyskl - INFO - +top1_acc 0.9598 +top5_acc 0.9960 +2025-07-02 11:24:18,544 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9598, top5_acc: 0.9960 +2025-07-02 11:25:01,723 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:53, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1281, loss: 0.1281 +2025-07-02 11:25:19,900 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.1132, loss: 0.1132 +2025-07-02 11:25:37,821 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1207, loss: 0.1207 +2025-07-02 11:25:56,117 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1256, loss: 0.1256 +2025-07-02 11:26:13,609 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:38, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1241, loss: 0.1241 +2025-07-02 11:26:31,409 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1046, loss: 0.1046 +2025-07-02 11:26:49,372 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:36:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1104, loss: 0.1104 +2025-07-02 11:27:07,312 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 11:27:25,928 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 11:28:03,166 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:28:03,196 - pyskl - INFO - +top1_acc 0.9670 +top5_acc 0.9962 +2025-07-02 11:28:03,201 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_111.pth was removed +2025-07-02 11:28:03,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-07-02 11:28:03,410 - pyskl - INFO - Best top1_acc is 0.9670 at 116 epoch. +2025-07-02 11:28:03,412 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9670, top5_acc: 0.9962 +2025-07-02 11:28:45,908 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:35:05, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.1056, loss: 0.1056 +2025-07-02 11:29:04,253 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9981, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 11:29:22,003 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1213, loss: 0.1213 +2025-07-02 11:29:40,222 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:34:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1051, loss: 0.1051 +2025-07-02 11:29:58,217 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.1075, loss: 0.1075 +2025-07-02 11:30:16,458 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1343, loss: 0.1343 +2025-07-02 11:30:34,366 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1306, loss: 0.1306 +2025-07-02 11:30:52,595 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1393, loss: 0.1393 +2025-07-02 11:31:10,784 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 11:31:48,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:31:48,194 - pyskl - INFO - +top1_acc 0.9652 +top5_acc 0.9951 +2025-07-02 11:31:48,195 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9652, top5_acc: 0.9951 +2025-07-02 11:32:30,389 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:17, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.1019, loss: 0.1019 +2025-07-02 11:32:48,245 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0847, loss: 0.0847 +2025-07-02 11:33:06,244 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9969, loss_cls: 0.1102, loss: 0.1102 +2025-07-02 11:33:24,051 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.1018, loss: 0.1018 +2025-07-02 11:33:42,400 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:31:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0980, loss: 0.0980 +2025-07-02 11:34:00,213 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1209, loss: 0.1209 +2025-07-02 11:34:18,506 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 11:34:36,576 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:30:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1124, loss: 0.1124 +2025-07-02 11:34:54,908 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 11:35:32,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:35:32,025 - pyskl - INFO - +top1_acc 0.9686 +top5_acc 0.9965 +2025-07-02 11:35:32,029 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_116.pth was removed +2025-07-02 11:35:32,195 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2025-07-02 11:35:32,195 - pyskl - INFO - Best top1_acc is 0.9686 at 118 epoch. +2025-07-02 11:35:32,197 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9686, top5_acc: 0.9965 +2025-07-02 11:36:14,493 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:28, time: 0.423, data_time: 0.239, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1032, loss: 0.1032 +2025-07-02 11:36:32,621 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0978, loss: 0.0978 +2025-07-02 11:36:50,588 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 11:37:08,715 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1282, loss: 0.1282 +2025-07-02 11:37:27,162 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9994, loss_cls: 0.1245, loss: 0.1245 +2025-07-02 11:37:45,409 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1256, loss: 0.1256 +2025-07-02 11:38:03,051 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:35, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1049, loss: 0.1049 +2025-07-02 11:38:21,254 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 11:38:39,910 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 11:39:17,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:39:17,727 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9962 +2025-07-02 11:39:17,729 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9656, top5_acc: 0.9962 +2025-07-02 11:40:00,827 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:40, time: 0.431, data_time: 0.243, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 11:40:19,436 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:22, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0941, loss: 0.0941 +2025-07-02 11:40:37,414 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:26:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0895, loss: 0.0895 +2025-07-02 11:40:55,642 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 11:41:13,520 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0871, loss: 0.0871 +2025-07-02 11:41:31,355 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:25:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1061, loss: 0.1061 +2025-07-02 11:41:49,532 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1036, loss: 0.1036 +2025-07-02 11:42:07,706 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0808, loss: 0.0808 +2025-07-02 11:42:26,059 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 11:43:04,498 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:43:04,521 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9958 +2025-07-02 11:43:04,522 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9630, top5_acc: 0.9958 +2025-07-02 11:43:47,817 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:53, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0977, loss: 0.0977 +2025-07-02 11:44:05,997 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 11:44:23,952 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0746, loss: 0.0746 +2025-07-02 11:44:42,194 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 11:45:00,342 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 11:45:18,367 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0770, loss: 0.0770 +2025-07-02 11:45:36,297 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0863, loss: 0.0863 +2025-07-02 11:45:54,735 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 11:46:13,175 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 11:46:52,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:46:52,324 - pyskl - INFO - +top1_acc 0.9665 +top5_acc 0.9965 +2025-07-02 11:46:52,326 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9665, top5_acc: 0.9965 +2025-07-02 11:47:36,206 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:21:05, time: 0.439, data_time: 0.254, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0917, loss: 0.0917 +2025-07-02 11:47:54,241 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0956, loss: 0.0956 +2025-07-02 11:48:12,240 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0905, loss: 0.0905 +2025-07-02 11:48:30,414 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1195, loss: 0.1195 +2025-07-02 11:48:48,285 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0851, loss: 0.0851 +2025-07-02 11:49:06,314 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0848, loss: 0.0848 +2025-07-02 11:49:24,432 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 11:49:42,399 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0904, loss: 0.0904 +2025-07-02 11:50:00,899 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 11:50:38,502 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:50:38,534 - pyskl - INFO - +top1_acc 0.9706 +top5_acc 0.9964 +2025-07-02 11:50:38,541 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_118.pth was removed +2025-07-02 11:50:38,803 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-07-02 11:50:38,803 - pyskl - INFO - Best top1_acc is 0.9706 at 122 epoch. +2025-07-02 11:50:38,805 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9706, top5_acc: 0.9964 +2025-07-02 11:51:21,566 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:16, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0853, loss: 0.0853 +2025-07-02 11:51:39,721 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0710, loss: 0.0710 +2025-07-02 11:51:57,972 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0822, loss: 0.0822 +2025-07-02 11:52:16,465 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:20, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0793, loss: 0.0793 +2025-07-02 11:52:34,567 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:17:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0709, loss: 0.0709 +2025-07-02 11:52:52,664 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0766, loss: 0.0766 +2025-07-02 11:53:11,048 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 11:53:28,978 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:16:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0814, loss: 0.0814 +2025-07-02 11:53:47,545 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 11:54:25,586 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:54:25,615 - pyskl - INFO - +top1_acc 0.9690 +top5_acc 0.9965 +2025-07-02 11:54:25,616 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9690, top5_acc: 0.9965 +2025-07-02 11:55:09,649 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:29, time: 0.440, data_time: 0.252, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0908, loss: 0.0908 +2025-07-02 11:55:27,661 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0767, loss: 0.0767 +2025-07-02 11:55:45,899 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0623, loss: 0.0623 +2025-07-02 11:56:04,281 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0627, loss: 0.0627 +2025-07-02 11:56:22,476 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0596, loss: 0.0596 +2025-07-02 11:56:40,516 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 11:56:58,896 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0848, loss: 0.0848 +2025-07-02 11:57:16,861 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1094, loss: 0.1094 +2025-07-02 11:57:35,517 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 11:58:13,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:58:13,631 - pyskl - INFO - +top1_acc 0.9665 +top5_acc 0.9964 +2025-07-02 11:58:13,635 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9665, top5_acc: 0.9964 +2025-07-02 11:58:56,960 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:41, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 11:59:14,666 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 11:59:32,769 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:12:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0760, loss: 0.0760 +2025-07-02 11:59:51,048 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0827, loss: 0.0827 +2025-07-02 12:00:09,104 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0582, loss: 0.0582 +2025-07-02 12:00:27,415 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:11:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 12:00:45,585 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0575, loss: 0.0575 +2025-07-02 12:01:03,555 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 12:01:22,093 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 12:01:59,614 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:01:59,643 - pyskl - INFO - +top1_acc 0.9683 +top5_acc 0.9967 +2025-07-02 12:01:59,645 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9683, top5_acc: 0.9967 +2025-07-02 12:02:42,211 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:52, time: 0.426, data_time: 0.237, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 12:03:00,238 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0854, loss: 0.0854 +2025-07-02 12:03:17,972 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0737, loss: 0.0737 +2025-07-02 12:03:36,172 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0734, loss: 0.0734 +2025-07-02 12:03:54,361 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 12:04:12,127 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 12:04:30,190 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 12:04:48,205 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0764, loss: 0.0764 +2025-07-02 12:05:06,939 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 12:05:45,005 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:05:45,028 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9960 +2025-07-02 12:05:45,029 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9702, top5_acc: 0.9960 +2025-07-02 12:06:27,437 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:07:04, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 12:06:45,745 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0606, loss: 0.0606 +2025-07-02 12:07:03,749 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0645, loss: 0.0645 +2025-07-02 12:07:22,085 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 12:07:40,026 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 12:07:57,612 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0752, loss: 0.0752 +2025-07-02 12:08:15,408 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0711, loss: 0.0711 +2025-07-02 12:08:33,383 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 12:08:51,685 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 12:09:28,656 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:09:28,679 - pyskl - INFO - +top1_acc 0.9694 +top5_acc 0.9967 +2025-07-02 12:09:28,680 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9694, top5_acc: 0.9967 +2025-07-02 12:10:11,340 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:15, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0676, loss: 0.0676 +2025-07-02 12:10:29,685 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0684, loss: 0.0684 +2025-07-02 12:10:47,537 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 12:11:05,698 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0959, loss: 0.0959 +2025-07-02 12:11:23,427 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:03:00, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0572, loss: 0.0572 +2025-07-02 12:11:41,315 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0546, loss: 0.0546 +2025-07-02 12:11:59,367 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 12:12:17,607 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:02:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 12:12:36,013 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 12:13:14,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:13:14,313 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9962 +2025-07-02 12:13:14,314 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9691, top5_acc: 0.9962 +2025-07-02 12:13:56,806 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:27, time: 0.425, data_time: 0.239, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 12:14:15,094 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 12:14:33,251 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0504, loss: 0.0504 +2025-07-02 12:14:51,627 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:30, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 12:15:10,095 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 12:15:28,266 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 12:15:46,341 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0500, loss: 0.0500 +2025-07-02 12:16:04,356 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0559, loss: 0.0559 +2025-07-02 12:16:22,807 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 12:17:00,089 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:17:00,121 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9964 +2025-07-02 12:17:00,122 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9679, top5_acc: 0.9964 +2025-07-02 12:17:43,284 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:39, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0539, loss: 0.0539 +2025-07-02 12:18:01,666 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0678, loss: 0.0678 +2025-07-02 12:18:19,703 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:58:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0706, loss: 0.0706 +2025-07-02 12:18:37,573 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 12:18:55,912 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 12:19:14,028 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:57:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 12:19:32,171 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 12:19:50,272 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 12:20:08,675 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 12:20:46,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:20:46,416 - pyskl - INFO - +top1_acc 0.9704 +top5_acc 0.9958 +2025-07-02 12:20:46,417 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9704, top5_acc: 0.9958 +2025-07-02 12:21:29,764 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:51, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 12:21:47,893 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 12:22:05,802 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 12:22:23,729 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 12:22:42,005 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 12:23:00,157 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 12:23:18,178 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 12:23:36,185 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 12:23:54,764 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 12:24:32,219 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:24:32,242 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9962 +2025-07-02 12:24:32,246 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_122.pth was removed +2025-07-02 12:24:32,412 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2025-07-02 12:24:32,413 - pyskl - INFO - Best top1_acc is 0.9722 at 131 epoch. +2025-07-02 12:24:32,414 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9722, top5_acc: 0.9962 +2025-07-02 12:25:15,080 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:53:02, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0681, loss: 0.0681 +2025-07-02 12:25:33,364 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 12:25:51,368 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 12:26:09,407 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 12:26:27,552 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 12:26:45,642 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 12:27:04,167 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:09, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 12:27:22,231 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0567, loss: 0.0567 +2025-07-02 12:27:40,875 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 12:28:18,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:28:18,906 - pyskl - INFO - +top1_acc 0.9718 +top5_acc 0.9968 +2025-07-02 12:28:18,907 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9718, top5_acc: 0.9968 +2025-07-02 12:29:02,197 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:14, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0446, loss: 0.0446 +2025-07-02 12:29:20,544 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 12:29:38,770 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 12:29:56,973 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 12:30:15,246 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 12:30:33,392 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 12:30:51,288 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 12:31:09,242 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:48:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 12:31:27,625 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 12:32:04,631 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:32:04,660 - pyskl - INFO - +top1_acc 0.9734 +top5_acc 0.9969 +2025-07-02 12:32:04,665 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_131.pth was removed +2025-07-02 12:32:04,984 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 12:32:04,985 - pyskl - INFO - Best top1_acc is 0.9734 at 133 epoch. +2025-07-02 12:32:04,986 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9734, top5_acc: 0.9969 +2025-07-02 12:32:47,929 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:26, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 12:33:05,714 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 12:33:23,915 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 12:33:41,925 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 12:34:00,277 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 12:34:18,550 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 12:34:36,483 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 12:34:54,221 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 12:35:12,520 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 12:35:49,659 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:35:49,683 - pyskl - INFO - +top1_acc 0.9727 +top5_acc 0.9967 +2025-07-02 12:35:49,684 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9727, top5_acc: 0.9967 +2025-07-02 12:36:32,532 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:37, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 12:36:50,313 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0550, loss: 0.0550 +2025-07-02 12:37:08,767 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:44:00, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 12:37:27,166 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 12:37:45,549 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:22, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 12:38:03,641 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:43:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 12:38:21,912 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0394, loss: 0.0394 +2025-07-02 12:38:40,080 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 12:38:58,424 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 12:39:35,166 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:39:35,194 - pyskl - INFO - +top1_acc 0.9741 +top5_acc 0.9969 +2025-07-02 12:39:35,198 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_133.pth was removed +2025-07-02 12:39:35,411 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 12:39:35,411 - pyskl - INFO - Best top1_acc is 0.9741 at 135 epoch. +2025-07-02 12:39:35,413 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9741, top5_acc: 0.9969 +2025-07-02 12:40:18,616 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:49, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 12:40:36,987 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:30, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 12:40:54,945 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 12:41:13,265 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 12:41:31,304 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 12:41:49,111 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 12:42:07,029 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 12:42:24,666 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 12:42:42,973 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 12:43:20,832 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:43:20,860 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9969 +2025-07-02 12:43:20,861 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9722, top5_acc: 0.9969 +2025-07-02 12:44:04,762 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:39:01, time: 0.439, data_time: 0.253, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 12:44:22,955 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0588, loss: 0.0588 +2025-07-02 12:44:41,092 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 12:44:59,323 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:38:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0396, loss: 0.0396 +2025-07-02 12:45:17,300 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 12:45:35,869 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:26, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 12:45:53,893 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 12:46:11,675 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 12:46:30,169 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 12:47:08,033 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:47:08,068 - pyskl - INFO - +top1_acc 0.9737 +top5_acc 0.9964 +2025-07-02 12:47:08,070 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9737, top5_acc: 0.9964 +2025-07-02 12:47:51,183 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:12, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0505, loss: 0.0505 +2025-07-02 12:48:08,858 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 12:48:27,457 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:34, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 12:48:45,825 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:16, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 12:49:04,473 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:57, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 12:49:22,368 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 12:49:40,287 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 12:49:58,328 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:34:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 12:50:16,762 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 12:50:54,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:50:54,412 - pyskl - INFO - +top1_acc 0.9736 +top5_acc 0.9967 +2025-07-02 12:50:54,413 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9736, top5_acc: 0.9967 +2025-07-02 12:51:37,539 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:24, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 12:51:55,633 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 12:52:13,827 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 12:52:32,125 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 12:52:50,124 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 12:53:08,246 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 12:53:26,106 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 12:53:44,228 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 12:54:02,823 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 12:54:39,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:54:39,615 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9967 +2025-07-02 12:54:39,617 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9722, top5_acc: 0.9967 +2025-07-02 12:55:23,032 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:35, time: 0.434, data_time: 0.245, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 12:55:40,962 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 12:55:59,318 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0350, loss: 0.0350 +2025-07-02 12:56:17,664 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 12:56:36,295 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:20, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 12:56:54,188 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:29:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 12:57:12,155 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 12:57:30,128 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 12:57:48,912 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 12:58:25,969 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:58:25,992 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9965 +2025-07-02 12:58:25,993 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9726, top5_acc: 0.9965 +2025-07-02 12:59:09,772 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:47, time: 0.438, data_time: 0.252, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 12:59:27,859 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 12:59:46,033 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 13:00:04,227 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 13:00:22,293 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 13:00:40,426 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 13:00:58,341 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 13:01:16,709 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 13:01:35,276 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 13:02:12,275 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:02:12,303 - pyskl - INFO - +top1_acc 0.9744 +top5_acc 0.9969 +2025-07-02 13:02:12,307 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_135.pth was removed +2025-07-02 13:02:12,497 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2025-07-02 13:02:12,497 - pyskl - INFO - Best top1_acc is 0.9744 at 141 epoch. +2025-07-02 13:02:12,499 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9744, top5_acc: 0.9969 +2025-07-02 13:02:55,886 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:58, time: 0.434, data_time: 0.246, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 13:03:13,637 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 13:03:31,506 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 13:03:49,819 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:24:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 13:04:07,984 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 13:04:26,499 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 13:04:44,590 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 13:05:02,681 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 13:05:21,252 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 13:05:58,667 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:05:58,690 - pyskl - INFO - +top1_acc 0.9751 +top5_acc 0.9968 +2025-07-02 13:05:58,694 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_141.pth was removed +2025-07-02 13:05:58,860 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-07-02 13:05:58,861 - pyskl - INFO - Best top1_acc is 0.9751 at 142 epoch. +2025-07-02 13:05:58,862 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9751, top5_acc: 0.9968 +2025-07-02 13:06:42,219 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:10, time: 0.434, data_time: 0.243, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 13:07:00,237 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0289, loss: 0.0289 +2025-07-02 13:07:18,561 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 13:07:36,842 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0298, loss: 0.0298 +2025-07-02 13:07:54,873 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 13:08:12,960 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 13:08:31,216 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 13:08:49,274 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 13:09:07,876 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 13:09:45,564 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:09:45,593 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9968 +2025-07-02 13:09:45,594 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9750, top5_acc: 0.9968 +2025-07-02 13:10:28,547 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:21, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 13:10:46,385 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 13:11:04,343 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 13:11:22,441 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 13:11:40,946 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:06, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0360, loss: 0.0360 +2025-07-02 13:11:58,980 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 13:12:17,132 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0231, loss: 0.0231 +2025-07-02 13:12:35,343 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 13:12:53,977 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 13:13:31,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:13:31,172 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9967 +2025-07-02 13:13:31,179 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_142.pth was removed +2025-07-02 13:13:31,422 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2025-07-02 13:13:31,422 - pyskl - INFO - Best top1_acc is 0.9754 at 144 epoch. +2025-07-02 13:13:31,424 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9754, top5_acc: 0.9967 +2025-07-02 13:14:14,335 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:33, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 13:14:32,557 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 13:14:51,320 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:55, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 13:15:09,777 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0228, loss: 0.0228 +2025-07-02 13:15:27,913 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 13:15:45,950 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0497, loss: 0.0497 +2025-07-02 13:16:03,914 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 13:16:22,099 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 13:16:40,491 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 13:17:17,794 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:17:17,817 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9971 +2025-07-02 13:17:17,818 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9729, top5_acc: 0.9971 +2025-07-02 13:18:02,006 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:44, time: 0.442, data_time: 0.252, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 13:18:19,847 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 13:18:38,088 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 13:18:56,428 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 13:19:14,749 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 13:19:32,517 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 13:19:50,503 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 13:20:08,526 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 13:20:26,652 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 13:21:04,267 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:21:04,289 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9967 +2025-07-02 13:21:04,290 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9750, top5_acc: 0.9967 +2025-07-02 13:21:47,336 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:55, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 13:22:04,876 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:37, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 13:22:23,119 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 13:22:41,452 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 13:22:59,743 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0328, loss: 0.0328 +2025-07-02 13:23:18,206 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:21, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 13:23:36,284 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 13:23:54,042 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 13:24:12,849 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 13:24:50,048 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:24:50,076 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9967 +2025-07-02 13:24:50,077 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9745, top5_acc: 0.9967 +2025-07-02 13:25:34,945 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:07, time: 0.449, data_time: 0.261, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 13:25:53,041 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 13:26:10,978 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 13:26:29,477 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 13:26:47,536 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 13:27:05,464 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 13:27:23,964 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:14, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 13:27:42,091 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 13:28:00,667 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 13:28:38,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:28:38,196 - pyskl - INFO - +top1_acc 0.9751 +top5_acc 0.9965 +2025-07-02 13:28:38,197 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9751, top5_acc: 0.9965 +2025-07-02 13:29:21,339 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:18, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 13:29:39,790 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 13:29:58,365 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:41, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 13:30:16,974 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:22, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 13:30:35,252 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0260, loss: 0.0260 +2025-07-02 13:30:53,530 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 13:31:11,599 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 13:31:29,789 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 13:31:48,244 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 13:32:26,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:32:26,416 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9967 +2025-07-02 13:32:26,421 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_144.pth was removed +2025-07-02 13:32:26,622 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_149.pth. +2025-07-02 13:32:26,623 - pyskl - INFO - Best top1_acc is 0.9757 at 149 epoch. +2025-07-02 13:32:26,624 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9757, top5_acc: 0.9967 +2025-07-02 13:33:10,519 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.439, data_time: 0.253, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 13:33:28,067 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:11, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 13:33:46,424 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 13:34:04,495 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 13:34:22,567 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 13:34:40,482 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 13:34:58,736 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9994, top5_acc: 0.9994, loss_cls: 0.0162, loss: 0.0162 +2025-07-02 13:35:16,645 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0235, loss: 0.0235 +2025-07-02 13:35:34,724 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 13:36:11,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:36:11,615 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9969 +2025-07-02 13:36:11,616 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9752, top5_acc: 0.9969 +2025-07-02 13:36:19,761 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 13:39:56,844 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 13:39:56,844 - pyskl - INFO - top1_acc: 0.9747 +2025-07-02 13:39:56,845 - pyskl - INFO - top5_acc: 0.9964 +2025-07-02 13:39:56,845 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/jm/best_top1_acc_epoch_149.pth +2025-07-02 13:43:24,607 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 13:43:24,607 - pyskl - INFO - top1_acc: 0.9754 +2025-07-02 13:43:24,607 - pyskl - INFO - top5_acc: 0.9967 diff --git a/pku_mmd_xview/jm/20250702_041458.log.json b/pku_mmd_xview/jm/20250702_041458.log.json new file mode 100644 index 0000000000000000000000000000000000000000..033e726be7484ed305119bea03bf0f199f96d8f8 --- /dev/null +++ b/pku_mmd_xview/jm/20250702_041458.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.12.0\nOpenCV: 4.8.0\nMMCV: 1.5.0\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.3\npyskl: 0.1.0+", "seed": 1987253269, "config_name": "jm.py", "work_dir": "jm", "hook_msgs": {}} +{"mode": 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"loss": 0.02772, "time": 0.1807} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 2903, "data_time": 0.00021, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.03329, "loss": 0.03329, "time": 0.17915} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 2903, "data_time": 0.00021, "top1_acc": 0.99938, "top5_acc": 0.99938, "loss_cls": 0.01617, "loss": 0.01617, "time": 0.18252} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 2903, "data_time": 0.00035, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02346, "loss": 0.02346, "time": 0.17908} +{"mode": "val", "epoch": 150, "iter": 450, "lr": 0.0, "top1_acc": 0.97523, "top5_acc": 0.99694} diff --git a/pku_mmd_xview/jm/best_pred.pkl b/pku_mmd_xview/jm/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..6e0a9e7e6d76bd03d99001c6363085888a95336a --- /dev/null +++ b/pku_mmd_xview/jm/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:026c8d4197ba5b576d568c3c3ae93106d87753db17d03f14ac25cc8713a16318 +size 2537339 diff --git a/pku_mmd_xview/jm/best_top1_acc_epoch_149.pth b/pku_mmd_xview/jm/best_top1_acc_epoch_149.pth new file mode 100644 index 0000000000000000000000000000000000000000..cd0016fcab8a9e7e2e190a78898f8dffaf2a5453 --- /dev/null +++ b/pku_mmd_xview/jm/best_top1_acc_epoch_149.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:192aadb1126542102802de2470929bd853a7ad74bdf5b31a8fb073ee4bde9625 +size 32917105 diff --git a/pku_mmd_xview/jm/jm.py b/pku_mmd_xview/jm/jm.py new file mode 100644 index 0000000000000000000000000000000000000000..858673dbcdce426695078b4dfd96996c882261f5 --- /dev/null +++ b/pku_mmd_xview/jm/jm.py @@ -0,0 +1,98 @@ +modality = 'jm' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/jm' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['jm']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/k_1/20250702_041342.log b/pku_mmd_xview/k_1/20250702_041342.log new file mode 100644 index 0000000000000000000000000000000000000000..557ea2d5becfa83064778070ccf7fd433991d408 --- /dev/null +++ b/pku_mmd_xview/k_1/20250702_041342.log @@ -0,0 +1,2404 @@ +2025-07-02 04:13:42,237 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 04:13:42,494 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/k_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 04:13:42,494 - pyskl - INFO - Set random seed to 770290929, deterministic: False +2025-07-02 04:13:46,720 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-02 04:13:53,497 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 04:13:53,498 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1 +2025-07-02 04:13:53,498 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 04:13:53,498 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 04:13:53,498 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1 by HardDiskBackend. +2025-07-02 04:14:34,295 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:15:05, time: 0.408, data_time: 0.231, memory: 2902, top1_acc: 0.0581, top5_acc: 0.2350, loss_cls: 4.3033, loss: 4.3033 +2025-07-02 04:14:51,589 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:51:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.1144, top5_acc: 0.3969, loss_cls: 3.8794, loss: 3.8794 +2025-07-02 04:15:08,986 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:23:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1769, top5_acc: 0.5475, loss_cls: 3.4683, loss: 3.4683 +2025-07-02 04:15:26,124 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:38:16, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.2313, top5_acc: 0.6338, loss_cls: 3.1277, loss: 3.1277 +2025-07-02 04:15:43,419 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:11:40, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.2919, top5_acc: 0.7144, loss_cls: 2.8368, loss: 2.8368 +2025-07-02 04:16:00,799 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:54:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.3719, top5_acc: 0.7975, loss_cls: 2.5766, loss: 2.5766 +2025-07-02 04:16:18,665 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:43:07, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.3881, top5_acc: 0.8263, loss_cls: 2.4294, loss: 2.4294 +2025-07-02 04:16:36,579 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:34:53, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.4300, top5_acc: 0.8512, loss_cls: 2.2388, loss: 2.2388 +2025-07-02 04:16:54,608 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 04:17:33,978 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:17:34,006 - pyskl - INFO - +top1_acc 0.4827 +top5_acc 0.9335 +2025-07-02 04:17:34,194 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 04:17:34,194 - pyskl - INFO - Best top1_acc is 0.4827 at 1 epoch. +2025-07-02 04:17:34,196 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.4827, top5_acc: 0.9335 +2025-07-02 04:18:16,653 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:38:53, time: 0.425, data_time: 0.254, memory: 2902, top1_acc: 0.5062, top5_acc: 0.8844, loss_cls: 2.0486, loss: 2.0486 +2025-07-02 04:18:33,892 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:31:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5400, top5_acc: 0.9113, loss_cls: 1.9275, loss: 1.9275 +2025-07-02 04:18:51,298 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:26:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5500, top5_acc: 0.9231, loss_cls: 1.8351, loss: 1.8351 +2025-07-02 04:19:08,408 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:20:41, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.5919, top5_acc: 0.9200, loss_cls: 1.7431, loss: 1.7431 +2025-07-02 04:19:25,620 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:16:12, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.5763, top5_acc: 0.9225, loss_cls: 1.7367, loss: 1.7367 +2025-07-02 04:19:42,899 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:12:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6031, top5_acc: 0.9287, loss_cls: 1.6777, loss: 1.6777 +2025-07-02 04:20:00,282 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:09:09, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6188, top5_acc: 0.9300, loss_cls: 1.6428, loss: 1.6428 +2025-07-02 04:20:17,585 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:06:10, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6325, top5_acc: 0.9419, loss_cls: 1.6386, loss: 1.6386 +2025-07-02 04:20:35,275 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 04:21:13,292 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:21:13,320 - pyskl - INFO - +top1_acc 0.6459 +top5_acc 0.9594 +2025-07-02 04:21:13,324 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_1.pth was removed +2025-07-02 04:21:13,491 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 04:21:13,492 - pyskl - INFO - Best top1_acc is 0.6459 at 2 epoch. +2025-07-02 04:21:13,493 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.6459, top5_acc: 0.9594 +2025-07-02 04:21:55,190 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:09:45, time: 0.417, data_time: 0.244, memory: 2902, top1_acc: 0.6506, top5_acc: 0.9356, loss_cls: 1.5722, loss: 1.5722 +2025-07-02 04:22:12,423 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:07:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6587, top5_acc: 0.9463, loss_cls: 1.5038, loss: 1.5038 +2025-07-02 04:22:29,613 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:04:27, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.6575, top5_acc: 0.9431, loss_cls: 1.5021, loss: 1.5021 +2025-07-02 04:22:47,055 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:02:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6656, top5_acc: 0.9456, loss_cls: 1.4775, loss: 1.4775 +2025-07-02 04:23:04,365 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:00:18, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6769, top5_acc: 0.9481, loss_cls: 1.4453, loss: 1.4453 +2025-07-02 04:23:21,711 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:58:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6850, top5_acc: 0.9575, loss_cls: 1.3806, loss: 1.3806 +2025-07-02 04:23:39,299 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:56:52, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6987, top5_acc: 0.9525, loss_cls: 1.3483, loss: 1.3483 +2025-07-02 04:23:56,765 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:55:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7163, top5_acc: 0.9544, loss_cls: 1.3218, loss: 1.3218 +2025-07-02 04:24:14,698 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 04:24:52,542 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:24:52,565 - pyskl - INFO - +top1_acc 0.7159 +top5_acc 0.9784 +2025-07-02 04:24:52,569 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_2.pth was removed +2025-07-02 04:24:52,740 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 04:24:52,740 - pyskl - INFO - Best top1_acc is 0.7159 at 3 epoch. +2025-07-02 04:24:52,742 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7159, top5_acc: 0.9784 +2025-07-02 04:25:34,845 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:58:26, time: 0.421, data_time: 0.248, memory: 2902, top1_acc: 0.6994, top5_acc: 0.9450, loss_cls: 1.3762, loss: 1.3762 +2025-07-02 04:25:52,399 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:57:00, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7306, top5_acc: 0.9519, loss_cls: 1.2927, loss: 1.2927 +2025-07-02 04:26:09,701 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:55:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7281, top5_acc: 0.9563, loss_cls: 1.2440, loss: 1.2440 +2025-07-02 04:26:27,218 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:54:08, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7156, top5_acc: 0.9569, loss_cls: 1.3025, loss: 1.3025 +2025-07-02 04:26:45,198 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:53:12, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.7231, top5_acc: 0.9625, loss_cls: 1.2875, loss: 1.2875 +2025-07-02 04:27:02,944 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:52:09, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7331, top5_acc: 0.9600, loss_cls: 1.2363, loss: 1.2363 +2025-07-02 04:27:20,560 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:51:03, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7325, top5_acc: 0.9544, loss_cls: 1.2494, loss: 1.2494 +2025-07-02 04:27:38,285 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:50:05, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7350, top5_acc: 0.9544, loss_cls: 1.2534, loss: 1.2534 +2025-07-02 04:27:55,956 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 04:28:33,844 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:28:33,867 - pyskl - INFO - +top1_acc 0.7810 +top5_acc 0.9832 +2025-07-02 04:28:33,871 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_3.pth was removed +2025-07-02 04:28:34,033 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 04:28:34,033 - pyskl - INFO - Best top1_acc is 0.7810 at 4 epoch. +2025-07-02 04:28:34,035 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7810, top5_acc: 0.9832 +2025-07-02 04:29:15,931 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:52:17, time: 0.419, data_time: 0.247, memory: 2902, top1_acc: 0.7356, top5_acc: 0.9631, loss_cls: 1.2350, loss: 1.2350 +2025-07-02 04:29:33,323 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:51:06, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7400, top5_acc: 0.9619, loss_cls: 1.1956, loss: 1.1956 +2025-07-02 04:29:50,531 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:49:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7531, top5_acc: 0.9663, loss_cls: 1.1797, loss: 1.1797 +2025-07-02 04:30:07,944 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:48:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7525, top5_acc: 0.9706, loss_cls: 1.1064, loss: 1.1064 +2025-07-02 04:30:25,485 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:47:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7662, top5_acc: 0.9681, loss_cls: 1.1250, loss: 1.1250 +2025-07-02 04:30:42,976 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:46:53, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7781, top5_acc: 0.9681, loss_cls: 1.1127, loss: 1.1127 +2025-07-02 04:31:00,358 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:45:54, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7638, top5_acc: 0.9631, loss_cls: 1.1113, loss: 1.1113 +2025-07-02 04:31:17,542 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:44:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7681, top5_acc: 0.9600, loss_cls: 1.1339, loss: 1.1339 +2025-07-02 04:31:35,253 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 04:32:13,266 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:32:13,288 - pyskl - INFO - +top1_acc 0.8122 +top5_acc 0.9836 +2025-07-02 04:32:13,292 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_4.pth was removed +2025-07-02 04:32:13,455 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 04:32:13,456 - pyskl - INFO - Best top1_acc is 0.8122 at 5 epoch. +2025-07-02 04:32:13,457 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.8122, top5_acc: 0.9836 +2025-07-02 04:32:54,830 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:46:20, time: 0.414, data_time: 0.243, memory: 2902, top1_acc: 0.7662, top5_acc: 0.9669, loss_cls: 1.0936, loss: 1.0936 +2025-07-02 04:33:12,026 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:45:19, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7744, top5_acc: 0.9625, loss_cls: 1.1040, loss: 1.1040 +2025-07-02 04:33:28,910 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:44:11, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9744, loss_cls: 1.0059, loss: 1.0059 +2025-07-02 04:33:46,125 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:43:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9775, loss_cls: 1.0561, loss: 1.0561 +2025-07-02 04:34:03,354 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:42:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7831, top5_acc: 0.9700, loss_cls: 1.0521, loss: 1.0521 +2025-07-02 04:34:20,423 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:41:20, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9712, loss_cls: 1.0301, loss: 1.0301 +2025-07-02 04:34:37,604 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:40:27, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9656, loss_cls: 1.1187, loss: 1.1187 +2025-07-02 04:34:55,176 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:39:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7881, top5_acc: 0.9644, loss_cls: 1.0564, loss: 1.0564 +2025-07-02 04:35:12,809 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 04:35:49,648 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:35:49,670 - pyskl - INFO - +top1_acc 0.8275 +top5_acc 0.9854 +2025-07-02 04:35:49,674 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_5.pth was removed +2025-07-02 04:35:49,842 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 04:35:49,842 - pyskl - INFO - Best top1_acc is 0.8275 at 6 epoch. +2025-07-02 04:35:49,844 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8275, top5_acc: 0.9854 +2025-07-02 04:36:30,800 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:40:48, time: 0.409, data_time: 0.238, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9625, loss_cls: 1.0341, loss: 1.0341 +2025-07-02 04:36:48,391 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:40:05, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9694, loss_cls: 1.0241, loss: 1.0241 +2025-07-02 04:37:05,442 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:39:12, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9744, loss_cls: 0.9903, loss: 0.9903 +2025-07-02 04:37:22,791 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:38:26, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8244, top5_acc: 0.9769, loss_cls: 0.9208, loss: 0.9208 +2025-07-02 04:37:40,208 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:37:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7875, top5_acc: 0.9681, loss_cls: 1.0042, loss: 1.0042 +2025-07-02 04:37:57,810 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:37:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7706, top5_acc: 0.9675, loss_cls: 1.0497, loss: 1.0497 +2025-07-02 04:38:14,985 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:36:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7969, top5_acc: 0.9762, loss_cls: 1.0000, loss: 1.0000 +2025-07-02 04:38:32,124 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:35:31, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9731, loss_cls: 0.9552, loss: 0.9552 +2025-07-02 04:38:49,615 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 04:39:26,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:39:26,444 - pyskl - INFO - +top1_acc 0.8113 +top5_acc 0.9821 +2025-07-02 04:39:26,445 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8113, top5_acc: 0.9821 +2025-07-02 04:40:07,292 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:36:21, time: 0.408, data_time: 0.240, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9825, loss_cls: 0.9025, loss: 0.9025 +2025-07-02 04:40:24,657 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:35:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9738, loss_cls: 0.9194, loss: 0.9194 +2025-07-02 04:40:41,655 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:34:51, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9738, loss_cls: 0.9975, loss: 0.9975 +2025-07-02 04:40:58,772 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:34:06, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8113, top5_acc: 0.9794, loss_cls: 0.9161, loss: 0.9161 +2025-07-02 04:41:16,083 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:33:26, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9750, loss_cls: 0.9924, loss: 0.9924 +2025-07-02 04:41:33,394 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:32:46, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9719, loss_cls: 0.9459, loss: 0.9459 +2025-07-02 04:41:50,666 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:32:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9812, loss_cls: 0.8638, loss: 0.8638 +2025-07-02 04:42:07,899 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:31:26, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9738, loss_cls: 0.9708, loss: 0.9708 +2025-07-02 04:42:25,637 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 04:43:03,044 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:43:03,069 - pyskl - INFO - +top1_acc 0.8552 +top5_acc 0.9848 +2025-07-02 04:43:03,073 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_6.pth was removed +2025-07-02 04:43:03,229 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 04:43:03,229 - pyskl - INFO - Best top1_acc is 0.8552 at 8 epoch. +2025-07-02 04:43:03,231 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8552, top5_acc: 0.9848 +2025-07-02 04:43:44,516 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:32:15, time: 0.413, data_time: 0.240, memory: 2902, top1_acc: 0.8281, top5_acc: 0.9788, loss_cls: 0.8569, loss: 0.8569 +2025-07-02 04:44:01,512 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:31:31, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9731, loss_cls: 0.9237, loss: 0.9237 +2025-07-02 04:44:18,890 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:30:54, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9812, loss_cls: 0.8773, loss: 0.8773 +2025-07-02 04:44:35,732 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:30:09, time: 0.168, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9712, loss_cls: 0.9168, loss: 0.9168 +2025-07-02 04:44:53,186 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:29:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9700, loss_cls: 0.9460, loss: 0.9460 +2025-07-02 04:45:10,476 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:28:58, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8031, top5_acc: 0.9781, loss_cls: 0.9259, loss: 0.9259 +2025-07-02 04:45:27,764 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:28:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9806, loss_cls: 0.8677, loss: 0.8677 +2025-07-02 04:45:45,241 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:27:49, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9712, loss_cls: 0.8888, loss: 0.8888 +2025-07-02 04:46:02,918 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 04:46:39,636 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:46:39,658 - pyskl - INFO - +top1_acc 0.8556 +top5_acc 0.9887 +2025-07-02 04:46:39,663 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_8.pth was removed +2025-07-02 04:46:39,824 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. +2025-07-02 04:46:39,825 - pyskl - INFO - Best top1_acc is 0.8556 at 9 epoch. +2025-07-02 04:46:39,826 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8556, top5_acc: 0.9887 +2025-07-02 04:47:21,634 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:28:37, time: 0.418, data_time: 0.245, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9750, loss_cls: 0.8259, loss: 0.8259 +2025-07-02 04:47:39,343 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:28:07, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9806, loss_cls: 0.8688, loss: 0.8688 +2025-07-02 04:47:56,959 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:27:37, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9781, loss_cls: 0.8706, loss: 0.8706 +2025-07-02 04:48:14,433 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:27:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9831, loss_cls: 0.8149, loss: 0.8149 +2025-07-02 04:48:32,257 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:26:38, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9719, loss_cls: 0.9560, loss: 0.9560 +2025-07-02 04:48:49,912 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:26:09, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9756, loss_cls: 0.8836, loss: 0.8836 +2025-07-02 04:49:07,441 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:25:38, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9812, loss_cls: 0.8431, loss: 0.8431 +2025-07-02 04:49:24,703 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:25:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9762, loss_cls: 0.8815, loss: 0.8815 +2025-07-02 04:49:42,625 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 04:50:19,901 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:50:19,930 - pyskl - INFO - +top1_acc 0.8559 +top5_acc 0.9885 +2025-07-02 04:50:19,934 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_9.pth was removed +2025-07-02 04:50:20,126 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. +2025-07-02 04:50:20,126 - pyskl - INFO - Best top1_acc is 0.8559 at 10 epoch. +2025-07-02 04:50:20,128 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8559, top5_acc: 0.9885 +2025-07-02 04:51:01,611 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:25:38, time: 0.415, data_time: 0.241, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9719, loss_cls: 0.8649, loss: 0.8649 +2025-07-02 04:51:18,834 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:25:03, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.8330, loss: 0.8330 +2025-07-02 04:51:36,244 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:24:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9794, loss_cls: 0.8152, loss: 0.8152 +2025-07-02 04:51:53,433 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:23:57, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9812, loss_cls: 0.7679, loss: 0.7679 +2025-07-02 04:52:11,349 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:23:32, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8200, top5_acc: 0.9794, loss_cls: 0.8824, loss: 0.8824 +2025-07-02 04:52:28,614 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:22:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9781, loss_cls: 0.8817, loss: 0.8817 +2025-07-02 04:52:45,984 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:22:28, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9725, loss_cls: 0.8308, loss: 0.8308 +2025-07-02 04:53:03,290 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:21:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9788, loss_cls: 0.8326, loss: 0.8326 +2025-07-02 04:53:20,803 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 04:53:58,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:53:58,329 - pyskl - INFO - +top1_acc 0.8709 +top5_acc 0.9905 +2025-07-02 04:53:58,333 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_10.pth was removed +2025-07-02 04:53:58,563 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 04:53:58,563 - pyskl - INFO - Best top1_acc is 0.8709 at 11 epoch. +2025-07-02 04:53:58,565 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8709, top5_acc: 0.9905 +2025-07-02 04:54:40,895 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:22:35, time: 0.423, data_time: 0.251, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9756, loss_cls: 0.8871, loss: 0.8871 +2025-07-02 04:54:58,300 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:22:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9794, loss_cls: 0.8262, loss: 0.8262 +2025-07-02 04:55:15,417 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:21:30, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9819, loss_cls: 0.8015, loss: 0.8015 +2025-07-02 04:55:32,398 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:20:55, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9831, loss_cls: 0.8244, loss: 0.8244 +2025-07-02 04:55:49,794 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:20:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9831, loss_cls: 0.7671, loss: 0.7671 +2025-07-02 04:56:06,880 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:19:51, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9819, loss_cls: 0.7994, loss: 0.7994 +2025-07-02 04:56:24,149 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:19:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9806, loss_cls: 0.8177, loss: 0.8177 +2025-07-02 04:56:41,412 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:18:50, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9800, loss_cls: 0.7891, loss: 0.7891 +2025-07-02 04:56:58,932 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 04:57:36,794 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:57:36,818 - pyskl - INFO - +top1_acc 0.8681 +top5_acc 0.9918 +2025-07-02 04:57:36,819 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8681, top5_acc: 0.9918 +2025-07-02 04:58:18,748 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:19:17, time: 0.419, data_time: 0.247, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 0.7569, loss: 0.7569 +2025-07-02 04:58:36,167 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:18:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 0.7686, loss: 0.7686 +2025-07-02 04:58:53,847 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:18:22, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9800, loss_cls: 0.8041, loss: 0.8041 +2025-07-02 04:59:11,001 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:17:50, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 0.7359, loss: 0.7359 +2025-07-02 04:59:28,180 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:17:19, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9775, loss_cls: 0.8184, loss: 0.8184 +2025-07-02 04:59:45,486 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:16:50, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9800, loss_cls: 0.7890, loss: 0.7890 +2025-07-02 05:00:02,632 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:16:18, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8269, top5_acc: 0.9806, loss_cls: 0.8175, loss: 0.8175 +2025-07-02 05:00:20,026 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:15:50, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8281, top5_acc: 0.9712, loss_cls: 0.8361, loss: 0.8361 +2025-07-02 05:00:37,692 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 05:01:14,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:01:14,872 - pyskl - INFO - +top1_acc 0.8962 +top5_acc 0.9908 +2025-07-02 05:01:14,878 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_11.pth was removed +2025-07-02 05:01:15,207 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-02 05:01:15,208 - pyskl - INFO - Best top1_acc is 0.8962 at 13 epoch. +2025-07-02 05:01:15,209 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8962, top5_acc: 0.9908 +2025-07-02 05:01:56,794 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:16:09, time: 0.416, data_time: 0.244, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9756, loss_cls: 0.7665, loss: 0.7665 +2025-07-02 05:02:13,986 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:15:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 0.7346, loss: 0.7346 +2025-07-02 05:02:31,163 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:15:09, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 0.7016, loss: 0.7016 +2025-07-02 05:02:48,320 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:14:38, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 0.7130, loss: 0.7130 +2025-07-02 05:03:05,714 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:14:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9794, loss_cls: 0.8008, loss: 0.8008 +2025-07-02 05:03:23,268 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:13:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9762, loss_cls: 0.8344, loss: 0.8344 +2025-07-02 05:03:40,463 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:13:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9831, loss_cls: 0.7557, loss: 0.7557 +2025-07-02 05:03:58,119 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:12:50, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9850, loss_cls: 0.7646, loss: 0.7646 +2025-07-02 05:04:15,926 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 05:04:53,780 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:04:53,802 - pyskl - INFO - +top1_acc 0.8353 +top5_acc 0.9876 +2025-07-02 05:04:53,803 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8353, top5_acc: 0.9876 +2025-07-02 05:05:35,026 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:13:02, time: 0.412, data_time: 0.237, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9788, loss_cls: 0.7490, loss: 0.7490 +2025-07-02 05:05:52,621 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:12:37, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9838, loss_cls: 0.7809, loss: 0.7809 +2025-07-02 05:06:10,055 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:12:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9881, loss_cls: 0.7047, loss: 0.7047 +2025-07-02 05:06:27,371 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:11:42, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9800, loss_cls: 0.7672, loss: 0.7672 +2025-07-02 05:06:44,769 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:11:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9819, loss_cls: 0.7635, loss: 0.7635 +2025-07-02 05:07:02,110 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:10:48, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9838, loss_cls: 0.7353, loss: 0.7353 +2025-07-02 05:07:19,161 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:10:18, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7175, loss: 0.7175 +2025-07-02 05:07:36,350 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:09:49, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9719, loss_cls: 0.7946, loss: 0.7946 +2025-07-02 05:07:53,999 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 05:08:31,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:08:31,268 - pyskl - INFO - +top1_acc 0.9052 +top5_acc 0.9917 +2025-07-02 05:08:31,276 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_13.pth was removed +2025-07-02 05:08:31,481 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-02 05:08:31,482 - pyskl - INFO - Best top1_acc is 0.9052 at 15 epoch. +2025-07-02 05:08:31,484 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.9052, top5_acc: 0.9917 +2025-07-02 05:09:13,307 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:10:03, time: 0.418, data_time: 0.246, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 0.6751, loss: 0.6751 +2025-07-02 05:09:30,702 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:09:37, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9825, loss_cls: 0.6802, loss: 0.6802 +2025-07-02 05:09:48,121 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:09:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 0.7204, loss: 0.7204 +2025-07-02 05:10:05,163 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:08:41, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9831, loss_cls: 0.7402, loss: 0.7402 +2025-07-02 05:10:22,342 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:08:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 0.7251, loss: 0.7251 +2025-07-02 05:10:39,594 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:07:45, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9825, loss_cls: 0.7297, loss: 0.7297 +2025-07-02 05:10:56,604 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:07:16, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9762, loss_cls: 0.7770, loss: 0.7770 +2025-07-02 05:11:13,579 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:06:47, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 0.7791, loss: 0.7791 +2025-07-02 05:11:31,231 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 05:12:08,384 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:12:08,408 - pyskl - INFO - +top1_acc 0.8873 +top5_acc 0.9904 +2025-07-02 05:12:08,409 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8873, top5_acc: 0.9904 +2025-07-02 05:12:50,491 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:07:00, time: 0.421, data_time: 0.249, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9850, loss_cls: 0.7226, loss: 0.7226 +2025-07-02 05:13:07,599 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:06:31, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 0.6800, loss: 0.6800 +2025-07-02 05:13:24,834 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:06:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9812, loss_cls: 0.6945, loss: 0.6945 +2025-07-02 05:13:42,117 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:05:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9806, loss_cls: 0.7674, loss: 0.7674 +2025-07-02 05:13:59,271 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:05:10, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9800, loss_cls: 0.7189, loss: 0.7189 +2025-07-02 05:14:16,507 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:04:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9831, loss_cls: 0.6961, loss: 0.6961 +2025-07-02 05:14:33,472 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:04:15, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 0.6755, loss: 0.6755 +2025-07-02 05:14:50,794 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:03:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9781, loss_cls: 0.7013, loss: 0.7013 +2025-07-02 05:15:08,653 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 05:15:47,002 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:15:47,024 - pyskl - INFO - +top1_acc 0.9033 +top5_acc 0.9930 +2025-07-02 05:15:47,025 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.9033, top5_acc: 0.9930 +2025-07-02 05:16:28,224 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:03:52, time: 0.412, data_time: 0.243, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 0.7043, loss: 0.7043 +2025-07-02 05:16:45,555 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:03:26, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 0.6793, loss: 0.6793 +2025-07-02 05:17:02,920 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:03:01, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 0.6705, loss: 0.6705 +2025-07-02 05:17:19,971 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:02:33, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9800, loss_cls: 0.7249, loss: 0.7249 +2025-07-02 05:17:37,328 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:02:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9806, loss_cls: 0.7314, loss: 0.7314 +2025-07-02 05:17:54,861 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:01:44, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9825, loss_cls: 0.7536, loss: 0.7536 +2025-07-02 05:18:12,019 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:01:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9831, loss_cls: 0.7127, loss: 0.7127 +2025-07-02 05:18:29,339 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:00:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9800, loss_cls: 0.7204, loss: 0.7204 +2025-07-02 05:18:47,070 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 05:19:24,627 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:19:24,653 - pyskl - INFO - +top1_acc 0.8987 +top5_acc 0.9918 +2025-07-02 05:19:24,654 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8987, top5_acc: 0.9918 +2025-07-02 05:20:06,495 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:00:58, time: 0.418, data_time: 0.246, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9862, loss_cls: 0.6829, loss: 0.6829 +2025-07-02 05:20:23,757 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:00:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9850, loss_cls: 0.6703, loss: 0.6703 +2025-07-02 05:20:40,808 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:00:05, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9825, loss_cls: 0.7083, loss: 0.7083 +2025-07-02 05:20:57,805 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 5:59:38, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9881, loss_cls: 0.6840, loss: 0.6840 +2025-07-02 05:21:14,913 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 5:59:11, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9812, loss_cls: 0.6973, loss: 0.6973 +2025-07-02 05:21:32,316 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 5:58:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9794, loss_cls: 0.7453, loss: 0.7453 +2025-07-02 05:21:49,275 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:58:20, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9825, loss_cls: 0.7088, loss: 0.7088 +2025-07-02 05:22:06,338 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:57:53, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 0.7119, loss: 0.7119 +2025-07-02 05:22:23,937 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 05:23:01,320 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:23:01,342 - pyskl - INFO - +top1_acc 0.9047 +top5_acc 0.9917 +2025-07-02 05:23:01,343 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.9047, top5_acc: 0.9917 +2025-07-02 05:23:43,566 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:57:59, time: 0.422, data_time: 0.248, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9869, loss_cls: 0.6952, loss: 0.6952 +2025-07-02 05:24:00,828 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:57:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9788, loss_cls: 0.7098, loss: 0.7098 +2025-07-02 05:24:17,959 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:57:08, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9881, loss_cls: 0.6517, loss: 0.6517 +2025-07-02 05:24:35,141 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:56:42, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 0.7116, loss: 0.7116 +2025-07-02 05:24:52,314 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:56:17, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9781, loss_cls: 0.7096, loss: 0.7096 +2025-07-02 05:25:09,644 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:55:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9781, loss_cls: 0.7238, loss: 0.7238 +2025-07-02 05:25:26,848 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:55:27, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9894, loss_cls: 0.6263, loss: 0.6263 +2025-07-02 05:25:44,220 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:55:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6542, loss: 0.6542 +2025-07-02 05:26:01,990 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 05:26:40,257 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:26:40,289 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9893 +2025-07-02 05:26:40,290 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.8913, top5_acc: 0.9893 +2025-07-02 05:27:21,624 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:55:01, time: 0.413, data_time: 0.244, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.6078, loss: 0.6078 +2025-07-02 05:27:38,766 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:54:36, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 0.6798, loss: 0.6798 +2025-07-02 05:27:56,110 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:54:12, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9794, loss_cls: 0.6791, loss: 0.6791 +2025-07-02 05:28:13,479 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:53:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9869, loss_cls: 0.6207, loss: 0.6207 +2025-07-02 05:28:30,740 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:53:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9850, loss_cls: 0.7193, loss: 0.7193 +2025-07-02 05:28:48,645 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:53:03, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9825, loss_cls: 0.7110, loss: 0.7110 +2025-07-02 05:29:06,065 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:52:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9819, loss_cls: 0.6610, loss: 0.6610 +2025-07-02 05:29:23,252 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:52:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9819, loss_cls: 0.6754, loss: 0.6754 +2025-07-02 05:29:41,182 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 05:30:18,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:30:18,804 - pyskl - INFO - +top1_acc 0.9043 +top5_acc 0.9926 +2025-07-02 05:30:18,805 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.9043, top5_acc: 0.9926 +2025-07-02 05:31:00,615 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:52:14, time: 0.418, data_time: 0.248, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9900, loss_cls: 0.6691, loss: 0.6691 +2025-07-02 05:31:18,211 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:51:51, time: 0.176, data_time: 0.001, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 05:31:35,723 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:51:29, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9825, loss_cls: 0.6563, loss: 0.6563 +2025-07-02 05:31:53,197 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:51:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.6189, loss: 0.6189 +2025-07-02 05:32:10,189 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:50:40, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9781, loss_cls: 0.6586, loss: 0.6586 +2025-07-02 05:32:27,399 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:50:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9844, loss_cls: 0.7208, loss: 0.7208 +2025-07-02 05:32:44,660 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:49:52, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9844, loss_cls: 0.6446, loss: 0.6446 +2025-07-02 05:33:01,983 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:49:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9844, loss_cls: 0.7156, loss: 0.7156 +2025-07-02 05:33:19,868 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 05:33:57,636 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:33:57,669 - pyskl - INFO - +top1_acc 0.8831 +top5_acc 0.9900 +2025-07-02 05:33:57,670 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8831, top5_acc: 0.9900 +2025-07-02 05:34:40,034 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:49:28, time: 0.424, data_time: 0.247, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9794, loss_cls: 0.6669, loss: 0.6669 +2025-07-02 05:34:57,294 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:49:04, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.5976, loss: 0.5976 +2025-07-02 05:35:14,498 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:48:40, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9844, loss_cls: 0.6645, loss: 0.6645 +2025-07-02 05:35:31,678 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:48:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9825, loss_cls: 0.6954, loss: 0.6954 +2025-07-02 05:35:48,871 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:47:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5833, loss: 0.5833 +2025-07-02 05:36:06,271 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:47:29, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9862, loss_cls: 0.5934, loss: 0.5934 +2025-07-02 05:36:23,696 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:47:06, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9850, loss_cls: 0.6772, loss: 0.6772 +2025-07-02 05:36:41,048 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:46:43, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 0.6437, loss: 0.6437 +2025-07-02 05:36:58,908 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 05:37:36,756 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:37:36,779 - pyskl - INFO - +top1_acc 0.9064 +top5_acc 0.9940 +2025-07-02 05:37:36,783 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_15.pth was removed +2025-07-02 05:37:36,952 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_23.pth. +2025-07-02 05:37:36,952 - pyskl - INFO - Best top1_acc is 0.9064 at 23 epoch. +2025-07-02 05:37:36,954 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.9064, top5_acc: 0.9940 +2025-07-02 05:38:18,634 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:46:37, time: 0.417, data_time: 0.245, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9862, loss_cls: 0.6615, loss: 0.6615 +2025-07-02 05:38:35,803 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:46:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 0.6750, loss: 0.6750 +2025-07-02 05:38:53,008 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:45:49, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6459, loss: 0.6459 +2025-07-02 05:39:10,704 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:45:28, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 0.5913, loss: 0.5913 +2025-07-02 05:39:27,938 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:45:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9812, loss_cls: 0.6836, loss: 0.6836 +2025-07-02 05:39:45,459 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:44:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9881, loss_cls: 0.6651, loss: 0.6651 +2025-07-02 05:40:03,000 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:44:20, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 0.7016, loss: 0.7016 +2025-07-02 05:40:20,402 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:43:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 0.7137, loss: 0.7137 +2025-07-02 05:40:38,302 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 05:41:16,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:41:16,797 - pyskl - INFO - +top1_acc 0.9058 +top5_acc 0.9918 +2025-07-02 05:41:16,799 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9058, top5_acc: 0.9918 +2025-07-02 05:41:58,951 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:43:53, time: 0.421, data_time: 0.246, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9850, loss_cls: 0.6613, loss: 0.6613 +2025-07-02 05:42:16,371 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:43:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9800, loss_cls: 0.7451, loss: 0.7451 +2025-07-02 05:42:33,730 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:43:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 0.6462, loss: 0.6462 +2025-07-02 05:42:50,899 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:42:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 0.6787, loss: 0.6787 +2025-07-02 05:43:07,814 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:42:19, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9812, loss_cls: 0.6661, loss: 0.6661 +2025-07-02 05:43:25,388 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:41:58, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9888, loss_cls: 0.6371, loss: 0.6371 +2025-07-02 05:43:42,990 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:41:36, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9788, loss_cls: 0.6939, loss: 0.6939 +2025-07-02 05:44:00,238 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:41:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 0.6758, loss: 0.6758 +2025-07-02 05:44:17,950 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 05:44:55,511 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:44:55,534 - pyskl - INFO - +top1_acc 0.9114 +top5_acc 0.9937 +2025-07-02 05:44:55,538 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_23.pth was removed +2025-07-02 05:44:55,707 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_25.pth. +2025-07-02 05:44:55,707 - pyskl - INFO - Best top1_acc is 0.9114 at 25 epoch. +2025-07-02 05:44:55,709 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.9114, top5_acc: 0.9937 +2025-07-02 05:45:37,482 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:41:05, time: 0.418, data_time: 0.243, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9831, loss_cls: 0.6730, loss: 0.6730 +2025-07-02 05:45:55,037 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:40:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9862, loss_cls: 0.5954, loss: 0.5954 +2025-07-02 05:46:12,526 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:40:22, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9881, loss_cls: 0.6512, loss: 0.6512 +2025-07-02 05:46:29,856 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:39:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9881, loss_cls: 0.6222, loss: 0.6222 +2025-07-02 05:46:47,180 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:39:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8944, top5_acc: 0.9838, loss_cls: 0.5904, loss: 0.5904 +2025-07-02 05:47:04,538 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:39:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 0.6760, loss: 0.6760 +2025-07-02 05:47:21,796 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:38:51, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9856, loss_cls: 0.6698, loss: 0.6698 +2025-07-02 05:47:39,278 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:38:29, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9856, loss_cls: 0.6373, loss: 0.6373 +2025-07-02 05:47:57,149 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 05:48:34,791 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:48:34,814 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9946 +2025-07-02 05:48:34,818 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_25.pth was removed +2025-07-02 05:48:34,985 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_26.pth. +2025-07-02 05:48:34,985 - pyskl - INFO - Best top1_acc is 0.9221 at 26 epoch. +2025-07-02 05:48:34,986 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.9221, top5_acc: 0.9946 +2025-07-02 05:49:17,848 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:38:25, time: 0.429, data_time: 0.249, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9825, loss_cls: 0.6259, loss: 0.6259 +2025-07-02 05:49:35,490 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:38:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.6048, loss: 0.6048 +2025-07-02 05:49:53,382 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:37:44, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5619, loss: 0.5619 +2025-07-02 05:50:10,749 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:37:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6306, loss: 0.6306 +2025-07-02 05:50:28,150 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:36:59, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.5901, loss: 0.5901 +2025-07-02 05:50:45,741 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:36:38, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 0.6583, loss: 0.6583 +2025-07-02 05:51:02,987 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:36:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9819, loss_cls: 0.6524, loss: 0.6524 +2025-07-02 05:51:20,192 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:35:52, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9831, loss_cls: 0.6328, loss: 0.6328 +2025-07-02 05:51:37,975 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 05:52:15,872 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:52:15,895 - pyskl - INFO - +top1_acc 0.8940 +top5_acc 0.9921 +2025-07-02 05:52:15,896 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.8940, top5_acc: 0.9921 +2025-07-02 05:52:57,808 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:35:43, time: 0.419, data_time: 0.242, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.5672, loss: 0.5672 +2025-07-02 05:53:15,215 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:35:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5882, loss: 0.5882 +2025-07-02 05:53:32,504 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:34:58, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 0.6478, loss: 0.6478 +2025-07-02 05:53:49,686 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:34:35, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 0.5990, loss: 0.5990 +2025-07-02 05:54:06,978 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:34:13, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8856, top5_acc: 0.9900, loss_cls: 0.6004, loss: 0.6004 +2025-07-02 05:54:24,689 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:33:52, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9812, loss_cls: 0.6856, loss: 0.6856 +2025-07-02 05:54:41,786 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:33:29, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 0.6188, loss: 0.6188 +2025-07-02 05:54:59,144 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:33:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9869, loss_cls: 0.6446, loss: 0.6446 +2025-07-02 05:55:16,925 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 05:55:55,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:55:55,934 - pyskl - INFO - +top1_acc 0.8961 +top5_acc 0.9890 +2025-07-02 05:55:55,935 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8961, top5_acc: 0.9890 +2025-07-02 05:56:37,964 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:32:56, time: 0.420, data_time: 0.247, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9862, loss_cls: 0.6158, loss: 0.6158 +2025-07-02 05:56:55,529 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:32:35, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5333, loss: 0.5333 +2025-07-02 05:57:12,889 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:32:13, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5456, loss: 0.5456 +2025-07-02 05:57:30,540 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:31:52, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.6113, loss: 0.6113 +2025-07-02 05:57:47,646 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:31:29, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8831, top5_acc: 0.9844, loss_cls: 0.6167, loss: 0.6167 +2025-07-02 05:58:05,139 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:31:08, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 0.6271, loss: 0.6271 +2025-07-02 05:58:22,319 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:30:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.6297, loss: 0.6297 +2025-07-02 05:58:39,614 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:30:23, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8838, top5_acc: 0.9831, loss_cls: 0.6187, loss: 0.6187 +2025-07-02 05:58:57,310 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 05:59:35,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:59:35,698 - pyskl - INFO - +top1_acc 0.9148 +top5_acc 0.9928 +2025-07-02 05:59:35,699 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9148, top5_acc: 0.9928 +2025-07-02 06:00:18,740 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:30:16, time: 0.430, data_time: 0.249, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9862, loss_cls: 0.5969, loss: 0.5969 +2025-07-02 06:00:36,981 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:29:57, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5435, loss: 0.5435 +2025-07-02 06:00:55,293 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:29:39, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.6179, loss: 0.6179 +2025-07-02 06:01:13,349 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:29:20, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9838, loss_cls: 0.6332, loss: 0.6332 +2025-07-02 06:01:30,984 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:29:00, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9888, loss_cls: 0.5727, loss: 0.5727 +2025-07-02 06:01:48,977 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:28:40, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9831, loss_cls: 0.6115, loss: 0.6115 +2025-07-02 06:02:06,874 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:28:21, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 0.5795, loss: 0.5795 +2025-07-02 06:02:24,579 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:28:00, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9888, loss_cls: 0.6233, loss: 0.6233 +2025-07-02 06:02:43,231 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 06:03:21,254 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:03:21,282 - pyskl - INFO - +top1_acc 0.9178 +top5_acc 0.9944 +2025-07-02 06:03:21,284 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.9178, top5_acc: 0.9944 +2025-07-02 06:04:03,779 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:27:49, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9838, loss_cls: 0.6531, loss: 0.6531 +2025-07-02 06:04:21,696 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:27:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9869, loss_cls: 0.6302, loss: 0.6302 +2025-07-02 06:04:39,769 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:27:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9825, loss_cls: 0.6962, loss: 0.6962 +2025-07-02 06:04:57,833 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:26:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9894, loss_cls: 0.6704, loss: 0.6704 +2025-07-02 06:05:15,558 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:26:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9819, loss_cls: 0.6795, loss: 0.6795 +2025-07-02 06:05:33,445 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:26:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9856, loss_cls: 0.6120, loss: 0.6120 +2025-07-02 06:05:51,231 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:25:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9806, loss_cls: 0.6716, loss: 0.6716 +2025-07-02 06:06:08,786 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:25:30, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9831, loss_cls: 0.6918, loss: 0.6918 +2025-07-02 06:06:26,850 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 06:07:04,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:07:04,969 - pyskl - INFO - +top1_acc 0.9080 +top5_acc 0.9903 +2025-07-02 06:07:04,971 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.9080, top5_acc: 0.9903 +2025-07-02 06:07:47,768 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:25:19, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 0.6629, loss: 0.6629 +2025-07-02 06:08:06,098 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:25:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 0.6222, loss: 0.6222 +2025-07-02 06:08:23,845 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:24:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9844, loss_cls: 0.6171, loss: 0.6171 +2025-07-02 06:08:41,672 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:24:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8625, top5_acc: 0.9906, loss_cls: 0.6527, loss: 0.6527 +2025-07-02 06:08:59,321 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:24:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 0.6231, loss: 0.6231 +2025-07-02 06:09:17,482 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:23:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6148, loss: 0.6148 +2025-07-02 06:09:35,315 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:23:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.6229, loss: 0.6229 +2025-07-02 06:09:52,970 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:23:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9844, loss_cls: 0.6062, loss: 0.6062 +2025-07-02 06:10:11,341 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 06:10:48,341 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:10:48,369 - pyskl - INFO - +top1_acc 0.9357 +top5_acc 0.9946 +2025-07-02 06:10:48,374 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_26.pth was removed +2025-07-02 06:10:48,564 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_32.pth. +2025-07-02 06:10:48,564 - pyskl - INFO - Best top1_acc is 0.9357 at 32 epoch. +2025-07-02 06:10:48,566 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.9357, top5_acc: 0.9946 +2025-07-02 06:11:31,210 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:22:49, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 0.6057, loss: 0.6057 +2025-07-02 06:11:49,114 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:22:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5800, loss: 0.5800 +2025-07-02 06:12:07,023 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:22:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9912, loss_cls: 0.6074, loss: 0.6074 +2025-07-02 06:12:24,860 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:21:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9838, loss_cls: 0.6660, loss: 0.6660 +2025-07-02 06:12:42,385 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:21:28, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6775, loss: 0.6775 +2025-07-02 06:13:00,419 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:21:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6794, loss: 0.6794 +2025-07-02 06:13:18,872 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:20:51, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9862, loss_cls: 0.5704, loss: 0.5704 +2025-07-02 06:13:36,504 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:20:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6749, loss: 0.6749 +2025-07-02 06:13:55,008 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 06:14:32,297 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:14:32,319 - pyskl - INFO - +top1_acc 0.9318 +top5_acc 0.9942 +2025-07-02 06:14:32,320 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.9318, top5_acc: 0.9942 +2025-07-02 06:15:15,046 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:20:17, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 0.6090, loss: 0.6090 +2025-07-02 06:15:32,736 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:19:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9906, loss_cls: 0.6184, loss: 0.6184 +2025-07-02 06:15:50,844 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:19:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9850, loss_cls: 0.5878, loss: 0.5878 +2025-07-02 06:16:08,676 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:19:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 0.6116, loss: 0.6116 +2025-07-02 06:16:26,252 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:18:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 06:16:44,636 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:18:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.6618, loss: 0.6618 +2025-07-02 06:17:02,563 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:18:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9894, loss_cls: 0.6326, loss: 0.6326 +2025-07-02 06:17:20,393 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:18:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9856, loss_cls: 0.5959, loss: 0.5959 +2025-07-02 06:17:39,101 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 06:18:17,217 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:18:17,249 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9911 +2025-07-02 06:18:17,250 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.8905, top5_acc: 0.9911 +2025-07-02 06:18:59,437 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:17:44, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9862, loss_cls: 0.6485, loss: 0.6485 +2025-07-02 06:19:17,253 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:17:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9869, loss_cls: 0.5941, loss: 0.5941 +2025-07-02 06:19:35,287 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:17:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9869, loss_cls: 0.6486, loss: 0.6486 +2025-07-02 06:19:53,272 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:16:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9900, loss_cls: 0.6138, loss: 0.6138 +2025-07-02 06:20:11,093 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:16:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5796, loss: 0.5796 +2025-07-02 06:20:28,931 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:16:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5603, loss: 0.5603 +2025-07-02 06:20:46,947 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:15:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9875, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 06:21:04,593 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:15:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.6123, loss: 0.6123 +2025-07-02 06:21:22,954 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 06:22:00,208 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:22:00,231 - pyskl - INFO - +top1_acc 0.9221 +top5_acc 0.9940 +2025-07-02 06:22:00,232 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9221, top5_acc: 0.9940 +2025-07-02 06:22:42,618 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:15:09, time: 0.424, data_time: 0.244, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9862, loss_cls: 0.5637, loss: 0.5637 +2025-07-02 06:23:00,656 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:14:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 0.5866, loss: 0.5866 +2025-07-02 06:23:18,751 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:14:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5583, loss: 0.5583 +2025-07-02 06:23:36,947 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:14:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5402, loss: 0.5402 +2025-07-02 06:23:54,764 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:13:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9850, loss_cls: 0.6090, loss: 0.6090 +2025-07-02 06:24:12,519 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:13:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5813, loss: 0.5813 +2025-07-02 06:24:30,429 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:13:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.5834, loss: 0.5834 +2025-07-02 06:24:48,088 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:12:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9850, loss_cls: 0.6328, loss: 0.6328 +2025-07-02 06:25:06,024 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 06:25:43,249 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:25:43,272 - pyskl - INFO - +top1_acc 0.9283 +top5_acc 0.9951 +2025-07-02 06:25:43,273 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9283, top5_acc: 0.9951 +2025-07-02 06:26:25,049 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:12:33, time: 0.418, data_time: 0.239, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9888, loss_cls: 0.5572, loss: 0.5572 +2025-07-02 06:26:43,136 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:12:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9919, loss_cls: 0.6084, loss: 0.6084 +2025-07-02 06:27:01,442 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:11:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9825, loss_cls: 0.5653, loss: 0.5653 +2025-07-02 06:27:19,509 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:11:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5906, loss: 0.5906 +2025-07-02 06:27:37,281 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:11:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9881, loss_cls: 0.6041, loss: 0.6041 +2025-07-02 06:27:54,992 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:10:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5825, loss: 0.5825 +2025-07-02 06:28:13,327 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:10:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.6218, loss: 0.6218 +2025-07-02 06:28:31,367 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:10:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.6455, loss: 0.6455 +2025-07-02 06:28:49,635 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 06:29:27,924 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:29:27,954 - pyskl - INFO - +top1_acc 0.9167 +top5_acc 0.9943 +2025-07-02 06:29:27,955 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9167, top5_acc: 0.9943 +2025-07-02 06:30:10,710 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:10:01, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9919, loss_cls: 0.5485, loss: 0.5485 +2025-07-02 06:30:28,739 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:09:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9925, loss_cls: 0.5558, loss: 0.5558 +2025-07-02 06:30:46,708 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:09:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9888, loss_cls: 0.5927, loss: 0.5927 +2025-07-02 06:31:04,741 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:09:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.6178, loss: 0.6178 +2025-07-02 06:31:22,441 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:08:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5668, loss: 0.5668 +2025-07-02 06:31:40,222 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:08:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9919, loss_cls: 0.5544, loss: 0.5544 +2025-07-02 06:31:58,248 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:08:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 0.6421, loss: 0.6421 +2025-07-02 06:32:16,320 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:07:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9850, loss_cls: 0.5841, loss: 0.5841 +2025-07-02 06:32:34,473 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 06:33:11,125 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:33:11,149 - pyskl - INFO - +top1_acc 0.9104 +top5_acc 0.9943 +2025-07-02 06:33:11,150 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9104, top5_acc: 0.9943 +2025-07-02 06:33:54,087 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:07:28, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9888, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 06:34:11,896 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:07:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9844, loss_cls: 0.5770, loss: 0.5770 +2025-07-02 06:34:30,043 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:06:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5890, loss: 0.5890 +2025-07-02 06:34:48,145 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:06:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 0.5484, loss: 0.5484 +2025-07-02 06:35:06,359 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:06:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 06:35:24,183 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:05:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9919, loss_cls: 0.5743, loss: 0.5743 +2025-07-02 06:35:42,252 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:05:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4656, loss: 0.4656 +2025-07-02 06:36:00,367 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:05:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9912, loss_cls: 0.5744, loss: 0.5744 +2025-07-02 06:36:18,838 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 06:36:56,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:36:56,556 - pyskl - INFO - +top1_acc 0.8940 +top5_acc 0.9922 +2025-07-02 06:36:56,557 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.8940, top5_acc: 0.9922 +2025-07-02 06:37:38,785 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:04:53, time: 0.422, data_time: 0.241, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9856, loss_cls: 0.5881, loss: 0.5881 +2025-07-02 06:37:56,515 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:04:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5382, loss: 0.5382 +2025-07-02 06:38:14,515 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:04:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9912, loss_cls: 0.5712, loss: 0.5712 +2025-07-02 06:38:32,400 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:03:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5350, loss: 0.5350 +2025-07-02 06:38:50,343 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:03:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9875, loss_cls: 0.6319, loss: 0.6319 +2025-07-02 06:39:08,304 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:03:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9856, loss_cls: 0.6386, loss: 0.6386 +2025-07-02 06:39:25,898 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:02:54, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5415, loss: 0.5415 +2025-07-02 06:39:43,639 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:02:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9881, loss_cls: 0.5587, loss: 0.5587 +2025-07-02 06:40:01,371 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 06:40:38,772 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:40:38,795 - pyskl - INFO - +top1_acc 0.9361 +top5_acc 0.9958 +2025-07-02 06:40:38,800 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_32.pth was removed +2025-07-02 06:40:38,964 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. +2025-07-02 06:40:38,964 - pyskl - INFO - Best top1_acc is 0.9361 at 40 epoch. +2025-07-02 06:40:38,966 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9361, top5_acc: 0.9958 +2025-07-02 06:41:21,522 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:02:15, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9931, loss_cls: 0.5391, loss: 0.5391 +2025-07-02 06:41:39,425 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:01:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5505, loss: 0.5505 +2025-07-02 06:41:57,680 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:01:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5733, loss: 0.5733 +2025-07-02 06:42:15,763 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:01:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5893, loss: 0.5893 +2025-07-02 06:42:33,636 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:00:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 06:42:51,350 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:00:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.5418, loss: 0.5418 +2025-07-02 06:43:09,280 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:00:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5555, loss: 0.5555 +2025-07-02 06:43:27,243 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 4:59:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 0.6190, loss: 0.6190 +2025-07-02 06:43:45,740 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 06:44:24,134 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:44:24,157 - pyskl - INFO - +top1_acc 0.9250 +top5_acc 0.9943 +2025-07-02 06:44:24,158 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9250, top5_acc: 0.9943 +2025-07-02 06:45:07,781 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 4:59:41, time: 0.436, data_time: 0.249, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 0.5568, loss: 0.5568 +2025-07-02 06:45:25,536 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 4:59:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9869, loss_cls: 0.5711, loss: 0.5711 +2025-07-02 06:45:43,429 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 4:59:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9925, loss_cls: 0.5098, loss: 0.5098 +2025-07-02 06:46:01,375 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:58:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5247, loss: 0.5247 +2025-07-02 06:46:19,268 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:58:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 0.5683, loss: 0.5683 +2025-07-02 06:46:37,025 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:58:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5802, loss: 0.5802 +2025-07-02 06:46:54,673 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:57:42, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.5100, loss: 0.5100 +2025-07-02 06:47:12,729 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:57:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9844, loss_cls: 0.5877, loss: 0.5877 +2025-07-02 06:47:30,736 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 06:48:08,408 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:48:08,432 - pyskl - INFO - +top1_acc 0.9300 +top5_acc 0.9953 +2025-07-02 06:48:08,433 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9300, top5_acc: 0.9953 +2025-07-02 06:48:51,719 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:57:04, time: 0.433, data_time: 0.250, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9925, loss_cls: 0.5178, loss: 0.5178 +2025-07-02 06:49:09,692 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:56:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9919, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 06:49:27,547 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:56:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5725, loss: 0.5725 +2025-07-02 06:49:45,610 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:56:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9919, loss_cls: 0.5457, loss: 0.5457 +2025-07-02 06:50:03,784 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:55:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 0.4630, loss: 0.4630 +2025-07-02 06:50:21,732 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:55:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9912, loss_cls: 0.5704, loss: 0.5704 +2025-07-02 06:50:40,245 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:55:09, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9900, loss_cls: 0.5819, loss: 0.5819 +2025-07-02 06:50:58,205 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:54:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9894, loss_cls: 0.5793, loss: 0.5793 +2025-07-02 06:51:16,446 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 06:51:54,343 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:51:54,375 - pyskl - INFO - +top1_acc 0.9147 +top5_acc 0.9940 +2025-07-02 06:51:54,376 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9147, top5_acc: 0.9940 +2025-07-02 06:52:36,891 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:54:28, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5930, loss: 0.5930 +2025-07-02 06:52:54,640 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:54:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9888, loss_cls: 0.5261, loss: 0.5261 +2025-07-02 06:53:12,755 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:53:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.5275, loss: 0.5275 +2025-07-02 06:53:30,815 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:53:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5245, loss: 0.5245 +2025-07-02 06:53:48,841 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:53:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 0.5426, loss: 0.5426 +2025-07-02 06:54:06,558 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:52:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9925, loss_cls: 0.5300, loss: 0.5300 +2025-07-02 06:54:24,552 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:52:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9888, loss_cls: 0.5565, loss: 0.5565 +2025-07-02 06:54:42,617 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:52:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5424, loss: 0.5424 +2025-07-02 06:55:00,990 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 06:55:38,364 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:55:38,388 - pyskl - INFO - +top1_acc 0.9310 +top5_acc 0.9944 +2025-07-02 06:55:38,389 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9310, top5_acc: 0.9944 +2025-07-02 06:56:21,136 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:51:50, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4683, loss: 0.4683 +2025-07-02 06:56:38,937 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:51:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5286, loss: 0.5286 +2025-07-02 06:56:56,882 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:51:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9950, loss_cls: 0.5276, loss: 0.5276 +2025-07-02 06:57:14,618 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:50:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.5194, loss: 0.5194 +2025-07-02 06:57:32,539 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:50:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 0.5615, loss: 0.5615 +2025-07-02 06:57:50,370 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:50:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5617, loss: 0.5617 +2025-07-02 06:58:08,589 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:49:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5179, loss: 0.5179 +2025-07-02 06:58:26,371 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:49:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5480, loss: 0.5480 +2025-07-02 06:58:44,583 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 06:59:21,917 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:59:21,939 - pyskl - INFO - +top1_acc 0.9302 +top5_acc 0.9957 +2025-07-02 06:59:21,940 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9302, top5_acc: 0.9957 +2025-07-02 07:00:04,112 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:49:10, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 0.5272, loss: 0.5272 +2025-07-02 07:00:22,104 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:48:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5099, loss: 0.5099 +2025-07-02 07:00:39,940 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:48:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4910, loss: 0.4910 +2025-07-02 07:00:57,847 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:48:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5590, loss: 0.5590 +2025-07-02 07:01:15,780 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:47:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9856, loss_cls: 0.5647, loss: 0.5647 +2025-07-02 07:01:33,688 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:47:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4837, loss: 0.4837 +2025-07-02 07:01:51,858 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:47:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9962, loss_cls: 0.5143, loss: 0.5143 +2025-07-02 07:02:09,919 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:46:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9875, loss_cls: 0.5890, loss: 0.5890 +2025-07-02 07:02:28,408 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 07:03:05,879 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:03:05,902 - pyskl - INFO - +top1_acc 0.9244 +top5_acc 0.9946 +2025-07-02 07:03:05,903 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9244, top5_acc: 0.9946 +2025-07-02 07:03:49,652 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:46:34, time: 0.437, data_time: 0.251, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 0.4976, loss: 0.4976 +2025-07-02 07:04:07,669 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:46:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9900, loss_cls: 0.4922, loss: 0.4922 +2025-07-02 07:04:25,916 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:45:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9912, loss_cls: 0.5362, loss: 0.5362 +2025-07-02 07:04:43,996 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:45:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9938, loss_cls: 0.4914, loss: 0.4914 +2025-07-02 07:05:01,871 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:45:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9919, loss_cls: 0.4960, loss: 0.4960 +2025-07-02 07:05:19,779 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:44:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.5796, loss: 0.5796 +2025-07-02 07:05:37,808 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:44:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5259, loss: 0.5259 +2025-07-02 07:05:55,891 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:44:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.5781, loss: 0.5781 +2025-07-02 07:06:14,171 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 07:06:51,588 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:06:51,611 - pyskl - INFO - +top1_acc 0.9421 +top5_acc 0.9964 +2025-07-02 07:06:51,615 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_40.pth was removed +2025-07-02 07:06:51,776 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2025-07-02 07:06:51,776 - pyskl - INFO - Best top1_acc is 0.9421 at 47 epoch. +2025-07-02 07:06:51,778 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9421, top5_acc: 0.9964 +2025-07-02 07:07:35,052 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:43:57, time: 0.433, data_time: 0.250, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9900, loss_cls: 0.4416, loss: 0.4416 +2025-07-02 07:07:52,897 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:43:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9950, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 07:08:10,632 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:43:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.5013, loss: 0.5013 +2025-07-02 07:08:28,231 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:42:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9856, loss_cls: 0.5610, loss: 0.5610 +2025-07-02 07:08:46,171 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:42:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5216, loss: 0.5216 +2025-07-02 07:09:04,148 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:42:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9900, loss_cls: 0.5401, loss: 0.5401 +2025-07-02 07:09:22,239 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:41:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5242, loss: 0.5242 +2025-07-02 07:09:40,088 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:41:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5592, loss: 0.5592 +2025-07-02 07:09:58,410 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 07:10:35,176 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:10:35,205 - pyskl - INFO - +top1_acc 0.9231 +top5_acc 0.9939 +2025-07-02 07:10:35,206 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9231, top5_acc: 0.9939 +2025-07-02 07:11:17,568 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:41:15, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9925, loss_cls: 0.5329, loss: 0.5329 +2025-07-02 07:11:35,755 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:40:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9931, loss_cls: 0.4634, loss: 0.4634 +2025-07-02 07:11:53,479 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:40:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 0.5029, loss: 0.5029 +2025-07-02 07:12:11,448 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:40:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9894, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 07:12:29,217 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:39:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.5185, loss: 0.5185 +2025-07-02 07:12:47,274 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:39:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9856, loss_cls: 0.5781, loss: 0.5781 +2025-07-02 07:13:05,114 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:39:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4816, loss: 0.4816 +2025-07-02 07:13:22,744 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:38:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9881, loss_cls: 0.5719, loss: 0.5719 +2025-07-02 07:13:41,033 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 07:14:18,723 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:14:18,752 - pyskl - INFO - +top1_acc 0.9350 +top5_acc 0.9953 +2025-07-02 07:14:18,754 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9350, top5_acc: 0.9953 +2025-07-02 07:15:00,509 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:38:32, time: 0.418, data_time: 0.237, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4622, loss: 0.4622 +2025-07-02 07:15:18,460 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:38:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5178, loss: 0.5178 +2025-07-02 07:15:36,333 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:37:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4863, loss: 0.4863 +2025-07-02 07:15:54,421 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:37:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.4423, loss: 0.4423 +2025-07-02 07:16:12,375 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:37:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 0.5126, loss: 0.5126 +2025-07-02 07:16:29,916 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:36:54, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4638, loss: 0.4638 +2025-07-02 07:16:47,876 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:36:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9881, loss_cls: 0.4645, loss: 0.4645 +2025-07-02 07:17:05,678 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:36:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9869, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 07:17:24,048 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 07:18:01,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:18:01,764 - pyskl - INFO - +top1_acc 0.9364 +top5_acc 0.9951 +2025-07-02 07:18:01,765 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9364, top5_acc: 0.9951 +2025-07-02 07:18:44,972 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:35:52, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9856, loss_cls: 0.4981, loss: 0.4981 +2025-07-02 07:19:03,018 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:35:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9988, loss_cls: 0.4553, loss: 0.4553 +2025-07-02 07:19:21,082 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:35:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9944, loss_cls: 0.4219, loss: 0.4219 +2025-07-02 07:19:39,517 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:34:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9894, loss_cls: 0.5195, loss: 0.5195 +2025-07-02 07:19:57,790 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:34:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.5104, loss: 0.5104 +2025-07-02 07:20:15,315 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:34:16, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4874, loss: 0.4874 +2025-07-02 07:20:34,127 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:33:58, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9856, loss_cls: 0.5121, loss: 0.5121 +2025-07-02 07:20:52,068 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:33:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 07:21:10,734 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 07:21:48,162 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:21:48,184 - pyskl - INFO - +top1_acc 0.9328 +top5_acc 0.9942 +2025-07-02 07:21:48,185 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9328, top5_acc: 0.9942 +2025-07-02 07:22:30,807 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:33:14, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.5132, loss: 0.5132 +2025-07-02 07:22:48,953 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:32:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9894, loss_cls: 0.5018, loss: 0.5018 +2025-07-02 07:23:07,237 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:32:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9912, loss_cls: 0.5018, loss: 0.5018 +2025-07-02 07:23:25,147 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:32:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 0.5040, loss: 0.5040 +2025-07-02 07:23:42,895 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:31:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9931, loss_cls: 0.5092, loss: 0.5092 +2025-07-02 07:24:00,652 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:31:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9894, loss_cls: 0.4881, loss: 0.4881 +2025-07-02 07:24:18,728 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:31:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9900, loss_cls: 0.4767, loss: 0.4767 +2025-07-02 07:24:36,461 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:30:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5497, loss: 0.5497 +2025-07-02 07:24:54,796 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 07:25:31,854 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:25:31,878 - pyskl - INFO - +top1_acc 0.9411 +top5_acc 0.9961 +2025-07-02 07:25:31,880 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9411, top5_acc: 0.9961 +2025-07-02 07:26:14,506 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:30:33, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9912, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 07:26:32,676 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:30:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5467, loss: 0.5467 +2025-07-02 07:26:50,125 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:29:53, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4475, loss: 0.4475 +2025-07-02 07:27:08,326 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:29:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.4190, loss: 0.4190 +2025-07-02 07:27:26,131 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:29:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4903, loss: 0.4903 +2025-07-02 07:27:43,975 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:28:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9881, loss_cls: 0.4989, loss: 0.4989 +2025-07-02 07:28:01,684 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:28:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5548, loss: 0.5548 +2025-07-02 07:28:19,774 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:28:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9894, loss_cls: 0.5059, loss: 0.5059 +2025-07-02 07:28:38,002 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 07:29:15,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:29:15,751 - pyskl - INFO - +top1_acc 0.9398 +top5_acc 0.9940 +2025-07-02 07:29:15,752 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9398, top5_acc: 0.9940 +2025-07-02 07:29:58,357 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:27:51, time: 0.426, data_time: 0.247, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4498, loss: 0.4498 +2025-07-02 07:30:16,243 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:27:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4687, loss: 0.4687 +2025-07-02 07:30:34,147 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:27:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.5133, loss: 0.5133 +2025-07-02 07:30:51,880 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:26:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.4999, loss: 0.4999 +2025-07-02 07:31:10,213 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:26:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9925, loss_cls: 0.4287, loss: 0.4287 +2025-07-02 07:31:27,844 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:26:13, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.4872, loss: 0.4872 +2025-07-02 07:31:45,795 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:25:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.5651, loss: 0.5651 +2025-07-02 07:32:03,490 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:25:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9875, loss_cls: 0.5419, loss: 0.5419 +2025-07-02 07:32:21,738 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 07:32:59,273 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:32:59,295 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9960 +2025-07-02 07:32:59,296 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9420, top5_acc: 0.9960 +2025-07-02 07:33:41,440 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:25:07, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4946, loss: 0.4946 +2025-07-02 07:33:59,347 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:24:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4593, loss: 0.4593 +2025-07-02 07:34:16,929 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:24:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4846, loss: 0.4846 +2025-07-02 07:34:34,890 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:24:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4502, loss: 0.4502 +2025-07-02 07:34:52,723 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:23:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9900, loss_cls: 0.4776, loss: 0.4776 +2025-07-02 07:35:10,303 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:23:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9881, loss_cls: 0.5093, loss: 0.5093 +2025-07-02 07:35:27,884 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:23:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.5166, loss: 0.5166 +2025-07-02 07:35:45,610 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:22:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4486, loss: 0.4486 +2025-07-02 07:36:03,935 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 07:36:41,446 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:36:41,468 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9942 +2025-07-02 07:36:41,469 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9393, top5_acc: 0.9942 +2025-07-02 07:37:24,450 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:22:23, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 0.4430, loss: 0.4430 +2025-07-02 07:37:42,305 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:22:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4325, loss: 0.4325 +2025-07-02 07:38:00,341 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:21:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9875, loss_cls: 0.4550, loss: 0.4550 +2025-07-02 07:38:18,301 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:21:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.4617, loss: 0.4617 +2025-07-02 07:38:36,476 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:21:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4860, loss: 0.4860 +2025-07-02 07:38:54,493 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:20:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9900, loss_cls: 0.4842, loss: 0.4842 +2025-07-02 07:39:11,988 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:20:27, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9894, loss_cls: 0.4915, loss: 0.4915 +2025-07-02 07:39:30,001 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:20:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9888, loss_cls: 0.4718, loss: 0.4718 +2025-07-02 07:39:48,367 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 07:40:26,799 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:40:26,828 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9957 +2025-07-02 07:40:26,832 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_47.pth was removed +2025-07-02 07:40:27,026 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-02 07:40:27,026 - pyskl - INFO - Best top1_acc is 0.9496 at 56 epoch. +2025-07-02 07:40:27,028 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9496, top5_acc: 0.9957 +2025-07-02 07:41:09,540 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:19:41, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.4013, loss: 0.4013 +2025-07-02 07:41:27,288 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:19:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4361, loss: 0.4361 +2025-07-02 07:41:44,998 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:19:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9925, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 07:42:02,820 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:18:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9925, loss_cls: 0.3935, loss: 0.3935 +2025-07-02 07:42:20,712 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:18:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4373, loss: 0.4373 +2025-07-02 07:42:38,636 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:18:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4716, loss: 0.4716 +2025-07-02 07:42:56,312 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:17:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4298, loss: 0.4298 +2025-07-02 07:43:13,996 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:17:24, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5111, loss: 0.5111 +2025-07-02 07:43:32,129 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 07:44:09,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:44:09,699 - pyskl - INFO - +top1_acc 0.9420 +top5_acc 0.9958 +2025-07-02 07:44:09,700 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9420, top5_acc: 0.9958 +2025-07-02 07:44:52,789 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:16:58, time: 0.431, data_time: 0.250, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9969, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 07:45:10,787 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:16:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4622, loss: 0.4622 +2025-07-02 07:45:28,547 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:16:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9938, loss_cls: 0.4695, loss: 0.4695 +2025-07-02 07:45:46,488 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:15:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9975, loss_cls: 0.4095, loss: 0.4095 +2025-07-02 07:46:04,500 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:15:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9912, loss_cls: 0.4661, loss: 0.4661 +2025-07-02 07:46:22,369 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:15:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9862, loss_cls: 0.4659, loss: 0.4659 +2025-07-02 07:46:40,135 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:15:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4639, loss: 0.4639 +2025-07-02 07:46:57,890 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:14:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4727, loss: 0.4727 +2025-07-02 07:47:16,277 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 07:47:53,423 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:47:53,445 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9951 +2025-07-02 07:47:53,446 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9442, top5_acc: 0.9951 +2025-07-02 07:48:36,613 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:14:15, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9912, loss_cls: 0.4578, loss: 0.4578 +2025-07-02 07:48:54,794 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:13:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 07:49:12,890 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:13:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9869, loss_cls: 0.4307, loss: 0.4307 +2025-07-02 07:49:30,737 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:13:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.4214, loss: 0.4214 +2025-07-02 07:49:48,440 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:12:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4390, loss: 0.4390 +2025-07-02 07:50:06,665 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:12:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9931, loss_cls: 0.4796, loss: 0.4796 +2025-07-02 07:50:24,613 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:12:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4576, loss: 0.4576 +2025-07-02 07:50:41,971 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:12:00, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9869, loss_cls: 0.4784, loss: 0.4784 +2025-07-02 07:51:00,542 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 07:51:38,000 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:51:38,022 - pyskl - INFO - +top1_acc 0.9292 +top5_acc 0.9951 +2025-07-02 07:51:38,023 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9292, top5_acc: 0.9951 +2025-07-02 07:52:20,759 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:11:32, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 0.3871, loss: 0.3871 +2025-07-02 07:52:38,765 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:11:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.4945, loss: 0.4945 +2025-07-02 07:52:56,572 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:10:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9925, loss_cls: 0.5100, loss: 0.5100 +2025-07-02 07:53:14,293 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:10:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4396, loss: 0.4396 +2025-07-02 07:53:32,319 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:10:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4352, loss: 0.4352 +2025-07-02 07:53:50,070 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:09:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.4125, loss: 0.4125 +2025-07-02 07:54:07,911 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:09:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 0.5439, loss: 0.5439 +2025-07-02 07:54:25,519 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:09:16, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9862, loss_cls: 0.4623, loss: 0.4623 +2025-07-02 07:54:44,091 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 07:55:21,546 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:55:21,568 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9961 +2025-07-02 07:55:21,568 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9464, top5_acc: 0.9961 +2025-07-02 07:56:04,555 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:08:49, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4271, loss: 0.4271 +2025-07-02 07:56:22,650 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:08:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4247, loss: 0.4247 +2025-07-02 07:56:40,720 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:08:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4220, loss: 0.4220 +2025-07-02 07:56:58,316 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:07:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9912, loss_cls: 0.4069, loss: 0.4069 +2025-07-02 07:57:16,243 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:07:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9894, loss_cls: 0.4439, loss: 0.4439 +2025-07-02 07:57:34,155 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:07:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5311, loss: 0.5311 +2025-07-02 07:57:52,038 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:06:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4586, loss: 0.4586 +2025-07-02 07:58:09,692 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:06:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4263, loss: 0.4263 +2025-07-02 07:58:27,867 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 07:59:05,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:59:05,147 - pyskl - INFO - +top1_acc 0.9475 +top5_acc 0.9951 +2025-07-02 07:59:05,149 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9475, top5_acc: 0.9951 +2025-07-02 07:59:47,427 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:06:05, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4547, loss: 0.4547 +2025-07-02 08:00:05,243 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:05:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4261, loss: 0.4261 +2025-07-02 08:00:23,382 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:05:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 08:00:41,088 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:05:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4456, loss: 0.4456 +2025-07-02 08:00:58,996 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:04:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4214, loss: 0.4214 +2025-07-02 08:01:16,806 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:04:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9944, loss_cls: 0.4022, loss: 0.4022 +2025-07-02 08:01:34,429 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:04:08, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.4113, loss: 0.4113 +2025-07-02 08:01:52,067 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:03:48, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4820, loss: 0.4820 +2025-07-02 08:02:10,015 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 08:02:47,277 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:02:47,307 - pyskl - INFO - +top1_acc 0.9398 +top5_acc 0.9949 +2025-07-02 08:02:47,308 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9398, top5_acc: 0.9949 +2025-07-02 08:03:30,602 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:03:21, time: 0.433, data_time: 0.245, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9888, loss_cls: 0.4572, loss: 0.4572 +2025-07-02 08:03:48,444 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:03:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3812, loss: 0.3812 +2025-07-02 08:04:06,332 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:02:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4328, loss: 0.4328 +2025-07-02 08:04:24,261 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:02:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9919, loss_cls: 0.4564, loss: 0.4564 +2025-07-02 08:04:42,272 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:02:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9894, loss_cls: 0.4483, loss: 0.4483 +2025-07-02 08:05:00,069 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:01:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9912, loss_cls: 0.4448, loss: 0.4448 +2025-07-02 08:05:17,666 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:01:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4287, loss: 0.4287 +2025-07-02 08:05:35,400 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:01:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5281, loss: 0.5281 +2025-07-02 08:05:53,593 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 08:06:30,644 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:06:30,667 - pyskl - INFO - +top1_acc 0.9446 +top5_acc 0.9953 +2025-07-02 08:06:30,668 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9446, top5_acc: 0.9953 +2025-07-02 08:07:12,824 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:00:36, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4072, loss: 0.4072 +2025-07-02 08:07:30,580 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:00:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9906, loss_cls: 0.4230, loss: 0.4230 +2025-07-02 08:07:48,492 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 3:59:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3338, loss: 0.3338 +2025-07-02 08:08:06,389 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 3:59:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4067, loss: 0.4067 +2025-07-02 08:08:24,232 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 3:59:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9869, loss_cls: 0.4629, loss: 0.4629 +2025-07-02 08:08:42,013 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 3:58:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4460, loss: 0.4460 +2025-07-02 08:08:59,879 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:58:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3732, loss: 0.3732 +2025-07-02 08:09:17,485 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:58:20, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9912, loss_cls: 0.4701, loss: 0.4701 +2025-07-02 08:09:35,583 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 08:10:13,225 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:10:13,253 - pyskl - INFO - +top1_acc 0.9485 +top5_acc 0.9960 +2025-07-02 08:10:13,254 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9485, top5_acc: 0.9960 +2025-07-02 08:10:55,356 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:57:51, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4392, loss: 0.4392 +2025-07-02 08:11:13,285 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:57:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3632, loss: 0.3632 +2025-07-02 08:11:31,237 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:57:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3800, loss: 0.3800 +2025-07-02 08:11:49,007 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:56:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3874, loss: 0.3874 +2025-07-02 08:12:06,966 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:56:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.4515, loss: 0.4515 +2025-07-02 08:12:24,956 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:56:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.3898, loss: 0.3898 +2025-07-02 08:12:42,912 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:55:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9969, loss_cls: 0.4143, loss: 0.4143 +2025-07-02 08:13:00,941 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:55:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4301, loss: 0.4301 +2025-07-02 08:13:19,176 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 08:13:56,522 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:13:56,545 - pyskl - INFO - +top1_acc 0.9445 +top5_acc 0.9960 +2025-07-02 08:13:56,546 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9445, top5_acc: 0.9960 +2025-07-02 08:14:38,968 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:55:07, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3757, loss: 0.3757 +2025-07-02 08:14:56,759 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:54:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9938, loss_cls: 0.3980, loss: 0.3980 +2025-07-02 08:15:14,885 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:54:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9900, loss_cls: 0.3917, loss: 0.3917 +2025-07-02 08:15:32,692 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:54:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4230, loss: 0.4230 +2025-07-02 08:15:50,452 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:53:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.4106, loss: 0.4106 +2025-07-02 08:16:08,517 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:53:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9906, loss_cls: 0.4045, loss: 0.4045 +2025-07-02 08:16:26,417 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:53:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9969, loss_cls: 0.3889, loss: 0.3889 +2025-07-02 08:16:43,989 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:52:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9894, loss_cls: 0.4515, loss: 0.4515 +2025-07-02 08:17:01,954 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 08:17:39,721 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:17:39,748 - pyskl - INFO - +top1_acc 0.9502 +top5_acc 0.9967 +2025-07-02 08:17:39,752 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_56.pth was removed +2025-07-02 08:17:39,929 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_66.pth. +2025-07-02 08:17:39,930 - pyskl - INFO - Best top1_acc is 0.9502 at 66 epoch. +2025-07-02 08:17:39,932 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9502, top5_acc: 0.9967 +2025-07-02 08:18:22,628 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:52:23, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9931, loss_cls: 0.3537, loss: 0.3537 +2025-07-02 08:18:40,099 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:52:03, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3704, loss: 0.3704 +2025-07-02 08:18:57,883 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:51:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9938, loss_cls: 0.3982, loss: 0.3982 +2025-07-02 08:19:15,531 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:51:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9925, loss_cls: 0.4037, loss: 0.4037 +2025-07-02 08:19:33,086 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:51:04, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4108, loss: 0.4108 +2025-07-02 08:19:50,912 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:50:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.4053, loss: 0.4053 +2025-07-02 08:20:08,924 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:50:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3843, loss: 0.3843 +2025-07-02 08:20:26,713 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:50:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9919, loss_cls: 0.4153, loss: 0.4153 +2025-07-02 08:20:44,882 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 08:21:21,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:21:21,621 - pyskl - INFO - +top1_acc 0.9441 +top5_acc 0.9949 +2025-07-02 08:21:21,622 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9441, top5_acc: 0.9949 +2025-07-02 08:22:03,816 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:49:37, time: 0.422, data_time: 0.241, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9956, loss_cls: 0.4079, loss: 0.4079 +2025-07-02 08:22:21,693 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:49:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9956, loss_cls: 0.3604, loss: 0.3604 +2025-07-02 08:22:39,561 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:48:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3576, loss: 0.3576 +2025-07-02 08:22:57,457 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:48:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3905, loss: 0.3905 +2025-07-02 08:23:15,105 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:48:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3841, loss: 0.3841 +2025-07-02 08:23:33,283 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:48:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4231, loss: 0.4231 +2025-07-02 08:23:51,491 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:47:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9912, loss_cls: 0.4277, loss: 0.4277 +2025-07-02 08:24:09,399 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:47:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9950, loss_cls: 0.4151, loss: 0.4151 +2025-07-02 08:24:27,760 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 08:25:04,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:25:04,604 - pyskl - INFO - +top1_acc 0.9431 +top5_acc 0.9955 +2025-07-02 08:25:04,605 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9431, top5_acc: 0.9955 +2025-07-02 08:25:48,251 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:46:54, time: 0.436, data_time: 0.252, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3642, loss: 0.3642 +2025-07-02 08:26:06,304 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:46:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3844, loss: 0.3844 +2025-07-02 08:26:24,435 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:46:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3817, loss: 0.3817 +2025-07-02 08:26:42,818 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:45:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3767, loss: 0.3767 +2025-07-02 08:27:00,624 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:45:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3944, loss: 0.3944 +2025-07-02 08:27:18,845 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:45:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9919, loss_cls: 0.4468, loss: 0.4468 +2025-07-02 08:27:36,812 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:45:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 0.4249, loss: 0.4249 +2025-07-02 08:27:54,639 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:44:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4206, loss: 0.4206 +2025-07-02 08:28:12,458 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 08:28:50,125 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:28:50,154 - pyskl - INFO - +top1_acc 0.9542 +top5_acc 0.9964 +2025-07-02 08:28:50,159 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_66.pth was removed +2025-07-02 08:28:50,358 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-07-02 08:28:50,358 - pyskl - INFO - Best top1_acc is 0.9542 at 69 epoch. +2025-07-02 08:28:50,360 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9542, top5_acc: 0.9964 +2025-07-02 08:29:32,849 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:44:11, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9962, loss_cls: 0.3074, loss: 0.3074 +2025-07-02 08:29:51,052 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:43:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9956, loss_cls: 0.4106, loss: 0.4106 +2025-07-02 08:30:09,165 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:43:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3537, loss: 0.3537 +2025-07-02 08:30:27,305 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:43:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.4081, loss: 0.4081 +2025-07-02 08:30:44,984 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:42:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 08:31:03,011 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:42:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.4071, loss: 0.4071 +2025-07-02 08:31:20,870 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:42:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3850, loss: 0.3850 +2025-07-02 08:31:38,873 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:41:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.3831, loss: 0.3831 +2025-07-02 08:31:57,078 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 08:32:34,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:32:34,765 - pyskl - INFO - +top1_acc 0.9492 +top5_acc 0.9957 +2025-07-02 08:32:34,766 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9492, top5_acc: 0.9957 +2025-07-02 08:33:17,684 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:41:27, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3423, loss: 0.3423 +2025-07-02 08:33:35,327 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:41:08, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3772, loss: 0.3772 +2025-07-02 08:33:53,332 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:40:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.3861, loss: 0.3861 +2025-07-02 08:34:11,195 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:40:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3632, loss: 0.3632 +2025-07-02 08:34:29,202 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:40:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9938, loss_cls: 0.3488, loss: 0.3488 +2025-07-02 08:34:47,238 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:39:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9931, loss_cls: 0.4161, loss: 0.4161 +2025-07-02 08:35:05,201 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:39:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4145, loss: 0.4145 +2025-07-02 08:35:22,895 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:39:13, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9906, loss_cls: 0.4631, loss: 0.4631 +2025-07-02 08:35:41,025 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 08:36:18,371 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:36:18,400 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9968 +2025-07-02 08:36:18,401 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9519, top5_acc: 0.9968 +2025-07-02 08:37:01,548 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:38:43, time: 0.431, data_time: 0.248, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3555, loss: 0.3555 +2025-07-02 08:37:19,740 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:38:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9938, loss_cls: 0.3369, loss: 0.3369 +2025-07-02 08:37:37,514 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:38:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3596, loss: 0.3596 +2025-07-02 08:37:55,448 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:37:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9931, loss_cls: 0.2938, loss: 0.2938 +2025-07-02 08:38:13,371 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:37:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3823, loss: 0.3823 +2025-07-02 08:38:31,121 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:37:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3626, loss: 0.3626 +2025-07-02 08:38:48,706 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:36:48, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9962, loss_cls: 0.3469, loss: 0.3469 +2025-07-02 08:39:06,626 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:36:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9906, loss_cls: 0.3746, loss: 0.3746 +2025-07-02 08:39:24,915 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 08:40:02,494 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:40:02,518 - pyskl - INFO - +top1_acc 0.9524 +top5_acc 0.9962 +2025-07-02 08:40:02,519 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9524, top5_acc: 0.9962 +2025-07-02 08:40:44,546 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:35:58, time: 0.420, data_time: 0.240, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9944, loss_cls: 0.3477, loss: 0.3477 +2025-07-02 08:41:02,347 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:35:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3341, loss: 0.3341 +2025-07-02 08:41:20,197 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:35:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9925, loss_cls: 0.4008, loss: 0.4008 +2025-07-02 08:41:38,187 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:35:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3696, loss: 0.3696 +2025-07-02 08:41:55,943 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:34:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.4125, loss: 0.4125 +2025-07-02 08:42:13,798 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:34:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9956, loss_cls: 0.3861, loss: 0.3861 +2025-07-02 08:42:31,878 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:34:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3842, loss: 0.3842 +2025-07-02 08:42:49,790 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:33:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9925, loss_cls: 0.3983, loss: 0.3983 +2025-07-02 08:43:08,066 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 08:43:44,906 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:43:44,930 - pyskl - INFO - +top1_acc 0.9546 +top5_acc 0.9958 +2025-07-02 08:43:44,934 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_69.pth was removed +2025-07-02 08:43:45,099 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. +2025-07-02 08:43:45,099 - pyskl - INFO - Best top1_acc is 0.9546 at 73 epoch. +2025-07-02 08:43:45,101 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9546, top5_acc: 0.9958 +2025-07-02 08:44:27,735 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:33:13, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9962, loss_cls: 0.2742, loss: 0.2742 +2025-07-02 08:44:45,819 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:32:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3344, loss: 0.3344 +2025-07-02 08:45:03,559 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:32:35, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3581, loss: 0.3581 +2025-07-02 08:45:21,640 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:32:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3308, loss: 0.3308 +2025-07-02 08:45:39,456 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:31:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9988, loss_cls: 0.4287, loss: 0.4287 +2025-07-02 08:45:57,071 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:31:37, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.4020, loss: 0.4020 +2025-07-02 08:46:14,940 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:31:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9912, loss_cls: 0.3382, loss: 0.3382 +2025-07-02 08:46:32,889 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:30:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3979, loss: 0.3979 +2025-07-02 08:46:51,331 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 08:47:30,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:47:30,393 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9965 +2025-07-02 08:47:30,394 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9482, top5_acc: 0.9965 +2025-07-02 08:48:14,341 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:30:29, time: 0.439, data_time: 0.255, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9919, loss_cls: 0.3289, loss: 0.3289 +2025-07-02 08:48:32,383 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:30:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 0.3698, loss: 0.3698 +2025-07-02 08:48:50,543 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:29:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3568, loss: 0.3568 +2025-07-02 08:49:08,722 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:29:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9919, loss_cls: 0.3815, loss: 0.3815 +2025-07-02 08:49:26,498 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:29:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3489, loss: 0.3489 +2025-07-02 08:49:44,352 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:28:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9950, loss_cls: 0.4204, loss: 0.4204 +2025-07-02 08:50:02,758 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:28:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9950, loss_cls: 0.3766, loss: 0.3766 +2025-07-02 08:50:20,760 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:28:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3418, loss: 0.3418 +2025-07-02 08:50:39,109 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 08:51:17,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:51:17,884 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9964 +2025-07-02 08:51:17,885 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9512, top5_acc: 0.9964 +2025-07-02 08:52:00,476 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:27:46, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3030, loss: 0.3030 +2025-07-02 08:52:18,138 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:27:26, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3235, loss: 0.3235 +2025-07-02 08:52:36,064 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:27:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9906, loss_cls: 0.3991, loss: 0.3991 +2025-07-02 08:52:53,811 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:26:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9950, loss_cls: 0.3817, loss: 0.3817 +2025-07-02 08:53:11,486 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:26:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3685, loss: 0.3685 +2025-07-02 08:53:29,500 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:26:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3677, loss: 0.3677 +2025-07-02 08:53:47,409 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:25:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9962, loss_cls: 0.3321, loss: 0.3321 +2025-07-02 08:54:05,344 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:25:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3550, loss: 0.3550 +2025-07-02 08:54:23,360 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 08:55:00,305 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:55:00,328 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9961 +2025-07-02 08:55:00,329 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9393, top5_acc: 0.9961 +2025-07-02 08:55:43,653 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:25:01, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9969, loss_cls: 0.3331, loss: 0.3331 +2025-07-02 08:56:01,654 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:24:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3546, loss: 0.3546 +2025-07-02 08:56:19,759 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:24:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2937, loss: 0.2937 +2025-07-02 08:56:37,936 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:24:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.3013, loss: 0.3013 +2025-07-02 08:56:55,801 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:23:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3437, loss: 0.3437 +2025-07-02 08:57:13,554 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:23:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.3026, loss: 0.3026 +2025-07-02 08:57:31,434 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:23:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9925, loss_cls: 0.3143, loss: 0.3143 +2025-07-02 08:57:49,597 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:22:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9938, loss_cls: 0.3861, loss: 0.3861 +2025-07-02 08:58:07,564 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 08:58:44,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:58:44,640 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9957 +2025-07-02 08:58:44,641 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9464, top5_acc: 0.9957 +2025-07-02 08:59:27,656 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:22:17, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2778, loss: 0.2778 +2025-07-02 08:59:45,500 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:21:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.3019, loss: 0.3019 +2025-07-02 09:00:03,439 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:21:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2673, loss: 0.2673 +2025-07-02 09:00:21,612 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:21:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3265, loss: 0.3265 +2025-07-02 09:00:39,393 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:21:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9925, loss_cls: 0.3235, loss: 0.3235 +2025-07-02 09:00:57,095 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:20:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3642, loss: 0.3642 +2025-07-02 09:01:14,977 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:20:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3348, loss: 0.3348 +2025-07-02 09:01:32,971 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:20:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3791, loss: 0.3791 +2025-07-02 09:01:51,095 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 09:02:28,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:02:28,625 - pyskl - INFO - +top1_acc 0.9500 +top5_acc 0.9964 +2025-07-02 09:02:28,626 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9500, top5_acc: 0.9964 +2025-07-02 09:03:11,244 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:19:31, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 09:03:29,444 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:19:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3136, loss: 0.3136 +2025-07-02 09:03:47,573 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:18:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 09:04:05,442 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:18:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9969, loss_cls: 0.3451, loss: 0.3451 +2025-07-02 09:04:23,446 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:18:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3608, loss: 0.3608 +2025-07-02 09:04:41,209 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:17:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3494, loss: 0.3494 +2025-07-02 09:04:58,988 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:17:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3589, loss: 0.3589 +2025-07-02 09:05:16,560 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:17:17, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9919, loss_cls: 0.3591, loss: 0.3591 +2025-07-02 09:05:34,677 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 09:06:12,558 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:06:12,582 - pyskl - INFO - +top1_acc 0.9546 +top5_acc 0.9960 +2025-07-02 09:06:12,583 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9546, top5_acc: 0.9960 +2025-07-02 09:06:55,298 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:16:46, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2943, loss: 0.2943 +2025-07-02 09:07:13,373 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:16:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2933, loss: 0.2933 +2025-07-02 09:07:31,262 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:16:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3339, loss: 0.3339 +2025-07-02 09:07:49,389 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:15:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3337, loss: 0.3337 +2025-07-02 09:08:07,453 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:15:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3346, loss: 0.3346 +2025-07-02 09:08:25,078 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:15:11, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9944, loss_cls: 0.3843, loss: 0.3843 +2025-07-02 09:08:42,911 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:14:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3367, loss: 0.3367 +2025-07-02 09:09:00,737 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:14:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9969, loss_cls: 0.3348, loss: 0.3348 +2025-07-02 09:09:18,834 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 09:09:56,276 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:09:56,298 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9958 +2025-07-02 09:09:56,303 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_73.pth was removed +2025-07-02 09:09:56,472 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. +2025-07-02 09:09:56,472 - pyskl - INFO - Best top1_acc is 0.9609 at 80 epoch. +2025-07-02 09:09:56,474 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9609, top5_acc: 0.9958 +2025-07-02 09:10:39,390 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:14:01, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.3013, loss: 0.3013 +2025-07-02 09:10:57,234 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:13:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3341, loss: 0.3341 +2025-07-02 09:11:15,093 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:13:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3044, loss: 0.3044 +2025-07-02 09:11:33,268 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:13:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2675, loss: 0.2675 +2025-07-02 09:11:51,635 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:12:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.2922, loss: 0.2922 +2025-07-02 09:12:09,372 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:12:26, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3585, loss: 0.3585 +2025-07-02 09:12:27,311 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:12:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9988, loss_cls: 0.2550, loss: 0.2550 +2025-07-02 09:12:45,044 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:11:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3322, loss: 0.3322 +2025-07-02 09:13:03,277 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 09:13:40,596 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:13:40,624 - pyskl - INFO - +top1_acc 0.9449 +top5_acc 0.9958 +2025-07-02 09:13:40,626 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9449, top5_acc: 0.9958 +2025-07-02 09:14:23,557 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:11:16, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9988, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 09:14:41,677 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:10:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9950, loss_cls: 0.3159, loss: 0.3159 +2025-07-02 09:14:59,709 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:10:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9969, loss_cls: 0.2750, loss: 0.2750 +2025-07-02 09:15:18,043 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:10:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2517, loss: 0.2517 +2025-07-02 09:15:35,955 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:10:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2797, loss: 0.2797 +2025-07-02 09:15:53,575 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:09:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3527, loss: 0.3527 +2025-07-02 09:16:11,424 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:09:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3333, loss: 0.3333 +2025-07-02 09:16:29,700 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:09:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.2978, loss: 0.2978 +2025-07-02 09:16:48,539 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 09:17:26,392 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:17:26,421 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9958 +2025-07-02 09:17:26,422 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9498, top5_acc: 0.9958 +2025-07-02 09:18:09,199 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:08:32, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3348, loss: 0.3348 +2025-07-02 09:18:27,219 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:08:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9975, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 09:18:44,846 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:07:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9925, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 09:19:02,790 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:07:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3165, loss: 0.3165 +2025-07-02 09:19:20,800 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:07:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3223, loss: 0.3223 +2025-07-02 09:19:38,645 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:06:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3508, loss: 0.3508 +2025-07-02 09:19:56,448 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:06:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.3141, loss: 0.3141 +2025-07-02 09:20:14,172 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:06:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3654, loss: 0.3654 +2025-07-02 09:20:32,335 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 09:21:09,611 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:21:09,633 - pyskl - INFO - +top1_acc 0.9507 +top5_acc 0.9962 +2025-07-02 09:21:09,635 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9507, top5_acc: 0.9962 +2025-07-02 09:21:53,530 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:05:47, time: 0.439, data_time: 0.255, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2863, loss: 0.2863 +2025-07-02 09:22:11,353 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:05:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9925, loss_cls: 0.3094, loss: 0.3094 +2025-07-02 09:22:29,086 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:05:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2718, loss: 0.2718 +2025-07-02 09:22:47,446 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:04:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2713, loss: 0.2713 +2025-07-02 09:23:05,426 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:04:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 09:23:23,374 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:04:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3356, loss: 0.3356 +2025-07-02 09:23:40,907 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:03:52, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.3034, loss: 0.3034 +2025-07-02 09:23:58,726 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:03:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.2965, loss: 0.2965 +2025-07-02 09:24:16,922 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 09:24:54,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:24:54,068 - pyskl - INFO - +top1_acc 0.9558 +top5_acc 0.9958 +2025-07-02 09:24:54,069 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9558, top5_acc: 0.9958 +2025-07-02 09:25:37,011 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:03:01, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2785, loss: 0.2785 +2025-07-02 09:25:54,973 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:02:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 0.2263, loss: 0.2263 +2025-07-02 09:26:13,033 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:02:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2282, loss: 0.2282 +2025-07-02 09:26:31,423 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:02:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2432, loss: 0.2432 +2025-07-02 09:26:49,569 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:01:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2687, loss: 0.2687 +2025-07-02 09:27:07,543 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:01:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9938, loss_cls: 0.2892, loss: 0.2892 +2025-07-02 09:27:25,579 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:01:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.3144, loss: 0.3144 +2025-07-02 09:27:43,634 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:00:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.3080, loss: 0.3080 +2025-07-02 09:28:01,922 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 09:28:39,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:28:39,515 - pyskl - INFO - +top1_acc 0.9559 +top5_acc 0.9969 +2025-07-02 09:28:39,517 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9559, top5_acc: 0.9969 +2025-07-02 09:29:22,833 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:00:17, time: 0.433, data_time: 0.246, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2598, loss: 0.2598 +2025-07-02 09:29:40,689 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 2:59:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2505, loss: 0.2505 +2025-07-02 09:29:58,683 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 2:59:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9950, loss_cls: 0.2930, loss: 0.2930 +2025-07-02 09:30:16,548 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 2:59:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2921, loss: 0.2921 +2025-07-02 09:30:34,433 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:59:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2416, loss: 0.2416 +2025-07-02 09:30:52,036 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:58:42, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2624, loss: 0.2624 +2025-07-02 09:31:09,774 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:58:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9944, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 09:31:27,520 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:58:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.2814, loss: 0.2814 +2025-07-02 09:31:45,468 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 09:32:22,528 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:32:22,559 - pyskl - INFO - +top1_acc 0.9656 +top5_acc 0.9965 +2025-07-02 09:32:22,563 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_80.pth was removed +2025-07-02 09:32:22,762 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-07-02 09:32:22,762 - pyskl - INFO - Best top1_acc is 0.9656 at 86 epoch. +2025-07-02 09:32:22,765 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9656, top5_acc: 0.9965 +2025-07-02 09:33:05,544 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:57:31, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.2163, loss: 0.2163 +2025-07-02 09:33:23,523 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:57:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2739, loss: 0.2739 +2025-07-02 09:33:41,417 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:56:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.3272, loss: 0.3272 +2025-07-02 09:33:59,152 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:56:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9950, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 09:34:17,223 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:56:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9956, loss_cls: 0.2856, loss: 0.2856 +2025-07-02 09:34:35,744 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:55:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3074, loss: 0.3074 +2025-07-02 09:34:53,407 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:55:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2698, loss: 0.2698 +2025-07-02 09:35:11,467 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:55:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9944, loss_cls: 0.2890, loss: 0.2890 +2025-07-02 09:35:29,733 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 09:36:07,978 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:36:08,007 - pyskl - INFO - +top1_acc 0.9622 +top5_acc 0.9967 +2025-07-02 09:36:08,008 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9622, top5_acc: 0.9967 +2025-07-02 09:36:51,931 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:54:46, time: 0.439, data_time: 0.257, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2318, loss: 0.2318 +2025-07-02 09:37:09,689 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:54:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2589, loss: 0.2589 +2025-07-02 09:37:27,559 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:54:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9969, loss_cls: 0.2611, loss: 0.2611 +2025-07-02 09:37:45,689 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:53:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9956, loss_cls: 0.2513, loss: 0.2513 +2025-07-02 09:38:03,837 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:53:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2776, loss: 0.2776 +2025-07-02 09:38:21,910 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:53:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9938, loss_cls: 0.2492, loss: 0.2492 +2025-07-02 09:38:39,572 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:52:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2584, loss: 0.2584 +2025-07-02 09:38:57,242 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:52:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2719, loss: 0.2719 +2025-07-02 09:39:15,794 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 09:39:53,146 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:39:53,169 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9976 +2025-07-02 09:39:53,170 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9645, top5_acc: 0.9976 +2025-07-02 09:40:35,341 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:52:00, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2342, loss: 0.2342 +2025-07-02 09:40:53,533 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:51:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9950, loss_cls: 0.2597, loss: 0.2597 +2025-07-02 09:41:11,501 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:51:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 09:41:29,515 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:51:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.3012, loss: 0.3012 +2025-07-02 09:41:47,852 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:50:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9950, loss_cls: 0.3092, loss: 0.3092 +2025-07-02 09:42:06,080 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:50:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9962, loss_cls: 0.2567, loss: 0.2567 +2025-07-02 09:42:24,062 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:50:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2734, loss: 0.2734 +2025-07-02 09:42:42,079 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:49:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2681, loss: 0.2681 +2025-07-02 09:43:00,560 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 09:43:38,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:43:38,948 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9965 +2025-07-02 09:43:38,949 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9496, top5_acc: 0.9965 +2025-07-02 09:44:23,242 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:49:16, time: 0.443, data_time: 0.259, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9981, loss_cls: 0.2712, loss: 0.2712 +2025-07-02 09:44:41,016 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:48:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2602, loss: 0.2602 +2025-07-02 09:44:59,268 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:48:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2523, loss: 0.2523 +2025-07-02 09:45:17,239 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:48:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2810, loss: 0.2810 +2025-07-02 09:45:35,218 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:48:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9956, loss_cls: 0.2527, loss: 0.2527 +2025-07-02 09:45:53,292 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:47:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2594, loss: 0.2594 +2025-07-02 09:46:10,858 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:47:22, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2815, loss: 0.2815 +2025-07-02 09:46:28,785 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:47:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9919, loss_cls: 0.2807, loss: 0.2807 +2025-07-02 09:46:46,951 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 09:47:25,207 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:47:25,245 - pyskl - INFO - +top1_acc 0.9541 +top5_acc 0.9964 +2025-07-02 09:47:25,247 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9541, top5_acc: 0.9964 +2025-07-02 09:48:08,638 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:46:31, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.2147, loss: 0.2147 +2025-07-02 09:48:26,407 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:46:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2334, loss: 0.2334 +2025-07-02 09:48:44,539 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:45:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2283, loss: 0.2283 +2025-07-02 09:49:02,910 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:45:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2689, loss: 0.2689 +2025-07-02 09:49:20,776 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:45:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2409, loss: 0.2409 +2025-07-02 09:49:38,515 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:44:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2720, loss: 0.2720 +2025-07-02 09:49:56,468 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:44:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2768, loss: 0.2768 +2025-07-02 09:50:14,190 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:44:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2770, loss: 0.2770 +2025-07-02 09:50:32,480 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 09:51:10,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:51:10,622 - pyskl - INFO - +top1_acc 0.9617 +top5_acc 0.9965 +2025-07-02 09:51:10,623 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9617, top5_acc: 0.9965 +2025-07-02 09:51:53,969 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:43:45, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2637, loss: 0.2637 +2025-07-02 09:52:11,950 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:43:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2131, loss: 0.2131 +2025-07-02 09:52:29,667 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:43:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2334, loss: 0.2334 +2025-07-02 09:52:47,474 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:42:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2168, loss: 0.2168 +2025-07-02 09:53:05,505 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:42:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.2176, loss: 0.2176 +2025-07-02 09:53:23,454 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:42:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2412, loss: 0.2412 +2025-07-02 09:53:41,277 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:41:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2187, loss: 0.2187 +2025-07-02 09:53:59,513 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:41:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2406, loss: 0.2406 +2025-07-02 09:54:17,953 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 09:54:55,812 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:54:55,836 - pyskl - INFO - +top1_acc 0.9592 +top5_acc 0.9968 +2025-07-02 09:54:55,837 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9592, top5_acc: 0.9968 +2025-07-02 09:55:38,938 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:41:00, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9962, loss_cls: 0.2642, loss: 0.2642 +2025-07-02 09:55:56,958 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:40:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.2070, loss: 0.2070 +2025-07-02 09:56:14,880 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:40:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2264, loss: 0.2264 +2025-07-02 09:56:32,883 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:40:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.2020, loss: 0.2020 +2025-07-02 09:56:50,942 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:39:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 1.0000, loss_cls: 0.2284, loss: 0.2284 +2025-07-02 09:57:09,099 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:39:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2456, loss: 0.2456 +2025-07-02 09:57:26,612 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:39:06, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2421, loss: 0.2421 +2025-07-02 09:57:44,183 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:38:47, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2337, loss: 0.2337 +2025-07-02 09:58:02,522 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 09:58:40,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:58:40,135 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9967 +2025-07-02 09:58:40,137 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9609, top5_acc: 0.9967 +2025-07-02 09:59:24,370 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:38:14, time: 0.442, data_time: 0.256, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.2021, loss: 0.2021 +2025-07-02 09:59:42,273 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:37:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9944, loss_cls: 0.2313, loss: 0.2313 +2025-07-02 10:00:00,250 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:37:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9938, loss_cls: 0.1953, loss: 0.1953 +2025-07-02 10:00:18,461 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:37:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2221, loss: 0.2221 +2025-07-02 10:00:36,485 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:36:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1657, loss: 0.1657 +2025-07-02 10:00:54,438 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:36:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1917, loss: 0.1917 +2025-07-02 10:01:12,970 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:36:21, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1813, loss: 0.1813 +2025-07-02 10:01:30,703 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:36:02, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2555, loss: 0.2555 +2025-07-02 10:01:48,724 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 10:02:26,377 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:02:26,406 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9972 +2025-07-02 10:02:26,407 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9609, top5_acc: 0.9972 +2025-07-02 10:03:09,168 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:35:29, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2320, loss: 0.2320 +2025-07-02 10:03:26,755 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:35:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2247, loss: 0.2247 +2025-07-02 10:03:44,624 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:34:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 0.2442, loss: 0.2442 +2025-07-02 10:04:02,249 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:34:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2054, loss: 0.2054 +2025-07-02 10:04:20,389 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:34:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 10:04:38,184 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:33:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2438, loss: 0.2438 +2025-07-02 10:04:56,165 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:33:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.2061, loss: 0.2061 +2025-07-02 10:05:13,804 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:33:15, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2617, loss: 0.2617 +2025-07-02 10:05:32,261 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 10:06:10,003 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:06:10,026 - pyskl - INFO - +top1_acc 0.9598 +top5_acc 0.9969 +2025-07-02 10:06:10,027 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9598, top5_acc: 0.9969 +2025-07-02 10:06:52,873 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:32:42, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9650, top5_acc: 1.0000, loss_cls: 0.2120, loss: 0.2120 +2025-07-02 10:07:10,763 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:32:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1811, loss: 0.1811 +2025-07-02 10:07:28,362 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:32:04, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2340, loss: 0.2340 +2025-07-02 10:07:46,099 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:31:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1866, loss: 0.1866 +2025-07-02 10:08:04,253 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:31:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 10:08:22,032 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:31:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2603, loss: 0.2603 +2025-07-02 10:08:39,787 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:30:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.2360, loss: 0.2360 +2025-07-02 10:08:58,067 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:30:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2557, loss: 0.2557 +2025-07-02 10:09:16,639 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 10:09:53,766 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:09:53,789 - pyskl - INFO - +top1_acc 0.9616 +top5_acc 0.9969 +2025-07-02 10:09:53,790 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9616, top5_acc: 0.9969 +2025-07-02 10:10:36,548 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:29:56, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1828, loss: 0.1828 +2025-07-02 10:10:54,679 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:29:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2160, loss: 0.2160 +2025-07-02 10:11:12,710 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:29:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9956, loss_cls: 0.2096, loss: 0.2096 +2025-07-02 10:11:30,508 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:28:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9962, loss_cls: 0.2143, loss: 0.2143 +2025-07-02 10:11:48,490 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:28:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2318, loss: 0.2318 +2025-07-02 10:12:06,593 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:28:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9981, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 10:12:24,439 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:28:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2269, loss: 0.2269 +2025-07-02 10:12:42,291 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:27:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2293, loss: 0.2293 +2025-07-02 10:13:00,934 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 10:13:37,835 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:13:37,870 - pyskl - INFO - +top1_acc 0.9631 +top5_acc 0.9976 +2025-07-02 10:13:37,873 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9631, top5_acc: 0.9976 +2025-07-02 10:14:22,346 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:27:11, time: 0.445, data_time: 0.257, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.2011, loss: 0.2011 +2025-07-02 10:14:40,450 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:26:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1916, loss: 0.1916 +2025-07-02 10:14:58,199 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:26:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.2067, loss: 0.2067 +2025-07-02 10:15:16,398 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:26:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1820, loss: 0.1820 +2025-07-02 10:15:34,364 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:25:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1981, loss: 0.1981 +2025-07-02 10:15:52,461 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:25:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2151, loss: 0.2151 +2025-07-02 10:16:10,353 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:25:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1823, loss: 0.1823 +2025-07-02 10:16:28,455 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:24:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1951, loss: 0.1951 +2025-07-02 10:16:46,949 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 10:17:24,012 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:17:24,035 - pyskl - INFO - +top1_acc 0.9670 +top5_acc 0.9974 +2025-07-02 10:17:24,040 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_86.pth was removed +2025-07-02 10:17:24,250 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 10:17:24,250 - pyskl - INFO - Best top1_acc is 0.9670 at 98 epoch. +2025-07-02 10:17:24,252 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9670, top5_acc: 0.9974 +2025-07-02 10:18:06,906 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:24:25, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9975, loss_cls: 0.1740, loss: 0.1740 +2025-07-02 10:18:24,840 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:24:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1799, loss: 0.1799 +2025-07-02 10:18:42,535 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:23:47, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1853, loss: 0.1853 +2025-07-02 10:19:00,514 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:23:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1840, loss: 0.1840 +2025-07-02 10:19:18,439 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:23:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9956, loss_cls: 0.1951, loss: 0.1951 +2025-07-02 10:19:36,524 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:22:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2131, loss: 0.2131 +2025-07-02 10:19:54,082 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:22:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1678, loss: 0.1678 +2025-07-02 10:20:12,088 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:22:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1881, loss: 0.1881 +2025-07-02 10:20:30,653 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 10:21:07,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:21:07,677 - pyskl - INFO - +top1_acc 0.9605 +top5_acc 0.9958 +2025-07-02 10:21:07,678 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9605, top5_acc: 0.9958 +2025-07-02 10:21:50,457 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:21:38, time: 0.428, data_time: 0.247, memory: 2903, top1_acc: 0.9719, top5_acc: 1.0000, loss_cls: 0.1839, loss: 0.1839 +2025-07-02 10:22:08,268 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:21:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1674, loss: 0.1674 +2025-07-02 10:22:26,090 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:21:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1959, loss: 0.1959 +2025-07-02 10:22:44,004 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:20:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1533, loss: 0.1533 +2025-07-02 10:23:02,283 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:20:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1924, loss: 0.1924 +2025-07-02 10:23:20,426 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:20:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9956, loss_cls: 0.2067, loss: 0.2067 +2025-07-02 10:23:38,069 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:19:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 10:23:56,180 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:19:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9981, loss_cls: 0.2041, loss: 0.2041 +2025-07-02 10:24:14,846 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 10:24:51,682 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:24:51,705 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9972 +2025-07-02 10:24:51,709 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_98.pth was removed +2025-07-02 10:24:51,883 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. +2025-07-02 10:24:51,883 - pyskl - INFO - Best top1_acc is 0.9679 at 100 epoch. +2025-07-02 10:24:51,885 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9679, top5_acc: 0.9972 +2025-07-02 10:25:34,680 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:18:52, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1862, loss: 0.1862 +2025-07-02 10:25:52,468 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:18:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1653, loss: 0.1653 +2025-07-02 10:26:10,254 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:18:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9969, loss_cls: 0.2245, loss: 0.2245 +2025-07-02 10:26:28,053 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:17:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 10:26:45,647 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:17:36, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1741, loss: 0.1741 +2025-07-02 10:27:03,461 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:17:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9938, loss_cls: 0.2105, loss: 0.2105 +2025-07-02 10:27:21,157 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:16:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1810, loss: 0.1810 +2025-07-02 10:27:39,082 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:16:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1960, loss: 0.1960 +2025-07-02 10:27:57,543 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 10:28:35,173 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:28:35,197 - pyskl - INFO - +top1_acc 0.9649 +top5_acc 0.9965 +2025-07-02 10:28:35,198 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9649, top5_acc: 0.9965 +2025-07-02 10:29:18,392 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:16:05, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1838, loss: 0.1838 +2025-07-02 10:29:36,596 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:15:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1778, loss: 0.1778 +2025-07-02 10:29:54,584 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:15:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1596, loss: 0.1596 +2025-07-02 10:30:12,632 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:15:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1326, loss: 0.1326 +2025-07-02 10:30:31,109 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:14:50, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.2015, loss: 0.2015 +2025-07-02 10:30:49,312 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:14:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1867, loss: 0.1867 +2025-07-02 10:31:07,440 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:14:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9994, loss_cls: 0.1531, loss: 0.1531 +2025-07-02 10:31:25,159 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:13:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2216, loss: 0.2216 +2025-07-02 10:31:43,544 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 10:32:21,366 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:32:21,395 - pyskl - INFO - +top1_acc 0.9687 +top5_acc 0.9967 +2025-07-02 10:32:21,399 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_100.pth was removed +2025-07-02 10:32:21,592 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2025-07-02 10:32:21,592 - pyskl - INFO - Best top1_acc is 0.9687 at 102 epoch. +2025-07-02 10:32:21,594 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9687, top5_acc: 0.9967 +2025-07-02 10:33:04,259 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:13:19, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2089, loss: 0.2089 +2025-07-02 10:33:22,268 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1728, loss: 0.1728 +2025-07-02 10:33:39,997 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:12:41, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9962, loss_cls: 0.1988, loss: 0.1988 +2025-07-02 10:33:57,829 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:12:22, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1406, loss: 0.1406 +2025-07-02 10:34:15,564 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:12:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1733, loss: 0.1733 +2025-07-02 10:34:33,829 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:11:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 10:34:51,814 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:11:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1450, loss: 0.1450 +2025-07-02 10:35:09,863 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:11:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1548, loss: 0.1548 +2025-07-02 10:35:28,032 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 10:36:06,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:36:06,926 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9967 +2025-07-02 10:36:06,927 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9662, top5_acc: 0.9967 +2025-07-02 10:36:50,520 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:10:33, time: 0.436, data_time: 0.249, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1200, loss: 0.1200 +2025-07-02 10:37:08,547 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:10:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1521, loss: 0.1521 +2025-07-02 10:37:26,371 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:09:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1742, loss: 0.1742 +2025-07-02 10:37:44,079 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:09:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1491, loss: 0.1491 +2025-07-02 10:38:01,904 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:09:17, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1619, loss: 0.1619 +2025-07-02 10:38:19,706 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:08:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1577, loss: 0.1577 +2025-07-02 10:38:37,624 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:08:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9975, loss_cls: 0.1694, loss: 0.1694 +2025-07-02 10:38:55,754 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:08:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1932, loss: 0.1932 +2025-07-02 10:39:13,912 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 10:39:51,441 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:39:51,470 - pyskl - INFO - +top1_acc 0.9609 +top5_acc 0.9967 +2025-07-02 10:39:51,471 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9609, top5_acc: 0.9967 +2025-07-02 10:40:34,730 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:07:47, time: 0.433, data_time: 0.250, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1697, loss: 0.1697 +2025-07-02 10:40:52,648 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:07:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1511, loss: 0.1511 +2025-07-02 10:41:10,389 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:07:09, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1519, loss: 0.1519 +2025-07-02 10:41:28,300 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:06:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 10:41:46,294 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:06:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1613, loss: 0.1613 +2025-07-02 10:42:04,528 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:06:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1638, loss: 0.1638 +2025-07-02 10:42:22,218 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:05:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1497, loss: 0.1497 +2025-07-02 10:42:40,154 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:05:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1994, loss: 0.1994 +2025-07-02 10:42:58,383 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 10:43:36,027 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:43:36,049 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9967 +2025-07-02 10:43:36,054 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_102.pth was removed +2025-07-02 10:43:36,273 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_105.pth. +2025-07-02 10:43:36,273 - pyskl - INFO - Best top1_acc is 0.9702 at 105 epoch. +2025-07-02 10:43:36,275 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9702, top5_acc: 0.9967 +2025-07-02 10:44:19,858 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:00, time: 0.436, data_time: 0.250, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1546, loss: 0.1546 +2025-07-02 10:44:37,950 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:04:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1536, loss: 0.1536 +2025-07-02 10:44:55,621 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:04:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1639, loss: 0.1639 +2025-07-02 10:45:13,216 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:04, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1284, loss: 0.1284 +2025-07-02 10:45:31,250 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:03:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 10:45:49,236 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:03:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9994, loss_cls: 0.1755, loss: 0.1755 +2025-07-02 10:46:07,075 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:03:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 10:46:25,382 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:02:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9944, loss_cls: 0.1644, loss: 0.1644 +2025-07-02 10:46:43,607 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 10:47:21,316 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:47:21,346 - pyskl - INFO - +top1_acc 0.9644 +top5_acc 0.9967 +2025-07-02 10:47:21,348 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9644, top5_acc: 0.9967 +2025-07-02 10:48:03,999 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:02:14, time: 0.426, data_time: 0.248, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1636, loss: 0.1636 +2025-07-02 10:48:21,875 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:01:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1401, loss: 0.1401 +2025-07-02 10:48:39,630 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:01:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1602, loss: 0.1602 +2025-07-02 10:48:57,331 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:01:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1471, loss: 0.1471 +2025-07-02 10:49:15,501 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:00:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1237, loss: 0.1237 +2025-07-02 10:49:33,820 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:00:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1533, loss: 0.1533 +2025-07-02 10:49:51,541 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:00:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1610, loss: 0.1610 +2025-07-02 10:50:09,431 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2095, loss: 0.2095 +2025-07-02 10:50:27,494 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 10:51:05,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:51:05,321 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9964 +2025-07-02 10:51:05,322 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9702, top5_acc: 0.9964 +2025-07-02 10:51:48,774 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 1:59:27, time: 0.434, data_time: 0.252, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1175, loss: 0.1175 +2025-07-02 10:52:06,752 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1308, loss: 0.1308 +2025-07-02 10:52:25,107 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:58:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9962, loss_cls: 0.1490, loss: 0.1490 +2025-07-02 10:52:43,036 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:58:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1289, loss: 0.1289 +2025-07-02 10:53:01,322 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:58:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1490, loss: 0.1490 +2025-07-02 10:53:19,612 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:57:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1350, loss: 0.1350 +2025-07-02 10:53:37,780 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:57:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1222, loss: 0.1222 +2025-07-02 10:53:55,944 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:57:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9969, loss_cls: 0.1418, loss: 0.1418 +2025-07-02 10:54:14,343 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 10:54:52,186 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:54:52,216 - pyskl - INFO - +top1_acc 0.9627 +top5_acc 0.9968 +2025-07-02 10:54:52,217 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9627, top5_acc: 0.9968 +2025-07-02 10:55:35,689 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:56:42, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1504, loss: 0.1504 +2025-07-02 10:55:53,845 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:56:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 10:56:11,767 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1123, loss: 0.1123 +2025-07-02 10:56:29,693 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:55:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9969, loss_cls: 0.1285, loss: 0.1285 +2025-07-02 10:56:47,622 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:55:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 10:57:05,703 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9975, loss_cls: 0.1964, loss: 0.1964 +2025-07-02 10:57:23,518 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:54:48, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1294, loss: 0.1294 +2025-07-02 10:57:41,253 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:54:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1438, loss: 0.1438 +2025-07-02 10:57:59,279 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 10:58:36,687 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:58:36,714 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9969 +2025-07-02 10:58:36,719 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_105.pth was removed +2025-07-02 10:58:36,918 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2025-07-02 10:58:36,918 - pyskl - INFO - Best top1_acc is 0.9726 at 109 epoch. +2025-07-02 10:58:36,920 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9726, top5_acc: 0.9969 +2025-07-02 10:59:20,097 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:53:55, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1254, loss: 0.1254 +2025-07-02 10:59:38,163 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:53:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1330, loss: 0.1330 +2025-07-02 10:59:56,121 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:53:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.1107, loss: 0.1107 +2025-07-02 11:00:13,696 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:52:58, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1554, loss: 0.1554 +2025-07-02 11:00:31,991 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:52:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9981, loss_cls: 0.1458, loss: 0.1458 +2025-07-02 11:00:50,396 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:52:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1403, loss: 0.1403 +2025-07-02 11:01:08,259 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1213, loss: 0.1213 +2025-07-02 11:01:26,442 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:51:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1658, loss: 0.1658 +2025-07-02 11:01:44,817 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 11:02:22,689 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:02:22,714 - pyskl - INFO - +top1_acc 0.9704 +top5_acc 0.9968 +2025-07-02 11:02:22,716 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9704, top5_acc: 0.9968 +2025-07-02 11:03:06,174 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:09, time: 0.435, data_time: 0.253, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1204, loss: 0.1204 +2025-07-02 11:03:24,153 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:50:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1433, loss: 0.1433 +2025-07-02 11:03:42,278 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:50:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1380, loss: 0.1380 +2025-07-02 11:04:00,243 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1425, loss: 0.1425 +2025-07-02 11:04:18,326 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:49:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1315, loss: 0.1315 +2025-07-02 11:04:36,321 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:49:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1075, loss: 0.1075 +2025-07-02 11:04:54,351 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:49:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.1000, loss: 0.1000 +2025-07-02 11:05:12,727 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:48:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9969, loss_cls: 0.1425, loss: 0.1425 +2025-07-02 11:05:30,876 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 11:06:09,431 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:06:09,459 - pyskl - INFO - +top1_acc 0.9709 +top5_acc 0.9969 +2025-07-02 11:06:09,460 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9709, top5_acc: 0.9969 +2025-07-02 11:06:52,820 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:48:23, time: 0.434, data_time: 0.251, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 11:07:10,693 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0912, loss: 0.0912 +2025-07-02 11:07:28,394 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:47:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1257, loss: 0.1257 +2025-07-02 11:07:46,284 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 11:08:04,271 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9988, loss_cls: 0.1264, loss: 0.1264 +2025-07-02 11:08:21,764 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:46:48, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9969, loss_cls: 0.1264, loss: 0.1264 +2025-07-02 11:08:39,402 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:46:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0994, loss: 0.0994 +2025-07-02 11:08:57,003 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:10, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1318, loss: 0.1318 +2025-07-02 11:09:15,185 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 11:09:53,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:09:53,217 - pyskl - INFO - +top1_acc 0.9690 +top5_acc 0.9972 +2025-07-02 11:09:53,218 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9690, top5_acc: 0.9972 +2025-07-02 11:10:35,777 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:45:35, time: 0.426, data_time: 0.245, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1380, loss: 0.1380 +2025-07-02 11:10:53,715 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 0.1068, loss: 0.1068 +2025-07-02 11:11:11,539 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:44:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1234, loss: 0.1234 +2025-07-02 11:11:29,076 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:44:38, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0965, loss: 0.0965 +2025-07-02 11:11:47,203 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:44:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1163, loss: 0.1163 +2025-07-02 11:12:05,002 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9981, loss_cls: 0.1416, loss: 0.1416 +2025-07-02 11:12:22,591 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:43:42, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1199, loss: 0.1199 +2025-07-02 11:12:40,289 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1194, loss: 0.1194 +2025-07-02 11:12:58,419 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 11:13:35,469 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:13:35,493 - pyskl - INFO - +top1_acc 0.9745 +top5_acc 0.9974 +2025-07-02 11:13:35,498 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_109.pth was removed +2025-07-02 11:13:35,665 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2025-07-02 11:13:35,666 - pyskl - INFO - Best top1_acc is 0.9745 at 113 epoch. +2025-07-02 11:13:35,667 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9745, top5_acc: 0.9974 +2025-07-02 11:14:18,287 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:42:48, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1040, loss: 0.1040 +2025-07-02 11:14:36,095 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:42:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0768, loss: 0.0768 +2025-07-02 11:14:54,134 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 11:15:11,862 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:41:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0835, loss: 0.0835 +2025-07-02 11:15:30,122 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:41:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1154, loss: 0.1154 +2025-07-02 11:15:48,128 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0830, loss: 0.0830 +2025-07-02 11:16:06,173 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:40:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1027, loss: 0.1027 +2025-07-02 11:16:23,918 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:40:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1334, loss: 0.1334 +2025-07-02 11:16:42,019 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 11:17:19,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:17:19,445 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9969 +2025-07-02 11:17:19,446 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9726, top5_acc: 0.9969 +2025-07-02 11:18:01,932 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:01, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.1062, loss: 0.1062 +2025-07-02 11:18:19,593 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:39:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0921, loss: 0.0921 +2025-07-02 11:18:37,500 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1281, loss: 0.1281 +2025-07-02 11:18:55,320 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9962, loss_cls: 0.1226, loss: 0.1226 +2025-07-02 11:19:13,052 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:38:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1205, loss: 0.1205 +2025-07-02 11:19:31,172 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:38:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9962, loss_cls: 0.1255, loss: 0.1255 +2025-07-02 11:19:49,023 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0911, loss: 0.0911 +2025-07-02 11:20:06,893 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:37:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.1069, loss: 0.1069 +2025-07-02 11:20:25,544 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 11:21:02,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:21:02,666 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9965 +2025-07-02 11:21:02,667 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9722, top5_acc: 0.9965 +2025-07-02 11:21:45,362 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:14, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 11:22:03,527 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:36:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 11:22:21,642 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:36:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9962, loss_cls: 0.1174, loss: 0.1174 +2025-07-02 11:22:39,741 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0985, loss: 0.0985 +2025-07-02 11:22:57,609 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:35:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1111, loss: 0.1111 +2025-07-02 11:23:15,928 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:35:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 11:23:34,044 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 11:23:52,100 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 11:24:10,467 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 11:24:47,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:24:47,858 - pyskl - INFO - +top1_acc 0.9704 +top5_acc 0.9974 +2025-07-02 11:24:47,859 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9704, top5_acc: 0.9974 +2025-07-02 11:25:30,766 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:27, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 11:25:48,840 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 1.0000, loss_cls: 0.0961, loss: 0.0961 +2025-07-02 11:26:06,570 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:33:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0974, loss: 0.0974 +2025-07-02 11:26:24,277 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:33:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 11:26:42,192 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0952, loss: 0.0952 +2025-07-02 11:27:00,256 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:32:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0811, loss: 0.0811 +2025-07-02 11:27:18,127 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:32:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 11:27:35,869 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 11:27:54,451 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 11:28:32,219 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:28:32,251 - pyskl - INFO - +top1_acc 0.9768 +top5_acc 0.9971 +2025-07-02 11:28:32,257 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_113.pth was removed +2025-07-02 11:28:32,466 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_117.pth. +2025-07-02 11:28:32,467 - pyskl - INFO - Best top1_acc is 0.9768 at 117 epoch. +2025-07-02 11:28:32,468 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9768, top5_acc: 0.9971 +2025-07-02 11:29:14,899 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:31:40, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0765, loss: 0.0765 +2025-07-02 11:29:32,963 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9969, loss_cls: 0.1158, loss: 0.1158 +2025-07-02 11:29:51,111 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1069, loss: 0.1069 +2025-07-02 11:30:09,143 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:30:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0816, loss: 0.0816 +2025-07-02 11:30:27,366 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 11:30:45,283 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 11:31:03,133 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:29:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1079, loss: 0.1079 +2025-07-02 11:31:21,189 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0973, loss: 0.0973 +2025-07-02 11:31:39,530 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 11:32:17,706 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:32:17,734 - pyskl - INFO - +top1_acc 0.9733 +top5_acc 0.9971 +2025-07-02 11:32:17,736 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9733, top5_acc: 0.9971 +2025-07-02 11:33:00,499 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:28:53, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1168, loss: 0.1168 +2025-07-02 11:33:18,372 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:28:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0967, loss: 0.0967 +2025-07-02 11:33:36,257 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 11:33:53,906 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:27:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0989, loss: 0.0989 +2025-07-02 11:34:11,838 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:27:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0721, loss: 0.0721 +2025-07-02 11:34:29,690 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1213, loss: 0.1213 +2025-07-02 11:34:47,767 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 11:35:05,877 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:26:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9975, loss_cls: 0.1157, loss: 0.1157 +2025-07-02 11:35:24,201 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 11:36:02,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:36:02,582 - pyskl - INFO - +top1_acc 0.9725 +top5_acc 0.9968 +2025-07-02 11:36:02,583 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9725, top5_acc: 0.9968 +2025-07-02 11:36:46,483 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:07, time: 0.439, data_time: 0.250, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0772, loss: 0.0772 +2025-07-02 11:37:04,794 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:25:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0732, loss: 0.0732 +2025-07-02 11:37:23,054 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 11:37:40,824 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0650, loss: 0.0650 +2025-07-02 11:37:58,772 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:24:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 11:38:16,903 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:24:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0811, loss: 0.0811 +2025-07-02 11:38:34,715 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 11:38:52,479 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:23:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0755, loss: 0.0755 +2025-07-02 11:39:10,447 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 11:39:48,882 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:39:48,906 - pyskl - INFO - +top1_acc 0.9748 +top5_acc 0.9968 +2025-07-02 11:39:48,908 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9748, top5_acc: 0.9968 +2025-07-02 11:40:32,203 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:20, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 11:40:50,723 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:01, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0802, loss: 0.0802 +2025-07-02 11:41:09,263 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:22:43, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 11:41:27,312 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0862, loss: 0.0862 +2025-07-02 11:41:45,319 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 11:42:03,563 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:21:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 11:42:21,804 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0968, loss: 0.0968 +2025-07-02 11:42:39,662 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0826, loss: 0.0826 +2025-07-02 11:42:57,949 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 11:43:35,476 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:43:35,506 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9974 +2025-07-02 11:43:35,507 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9754, top5_acc: 0.9974 +2025-07-02 11:44:18,492 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:20:33, time: 0.430, data_time: 0.243, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0742, loss: 0.0742 +2025-07-02 11:44:36,616 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 11:44:54,348 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:19:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0809, loss: 0.0809 +2025-07-02 11:45:12,193 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:19:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0667, loss: 0.0667 +2025-07-02 11:45:29,913 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:18, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0950, loss: 0.0950 +2025-07-02 11:45:47,776 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:18:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 11:46:05,649 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:18:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 11:46:23,572 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 11:46:42,200 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 11:47:21,018 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:47:21,042 - pyskl - INFO - +top1_acc 0.9711 +top5_acc 0.9969 +2025-07-02 11:47:21,043 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9711, top5_acc: 0.9969 +2025-07-02 11:48:03,822 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:17:46, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0774, loss: 0.0774 +2025-07-02 11:48:21,463 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:27, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.0929, loss: 0.0929 +2025-07-02 11:48:39,335 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0752, loss: 0.0752 +2025-07-02 11:48:57,113 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:16:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0935, loss: 0.0935 +2025-07-02 11:49:14,889 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 11:49:33,141 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0737, loss: 0.0737 +2025-07-02 11:49:51,044 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:15:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0605, loss: 0.0605 +2025-07-02 11:50:08,816 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:15:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0672, loss: 0.0672 +2025-07-02 11:50:27,100 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 11:51:05,149 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:51:05,178 - pyskl - INFO - +top1_acc 0.9777 +top5_acc 0.9971 +2025-07-02 11:51:05,183 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_117.pth was removed +2025-07-02 11:51:05,413 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2025-07-02 11:51:05,414 - pyskl - INFO - Best top1_acc is 0.9777 at 123 epoch. +2025-07-02 11:51:05,416 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9777, top5_acc: 0.9971 +2025-07-02 11:51:47,927 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:14:59, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0705, loss: 0.0705 +2025-07-02 11:52:05,993 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:14:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0739, loss: 0.0739 +2025-07-02 11:52:24,005 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0834, loss: 0.0834 +2025-07-02 11:52:41,957 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 11:52:59,492 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:13:44, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 11:53:17,387 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0727, loss: 0.0727 +2025-07-02 11:53:35,334 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0756, loss: 0.0756 +2025-07-02 11:53:53,263 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:12:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.0860, loss: 0.0860 +2025-07-02 11:54:11,702 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 11:54:49,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:54:49,452 - pyskl - INFO - +top1_acc 0.9734 +top5_acc 0.9969 +2025-07-02 11:54:49,453 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9734, top5_acc: 0.9969 +2025-07-02 11:55:31,935 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:12, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0601, loss: 0.0601 +2025-07-02 11:55:49,901 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:11:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0548, loss: 0.0548 +2025-07-02 11:56:07,849 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:11:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0668, loss: 0.0668 +2025-07-02 11:56:25,939 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0822, loss: 0.0822 +2025-07-02 11:56:43,595 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:10:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 11:57:01,694 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:10:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 11:57:19,975 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 11:57:37,740 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0844, loss: 0.0844 +2025-07-02 11:57:56,177 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 11:58:33,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:58:33,319 - pyskl - INFO - +top1_acc 0.9761 +top5_acc 0.9968 +2025-07-02 11:58:33,320 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9761, top5_acc: 0.9968 +2025-07-02 11:59:16,199 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:25, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0504, loss: 0.0504 +2025-07-02 11:59:34,111 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 11:59:51,908 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:08:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0756, loss: 0.0756 +2025-07-02 12:00:09,746 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 12:00:27,706 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 12:00:45,654 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:07:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 12:01:03,725 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0629, loss: 0.0629 +2025-07-02 12:01:21,524 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0834, loss: 0.0834 +2025-07-02 12:01:39,662 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 12:02:17,144 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:02:17,167 - pyskl - INFO - +top1_acc 0.9755 +top5_acc 0.9971 +2025-07-02 12:02:17,168 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9755, top5_acc: 0.9971 +2025-07-02 12:03:00,419 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:06:37, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0766, loss: 0.0766 +2025-07-02 12:03:18,274 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0455, loss: 0.0455 +2025-07-02 12:03:36,344 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0689, loss: 0.0689 +2025-07-02 12:03:54,384 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:05:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0757, loss: 0.0757 +2025-07-02 12:04:12,333 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0483, loss: 0.0483 +2025-07-02 12:04:30,097 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0930, loss: 0.0930 +2025-07-02 12:04:47,904 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:04:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 12:05:05,427 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:26, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0675, loss: 0.0675 +2025-07-02 12:05:24,076 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 12:06:01,118 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:06:01,150 - pyskl - INFO - +top1_acc 0.9762 +top5_acc 0.9969 +2025-07-02 12:06:01,151 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9762, top5_acc: 0.9969 +2025-07-02 12:06:44,581 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:03:50, time: 0.434, data_time: 0.247, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 12:07:02,752 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 12:07:21,257 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:13, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0668, loss: 0.0668 +2025-07-02 12:07:39,295 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:02:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 12:07:57,059 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 12:08:14,596 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:16, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 12:08:32,277 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:01:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 12:08:49,800 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:01:39, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 12:09:08,060 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 12:09:45,170 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:09:45,194 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9972 +2025-07-02 12:09:45,199 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_123.pth was removed +2025-07-02 12:09:45,390 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-07-02 12:09:45,390 - pyskl - INFO - Best top1_acc is 0.9784 at 128 epoch. +2025-07-02 12:09:45,392 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9784, top5_acc: 0.9972 +2025-07-02 12:10:28,683 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:03, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 12:10:46,834 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:00:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 12:11:04,767 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 12:11:22,852 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 12:11:41,146 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 0:59:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 12:11:58,988 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0564, loss: 0.0564 +2025-07-02 12:12:17,518 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:11, time: 0.185, data_time: 0.001, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 12:12:35,448 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:58:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0601, loss: 0.0601 +2025-07-02 12:12:53,748 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 12:13:31,413 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:13:31,442 - pyskl - INFO - +top1_acc 0.9780 +top5_acc 0.9969 +2025-07-02 12:13:31,443 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9780, top5_acc: 0.9969 +2025-07-02 12:14:14,703 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:16, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.0783, loss: 0.0783 +2025-07-02 12:14:33,132 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:57:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 12:14:51,517 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:57:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 12:15:09,375 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 12:15:27,385 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 12:15:45,045 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:56:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 12:16:02,959 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0514, loss: 0.0514 +2025-07-02 12:16:20,717 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 12:16:39,456 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 12:17:16,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:17:16,949 - pyskl - INFO - +top1_acc 0.9776 +top5_acc 0.9972 +2025-07-02 12:17:16,950 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9776, top5_acc: 0.9972 +2025-07-02 12:18:00,529 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:29, time: 0.436, data_time: 0.252, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 12:18:18,696 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 12:18:36,353 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:54:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0535, loss: 0.0535 +2025-07-02 12:18:54,496 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 12:19:12,334 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0708, loss: 0.0708 +2025-07-02 12:19:30,153 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:53:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0852, loss: 0.0852 +2025-07-02 12:19:48,252 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 12:20:06,109 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0615, loss: 0.0615 +2025-07-02 12:20:24,411 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 12:21:02,291 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:21:02,321 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9971 +2025-07-02 12:21:02,323 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9784, top5_acc: 0.9971 +2025-07-02 12:21:45,366 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:52:42, time: 0.430, data_time: 0.248, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 12:22:03,480 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 12:22:21,523 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 12:22:39,716 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:51:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0525, loss: 0.0525 +2025-07-02 12:22:57,504 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0508, loss: 0.0508 +2025-07-02 12:23:15,388 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 12:23:33,263 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:50:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 12:23:50,846 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 12:24:09,514 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 12:24:47,178 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:24:47,201 - pyskl - INFO - +top1_acc 0.9777 +top5_acc 0.9971 +2025-07-02 12:24:47,202 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9777, top5_acc: 0.9971 +2025-07-02 12:25:30,089 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:49:55, time: 0.429, data_time: 0.248, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 12:25:48,113 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9975, loss_cls: 0.0642, loss: 0.0642 +2025-07-02 12:26:06,332 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0515, loss: 0.0515 +2025-07-02 12:26:24,442 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:48:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 12:26:42,646 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 12:27:00,482 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0486, loss: 0.0486 +2025-07-02 12:27:18,796 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 12:27:36,853 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:47:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 12:27:55,387 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 12:28:33,056 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:28:33,087 - pyskl - INFO - +top1_acc 0.9780 +top5_acc 0.9969 +2025-07-02 12:28:33,088 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9780, top5_acc: 0.9969 +2025-07-02 12:29:16,895 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:07, time: 0.438, data_time: 0.254, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 12:29:34,731 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:46:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9962, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 12:29:52,707 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 12:30:10,730 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 12:30:28,755 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:45:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 12:30:46,761 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 12:31:04,602 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 12:31:22,207 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:44:56, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 12:31:40,121 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 12:32:17,878 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:32:17,906 - pyskl - INFO - +top1_acc 0.9782 +top5_acc 0.9971 +2025-07-02 12:32:17,907 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9782, top5_acc: 0.9971 +2025-07-02 12:33:00,958 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:20, time: 0.430, data_time: 0.249, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 12:33:19,054 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 12:33:36,966 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 12:33:55,346 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 12:34:13,488 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0592, loss: 0.0592 +2025-07-02 12:34:31,333 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:42:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 12:34:49,120 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9975, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 12:35:07,100 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0585, loss: 0.0585 +2025-07-02 12:35:25,511 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 12:36:03,102 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:36:03,124 - pyskl - INFO - +top1_acc 0.9789 +top5_acc 0.9969 +2025-07-02 12:36:03,129 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_128.pth was removed +2025-07-02 12:36:03,297 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 12:36:03,298 - pyskl - INFO - Best top1_acc is 0.9789 at 135 epoch. +2025-07-02 12:36:03,300 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9789, top5_acc: 0.9969 +2025-07-02 12:36:46,053 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:33, time: 0.427, data_time: 0.245, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 12:37:03,806 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 12:37:21,704 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:40:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0634, loss: 0.0634 +2025-07-02 12:37:40,263 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:37, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 12:37:58,035 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 12:38:15,780 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:39:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 12:38:33,286 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:40, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 12:38:51,146 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 12:39:09,693 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 12:39:47,117 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:39:47,139 - pyskl - INFO - +top1_acc 0.9801 +top5_acc 0.9975 +2025-07-02 12:39:47,143 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_135.pth was removed +2025-07-02 12:39:47,311 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_136.pth. +2025-07-02 12:39:47,311 - pyskl - INFO - Best top1_acc is 0.9801 at 136 epoch. +2025-07-02 12:39:47,313 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9801, top5_acc: 0.9975 +2025-07-02 12:40:30,119 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:45, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 12:40:48,285 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0461, loss: 0.0461 +2025-07-02 12:41:06,610 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0406, loss: 0.0406 +2025-07-02 12:41:24,621 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:37:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 12:41:43,010 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 12:42:00,875 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 12:42:18,705 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:36:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 12:42:36,729 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 12:42:55,271 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 12:43:32,683 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:43:32,711 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9969 +2025-07-02 12:43:32,712 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9773, top5_acc: 0.9969 +2025-07-02 12:44:15,912 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:35:58, time: 0.432, data_time: 0.252, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0384, loss: 0.0384 +2025-07-02 12:44:33,822 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 12:44:51,834 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0450, loss: 0.0450 +2025-07-02 12:45:09,849 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 12:45:27,954 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 12:45:45,768 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0460, loss: 0.0460 +2025-07-02 12:46:03,486 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:06, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 12:46:21,434 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 12:46:39,513 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 12:47:16,913 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:47:16,936 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9969 +2025-07-02 12:47:16,937 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9784, top5_acc: 0.9969 +2025-07-02 12:48:00,083 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:11, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0218, loss: 0.0218 +2025-07-02 12:48:18,128 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:32:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 12:48:36,021 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0306, loss: 0.0306 +2025-07-02 12:48:54,119 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 12:49:11,862 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:31:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 12:49:29,772 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 12:49:47,601 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 12:50:05,559 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0530, loss: 0.0530 +2025-07-02 12:50:24,057 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 12:51:01,493 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:51:01,525 - pyskl - INFO - +top1_acc 0.9809 +top5_acc 0.9971 +2025-07-02 12:51:01,529 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_136.pth was removed +2025-07-02 12:51:01,727 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2025-07-02 12:51:01,727 - pyskl - INFO - Best top1_acc is 0.9809 at 139 epoch. +2025-07-02 12:51:01,729 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9809, top5_acc: 0.9971 +2025-07-02 12:51:44,836 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:23, time: 0.431, data_time: 0.250, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 12:52:02,908 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 12:52:20,509 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 12:52:38,538 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 12:52:56,661 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 12:53:14,553 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:28:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 12:53:32,193 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 12:53:50,338 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 12:54:08,395 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 12:54:47,035 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:54:47,059 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9972 +2025-07-02 12:54:47,060 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9793, top5_acc: 0.9972 +2025-07-02 12:55:30,537 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:36, time: 0.435, data_time: 0.253, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 12:55:48,397 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0277, loss: 0.0277 +2025-07-02 12:56:06,247 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:26:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0504, loss: 0.0504 +2025-07-02 12:56:24,245 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 12:56:42,182 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 12:57:00,065 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 12:57:17,781 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9988, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 12:57:35,430 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 12:57:53,814 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 12:58:31,382 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:58:31,408 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9972 +2025-07-02 12:58:31,409 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9802, top5_acc: 0.9972 +2025-07-02 12:59:14,208 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:48, time: 0.428, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 12:59:31,908 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 12:59:50,184 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 13:00:07,983 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:23:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 13:00:25,916 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 13:00:43,639 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 13:01:01,610 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:22:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 13:01:19,156 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:38, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0452, loss: 0.0452 +2025-07-02 13:01:37,263 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 13:02:15,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:02:15,194 - pyskl - INFO - +top1_acc 0.9812 +top5_acc 0.9971 +2025-07-02 13:02:15,199 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_139.pth was removed +2025-07-02 13:02:15,419 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2025-07-02 13:02:15,420 - pyskl - INFO - Best top1_acc is 0.9812 at 142 epoch. +2025-07-02 13:02:15,422 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9812, top5_acc: 0.9971 +2025-07-02 13:02:59,191 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:01, time: 0.438, data_time: 0.252, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0359, loss: 0.0359 +2025-07-02 13:03:17,022 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 13:03:34,834 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9975, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 13:03:53,112 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 13:04:10,917 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0362, loss: 0.0362 +2025-07-02 13:04:28,863 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 13:04:46,863 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 13:05:04,705 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 13:05:23,185 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 13:06:01,151 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:06:01,184 - pyskl - INFO - +top1_acc 0.9805 +top5_acc 0.9969 +2025-07-02 13:06:01,185 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9805, top5_acc: 0.9969 +2025-07-02 13:06:44,850 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:14, time: 0.437, data_time: 0.254, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 13:07:02,601 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:18:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 13:07:20,425 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 13:07:38,648 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 13:07:56,515 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:17:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 13:08:14,618 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 13:08:32,643 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0318, loss: 0.0318 +2025-07-02 13:08:50,359 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 13:09:08,546 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 13:09:46,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:09:46,369 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9971 +2025-07-02 13:09:46,370 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9790, top5_acc: 0.9971 +2025-07-02 13:10:29,658 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:26, time: 0.433, data_time: 0.249, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0363, loss: 0.0363 +2025-07-02 13:10:47,342 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 13:11:05,264 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0415, loss: 0.0415 +2025-07-02 13:11:23,478 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 13:11:41,661 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 13:11:59,884 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 13:12:17,440 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:34, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 13:12:35,742 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 13:12:54,127 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 13:13:31,360 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:13:31,383 - pyskl - INFO - +top1_acc 0.9800 +top5_acc 0.9975 +2025-07-02 13:13:31,384 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9800, top5_acc: 0.9975 +2025-07-02 13:14:14,502 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:39, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 13:14:32,496 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 13:14:50,528 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 13:15:08,696 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 13:15:26,645 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 13:15:44,862 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 13:16:02,385 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:47, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 13:16:20,034 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:28, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0322, loss: 0.0322 +2025-07-02 13:16:38,948 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 13:17:16,210 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:17:16,233 - pyskl - INFO - +top1_acc 0.9809 +top5_acc 0.9972 +2025-07-02 13:17:16,234 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9809, top5_acc: 0.9972 +2025-07-02 13:17:59,048 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:51, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 13:18:17,179 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0352, loss: 0.0352 +2025-07-02 13:18:35,535 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0335, loss: 0.0335 +2025-07-02 13:18:53,429 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0186, loss: 0.0186 +2025-07-02 13:19:11,987 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:36, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 13:19:30,199 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 13:19:48,111 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:08:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 13:20:05,831 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 13:20:24,305 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 13:21:01,864 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:21:01,887 - pyskl - INFO - +top1_acc 0.9798 +top5_acc 0.9972 +2025-07-02 13:21:01,888 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9798, top5_acc: 0.9972 +2025-07-02 13:21:46,486 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:04, time: 0.446, data_time: 0.257, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0509, loss: 0.0509 +2025-07-02 13:22:04,246 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 13:22:22,551 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 13:22:40,805 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 13:22:58,941 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0312, loss: 0.0312 +2025-07-02 13:23:17,206 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 13:23:35,487 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 13:23:53,386 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 13:24:11,979 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 13:24:49,328 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:24:49,352 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9974 +2025-07-02 13:24:49,353 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9802, top5_acc: 0.9974 +2025-07-02 13:25:32,937 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:16, time: 0.436, data_time: 0.252, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 13:25:51,017 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 13:26:09,095 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 13:26:27,288 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 13:26:45,141 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 13:27:03,144 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 13:27:21,038 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 13:27:38,932 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 13:27:57,177 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 13:28:35,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:28:35,166 - pyskl - INFO - +top1_acc 0.9805 +top5_acc 0.9974 +2025-07-02 13:28:35,168 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9805, top5_acc: 0.9974 +2025-07-02 13:29:18,929 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:28, time: 0.438, data_time: 0.250, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 13:29:36,734 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0149, loss: 0.0149 +2025-07-02 13:29:54,715 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 13:30:13,001 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 13:30:31,134 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 13:30:48,800 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 13:31:06,578 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 13:31:24,435 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 13:31:42,470 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 13:32:20,651 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:32:20,673 - pyskl - INFO - +top1_acc 0.9804 +top5_acc 0.9974 +2025-07-02 13:32:20,675 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9804, top5_acc: 0.9974 +2025-07-02 13:32:28,096 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 13:36:07,161 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 13:36:07,161 - pyskl - INFO - top1_acc: 0.9805 +2025-07-02 13:36:07,161 - pyskl - INFO - top5_acc: 0.9974 +2025-07-02 13:36:07,162 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/k_1/best_top1_acc_epoch_142.pth +2025-07-02 13:39:39,487 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 13:39:39,488 - pyskl - INFO - top1_acc: 0.9805 +2025-07-02 13:39:39,488 - pyskl - INFO - top5_acc: 0.9974 diff --git a/pku_mmd_xview/k_1/20250702_041342.log.json b/pku_mmd_xview/k_1/20250702_041342.log.json new file mode 100644 index 0000000000000000000000000000000000000000..4e695dd50585d690b575f019aedf850e47f1c384 --- /dev/null +++ b/pku_mmd_xview/k_1/20250702_041342.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers 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"iter": 450, "lr": 0.0, "top1_acc": 0.98038, "top5_acc": 0.99736} diff --git a/pku_mmd_xview/k_1/best_pred.pkl b/pku_mmd_xview/k_1/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..8c4fa33b9d9f1d0ec07b4ae3d97632ca62e1f171 --- /dev/null +++ b/pku_mmd_xview/k_1/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a172296042f0df9308ae6746b9250b9a3a144678f7ffb65f0d761175814ae6fa +size 2537517 diff --git a/pku_mmd_xview/k_1/best_top1_acc_epoch_142.pth b/pku_mmd_xview/k_1/best_top1_acc_epoch_142.pth new file mode 100644 index 0000000000000000000000000000000000000000..8dae66cb8785b04ebe0316f8248b860487902d64 --- /dev/null +++ b/pku_mmd_xview/k_1/best_top1_acc_epoch_142.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:56e2005a9fc8fd7c2bf53f7f4235239bcc9c5564e30b496bb13e2ba664a0bc14 +size 32917105 diff --git a/pku_mmd_xview/k_1/k_1.py b/pku_mmd_xview/k_1/k_1.py new file mode 100644 index 0000000000000000000000000000000000000000..cad9280b6423cba1a488906e3ff57e8f8beb95fd --- /dev/null +++ b/pku_mmd_xview/k_1/k_1.py @@ -0,0 +1,98 @@ +modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/k_1' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/k_2/20250702_041311.log b/pku_mmd_xview/k_2/20250702_041311.log new file mode 100644 index 0000000000000000000000000000000000000000..0769303b7e13e9490e5eb8a103d6fd55f901d1cd --- /dev/null +++ b/pku_mmd_xview/k_2/20250702_041311.log @@ -0,0 +1,2395 @@ +2025-07-02 04:13:11,448 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 04:13:11,716 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/k_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 04:13:11,716 - pyskl - INFO - Set random seed to 2020161718, deterministic: False +2025-07-02 04:13:15,960 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-02 04:13:22,584 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 04:13:22,585 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2 +2025-07-02 04:13:22,585 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 04:13:22,585 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 04:13:22,585 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2 by HardDiskBackend. +2025-07-02 04:14:01,869 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 14:41:10, time: 0.393, data_time: 0.223, memory: 2902, top1_acc: 0.0519, top5_acc: 0.1888, loss_cls: 4.3870, loss: 4.3870 +2025-07-02 04:14:19,092 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:33:17, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.0894, top5_acc: 0.3375, loss_cls: 4.0722, loss: 4.0722 +2025-07-02 04:14:36,587 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:12:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.1487, top5_acc: 0.4681, loss_cls: 3.6723, loss: 3.6723 +2025-07-02 04:14:53,744 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:30:03, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.2144, top5_acc: 0.6256, loss_cls: 3.2308, loss: 3.2308 +2025-07-02 04:15:11,027 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:05:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.3106, top5_acc: 0.7475, loss_cls: 2.8337, loss: 2.8337 +2025-07-02 04:15:28,297 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:48:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.3887, top5_acc: 0.7994, loss_cls: 2.5308, loss: 2.5308 +2025-07-02 04:15:45,527 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:36:01, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.4169, top5_acc: 0.8294, loss_cls: 2.3861, loss: 2.3861 +2025-07-02 04:16:02,748 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:26:45, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.4469, top5_acc: 0.8500, loss_cls: 2.2311, loss: 2.2311 +2025-07-02 04:16:20,575 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 04:17:01,166 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:17:01,196 - pyskl - INFO - +top1_acc 0.5649 +top5_acc 0.9296 +2025-07-02 04:17:01,386 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 04:17:01,387 - pyskl - INFO - Best top1_acc is 0.5649 at 1 epoch. +2025-07-02 04:17:01,388 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.5649, top5_acc: 0.9296 +2025-07-02 04:17:45,039 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:35:02, time: 0.436, data_time: 0.262, memory: 2902, top1_acc: 0.5262, top5_acc: 0.8850, loss_cls: 1.9967, loss: 1.9967 +2025-07-02 04:18:02,591 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:28:53, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5375, top5_acc: 0.9081, loss_cls: 1.8802, loss: 1.8802 +2025-07-02 04:18:20,012 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:23:27, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5537, top5_acc: 0.9038, loss_cls: 1.8823, loss: 1.8823 +2025-07-02 04:18:37,379 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:18:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6081, top5_acc: 0.9231, loss_cls: 1.6962, loss: 1.6962 +2025-07-02 04:18:54,974 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:15:00, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5925, top5_acc: 0.9225, loss_cls: 1.7245, loss: 1.7245 +2025-07-02 04:19:12,259 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:11:16, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6194, top5_acc: 0.9325, loss_cls: 1.6417, loss: 1.6417 +2025-07-02 04:19:29,897 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:08:28, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6069, top5_acc: 0.9219, loss_cls: 1.6809, loss: 1.6809 +2025-07-02 04:19:46,925 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:05:09, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.6175, top5_acc: 0.9363, loss_cls: 1.6363, loss: 1.6363 +2025-07-02 04:20:04,957 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 04:20:43,296 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:20:43,319 - pyskl - INFO - +top1_acc 0.6374 +top5_acc 0.9567 +2025-07-02 04:20:43,323 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_1.pth was removed +2025-07-02 04:20:43,495 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 04:20:43,495 - pyskl - INFO - Best top1_acc is 0.6374 at 2 epoch. +2025-07-02 04:20:43,497 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.6374, top5_acc: 0.9567 +2025-07-02 04:21:25,372 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:09:04, time: 0.419, data_time: 0.245, memory: 2902, top1_acc: 0.6294, top5_acc: 0.9381, loss_cls: 1.5986, loss: 1.5986 +2025-07-02 04:21:42,724 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:06:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6375, top5_acc: 0.9313, loss_cls: 1.5855, loss: 1.5855 +2025-07-02 04:22:00,320 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:04:23, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6519, top5_acc: 0.9413, loss_cls: 1.5336, loss: 1.5336 +2025-07-02 04:22:17,788 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:02:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6700, top5_acc: 0.9406, loss_cls: 1.4593, loss: 1.4593 +2025-07-02 04:22:35,287 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:00:27, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6444, top5_acc: 0.9381, loss_cls: 1.4901, loss: 1.4901 +2025-07-02 04:22:52,898 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:58:48, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6694, top5_acc: 0.9487, loss_cls: 1.4364, loss: 1.4364 +2025-07-02 04:23:10,150 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:56:57, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6956, top5_acc: 0.9525, loss_cls: 1.3762, loss: 1.3762 +2025-07-02 04:23:27,264 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:55:06, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.6725, top5_acc: 0.9375, loss_cls: 1.4566, loss: 1.4566 +2025-07-02 04:23:44,768 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 04:24:22,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:24:22,650 - pyskl - INFO - +top1_acc 0.7537 +top5_acc 0.9804 +2025-07-02 04:24:22,657 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_2.pth was removed +2025-07-02 04:24:22,859 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 04:24:22,859 - pyskl - INFO - Best top1_acc is 0.7537 at 3 epoch. +2025-07-02 04:24:22,862 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7537, top5_acc: 0.9804 +2025-07-02 04:25:04,608 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:57:56, time: 0.417, data_time: 0.243, memory: 2902, top1_acc: 0.6781, top5_acc: 0.9487, loss_cls: 1.4188, loss: 1.4188 +2025-07-02 04:25:21,967 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:56:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6919, top5_acc: 0.9519, loss_cls: 1.3666, loss: 1.3666 +2025-07-02 04:25:39,242 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:54:49, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7063, top5_acc: 0.9544, loss_cls: 1.3042, loss: 1.3042 +2025-07-02 04:25:56,848 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:53:35, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7306, top5_acc: 0.9637, loss_cls: 1.2437, loss: 1.2437 +2025-07-02 04:26:14,109 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:52:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7200, top5_acc: 0.9625, loss_cls: 1.2606, loss: 1.2606 +2025-07-02 04:26:31,625 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:51:01, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7100, top5_acc: 0.9456, loss_cls: 1.3477, loss: 1.3477 +2025-07-02 04:26:48,783 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:49:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7212, top5_acc: 0.9556, loss_cls: 1.2595, loss: 1.2595 +2025-07-02 04:27:06,077 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:48:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7281, top5_acc: 0.9575, loss_cls: 1.2475, loss: 1.2475 +2025-07-02 04:27:23,914 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 04:28:01,299 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:28:01,322 - pyskl - INFO - +top1_acc 0.7859 +top5_acc 0.9815 +2025-07-02 04:28:01,326 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_3.pth was removed +2025-07-02 04:28:01,491 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 04:28:01,492 - pyskl - INFO - Best top1_acc is 0.7859 at 4 epoch. +2025-07-02 04:28:01,493 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7859, top5_acc: 0.9815 +2025-07-02 04:28:44,090 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:51:09, time: 0.426, data_time: 0.247, memory: 2902, top1_acc: 0.7588, top5_acc: 0.9669, loss_cls: 1.1665, loss: 1.1665 +2025-07-02 04:29:01,689 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:50:08, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7481, top5_acc: 0.9719, loss_cls: 1.1474, loss: 1.1474 +2025-07-02 04:29:19,493 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:49:16, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7431, top5_acc: 0.9506, loss_cls: 1.2229, loss: 1.2229 +2025-07-02 04:29:37,177 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:48:21, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7394, top5_acc: 0.9550, loss_cls: 1.1641, loss: 1.1641 +2025-07-02 04:29:54,618 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:47:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7438, top5_acc: 0.9594, loss_cls: 1.2046, loss: 1.2046 +2025-07-02 04:30:12,011 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:46:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7325, top5_acc: 0.9681, loss_cls: 1.1848, loss: 1.1848 +2025-07-02 04:30:29,596 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:45:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7625, top5_acc: 0.9625, loss_cls: 1.1784, loss: 1.1784 +2025-07-02 04:30:47,047 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:44:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7469, top5_acc: 0.9625, loss_cls: 1.1680, loss: 1.1680 +2025-07-02 04:31:04,911 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 04:31:43,445 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:31:43,469 - pyskl - INFO - +top1_acc 0.8174 +top5_acc 0.9854 +2025-07-02 04:31:43,473 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_4.pth was removed +2025-07-02 04:31:43,639 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 04:31:43,639 - pyskl - INFO - Best top1_acc is 0.8174 at 5 epoch. +2025-07-02 04:31:43,641 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.8174, top5_acc: 0.9854 +2025-07-02 04:32:25,800 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:46:27, time: 0.422, data_time: 0.243, memory: 2902, top1_acc: 0.7719, top5_acc: 0.9681, loss_cls: 1.0785, loss: 1.0785 +2025-07-02 04:32:43,324 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:45:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7725, top5_acc: 0.9675, loss_cls: 1.0689, loss: 1.0689 +2025-07-02 04:33:00,682 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:44:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7688, top5_acc: 0.9688, loss_cls: 1.1328, loss: 1.1328 +2025-07-02 04:33:18,177 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:43:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7550, top5_acc: 0.9706, loss_cls: 1.1119, loss: 1.1119 +2025-07-02 04:33:35,781 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:43:02, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7850, top5_acc: 0.9719, loss_cls: 1.0225, loss: 1.0225 +2025-07-02 04:33:52,946 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:42:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9712, loss_cls: 1.0688, loss: 1.0688 +2025-07-02 04:34:10,220 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:41:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7644, top5_acc: 0.9581, loss_cls: 1.1325, loss: 1.1325 +2025-07-02 04:34:27,450 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:40:22, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7575, top5_acc: 0.9606, loss_cls: 1.1026, loss: 1.1026 +2025-07-02 04:34:45,483 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 04:35:22,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:35:22,634 - pyskl - INFO - +top1_acc 0.8212 +top5_acc 0.9865 +2025-07-02 04:35:22,639 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_5.pth was removed +2025-07-02 04:35:22,806 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 04:35:22,807 - pyskl - INFO - Best top1_acc is 0.8212 at 6 epoch. +2025-07-02 04:35:22,809 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8212, top5_acc: 0.9865 +2025-07-02 04:36:04,421 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:41:39, time: 0.416, data_time: 0.241, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9744, loss_cls: 0.9881, loss: 0.9881 +2025-07-02 04:36:22,064 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:40:57, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7919, top5_acc: 0.9744, loss_cls: 0.9605, loss: 0.9605 +2025-07-02 04:36:39,560 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:40:13, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7788, top5_acc: 0.9675, loss_cls: 1.0337, loss: 1.0337 +2025-07-02 04:36:56,925 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:39:26, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7744, top5_acc: 0.9669, loss_cls: 1.0128, loss: 1.0128 +2025-07-02 04:37:14,470 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:38:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7794, top5_acc: 0.9725, loss_cls: 1.0437, loss: 1.0437 +2025-07-02 04:37:32,169 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:38:07, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7656, top5_acc: 0.9637, loss_cls: 1.0924, loss: 1.0924 +2025-07-02 04:37:49,743 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:37:28, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7950, top5_acc: 0.9738, loss_cls: 0.9512, loss: 0.9512 +2025-07-02 04:38:07,274 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:36:49, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7725, top5_acc: 0.9675, loss_cls: 1.0622, loss: 1.0622 +2025-07-02 04:38:24,914 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 04:39:04,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:39:04,417 - pyskl - INFO - +top1_acc 0.8482 +top5_acc 0.9889 +2025-07-02 04:39:04,421 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_6.pth was removed +2025-07-02 04:39:04,657 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 04:39:04,658 - pyskl - INFO - Best top1_acc is 0.8482 at 7 epoch. +2025-07-02 04:39:04,660 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8482, top5_acc: 0.9889 +2025-07-02 04:39:47,048 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:38:06, time: 0.424, data_time: 0.246, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9669, loss_cls: 1.0104, loss: 1.0104 +2025-07-02 04:40:04,825 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:37:31, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7969, top5_acc: 0.9700, loss_cls: 0.9686, loss: 0.9686 +2025-07-02 04:40:22,897 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:37:02, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.7987, top5_acc: 0.9706, loss_cls: 0.9336, loss: 0.9336 +2025-07-02 04:40:40,265 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:36:20, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8131, top5_acc: 0.9806, loss_cls: 0.9016, loss: 0.9016 +2025-07-02 04:40:57,728 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:35:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9725, loss_cls: 0.9659, loss: 0.9659 +2025-07-02 04:41:15,213 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:35:02, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9844, loss_cls: 0.8662, loss: 0.8662 +2025-07-02 04:41:32,545 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:34:21, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9719, loss_cls: 0.9284, loss: 0.9284 +2025-07-02 04:41:50,307 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:33:49, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.7844, top5_acc: 0.9694, loss_cls: 1.0042, loss: 1.0042 +2025-07-02 04:42:08,219 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 04:42:45,352 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:42:45,380 - pyskl - INFO - +top1_acc 0.8319 +top5_acc 0.9861 +2025-07-02 04:42:45,381 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8319, top5_acc: 0.9861 +2025-07-02 04:43:27,161 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:34:42, time: 0.418, data_time: 0.243, memory: 2902, top1_acc: 0.8044, top5_acc: 0.9781, loss_cls: 0.9057, loss: 0.9057 +2025-07-02 04:43:44,330 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:33:59, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7981, top5_acc: 0.9775, loss_cls: 0.9103, loss: 0.9103 +2025-07-02 04:44:01,527 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:33:17, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9812, loss_cls: 0.9181, loss: 0.9181 +2025-07-02 04:44:18,814 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:32:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9781, loss_cls: 0.8904, loss: 0.8904 +2025-07-02 04:44:36,065 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:31:57, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7906, top5_acc: 0.9762, loss_cls: 0.9369, loss: 0.9369 +2025-07-02 04:44:53,302 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:31:18, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8019, top5_acc: 0.9738, loss_cls: 0.9223, loss: 0.9223 +2025-07-02 04:45:10,785 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:30:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9725, loss_cls: 0.8844, loss: 0.8844 +2025-07-02 04:45:28,027 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:30:05, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8069, top5_acc: 0.9706, loss_cls: 0.8987, loss: 0.8987 +2025-07-02 04:45:46,052 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 04:46:23,552 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:46:23,576 - pyskl - INFO - +top1_acc 0.8407 +top5_acc 0.9883 +2025-07-02 04:46:23,577 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8407, top5_acc: 0.9883 +2025-07-02 04:47:05,275 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:30:47, time: 0.417, data_time: 0.241, memory: 2902, top1_acc: 0.8063, top5_acc: 0.9794, loss_cls: 0.8849, loss: 0.8849 +2025-07-02 04:47:22,706 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:30:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9762, loss_cls: 0.8512, loss: 0.8512 +2025-07-02 04:47:40,359 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:29:41, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9819, loss_cls: 0.8156, loss: 0.8156 +2025-07-02 04:47:58,068 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:29:10, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9769, loss_cls: 0.8436, loss: 0.8436 +2025-07-02 04:48:15,622 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:28:38, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9744, loss_cls: 0.8431, loss: 0.8431 +2025-07-02 04:48:32,952 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:28:02, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8244, top5_acc: 0.9800, loss_cls: 0.8511, loss: 0.8511 +2025-07-02 04:48:50,864 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:27:36, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9806, loss_cls: 0.8366, loss: 0.8366 +2025-07-02 04:49:08,182 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:27:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9800, loss_cls: 0.8351, loss: 0.8351 +2025-07-02 04:49:26,161 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 04:50:03,583 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:50:03,611 - pyskl - INFO - +top1_acc 0.8467 +top5_acc 0.9861 +2025-07-02 04:50:03,612 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8467, top5_acc: 0.9861 +2025-07-02 04:50:45,778 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:27:42, time: 0.422, data_time: 0.246, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9762, loss_cls: 0.8393, loss: 0.8393 +2025-07-02 04:51:03,132 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:27:08, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9794, loss_cls: 0.8432, loss: 0.8432 +2025-07-02 04:51:20,707 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:26:37, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9775, loss_cls: 0.8259, loss: 0.8259 +2025-07-02 04:51:38,048 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:26:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9756, loss_cls: 0.8549, loss: 0.8549 +2025-07-02 04:51:55,433 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:25:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9794, loss_cls: 0.8282, loss: 0.8282 +2025-07-02 04:52:12,571 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:24:54, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9769, loss_cls: 0.8632, loss: 0.8632 +2025-07-02 04:52:29,983 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:24:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9775, loss_cls: 0.8438, loss: 0.8438 +2025-07-02 04:52:47,657 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:23:53, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9788, loss_cls: 0.8269, loss: 0.8269 +2025-07-02 04:53:05,645 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 04:53:43,582 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:53:43,610 - pyskl - INFO - +top1_acc 0.8859 +top5_acc 0.9890 +2025-07-02 04:53:43,615 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_7.pth was removed +2025-07-02 04:53:43,812 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. +2025-07-02 04:53:43,813 - pyskl - INFO - Best top1_acc is 0.8859 at 11 epoch. +2025-07-02 04:53:43,814 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8859, top5_acc: 0.9890 +2025-07-02 04:54:25,727 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:24:24, time: 0.419, data_time: 0.242, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9838, loss_cls: 0.7785, loss: 0.7785 +2025-07-02 04:54:43,282 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:23:54, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 0.7954, loss: 0.7954 +2025-07-02 04:55:01,043 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:23:27, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8237, top5_acc: 0.9769, loss_cls: 0.8236, loss: 0.8236 +2025-07-02 04:55:18,180 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:22:52, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9744, loss_cls: 0.7893, loss: 0.7893 +2025-07-02 04:55:35,728 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:22:23, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9744, loss_cls: 0.8503, loss: 0.8503 +2025-07-02 04:55:53,354 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:21:55, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9781, loss_cls: 0.7889, loss: 0.7889 +2025-07-02 04:56:10,733 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:21:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9831, loss_cls: 0.7859, loss: 0.7859 +2025-07-02 04:56:28,259 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:20:55, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9794, loss_cls: 0.8524, loss: 0.8524 +2025-07-02 04:56:45,957 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 04:57:23,970 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:57:23,999 - pyskl - INFO - +top1_acc 0.8756 +top5_acc 0.9897 +2025-07-02 04:57:24,001 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8756, top5_acc: 0.9897 +2025-07-02 04:58:05,598 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:21:16, time: 0.416, data_time: 0.241, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9862, loss_cls: 0.7618, loss: 0.7618 +2025-07-02 04:58:23,033 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:20:46, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9825, loss_cls: 0.8073, loss: 0.8073 +2025-07-02 04:58:40,684 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:20:18, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9762, loss_cls: 0.7859, loss: 0.7859 +2025-07-02 04:58:58,077 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:19:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9794, loss_cls: 0.7691, loss: 0.7691 +2025-07-02 04:59:15,143 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:19:15, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9831, loss_cls: 0.7657, loss: 0.7657 +2025-07-02 04:59:32,522 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:18:45, time: 0.174, data_time: 0.001, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9794, loss_cls: 0.7451, loss: 0.7451 +2025-07-02 04:59:49,996 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:18:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9788, loss_cls: 0.8236, loss: 0.8236 +2025-07-02 05:00:07,319 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:17:46, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9762, loss_cls: 0.7831, loss: 0.7831 +2025-07-02 05:00:25,219 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 05:01:02,984 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:01:03,007 - pyskl - INFO - +top1_acc 0.8913 +top5_acc 0.9921 +2025-07-02 05:01:03,012 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_11.pth was removed +2025-07-02 05:01:03,188 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_13.pth. +2025-07-02 05:01:03,189 - pyskl - INFO - Best top1_acc is 0.8913 at 13 epoch. +2025-07-02 05:01:03,190 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8913, top5_acc: 0.9921 +2025-07-02 05:01:44,710 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:18:02, time: 0.415, data_time: 0.240, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 0.7216, loss: 0.7216 +2025-07-02 05:02:02,399 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:17:36, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9850, loss_cls: 0.6979, loss: 0.6979 +2025-07-02 05:02:19,734 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:17:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9731, loss_cls: 0.8065, loss: 0.8065 +2025-07-02 05:02:37,082 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:16:37, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9825, loss_cls: 0.7399, loss: 0.7399 +2025-07-02 05:02:54,573 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:16:09, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9831, loss_cls: 0.7303, loss: 0.7303 +2025-07-02 05:03:11,937 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:15:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 0.7479, loss: 0.7479 +2025-07-02 05:03:29,485 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:15:13, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8469, top5_acc: 0.9862, loss_cls: 0.7238, loss: 0.7238 +2025-07-02 05:03:47,107 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:14:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9750, loss_cls: 0.8261, loss: 0.8261 +2025-07-02 05:04:04,916 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 05:04:42,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:04:42,235 - pyskl - INFO - +top1_acc 0.8844 +top5_acc 0.9904 +2025-07-02 05:04:42,235 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8844, top5_acc: 0.9904 +2025-07-02 05:05:23,973 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:15:01, time: 0.417, data_time: 0.243, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9806, loss_cls: 0.7112, loss: 0.7112 +2025-07-02 05:05:41,488 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:14:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 0.6766, loss: 0.6766 +2025-07-02 05:05:59,009 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:14:07, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9794, loss_cls: 0.7683, loss: 0.7683 +2025-07-02 05:06:16,627 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:13:41, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9788, loss_cls: 0.7089, loss: 0.7089 +2025-07-02 05:06:34,018 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:13:13, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9744, loss_cls: 0.7484, loss: 0.7484 +2025-07-02 05:06:51,681 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:12:48, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9800, loss_cls: 0.7621, loss: 0.7621 +2025-07-02 05:07:09,502 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:12:24, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9862, loss_cls: 0.7113, loss: 0.7113 +2025-07-02 05:07:27,223 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:11:59, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9806, loss_cls: 0.7679, loss: 0.7679 +2025-07-02 05:07:45,084 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 05:08:21,858 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:08:21,881 - pyskl - INFO - +top1_acc 0.8671 +top5_acc 0.9901 +2025-07-02 05:08:21,882 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8671, top5_acc: 0.9901 +2025-07-02 05:09:02,987 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:12:05, time: 0.411, data_time: 0.238, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9844, loss_cls: 0.7267, loss: 0.7267 +2025-07-02 05:09:20,342 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:11:37, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9881, loss_cls: 0.6659, loss: 0.6659 +2025-07-02 05:09:37,770 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:11:10, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9831, loss_cls: 0.7500, loss: 0.7500 +2025-07-02 05:09:55,306 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:10:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9781, loss_cls: 0.7899, loss: 0.7899 +2025-07-02 05:10:12,870 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:10:18, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9781, loss_cls: 0.7679, loss: 0.7679 +2025-07-02 05:10:30,505 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:09:53, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9725, loss_cls: 0.7816, loss: 0.7816 +2025-07-02 05:10:47,958 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:09:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9825, loss_cls: 0.7390, loss: 0.7390 +2025-07-02 05:11:05,582 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:09:01, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9812, loss_cls: 0.7309, loss: 0.7309 +2025-07-02 05:11:23,324 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 05:12:00,635 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:12:00,658 - pyskl - INFO - +top1_acc 0.8813 +top5_acc 0.9891 +2025-07-02 05:12:00,659 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8813, top5_acc: 0.9891 +2025-07-02 05:12:42,827 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:09:13, time: 0.422, data_time: 0.245, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9788, loss_cls: 0.7487, loss: 0.7487 +2025-07-02 05:13:00,557 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:08:49, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9894, loss_cls: 0.6217, loss: 0.6217 +2025-07-02 05:13:18,014 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:08:22, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9794, loss_cls: 0.7154, loss: 0.7154 +2025-07-02 05:13:35,611 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:07:57, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9831, loss_cls: 0.6946, loss: 0.6946 +2025-07-02 05:13:53,355 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:07:34, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9831, loss_cls: 0.7647, loss: 0.7647 +2025-07-02 05:14:11,075 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:07:10, time: 0.177, data_time: 0.001, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7343, loss: 0.7343 +2025-07-02 05:14:28,742 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:06:45, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9806, loss_cls: 0.7380, loss: 0.7380 +2025-07-02 05:14:46,229 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:06:20, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9850, loss_cls: 0.7319, loss: 0.7319 +2025-07-02 05:15:03,893 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 05:15:41,605 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:15:41,629 - pyskl - INFO - +top1_acc 0.8821 +top5_acc 0.9898 +2025-07-02 05:15:41,630 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8821, top5_acc: 0.9898 +2025-07-02 05:16:23,443 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:06:25, time: 0.418, data_time: 0.244, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9850, loss_cls: 0.7218, loss: 0.7218 +2025-07-02 05:16:40,934 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:06:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9850, loss_cls: 0.6994, loss: 0.6994 +2025-07-02 05:16:58,149 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:05:32, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9819, loss_cls: 0.7286, loss: 0.7286 +2025-07-02 05:17:15,339 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:05:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9806, loss_cls: 0.6675, loss: 0.6675 +2025-07-02 05:17:33,016 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:04:41, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9875, loss_cls: 0.7403, loss: 0.7403 +2025-07-02 05:17:50,803 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:04:18, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9769, loss_cls: 0.6525, loss: 0.6525 +2025-07-02 05:18:08,506 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:03:54, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9806, loss_cls: 0.7170, loss: 0.7170 +2025-07-02 05:18:25,827 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:03:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9812, loss_cls: 0.7135, loss: 0.7135 +2025-07-02 05:18:43,703 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 05:19:21,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:19:21,091 - pyskl - INFO - +top1_acc 0.8866 +top5_acc 0.9917 +2025-07-02 05:19:21,092 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8866, top5_acc: 0.9917 +2025-07-02 05:20:03,183 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:03:33, time: 0.421, data_time: 0.246, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.6805, loss: 0.6805 +2025-07-02 05:20:20,781 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:03:08, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9806, loss_cls: 0.6867, loss: 0.6867 +2025-07-02 05:20:38,083 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:02:42, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9862, loss_cls: 0.6467, loss: 0.6467 +2025-07-02 05:20:55,537 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:02:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 0.6428, loss: 0.6428 +2025-07-02 05:21:12,991 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:01:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9775, loss_cls: 0.7425, loss: 0.7425 +2025-07-02 05:21:30,658 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:01:28, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9794, loss_cls: 0.6681, loss: 0.6681 +2025-07-02 05:21:48,305 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 6:01:05, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 0.6684, loss: 0.6684 +2025-07-02 05:22:05,676 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 6:00:39, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9712, loss_cls: 0.7701, loss: 0.7701 +2025-07-02 05:22:23,541 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 05:23:01,978 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:23:02,006 - pyskl - INFO - +top1_acc 0.8958 +top5_acc 0.9908 +2025-07-02 05:23:02,010 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_13.pth was removed +2025-07-02 05:23:02,344 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-02 05:23:02,344 - pyskl - INFO - Best top1_acc is 0.8958 at 19 epoch. +2025-07-02 05:23:02,346 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.8958, top5_acc: 0.9908 +2025-07-02 05:23:44,498 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 6:00:42, time: 0.421, data_time: 0.249, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 0.6883, loss: 0.6883 +2025-07-02 05:24:02,057 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 6:00:18, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9800, loss_cls: 0.6364, loss: 0.6364 +2025-07-02 05:24:19,854 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:59:55, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9819, loss_cls: 0.6940, loss: 0.6940 +2025-07-02 05:24:37,107 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:59:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 0.7153, loss: 0.7153 +2025-07-02 05:24:54,388 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:59:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6539, loss: 0.6539 +2025-07-02 05:25:11,756 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:58:38, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9850, loss_cls: 0.6797, loss: 0.6797 +2025-07-02 05:25:29,194 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:58:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9819, loss_cls: 0.6820, loss: 0.6820 +2025-07-02 05:25:46,678 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:57:49, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9806, loss_cls: 0.6597, loss: 0.6597 +2025-07-02 05:26:04,841 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 05:26:42,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:26:42,688 - pyskl - INFO - +top1_acc 0.9005 +top5_acc 0.9915 +2025-07-02 05:26:42,693 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_19.pth was removed +2025-07-02 05:26:42,875 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-02 05:26:42,876 - pyskl - INFO - Best top1_acc is 0.9005 at 20 epoch. +2025-07-02 05:26:42,877 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.9005, top5_acc: 0.9915 +2025-07-02 05:27:23,940 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:57:43, time: 0.411, data_time: 0.238, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.6164, loss: 0.6164 +2025-07-02 05:27:41,449 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:57:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9781, loss_cls: 0.7142, loss: 0.7142 +2025-07-02 05:27:58,663 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:56:53, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9856, loss_cls: 0.6492, loss: 0.6492 +2025-07-02 05:28:15,983 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:56:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9788, loss_cls: 0.6525, loss: 0.6525 +2025-07-02 05:28:33,849 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:56:06, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9869, loss_cls: 0.6707, loss: 0.6707 +2025-07-02 05:28:51,362 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:55:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8750, top5_acc: 0.9894, loss_cls: 0.6287, loss: 0.6287 +2025-07-02 05:29:08,741 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:55:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6202, loss: 0.6202 +2025-07-02 05:29:26,091 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:54:53, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6838, loss: 0.6838 +2025-07-02 05:29:43,855 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 05:30:21,541 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:30:21,564 - pyskl - INFO - +top1_acc 0.9041 +top5_acc 0.9919 +2025-07-02 05:30:21,569 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_20.pth was removed +2025-07-02 05:30:21,737 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-07-02 05:30:21,737 - pyskl - INFO - Best top1_acc is 0.9041 at 21 epoch. +2025-07-02 05:30:21,739 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.9041, top5_acc: 0.9919 +2025-07-02 05:31:03,961 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:54:53, time: 0.422, data_time: 0.246, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9875, loss_cls: 0.6784, loss: 0.6784 +2025-07-02 05:31:21,537 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:54:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 0.6308, loss: 0.6308 +2025-07-02 05:31:38,990 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:54:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9819, loss_cls: 0.6494, loss: 0.6494 +2025-07-02 05:31:56,252 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:53:40, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 0.6821, loss: 0.6821 +2025-07-02 05:32:13,824 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:53:17, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9888, loss_cls: 0.6111, loss: 0.6111 +2025-07-02 05:32:31,345 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:52:53, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9812, loss_cls: 0.5988, loss: 0.5988 +2025-07-02 05:32:49,092 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:52:31, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9875, loss_cls: 0.6367, loss: 0.6367 +2025-07-02 05:33:06,471 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:52:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9762, loss_cls: 0.7338, loss: 0.7338 +2025-07-02 05:33:24,775 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 05:34:02,775 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:34:02,803 - pyskl - INFO - +top1_acc 0.8949 +top5_acc 0.9908 +2025-07-02 05:34:02,804 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8949, top5_acc: 0.9908 +2025-07-02 05:34:44,758 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:52:03, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9825, loss_cls: 0.6331, loss: 0.6331 +2025-07-02 05:35:02,493 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:51:41, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 0.6371, loss: 0.6371 +2025-07-02 05:35:19,730 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:51:16, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9825, loss_cls: 0.6537, loss: 0.6537 +2025-07-02 05:35:37,402 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:50:53, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9844, loss_cls: 0.6031, loss: 0.6031 +2025-07-02 05:35:55,094 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:50:31, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9850, loss_cls: 0.6143, loss: 0.6143 +2025-07-02 05:36:12,594 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:50:08, time: 0.175, data_time: 0.001, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9888, loss_cls: 0.6288, loss: 0.6288 +2025-07-02 05:36:30,048 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:49:44, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9800, loss_cls: 0.6485, loss: 0.6485 +2025-07-02 05:36:47,737 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:49:22, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.7026, loss: 0.7026 +2025-07-02 05:37:05,818 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 05:37:44,105 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:37:44,135 - pyskl - INFO - +top1_acc 0.8852 +top5_acc 0.9886 +2025-07-02 05:37:44,136 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.8852, top5_acc: 0.9886 +2025-07-02 05:38:27,089 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:49:22, time: 0.429, data_time: 0.252, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9912, loss_cls: 0.5896, loss: 0.5896 +2025-07-02 05:38:45,122 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:49:02, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.5981, loss: 0.5981 +2025-07-02 05:39:02,831 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:48:39, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8644, top5_acc: 0.9794, loss_cls: 0.6496, loss: 0.6496 +2025-07-02 05:39:20,505 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:48:17, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9812, loss_cls: 0.6488, loss: 0.6488 +2025-07-02 05:39:38,066 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:47:54, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9844, loss_cls: 0.6444, loss: 0.6444 +2025-07-02 05:39:55,753 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:47:32, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 0.6311, loss: 0.6311 +2025-07-02 05:40:13,385 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:47:10, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9850, loss_cls: 0.6475, loss: 0.6475 +2025-07-02 05:40:31,135 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:46:48, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9806, loss_cls: 0.6586, loss: 0.6586 +2025-07-02 05:40:49,223 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 05:41:28,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:41:28,428 - pyskl - INFO - +top1_acc 0.8742 +top5_acc 0.9889 +2025-07-02 05:41:28,429 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.8742, top5_acc: 0.9889 +2025-07-02 05:42:11,752 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:46:48, time: 0.433, data_time: 0.258, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9875, loss_cls: 0.6313, loss: 0.6313 +2025-07-02 05:42:29,562 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:46:26, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9906, loss_cls: 0.5694, loss: 0.5694 +2025-07-02 05:42:47,289 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:46:05, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9850, loss_cls: 0.6264, loss: 0.6264 +2025-07-02 05:43:04,777 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:45:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5661, loss: 0.5661 +2025-07-02 05:43:22,353 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:45:19, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.6504, loss: 0.6504 +2025-07-02 05:43:39,855 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:44:56, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9862, loss_cls: 0.6679, loss: 0.6679 +2025-07-02 05:43:57,719 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:44:35, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9819, loss_cls: 0.6045, loss: 0.6045 +2025-07-02 05:44:15,578 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:44:14, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9762, loss_cls: 0.6727, loss: 0.6727 +2025-07-02 05:44:33,363 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 05:45:11,782 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:45:11,805 - pyskl - INFO - +top1_acc 0.8876 +top5_acc 0.9904 +2025-07-02 05:45:11,807 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8876, top5_acc: 0.9904 +2025-07-02 05:45:53,405 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:44:03, time: 0.416, data_time: 0.242, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9838, loss_cls: 0.5923, loss: 0.5923 +2025-07-02 05:46:11,236 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:43:42, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8875, top5_acc: 0.9875, loss_cls: 0.5609, loss: 0.5609 +2025-07-02 05:46:28,881 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:43:20, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9894, loss_cls: 0.6075, loss: 0.6075 +2025-07-02 05:46:46,363 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:42:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9881, loss_cls: 0.5872, loss: 0.5872 +2025-07-02 05:47:04,111 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:42:35, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8838, top5_acc: 0.9825, loss_cls: 0.6019, loss: 0.6019 +2025-07-02 05:47:21,698 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:42:13, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9769, loss_cls: 0.7026, loss: 0.7026 +2025-07-02 05:47:39,513 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:41:52, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9819, loss_cls: 0.6401, loss: 0.6401 +2025-07-02 05:47:56,975 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:41:29, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9850, loss_cls: 0.6835, loss: 0.6835 +2025-07-02 05:48:14,891 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 05:48:52,659 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:48:52,684 - pyskl - INFO - +top1_acc 0.9013 +top5_acc 0.9936 +2025-07-02 05:48:52,685 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.9013, top5_acc: 0.9936 +2025-07-02 05:49:34,243 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:41:17, time: 0.416, data_time: 0.240, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9881, loss_cls: 0.5697, loss: 0.5697 +2025-07-02 05:49:51,753 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:40:54, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9869, loss_cls: 0.5700, loss: 0.5700 +2025-07-02 05:50:09,107 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:40:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9831, loss_cls: 0.5657, loss: 0.5657 +2025-07-02 05:50:26,369 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:40:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9875, loss_cls: 0.6012, loss: 0.6012 +2025-07-02 05:50:43,896 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:39:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 0.6415, loss: 0.6415 +2025-07-02 05:51:01,471 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:39:23, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.9000, top5_acc: 0.9875, loss_cls: 0.5361, loss: 0.5361 +2025-07-02 05:51:19,017 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:39:01, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.5803, loss: 0.5803 +2025-07-02 05:51:36,657 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:38:39, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6075, loss: 0.6075 +2025-07-02 05:51:54,699 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 05:52:32,004 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:52:32,027 - pyskl - INFO - +top1_acc 0.8908 +top5_acc 0.9903 +2025-07-02 05:52:32,028 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.8908, top5_acc: 0.9903 +2025-07-02 05:53:13,909 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:38:27, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6156, loss: 0.6156 +2025-07-02 05:53:31,454 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:38:05, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8794, top5_acc: 0.9931, loss_cls: 0.5790, loss: 0.5790 +2025-07-02 05:53:49,054 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:37:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9844, loss_cls: 0.6046, loss: 0.6046 +2025-07-02 05:54:06,629 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:37:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5506, loss: 0.5506 +2025-07-02 05:54:24,512 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:37:00, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9812, loss_cls: 0.5861, loss: 0.5861 +2025-07-02 05:54:42,151 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:36:39, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9838, loss_cls: 0.5485, loss: 0.5485 +2025-07-02 05:54:59,895 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:36:17, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8681, top5_acc: 0.9869, loss_cls: 0.6545, loss: 0.6545 +2025-07-02 05:55:17,327 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:35:55, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9788, loss_cls: 0.6666, loss: 0.6666 +2025-07-02 05:55:35,193 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 05:56:12,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:56:12,467 - pyskl - INFO - +top1_acc 0.8873 +top5_acc 0.9912 +2025-07-02 05:56:12,468 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8873, top5_acc: 0.9912 +2025-07-02 05:56:54,566 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:35:43, time: 0.421, data_time: 0.242, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 0.5678, loss: 0.5678 +2025-07-02 05:57:12,275 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:35:22, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.5649, loss: 0.5649 +2025-07-02 05:57:29,772 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:34:59, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.5504, loss: 0.5504 +2025-07-02 05:57:47,231 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:34:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8962, top5_acc: 0.9875, loss_cls: 0.5135, loss: 0.5135 +2025-07-02 05:58:04,628 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:34:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 0.5953, loss: 0.5953 +2025-07-02 05:58:22,045 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:33:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 0.6372, loss: 0.6372 +2025-07-02 05:58:39,650 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:33:30, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 0.6408, loss: 0.6408 +2025-07-02 05:58:57,267 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:33:09, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9875, loss_cls: 0.5451, loss: 0.5451 +2025-07-02 05:59:15,431 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 05:59:53,211 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:59:53,234 - pyskl - INFO - +top1_acc 0.9104 +top5_acc 0.9912 +2025-07-02 05:59:53,238 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_21.pth was removed +2025-07-02 05:59:53,404 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_29.pth. +2025-07-02 05:59:53,404 - pyskl - INFO - Best top1_acc is 0.9104 at 29 epoch. +2025-07-02 05:59:53,406 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9104, top5_acc: 0.9912 +2025-07-02 06:00:35,998 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:32:58, time: 0.426, data_time: 0.242, memory: 2902, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5417, loss: 0.5417 +2025-07-02 06:00:54,338 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:32:39, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5327, loss: 0.5327 +2025-07-02 06:01:12,370 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:32:19, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.5692, loss: 0.5692 +2025-07-02 06:01:30,848 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:32:01, time: 0.185, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 0.5633, loss: 0.5633 +2025-07-02 06:01:48,986 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:31:42, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8962, top5_acc: 0.9862, loss_cls: 0.5646, loss: 0.5646 +2025-07-02 06:02:07,546 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:31:24, time: 0.186, data_time: 0.000, memory: 2902, top1_acc: 0.8781, top5_acc: 0.9831, loss_cls: 0.6156, loss: 0.6156 +2025-07-02 06:02:25,646 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:31:04, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.6460, loss: 0.6460 +2025-07-02 06:02:43,859 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:30:45, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9900, loss_cls: 0.5589, loss: 0.5589 +2025-07-02 06:03:02,472 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 06:03:40,032 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:03:40,055 - pyskl - INFO - +top1_acc 0.9162 +top5_acc 0.9943 +2025-07-02 06:03:40,059 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_29.pth was removed +2025-07-02 06:03:40,232 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_30.pth. +2025-07-02 06:03:40,232 - pyskl - INFO - Best top1_acc is 0.9162 at 30 epoch. +2025-07-02 06:03:40,234 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.9162, top5_acc: 0.9943 +2025-07-02 06:04:23,092 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:30:34, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9831, loss_cls: 0.6054, loss: 0.6054 +2025-07-02 06:04:41,328 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:30:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9862, loss_cls: 0.6358, loss: 0.6358 +2025-07-02 06:04:59,285 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:29:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9788, loss_cls: 0.6828, loss: 0.6828 +2025-07-02 06:05:17,226 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:29:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 0.7079, loss: 0.7079 +2025-07-02 06:05:35,301 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:29:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9844, loss_cls: 0.6427, loss: 0.6427 +2025-07-02 06:05:53,756 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:28:57, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.6029, loss: 0.6029 +2025-07-02 06:06:12,039 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:28:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9831, loss_cls: 0.6577, loss: 0.6577 +2025-07-02 06:06:30,461 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:28:19, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6409, loss: 0.6409 +2025-07-02 06:06:49,195 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 06:07:26,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:07:26,505 - pyskl - INFO - +top1_acc 0.9275 +top5_acc 0.9929 +2025-07-02 06:07:26,509 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_30.pth was removed +2025-07-02 06:07:26,750 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_31.pth. +2025-07-02 06:07:26,751 - pyskl - INFO - Best top1_acc is 0.9275 at 31 epoch. +2025-07-02 06:07:26,752 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.9275, top5_acc: 0.9929 +2025-07-02 06:08:09,889 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:28:08, time: 0.431, data_time: 0.244, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9862, loss_cls: 0.5700, loss: 0.5700 +2025-07-02 06:08:28,173 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:27:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9888, loss_cls: 0.6196, loss: 0.6196 +2025-07-02 06:08:46,145 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:27:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9912, loss_cls: 0.5893, loss: 0.5893 +2025-07-02 06:09:04,366 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:27:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 0.6291, loss: 0.6291 +2025-07-02 06:09:22,158 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:26:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 0.5988, loss: 0.5988 +2025-07-02 06:09:40,518 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:26:30, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9862, loss_cls: 0.6035, loss: 0.6035 +2025-07-02 06:09:58,288 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:26:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.6169, loss: 0.6169 +2025-07-02 06:10:16,319 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:25:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9856, loss_cls: 0.6684, loss: 0.6684 +2025-07-02 06:10:34,884 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 06:11:12,141 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:11:12,173 - pyskl - INFO - +top1_acc 0.9210 +top5_acc 0.9947 +2025-07-02 06:11:12,175 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.9210, top5_acc: 0.9947 +2025-07-02 06:11:54,499 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:25:34, time: 0.423, data_time: 0.236, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9894, loss_cls: 0.6090, loss: 0.6090 +2025-07-02 06:12:12,882 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:25:15, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9888, loss_cls: 0.5890, loss: 0.5890 +2025-07-02 06:12:31,179 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:24:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9862, loss_cls: 0.6384, loss: 0.6384 +2025-07-02 06:12:50,089 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:24:40, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9819, loss_cls: 0.6609, loss: 0.6609 +2025-07-02 06:13:08,336 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:24:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9906, loss_cls: 0.5799, loss: 0.5799 +2025-07-02 06:13:26,546 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:24:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9825, loss_cls: 0.6247, loss: 0.6247 +2025-07-02 06:13:44,518 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:23:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.6178, loss: 0.6178 +2025-07-02 06:14:02,828 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:23:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9875, loss_cls: 0.6633, loss: 0.6633 +2025-07-02 06:14:21,365 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 06:15:00,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:15:00,051 - pyskl - INFO - +top1_acc 0.9051 +top5_acc 0.9937 +2025-07-02 06:15:00,052 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.9051, top5_acc: 0.9937 +2025-07-02 06:15:43,023 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:23:08, time: 0.430, data_time: 0.240, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9875, loss_cls: 0.6091, loss: 0.6091 +2025-07-02 06:16:01,370 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:22:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5860, loss: 0.5860 +2025-07-02 06:16:19,775 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:22:30, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9862, loss_cls: 0.5755, loss: 0.5755 +2025-07-02 06:16:38,266 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:22:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.6294, loss: 0.6294 +2025-07-02 06:16:56,478 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:21:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9825, loss_cls: 0.6437, loss: 0.6437 +2025-07-02 06:17:14,603 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:21:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5979, loss: 0.5979 +2025-07-02 06:17:32,694 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:21:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9888, loss_cls: 0.6281, loss: 0.6281 +2025-07-02 06:17:50,789 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:20:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9838, loss_cls: 0.6069, loss: 0.6069 +2025-07-02 06:18:09,136 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 06:18:46,822 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:18:46,845 - pyskl - INFO - +top1_acc 0.9103 +top5_acc 0.9901 +2025-07-02 06:18:46,846 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9103, top5_acc: 0.9901 +2025-07-02 06:19:29,911 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:20:39, time: 0.431, data_time: 0.240, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9831, loss_cls: 0.5914, loss: 0.5914 +2025-07-02 06:19:47,929 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:20:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 0.5961, loss: 0.5961 +2025-07-02 06:20:06,137 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:20:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9919, loss_cls: 0.5651, loss: 0.5651 +2025-07-02 06:20:24,649 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:19:41, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 0.5556, loss: 0.5556 +2025-07-02 06:20:42,564 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:19:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9831, loss_cls: 0.5794, loss: 0.5794 +2025-07-02 06:21:01,046 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:19:02, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9812, loss_cls: 0.5383, loss: 0.5383 +2025-07-02 06:21:19,203 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:18:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9894, loss_cls: 0.6011, loss: 0.6011 +2025-07-02 06:21:37,546 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:18:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9800, loss_cls: 0.6789, loss: 0.6789 +2025-07-02 06:21:56,149 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 06:22:33,749 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:22:33,786 - pyskl - INFO - +top1_acc 0.9148 +top5_acc 0.9925 +2025-07-02 06:22:33,787 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.9148, top5_acc: 0.9925 +2025-07-02 06:23:16,242 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:18:06, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5938, loss: 0.5938 +2025-07-02 06:23:34,534 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:17:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5419, loss: 0.5419 +2025-07-02 06:23:52,822 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:17:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 06:24:11,088 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:17:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9881, loss_cls: 0.6142, loss: 0.6142 +2025-07-02 06:24:29,381 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:16:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9869, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 06:24:47,816 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:16:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9850, loss_cls: 0.6177, loss: 0.6177 +2025-07-02 06:25:05,637 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:16:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9906, loss_cls: 0.5651, loss: 0.5651 +2025-07-02 06:25:23,800 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:15:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9869, loss_cls: 0.6375, loss: 0.6375 +2025-07-02 06:25:42,586 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 06:26:20,852 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:26:20,880 - pyskl - INFO - +top1_acc 0.9329 +top5_acc 0.9942 +2025-07-02 06:26:20,885 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_31.pth was removed +2025-07-02 06:26:21,090 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. +2025-07-02 06:26:21,090 - pyskl - INFO - Best top1_acc is 0.9329 at 36 epoch. +2025-07-02 06:26:21,092 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9329, top5_acc: 0.9942 +2025-07-02 06:27:04,187 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:15:34, time: 0.431, data_time: 0.242, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 0.6157, loss: 0.6157 +2025-07-02 06:27:22,195 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:15:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.5910, loss: 0.5910 +2025-07-02 06:27:40,258 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:14:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9856, loss_cls: 0.5962, loss: 0.5962 +2025-07-02 06:27:58,072 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:14:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5043, loss: 0.5043 +2025-07-02 06:28:16,193 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:14:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9875, loss_cls: 0.5882, loss: 0.5882 +2025-07-02 06:28:34,605 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:13:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5411, loss: 0.5411 +2025-07-02 06:28:52,907 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:13:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9894, loss_cls: 0.5558, loss: 0.5558 +2025-07-02 06:29:11,169 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:13:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5069, loss: 0.5069 +2025-07-02 06:29:29,906 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 06:30:07,837 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:30:07,866 - pyskl - INFO - +top1_acc 0.9148 +top5_acc 0.9908 +2025-07-02 06:30:07,867 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9148, top5_acc: 0.9908 +2025-07-02 06:30:50,175 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:12:57, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.5520, loss: 0.5520 +2025-07-02 06:31:08,168 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:12:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 0.5396, loss: 0.5396 +2025-07-02 06:31:26,595 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:12:18, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5539, loss: 0.5539 +2025-07-02 06:31:44,997 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:11:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5416, loss: 0.5416 +2025-07-02 06:32:03,313 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:11:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5425, loss: 0.5425 +2025-07-02 06:32:21,724 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:11:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9919, loss_cls: 0.5539, loss: 0.5539 +2025-07-02 06:32:39,945 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:11:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5227, loss: 0.5227 +2025-07-02 06:32:58,313 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:10:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9875, loss_cls: 0.5523, loss: 0.5523 +2025-07-02 06:33:16,724 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 06:33:54,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:33:54,460 - pyskl - INFO - +top1_acc 0.9384 +top5_acc 0.9955 +2025-07-02 06:33:54,464 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_36.pth was removed +2025-07-02 06:33:54,630 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_38.pth. +2025-07-02 06:33:54,630 - pyskl - INFO - Best top1_acc is 0.9384 at 38 epoch. +2025-07-02 06:33:54,632 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9384, top5_acc: 0.9955 +2025-07-02 06:34:37,537 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:10:25, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5744, loss: 0.5744 +2025-07-02 06:34:55,920 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:10:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9869, loss_cls: 0.5395, loss: 0.5395 +2025-07-02 06:35:13,856 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:09:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.5657, loss: 0.5657 +2025-07-02 06:35:32,080 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:09:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9869, loss_cls: 0.5220, loss: 0.5220 +2025-07-02 06:35:50,246 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:09:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.5351, loss: 0.5351 +2025-07-02 06:36:08,640 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:08:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9862, loss_cls: 0.5201, loss: 0.5201 +2025-07-02 06:36:27,109 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:08:29, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9838, loss_cls: 0.5563, loss: 0.5563 +2025-07-02 06:36:45,479 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:08:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.6048, loss: 0.6048 +2025-07-02 06:37:04,024 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 06:37:41,641 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:37:41,663 - pyskl - INFO - +top1_acc 0.9392 +top5_acc 0.9949 +2025-07-02 06:37:41,667 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_38.pth was removed +2025-07-02 06:37:41,991 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. +2025-07-02 06:37:41,991 - pyskl - INFO - Best top1_acc is 0.9392 at 39 epoch. +2025-07-02 06:37:41,993 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9392, top5_acc: 0.9949 +2025-07-02 06:38:25,060 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:07:51, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5843, loss: 0.5843 +2025-07-02 06:38:42,877 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:07:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9900, loss_cls: 0.4781, loss: 0.4781 +2025-07-02 06:39:00,814 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:07:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9850, loss_cls: 0.5570, loss: 0.5570 +2025-07-02 06:39:18,912 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:06:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5120, loss: 0.5120 +2025-07-02 06:39:36,998 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:06:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9925, loss_cls: 0.5441, loss: 0.5441 +2025-07-02 06:39:54,870 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:06:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5024, loss: 0.5024 +2025-07-02 06:40:12,936 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:05:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9844, loss_cls: 0.5685, loss: 0.5685 +2025-07-02 06:40:31,364 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:05:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9844, loss_cls: 0.5664, loss: 0.5664 +2025-07-02 06:40:49,931 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 06:41:28,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:41:28,334 - pyskl - INFO - +top1_acc 0.9192 +top5_acc 0.9939 +2025-07-02 06:41:28,335 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9192, top5_acc: 0.9939 +2025-07-02 06:42:11,114 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:05:11, time: 0.428, data_time: 0.238, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9900, loss_cls: 0.5358, loss: 0.5358 +2025-07-02 06:42:29,186 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:04:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4947, loss: 0.4947 +2025-07-02 06:42:47,131 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:04:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 0.5062, loss: 0.5062 +2025-07-02 06:43:04,998 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:04:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 06:43:22,997 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:03:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5469, loss: 0.5469 +2025-07-02 06:43:41,081 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:03:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 0.5567, loss: 0.5567 +2025-07-02 06:43:59,178 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:03:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9875, loss_cls: 0.5846, loss: 0.5846 +2025-07-02 06:44:17,294 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:02:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9856, loss_cls: 0.5237, loss: 0.5237 +2025-07-02 06:44:35,851 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 06:45:14,907 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:45:14,931 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9937 +2025-07-02 06:45:14,933 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9253, top5_acc: 0.9937 +2025-07-02 06:45:58,690 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:02:33, time: 0.438, data_time: 0.251, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5333, loss: 0.5333 +2025-07-02 06:46:16,787 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:02:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9938, loss_cls: 0.5035, loss: 0.5035 +2025-07-02 06:46:34,589 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:01:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9881, loss_cls: 0.4750, loss: 0.4750 +2025-07-02 06:46:52,522 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 5:01:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9900, loss_cls: 0.5072, loss: 0.5072 +2025-07-02 06:47:10,644 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 5:01:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 0.5841, loss: 0.5841 +2025-07-02 06:47:28,582 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 5:00:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9894, loss_cls: 0.4899, loss: 0.4899 +2025-07-02 06:47:46,823 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 5:00:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9856, loss_cls: 0.5201, loss: 0.5201 +2025-07-02 06:48:04,833 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 5:00:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9875, loss_cls: 0.5989, loss: 0.5989 +2025-07-02 06:48:23,532 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 06:49:01,250 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:49:01,280 - pyskl - INFO - +top1_acc 0.9302 +top5_acc 0.9953 +2025-07-02 06:49:01,283 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9302, top5_acc: 0.9953 +2025-07-02 06:49:44,660 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:59:54, time: 0.434, data_time: 0.248, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9894, loss_cls: 0.4608, loss: 0.4608 +2025-07-02 06:50:02,784 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:59:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4586, loss: 0.4586 +2025-07-02 06:50:21,091 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:59:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9856, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 06:50:39,140 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:58:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9919, loss_cls: 0.5138, loss: 0.5138 +2025-07-02 06:50:57,611 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:58:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9869, loss_cls: 0.5896, loss: 0.5896 +2025-07-02 06:51:15,401 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:58:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 0.4920, loss: 0.4920 +2025-07-02 06:51:33,737 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:57:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9894, loss_cls: 0.5280, loss: 0.5280 +2025-07-02 06:51:51,748 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:57:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9862, loss_cls: 0.5792, loss: 0.5792 +2025-07-02 06:52:10,636 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 06:52:48,091 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:52:48,114 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9930 +2025-07-02 06:52:48,115 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9372, top5_acc: 0.9930 +2025-07-02 06:53:30,970 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:57:15, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9894, loss_cls: 0.5012, loss: 0.5012 +2025-07-02 06:53:49,175 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:56:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9862, loss_cls: 0.5158, loss: 0.5158 +2025-07-02 06:54:07,374 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:56:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 06:54:25,599 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:56:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.5190, loss: 0.5190 +2025-07-02 06:54:44,261 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:55:58, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5288, loss: 0.5288 +2025-07-02 06:55:02,074 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:55:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9856, loss_cls: 0.5261, loss: 0.5261 +2025-07-02 06:55:20,385 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:55:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9888, loss_cls: 0.5012, loss: 0.5012 +2025-07-02 06:55:38,550 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:54:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9894, loss_cls: 0.5306, loss: 0.5306 +2025-07-02 06:55:57,210 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 06:56:34,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:56:34,976 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9953 +2025-07-02 06:56:34,977 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9372, top5_acc: 0.9953 +2025-07-02 06:57:17,275 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:54:35, time: 0.423, data_time: 0.239, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4913, loss: 0.4913 +2025-07-02 06:57:35,325 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:54:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9894, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 06:57:53,356 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:53:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9906, loss_cls: 0.5394, loss: 0.5394 +2025-07-02 06:58:11,604 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:53:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9919, loss_cls: 0.4663, loss: 0.4663 +2025-07-02 06:58:29,668 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:53:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5367, loss: 0.5367 +2025-07-02 06:58:47,488 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:52:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9931, loss_cls: 0.4599, loss: 0.4599 +2025-07-02 06:59:05,745 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:52:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9931, loss_cls: 0.4961, loss: 0.4961 +2025-07-02 06:59:23,602 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:52:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9856, loss_cls: 0.5501, loss: 0.5501 +2025-07-02 06:59:42,448 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 07:00:19,389 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:00:19,413 - pyskl - INFO - +top1_acc 0.9384 +top5_acc 0.9960 +2025-07-02 07:00:19,414 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.9384, top5_acc: 0.9960 +2025-07-02 07:01:01,867 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:51:53, time: 0.424, data_time: 0.237, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9888, loss_cls: 0.4917, loss: 0.4917 +2025-07-02 07:01:20,008 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:51:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9875, loss_cls: 0.5011, loss: 0.5011 +2025-07-02 07:01:38,208 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:51:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.5212, loss: 0.5212 +2025-07-02 07:01:56,313 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:50:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5029, loss: 0.5029 +2025-07-02 07:02:14,664 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:50:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9906, loss_cls: 0.5383, loss: 0.5383 +2025-07-02 07:02:32,749 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:50:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4726, loss: 0.4726 +2025-07-02 07:02:51,154 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:49:56, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.5103, loss: 0.5103 +2025-07-02 07:03:09,271 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:49:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5648, loss: 0.5648 +2025-07-02 07:03:27,571 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 07:04:05,263 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:04:05,292 - pyskl - INFO - +top1_acc 0.9457 +top5_acc 0.9950 +2025-07-02 07:04:05,296 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_39.pth was removed +2025-07-02 07:04:05,500 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-07-02 07:04:05,500 - pyskl - INFO - Best top1_acc is 0.9457 at 46 epoch. +2025-07-02 07:04:05,502 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9457, top5_acc: 0.9950 +2025-07-02 07:04:48,129 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:49:12, time: 0.426, data_time: 0.238, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4734, loss: 0.4734 +2025-07-02 07:05:06,294 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:48:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9875, loss_cls: 0.4826, loss: 0.4826 +2025-07-02 07:05:24,576 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:48:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.4784, loss: 0.4784 +2025-07-02 07:05:42,775 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:48:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.4964, loss: 0.4964 +2025-07-02 07:06:00,805 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:47:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9894, loss_cls: 0.4913, loss: 0.4913 +2025-07-02 07:06:19,037 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:47:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9919, loss_cls: 0.5384, loss: 0.5384 +2025-07-02 07:06:37,407 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:47:16, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.5052, loss: 0.5052 +2025-07-02 07:06:55,410 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:46:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5455, loss: 0.5455 +2025-07-02 07:07:14,190 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 07:07:52,295 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:07:52,322 - pyskl - INFO - +top1_acc 0.9404 +top5_acc 0.9951 +2025-07-02 07:07:52,323 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9404, top5_acc: 0.9951 +2025-07-02 07:08:34,083 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:46:30, time: 0.418, data_time: 0.235, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9869, loss_cls: 0.4514, loss: 0.4514 +2025-07-02 07:08:52,416 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:46:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4485, loss: 0.4485 +2025-07-02 07:09:10,380 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:45:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9900, loss_cls: 0.5038, loss: 0.5038 +2025-07-02 07:09:28,452 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:45:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4435, loss: 0.4435 +2025-07-02 07:09:46,904 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:45:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9906, loss_cls: 0.4978, loss: 0.4978 +2025-07-02 07:10:05,075 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:44:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9925, loss_cls: 0.4781, loss: 0.4781 +2025-07-02 07:10:23,392 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:44:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4337, loss: 0.4337 +2025-07-02 07:10:41,605 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:44:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 07:11:00,514 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 07:11:38,070 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:11:38,093 - pyskl - INFO - +top1_acc 0.9391 +top5_acc 0.9960 +2025-07-02 07:11:38,094 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9391, top5_acc: 0.9960 +2025-07-02 07:12:20,998 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:43:50, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9956, loss_cls: 0.4509, loss: 0.4509 +2025-07-02 07:12:38,865 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:43:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4576, loss: 0.4576 +2025-07-02 07:12:57,173 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:43:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9950, loss_cls: 0.4410, loss: 0.4410 +2025-07-02 07:13:15,155 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:42:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9931, loss_cls: 0.4821, loss: 0.4821 +2025-07-02 07:13:33,204 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:42:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9919, loss_cls: 0.5168, loss: 0.5168 +2025-07-02 07:13:51,403 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:42:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5249, loss: 0.5249 +2025-07-02 07:14:09,189 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:41:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 07:14:27,443 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:41:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5169, loss: 0.5169 +2025-07-02 07:14:45,797 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 07:15:23,443 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:15:23,467 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9951 +2025-07-02 07:15:23,468 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9393, top5_acc: 0.9951 +2025-07-02 07:16:06,372 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:41:07, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9925, loss_cls: 0.4403, loss: 0.4403 +2025-07-02 07:16:24,459 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:40:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9956, loss_cls: 0.5030, loss: 0.5030 +2025-07-02 07:16:42,526 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:40:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9888, loss_cls: 0.4053, loss: 0.4053 +2025-07-02 07:17:00,667 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:40:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9888, loss_cls: 0.4513, loss: 0.4513 +2025-07-02 07:17:18,754 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:39:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5065, loss: 0.5065 +2025-07-02 07:17:36,886 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:39:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.4948, loss: 0.4948 +2025-07-02 07:17:54,844 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:39:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 0.5785, loss: 0.5785 +2025-07-02 07:18:13,527 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:38:50, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9869, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 07:18:32,074 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 07:19:09,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:19:09,411 - pyskl - INFO - +top1_acc 0.9377 +top5_acc 0.9951 +2025-07-02 07:19:09,413 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9377, top5_acc: 0.9951 +2025-07-02 07:19:52,573 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:38:26, time: 0.432, data_time: 0.248, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4644, loss: 0.4644 +2025-07-02 07:20:10,751 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:38:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 0.4538, loss: 0.4538 +2025-07-02 07:20:29,125 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:37:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9881, loss_cls: 0.5339, loss: 0.5339 +2025-07-02 07:20:47,116 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:37:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9912, loss_cls: 0.4825, loss: 0.4825 +2025-07-02 07:21:05,369 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:37:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.5054, loss: 0.5054 +2025-07-02 07:21:23,595 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:36:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9912, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 07:21:41,688 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:36:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4892, loss: 0.4892 +2025-07-02 07:22:00,097 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:36:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.5112, loss: 0.5112 +2025-07-02 07:22:18,911 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 07:22:56,307 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:22:56,330 - pyskl - INFO - +top1_acc 0.9239 +top5_acc 0.9946 +2025-07-02 07:22:56,331 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9239, top5_acc: 0.9946 +2025-07-02 07:23:38,455 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:35:44, time: 0.421, data_time: 0.235, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9925, loss_cls: 0.4424, loss: 0.4424 +2025-07-02 07:23:56,780 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:35:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9962, loss_cls: 0.4637, loss: 0.4637 +2025-07-02 07:24:14,605 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:35:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4710, loss: 0.4710 +2025-07-02 07:24:32,464 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:34:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.4931, loss: 0.4931 +2025-07-02 07:24:50,657 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:34:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4367, loss: 0.4367 +2025-07-02 07:25:09,025 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:34:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9900, loss_cls: 0.4539, loss: 0.4539 +2025-07-02 07:25:26,705 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:33:45, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4187, loss: 0.4187 +2025-07-02 07:25:45,057 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:33:26, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.5549, loss: 0.5549 +2025-07-02 07:26:03,542 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 07:26:40,985 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:26:41,014 - pyskl - INFO - +top1_acc 0.8969 +top5_acc 0.9926 +2025-07-02 07:26:41,015 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.8969, top5_acc: 0.9926 +2025-07-02 07:27:23,833 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:33:00, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9912, loss_cls: 0.4320, loss: 0.4320 +2025-07-02 07:27:42,149 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:32:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9950, loss_cls: 0.4590, loss: 0.4590 +2025-07-02 07:28:00,258 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:32:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9950, loss_cls: 0.4528, loss: 0.4528 +2025-07-02 07:28:18,417 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:32:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 0.4481, loss: 0.4481 +2025-07-02 07:28:36,399 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:31:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9862, loss_cls: 0.4506, loss: 0.4506 +2025-07-02 07:28:54,394 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:31:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4594, loss: 0.4594 +2025-07-02 07:29:12,649 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:31:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9875, loss_cls: 0.5957, loss: 0.5957 +2025-07-02 07:29:31,016 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:30:44, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9875, loss_cls: 0.5251, loss: 0.5251 +2025-07-02 07:29:49,702 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 07:30:27,831 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:30:27,860 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9955 +2025-07-02 07:30:27,862 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9372, top5_acc: 0.9955 +2025-07-02 07:31:09,885 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:30:16, time: 0.420, data_time: 0.235, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9906, loss_cls: 0.4231, loss: 0.4231 +2025-07-02 07:31:28,236 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:29:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9931, loss_cls: 0.4022, loss: 0.4022 +2025-07-02 07:31:46,183 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:29:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4777, loss: 0.4777 +2025-07-02 07:32:04,384 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:29:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9950, loss_cls: 0.4198, loss: 0.4198 +2025-07-02 07:32:22,295 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:28:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9906, loss_cls: 0.4929, loss: 0.4929 +2025-07-02 07:32:40,550 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:28:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.4086, loss: 0.4086 +2025-07-02 07:32:58,350 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:28:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9894, loss_cls: 0.4733, loss: 0.4733 +2025-07-02 07:33:16,608 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:27:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9869, loss_cls: 0.4785, loss: 0.4785 +2025-07-02 07:33:34,827 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 07:34:12,270 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:34:12,298 - pyskl - INFO - +top1_acc 0.9453 +top5_acc 0.9940 +2025-07-02 07:34:12,299 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9453, top5_acc: 0.9940 +2025-07-02 07:34:55,432 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:27:33, time: 0.431, data_time: 0.242, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9950, loss_cls: 0.4230, loss: 0.4230 +2025-07-02 07:35:13,987 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:27:14, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4542, loss: 0.4542 +2025-07-02 07:35:31,952 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:26:55, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 0.4759, loss: 0.4759 +2025-07-02 07:35:50,081 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:26:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9888, loss_cls: 0.4546, loss: 0.4546 +2025-07-02 07:36:08,243 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:26:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.4200, loss: 0.4200 +2025-07-02 07:36:26,419 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:25:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4324, loss: 0.4324 +2025-07-02 07:36:44,343 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:25:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 0.4870, loss: 0.4870 +2025-07-02 07:37:02,630 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:25:17, time: 0.183, data_time: 0.001, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.5064, loss: 0.5064 +2025-07-02 07:37:21,148 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 07:37:58,389 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:37:58,412 - pyskl - INFO - +top1_acc 0.9347 +top5_acc 0.9950 +2025-07-02 07:37:58,413 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9347, top5_acc: 0.9950 +2025-07-02 07:38:41,186 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:24:50, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9888, loss_cls: 0.4140, loss: 0.4140 +2025-07-02 07:38:59,642 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:24:31, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9894, loss_cls: 0.4453, loss: 0.4453 +2025-07-02 07:39:17,850 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:24:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9950, loss_cls: 0.4478, loss: 0.4478 +2025-07-02 07:39:35,785 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:23:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3797, loss: 0.3797 +2025-07-02 07:39:54,078 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:23:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9888, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 07:40:12,285 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:23:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4317, loss: 0.4317 +2025-07-02 07:40:30,359 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:22:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9912, loss_cls: 0.4298, loss: 0.4298 +2025-07-02 07:40:49,073 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:22:35, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4577, loss: 0.4577 +2025-07-02 07:41:07,451 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 07:41:45,293 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:41:45,323 - pyskl - INFO - +top1_acc 0.9329 +top5_acc 0.9943 +2025-07-02 07:41:45,324 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9329, top5_acc: 0.9943 +2025-07-02 07:42:28,119 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:22:08, time: 0.428, data_time: 0.238, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4218, loss: 0.4218 +2025-07-02 07:42:46,357 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:21:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9925, loss_cls: 0.4162, loss: 0.4162 +2025-07-02 07:43:04,068 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:21:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4312, loss: 0.4312 +2025-07-02 07:43:22,137 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:21:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4742, loss: 0.4742 +2025-07-02 07:43:40,070 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:20:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4267, loss: 0.4267 +2025-07-02 07:43:58,124 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:20:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.5047, loss: 0.5047 +2025-07-02 07:44:15,989 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:20:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4182, loss: 0.4182 +2025-07-02 07:44:34,377 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:19:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4575, loss: 0.4575 +2025-07-02 07:44:53,276 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 07:45:31,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:45:31,098 - pyskl - INFO - +top1_acc 0.9283 +top5_acc 0.9949 +2025-07-02 07:45:31,099 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9283, top5_acc: 0.9949 +2025-07-02 07:46:15,175 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:19:25, time: 0.441, data_time: 0.249, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4609, loss: 0.4609 +2025-07-02 07:46:33,488 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:19:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4449, loss: 0.4449 +2025-07-02 07:46:51,861 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:18:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.3814, loss: 0.3814 +2025-07-02 07:47:10,081 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:18:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9900, loss_cls: 0.4489, loss: 0.4489 +2025-07-02 07:47:28,440 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:18:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4158, loss: 0.4158 +2025-07-02 07:47:46,586 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:17:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.4348, loss: 0.4348 +2025-07-02 07:48:04,558 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:17:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 0.4395, loss: 0.4395 +2025-07-02 07:48:22,834 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:17:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9950, loss_cls: 0.4388, loss: 0.4388 +2025-07-02 07:48:41,695 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 07:49:19,275 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:49:19,298 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9954 +2025-07-02 07:49:19,299 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9382, top5_acc: 0.9954 +2025-07-02 07:50:02,746 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:16:43, time: 0.434, data_time: 0.247, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9944, loss_cls: 0.3681, loss: 0.3681 +2025-07-02 07:50:21,278 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:16:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.3786, loss: 0.3786 +2025-07-02 07:50:39,279 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:16:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3906, loss: 0.3906 +2025-07-02 07:50:57,376 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:15:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4046, loss: 0.4046 +2025-07-02 07:51:15,737 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:15:26, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9931, loss_cls: 0.4413, loss: 0.4413 +2025-07-02 07:51:33,880 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:15:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9938, loss_cls: 0.4339, loss: 0.4339 +2025-07-02 07:51:52,416 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:14:47, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9894, loss_cls: 0.4894, loss: 0.4894 +2025-07-02 07:52:10,600 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:14:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.5100, loss: 0.5100 +2025-07-02 07:52:29,441 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 07:53:07,069 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:53:07,094 - pyskl - INFO - +top1_acc 0.9588 +top5_acc 0.9954 +2025-07-02 07:53:07,098 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_46.pth was removed +2025-07-02 07:53:07,270 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. +2025-07-02 07:53:07,270 - pyskl - INFO - Best top1_acc is 0.9588 at 59 epoch. +2025-07-02 07:53:07,272 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9588, top5_acc: 0.9954 +2025-07-02 07:53:49,497 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:13:59, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4375, loss: 0.4375 +2025-07-02 07:54:07,602 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:13:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4331, loss: 0.4331 +2025-07-02 07:54:25,389 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:13:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9975, loss_cls: 0.3639, loss: 0.3639 +2025-07-02 07:54:43,701 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:13:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3730, loss: 0.3730 +2025-07-02 07:55:01,798 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:12:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9931, loss_cls: 0.4186, loss: 0.4186 +2025-07-02 07:55:19,848 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:12:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9925, loss_cls: 0.4488, loss: 0.4488 +2025-07-02 07:55:37,972 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:12:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9956, loss_cls: 0.4306, loss: 0.4306 +2025-07-02 07:55:56,277 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:11:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4725, loss: 0.4725 +2025-07-02 07:56:14,634 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 07:56:51,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:56:51,884 - pyskl - INFO - +top1_acc 0.9399 +top5_acc 0.9964 +2025-07-02 07:56:51,885 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9399, top5_acc: 0.9964 +2025-07-02 07:57:34,580 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:11:14, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9962, loss_cls: 0.4080, loss: 0.4080 +2025-07-02 07:57:52,749 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:10:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.3743, loss: 0.3743 +2025-07-02 07:58:10,818 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:10:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9919, loss_cls: 0.4110, loss: 0.4110 +2025-07-02 07:58:28,960 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:10:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3945, loss: 0.3945 +2025-07-02 07:58:47,091 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:09:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4390, loss: 0.4390 +2025-07-02 07:59:05,293 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:09:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9862, loss_cls: 0.4785, loss: 0.4785 +2025-07-02 07:59:23,390 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:09:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9925, loss_cls: 0.4206, loss: 0.4206 +2025-07-02 07:59:41,508 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:08:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9888, loss_cls: 0.4385, loss: 0.4385 +2025-07-02 08:00:00,040 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 08:00:37,559 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:00:37,587 - pyskl - INFO - +top1_acc 0.9512 +top5_acc 0.9954 +2025-07-02 08:00:37,588 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9512, top5_acc: 0.9954 +2025-07-02 08:01:19,112 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:08:28, time: 0.415, data_time: 0.232, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3800, loss: 0.3800 +2025-07-02 08:01:37,478 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:08:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4311, loss: 0.4311 +2025-07-02 08:01:55,150 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:07:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9956, loss_cls: 0.3373, loss: 0.3373 +2025-07-02 08:02:13,162 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:07:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3828, loss: 0.3828 +2025-07-02 08:02:31,330 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:07:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9938, loss_cls: 0.3579, loss: 0.3579 +2025-07-02 08:02:49,424 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:06:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4679, loss: 0.4679 +2025-07-02 08:03:07,506 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:06:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9969, loss_cls: 0.3891, loss: 0.3891 +2025-07-02 08:03:25,784 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:06:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9950, loss_cls: 0.3940, loss: 0.3940 +2025-07-02 08:03:44,438 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 08:04:22,072 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:04:22,096 - pyskl - INFO - +top1_acc 0.9314 +top5_acc 0.9962 +2025-07-02 08:04:22,097 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9314, top5_acc: 0.9962 +2025-07-02 08:05:05,263 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:05:43, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3679, loss: 0.3679 +2025-07-02 08:05:23,341 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:05:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9969, loss_cls: 0.3136, loss: 0.3136 +2025-07-02 08:05:41,469 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:05:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4062, loss: 0.4062 +2025-07-02 08:05:59,553 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:04:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9919, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 08:06:18,024 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:04:25, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9900, loss_cls: 0.4076, loss: 0.4076 +2025-07-02 08:06:35,938 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:04:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.4097, loss: 0.4097 +2025-07-02 08:06:54,297 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:03:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4161, loss: 0.4161 +2025-07-02 08:07:12,205 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:03:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4421, loss: 0.4421 +2025-07-02 08:07:30,813 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 08:08:07,926 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:08:07,949 - pyskl - INFO - +top1_acc 0.9018 +top5_acc 0.9923 +2025-07-02 08:08:07,950 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9018, top5_acc: 0.9923 +2025-07-02 08:08:50,277 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:02:57, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9919, loss_cls: 0.3664, loss: 0.3664 +2025-07-02 08:09:08,737 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:02:38, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9906, loss_cls: 0.3946, loss: 0.3946 +2025-07-02 08:09:27,047 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:02:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9944, loss_cls: 0.4741, loss: 0.4741 +2025-07-02 08:09:45,378 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:02:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4433, loss: 0.4433 +2025-07-02 08:10:03,621 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:01:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 08:10:21,690 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:01:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3609, loss: 0.3609 +2025-07-02 08:10:40,221 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 4:01:02, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.2958, loss: 0.2958 +2025-07-02 08:10:58,105 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 4:00:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9938, loss_cls: 0.3718, loss: 0.3718 +2025-07-02 08:11:16,654 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 08:11:54,582 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:11:54,611 - pyskl - INFO - +top1_acc 0.9270 +top5_acc 0.9954 +2025-07-02 08:11:54,612 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9270, top5_acc: 0.9954 +2025-07-02 08:12:36,619 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 4:00:12, time: 0.420, data_time: 0.236, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 08:12:54,865 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:59:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.3919, loss: 0.3919 +2025-07-02 08:13:12,645 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:59:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.3173, loss: 0.3173 +2025-07-02 08:13:31,002 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:59:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.3511, loss: 0.3511 +2025-07-02 08:13:49,265 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:58:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4134, loss: 0.4134 +2025-07-02 08:14:07,321 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:58:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4065, loss: 0.4065 +2025-07-02 08:14:25,605 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:58:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9975, loss_cls: 0.3960, loss: 0.3960 +2025-07-02 08:14:43,689 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:57:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3993, loss: 0.3993 +2025-07-02 08:15:02,049 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 08:15:39,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:15:39,369 - pyskl - INFO - +top1_acc 0.9450 +top5_acc 0.9957 +2025-07-02 08:15:39,370 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9450, top5_acc: 0.9957 +2025-07-02 08:16:22,246 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:57:27, time: 0.429, data_time: 0.238, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9938, loss_cls: 0.3953, loss: 0.3953 +2025-07-02 08:16:40,270 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:57:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9894, loss_cls: 0.4081, loss: 0.4081 +2025-07-02 08:16:58,290 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:56:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9944, loss_cls: 0.3993, loss: 0.3993 +2025-07-02 08:17:16,643 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:56:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9962, loss_cls: 0.3897, loss: 0.3897 +2025-07-02 08:17:34,759 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:56:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3829, loss: 0.3829 +2025-07-02 08:17:53,318 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:55:51, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4339, loss: 0.4339 +2025-07-02 08:18:11,693 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:55:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 0.4800, loss: 0.4800 +2025-07-02 08:18:29,567 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:55:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3715, loss: 0.3715 +2025-07-02 08:18:48,262 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 08:19:25,432 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:19:25,455 - pyskl - INFO - +top1_acc 0.9398 +top5_acc 0.9951 +2025-07-02 08:19:25,455 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9398, top5_acc: 0.9951 +2025-07-02 08:20:07,544 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:54:41, time: 0.421, data_time: 0.240, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3543, loss: 0.3543 +2025-07-02 08:20:25,886 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:54:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3482, loss: 0.3482 +2025-07-02 08:20:43,677 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:54:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.4098, loss: 0.4098 +2025-07-02 08:21:01,937 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:53:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9894, loss_cls: 0.3903, loss: 0.3903 +2025-07-02 08:21:19,755 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:53:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.4142, loss: 0.4142 +2025-07-02 08:21:37,771 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:53:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9944, loss_cls: 0.3390, loss: 0.3390 +2025-07-02 08:21:56,344 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:52:45, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4006, loss: 0.4006 +2025-07-02 08:22:15,124 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:52:26, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.4992, loss: 0.4992 +2025-07-02 08:22:33,926 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 08:23:11,188 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:23:11,212 - pyskl - INFO - +top1_acc 0.9296 +top5_acc 0.9917 +2025-07-02 08:23:11,213 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9296, top5_acc: 0.9917 +2025-07-02 08:23:54,032 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:51:57, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.4013, loss: 0.4013 +2025-07-02 08:24:12,240 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:51:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9919, loss_cls: 0.3616, loss: 0.3616 +2025-07-02 08:24:30,214 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:51:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9944, loss_cls: 0.3601, loss: 0.3601 +2025-07-02 08:24:48,775 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:50:59, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3290, loss: 0.3290 +2025-07-02 08:25:07,257 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:50:40, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9906, loss_cls: 0.4525, loss: 0.4525 +2025-07-02 08:25:25,435 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:50:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3585, loss: 0.3585 +2025-07-02 08:25:43,668 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:50:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.3923, loss: 0.3923 +2025-07-02 08:26:01,423 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:49:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9931, loss_cls: 0.4147, loss: 0.4147 +2025-07-02 08:26:19,930 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 08:26:57,360 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:26:57,388 - pyskl - INFO - +top1_acc 0.9410 +top5_acc 0.9947 +2025-07-02 08:26:57,389 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9410, top5_acc: 0.9947 +2025-07-02 08:27:40,394 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:49:12, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.3471, loss: 0.3471 +2025-07-02 08:27:58,682 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:48:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9962, loss_cls: 0.3486, loss: 0.3486 +2025-07-02 08:28:16,387 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:48:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 0.4070, loss: 0.4070 +2025-07-02 08:28:34,609 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:48:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3459, loss: 0.3459 +2025-07-02 08:28:52,343 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:47:53, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4618, loss: 0.4618 +2025-07-02 08:29:10,623 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:47:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9912, loss_cls: 0.3949, loss: 0.3949 +2025-07-02 08:29:28,751 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:47:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9938, loss_cls: 0.3971, loss: 0.3971 +2025-07-02 08:29:47,239 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:46:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.4000, loss: 0.4000 +2025-07-02 08:30:05,937 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 08:30:43,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:30:43,761 - pyskl - INFO - +top1_acc 0.9620 +top5_acc 0.9967 +2025-07-02 08:30:43,765 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_59.pth was removed +2025-07-02 08:30:43,935 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_69.pth. +2025-07-02 08:30:43,935 - pyskl - INFO - Best top1_acc is 0.9620 at 69 epoch. +2025-07-02 08:30:43,937 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9620, top5_acc: 0.9967 +2025-07-02 08:31:27,176 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:46:26, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2928, loss: 0.2928 +2025-07-02 08:31:45,260 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:46:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.3852, loss: 0.3852 +2025-07-02 08:32:03,682 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:45:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3420, loss: 0.3420 +2025-07-02 08:32:22,137 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:45:29, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3604, loss: 0.3604 +2025-07-02 08:32:40,102 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:45:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9944, loss_cls: 0.3520, loss: 0.3520 +2025-07-02 08:32:58,204 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:44:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3944, loss: 0.3944 +2025-07-02 08:33:16,321 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:44:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9938, loss_cls: 0.3587, loss: 0.3587 +2025-07-02 08:33:34,317 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:44:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3949, loss: 0.3949 +2025-07-02 08:33:53,075 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 08:34:29,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:34:29,909 - pyskl - INFO - +top1_acc 0.9485 +top5_acc 0.9958 +2025-07-02 08:34:29,910 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9485, top5_acc: 0.9958 +2025-07-02 08:35:12,351 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:43:40, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3250, loss: 0.3250 +2025-07-02 08:35:30,253 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:43:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3673, loss: 0.3673 +2025-07-02 08:35:48,211 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:43:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.3958, loss: 0.3958 +2025-07-02 08:36:06,656 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:42:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9975, loss_cls: 0.3678, loss: 0.3678 +2025-07-02 08:36:24,958 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:42:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3665, loss: 0.3665 +2025-07-02 08:36:43,333 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:42:04, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9969, loss_cls: 0.3451, loss: 0.3451 +2025-07-02 08:37:01,345 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:41:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3752, loss: 0.3752 +2025-07-02 08:37:19,442 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:41:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3442, loss: 0.3442 +2025-07-02 08:37:38,275 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 08:38:15,574 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:38:15,607 - pyskl - INFO - +top1_acc 0.9588 +top5_acc 0.9961 +2025-07-02 08:38:15,608 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9588, top5_acc: 0.9961 +2025-07-02 08:38:58,258 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:40:54, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.2949, loss: 0.2949 +2025-07-02 08:39:16,399 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:40:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3721, loss: 0.3721 +2025-07-02 08:39:34,310 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:40:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3589, loss: 0.3589 +2025-07-02 08:39:52,661 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:39:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9956, loss_cls: 0.3346, loss: 0.3346 +2025-07-02 08:40:11,000 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:39:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3785, loss: 0.3785 +2025-07-02 08:40:29,183 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:39:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9944, loss_cls: 0.3822, loss: 0.3822 +2025-07-02 08:40:46,968 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:38:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3216, loss: 0.3216 +2025-07-02 08:41:04,727 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:38:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3730, loss: 0.3730 +2025-07-02 08:41:23,367 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 08:42:00,091 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:42:00,115 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9962 +2025-07-02 08:42:00,116 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9498, top5_acc: 0.9962 +2025-07-02 08:42:42,575 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:38:07, time: 0.425, data_time: 0.237, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3129, loss: 0.3129 +2025-07-02 08:43:01,074 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:37:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3516, loss: 0.3516 +2025-07-02 08:43:19,301 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:37:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9925, loss_cls: 0.3401, loss: 0.3401 +2025-07-02 08:43:37,730 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:37:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9975, loss_cls: 0.2829, loss: 0.2829 +2025-07-02 08:43:56,072 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:36:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3950, loss: 0.3950 +2025-07-02 08:44:14,457 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:36:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9950, loss_cls: 0.2883, loss: 0.2883 +2025-07-02 08:44:32,345 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:36:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9969, loss_cls: 0.3366, loss: 0.3366 +2025-07-02 08:44:50,766 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:35:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9912, loss_cls: 0.4422, loss: 0.4422 +2025-07-02 08:45:09,399 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 08:45:46,991 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:45:47,014 - pyskl - INFO - +top1_acc 0.9342 +top5_acc 0.9935 +2025-07-02 08:45:47,016 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9342, top5_acc: 0.9935 +2025-07-02 08:46:28,997 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:35:21, time: 0.420, data_time: 0.236, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9925, loss_cls: 0.2915, loss: 0.2915 +2025-07-02 08:46:47,191 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:35:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3604, loss: 0.3604 +2025-07-02 08:47:05,420 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:34:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9975, loss_cls: 0.2650, loss: 0.2650 +2025-07-02 08:47:23,776 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:34:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2914, loss: 0.2914 +2025-07-02 08:47:41,883 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:34:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9938, loss_cls: 0.3693, loss: 0.3693 +2025-07-02 08:48:00,324 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:33:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3516, loss: 0.3516 +2025-07-02 08:48:18,431 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:33:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 0.3487, loss: 0.3487 +2025-07-02 08:48:37,068 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:33:07, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3753, loss: 0.3753 +2025-07-02 08:48:55,802 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 08:49:32,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:49:32,652 - pyskl - INFO - +top1_acc 0.9555 +top5_acc 0.9967 +2025-07-02 08:49:32,653 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9555, top5_acc: 0.9967 +2025-07-02 08:50:15,756 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:32:36, time: 0.431, data_time: 0.241, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9944, loss_cls: 0.2886, loss: 0.2886 +2025-07-02 08:50:33,867 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:32:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3170, loss: 0.3170 +2025-07-02 08:50:52,014 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:31:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9944, loss_cls: 0.3050, loss: 0.3050 +2025-07-02 08:51:09,916 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:31:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.2944, loss: 0.2944 +2025-07-02 08:51:27,721 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:31:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3384, loss: 0.3384 +2025-07-02 08:51:46,048 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:30:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3648, loss: 0.3648 +2025-07-02 08:52:04,470 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:30:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9912, loss_cls: 0.3187, loss: 0.3187 +2025-07-02 08:52:22,566 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:30:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9938, loss_cls: 0.3868, loss: 0.3868 +2025-07-02 08:52:40,937 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 08:53:17,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:53:17,501 - pyskl - INFO - +top1_acc 0.9503 +top5_acc 0.9957 +2025-07-02 08:53:17,502 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9503, top5_acc: 0.9957 +2025-07-02 08:54:00,053 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:29:49, time: 0.425, data_time: 0.238, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2593, loss: 0.2593 +2025-07-02 08:54:18,150 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:29:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9938, loss_cls: 0.2878, loss: 0.2878 +2025-07-02 08:54:36,138 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:29:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2817, loss: 0.2817 +2025-07-02 08:54:54,535 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:28:52, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2779, loss: 0.2779 +2025-07-02 08:55:12,838 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:28:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9956, loss_cls: 0.3512, loss: 0.3512 +2025-07-02 08:55:31,151 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:28:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9944, loss_cls: 0.3249, loss: 0.3249 +2025-07-02 08:55:49,121 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:27:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.3896, loss: 0.3896 +2025-07-02 08:56:07,828 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:27:35, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9950, loss_cls: 0.3601, loss: 0.3601 +2025-07-02 08:56:26,561 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 08:57:04,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:57:04,409 - pyskl - INFO - +top1_acc 0.9591 +top5_acc 0.9961 +2025-07-02 08:57:04,410 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9591, top5_acc: 0.9961 +2025-07-02 08:57:47,205 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:27:04, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2485, loss: 0.2485 +2025-07-02 08:58:05,092 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:26:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9962, loss_cls: 0.3470, loss: 0.3470 +2025-07-02 08:58:23,488 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:26:25, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3413, loss: 0.3413 +2025-07-02 08:58:41,705 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:26:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.2918, loss: 0.2918 +2025-07-02 08:58:59,849 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:25:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3372, loss: 0.3372 +2025-07-02 08:59:17,980 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:25:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2901, loss: 0.2901 +2025-07-02 08:59:36,232 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:25:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.2786, loss: 0.2786 +2025-07-02 08:59:54,546 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:24:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4027, loss: 0.4027 +2025-07-02 09:00:13,512 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 09:00:50,899 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:00:50,928 - pyskl - INFO - +top1_acc 0.9569 +top5_acc 0.9962 +2025-07-02 09:00:50,929 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9569, top5_acc: 0.9962 +2025-07-02 09:01:33,780 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:24:17, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2783, loss: 0.2783 +2025-07-02 09:01:51,578 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:23:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3090, loss: 0.3090 +2025-07-02 09:02:09,761 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:23:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9956, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 09:02:27,839 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:23:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9912, loss_cls: 0.3468, loss: 0.3468 +2025-07-02 09:02:45,866 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:23:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.3093, loss: 0.3093 +2025-07-02 09:03:04,073 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:22:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9981, loss_cls: 0.2897, loss: 0.2897 +2025-07-02 09:03:22,062 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:22:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.3097, loss: 0.3097 +2025-07-02 09:03:40,794 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:22:03, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3199, loss: 0.3199 +2025-07-02 09:03:59,754 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 09:04:37,693 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:04:37,722 - pyskl - INFO - +top1_acc 0.9492 +top5_acc 0.9975 +2025-07-02 09:04:37,724 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9492, top5_acc: 0.9975 +2025-07-02 09:05:20,083 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:21:30, time: 0.424, data_time: 0.237, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3880, loss: 0.3880 +2025-07-02 09:05:38,021 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:21:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 09:05:56,214 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:20:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9962, loss_cls: 0.3059, loss: 0.3059 +2025-07-02 09:06:14,297 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:20:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3477, loss: 0.3477 +2025-07-02 09:06:32,628 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:20:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3188, loss: 0.3188 +2025-07-02 09:06:50,551 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:19:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.3084, loss: 0.3084 +2025-07-02 09:07:08,484 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:19:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2869, loss: 0.2869 +2025-07-02 09:07:26,664 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:19:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 09:07:45,507 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 09:08:23,264 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:08:23,287 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9964 +2025-07-02 09:08:23,288 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9498, top5_acc: 0.9964 +2025-07-02 09:09:05,916 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:18:43, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9975, loss_cls: 0.2968, loss: 0.2968 +2025-07-02 09:09:23,973 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:18:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9962, loss_cls: 0.3224, loss: 0.3224 +2025-07-02 09:09:42,041 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:18:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3192, loss: 0.3192 +2025-07-02 09:10:00,208 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:17:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9950, loss_cls: 0.3146, loss: 0.3146 +2025-07-02 09:10:18,517 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:17:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9950, loss_cls: 0.3062, loss: 0.3062 +2025-07-02 09:10:36,762 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:17:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3111, loss: 0.3111 +2025-07-02 09:10:55,040 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:16:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9919, loss_cls: 0.3020, loss: 0.3020 +2025-07-02 09:11:13,349 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:16:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9969, loss_cls: 0.3363, loss: 0.3363 +2025-07-02 09:11:32,282 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 09:12:10,011 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:12:10,034 - pyskl - INFO - +top1_acc 0.9599 +top5_acc 0.9962 +2025-07-02 09:12:10,035 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9599, top5_acc: 0.9962 +2025-07-02 09:12:53,342 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:15:57, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9950, loss_cls: 0.2766, loss: 0.2766 +2025-07-02 09:13:11,224 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:15:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9975, loss_cls: 0.3117, loss: 0.3117 +2025-07-02 09:13:29,069 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:15:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3193, loss: 0.3193 +2025-07-02 09:13:47,330 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:14:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2996, loss: 0.2996 +2025-07-02 09:14:05,768 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:14:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2822, loss: 0.2822 +2025-07-02 09:14:23,792 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:14:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2177, loss: 0.2177 +2025-07-02 09:14:41,695 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:14:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2512, loss: 0.2512 +2025-07-02 09:14:59,886 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:13:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3171, loss: 0.3171 +2025-07-02 09:15:18,326 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 09:15:55,873 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:15:55,895 - pyskl - INFO - +top1_acc 0.9570 +top5_acc 0.9960 +2025-07-02 09:15:55,896 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9570, top5_acc: 0.9960 +2025-07-02 09:16:39,084 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:13:10, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9938, loss_cls: 0.2899, loss: 0.2899 +2025-07-02 09:16:56,894 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:12:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9944, loss_cls: 0.3256, loss: 0.3256 +2025-07-02 09:17:15,001 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:12:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2604, loss: 0.2604 +2025-07-02 09:17:33,310 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:12:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9981, loss_cls: 0.2925, loss: 0.2925 +2025-07-02 09:17:51,473 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:11:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3133, loss: 0.3133 +2025-07-02 09:18:09,840 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:11:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.3151, loss: 0.3151 +2025-07-02 09:18:27,951 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:11:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9988, loss_cls: 0.3097, loss: 0.3097 +2025-07-02 09:18:46,497 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:10:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9956, loss_cls: 0.3387, loss: 0.3387 +2025-07-02 09:19:05,309 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 09:19:42,991 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:19:43,014 - pyskl - INFO - +top1_acc 0.9521 +top5_acc 0.9962 +2025-07-02 09:19:43,015 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9521, top5_acc: 0.9962 +2025-07-02 09:20:26,201 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:10:24, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2568, loss: 0.2568 +2025-07-02 09:20:44,540 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:10:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.2720, loss: 0.2720 +2025-07-02 09:21:02,871 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:09:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9925, loss_cls: 0.2779, loss: 0.2779 +2025-07-02 09:21:21,175 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:09:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2170, loss: 0.2170 +2025-07-02 09:21:39,652 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:09:08, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9975, loss_cls: 0.3445, loss: 0.3445 +2025-07-02 09:21:57,949 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:08:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2537, loss: 0.2537 +2025-07-02 09:22:16,505 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:08:30, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9950, loss_cls: 0.3661, loss: 0.3661 +2025-07-02 09:22:34,717 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:08:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9962, loss_cls: 0.3531, loss: 0.3531 +2025-07-02 09:22:53,254 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 09:23:31,875 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:23:31,902 - pyskl - INFO - +top1_acc 0.9484 +top5_acc 0.9960 +2025-07-02 09:23:31,904 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9484, top5_acc: 0.9960 +2025-07-02 09:24:15,050 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:07:38, time: 0.431, data_time: 0.243, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2559, loss: 0.2559 +2025-07-02 09:24:33,077 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:07:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.2834, loss: 0.2834 +2025-07-02 09:24:51,163 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:07:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2848, loss: 0.2848 +2025-07-02 09:25:09,536 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:06:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9944, loss_cls: 0.3059, loss: 0.3059 +2025-07-02 09:25:27,645 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:06:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3104, loss: 0.3104 +2025-07-02 09:25:45,473 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:06:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2375, loss: 0.2375 +2025-07-02 09:26:03,730 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:05:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2461, loss: 0.2461 +2025-07-02 09:26:22,326 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:05:24, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9950, loss_cls: 0.3084, loss: 0.3084 +2025-07-02 09:26:40,997 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 09:27:18,610 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:27:18,633 - pyskl - INFO - +top1_acc 0.9581 +top5_acc 0.9968 +2025-07-02 09:27:18,634 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9581, top5_acc: 0.9968 +2025-07-02 09:28:01,313 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:04:51, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2136, loss: 0.2136 +2025-07-02 09:28:19,577 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:04:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9912, loss_cls: 0.2486, loss: 0.2486 +2025-07-02 09:28:37,934 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:04:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2558, loss: 0.2558 +2025-07-02 09:28:56,006 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:03:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9950, loss_cls: 0.2431, loss: 0.2431 +2025-07-02 09:29:14,514 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:03:35, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2572, loss: 0.2572 +2025-07-02 09:29:32,601 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:03:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9956, loss_cls: 0.2693, loss: 0.2693 +2025-07-02 09:29:50,984 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:02:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 0.3142, loss: 0.3142 +2025-07-02 09:30:09,259 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:02:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3044, loss: 0.3044 +2025-07-02 09:30:28,043 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 09:31:05,487 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:31:05,516 - pyskl - INFO - +top1_acc 0.9503 +top5_acc 0.9962 +2025-07-02 09:31:05,517 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9503, top5_acc: 0.9962 +2025-07-02 09:31:48,159 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:02:05, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2832, loss: 0.2832 +2025-07-02 09:32:06,826 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:01:46, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2504, loss: 0.2504 +2025-07-02 09:32:25,302 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:01:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2573, loss: 0.2573 +2025-07-02 09:32:43,474 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:01:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 09:33:02,115 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 3:00:49, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2419, loss: 0.2419 +2025-07-02 09:33:19,850 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 3:00:29, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2785, loss: 0.2785 +2025-07-02 09:33:38,066 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 3:00:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2805, loss: 0.2805 +2025-07-02 09:33:56,257 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:59:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9919, loss_cls: 0.3649, loss: 0.3649 +2025-07-02 09:34:15,008 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 09:34:52,221 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:34:52,244 - pyskl - INFO - +top1_acc 0.9583 +top5_acc 0.9964 +2025-07-02 09:34:52,245 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9583, top5_acc: 0.9964 +2025-07-02 09:35:34,315 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:59:18, time: 0.421, data_time: 0.237, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9944, loss_cls: 0.2419, loss: 0.2419 +2025-07-02 09:35:52,527 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:58:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2587, loss: 0.2587 +2025-07-02 09:36:10,442 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:58:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2611, loss: 0.2611 +2025-07-02 09:36:28,336 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:58:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9962, loss_cls: 0.3041, loss: 0.3041 +2025-07-02 09:36:46,709 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:58:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9956, loss_cls: 0.3039, loss: 0.3039 +2025-07-02 09:37:04,685 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:57:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9938, loss_cls: 0.2624, loss: 0.2624 +2025-07-02 09:37:22,630 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:57:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9944, loss_cls: 0.2659, loss: 0.2659 +2025-07-02 09:37:41,048 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:57:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.2765, loss: 0.2765 +2025-07-02 09:37:59,778 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 09:38:36,856 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:38:36,885 - pyskl - INFO - +top1_acc 0.9613 +top5_acc 0.9967 +2025-07-02 09:38:36,886 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9613, top5_acc: 0.9967 +2025-07-02 09:39:19,798 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:56:30, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2233, loss: 0.2233 +2025-07-02 09:39:37,927 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:56:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9988, loss_cls: 0.2248, loss: 0.2248 +2025-07-02 09:39:56,146 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:55:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2617, loss: 0.2617 +2025-07-02 09:40:14,643 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:55:33, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2455, loss: 0.2455 +2025-07-02 09:40:32,829 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:55:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2348, loss: 0.2348 +2025-07-02 09:40:51,207 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:54:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2169, loss: 0.2169 +2025-07-02 09:41:09,177 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:54:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2459, loss: 0.2459 +2025-07-02 09:41:27,290 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:54:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9975, loss_cls: 0.3002, loss: 0.3002 +2025-07-02 09:41:46,225 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 09:42:23,372 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:42:23,395 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9962 +2025-07-02 09:42:23,399 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_69.pth was removed +2025-07-02 09:42:23,567 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2025-07-02 09:42:23,567 - pyskl - INFO - Best top1_acc is 0.9630 at 88 epoch. +2025-07-02 09:42:23,569 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9630, top5_acc: 0.9962 +2025-07-02 09:43:07,109 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:53:43, time: 0.435, data_time: 0.251, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.2771, loss: 0.2771 +2025-07-02 09:43:25,653 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:53:25, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9988, loss_cls: 0.2088, loss: 0.2088 +2025-07-02 09:43:44,050 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:53:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9944, loss_cls: 0.2567, loss: 0.2567 +2025-07-02 09:44:02,383 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:52:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2426, loss: 0.2426 +2025-07-02 09:44:20,611 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:52:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9956, loss_cls: 0.2526, loss: 0.2526 +2025-07-02 09:44:38,638 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:52:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9969, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 09:44:56,754 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:51:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9975, loss_cls: 0.2462, loss: 0.2462 +2025-07-02 09:45:15,107 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:51:30, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2765, loss: 0.2765 +2025-07-02 09:45:34,404 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 09:46:12,738 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:46:12,773 - pyskl - INFO - +top1_acc 0.9594 +top5_acc 0.9967 +2025-07-02 09:46:12,774 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9594, top5_acc: 0.9967 +2025-07-02 09:46:57,000 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:50:58, time: 0.442, data_time: 0.253, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2587, loss: 0.2587 +2025-07-02 09:47:15,469 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:50:39, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2294, loss: 0.2294 +2025-07-02 09:47:33,227 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:50:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2453, loss: 0.2453 +2025-07-02 09:47:51,052 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:50:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 09:48:09,203 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:49:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2937, loss: 0.2937 +2025-07-02 09:48:27,172 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:49:21, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2374, loss: 0.2374 +2025-07-02 09:48:45,195 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:49:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9925, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 09:49:03,381 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:48:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3116, loss: 0.3116 +2025-07-02 09:49:22,422 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 09:50:02,387 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:50:02,412 - pyskl - INFO - +top1_acc 0.9588 +top5_acc 0.9957 +2025-07-02 09:50:02,413 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9588, top5_acc: 0.9957 +2025-07-02 09:50:45,356 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:48:10, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.2145, loss: 0.2145 +2025-07-02 09:51:03,744 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:47:51, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9975, loss_cls: 0.1943, loss: 0.1943 +2025-07-02 09:51:21,717 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:47:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9944, loss_cls: 0.2461, loss: 0.2461 +2025-07-02 09:51:39,943 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:47:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2152, loss: 0.2152 +2025-07-02 09:51:58,155 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:46:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9956, loss_cls: 0.2524, loss: 0.2524 +2025-07-02 09:52:16,247 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:46:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9956, loss_cls: 0.1937, loss: 0.1937 +2025-07-02 09:52:34,878 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:46:15, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9981, loss_cls: 0.2263, loss: 0.2263 +2025-07-02 09:52:52,974 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:45:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9950, loss_cls: 0.2605, loss: 0.2605 +2025-07-02 09:53:11,569 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 09:53:50,408 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:53:50,436 - pyskl - INFO - +top1_acc 0.9662 +top5_acc 0.9971 +2025-07-02 09:53:50,441 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_88.pth was removed +2025-07-02 09:53:50,616 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-07-02 09:53:50,616 - pyskl - INFO - Best top1_acc is 0.9662 at 91 epoch. +2025-07-02 09:53:50,618 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9662, top5_acc: 0.9971 +2025-07-02 09:54:33,457 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:45:22, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2713, loss: 0.2713 +2025-07-02 09:54:51,914 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:45:04, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9962, loss_cls: 0.2562, loss: 0.2562 +2025-07-02 09:55:10,317 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:44:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.2680, loss: 0.2680 +2025-07-02 09:55:28,530 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:44:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2540, loss: 0.2540 +2025-07-02 09:55:46,925 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:44:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2239, loss: 0.2239 +2025-07-02 09:56:04,751 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:43:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1855, loss: 0.1855 +2025-07-02 09:56:23,198 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:43:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2211, loss: 0.2211 +2025-07-02 09:56:41,591 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:43:09, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2838, loss: 0.2838 +2025-07-02 09:57:00,142 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 09:57:38,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:57:38,333 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9969 +2025-07-02 09:57:38,335 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9645, top5_acc: 0.9969 +2025-07-02 09:58:21,727 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:42:36, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1792, loss: 0.1792 +2025-07-02 09:58:39,682 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:42:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2418, loss: 0.2418 +2025-07-02 09:58:57,877 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:41:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9950, loss_cls: 0.2307, loss: 0.2307 +2025-07-02 09:59:16,102 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:41:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2279, loss: 0.2279 +2025-07-02 09:59:34,561 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:41:19, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9962, loss_cls: 0.2391, loss: 0.2391 +2025-07-02 09:59:52,571 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:41:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9988, loss_cls: 0.3058, loss: 0.3058 +2025-07-02 10:00:11,094 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:40:41, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2352, loss: 0.2352 +2025-07-02 10:00:29,266 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:40:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2661, loss: 0.2661 +2025-07-02 10:00:48,554 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 10:01:27,237 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:01:27,268 - pyskl - INFO - +top1_acc 0.9655 +top5_acc 0.9965 +2025-07-02 10:01:27,269 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9655, top5_acc: 0.9965 +2025-07-02 10:02:10,831 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:39:49, time: 0.436, data_time: 0.252, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.2089, loss: 0.2089 +2025-07-02 10:02:28,772 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:39:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2149, loss: 0.2149 +2025-07-02 10:02:46,533 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:39:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.2261, loss: 0.2261 +2025-07-02 10:03:04,468 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:38:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2272, loss: 0.2272 +2025-07-02 10:03:22,451 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:38:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9944, loss_cls: 0.2265, loss: 0.2265 +2025-07-02 10:03:40,377 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:38:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9988, loss_cls: 0.1821, loss: 0.1821 +2025-07-02 10:03:58,659 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9944, loss_cls: 0.2337, loss: 0.2337 +2025-07-02 10:04:16,965 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:37:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2527, loss: 0.2527 +2025-07-02 10:04:35,787 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 10:05:13,951 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:05:13,979 - pyskl - INFO - +top1_acc 0.9647 +top5_acc 0.9976 +2025-07-02 10:05:13,981 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9647, top5_acc: 0.9976 +2025-07-02 10:05:57,208 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:37:01, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.1929, loss: 0.1929 +2025-07-02 10:06:15,342 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:36:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1945, loss: 0.1945 +2025-07-02 10:06:33,468 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:36:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1920, loss: 0.1920 +2025-07-02 10:06:52,029 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:36:04, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 10:07:09,859 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:35:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9956, loss_cls: 0.2119, loss: 0.2119 +2025-07-02 10:07:28,205 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:35:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1930, loss: 0.1930 +2025-07-02 10:07:46,331 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:35:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9975, loss_cls: 0.1997, loss: 0.1997 +2025-07-02 10:08:04,686 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:34:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9950, loss_cls: 0.2582, loss: 0.2582 +2025-07-02 10:08:23,266 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 10:09:01,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:09:01,074 - pyskl - INFO - +top1_acc 0.9610 +top5_acc 0.9960 +2025-07-02 10:09:01,076 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9610, top5_acc: 0.9960 +2025-07-02 10:09:46,101 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:34:14, time: 0.450, data_time: 0.261, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2106, loss: 0.2106 +2025-07-02 10:10:04,361 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 1.0000, loss_cls: 0.1750, loss: 0.1750 +2025-07-02 10:10:22,587 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:33:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9975, loss_cls: 0.2613, loss: 0.2613 +2025-07-02 10:10:40,797 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:33:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9944, loss_cls: 0.2062, loss: 0.2062 +2025-07-02 10:10:58,576 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:32:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9962, loss_cls: 0.2002, loss: 0.2002 +2025-07-02 10:11:16,687 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:32:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1559, loss: 0.1559 +2025-07-02 10:11:34,639 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:32:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.1969, loss: 0.1969 +2025-07-02 10:11:52,705 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:32:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2255, loss: 0.2255 +2025-07-02 10:12:11,342 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 10:12:49,812 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:12:49,835 - pyskl - INFO - +top1_acc 0.9624 +top5_acc 0.9964 +2025-07-02 10:12:49,837 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9624, top5_acc: 0.9964 +2025-07-02 10:13:32,460 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:31:26, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2340, loss: 0.2340 +2025-07-02 10:13:50,256 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:31:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9956, loss_cls: 0.2008, loss: 0.2008 +2025-07-02 10:14:08,151 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1854, loss: 0.1854 +2025-07-02 10:14:26,177 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:30:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1599, loss: 0.1599 +2025-07-02 10:14:44,196 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:30:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9962, loss_cls: 0.2150, loss: 0.2150 +2025-07-02 10:15:01,828 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:50, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9944, loss_cls: 0.1899, loss: 0.1899 +2025-07-02 10:15:19,803 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:29:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2335, loss: 0.2335 +2025-07-02 10:15:37,857 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:29:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2353, loss: 0.2353 +2025-07-02 10:15:56,112 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 10:16:35,954 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:16:35,984 - pyskl - INFO - +top1_acc 0.9584 +top5_acc 0.9965 +2025-07-02 10:16:35,985 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9584, top5_acc: 0.9965 +2025-07-02 10:17:18,488 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:28:37, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1803, loss: 0.1803 +2025-07-02 10:17:36,506 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:28:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1761, loss: 0.1761 +2025-07-02 10:17:54,243 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1563, loss: 0.1563 +2025-07-02 10:18:12,140 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:27:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 10:18:29,882 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:27:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2036, loss: 0.2036 +2025-07-02 10:18:47,556 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:27:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1875, loss: 0.1875 +2025-07-02 10:19:05,466 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:26:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.1849, loss: 0.1849 +2025-07-02 10:19:23,612 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:26:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2396, loss: 0.2396 +2025-07-02 10:19:42,160 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 10:20:19,841 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:20:19,866 - pyskl - INFO - +top1_acc 0.9620 +top5_acc 0.9971 +2025-07-02 10:20:19,868 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9620, top5_acc: 0.9971 +2025-07-02 10:21:02,643 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:48, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1821, loss: 0.1821 +2025-07-02 10:21:20,445 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:25:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1650, loss: 0.1650 +2025-07-02 10:21:38,028 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:25:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1631, loss: 0.1631 +2025-07-02 10:21:56,139 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1592, loss: 0.1592 +2025-07-02 10:22:13,874 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:24:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1888, loss: 0.1888 +2025-07-02 10:22:31,665 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:24:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1545, loss: 0.1545 +2025-07-02 10:22:49,711 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1760, loss: 0.1760 +2025-07-02 10:23:07,567 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:23:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2029, loss: 0.2029 +2025-07-02 10:23:26,067 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 10:24:03,293 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:24:03,324 - pyskl - INFO - +top1_acc 0.9648 +top5_acc 0.9974 +2025-07-02 10:24:03,325 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9648, top5_acc: 0.9974 +2025-07-02 10:24:45,914 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:59, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9944, loss_cls: 0.1810, loss: 0.1810 +2025-07-02 10:25:04,021 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:22:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2019, loss: 0.2019 +2025-07-02 10:25:21,600 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:22:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9981, loss_cls: 0.1753, loss: 0.1753 +2025-07-02 10:25:39,693 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:22:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2020, loss: 0.2020 +2025-07-02 10:25:57,548 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:42, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2123, loss: 0.2123 +2025-07-02 10:26:15,521 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:21:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2100, loss: 0.2100 +2025-07-02 10:26:33,753 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:21:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9994, loss_cls: 0.1706, loss: 0.1706 +2025-07-02 10:26:51,955 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2135, loss: 0.2135 +2025-07-02 10:27:10,065 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 10:27:47,556 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:27:47,581 - pyskl - INFO - +top1_acc 0.9701 +top5_acc 0.9969 +2025-07-02 10:27:47,586 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_91.pth was removed +2025-07-02 10:27:47,808 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_100.pth. +2025-07-02 10:27:47,809 - pyskl - INFO - Best top1_acc is 0.9701 at 100 epoch. +2025-07-02 10:27:47,811 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9701, top5_acc: 0.9969 +2025-07-02 10:28:31,805 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:20:11, time: 0.440, data_time: 0.257, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1372, loss: 0.1372 +2025-07-02 10:28:49,472 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 10:29:07,603 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:19:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1532, loss: 0.1532 +2025-07-02 10:29:25,538 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:19:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1471, loss: 0.1471 +2025-07-02 10:29:43,632 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9962, loss_cls: 0.1565, loss: 0.1565 +2025-07-02 10:30:01,479 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:18:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1822, loss: 0.1822 +2025-07-02 10:30:19,258 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:18:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1664, loss: 0.1664 +2025-07-02 10:30:37,026 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.1970, loss: 0.1970 +2025-07-02 10:30:55,294 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 10:31:32,527 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:31:32,557 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9976 +2025-07-02 10:31:32,558 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9679, top5_acc: 0.9976 +2025-07-02 10:32:15,481 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:17:22, time: 0.429, data_time: 0.244, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 10:32:33,473 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:17:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9962, loss_cls: 0.1583, loss: 0.1583 +2025-07-02 10:32:51,472 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1639, loss: 0.1639 +2025-07-02 10:33:09,508 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:16:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1322, loss: 0.1322 +2025-07-02 10:33:27,282 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:16:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1676, loss: 0.1676 +2025-07-02 10:33:44,870 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:46, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9962, loss_cls: 0.1886, loss: 0.1886 +2025-07-02 10:34:02,552 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:15:27, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9994, loss_cls: 0.1910, loss: 0.1910 +2025-07-02 10:34:20,367 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:15:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1901, loss: 0.1901 +2025-07-02 10:34:38,708 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 10:35:16,435 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:35:16,463 - pyskl - INFO - +top1_acc 0.9660 +top5_acc 0.9965 +2025-07-02 10:35:16,464 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9660, top5_acc: 0.9965 +2025-07-02 10:35:59,745 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:14:33, time: 0.433, data_time: 0.250, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1832, loss: 0.1832 +2025-07-02 10:36:17,590 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:14:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1348, loss: 0.1348 +2025-07-02 10:36:35,309 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1572, loss: 0.1572 +2025-07-02 10:36:53,315 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1506, loss: 0.1506 +2025-07-02 10:37:11,315 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:13:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9969, loss_cls: 0.1740, loss: 0.1740 +2025-07-02 10:37:29,107 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1700, loss: 0.1700 +2025-07-02 10:37:47,072 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1954, loss: 0.1954 +2025-07-02 10:38:04,884 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:12:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1806, loss: 0.1806 +2025-07-02 10:38:23,315 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 10:39:00,992 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:39:01,023 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9968 +2025-07-02 10:39:01,024 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9698, top5_acc: 0.9968 +2025-07-02 10:39:43,535 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:44, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1397, loss: 0.1397 +2025-07-02 10:40:01,163 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:11:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.1172, loss: 0.1172 +2025-07-02 10:40:19,202 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:11:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1306, loss: 0.1306 +2025-07-02 10:40:37,023 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 1.0000, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 10:40:55,211 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:10:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 1.0000, loss_cls: 0.1392, loss: 0.1392 +2025-07-02 10:41:12,725 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:10:08, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1243, loss: 0.1243 +2025-07-02 10:41:30,364 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:49, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1518, loss: 0.1518 +2025-07-02 10:41:47,991 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:09:30, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9950, loss_cls: 0.1863, loss: 0.1863 +2025-07-02 10:42:06,369 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 10:42:44,128 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:42:44,151 - pyskl - INFO - +top1_acc 0.9669 +top5_acc 0.9969 +2025-07-02 10:42:44,153 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9669, top5_acc: 0.9969 +2025-07-02 10:43:27,344 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:55, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1389, loss: 0.1389 +2025-07-02 10:43:45,012 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:36, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1588, loss: 0.1588 +2025-07-02 10:44:02,936 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:08:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9975, loss_cls: 0.1506, loss: 0.1506 +2025-07-02 10:44:20,859 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1714, loss: 0.1714 +2025-07-02 10:44:38,542 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 10:44:56,465 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:07:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1120, loss: 0.1120 +2025-07-02 10:45:14,211 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:07:00, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1408, loss: 0.1408 +2025-07-02 10:45:32,492 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.1965, loss: 0.1965 +2025-07-02 10:45:51,095 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 10:46:29,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:46:29,030 - pyskl - INFO - +top1_acc 0.9654 +top5_acc 0.9969 +2025-07-02 10:46:29,031 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9654, top5_acc: 0.9969 +2025-07-02 10:47:12,087 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:06:07, time: 0.431, data_time: 0.249, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.1647, loss: 0.1647 +2025-07-02 10:47:30,004 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1695, loss: 0.1695 +2025-07-02 10:47:47,975 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:05:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1482, loss: 0.1482 +2025-07-02 10:48:05,862 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:05:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1318, loss: 0.1318 +2025-07-02 10:48:24,299 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1342, loss: 0.1342 +2025-07-02 10:48:42,045 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:31, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1666, loss: 0.1666 +2025-07-02 10:49:00,444 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:04:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1592, loss: 0.1592 +2025-07-02 10:49:18,937 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:53, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1564, loss: 0.1564 +2025-07-02 10:49:37,826 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 10:50:15,915 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:50:15,938 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9969 +2025-07-02 10:50:15,943 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_100.pth was removed +2025-07-02 10:50:16,116 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2025-07-02 10:50:16,116 - pyskl - INFO - Best top1_acc is 0.9702 at 106 epoch. +2025-07-02 10:50:16,118 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9702, top5_acc: 0.9969 +2025-07-02 10:50:58,554 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:03:18, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1293, loss: 0.1293 +2025-07-02 10:51:16,332 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1020, loss: 0.1020 +2025-07-02 10:51:34,470 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1260, loss: 0.1260 +2025-07-02 10:51:52,355 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:02:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1165, loss: 0.1165 +2025-07-02 10:52:10,352 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:02:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1233, loss: 0.1233 +2025-07-02 10:52:28,303 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1232, loss: 0.1232 +2025-07-02 10:52:45,868 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:01:24, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1426, loss: 0.1426 +2025-07-02 10:53:03,592 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:01:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1886, loss: 0.1886 +2025-07-02 10:53:22,055 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 10:54:00,272 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:54:00,295 - pyskl - INFO - +top1_acc 0.9688 +top5_acc 0.9981 +2025-07-02 10:54:00,296 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9688, top5_acc: 0.9981 +2025-07-02 10:54:42,606 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:29, time: 0.423, data_time: 0.239, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1067, loss: 0.1067 +2025-07-02 10:55:00,325 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 2:00:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1545, loss: 0.1545 +2025-07-02 10:55:18,380 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1233, loss: 0.1233 +2025-07-02 10:55:36,441 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1308, loss: 0.1308 +2025-07-02 10:55:54,271 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:59:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9969, loss_cls: 0.1567, loss: 0.1567 +2025-07-02 10:56:11,918 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:54, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1294, loss: 0.1294 +2025-07-02 10:56:29,681 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1366, loss: 0.1366 +2025-07-02 10:56:47,520 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:58:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9994, loss_cls: 0.1891, loss: 0.1891 +2025-07-02 10:57:05,596 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 10:57:43,050 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:57:43,088 - pyskl - INFO - +top1_acc 0.9699 +top5_acc 0.9976 +2025-07-02 10:57:43,090 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9699, top5_acc: 0.9976 +2025-07-02 10:58:25,564 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:40, time: 0.425, data_time: 0.246, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1200, loss: 0.1200 +2025-07-02 10:58:43,438 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:57:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 10:59:01,347 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:57:02, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9962, loss_cls: 0.1231, loss: 0.1231 +2025-07-02 10:59:18,954 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:43, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 10:59:36,791 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:56:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1451, loss: 0.1451 +2025-07-02 10:59:54,772 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:56:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.1046, loss: 0.1046 +2025-07-02 11:00:12,588 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1051, loss: 0.1051 +2025-07-02 11:00:30,510 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 11:00:48,612 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 11:01:26,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:01:26,202 - pyskl - INFO - +top1_acc 0.9684 +top5_acc 0.9974 +2025-07-02 11:01:26,204 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9684, top5_acc: 0.9974 +2025-07-02 11:02:08,986 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:51, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1553, loss: 0.1553 +2025-07-02 11:02:26,580 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:32, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9981, loss_cls: 0.1243, loss: 0.1243 +2025-07-02 11:02:44,422 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:54:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1375, loss: 0.1375 +2025-07-02 11:03:02,243 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1317, loss: 0.1317 +2025-07-02 11:03:20,340 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:35, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9962, loss_cls: 0.1370, loss: 0.1370 +2025-07-02 11:03:38,371 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:53:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1496, loss: 0.1496 +2025-07-02 11:03:56,217 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1334, loss: 0.1334 +2025-07-02 11:04:14,004 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1127, loss: 0.1127 +2025-07-02 11:04:32,256 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 11:05:09,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:05:09,901 - pyskl - INFO - +top1_acc 0.9719 +top5_acc 0.9967 +2025-07-02 11:05:09,905 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_106.pth was removed +2025-07-02 11:05:10,076 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2025-07-02 11:05:10,076 - pyskl - INFO - Best top1_acc is 0.9719 at 110 epoch. +2025-07-02 11:05:10,078 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9719, top5_acc: 0.9967 +2025-07-02 11:05:52,361 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:52:02, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0972, loss: 0.0972 +2025-07-02 11:06:09,801 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:43, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1382, loss: 0.1382 +2025-07-02 11:06:27,625 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1275, loss: 0.1275 +2025-07-02 11:06:45,545 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:51:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 11:07:03,032 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:46, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9962, loss_cls: 0.1049, loss: 0.1049 +2025-07-02 11:07:20,919 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.1074, loss: 0.1074 +2025-07-02 11:07:38,690 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:50:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1476, loss: 0.1476 +2025-07-02 11:07:56,396 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9969, loss_cls: 0.1416, loss: 0.1416 +2025-07-02 11:08:14,265 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 11:08:52,093 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:08:52,116 - pyskl - INFO - +top1_acc 0.9666 +top5_acc 0.9974 +2025-07-02 11:08:52,117 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9666, top5_acc: 0.9974 +2025-07-02 11:09:34,852 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:49:13, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1063, loss: 0.1063 +2025-07-02 11:09:52,884 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1165, loss: 0.1165 +2025-07-02 11:10:10,783 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9962, loss_cls: 0.1418, loss: 0.1418 +2025-07-02 11:10:28,616 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:48:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1434, loss: 0.1434 +2025-07-02 11:10:46,332 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9975, loss_cls: 0.1261, loss: 0.1261 +2025-07-02 11:11:04,422 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1060, loss: 0.1060 +2025-07-02 11:11:21,940 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:47:19, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9969, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 11:11:39,773 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:47:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9981, loss_cls: 0.1496, loss: 0.1496 +2025-07-02 11:11:58,050 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 11:12:35,579 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:12:35,603 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9972 +2025-07-02 11:12:35,604 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9676, top5_acc: 0.9972 +2025-07-02 11:13:18,042 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:24, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.1153, loss: 0.1153 +2025-07-02 11:13:35,970 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:46:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 11:13:53,812 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0875, loss: 0.0875 +2025-07-02 11:14:11,654 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1012, loss: 0.1012 +2025-07-02 11:14:29,345 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:45:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1067, loss: 0.1067 +2025-07-02 11:14:47,145 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1091, loss: 0.1091 +2025-07-02 11:15:04,901 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1261, loss: 0.1261 +2025-07-02 11:15:22,508 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:44:11, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1098, loss: 0.1098 +2025-07-02 11:15:40,687 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 11:16:18,264 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:16:18,300 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9978 +2025-07-02 11:16:18,304 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_110.pth was removed +2025-07-02 11:16:18,501 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2025-07-02 11:16:18,502 - pyskl - INFO - Best top1_acc is 0.9758 at 113 epoch. +2025-07-02 11:16:18,503 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9758, top5_acc: 0.9978 +2025-07-02 11:17:01,085 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:35, time: 0.426, data_time: 0.246, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0715, loss: 0.0715 +2025-07-02 11:17:18,757 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:43:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9975, loss_cls: 0.0975, loss: 0.0975 +2025-07-02 11:17:36,676 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0778, loss: 0.0778 +2025-07-02 11:17:54,515 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0857, loss: 0.0857 +2025-07-02 11:18:12,543 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0912, loss: 0.0912 +2025-07-02 11:18:30,433 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:42:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 11:18:48,031 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1262, loss: 0.1262 +2025-07-02 11:19:05,763 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1650, loss: 0.1650 +2025-07-02 11:19:24,323 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 11:20:01,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:20:01,752 - pyskl - INFO - +top1_acc 0.9727 +top5_acc 0.9972 +2025-07-02 11:20:01,753 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9727, top5_acc: 0.9972 +2025-07-02 11:20:44,435 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:46, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0889, loss: 0.0889 +2025-07-02 11:21:02,443 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0776, loss: 0.0776 +2025-07-02 11:21:20,340 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:40:08, time: 0.179, data_time: 0.001, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1176, loss: 0.1176 +2025-07-02 11:21:38,148 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0884, loss: 0.0884 +2025-07-02 11:21:55,844 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0982, loss: 0.0982 +2025-07-02 11:22:13,517 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:39:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.0975, loss: 0.0975 +2025-07-02 11:22:31,727 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9975, loss_cls: 0.1188, loss: 0.1188 +2025-07-02 11:22:49,445 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9994, loss_cls: 0.1134, loss: 0.1134 +2025-07-02 11:23:08,544 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 11:23:47,084 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:23:47,114 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9978 +2025-07-02 11:23:47,115 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9754, top5_acc: 0.9978 +2025-07-02 11:24:29,460 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:58, time: 0.423, data_time: 0.243, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1158, loss: 0.1158 +2025-07-02 11:24:47,936 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:39, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0865, loss: 0.0865 +2025-07-02 11:25:05,748 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0949, loss: 0.0949 +2025-07-02 11:25:23,769 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:37:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0824, loss: 0.0824 +2025-07-02 11:25:41,828 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.0881, loss: 0.0881 +2025-07-02 11:25:59,727 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1056, loss: 0.1056 +2025-07-02 11:26:17,887 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:36:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0931, loss: 0.0931 +2025-07-02 11:26:35,658 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.0979, loss: 0.0979 +2025-07-02 11:26:53,707 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 11:27:31,838 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:27:31,862 - pyskl - INFO - +top1_acc 0.9747 +top5_acc 0.9974 +2025-07-02 11:27:31,863 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9747, top5_acc: 0.9974 +2025-07-02 11:28:14,350 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:35:09, time: 0.425, data_time: 0.245, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 11:28:32,495 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0940, loss: 0.0940 +2025-07-02 11:28:49,897 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:31, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9962, loss_cls: 0.1078, loss: 0.1078 +2025-07-02 11:29:07,534 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:34:12, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 11:29:25,165 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1033, loss: 0.1033 +2025-07-02 11:29:43,064 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1126, loss: 0.1126 +2025-07-02 11:30:01,109 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0876, loss: 0.0876 +2025-07-02 11:30:18,823 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:56, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1162, loss: 0.1162 +2025-07-02 11:30:37,560 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 11:31:15,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:31:15,274 - pyskl - INFO - +top1_acc 0.9743 +top5_acc 0.9975 +2025-07-02 11:31:15,275 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9743, top5_acc: 0.9975 +2025-07-02 11:31:57,534 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:20, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 11:32:15,591 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:32:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9969, loss_cls: 0.0857, loss: 0.0857 +2025-07-02 11:32:33,295 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:42, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1030, loss: 0.1030 +2025-07-02 11:32:51,072 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:23, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0819, loss: 0.0819 +2025-07-02 11:33:08,848 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:31:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0834, loss: 0.0834 +2025-07-02 11:33:26,874 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0829, loss: 0.0829 +2025-07-02 11:33:44,827 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.0955, loss: 0.0955 +2025-07-02 11:34:02,328 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:30:07, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0892, loss: 0.0892 +2025-07-02 11:34:20,330 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 11:34:57,607 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:34:57,629 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9971 +2025-07-02 11:34:57,630 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9750, top5_acc: 0.9971 +2025-07-02 11:35:39,884 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:31, time: 0.422, data_time: 0.243, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 11:35:58,040 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0751, loss: 0.0751 +2025-07-02 11:36:15,900 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0832, loss: 0.0832 +2025-07-02 11:36:33,928 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 11:36:51,819 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9975, loss_cls: 0.0980, loss: 0.0980 +2025-07-02 11:37:09,678 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.0909, loss: 0.0909 +2025-07-02 11:37:27,494 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.0995, loss: 0.0995 +2025-07-02 11:37:45,469 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0891, loss: 0.0891 +2025-07-02 11:38:03,640 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 11:38:40,885 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:38:40,908 - pyskl - INFO - +top1_acc 0.9762 +top5_acc 0.9974 +2025-07-02 11:38:40,912 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_113.pth was removed +2025-07-02 11:38:41,081 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2025-07-02 11:38:41,081 - pyskl - INFO - Best top1_acc is 0.9762 at 119 epoch. +2025-07-02 11:38:41,083 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9762, top5_acc: 0.9974 +2025-07-02 11:39:23,757 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:43, time: 0.427, data_time: 0.247, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9969, loss_cls: 0.1086, loss: 0.1086 +2025-07-02 11:39:41,560 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:24, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0897, loss: 0.0897 +2025-07-02 11:39:59,225 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:26:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9969, loss_cls: 0.0896, loss: 0.0896 +2025-07-02 11:40:17,343 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0904, loss: 0.0904 +2025-07-02 11:40:34,991 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:27, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0792, loss: 0.0792 +2025-07-02 11:40:52,737 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:25:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0816, loss: 0.0816 +2025-07-02 11:41:10,432 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 11:41:28,120 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.0934, loss: 0.0934 +2025-07-02 11:41:46,182 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 11:42:24,108 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:42:24,131 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9974 +2025-07-02 11:42:24,132 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9750, top5_acc: 0.9974 +2025-07-02 11:43:08,332 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:54, time: 0.442, data_time: 0.260, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0705, loss: 0.0705 +2025-07-02 11:43:26,415 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0619, loss: 0.0619 +2025-07-02 11:43:44,110 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 11:44:01,720 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:57, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 11:44:19,736 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0725, loss: 0.0725 +2025-07-02 11:44:37,612 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0656, loss: 0.0656 +2025-07-02 11:44:55,569 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:22:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 11:45:13,413 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0972, loss: 0.0972 +2025-07-02 11:45:31,523 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 11:46:09,249 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:46:09,277 - pyskl - INFO - +top1_acc 0.9733 +top5_acc 0.9971 +2025-07-02 11:46:09,278 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9733, top5_acc: 0.9971 +2025-07-02 11:46:52,459 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:21:06, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0795, loss: 0.0795 +2025-07-02 11:47:10,621 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 11:47:28,402 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 11:47:46,351 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 11:48:04,367 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0781, loss: 0.0781 +2025-07-02 11:48:22,827 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:31, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0657, loss: 0.0657 +2025-07-02 11:48:40,752 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 11:48:58,775 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0728, loss: 0.0728 +2025-07-02 11:49:17,529 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 11:49:54,760 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:49:54,788 - pyskl - INFO - +top1_acc 0.9768 +top5_acc 0.9976 +2025-07-02 11:49:54,793 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_119.pth was removed +2025-07-02 11:49:54,993 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2025-07-02 11:49:54,993 - pyskl - INFO - Best top1_acc is 0.9768 at 122 epoch. +2025-07-02 11:49:54,995 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9768, top5_acc: 0.9976 +2025-07-02 11:50:37,881 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:18, time: 0.429, data_time: 0.247, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 11:50:56,008 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0761, loss: 0.0761 +2025-07-02 11:51:14,058 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0609, loss: 0.0609 +2025-07-02 11:51:31,781 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0616, loss: 0.0616 +2025-07-02 11:51:50,195 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:17:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 11:52:08,152 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0727, loss: 0.0727 +2025-07-02 11:52:26,359 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0654, loss: 0.0654 +2025-07-02 11:52:44,126 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:16:05, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0880, loss: 0.0880 +2025-07-02 11:53:02,441 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 11:53:40,225 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:53:40,255 - pyskl - INFO - +top1_acc 0.9763 +top5_acc 0.9976 +2025-07-02 11:53:40,257 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9763, top5_acc: 0.9976 +2025-07-02 11:54:24,110 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:30, time: 0.438, data_time: 0.257, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 11:54:41,913 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0546, loss: 0.0546 +2025-07-02 11:55:00,061 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 11:55:18,072 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0775, loss: 0.0775 +2025-07-02 11:55:35,873 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 11:55:53,516 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:55, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 11:56:11,750 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 11:56:29,608 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 11:56:47,786 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 11:57:25,138 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:57:25,166 - pyskl - INFO - +top1_acc 0.9723 +top5_acc 0.9971 +2025-07-02 11:57:25,167 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9723, top5_acc: 0.9971 +2025-07-02 11:58:08,045 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:41, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9975, loss_cls: 0.0823, loss: 0.0823 +2025-07-02 11:58:26,146 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0615, loss: 0.0615 +2025-07-02 11:58:44,472 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:12:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 11:59:02,172 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 11:59:20,441 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0787, loss: 0.0787 +2025-07-02 11:59:38,302 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:11:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 11:59:56,209 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 12:00:14,173 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 12:00:32,259 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 12:01:10,886 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:01:10,915 - pyskl - INFO - +top1_acc 0.9762 +top5_acc 0.9975 +2025-07-02 12:01:10,916 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9762, top5_acc: 0.9975 +2025-07-02 12:01:53,921 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:53, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0643, loss: 0.0643 +2025-07-02 12:02:11,728 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:34, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 12:02:29,543 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0520, loss: 0.0520 +2025-07-02 12:02:47,366 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0542, loss: 0.0542 +2025-07-02 12:03:05,322 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 12:03:22,876 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:18, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0588, loss: 0.0588 +2025-07-02 12:03:40,925 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0533, loss: 0.0533 +2025-07-02 12:03:58,778 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 12:04:16,737 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 12:04:54,004 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:04:54,029 - pyskl - INFO - +top1_acc 0.9757 +top5_acc 0.9975 +2025-07-02 12:04:54,030 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9757, top5_acc: 0.9975 +2025-07-02 12:05:36,644 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:07:04, time: 0.426, data_time: 0.248, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0635, loss: 0.0635 +2025-07-02 12:05:54,640 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0508, loss: 0.0508 +2025-07-02 12:06:12,631 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0587, loss: 0.0587 +2025-07-02 12:06:30,448 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 12:06:48,414 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0613, loss: 0.0613 +2025-07-02 12:07:06,033 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:29, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 12:07:23,789 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:10, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 12:07:41,497 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:51, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0622, loss: 0.0622 +2025-07-02 12:07:59,634 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 12:08:37,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:08:37,458 - pyskl - INFO - +top1_acc 0.9772 +top5_acc 0.9972 +2025-07-02 12:08:37,464 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_122.pth was removed +2025-07-02 12:08:37,709 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2025-07-02 12:08:37,709 - pyskl - INFO - Best top1_acc is 0.9772 at 127 epoch. +2025-07-02 12:08:37,711 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9772, top5_acc: 0.9972 +2025-07-02 12:09:20,539 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:15, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 12:09:38,608 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 12:09:56,311 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0571, loss: 0.0571 +2025-07-02 12:10:14,206 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0619, loss: 0.0619 +2025-07-02 12:10:31,948 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:03:00, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0543, loss: 0.0543 +2025-07-02 12:10:49,552 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 12:11:07,211 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:22, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0508, loss: 0.0508 +2025-07-02 12:11:25,290 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:02:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0809, loss: 0.0809 +2025-07-02 12:11:43,525 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 12:12:20,312 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:12:20,334 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9974 +2025-07-02 12:12:20,338 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_127.pth was removed +2025-07-02 12:12:20,508 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-07-02 12:12:20,508 - pyskl - INFO - Best top1_acc is 0.9779 at 128 epoch. +2025-07-02 12:12:20,510 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9779, top5_acc: 0.9974 +2025-07-02 12:13:04,115 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:27, time: 0.436, data_time: 0.251, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0453, loss: 0.0453 +2025-07-02 12:13:22,095 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 12:13:40,024 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 12:13:57,741 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:30, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0448, loss: 0.0448 +2025-07-02 12:14:15,571 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0482, loss: 0.0482 +2025-07-02 12:14:33,525 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 12:14:51,335 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 12:15:09,207 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 12:15:27,404 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 12:16:04,647 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:16:04,670 - pyskl - INFO - +top1_acc 0.9775 +top5_acc 0.9976 +2025-07-02 12:16:04,671 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9775, top5_acc: 0.9976 +2025-07-02 12:16:47,943 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:38, time: 0.433, data_time: 0.246, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0411, loss: 0.0411 +2025-07-02 12:17:06,051 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 12:17:24,250 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:58:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 12:17:42,205 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 12:18:00,058 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 12:18:18,403 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:57:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 12:18:35,995 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:45, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 12:18:53,940 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0574, loss: 0.0574 +2025-07-02 12:19:12,436 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 12:19:49,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:19:49,596 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9975 +2025-07-02 12:19:49,598 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9779, top5_acc: 0.9975 +2025-07-02 12:20:32,704 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:50, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 12:20:50,733 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0537, loss: 0.0537 +2025-07-02 12:21:09,110 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0580, loss: 0.0580 +2025-07-02 12:21:26,869 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 12:21:45,020 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0626, loss: 0.0626 +2025-07-02 12:22:03,112 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0489, loss: 0.0489 +2025-07-02 12:22:20,972 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9975, loss_cls: 0.0594, loss: 0.0594 +2025-07-02 12:22:38,872 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 12:22:57,198 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 12:23:35,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:23:35,880 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9975 +2025-07-02 12:23:35,881 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9779, top5_acc: 0.9975 +2025-07-02 12:24:19,272 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:53:02, time: 0.434, data_time: 0.251, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 12:24:37,106 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 12:24:55,375 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0512, loss: 0.0512 +2025-07-02 12:25:13,491 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:05, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0473, loss: 0.0473 +2025-07-02 12:25:31,411 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 12:25:49,608 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 12:26:07,447 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 12:26:25,671 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0644, loss: 0.0644 +2025-07-02 12:26:43,756 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 12:27:21,051 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:27:21,076 - pyskl - INFO - +top1_acc 0.9786 +top5_acc 0.9974 +2025-07-02 12:27:21,081 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_128.pth was removed +2025-07-02 12:27:21,268 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2025-07-02 12:27:21,268 - pyskl - INFO - Best top1_acc is 0.9786 at 132 epoch. +2025-07-02 12:27:21,270 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9786, top5_acc: 0.9974 +2025-07-02 12:28:03,373 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:13, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0581, loss: 0.0581 +2025-07-02 12:28:20,952 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:54, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0386, loss: 0.0386 +2025-07-02 12:28:38,554 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:35, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 12:28:56,552 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 12:29:14,444 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 12:29:32,060 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:39, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 12:29:49,710 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:20, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 12:30:07,634 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:48:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0625, loss: 0.0625 +2025-07-02 12:30:26,023 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 12:31:03,557 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:31:03,585 - pyskl - INFO - +top1_acc 0.9783 +top5_acc 0.9976 +2025-07-02 12:31:03,587 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9783, top5_acc: 0.9976 +2025-07-02 12:31:46,444 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:25, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 12:32:04,246 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 12:32:22,017 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 12:32:39,700 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:28, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 12:32:57,277 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 12:33:15,184 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0449, loss: 0.0449 +2025-07-02 12:33:33,195 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 12:33:51,390 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 12:34:10,323 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 12:34:48,282 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:34:48,313 - pyskl - INFO - +top1_acc 0.9797 +top5_acc 0.9979 +2025-07-02 12:34:48,319 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_132.pth was removed +2025-07-02 12:34:48,532 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 12:34:48,532 - pyskl - INFO - Best top1_acc is 0.9797 at 134 epoch. +2025-07-02 12:34:48,535 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9797, top5_acc: 0.9979 +2025-07-02 12:35:32,783 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:36, time: 0.442, data_time: 0.259, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0209, loss: 0.0209 +2025-07-02 12:35:50,827 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 12:36:08,778 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0371, loss: 0.0371 +2025-07-02 12:36:26,427 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:40, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 12:36:44,300 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 12:37:02,439 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:43:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 12:37:20,400 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 12:37:38,781 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:24, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 12:37:57,574 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 12:38:35,184 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:38:35,206 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9976 +2025-07-02 12:38:35,207 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9784, top5_acc: 0.9976 +2025-07-02 12:39:18,094 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:48, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 12:39:35,991 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 12:39:53,897 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 12:40:11,737 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 12:40:29,512 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 12:40:47,139 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:14, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 12:41:05,009 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0332, loss: 0.0332 +2025-07-02 12:41:22,781 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:36, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0391, loss: 0.0391 +2025-07-02 12:41:40,890 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 12:42:19,645 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:42:19,675 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9976 +2025-07-02 12:42:19,676 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9793, top5_acc: 0.9976 +2025-07-02 12:43:03,140 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:38:59, time: 0.435, data_time: 0.252, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 12:43:20,888 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 12:43:39,252 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:22, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 12:43:56,985 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:38:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0365, loss: 0.0365 +2025-07-02 12:44:15,129 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0457, loss: 0.0457 +2025-07-02 12:44:33,156 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 12:44:51,028 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 12:45:08,869 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 12:45:27,312 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 12:46:05,038 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:46:05,061 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9981 +2025-07-02 12:46:05,062 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9793, top5_acc: 0.9981 +2025-07-02 12:46:47,910 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:11, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 12:47:05,694 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 12:47:23,495 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 12:47:41,483 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0317, loss: 0.0317 +2025-07-02 12:47:59,311 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 12:48:17,137 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0423, loss: 0.0423 +2025-07-02 12:48:35,070 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 12:48:53,040 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:33:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 12:49:11,283 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 12:49:49,388 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:49:49,411 - pyskl - INFO - +top1_acc 0.9789 +top5_acc 0.9976 +2025-07-02 12:49:49,412 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9789, top5_acc: 0.9976 +2025-07-02 12:50:32,034 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:22, time: 0.426, data_time: 0.244, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0428, loss: 0.0428 +2025-07-02 12:50:49,943 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 12:51:07,831 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 12:51:25,910 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0325, loss: 0.0325 +2025-07-02 12:51:43,982 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 12:52:01,665 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:48, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 12:52:19,696 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0401, loss: 0.0401 +2025-07-02 12:52:37,908 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 12:52:56,870 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 12:53:35,195 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:53:35,224 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9978 +2025-07-02 12:53:35,225 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9773, top5_acc: 0.9978 +2025-07-02 12:54:17,564 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:34, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.9981, top5_acc: 0.9994, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 12:54:35,235 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 12:54:53,106 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 12:55:11,424 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 12:55:29,386 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0290, loss: 0.0290 +2025-07-02 12:55:47,014 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:29:00, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 12:56:04,907 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 12:56:23,222 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 12:56:41,832 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 12:57:19,046 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:57:19,068 - pyskl - INFO - +top1_acc 0.9780 +top5_acc 0.9976 +2025-07-02 12:57:19,069 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9780, top5_acc: 0.9976 +2025-07-02 12:58:01,913 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:45, time: 0.428, data_time: 0.244, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 12:58:20,003 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 12:58:38,023 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 12:58:55,809 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 12:59:13,948 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 12:59:31,528 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:11, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0292, loss: 0.0292 +2025-07-02 12:59:49,273 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 13:00:07,008 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 13:00:25,250 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 13:01:03,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:01:03,118 - pyskl - INFO - +top1_acc 0.9787 +top5_acc 0.9978 +2025-07-02 13:01:03,119 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9787, top5_acc: 0.9978 +2025-07-02 13:01:45,584 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:57, time: 0.425, data_time: 0.244, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 13:02:03,553 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:38, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 13:02:21,180 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:19, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0303, loss: 0.0303 +2025-07-02 13:02:39,190 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:24:00, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 13:02:56,984 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 13:03:14,680 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:23, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 13:03:32,050 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:04, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 13:03:50,129 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 13:04:08,538 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 13:04:46,744 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:04:46,777 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9976 +2025-07-02 13:04:46,779 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9773, top5_acc: 0.9976 +2025-07-02 13:05:29,843 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:08, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0370, loss: 0.0370 +2025-07-02 13:05:47,792 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0265, loss: 0.0265 +2025-07-02 13:06:05,419 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:31, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 13:06:23,331 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 13:06:41,227 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9981, loss_cls: 0.0456, loss: 0.0456 +2025-07-02 13:06:58,856 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:34, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 13:07:16,689 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0471, loss: 0.0471 +2025-07-02 13:07:34,551 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 13:07:52,894 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 13:08:30,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:08:30,852 - pyskl - INFO - +top1_acc 0.9791 +top5_acc 0.9978 +2025-07-02 13:08:30,853 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9791, top5_acc: 0.9978 +2025-07-02 13:09:13,762 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:20, time: 0.429, data_time: 0.248, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 13:09:31,610 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0268, loss: 0.0268 +2025-07-02 13:09:49,040 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:42, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 13:10:06,962 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 13:10:24,587 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:05, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 13:10:42,610 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0291, loss: 0.0291 +2025-07-02 13:11:00,484 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0244, loss: 0.0244 +2025-07-02 13:11:18,514 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0490, loss: 0.0490 +2025-07-02 13:11:36,654 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 13:12:14,887 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:12:14,910 - pyskl - INFO - +top1_acc 0.9787 +top5_acc 0.9978 +2025-07-02 13:12:14,911 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9787, top5_acc: 0.9978 +2025-07-02 13:12:57,677 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:31, time: 0.428, data_time: 0.246, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 13:13:15,608 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:13, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 13:13:33,268 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:54, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 13:13:50,876 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:35, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0239, loss: 0.0239 +2025-07-02 13:14:08,693 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0254, loss: 0.0254 +2025-07-02 13:14:26,432 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:57, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 13:14:44,228 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 13:15:02,147 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 13:15:20,647 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 13:15:58,429 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:15:58,451 - pyskl - INFO - +top1_acc 0.9794 +top5_acc 0.9978 +2025-07-02 13:15:58,452 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9794, top5_acc: 0.9978 +2025-07-02 13:16:41,449 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:43, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0275, loss: 0.0275 +2025-07-02 13:16:59,548 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 13:17:17,272 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 13:17:35,064 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 13:17:52,872 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 13:18:10,419 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:09, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 13:18:28,257 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 13:18:46,112 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 13:19:04,489 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 13:19:41,756 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:19:41,781 - pyskl - INFO - +top1_acc 0.9802 +top5_acc 0.9978 +2025-07-02 13:19:41,786 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_134.pth was removed +2025-07-02 13:19:41,954 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_146.pth. +2025-07-02 13:19:41,954 - pyskl - INFO - Best top1_acc is 0.9802 at 146 epoch. +2025-07-02 13:19:41,956 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9802, top5_acc: 0.9978 +2025-07-02 13:20:24,328 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:54, time: 0.424, data_time: 0.243, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 13:20:42,517 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 13:21:00,443 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0279, loss: 0.0279 +2025-07-02 13:21:18,544 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0224, loss: 0.0224 +2025-07-02 13:21:36,588 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 13:21:54,120 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:21, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0390, loss: 0.0390 +2025-07-02 13:22:11,920 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:02, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 13:22:29,811 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 13:22:48,554 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 13:23:26,707 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:23:26,730 - pyskl - INFO - +top1_acc 0.9791 +top5_acc 0.9981 +2025-07-02 13:23:26,731 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9791, top5_acc: 0.9981 +2025-07-02 13:24:09,188 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:06, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0288, loss: 0.0288 +2025-07-02 13:24:26,988 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 13:24:44,961 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0338, loss: 0.0338 +2025-07-02 13:25:02,909 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0240, loss: 0.0240 +2025-07-02 13:25:20,684 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 13:25:38,474 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 13:25:56,324 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 13:26:14,402 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 13:26:33,106 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 13:27:10,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:27:10,916 - pyskl - INFO - +top1_acc 0.9797 +top5_acc 0.9975 +2025-07-02 13:27:10,917 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9797, top5_acc: 0.9975 +2025-07-02 13:27:53,523 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:18, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0183, loss: 0.0183 +2025-07-02 13:28:11,799 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0400, loss: 0.0400 +2025-07-02 13:28:30,121 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0262, loss: 0.0262 +2025-07-02 13:28:47,726 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0276, loss: 0.0276 +2025-07-02 13:29:05,492 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0404, loss: 0.0404 +2025-07-02 13:29:23,519 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 13:29:41,041 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 13:29:58,915 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 13:30:17,250 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 13:30:54,750 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:30:54,772 - pyskl - INFO - +top1_acc 0.9797 +top5_acc 0.9979 +2025-07-02 13:30:54,774 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9797, top5_acc: 0.9979 +2025-07-02 13:31:37,440 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.427, data_time: 0.246, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0198, loss: 0.0198 +2025-07-02 13:31:55,338 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9981, loss_cls: 0.0297, loss: 0.0297 +2025-07-02 13:32:13,001 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0300, loss: 0.0300 +2025-07-02 13:32:30,397 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 13:32:48,362 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0293, loss: 0.0293 +2025-07-02 13:33:06,070 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 13:33:23,835 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 13:33:41,418 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 13:33:59,457 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 13:34:35,757 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:34:35,780 - pyskl - INFO - +top1_acc 0.9795 +top5_acc 0.9978 +2025-07-02 13:34:35,781 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9795, top5_acc: 0.9978 +2025-07-02 13:34:43,458 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 13:38:15,355 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 13:38:15,355 - pyskl - INFO - top1_acc: 0.9798 +2025-07-02 13:38:15,355 - pyskl - INFO - top5_acc: 0.9979 +2025-07-02 13:38:15,356 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/k_2/best_top1_acc_epoch_146.pth +2025-07-02 13:41:43,129 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 13:41:43,129 - pyskl - INFO - top1_acc: 0.9802 +2025-07-02 13:41:43,129 - pyskl - INFO - top5_acc: 0.9981 diff --git a/pku_mmd_xview/k_2/20250702_041311.log.json b/pku_mmd_xview/k_2/20250702_041311.log.json new file mode 100644 index 0000000000000000000000000000000000000000..3a6235c5e5ca9bc6641f463ec2063a4de6130d47 --- /dev/null +++ b/pku_mmd_xview/k_2/20250702_041311.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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150, "iter": 450, "lr": 0.0, "top1_acc": 0.97955, "top5_acc": 0.99777} diff --git a/pku_mmd_xview/k_2/best_pred.pkl b/pku_mmd_xview/k_2/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..a59717e6b0785e23dd052f6523d69fa588cb8b91 --- /dev/null +++ b/pku_mmd_xview/k_2/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:713eb2d80fa0df06b01c39e841af403f29f41db9d758f28cbd7769fe9009a8b9 +size 2537820 diff --git a/pku_mmd_xview/k_2/best_top1_acc_epoch_146.pth b/pku_mmd_xview/k_2/best_top1_acc_epoch_146.pth new file mode 100644 index 0000000000000000000000000000000000000000..26a7119b1718df4106559dc0b6d031bbcb8dad88 --- /dev/null +++ b/pku_mmd_xview/k_2/best_top1_acc_epoch_146.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a0a099250a9bce36d7cb7c7f7f522b54cfb61ffa30a235d51f5077bb8a145d1 +size 32917105 diff --git a/pku_mmd_xview/k_2/k_2.py b/pku_mmd_xview/k_2/k_2.py new file mode 100644 index 0000000000000000000000000000000000000000..6c9cc968a6419ebeeed3c2f5a06df25c7112ebfb --- /dev/null +++ b/pku_mmd_xview/k_2/k_2.py @@ -0,0 +1,98 @@ +modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/k_2' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/k_3/20250702_041221.log b/pku_mmd_xview/k_3/20250702_041221.log new file mode 100644 index 0000000000000000000000000000000000000000..0fa5fd836c6c614ffe8d6105979e631c40ea2b39 --- /dev/null +++ b/pku_mmd_xview/k_3/20250702_041221.log @@ -0,0 +1,2398 @@ +2025-07-02 04:12:21,088 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 04:12:21,332 - pyskl - INFO - Config: modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/k_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 04:12:21,332 - pyskl - INFO - Set random seed to 391244939, deterministic: False +2025-07-02 04:12:25,628 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-02 04:12:32,417 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 04:12:32,418 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3 +2025-07-02 04:12:32,418 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 04:12:32,418 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 04:12:32,418 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3 by HardDiskBackend. +2025-07-02 04:13:10,472 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 14:13:34, time: 0.380, data_time: 0.208, memory: 2902, top1_acc: 0.0462, top5_acc: 0.1956, loss_cls: 4.3544, loss: 4.3544 +2025-07-02 04:13:27,068 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 10:12:28, time: 0.166, data_time: 0.000, memory: 2902, top1_acc: 0.1206, top5_acc: 0.4113, loss_cls: 3.8818, loss: 3.8818 +2025-07-02 04:13:44,949 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:01:31, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.1719, top5_acc: 0.5413, loss_cls: 3.4369, loss: 3.4369 +2025-07-02 04:14:01,189 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:16:42, time: 0.162, data_time: 0.000, memory: 2902, top1_acc: 0.2162, top5_acc: 0.6262, loss_cls: 3.1247, loss: 3.1247 +2025-07-02 04:14:18,059 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 7:52:32, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.2744, top5_acc: 0.6819, loss_cls: 2.9151, loss: 2.9151 +2025-07-02 04:14:34,916 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 7:36:16, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.3425, top5_acc: 0.7656, loss_cls: 2.6182, loss: 2.6182 +2025-07-02 04:14:51,975 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:25:13, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.3856, top5_acc: 0.8269, loss_cls: 2.3606, loss: 2.3606 +2025-07-02 04:15:09,016 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:16:49, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.4294, top5_acc: 0.8344, loss_cls: 2.3124, loss: 2.3124 +2025-07-02 04:15:26,411 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 04:16:03,084 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:16:03,110 - pyskl - INFO - +top1_acc 0.4612 +top5_acc 0.8853 +2025-07-02 04:16:03,295 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 04:16:03,296 - pyskl - INFO - Best top1_acc is 0.4612 at 1 epoch. +2025-07-02 04:16:03,297 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.4612, top5_acc: 0.8853 +2025-07-02 04:16:45,453 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:23:45, time: 0.422, data_time: 0.245, memory: 2902, top1_acc: 0.4919, top5_acc: 0.8894, loss_cls: 2.0454, loss: 2.0454 +2025-07-02 04:17:02,948 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:18:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.5169, top5_acc: 0.9069, loss_cls: 1.9620, loss: 1.9620 +2025-07-02 04:17:20,664 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:14:30, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.5494, top5_acc: 0.9056, loss_cls: 1.8793, loss: 1.8793 +2025-07-02 04:17:38,024 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:10:28, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5962, top5_acc: 0.9250, loss_cls: 1.7250, loss: 1.7250 +2025-07-02 04:17:55,641 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:07:22, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5706, top5_acc: 0.9156, loss_cls: 1.8139, loss: 1.8139 +2025-07-02 04:18:12,996 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:04:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5988, top5_acc: 0.9213, loss_cls: 1.7176, loss: 1.7176 +2025-07-02 04:18:30,392 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:01:33, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6188, top5_acc: 0.9331, loss_cls: 1.6339, loss: 1.6339 +2025-07-02 04:18:48,022 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 6:59:27, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6188, top5_acc: 0.9275, loss_cls: 1.6446, loss: 1.6446 +2025-07-02 04:19:05,850 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 04:19:42,958 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:19:42,986 - pyskl - INFO - +top1_acc 0.7184 +top5_acc 0.9743 +2025-07-02 04:19:42,992 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_1.pth was removed +2025-07-02 04:19:43,209 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 04:19:43,210 - pyskl - INFO - Best top1_acc is 0.7184 at 2 epoch. +2025-07-02 04:19:43,211 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.7184, top5_acc: 0.9743 +2025-07-02 04:20:25,399 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:04:20, time: 0.422, data_time: 0.243, memory: 2902, top1_acc: 0.6375, top5_acc: 0.9387, loss_cls: 1.5903, loss: 1.5903 +2025-07-02 04:20:43,009 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:02:16, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6656, top5_acc: 0.9463, loss_cls: 1.5115, loss: 1.5115 +2025-07-02 04:21:00,467 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:00:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6800, top5_acc: 0.9525, loss_cls: 1.4126, loss: 1.4126 +2025-07-02 04:21:18,056 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 6:58:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6800, top5_acc: 0.9425, loss_cls: 1.4451, loss: 1.4451 +2025-07-02 04:21:35,652 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 6:56:52, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6587, top5_acc: 0.9394, loss_cls: 1.5014, loss: 1.5014 +2025-07-02 04:21:53,414 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 6:55:30, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.6894, top5_acc: 0.9406, loss_cls: 1.4332, loss: 1.4332 +2025-07-02 04:22:11,111 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:54:11, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7044, top5_acc: 0.9563, loss_cls: 1.3465, loss: 1.3465 +2025-07-02 04:22:28,501 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:52:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6987, top5_acc: 0.9619, loss_cls: 1.3365, loss: 1.3365 +2025-07-02 04:22:46,414 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 04:23:24,132 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:23:24,154 - pyskl - INFO - +top1_acc 0.7060 +top5_acc 0.9704 +2025-07-02 04:23:24,155 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.7060, top5_acc: 0.9704 +2025-07-02 04:24:06,204 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:55:56, time: 0.420, data_time: 0.241, memory: 2902, top1_acc: 0.7219, top5_acc: 0.9550, loss_cls: 1.2740, loss: 1.2740 +2025-07-02 04:24:23,903 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:54:41, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7000, top5_acc: 0.9531, loss_cls: 1.3636, loss: 1.3636 +2025-07-02 04:24:41,457 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:53:24, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7044, top5_acc: 0.9513, loss_cls: 1.3251, loss: 1.3251 +2025-07-02 04:24:59,153 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:52:17, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7338, top5_acc: 0.9481, loss_cls: 1.2921, loss: 1.2921 +2025-07-02 04:25:16,763 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:51:09, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7312, top5_acc: 0.9600, loss_cls: 1.2434, loss: 1.2434 +2025-07-02 04:25:34,359 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:50:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7362, top5_acc: 0.9569, loss_cls: 1.2064, loss: 1.2064 +2025-07-02 04:25:52,243 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:49:13, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.7350, top5_acc: 0.9656, loss_cls: 1.1797, loss: 1.1797 +2025-07-02 04:26:09,744 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:48:09, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7256, top5_acc: 0.9544, loss_cls: 1.2602, loss: 1.2602 +2025-07-02 04:26:27,587 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 04:27:05,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:27:05,765 - pyskl - INFO - +top1_acc 0.7246 +top5_acc 0.9727 +2025-07-02 04:27:05,770 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_2.pth was removed +2025-07-02 04:27:05,995 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 04:27:05,996 - pyskl - INFO - Best top1_acc is 0.7246 at 4 epoch. +2025-07-02 04:27:05,997 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.7246, top5_acc: 0.9727 +2025-07-02 04:27:47,693 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:50:20, time: 0.417, data_time: 0.243, memory: 2902, top1_acc: 0.7469, top5_acc: 0.9606, loss_cls: 1.1764, loss: 1.1764 +2025-07-02 04:28:05,250 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:49:19, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7288, top5_acc: 0.9644, loss_cls: 1.2076, loss: 1.2076 +2025-07-02 04:28:22,760 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:48:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7475, top5_acc: 0.9650, loss_cls: 1.1694, loss: 1.1694 +2025-07-02 04:28:40,478 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:47:26, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7669, top5_acc: 0.9600, loss_cls: 1.1513, loss: 1.1513 +2025-07-02 04:28:58,069 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:46:32, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7594, top5_acc: 0.9606, loss_cls: 1.1592, loss: 1.1592 +2025-07-02 04:29:15,392 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:45:31, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7612, top5_acc: 0.9656, loss_cls: 1.1062, loss: 1.1062 +2025-07-02 04:29:33,301 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:44:50, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.7519, top5_acc: 0.9681, loss_cls: 1.1527, loss: 1.1527 +2025-07-02 04:29:50,990 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:44:03, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7538, top5_acc: 0.9669, loss_cls: 1.1349, loss: 1.1349 +2025-07-02 04:30:08,893 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 04:30:45,699 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:30:45,722 - pyskl - INFO - +top1_acc 0.8283 +top5_acc 0.9869 +2025-07-02 04:30:45,726 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_4.pth was removed +2025-07-02 04:30:45,915 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 04:30:45,915 - pyskl - INFO - Best top1_acc is 0.8283 at 5 epoch. +2025-07-02 04:30:45,917 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.8283, top5_acc: 0.9869 +2025-07-02 04:31:27,609 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:45:44, time: 0.417, data_time: 0.241, memory: 2902, top1_acc: 0.7669, top5_acc: 0.9719, loss_cls: 1.0586, loss: 1.0586 +2025-07-02 04:31:45,235 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:44:55, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7788, top5_acc: 0.9675, loss_cls: 1.0537, loss: 1.0537 +2025-07-02 04:32:02,927 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:44:10, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9644, loss_cls: 1.1022, loss: 1.1022 +2025-07-02 04:32:20,396 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:43:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7675, top5_acc: 0.9731, loss_cls: 1.0664, loss: 1.0664 +2025-07-02 04:32:38,093 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:42:36, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7638, top5_acc: 0.9587, loss_cls: 1.0969, loss: 1.0969 +2025-07-02 04:32:55,674 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:41:51, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9613, loss_cls: 1.0549, loss: 1.0549 +2025-07-02 04:33:12,981 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:41:00, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9688, loss_cls: 1.0238, loss: 1.0238 +2025-07-02 04:33:30,123 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:40:06, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9719, loss_cls: 1.0003, loss: 1.0003 +2025-07-02 04:33:47,783 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 04:34:24,246 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:34:24,270 - pyskl - INFO - +top1_acc 0.8372 +top5_acc 0.9859 +2025-07-02 04:34:24,275 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_5.pth was removed +2025-07-02 04:34:24,478 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 04:34:24,479 - pyskl - INFO - Best top1_acc is 0.8372 at 6 epoch. +2025-07-02 04:34:24,480 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8372, top5_acc: 0.9859 +2025-07-02 04:35:05,322 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:41:06, time: 0.408, data_time: 0.235, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9731, loss_cls: 0.9811, loss: 0.9811 +2025-07-02 04:35:22,576 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:40:16, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9712, loss_cls: 0.9887, loss: 0.9887 +2025-07-02 04:35:39,942 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:39:29, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9712, loss_cls: 1.0139, loss: 1.0139 +2025-07-02 04:35:57,254 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:38:42, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7987, top5_acc: 0.9663, loss_cls: 0.9948, loss: 0.9948 +2025-07-02 04:36:14,720 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:38:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7706, top5_acc: 0.9669, loss_cls: 1.0914, loss: 1.0914 +2025-07-02 04:36:32,332 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:37:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7875, top5_acc: 0.9637, loss_cls: 1.0568, loss: 1.0568 +2025-07-02 04:36:49,792 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:36:40, time: 0.175, data_time: 0.001, memory: 2902, top1_acc: 0.7669, top5_acc: 0.9656, loss_cls: 1.0687, loss: 1.0687 +2025-07-02 04:37:07,145 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:35:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9700, loss_cls: 1.0089, loss: 1.0089 +2025-07-02 04:37:24,937 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 04:38:02,022 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:38:02,050 - pyskl - INFO - +top1_acc 0.8442 +top5_acc 0.9865 +2025-07-02 04:38:02,055 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_6.pth was removed +2025-07-02 04:38:02,275 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_7.pth. +2025-07-02 04:38:02,275 - pyskl - INFO - Best top1_acc is 0.8442 at 7 epoch. +2025-07-02 04:38:02,277 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8442, top5_acc: 0.9865 +2025-07-02 04:38:43,808 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:37:00, time: 0.415, data_time: 0.239, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9688, loss_cls: 0.9972, loss: 0.9972 +2025-07-02 04:39:01,551 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:36:25, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9744, loss_cls: 0.9156, loss: 0.9156 +2025-07-02 04:39:19,109 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:35:47, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8025, top5_acc: 0.9706, loss_cls: 0.9476, loss: 0.9476 +2025-07-02 04:39:36,342 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:35:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9650, loss_cls: 0.9853, loss: 0.9853 +2025-07-02 04:39:53,711 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:34:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8006, top5_acc: 0.9700, loss_cls: 0.9521, loss: 0.9521 +2025-07-02 04:40:11,057 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:33:44, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9744, loss_cls: 0.9187, loss: 0.9187 +2025-07-02 04:40:28,774 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:33:11, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9700, loss_cls: 0.9480, loss: 0.9480 +2025-07-02 04:40:46,148 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:32:33, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9794, loss_cls: 0.9629, loss: 0.9629 +2025-07-02 04:41:04,360 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 04:41:41,448 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:41:41,476 - pyskl - INFO - +top1_acc 0.8769 +top5_acc 0.9903 +2025-07-02 04:41:41,481 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_7.pth was removed +2025-07-02 04:41:41,688 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_8.pth. +2025-07-02 04:41:41,688 - pyskl - INFO - Best top1_acc is 0.8769 at 8 epoch. +2025-07-02 04:41:41,690 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.8769, top5_acc: 0.9903 +2025-07-02 04:42:22,926 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:33:18, time: 0.412, data_time: 0.238, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9750, loss_cls: 0.9270, loss: 0.9270 +2025-07-02 04:42:40,333 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:32:41, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9781, loss_cls: 0.8651, loss: 0.8651 +2025-07-02 04:42:57,930 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:32:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9781, loss_cls: 0.8930, loss: 0.8930 +2025-07-02 04:43:15,661 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:31:35, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9731, loss_cls: 0.9246, loss: 0.9246 +2025-07-02 04:43:33,460 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:31:05, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9719, loss_cls: 0.9234, loss: 0.9234 +2025-07-02 04:43:50,892 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:30:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9744, loss_cls: 0.9939, loss: 0.9939 +2025-07-02 04:44:08,268 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:29:54, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9731, loss_cls: 0.9275, loss: 0.9275 +2025-07-02 04:44:25,423 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:29:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9794, loss_cls: 0.8982, loss: 0.8982 +2025-07-02 04:44:43,243 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 04:45:20,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:45:20,139 - pyskl - INFO - +top1_acc 0.8748 +top5_acc 0.9898 +2025-07-02 04:45:20,140 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8748, top5_acc: 0.9898 +2025-07-02 04:46:02,101 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:30:03, time: 0.420, data_time: 0.246, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9844, loss_cls: 0.8033, loss: 0.8033 +2025-07-02 04:46:19,814 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:29:33, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9744, loss_cls: 0.8782, loss: 0.8782 +2025-07-02 04:46:37,260 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:28:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9850, loss_cls: 0.8046, loss: 0.8046 +2025-07-02 04:46:54,928 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:28:28, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9725, loss_cls: 0.8540, loss: 0.8540 +2025-07-02 04:47:12,409 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:27:55, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9788, loss_cls: 0.9217, loss: 0.9217 +2025-07-02 04:47:29,890 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:27:22, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8081, top5_acc: 0.9738, loss_cls: 0.8952, loss: 0.8952 +2025-07-02 04:47:47,395 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:26:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8187, top5_acc: 0.9744, loss_cls: 0.8764, loss: 0.8764 +2025-07-02 04:48:04,820 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:26:18, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9775, loss_cls: 0.8279, loss: 0.8279 +2025-07-02 04:48:23,106 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 04:49:00,417 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:49:00,446 - pyskl - INFO - +top1_acc 0.8524 +top5_acc 0.9858 +2025-07-02 04:49:00,448 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.8524, top5_acc: 0.9858 +2025-07-02 04:49:42,692 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:27:01, time: 0.422, data_time: 0.249, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9700, loss_cls: 0.9104, loss: 0.9104 +2025-07-02 04:50:00,344 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:26:31, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8256, top5_acc: 0.9831, loss_cls: 0.8153, loss: 0.8153 +2025-07-02 04:50:17,519 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:25:55, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9781, loss_cls: 0.8226, loss: 0.8226 +2025-07-02 04:50:35,094 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:25:25, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9794, loss_cls: 0.8256, loss: 0.8256 +2025-07-02 04:50:52,311 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:24:50, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9769, loss_cls: 0.7866, loss: 0.7866 +2025-07-02 04:51:09,778 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:24:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9781, loss_cls: 0.8594, loss: 0.8594 +2025-07-02 04:51:27,221 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:23:47, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9838, loss_cls: 0.8058, loss: 0.8058 +2025-07-02 04:51:44,769 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:23:18, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9844, loss_cls: 0.8259, loss: 0.8259 +2025-07-02 04:52:02,638 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 04:52:39,512 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:52:39,534 - pyskl - INFO - +top1_acc 0.8403 +top5_acc 0.9855 +2025-07-02 04:52:39,536 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.8403, top5_acc: 0.9855 +2025-07-02 04:53:21,129 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:23:46, time: 0.416, data_time: 0.243, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9762, loss_cls: 0.8572, loss: 0.8572 +2025-07-02 04:53:38,865 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:23:18, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8250, top5_acc: 0.9825, loss_cls: 0.8225, loss: 0.8225 +2025-07-02 04:53:56,034 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:22:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8275, top5_acc: 0.9812, loss_cls: 0.8067, loss: 0.8067 +2025-07-02 04:54:13,546 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:22:14, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 0.7817, loss: 0.7817 +2025-07-02 04:54:31,039 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:21:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9831, loss_cls: 0.7904, loss: 0.7904 +2025-07-02 04:54:48,502 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:21:15, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9794, loss_cls: 0.8424, loss: 0.8424 +2025-07-02 04:55:05,753 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:20:43, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9750, loss_cls: 0.8259, loss: 0.8259 +2025-07-02 04:55:22,935 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:20:10, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9788, loss_cls: 0.8035, loss: 0.8035 +2025-07-02 04:55:40,826 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 04:56:17,807 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:56:17,830 - pyskl - INFO - +top1_acc 0.8706 +top5_acc 0.9893 +2025-07-02 04:56:17,831 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.8706, top5_acc: 0.9893 +2025-07-02 04:56:59,496 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:20:33, time: 0.417, data_time: 0.242, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9731, loss_cls: 0.7972, loss: 0.7972 +2025-07-02 04:57:17,178 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:20:06, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9781, loss_cls: 0.8116, loss: 0.8116 +2025-07-02 04:57:34,521 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:19:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9788, loss_cls: 0.7885, loss: 0.7885 +2025-07-02 04:57:52,240 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:19:09, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9750, loss_cls: 0.8281, loss: 0.8281 +2025-07-02 04:58:09,670 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:18:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8337, top5_acc: 0.9825, loss_cls: 0.7758, loss: 0.7758 +2025-07-02 04:58:27,240 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:18:13, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9831, loss_cls: 0.7899, loss: 0.7899 +2025-07-02 04:58:44,710 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:17:44, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9819, loss_cls: 0.7895, loss: 0.7895 +2025-07-02 04:59:01,830 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:17:12, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 0.7333, loss: 0.7333 +2025-07-02 04:59:19,969 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 04:59:56,972 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:59:57,015 - pyskl - INFO - +top1_acc 0.8709 +top5_acc 0.9873 +2025-07-02 04:59:57,017 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8709, top5_acc: 0.9873 +2025-07-02 05:00:39,147 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:17:36, time: 0.421, data_time: 0.248, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9806, loss_cls: 0.7642, loss: 0.7642 +2025-07-02 05:00:56,936 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:17:11, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7635, loss: 0.7635 +2025-07-02 05:01:14,382 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:16:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9806, loss_cls: 0.8039, loss: 0.8039 +2025-07-02 05:01:32,111 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:16:17, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9812, loss_cls: 0.7206, loss: 0.7206 +2025-07-02 05:01:49,486 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:15:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9806, loss_cls: 0.7717, loss: 0.7717 +2025-07-02 05:02:06,881 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:15:19, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 0.7885, loss: 0.7885 +2025-07-02 05:02:24,319 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:14:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9794, loss_cls: 0.7756, loss: 0.7756 +2025-07-02 05:02:41,675 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:14:23, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8306, top5_acc: 0.9769, loss_cls: 0.8182, loss: 0.8182 +2025-07-02 05:02:59,692 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 05:03:36,577 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:03:36,605 - pyskl - INFO - +top1_acc 0.8962 +top5_acc 0.9907 +2025-07-02 05:03:36,610 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_8.pth was removed +2025-07-02 05:03:36,951 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. +2025-07-02 05:03:36,951 - pyskl - INFO - Best top1_acc is 0.8962 at 14 epoch. +2025-07-02 05:03:36,953 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8962, top5_acc: 0.9907 +2025-07-02 05:04:19,075 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:14:42, time: 0.421, data_time: 0.249, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9800, loss_cls: 0.8019, loss: 0.8019 +2025-07-02 05:04:36,687 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:14:16, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7838, loss: 0.7838 +2025-07-02 05:04:53,884 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:13:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9756, loss_cls: 0.7605, loss: 0.7605 +2025-07-02 05:05:11,426 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:13:19, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 0.7722, loss: 0.7722 +2025-07-02 05:05:28,760 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:12:51, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9838, loss_cls: 0.7625, loss: 0.7625 +2025-07-02 05:05:46,312 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:12:25, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8287, top5_acc: 0.9794, loss_cls: 0.8151, loss: 0.8151 +2025-07-02 05:06:04,164 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:12:01, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9800, loss_cls: 0.7687, loss: 0.7687 +2025-07-02 05:06:21,728 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:11:36, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9850, loss_cls: 0.7192, loss: 0.7192 +2025-07-02 05:06:39,645 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 05:07:16,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:07:16,420 - pyskl - INFO - +top1_acc 0.8902 +top5_acc 0.9922 +2025-07-02 05:07:16,422 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8902, top5_acc: 0.9922 +2025-07-02 05:07:57,166 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:11:38, time: 0.407, data_time: 0.234, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9825, loss_cls: 0.7449, loss: 0.7449 +2025-07-02 05:08:14,862 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:11:13, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9781, loss_cls: 0.7553, loss: 0.7553 +2025-07-02 05:08:32,076 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:10:44, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 0.7299, loss: 0.7299 +2025-07-02 05:08:49,877 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:10:21, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9788, loss_cls: 0.7724, loss: 0.7724 +2025-07-02 05:09:07,512 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:09:56, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9775, loss_cls: 0.7837, loss: 0.7837 +2025-07-02 05:09:25,121 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:09:31, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6859, loss: 0.6859 +2025-07-02 05:09:42,495 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:09:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9806, loss_cls: 0.7137, loss: 0.7137 +2025-07-02 05:10:00,095 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:08:39, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9819, loss_cls: 0.7418, loss: 0.7418 +2025-07-02 05:10:17,992 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 05:10:54,323 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:10:54,345 - pyskl - INFO - +top1_acc 0.8840 +top5_acc 0.9862 +2025-07-02 05:10:54,346 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8840, top5_acc: 0.9862 +2025-07-02 05:11:35,624 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:08:43, time: 0.413, data_time: 0.238, memory: 2902, top1_acc: 0.8263, top5_acc: 0.9794, loss_cls: 0.8277, loss: 0.8277 +2025-07-02 05:11:53,082 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:08:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9812, loss_cls: 0.7451, loss: 0.7451 +2025-07-02 05:12:10,154 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:07:48, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9819, loss_cls: 0.7469, loss: 0.7469 +2025-07-02 05:12:27,824 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:07:24, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9762, loss_cls: 0.7313, loss: 0.7313 +2025-07-02 05:12:45,011 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:06:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9831, loss_cls: 0.7569, loss: 0.7569 +2025-07-02 05:13:02,501 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:06:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9788, loss_cls: 0.7602, loss: 0.7602 +2025-07-02 05:13:20,071 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:06:06, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9838, loss_cls: 0.7463, loss: 0.7463 +2025-07-02 05:13:37,770 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:05:42, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9881, loss_cls: 0.6681, loss: 0.6681 +2025-07-02 05:13:55,930 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 05:14:32,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:14:32,528 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9901 +2025-07-02 05:14:32,530 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8828, top5_acc: 0.9901 +2025-07-02 05:15:15,115 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:05:54, time: 0.426, data_time: 0.248, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9875, loss_cls: 0.6770, loss: 0.6770 +2025-07-02 05:15:32,821 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:05:30, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8550, top5_acc: 0.9794, loss_cls: 0.7255, loss: 0.7255 +2025-07-02 05:15:50,631 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:05:08, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 0.6519, loss: 0.6519 +2025-07-02 05:16:08,381 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:04:44, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9800, loss_cls: 0.6823, loss: 0.6823 +2025-07-02 05:16:25,946 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:04:20, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 0.6957, loss: 0.6957 +2025-07-02 05:16:43,652 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:03:56, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9788, loss_cls: 0.7694, loss: 0.7694 +2025-07-02 05:17:01,245 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:03:32, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9819, loss_cls: 0.7302, loss: 0.7302 +2025-07-02 05:17:18,249 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:03:04, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9769, loss_cls: 0.7261, loss: 0.7261 +2025-07-02 05:17:36,317 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 05:18:13,379 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:18:13,408 - pyskl - INFO - +top1_acc 0.9232 +top5_acc 0.9933 +2025-07-02 05:18:13,412 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_14.pth was removed +2025-07-02 05:18:13,633 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_18.pth. +2025-07-02 05:18:13,634 - pyskl - INFO - Best top1_acc is 0.9232 at 18 epoch. +2025-07-02 05:18:13,635 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.9232, top5_acc: 0.9933 +2025-07-02 05:18:55,868 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:03:10, time: 0.422, data_time: 0.244, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9794, loss_cls: 0.7779, loss: 0.7779 +2025-07-02 05:19:13,705 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:02:48, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8819, top5_acc: 0.9862, loss_cls: 0.6341, loss: 0.6341 +2025-07-02 05:19:31,084 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:02:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 0.7004, loss: 0.7004 +2025-07-02 05:19:48,688 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:01:58, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9825, loss_cls: 0.7188, loss: 0.7188 +2025-07-02 05:20:05,973 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:01:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9838, loss_cls: 0.7274, loss: 0.7274 +2025-07-02 05:20:23,525 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:01:07, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9794, loss_cls: 0.6878, loss: 0.6878 +2025-07-02 05:20:41,027 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 6:00:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9888, loss_cls: 0.7380, loss: 0.7380 +2025-07-02 05:20:58,298 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 6:00:17, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 05:21:16,240 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 05:21:53,571 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:21:53,595 - pyskl - INFO - +top1_acc 0.8986 +top5_acc 0.9919 +2025-07-02 05:21:53,596 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.8986, top5_acc: 0.9919 +2025-07-02 05:22:36,214 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 6:00:24, time: 0.426, data_time: 0.250, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6506, loss: 0.6506 +2025-07-02 05:22:53,899 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 6:00:00, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9800, loss_cls: 0.6661, loss: 0.6661 +2025-07-02 05:23:11,255 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:59:35, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9812, loss_cls: 0.6473, loss: 0.6473 +2025-07-02 05:23:29,018 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:59:12, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9875, loss_cls: 0.6829, loss: 0.6829 +2025-07-02 05:23:46,339 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:58:47, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9806, loss_cls: 0.7033, loss: 0.7033 +2025-07-02 05:24:03,901 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:58:23, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9831, loss_cls: 0.6773, loss: 0.6773 +2025-07-02 05:24:21,491 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:57:59, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9781, loss_cls: 0.7167, loss: 0.7167 +2025-07-02 05:24:38,713 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:57:34, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9725, loss_cls: 0.7165, loss: 0.7165 +2025-07-02 05:24:56,425 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 05:25:33,087 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:25:33,115 - pyskl - INFO - +top1_acc 0.8904 +top5_acc 0.9915 +2025-07-02 05:25:33,116 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.8904, top5_acc: 0.9915 +2025-07-02 05:26:15,113 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:57:34, time: 0.420, data_time: 0.241, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 0.6874, loss: 0.6874 +2025-07-02 05:26:32,683 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:57:10, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8525, top5_acc: 0.9756, loss_cls: 0.7390, loss: 0.7390 +2025-07-02 05:26:50,233 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:56:46, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9856, loss_cls: 0.6966, loss: 0.6966 +2025-07-02 05:27:07,653 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:56:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9856, loss_cls: 0.6230, loss: 0.6230 +2025-07-02 05:27:25,018 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:55:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9862, loss_cls: 0.6348, loss: 0.6348 +2025-07-02 05:27:42,795 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:55:35, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9812, loss_cls: 0.7007, loss: 0.7007 +2025-07-02 05:28:00,067 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:55:10, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9850, loss_cls: 0.6539, loss: 0.6539 +2025-07-02 05:28:17,418 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:54:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9881, loss_cls: 0.6795, loss: 0.6795 +2025-07-02 05:28:35,744 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 05:29:12,903 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:29:12,930 - pyskl - INFO - +top1_acc 0.8969 +top5_acc 0.9903 +2025-07-02 05:29:12,932 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8969, top5_acc: 0.9903 +2025-07-02 05:29:54,253 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:54:39, time: 0.413, data_time: 0.241, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9875, loss_cls: 0.7084, loss: 0.7084 +2025-07-02 05:30:11,910 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:54:16, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9806, loss_cls: 0.6584, loss: 0.6584 +2025-07-02 05:30:29,097 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:53:51, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9844, loss_cls: 0.6522, loss: 0.6522 +2025-07-02 05:30:47,196 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:53:30, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6424, loss: 0.6424 +2025-07-02 05:31:04,723 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:53:07, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7335, loss: 0.7335 +2025-07-02 05:31:22,442 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:52:45, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9869, loss_cls: 0.6663, loss: 0.6663 +2025-07-02 05:31:39,773 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:52:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9831, loss_cls: 0.6969, loss: 0.6969 +2025-07-02 05:31:57,254 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:51:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9806, loss_cls: 0.6675, loss: 0.6675 +2025-07-02 05:32:14,965 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 05:32:51,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:32:51,887 - pyskl - INFO - +top1_acc 0.9020 +top5_acc 0.9925 +2025-07-02 05:32:51,888 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.9020, top5_acc: 0.9925 +2025-07-02 05:33:34,305 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:51:56, time: 0.424, data_time: 0.248, memory: 2902, top1_acc: 0.8812, top5_acc: 0.9888, loss_cls: 0.6402, loss: 0.6402 +2025-07-02 05:33:51,717 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:51:32, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9869, loss_cls: 0.6569, loss: 0.6569 +2025-07-02 05:34:08,893 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:51:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9806, loss_cls: 0.6932, loss: 0.6932 +2025-07-02 05:34:26,609 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:50:44, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9850, loss_cls: 0.6285, loss: 0.6285 +2025-07-02 05:34:44,147 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:50:21, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9869, loss_cls: 0.6155, loss: 0.6155 +2025-07-02 05:35:02,070 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:50:00, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9844, loss_cls: 0.7157, loss: 0.7157 +2025-07-02 05:35:19,410 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:49:36, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 0.6936, loss: 0.6936 +2025-07-02 05:35:36,982 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:49:13, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8394, top5_acc: 0.9856, loss_cls: 0.7273, loss: 0.7273 +2025-07-02 05:35:54,818 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 05:36:31,648 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:36:31,670 - pyskl - INFO - +top1_acc 0.9225 +top5_acc 0.9929 +2025-07-02 05:36:31,671 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.9225, top5_acc: 0.9929 +2025-07-02 05:37:13,302 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:49:06, time: 0.416, data_time: 0.241, memory: 2902, top1_acc: 0.8825, top5_acc: 0.9831, loss_cls: 0.6455, loss: 0.6455 +2025-07-02 05:37:30,821 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:48:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9862, loss_cls: 0.6864, loss: 0.6864 +2025-07-02 05:37:48,117 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:48:19, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8850, top5_acc: 0.9838, loss_cls: 0.5996, loss: 0.5996 +2025-07-02 05:38:05,896 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:47:57, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9881, loss_cls: 0.6476, loss: 0.6476 +2025-07-02 05:38:23,407 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:47:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9856, loss_cls: 0.6702, loss: 0.6702 +2025-07-02 05:38:40,982 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:47:11, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8588, top5_acc: 0.9881, loss_cls: 0.6688, loss: 0.6688 +2025-07-02 05:38:59,059 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:46:52, time: 0.181, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9850, loss_cls: 0.6525, loss: 0.6525 +2025-07-02 05:39:16,786 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:46:30, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9856, loss_cls: 0.6340, loss: 0.6340 +2025-07-02 05:39:34,516 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 05:40:11,456 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:40:11,480 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9915 +2025-07-02 05:40:11,482 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.9175, top5_acc: 0.9915 +2025-07-02 05:40:54,133 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:46:26, time: 0.426, data_time: 0.251, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9875, loss_cls: 0.6975, loss: 0.6975 +2025-07-02 05:41:11,553 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:46:03, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9788, loss_cls: 0.6253, loss: 0.6253 +2025-07-02 05:41:28,974 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:45:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9750, loss_cls: 0.7206, loss: 0.7206 +2025-07-02 05:41:46,191 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:45:15, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9819, loss_cls: 0.6734, loss: 0.6734 +2025-07-02 05:42:03,862 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:44:53, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8769, top5_acc: 0.9831, loss_cls: 0.5982, loss: 0.5982 +2025-07-02 05:42:21,277 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:44:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 0.6360, loss: 0.6360 +2025-07-02 05:42:38,688 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:44:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.6299, loss: 0.6299 +2025-07-02 05:42:56,267 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:43:45, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9831, loss_cls: 0.6669, loss: 0.6669 +2025-07-02 05:43:14,180 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 05:43:51,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:43:51,850 - pyskl - INFO - +top1_acc 0.9183 +top5_acc 0.9937 +2025-07-02 05:43:51,852 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.9183, top5_acc: 0.9937 +2025-07-02 05:44:34,194 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:43:38, time: 0.423, data_time: 0.247, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 0.6612, loss: 0.6612 +2025-07-02 05:44:51,615 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:43:15, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.5883, loss: 0.5883 +2025-07-02 05:45:09,181 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:42:52, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9862, loss_cls: 0.5688, loss: 0.5688 +2025-07-02 05:45:26,640 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:42:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9862, loss_cls: 0.6346, loss: 0.6346 +2025-07-02 05:45:44,063 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:42:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9844, loss_cls: 0.6469, loss: 0.6469 +2025-07-02 05:46:01,752 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:41:45, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9869, loss_cls: 0.6161, loss: 0.6161 +2025-07-02 05:46:19,124 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:41:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8731, top5_acc: 0.9806, loss_cls: 0.6360, loss: 0.6360 +2025-07-02 05:46:36,468 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:40:58, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8688, top5_acc: 0.9800, loss_cls: 0.6894, loss: 0.6894 +2025-07-02 05:46:54,322 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 05:47:31,741 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:47:31,764 - pyskl - INFO - +top1_acc 0.9203 +top5_acc 0.9935 +2025-07-02 05:47:31,765 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.9203, top5_acc: 0.9935 +2025-07-02 05:48:13,702 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:40:49, time: 0.419, data_time: 0.243, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9875, loss_cls: 0.6748, loss: 0.6748 +2025-07-02 05:48:31,220 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:40:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8725, top5_acc: 0.9850, loss_cls: 0.6392, loss: 0.6392 +2025-07-02 05:48:48,816 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:40:04, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8962, top5_acc: 0.9919, loss_cls: 0.5133, loss: 0.5133 +2025-07-02 05:49:06,299 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:39:42, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8788, top5_acc: 0.9838, loss_cls: 0.6254, loss: 0.6254 +2025-07-02 05:49:24,198 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:39:21, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6426, loss: 0.6426 +2025-07-02 05:49:41,591 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:38:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8662, top5_acc: 0.9862, loss_cls: 0.6471, loss: 0.6471 +2025-07-02 05:49:59,610 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:38:38, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8862, top5_acc: 0.9875, loss_cls: 0.5736, loss: 0.5736 +2025-07-02 05:50:17,068 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:38:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 0.6265, loss: 0.6265 +2025-07-02 05:50:34,843 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 05:51:12,799 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:51:12,822 - pyskl - INFO - +top1_acc 0.8755 +top5_acc 0.9872 +2025-07-02 05:51:12,824 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.8755, top5_acc: 0.9872 +2025-07-02 05:51:55,416 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:38:08, time: 0.426, data_time: 0.247, memory: 2902, top1_acc: 0.8881, top5_acc: 0.9900, loss_cls: 0.5917, loss: 0.5917 +2025-07-02 05:52:13,013 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:37:46, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 0.6553, loss: 0.6553 +2025-07-02 05:52:30,587 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:37:24, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8594, top5_acc: 0.9862, loss_cls: 0.6533, loss: 0.6533 +2025-07-02 05:52:48,378 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:37:03, time: 0.178, data_time: 0.001, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9806, loss_cls: 0.6493, loss: 0.6493 +2025-07-02 05:53:05,733 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:36:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9844, loss_cls: 0.6177, loss: 0.6177 +2025-07-02 05:53:23,228 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:36:17, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8744, top5_acc: 0.9788, loss_cls: 0.6683, loss: 0.6683 +2025-07-02 05:53:40,888 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:35:56, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8869, top5_acc: 0.9850, loss_cls: 0.5714, loss: 0.5714 +2025-07-02 05:53:58,228 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:35:33, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 0.6625, loss: 0.6625 +2025-07-02 05:54:16,275 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 05:54:53,346 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:54:53,374 - pyskl - INFO - +top1_acc 0.9026 +top5_acc 0.9914 +2025-07-02 05:54:53,375 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.9026, top5_acc: 0.9914 +2025-07-02 05:55:35,186 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:35:20, time: 0.418, data_time: 0.244, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 0.6574, loss: 0.6574 +2025-07-02 05:55:52,639 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:34:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 0.6903, loss: 0.6903 +2025-07-02 05:56:10,273 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:34:36, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.5803, loss: 0.5803 +2025-07-02 05:56:27,627 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:34:14, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9831, loss_cls: 0.6527, loss: 0.6527 +2025-07-02 05:56:45,071 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:33:51, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5631, loss: 0.5631 +2025-07-02 05:57:02,629 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:33:30, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8775, top5_acc: 0.9888, loss_cls: 0.6055, loss: 0.6055 +2025-07-02 05:57:19,795 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:33:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.5968, loss: 0.5968 +2025-07-02 05:57:37,237 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:32:44, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8800, top5_acc: 0.9838, loss_cls: 0.6047, loss: 0.6047 +2025-07-02 05:57:55,268 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 05:58:32,477 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:58:32,500 - pyskl - INFO - +top1_acc 0.9161 +top5_acc 0.9933 +2025-07-02 05:58:32,501 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.9161, top5_acc: 0.9933 +2025-07-02 05:59:15,475 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:32:35, time: 0.430, data_time: 0.243, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 0.6466, loss: 0.6466 +2025-07-02 05:59:33,952 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:32:17, time: 0.185, data_time: 0.000, memory: 2902, top1_acc: 0.8844, top5_acc: 0.9881, loss_cls: 0.5858, loss: 0.5858 +2025-07-02 05:59:52,124 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:31:58, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8712, top5_acc: 0.9806, loss_cls: 0.6280, loss: 0.6280 +2025-07-02 06:00:10,379 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:31:39, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8925, top5_acc: 0.9894, loss_cls: 0.5662, loss: 0.5662 +2025-07-02 06:00:28,911 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:31:21, time: 0.185, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9875, loss_cls: 0.6643, loss: 0.6643 +2025-07-02 06:00:47,131 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:31:02, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8656, top5_acc: 0.9825, loss_cls: 0.6415, loss: 0.6415 +2025-07-02 06:01:05,412 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:30:43, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5331, loss: 0.5331 +2025-07-02 06:01:23,570 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:30:24, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8625, top5_acc: 0.9806, loss_cls: 0.6559, loss: 0.6559 +2025-07-02 06:01:42,350 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 06:02:20,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:02:20,415 - pyskl - INFO - +top1_acc 0.8947 +top5_acc 0.9915 +2025-07-02 06:02:20,416 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.8947, top5_acc: 0.9915 +2025-07-02 06:03:03,041 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:30:12, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9812, loss_cls: 0.7188, loss: 0.7188 +2025-07-02 06:03:20,602 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:29:51, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9900, loss_cls: 0.6539, loss: 0.6539 +2025-07-02 06:03:38,979 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:29:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 0.6270, loss: 0.6270 +2025-07-02 06:03:56,883 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:29:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9844, loss_cls: 0.6561, loss: 0.6561 +2025-07-02 06:04:14,828 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:28:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9844, loss_cls: 0.6560, loss: 0.6560 +2025-07-02 06:04:32,875 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:28:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9888, loss_cls: 0.7005, loss: 0.7005 +2025-07-02 06:04:50,954 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:28:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6562, loss: 0.6562 +2025-07-02 06:05:08,880 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:27:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9862, loss_cls: 0.6107, loss: 0.6107 +2025-07-02 06:05:27,150 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 06:06:04,464 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:06:04,487 - pyskl - INFO - +top1_acc 0.8924 +top5_acc 0.9893 +2025-07-02 06:06:04,488 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8924, top5_acc: 0.9893 +2025-07-02 06:06:47,699 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:27:42, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9906, loss_cls: 0.6941, loss: 0.6941 +2025-07-02 06:07:05,721 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:27:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9888, loss_cls: 0.6397, loss: 0.6397 +2025-07-02 06:07:24,001 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:27:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9862, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 06:07:41,941 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:26:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9831, loss_cls: 0.6332, loss: 0.6332 +2025-07-02 06:08:00,203 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:26:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9900, loss_cls: 0.5681, loss: 0.5681 +2025-07-02 06:08:18,333 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:26:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 0.5897, loss: 0.5897 +2025-07-02 06:08:36,458 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:25:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 0.6250, loss: 0.6250 +2025-07-02 06:08:55,046 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:25:27, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8638, top5_acc: 0.9806, loss_cls: 0.6887, loss: 0.6887 +2025-07-02 06:09:13,655 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 06:09:50,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:09:50,793 - pyskl - INFO - +top1_acc 0.8808 +top5_acc 0.9839 +2025-07-02 06:09:50,794 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.8808, top5_acc: 0.9839 +2025-07-02 06:10:32,896 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:25:11, time: 0.421, data_time: 0.233, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9825, loss_cls: 0.6948, loss: 0.6948 +2025-07-02 06:10:51,086 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:24:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9856, loss_cls: 0.6208, loss: 0.6208 +2025-07-02 06:11:09,220 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:24:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9869, loss_cls: 0.6463, loss: 0.6463 +2025-07-02 06:11:27,253 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:24:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9838, loss_cls: 0.6669, loss: 0.6669 +2025-07-02 06:11:45,333 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:23:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9838, loss_cls: 0.6530, loss: 0.6530 +2025-07-02 06:12:03,422 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:23:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8825, top5_acc: 0.9850, loss_cls: 0.6190, loss: 0.6190 +2025-07-02 06:12:21,193 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:23:12, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9856, loss_cls: 0.6386, loss: 0.6386 +2025-07-02 06:12:39,365 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:22:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9850, loss_cls: 0.6518, loss: 0.6518 +2025-07-02 06:12:58,058 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 06:13:34,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:13:34,782 - pyskl - INFO - +top1_acc 0.9226 +top5_acc 0.9923 +2025-07-02 06:13:34,783 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.9226, top5_acc: 0.9923 +2025-07-02 06:14:17,889 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:22:40, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9856, loss_cls: 0.6619, loss: 0.6619 +2025-07-02 06:14:35,951 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:22:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8569, top5_acc: 0.9844, loss_cls: 0.7024, loss: 0.7024 +2025-07-02 06:14:54,257 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:22:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9844, loss_cls: 0.7025, loss: 0.7025 +2025-07-02 06:15:12,371 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:21:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9875, loss_cls: 0.6041, loss: 0.6041 +2025-07-02 06:15:30,713 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:21:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9875, loss_cls: 0.6273, loss: 0.6273 +2025-07-02 06:15:49,155 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:21:04, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9844, loss_cls: 0.6129, loss: 0.6129 +2025-07-02 06:16:07,494 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:20:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9856, loss_cls: 0.6534, loss: 0.6534 +2025-07-02 06:16:25,766 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:20:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9862, loss_cls: 0.6524, loss: 0.6524 +2025-07-02 06:16:44,323 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 06:17:21,411 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:17:21,439 - pyskl - INFO - +top1_acc 0.9306 +top5_acc 0.9951 +2025-07-02 06:17:21,444 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_18.pth was removed +2025-07-02 06:17:21,667 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_34.pth. +2025-07-02 06:17:21,667 - pyskl - INFO - Best top1_acc is 0.9306 at 34 epoch. +2025-07-02 06:17:21,669 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.9306, top5_acc: 0.9951 +2025-07-02 06:18:04,933 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:20:13, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9819, loss_cls: 0.5714, loss: 0.5714 +2025-07-02 06:18:22,897 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:19:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 0.6848, loss: 0.6848 +2025-07-02 06:18:41,229 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:19:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9881, loss_cls: 0.5977, loss: 0.5977 +2025-07-02 06:18:59,143 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:19:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9869, loss_cls: 0.6576, loss: 0.6576 +2025-07-02 06:19:17,389 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:18:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.5923, loss: 0.5923 +2025-07-02 06:19:35,873 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:18:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9856, loss_cls: 0.6390, loss: 0.6390 +2025-07-02 06:19:54,075 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:18:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9862, loss_cls: 0.6046, loss: 0.6046 +2025-07-02 06:20:12,139 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:17:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.6004, loss: 0.6004 +2025-07-02 06:20:30,800 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 06:21:07,930 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:21:07,958 - pyskl - INFO - +top1_acc 0.8997 +top5_acc 0.9898 +2025-07-02 06:21:07,959 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.8997, top5_acc: 0.9898 +2025-07-02 06:21:51,318 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:17:43, time: 0.434, data_time: 0.246, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9900, loss_cls: 0.6086, loss: 0.6086 +2025-07-02 06:22:09,650 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:17:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9825, loss_cls: 0.6727, loss: 0.6727 +2025-07-02 06:22:27,994 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:17:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9869, loss_cls: 0.6393, loss: 0.6393 +2025-07-02 06:22:46,079 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:16:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5851, loss: 0.5851 +2025-07-02 06:23:04,169 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:16:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9825, loss_cls: 0.5930, loss: 0.5930 +2025-07-02 06:23:22,388 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:16:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9856, loss_cls: 0.6326, loss: 0.6326 +2025-07-02 06:23:40,689 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:15:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.6192, loss: 0.6192 +2025-07-02 06:23:58,910 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:15:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5538, loss: 0.5538 +2025-07-02 06:24:17,294 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 06:24:54,877 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:24:54,905 - pyskl - INFO - +top1_acc 0.9315 +top5_acc 0.9940 +2025-07-02 06:24:54,909 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_34.pth was removed +2025-07-02 06:24:55,129 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_36.pth. +2025-07-02 06:24:55,130 - pyskl - INFO - Best top1_acc is 0.9315 at 36 epoch. +2025-07-02 06:24:55,132 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.9315, top5_acc: 0.9940 +2025-07-02 06:25:38,127 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:15:11, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.5950, loss: 0.5950 +2025-07-02 06:25:56,286 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:14:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.6048, loss: 0.6048 +2025-07-02 06:26:14,617 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:14:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9919, loss_cls: 0.5491, loss: 0.5491 +2025-07-02 06:26:32,631 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:14:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.5941, loss: 0.5941 +2025-07-02 06:26:51,175 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:13:55, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5766, loss: 0.5766 +2025-07-02 06:27:09,556 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:13:36, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9869, loss_cls: 0.6334, loss: 0.6334 +2025-07-02 06:27:27,633 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:13:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9844, loss_cls: 0.6418, loss: 0.6418 +2025-07-02 06:27:45,637 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:12:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9875, loss_cls: 0.6063, loss: 0.6063 +2025-07-02 06:28:04,295 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 06:28:41,250 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:28:41,279 - pyskl - INFO - +top1_acc 0.9207 +top5_acc 0.9914 +2025-07-02 06:28:41,281 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.9207, top5_acc: 0.9914 +2025-07-02 06:29:24,286 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:12:39, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9881, loss_cls: 0.5696, loss: 0.5696 +2025-07-02 06:29:42,617 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:12:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9869, loss_cls: 0.6013, loss: 0.6013 +2025-07-02 06:30:00,890 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:12:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5636, loss: 0.5636 +2025-07-02 06:30:18,839 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:11:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9881, loss_cls: 0.6069, loss: 0.6069 +2025-07-02 06:30:36,828 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:11:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9862, loss_cls: 0.6114, loss: 0.6114 +2025-07-02 06:30:55,017 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:11:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9919, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 06:31:12,897 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:10:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5791, loss: 0.5791 +2025-07-02 06:31:31,008 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:10:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5672, loss: 0.5672 +2025-07-02 06:31:49,473 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 06:32:28,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:32:28,045 - pyskl - INFO - +top1_acc 0.9128 +top5_acc 0.9935 +2025-07-02 06:32:28,046 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.9128, top5_acc: 0.9935 +2025-07-02 06:33:11,901 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:10:06, time: 0.439, data_time: 0.253, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9888, loss_cls: 0.5773, loss: 0.5773 +2025-07-02 06:33:30,558 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:09:48, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9806, loss_cls: 0.6208, loss: 0.6208 +2025-07-02 06:33:48,819 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:09:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.5809, loss: 0.5809 +2025-07-02 06:34:07,257 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:09:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9881, loss_cls: 0.6416, loss: 0.6416 +2025-07-02 06:34:25,440 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:08:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 0.5839, loss: 0.5839 +2025-07-02 06:34:43,649 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:08:31, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9869, loss_cls: 0.5935, loss: 0.5935 +2025-07-02 06:35:01,860 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:08:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9888, loss_cls: 0.5721, loss: 0.5721 +2025-07-02 06:35:20,028 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:07:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5898, loss: 0.5898 +2025-07-02 06:35:38,481 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 06:36:15,977 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:36:16,006 - pyskl - INFO - +top1_acc 0.9393 +top5_acc 0.9951 +2025-07-02 06:36:16,010 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_36.pth was removed +2025-07-02 06:36:16,215 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_39.pth. +2025-07-02 06:36:16,215 - pyskl - INFO - Best top1_acc is 0.9393 at 39 epoch. +2025-07-02 06:36:16,222 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.9393, top5_acc: 0.9951 +2025-07-02 06:36:59,029 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:07:32, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9825, loss_cls: 0.6107, loss: 0.6107 +2025-07-02 06:37:17,718 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:07:14, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5539, loss: 0.5539 +2025-07-02 06:37:35,912 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:06:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.4979, loss: 0.4979 +2025-07-02 06:37:53,651 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:06:34, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5226, loss: 0.5226 +2025-07-02 06:38:11,951 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:06:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9888, loss_cls: 0.6111, loss: 0.6111 +2025-07-02 06:38:30,204 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:05:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.5563, loss: 0.5563 +2025-07-02 06:38:47,994 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:05:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9856, loss_cls: 0.6467, loss: 0.6467 +2025-07-02 06:39:05,957 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:05:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9912, loss_cls: 0.5496, loss: 0.5496 +2025-07-02 06:39:24,262 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 06:40:01,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:40:01,498 - pyskl - INFO - +top1_acc 0.9203 +top5_acc 0.9919 +2025-07-02 06:40:01,499 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.9203, top5_acc: 0.9919 +2025-07-02 06:40:45,332 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:04:58, time: 0.438, data_time: 0.254, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5721, loss: 0.5721 +2025-07-02 06:41:03,529 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:04:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9862, loss_cls: 0.5658, loss: 0.5658 +2025-07-02 06:41:21,295 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:04:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9881, loss_cls: 0.5682, loss: 0.5682 +2025-07-02 06:41:39,530 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:03:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9894, loss_cls: 0.5637, loss: 0.5637 +2025-07-02 06:41:57,910 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:03:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9900, loss_cls: 0.5268, loss: 0.5268 +2025-07-02 06:42:16,207 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:03:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9881, loss_cls: 0.6509, loss: 0.6509 +2025-07-02 06:42:34,269 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:03:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9850, loss_cls: 0.5909, loss: 0.5909 +2025-07-02 06:42:52,210 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:02:40, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5848, loss: 0.5848 +2025-07-02 06:43:10,567 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 06:43:47,930 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:43:47,959 - pyskl - INFO - +top1_acc 0.9165 +top5_acc 0.9929 +2025-07-02 06:43:47,961 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.9165, top5_acc: 0.9929 +2025-07-02 06:44:30,697 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:02:20, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9894, loss_cls: 0.5361, loss: 0.5361 +2025-07-02 06:44:48,810 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:02:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9912, loss_cls: 0.5599, loss: 0.5599 +2025-07-02 06:45:07,136 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:01:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9856, loss_cls: 0.5954, loss: 0.5954 +2025-07-02 06:45:25,625 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 5:01:22, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 0.5675, loss: 0.5675 +2025-07-02 06:45:43,405 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 5:01:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9825, loss_cls: 0.5485, loss: 0.5485 +2025-07-02 06:46:01,335 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 5:00:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9894, loss_cls: 0.5509, loss: 0.5509 +2025-07-02 06:46:19,243 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 5:00:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9950, loss_cls: 0.5381, loss: 0.5381 +2025-07-02 06:46:37,061 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 5:00:01, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9844, loss_cls: 0.5935, loss: 0.5935 +2025-07-02 06:46:55,658 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 06:47:32,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:47:32,943 - pyskl - INFO - +top1_acc 0.9256 +top5_acc 0.9937 +2025-07-02 06:47:32,944 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.9256, top5_acc: 0.9937 +2025-07-02 06:48:15,229 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:59:38, time: 0.423, data_time: 0.241, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9881, loss_cls: 0.5919, loss: 0.5919 +2025-07-02 06:48:33,447 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:59:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9881, loss_cls: 0.5746, loss: 0.5746 +2025-07-02 06:48:51,827 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:59:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9912, loss_cls: 0.5221, loss: 0.5221 +2025-07-02 06:49:09,828 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:58:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9869, loss_cls: 0.5695, loss: 0.5695 +2025-07-02 06:49:28,123 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:58:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9919, loss_cls: 0.5058, loss: 0.5058 +2025-07-02 06:49:46,364 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:58:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9844, loss_cls: 0.6134, loss: 0.6134 +2025-07-02 06:50:04,523 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:57:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9906, loss_cls: 0.5375, loss: 0.5375 +2025-07-02 06:50:22,404 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:57:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9831, loss_cls: 0.6046, loss: 0.6046 +2025-07-02 06:50:40,850 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 06:51:17,889 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:51:17,913 - pyskl - INFO - +top1_acc 0.9363 +top5_acc 0.9940 +2025-07-02 06:51:17,914 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.9363, top5_acc: 0.9940 +2025-07-02 06:52:00,496 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:56:59, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.5137, loss: 0.5137 +2025-07-02 06:52:18,805 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:56:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5728, loss: 0.5728 +2025-07-02 06:52:36,866 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:56:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5469, loss: 0.5469 +2025-07-02 06:52:55,466 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:56:02, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 0.5254, loss: 0.5254 +2025-07-02 06:53:13,639 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:55:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9862, loss_cls: 0.5168, loss: 0.5168 +2025-07-02 06:53:32,121 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:55:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9875, loss_cls: 0.5250, loss: 0.5250 +2025-07-02 06:53:50,449 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:55:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9869, loss_cls: 0.5608, loss: 0.5608 +2025-07-02 06:54:08,755 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:54:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5765, loss: 0.5765 +2025-07-02 06:54:27,318 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 06:55:04,331 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:55:04,355 - pyskl - INFO - +top1_acc 0.9153 +top5_acc 0.9944 +2025-07-02 06:55:04,357 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.9153, top5_acc: 0.9944 +2025-07-02 06:55:47,072 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:54:23, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9862, loss_cls: 0.5653, loss: 0.5653 +2025-07-02 06:56:05,296 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:54:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5520, loss: 0.5520 +2025-07-02 06:56:23,443 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:53:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9919, loss_cls: 0.4980, loss: 0.4980 +2025-07-02 06:56:41,648 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:53:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4748, loss: 0.4748 +2025-07-02 06:57:00,032 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:53:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9881, loss_cls: 0.5905, loss: 0.5905 +2025-07-02 06:57:18,140 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:52:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9906, loss_cls: 0.5184, loss: 0.5184 +2025-07-02 06:57:36,107 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:52:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5604, loss: 0.5604 +2025-07-02 06:57:54,418 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:52:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9875, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 06:58:12,966 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 06:58:49,633 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:58:49,662 - pyskl - INFO - +top1_acc 0.8901 +top5_acc 0.9830 +2025-07-02 06:58:49,663 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.8901, top5_acc: 0.9830 +2025-07-02 06:59:32,430 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:51:44, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 0.6228, loss: 0.6228 +2025-07-02 06:59:50,480 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:51:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5308, loss: 0.5308 +2025-07-02 07:00:08,735 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:51:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9888, loss_cls: 0.5011, loss: 0.5011 +2025-07-02 07:00:27,181 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:50:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9925, loss_cls: 0.5474, loss: 0.5474 +2025-07-02 07:00:45,068 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:50:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9850, loss_cls: 0.5666, loss: 0.5666 +2025-07-02 07:01:03,645 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:50:07, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9906, loss_cls: 0.5600, loss: 0.5600 +2025-07-02 07:01:21,387 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:49:46, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9894, loss_cls: 0.5431, loss: 0.5431 +2025-07-02 07:01:39,679 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:49:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9888, loss_cls: 0.4923, loss: 0.4923 +2025-07-02 07:01:58,017 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 07:02:35,572 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:02:35,600 - pyskl - INFO - +top1_acc 0.9395 +top5_acc 0.9944 +2025-07-02 07:02:35,606 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_39.pth was removed +2025-07-02 07:02:35,809 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_46.pth. +2025-07-02 07:02:35,810 - pyskl - INFO - Best top1_acc is 0.9395 at 46 epoch. +2025-07-02 07:02:35,811 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.9395, top5_acc: 0.9944 +2025-07-02 07:03:19,204 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:49:05, time: 0.434, data_time: 0.242, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9919, loss_cls: 0.4977, loss: 0.4977 +2025-07-02 07:03:37,594 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:48:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9862, loss_cls: 0.5345, loss: 0.5345 +2025-07-02 07:03:55,815 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:48:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9950, loss_cls: 0.4422, loss: 0.4422 +2025-07-02 07:04:14,092 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:48:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5352, loss: 0.5352 +2025-07-02 07:04:32,161 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:47:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9869, loss_cls: 0.5340, loss: 0.5340 +2025-07-02 07:04:50,503 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:47:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9912, loss_cls: 0.5161, loss: 0.5161 +2025-07-02 07:05:08,944 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:47:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9925, loss_cls: 0.5691, loss: 0.5691 +2025-07-02 07:05:27,050 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:46:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5376, loss: 0.5376 +2025-07-02 07:05:45,706 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 07:06:25,565 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:06:25,591 - pyskl - INFO - +top1_acc 0.9321 +top5_acc 0.9947 +2025-07-02 07:06:25,592 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9321, top5_acc: 0.9947 +2025-07-02 07:07:08,985 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:46:28, time: 0.434, data_time: 0.242, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9919, loss_cls: 0.4908, loss: 0.4908 +2025-07-02 07:07:27,391 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:46:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9919, loss_cls: 0.5035, loss: 0.5035 +2025-07-02 07:07:45,557 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:45:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4710, loss: 0.4710 +2025-07-02 07:08:03,664 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:45:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9919, loss_cls: 0.5576, loss: 0.5576 +2025-07-02 07:08:21,488 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:45:09, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9912, loss_cls: 0.5631, loss: 0.5631 +2025-07-02 07:08:39,741 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:44:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9906, loss_cls: 0.5306, loss: 0.5306 +2025-07-02 07:08:58,089 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:44:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9919, loss_cls: 0.4816, loss: 0.4816 +2025-07-02 07:09:16,223 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:44:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9850, loss_cls: 0.5251, loss: 0.5251 +2025-07-02 07:09:34,663 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 07:10:12,187 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:10:12,222 - pyskl - INFO - +top1_acc 0.9350 +top5_acc 0.9949 +2025-07-02 07:10:12,224 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9350, top5_acc: 0.9949 +2025-07-02 07:10:55,749 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:43:48, time: 0.435, data_time: 0.246, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9919, loss_cls: 0.5007, loss: 0.5007 +2025-07-02 07:11:13,962 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:43:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9869, loss_cls: 0.5040, loss: 0.5040 +2025-07-02 07:11:32,081 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:43:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9888, loss_cls: 0.4877, loss: 0.4877 +2025-07-02 07:11:50,075 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:42:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5240, loss: 0.5240 +2025-07-02 07:12:08,348 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:42:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.5248, loss: 0.5248 +2025-07-02 07:12:26,244 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:42:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9881, loss_cls: 0.5004, loss: 0.5004 +2025-07-02 07:12:44,512 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:41:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9906, loss_cls: 0.5187, loss: 0.5187 +2025-07-02 07:13:02,326 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:41:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9894, loss_cls: 0.4928, loss: 0.4928 +2025-07-02 07:13:20,680 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 07:13:58,000 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:13:58,024 - pyskl - INFO - +top1_acc 0.9340 +top5_acc 0.9951 +2025-07-02 07:13:58,025 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.9340, top5_acc: 0.9951 +2025-07-02 07:14:41,384 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:41:07, time: 0.434, data_time: 0.246, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9894, loss_cls: 0.5175, loss: 0.5175 +2025-07-02 07:14:59,599 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:40:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9950, loss_cls: 0.4595, loss: 0.4595 +2025-07-02 07:15:18,234 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:40:29, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4703, loss: 0.4703 +2025-07-02 07:15:36,310 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:40:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9925, loss_cls: 0.4688, loss: 0.4688 +2025-07-02 07:15:55,086 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:39:51, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9881, loss_cls: 0.5044, loss: 0.5044 +2025-07-02 07:16:13,178 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:39:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9900, loss_cls: 0.5344, loss: 0.5344 +2025-07-02 07:16:31,773 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:39:13, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9869, loss_cls: 0.5595, loss: 0.5595 +2025-07-02 07:16:50,014 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:38:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9906, loss_cls: 0.5353, loss: 0.5353 +2025-07-02 07:17:08,875 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 07:17:46,660 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:17:46,688 - pyskl - INFO - +top1_acc 0.9261 +top5_acc 0.9940 +2025-07-02 07:17:46,690 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.9261, top5_acc: 0.9940 +2025-07-02 07:18:30,685 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:38:31, time: 0.440, data_time: 0.252, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9894, loss_cls: 0.5128, loss: 0.5128 +2025-07-02 07:18:48,920 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:38:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9931, loss_cls: 0.5081, loss: 0.5081 +2025-07-02 07:19:07,547 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:37:52, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.4218, loss: 0.4218 +2025-07-02 07:19:25,686 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:37:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9862, loss_cls: 0.5670, loss: 0.5670 +2025-07-02 07:19:43,834 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:37:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.4961, loss: 0.4961 +2025-07-02 07:20:01,946 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:36:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5119, loss: 0.5119 +2025-07-02 07:20:19,963 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:36:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9906, loss_cls: 0.4532, loss: 0.4532 +2025-07-02 07:20:38,049 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:36:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9906, loss_cls: 0.5200, loss: 0.5200 +2025-07-02 07:20:56,699 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 07:21:33,679 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:21:33,701 - pyskl - INFO - +top1_acc 0.9258 +top5_acc 0.9958 +2025-07-02 07:21:33,703 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.9258, top5_acc: 0.9958 +2025-07-02 07:22:16,478 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:35:49, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9894, loss_cls: 0.5642, loss: 0.5642 +2025-07-02 07:22:34,378 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:35:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9888, loss_cls: 0.4874, loss: 0.4874 +2025-07-02 07:22:52,562 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:35:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9938, loss_cls: 0.4689, loss: 0.4689 +2025-07-02 07:23:10,497 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:34:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9900, loss_cls: 0.4283, loss: 0.4283 +2025-07-02 07:23:28,815 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:34:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9931, loss_cls: 0.5003, loss: 0.5003 +2025-07-02 07:23:46,925 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:34:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9888, loss_cls: 0.5256, loss: 0.5256 +2025-07-02 07:24:04,940 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:33:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9825, loss_cls: 0.5584, loss: 0.5584 +2025-07-02 07:24:22,877 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:33:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9912, loss_cls: 0.5032, loss: 0.5032 +2025-07-02 07:24:41,117 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 07:25:18,533 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:25:18,556 - pyskl - INFO - +top1_acc 0.9407 +top5_acc 0.9944 +2025-07-02 07:25:18,560 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_46.pth was removed +2025-07-02 07:25:18,813 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_52.pth. +2025-07-02 07:25:18,814 - pyskl - INFO - Best top1_acc is 0.9407 at 52 epoch. +2025-07-02 07:25:18,816 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.9407, top5_acc: 0.9944 +2025-07-02 07:26:01,212 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:33:04, time: 0.424, data_time: 0.238, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9944, loss_cls: 0.4371, loss: 0.4371 +2025-07-02 07:26:19,599 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:32:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9906, loss_cls: 0.4608, loss: 0.4608 +2025-07-02 07:26:37,907 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:32:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4448, loss: 0.4448 +2025-07-02 07:26:55,730 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:32:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9956, loss_cls: 0.4990, loss: 0.4990 +2025-07-02 07:27:13,840 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:31:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9906, loss_cls: 0.5142, loss: 0.5142 +2025-07-02 07:27:31,803 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:31:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9856, loss_cls: 0.4962, loss: 0.4962 +2025-07-02 07:27:49,825 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:31:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5375, loss: 0.5375 +2025-07-02 07:28:07,621 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:30:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4768, loss: 0.4768 +2025-07-02 07:28:25,821 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 07:29:03,183 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:29:03,205 - pyskl - INFO - +top1_acc 0.9321 +top5_acc 0.9946 +2025-07-02 07:29:03,207 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9321, top5_acc: 0.9946 +2025-07-02 07:29:46,521 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:30:21, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9900, loss_cls: 0.4685, loss: 0.4685 +2025-07-02 07:30:04,612 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:30:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9912, loss_cls: 0.4503, loss: 0.4503 +2025-07-02 07:30:23,091 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:29:42, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4218, loss: 0.4218 +2025-07-02 07:30:41,392 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:29:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4490, loss: 0.4490 +2025-07-02 07:30:59,613 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:29:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4709, loss: 0.4709 +2025-07-02 07:31:17,489 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:28:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 0.5193, loss: 0.5193 +2025-07-02 07:31:35,363 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:28:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9888, loss_cls: 0.4697, loss: 0.4697 +2025-07-02 07:31:53,329 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:28:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9925, loss_cls: 0.4774, loss: 0.4774 +2025-07-02 07:32:11,884 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 07:32:49,661 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:32:49,684 - pyskl - INFO - +top1_acc 0.9192 +top5_acc 0.9925 +2025-07-02 07:32:49,685 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9192, top5_acc: 0.9925 +2025-07-02 07:33:32,140 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:27:37, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9894, loss_cls: 0.5392, loss: 0.5392 +2025-07-02 07:33:50,454 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:27:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9906, loss_cls: 0.4949, loss: 0.4949 +2025-07-02 07:34:08,739 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:26:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9894, loss_cls: 0.5001, loss: 0.5001 +2025-07-02 07:34:27,308 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:26:39, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9919, loss_cls: 0.4882, loss: 0.4882 +2025-07-02 07:34:45,396 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:26:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9038, top5_acc: 0.9938, loss_cls: 0.5118, loss: 0.5118 +2025-07-02 07:35:03,607 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:26:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9894, loss_cls: 0.4753, loss: 0.4753 +2025-07-02 07:35:21,573 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:25:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9869, loss_cls: 0.4748, loss: 0.4748 +2025-07-02 07:35:39,504 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:25:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9900, loss_cls: 0.4537, loss: 0.4537 +2025-07-02 07:35:58,207 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 07:36:35,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:36:35,690 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9949 +2025-07-02 07:36:35,691 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9274, top5_acc: 0.9949 +2025-07-02 07:37:19,518 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:24:56, time: 0.438, data_time: 0.252, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9900, loss_cls: 0.5523, loss: 0.5523 +2025-07-02 07:37:37,654 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:24:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9938, loss_cls: 0.4694, loss: 0.4694 +2025-07-02 07:37:55,785 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:24:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3968, loss: 0.3968 +2025-07-02 07:38:13,954 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:23:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9875, loss_cls: 0.4977, loss: 0.4977 +2025-07-02 07:38:32,095 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:23:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9856, loss_cls: 0.5480, loss: 0.5480 +2025-07-02 07:38:50,255 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:23:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9925, loss_cls: 0.4803, loss: 0.4803 +2025-07-02 07:39:08,341 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:22:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9050, top5_acc: 0.9938, loss_cls: 0.4941, loss: 0.4941 +2025-07-02 07:39:26,317 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:22:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9919, loss_cls: 0.4536, loss: 0.4536 +2025-07-02 07:39:44,631 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 07:40:21,890 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:40:21,913 - pyskl - INFO - +top1_acc 0.9524 +top5_acc 0.9947 +2025-07-02 07:40:21,917 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_52.pth was removed +2025-07-02 07:40:22,106 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-02 07:40:22,106 - pyskl - INFO - Best top1_acc is 0.9524 at 56 epoch. +2025-07-02 07:40:22,108 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9524, top5_acc: 0.9947 +2025-07-02 07:41:05,592 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:22:13, time: 0.435, data_time: 0.248, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9956, loss_cls: 0.4236, loss: 0.4236 +2025-07-02 07:41:24,205 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:21:54, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9894, loss_cls: 0.4631, loss: 0.4631 +2025-07-02 07:41:42,105 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:21:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4570, loss: 0.4570 +2025-07-02 07:42:00,408 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:21:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4519, loss: 0.4519 +2025-07-02 07:42:18,732 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:20:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9900, loss_cls: 0.4325, loss: 0.4325 +2025-07-02 07:42:36,934 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:20:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9906, loss_cls: 0.3917, loss: 0.3917 +2025-07-02 07:42:55,206 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:20:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9938, loss_cls: 0.4975, loss: 0.4975 +2025-07-02 07:43:13,248 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:19:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9875, loss_cls: 0.4973, loss: 0.4973 +2025-07-02 07:43:32,053 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 07:44:10,598 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:44:10,620 - pyskl - INFO - +top1_acc 0.9263 +top5_acc 0.9943 +2025-07-02 07:44:10,621 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.9263, top5_acc: 0.9943 +2025-07-02 07:44:54,167 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:19:31, time: 0.435, data_time: 0.247, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9906, loss_cls: 0.4479, loss: 0.4479 +2025-07-02 07:45:12,599 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:19:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9906, loss_cls: 0.4999, loss: 0.4999 +2025-07-02 07:45:30,654 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:18:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9944, loss_cls: 0.4504, loss: 0.4504 +2025-07-02 07:45:48,377 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:18:32, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3832, loss: 0.3832 +2025-07-02 07:46:06,485 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:18:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9919, loss_cls: 0.4677, loss: 0.4677 +2025-07-02 07:46:24,536 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:17:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4238, loss: 0.4238 +2025-07-02 07:46:42,825 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:17:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4427, loss: 0.4427 +2025-07-02 07:47:00,956 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:17:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9925, loss_cls: 0.4973, loss: 0.4973 +2025-07-02 07:47:19,836 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 07:47:57,205 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:47:57,234 - pyskl - INFO - +top1_acc 0.9410 +top5_acc 0.9950 +2025-07-02 07:47:57,235 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.9410, top5_acc: 0.9950 +2025-07-02 07:48:40,453 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:16:47, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4876, loss: 0.4876 +2025-07-02 07:48:58,994 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:16:28, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9938, loss_cls: 0.4525, loss: 0.4525 +2025-07-02 07:49:17,009 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:16:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9956, loss_cls: 0.4372, loss: 0.4372 +2025-07-02 07:49:35,255 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:15:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9900, loss_cls: 0.4472, loss: 0.4472 +2025-07-02 07:49:53,321 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:15:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9900, loss_cls: 0.4611, loss: 0.4611 +2025-07-02 07:50:11,649 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:15:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4247, loss: 0.4247 +2025-07-02 07:50:29,593 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:14:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9944, loss_cls: 0.3992, loss: 0.3992 +2025-07-02 07:50:47,848 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:14:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5209, loss: 0.5209 +2025-07-02 07:51:06,540 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 07:51:43,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:51:43,661 - pyskl - INFO - +top1_acc 0.9528 +top5_acc 0.9955 +2025-07-02 07:51:43,665 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_56.pth was removed +2025-07-02 07:51:43,850 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. +2025-07-02 07:51:43,851 - pyskl - INFO - Best top1_acc is 0.9528 at 59 epoch. +2025-07-02 07:51:43,852 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9528, top5_acc: 0.9955 +2025-07-02 07:52:27,273 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:14:04, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9931, loss_cls: 0.4065, loss: 0.4065 +2025-07-02 07:52:46,135 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:13:46, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4476, loss: 0.4476 +2025-07-02 07:53:04,020 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:13:26, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9931, loss_cls: 0.4087, loss: 0.4087 +2025-07-02 07:53:22,120 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:13:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4861, loss: 0.4861 +2025-07-02 07:53:40,035 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:12:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9919, loss_cls: 0.4455, loss: 0.4455 +2025-07-02 07:53:58,357 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:12:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9938, loss_cls: 0.4232, loss: 0.4232 +2025-07-02 07:54:16,676 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:12:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9881, loss_cls: 0.4917, loss: 0.4917 +2025-07-02 07:54:34,644 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:11:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9919, loss_cls: 0.4584, loss: 0.4584 +2025-07-02 07:54:53,458 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 07:55:30,833 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:55:30,860 - pyskl - INFO - +top1_acc 0.9395 +top5_acc 0.9951 +2025-07-02 07:55:30,861 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9395, top5_acc: 0.9951 +2025-07-02 07:56:14,535 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:11:22, time: 0.437, data_time: 0.247, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9944, loss_cls: 0.4024, loss: 0.4024 +2025-07-02 07:56:33,001 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:11:02, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4182, loss: 0.4182 +2025-07-02 07:56:50,780 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:10:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9956, loss_cls: 0.4561, loss: 0.4561 +2025-07-02 07:57:08,901 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:10:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4389, loss: 0.4389 +2025-07-02 07:57:26,820 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:10:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9888, loss_cls: 0.4809, loss: 0.4809 +2025-07-02 07:57:44,939 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:09:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9881, loss_cls: 0.4842, loss: 0.4842 +2025-07-02 07:58:02,866 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:09:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9931, loss_cls: 0.4333, loss: 0.4333 +2025-07-02 07:58:21,083 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:09:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4014, loss: 0.4014 +2025-07-02 07:58:39,804 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 07:59:16,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:59:16,920 - pyskl - INFO - +top1_acc 0.9391 +top5_acc 0.9947 +2025-07-02 07:59:16,921 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9391, top5_acc: 0.9947 +2025-07-02 08:00:00,539 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:08:37, time: 0.436, data_time: 0.250, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9944, loss_cls: 0.4388, loss: 0.4388 +2025-07-02 08:00:18,409 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:08:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4613, loss: 0.4613 +2025-07-02 08:00:36,373 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:07:58, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 08:00:54,130 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:07:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9956, loss_cls: 0.3738, loss: 0.3738 +2025-07-02 08:01:12,059 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:07:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9881, loss_cls: 0.4552, loss: 0.4552 +2025-07-02 08:01:30,353 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:06:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9931, loss_cls: 0.4539, loss: 0.4539 +2025-07-02 08:01:48,129 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:06:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9925, loss_cls: 0.5249, loss: 0.5249 +2025-07-02 08:02:06,243 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:06:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9912, loss_cls: 0.3992, loss: 0.3992 +2025-07-02 08:02:24,946 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 08:03:02,064 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:03:02,092 - pyskl - INFO - +top1_acc 0.9439 +top5_acc 0.9954 +2025-07-02 08:03:02,094 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9439, top5_acc: 0.9954 +2025-07-02 08:03:44,708 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:05:50, time: 0.426, data_time: 0.238, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9888, loss_cls: 0.4495, loss: 0.4495 +2025-07-02 08:04:03,109 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:05:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9894, loss_cls: 0.5131, loss: 0.5131 +2025-07-02 08:04:21,262 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:05:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3961, loss: 0.3961 +2025-07-02 08:04:39,258 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:04:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9931, loss_cls: 0.4336, loss: 0.4336 +2025-07-02 08:04:57,253 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:04:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9962, loss_cls: 0.4372, loss: 0.4372 +2025-07-02 08:05:15,348 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:04:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9925, loss_cls: 0.4430, loss: 0.4430 +2025-07-02 08:05:33,638 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:03:53, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9912, loss_cls: 0.4381, loss: 0.4381 +2025-07-02 08:05:51,514 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:03:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9925, loss_cls: 0.4194, loss: 0.4194 +2025-07-02 08:06:09,995 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 08:06:46,666 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:06:46,693 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9954 +2025-07-02 08:06:46,695 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.9442, top5_acc: 0.9954 +2025-07-02 08:07:29,828 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:03:05, time: 0.431, data_time: 0.243, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3911, loss: 0.3911 +2025-07-02 08:07:47,865 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:02:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4819, loss: 0.4819 +2025-07-02 08:08:06,055 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:02:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9956, loss_cls: 0.3818, loss: 0.3818 +2025-07-02 08:08:23,948 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:02:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9912, loss_cls: 0.4725, loss: 0.4725 +2025-07-02 08:08:42,009 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:01:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9900, loss_cls: 0.4534, loss: 0.4534 +2025-07-02 08:09:00,338 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:01:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9981, loss_cls: 0.4078, loss: 0.4078 +2025-07-02 08:09:18,030 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 4:01:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4325, loss: 0.4325 +2025-07-02 08:09:36,191 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 4:00:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.4008, loss: 0.4008 +2025-07-02 08:09:55,142 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 08:10:32,297 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:10:32,326 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9953 +2025-07-02 08:10:32,328 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9460, top5_acc: 0.9953 +2025-07-02 08:11:14,996 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 4:00:19, time: 0.427, data_time: 0.242, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3633, loss: 0.3633 +2025-07-02 08:11:33,355 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 4:00:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9944, loss_cls: 0.4234, loss: 0.4234 +2025-07-02 08:11:51,394 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:59:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9944, loss_cls: 0.4341, loss: 0.4341 +2025-07-02 08:12:09,288 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:59:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9944, loss_cls: 0.3911, loss: 0.3911 +2025-07-02 08:12:27,121 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:59:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9856, loss_cls: 0.4499, loss: 0.4499 +2025-07-02 08:12:45,305 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:58:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3830, loss: 0.3830 +2025-07-02 08:13:03,325 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:58:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9912, loss_cls: 0.4332, loss: 0.4332 +2025-07-02 08:13:21,389 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:58:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9906, loss_cls: 0.3723, loss: 0.3723 +2025-07-02 08:13:39,613 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 08:14:16,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:14:16,582 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9947 +2025-07-02 08:14:16,584 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9442, top5_acc: 0.9947 +2025-07-02 08:14:59,388 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:57:33, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 08:15:17,622 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:57:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9906, loss_cls: 0.4049, loss: 0.4049 +2025-07-02 08:15:35,681 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:56:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9925, loss_cls: 0.3991, loss: 0.3991 +2025-07-02 08:15:53,986 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:56:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4023, loss: 0.4023 +2025-07-02 08:16:12,317 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:56:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9925, loss_cls: 0.3896, loss: 0.3896 +2025-07-02 08:16:30,913 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:55:57, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9925, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 08:16:48,918 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:55:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9956, loss_cls: 0.4384, loss: 0.4384 +2025-07-02 08:17:07,089 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:55:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3895, loss: 0.3895 +2025-07-02 08:17:25,313 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 08:18:01,826 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:18:01,850 - pyskl - INFO - +top1_acc 0.9477 +top5_acc 0.9955 +2025-07-02 08:18:01,851 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.9477, top5_acc: 0.9955 +2025-07-02 08:18:44,043 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:54:47, time: 0.422, data_time: 0.240, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9919, loss_cls: 0.4220, loss: 0.4220 +2025-07-02 08:19:02,183 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:54:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9900, loss_cls: 0.4216, loss: 0.4216 +2025-07-02 08:19:20,299 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:54:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.3974, loss: 0.3974 +2025-07-02 08:19:38,442 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:53:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9969, loss_cls: 0.3850, loss: 0.3850 +2025-07-02 08:19:56,205 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:53:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9906, loss_cls: 0.3936, loss: 0.3936 +2025-07-02 08:20:14,314 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:53:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9969, loss_cls: 0.3791, loss: 0.3791 +2025-07-02 08:20:32,324 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:52:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4821, loss: 0.4821 +2025-07-02 08:20:50,301 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:52:30, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.4116, loss: 0.4116 +2025-07-02 08:21:09,099 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 08:21:46,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:21:46,862 - pyskl - INFO - +top1_acc 0.9489 +top5_acc 0.9953 +2025-07-02 08:21:46,863 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9489, top5_acc: 0.9953 +2025-07-02 08:22:30,158 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:52:01, time: 0.433, data_time: 0.245, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4190, loss: 0.4190 +2025-07-02 08:22:48,404 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:51:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9888, loss_cls: 0.4114, loss: 0.4114 +2025-07-02 08:23:06,320 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:51:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9944, loss_cls: 0.3894, loss: 0.3894 +2025-07-02 08:23:24,721 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:51:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9944, loss_cls: 0.3869, loss: 0.3869 +2025-07-02 08:23:42,785 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:50:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4433, loss: 0.4433 +2025-07-02 08:24:00,958 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:50:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4200, loss: 0.4200 +2025-07-02 08:24:19,263 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:50:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9944, loss_cls: 0.4479, loss: 0.4479 +2025-07-02 08:24:37,341 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:49:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9906, loss_cls: 0.3663, loss: 0.3663 +2025-07-02 08:24:55,772 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 08:25:31,960 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:25:31,983 - pyskl - INFO - +top1_acc 0.9481 +top5_acc 0.9946 +2025-07-02 08:25:31,983 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9481, top5_acc: 0.9946 +2025-07-02 08:26:14,967 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:49:16, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9912, loss_cls: 0.3955, loss: 0.3955 +2025-07-02 08:26:33,570 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:48:57, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.4254, loss: 0.4254 +2025-07-02 08:26:51,955 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:48:38, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9950, loss_cls: 0.3035, loss: 0.3035 +2025-07-02 08:27:10,189 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:48:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.3086, loss: 0.3086 +2025-07-02 08:27:28,388 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:47:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4419, loss: 0.4419 +2025-07-02 08:27:46,663 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:47:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9938, loss_cls: 0.3836, loss: 0.3836 +2025-07-02 08:28:04,385 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:47:20, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.3892, loss: 0.3892 +2025-07-02 08:28:22,632 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:47:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9919, loss_cls: 0.4413, loss: 0.4413 +2025-07-02 08:28:41,067 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 08:29:19,139 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:29:19,170 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9946 +2025-07-02 08:29:19,172 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9516, top5_acc: 0.9946 +2025-07-02 08:30:01,564 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:46:30, time: 0.424, data_time: 0.238, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9931, loss_cls: 0.3441, loss: 0.3441 +2025-07-02 08:30:19,990 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:46:11, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4263, loss: 0.4263 +2025-07-02 08:30:37,848 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:45:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9919, loss_cls: 0.3838, loss: 0.3838 +2025-07-02 08:30:55,753 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:45:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9925, loss_cls: 0.3877, loss: 0.3877 +2025-07-02 08:31:13,978 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:45:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9906, loss_cls: 0.3933, loss: 0.3933 +2025-07-02 08:31:32,088 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:44:53, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9931, loss_cls: 0.4044, loss: 0.4044 +2025-07-02 08:31:49,700 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:44:33, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4109, loss: 0.4109 +2025-07-02 08:32:07,867 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:44:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9894, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 08:32:26,315 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 08:33:03,348 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:33:03,376 - pyskl - INFO - +top1_acc 0.9553 +top5_acc 0.9965 +2025-07-02 08:33:03,381 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_59.pth was removed +2025-07-02 08:33:03,588 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. +2025-07-02 08:33:03,588 - pyskl - INFO - Best top1_acc is 0.9553 at 70 epoch. +2025-07-02 08:33:03,590 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9553, top5_acc: 0.9965 +2025-07-02 08:33:46,634 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:43:44, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3675, loss: 0.3675 +2025-07-02 08:34:04,750 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:43:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9888, loss_cls: 0.3747, loss: 0.3747 +2025-07-02 08:34:22,847 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:43:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9962, loss_cls: 0.3429, loss: 0.3429 +2025-07-02 08:34:41,157 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:42:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3572, loss: 0.3572 +2025-07-02 08:34:59,203 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:42:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9906, loss_cls: 0.3880, loss: 0.3880 +2025-07-02 08:35:17,585 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:42:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9906, loss_cls: 0.4402, loss: 0.4402 +2025-07-02 08:35:35,439 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:41:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9919, loss_cls: 0.3817, loss: 0.3817 +2025-07-02 08:35:53,748 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:41:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3880, loss: 0.3880 +2025-07-02 08:36:12,356 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 08:36:49,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:36:49,871 - pyskl - INFO - +top1_acc 0.9421 +top5_acc 0.9955 +2025-07-02 08:36:49,872 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9421, top5_acc: 0.9955 +2025-07-02 08:37:33,783 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:40:59, time: 0.439, data_time: 0.247, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9931, loss_cls: 0.3256, loss: 0.3256 +2025-07-02 08:37:52,267 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:40:40, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9944, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 08:38:10,575 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:40:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9938, loss_cls: 0.3941, loss: 0.3941 +2025-07-02 08:38:29,144 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:40:02, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3334, loss: 0.3334 +2025-07-02 08:38:46,992 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:39:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9919, loss_cls: 0.3936, loss: 0.3936 +2025-07-02 08:39:05,028 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:39:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9931, loss_cls: 0.3975, loss: 0.3975 +2025-07-02 08:39:22,996 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:39:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9881, loss_cls: 0.4248, loss: 0.4248 +2025-07-02 08:39:41,084 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:38:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9988, loss_cls: 0.3304, loss: 0.3304 +2025-07-02 08:39:59,741 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 08:40:36,817 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:40:36,845 - pyskl - INFO - +top1_acc 0.9474 +top5_acc 0.9961 +2025-07-02 08:40:36,846 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9474, top5_acc: 0.9961 +2025-07-02 08:41:19,301 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:38:13, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3731, loss: 0.3731 +2025-07-02 08:41:37,103 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:37:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9950, loss_cls: 0.3075, loss: 0.3075 +2025-07-02 08:41:55,237 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:37:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.3299, loss: 0.3299 +2025-07-02 08:42:13,000 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:37:14, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4135, loss: 0.4135 +2025-07-02 08:42:31,615 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:36:55, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9919, loss_cls: 0.3649, loss: 0.3649 +2025-07-02 08:42:49,667 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:36:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9944, loss_cls: 0.3624, loss: 0.3624 +2025-07-02 08:43:07,330 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:36:16, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9925, loss_cls: 0.3771, loss: 0.3771 +2025-07-02 08:43:25,650 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:35:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9962, loss_cls: 0.3030, loss: 0.3030 +2025-07-02 08:43:44,001 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 08:44:20,909 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:44:20,931 - pyskl - INFO - +top1_acc 0.9584 +top5_acc 0.9950 +2025-07-02 08:44:20,935 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_70.pth was removed +2025-07-02 08:44:21,122 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_73.pth. +2025-07-02 08:44:21,123 - pyskl - INFO - Best top1_acc is 0.9584 at 73 epoch. +2025-07-02 08:44:21,124 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9584, top5_acc: 0.9950 +2025-07-02 08:45:03,961 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:35:26, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3556, loss: 0.3556 +2025-07-02 08:45:21,961 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:35:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9912, loss_cls: 0.3457, loss: 0.3457 +2025-07-02 08:45:39,908 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:34:47, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9931, loss_cls: 0.3290, loss: 0.3290 +2025-07-02 08:45:57,747 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:34:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4231, loss: 0.4231 +2025-07-02 08:46:16,162 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:34:08, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.4011, loss: 0.4011 +2025-07-02 08:46:34,606 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:33:49, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3538, loss: 0.3538 +2025-07-02 08:46:52,444 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:33:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9931, loss_cls: 0.4274, loss: 0.4274 +2025-07-02 08:47:10,852 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:33:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3708, loss: 0.3708 +2025-07-02 08:47:28,902 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 08:48:06,729 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:48:06,764 - pyskl - INFO - +top1_acc 0.9495 +top5_acc 0.9960 +2025-07-02 08:48:06,766 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9495, top5_acc: 0.9960 +2025-07-02 08:48:50,612 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:32:40, time: 0.438, data_time: 0.252, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9919, loss_cls: 0.3529, loss: 0.3529 +2025-07-02 08:49:08,469 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:32:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9894, loss_cls: 0.4391, loss: 0.4391 +2025-07-02 08:49:26,194 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:32:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9956, loss_cls: 0.3499, loss: 0.3499 +2025-07-02 08:49:44,083 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:31:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9919, loss_cls: 0.3527, loss: 0.3527 +2025-07-02 08:50:02,295 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:31:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9938, loss_cls: 0.3723, loss: 0.3723 +2025-07-02 08:50:20,132 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:31:03, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3955, loss: 0.3955 +2025-07-02 08:50:38,025 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:30:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9919, loss_cls: 0.3749, loss: 0.3749 +2025-07-02 08:50:56,207 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:30:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9938, loss_cls: 0.3416, loss: 0.3416 +2025-07-02 08:51:14,569 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 08:51:51,245 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:51:51,268 - pyskl - INFO - +top1_acc 0.9385 +top5_acc 0.9951 +2025-07-02 08:51:51,269 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.9385, top5_acc: 0.9951 +2025-07-02 08:52:34,019 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:29:52, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9931, loss_cls: 0.3820, loss: 0.3820 +2025-07-02 08:52:52,221 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:29:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9906, loss_cls: 0.3672, loss: 0.3672 +2025-07-02 08:53:10,147 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:29:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9906, loss_cls: 0.3201, loss: 0.3201 +2025-07-02 08:53:28,074 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:28:54, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9956, loss_cls: 0.3106, loss: 0.3106 +2025-07-02 08:53:46,238 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:28:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3370, loss: 0.3370 +2025-07-02 08:54:04,913 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:28:16, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3564, loss: 0.3564 +2025-07-02 08:54:22,733 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:27:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9962, loss_cls: 0.3765, loss: 0.3765 +2025-07-02 08:54:40,943 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:27:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9938, loss_cls: 0.3379, loss: 0.3379 +2025-07-02 08:54:59,524 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 08:55:36,555 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:55:36,585 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9967 +2025-07-02 08:55:36,586 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9519, top5_acc: 0.9967 +2025-07-02 08:56:19,986 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:27:06, time: 0.434, data_time: 0.250, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.3750, loss: 0.3750 +2025-07-02 08:56:38,637 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:26:48, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9956, loss_cls: 0.3480, loss: 0.3480 +2025-07-02 08:56:56,435 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:26:28, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 0.3288, loss: 0.3288 +2025-07-02 08:57:14,669 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:26:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9944, loss_cls: 0.3317, loss: 0.3317 +2025-07-02 08:57:33,005 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:25:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9925, loss_cls: 0.3496, loss: 0.3496 +2025-07-02 08:57:50,895 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:25:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9900, loss_cls: 0.3790, loss: 0.3790 +2025-07-02 08:58:09,052 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:25:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9956, loss_cls: 0.3048, loss: 0.3048 +2025-07-02 08:58:27,177 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:24:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.3778, loss: 0.3778 +2025-07-02 08:58:45,314 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 08:59:22,491 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:59:22,519 - pyskl - INFO - +top1_acc 0.9519 +top5_acc 0.9955 +2025-07-02 08:59:22,520 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9519, top5_acc: 0.9955 +2025-07-02 09:00:06,092 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:24:21, time: 0.436, data_time: 0.246, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9938, loss_cls: 0.4016, loss: 0.4016 +2025-07-02 09:00:24,357 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:24:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9875, loss_cls: 0.3903, loss: 0.3903 +2025-07-02 09:00:42,677 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:23:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9944, loss_cls: 0.3464, loss: 0.3464 +2025-07-02 09:01:00,750 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:23:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2799, loss: 0.2799 +2025-07-02 09:01:18,830 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:23:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.3596, loss: 0.3596 +2025-07-02 09:01:36,746 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:22:44, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9919, loss_cls: 0.4017, loss: 0.4017 +2025-07-02 09:01:54,579 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:22:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9944, loss_cls: 0.3560, loss: 0.3560 +2025-07-02 09:02:13,042 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:22:06, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3625, loss: 0.3625 +2025-07-02 09:02:31,583 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 09:03:09,680 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:03:09,703 - pyskl - INFO - +top1_acc 0.9370 +top5_acc 0.9964 +2025-07-02 09:03:09,704 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9370, top5_acc: 0.9964 +2025-07-02 09:03:53,145 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:21:34, time: 0.434, data_time: 0.244, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9950, loss_cls: 0.3473, loss: 0.3473 +2025-07-02 09:04:11,458 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:21:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.3066, loss: 0.3066 +2025-07-02 09:04:29,943 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:20:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9944, loss_cls: 0.3403, loss: 0.3403 +2025-07-02 09:04:47,944 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:20:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3281, loss: 0.3281 +2025-07-02 09:05:06,273 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:20:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9938, loss_cls: 0.3763, loss: 0.3763 +2025-07-02 09:05:24,445 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:19:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9962, loss_cls: 0.3589, loss: 0.3589 +2025-07-02 09:05:42,581 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:19:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9900, loss_cls: 0.3642, loss: 0.3642 +2025-07-02 09:06:00,828 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:19:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3333, loss: 0.3333 +2025-07-02 09:06:19,058 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 09:06:56,623 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:06:56,647 - pyskl - INFO - +top1_acc 0.9484 +top5_acc 0.9954 +2025-07-02 09:06:56,648 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9484, top5_acc: 0.9954 +2025-07-02 09:07:39,874 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:18:48, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3668, loss: 0.3668 +2025-07-02 09:07:57,945 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:18:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2787, loss: 0.2787 +2025-07-02 09:08:16,158 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:18:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9950, loss_cls: 0.3014, loss: 0.3014 +2025-07-02 09:08:33,867 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:17:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3647, loss: 0.3647 +2025-07-02 09:08:51,880 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:17:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9950, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 09:09:10,055 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:17:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9938, loss_cls: 0.3411, loss: 0.3411 +2025-07-02 09:09:27,679 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:16:52, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9956, loss_cls: 0.3120, loss: 0.3120 +2025-07-02 09:09:45,731 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:16:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9950, loss_cls: 0.3736, loss: 0.3736 +2025-07-02 09:10:04,006 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 09:10:41,111 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:10:41,151 - pyskl - INFO - +top1_acc 0.9594 +top5_acc 0.9964 +2025-07-02 09:10:41,158 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_73.pth was removed +2025-07-02 09:10:41,387 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_80.pth. +2025-07-02 09:10:41,388 - pyskl - INFO - Best top1_acc is 0.9594 at 80 epoch. +2025-07-02 09:10:41,389 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9594, top5_acc: 0.9964 +2025-07-02 09:11:25,717 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:16:02, time: 0.443, data_time: 0.247, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9931, loss_cls: 0.3716, loss: 0.3716 +2025-07-02 09:11:44,324 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:15:43, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9962, loss_cls: 0.3303, loss: 0.3303 +2025-07-02 09:12:02,463 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:15:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2920, loss: 0.2920 +2025-07-02 09:12:20,665 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:15:05, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9938, loss_cls: 0.2981, loss: 0.2981 +2025-07-02 09:12:38,460 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:14:45, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9919, loss_cls: 0.3699, loss: 0.3699 +2025-07-02 09:12:56,945 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:14:26, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9931, loss_cls: 0.3257, loss: 0.3257 +2025-07-02 09:13:14,955 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:14:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9925, loss_cls: 0.3483, loss: 0.3483 +2025-07-02 09:13:33,462 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:13:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9956, loss_cls: 0.3659, loss: 0.3659 +2025-07-02 09:13:52,238 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 09:14:29,562 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:14:29,590 - pyskl - INFO - +top1_acc 0.9505 +top5_acc 0.9961 +2025-07-02 09:14:29,592 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.9505, top5_acc: 0.9961 +2025-07-02 09:15:12,990 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:13:16, time: 0.434, data_time: 0.241, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.3052, loss: 0.3052 +2025-07-02 09:15:31,386 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:12:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9919, loss_cls: 0.3468, loss: 0.3468 +2025-07-02 09:15:49,474 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:12:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2894, loss: 0.2894 +2025-07-02 09:16:07,450 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:12:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9912, loss_cls: 0.3563, loss: 0.3563 +2025-07-02 09:16:25,477 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:11:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.2552, loss: 0.2552 +2025-07-02 09:16:43,548 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:11:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3386, loss: 0.3386 +2025-07-02 09:17:01,821 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:11:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3193, loss: 0.3193 +2025-07-02 09:17:20,021 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:11:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9931, loss_cls: 0.3680, loss: 0.3680 +2025-07-02 09:17:38,533 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 09:18:15,669 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:18:15,693 - pyskl - INFO - +top1_acc 0.9182 +top5_acc 0.9930 +2025-07-02 09:18:15,694 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9182, top5_acc: 0.9930 +2025-07-02 09:18:59,441 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:10:30, time: 0.437, data_time: 0.250, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9931, loss_cls: 0.3251, loss: 0.3251 +2025-07-02 09:19:17,876 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:10:11, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.3040, loss: 0.3040 +2025-07-02 09:19:35,895 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:09:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9944, loss_cls: 0.2892, loss: 0.2892 +2025-07-02 09:19:53,817 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:09:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9981, loss_cls: 0.3125, loss: 0.3125 +2025-07-02 09:20:11,997 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:09:13, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3147, loss: 0.3147 +2025-07-02 09:20:30,268 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:08:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9975, loss_cls: 0.3550, loss: 0.3550 +2025-07-02 09:20:48,378 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:08:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9981, loss_cls: 0.2906, loss: 0.2906 +2025-07-02 09:21:06,488 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:08:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3613, loss: 0.3613 +2025-07-02 09:21:25,181 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 09:22:03,520 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:22:03,543 - pyskl - INFO - +top1_acc 0.9491 +top5_acc 0.9967 +2025-07-02 09:22:03,544 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9491, top5_acc: 0.9967 +2025-07-02 09:22:46,422 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:07:43, time: 0.429, data_time: 0.237, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9944, loss_cls: 0.2700, loss: 0.2700 +2025-07-02 09:23:04,712 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:07:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3368, loss: 0.3368 +2025-07-02 09:23:22,923 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:07:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2820, loss: 0.2820 +2025-07-02 09:23:41,293 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:06:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9919, loss_cls: 0.3580, loss: 0.3580 +2025-07-02 09:23:59,364 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:06:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9969, loss_cls: 0.3110, loss: 0.3110 +2025-07-02 09:24:17,613 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:06:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3108, loss: 0.3108 +2025-07-02 09:24:35,719 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:05:47, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.3109, loss: 0.3109 +2025-07-02 09:24:53,911 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:05:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9944, loss_cls: 0.2782, loss: 0.2782 +2025-07-02 09:25:12,467 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 09:25:49,648 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:25:49,673 - pyskl - INFO - +top1_acc 0.9506 +top5_acc 0.9968 +2025-07-02 09:25:49,674 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9506, top5_acc: 0.9968 +2025-07-02 09:26:33,469 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:04:56, time: 0.438, data_time: 0.248, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9925, loss_cls: 0.3116, loss: 0.3116 +2025-07-02 09:26:51,626 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:04:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.3099, loss: 0.3099 +2025-07-02 09:27:09,665 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:04:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9969, loss_cls: 0.2483, loss: 0.2483 +2025-07-02 09:27:27,576 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:03:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9950, loss_cls: 0.3021, loss: 0.3021 +2025-07-02 09:27:45,957 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:03:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.2934, loss: 0.2934 +2025-07-02 09:28:03,856 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:03:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9931, loss_cls: 0.3166, loss: 0.3166 +2025-07-02 09:28:21,979 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:03:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3306, loss: 0.3306 +2025-07-02 09:28:40,147 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:02:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9962, loss_cls: 0.3469, loss: 0.3469 +2025-07-02 09:28:58,813 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 09:29:36,234 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:29:36,272 - pyskl - INFO - +top1_acc 0.9595 +top5_acc 0.9961 +2025-07-02 09:29:36,277 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_80.pth was removed +2025-07-02 09:29:36,495 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2025-07-02 09:29:36,495 - pyskl - INFO - Best top1_acc is 0.9595 at 85 epoch. +2025-07-02 09:29:36,497 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9595, top5_acc: 0.9961 +2025-07-02 09:30:19,622 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:02:09, time: 0.431, data_time: 0.239, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9944, loss_cls: 0.3208, loss: 0.3208 +2025-07-02 09:30:37,965 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:01:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2977, loss: 0.2977 +2025-07-02 09:30:56,001 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:01:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2504, loss: 0.2504 +2025-07-02 09:31:13,785 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:01:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9944, loss_cls: 0.3361, loss: 0.3361 +2025-07-02 09:31:32,273 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 3:00:52, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3338, loss: 0.3338 +2025-07-02 09:31:50,369 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 3:00:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9981, loss_cls: 0.2993, loss: 0.2993 +2025-07-02 09:32:08,555 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 3:00:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9956, loss_cls: 0.2868, loss: 0.2868 +2025-07-02 09:32:26,817 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:59:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9931, loss_cls: 0.3548, loss: 0.3548 +2025-07-02 09:32:45,621 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 09:33:22,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:33:23,028 - pyskl - INFO - +top1_acc 0.9622 +top5_acc 0.9965 +2025-07-02 09:33:23,033 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_85.pth was removed +2025-07-02 09:33:23,286 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-07-02 09:33:23,286 - pyskl - INFO - Best top1_acc is 0.9622 at 86 epoch. +2025-07-02 09:33:23,288 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9622, top5_acc: 0.9965 +2025-07-02 09:34:06,772 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:59:22, time: 0.435, data_time: 0.247, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9938, loss_cls: 0.2577, loss: 0.2577 +2025-07-02 09:34:25,142 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:59:03, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2808, loss: 0.2808 +2025-07-02 09:34:43,432 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:58:44, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9956, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 09:35:01,466 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:58:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9969, loss_cls: 0.2363, loss: 0.2363 +2025-07-02 09:35:19,794 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:58:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2586, loss: 0.2586 +2025-07-02 09:35:37,779 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:57:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9938, loss_cls: 0.3379, loss: 0.3379 +2025-07-02 09:35:56,081 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:57:27, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9956, loss_cls: 0.3002, loss: 0.3002 +2025-07-02 09:36:14,268 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:57:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9938, loss_cls: 0.3219, loss: 0.3219 +2025-07-02 09:36:33,160 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 09:37:11,445 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:37:11,476 - pyskl - INFO - +top1_acc 0.9549 +top5_acc 0.9953 +2025-07-02 09:37:11,478 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9549, top5_acc: 0.9953 +2025-07-02 09:37:56,155 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:56:36, time: 0.447, data_time: 0.252, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9981, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 09:38:14,438 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:56:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2878, loss: 0.2878 +2025-07-02 09:38:32,901 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:55:58, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.2012, loss: 0.2012 +2025-07-02 09:38:51,233 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:55:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9944, loss_cls: 0.2519, loss: 0.2519 +2025-07-02 09:39:09,552 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:55:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 0.2452, loss: 0.2452 +2025-07-02 09:39:27,543 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:55:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.2886, loss: 0.2886 +2025-07-02 09:39:45,588 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:54:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2798, loss: 0.2798 +2025-07-02 09:40:03,977 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:54:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2915, loss: 0.2915 +2025-07-02 09:40:22,982 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 09:41:00,410 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:41:00,432 - pyskl - INFO - +top1_acc 0.9516 +top5_acc 0.9965 +2025-07-02 09:41:00,433 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9516, top5_acc: 0.9965 +2025-07-02 09:41:43,741 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:53:50, time: 0.433, data_time: 0.238, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9925, loss_cls: 0.3317, loss: 0.3317 +2025-07-02 09:42:02,211 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:53:31, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2713, loss: 0.2713 +2025-07-02 09:42:20,171 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:53:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9975, loss_cls: 0.2513, loss: 0.2513 +2025-07-02 09:42:38,237 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:52:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9931, loss_cls: 0.2976, loss: 0.2976 +2025-07-02 09:42:56,600 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:52:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9975, loss_cls: 0.2636, loss: 0.2636 +2025-07-02 09:43:14,660 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:52:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2566, loss: 0.2566 +2025-07-02 09:43:32,940 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:51:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2586, loss: 0.2586 +2025-07-02 09:43:51,042 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:51:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9981, loss_cls: 0.2963, loss: 0.2963 +2025-07-02 09:44:09,716 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 09:44:45,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:44:45,971 - pyskl - INFO - +top1_acc 0.9564 +top5_acc 0.9969 +2025-07-02 09:44:45,972 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9564, top5_acc: 0.9969 +2025-07-02 09:45:28,427 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:51:02, time: 0.425, data_time: 0.230, memory: 2903, top1_acc: 0.9400, top5_acc: 0.9931, loss_cls: 0.3090, loss: 0.3090 +2025-07-02 09:45:46,557 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:50:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.3051, loss: 0.3051 +2025-07-02 09:46:04,824 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:50:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2415, loss: 0.2415 +2025-07-02 09:46:22,720 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:50:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9962, loss_cls: 0.2301, loss: 0.2301 +2025-07-02 09:46:41,012 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:49:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9975, loss_cls: 0.2226, loss: 0.2226 +2025-07-02 09:46:59,193 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:49:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9969, loss_cls: 0.3065, loss: 0.3065 +2025-07-02 09:47:17,816 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:49:07, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2873, loss: 0.2873 +2025-07-02 09:47:35,809 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:48:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2984, loss: 0.2984 +2025-07-02 09:47:54,471 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 09:48:30,268 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:48:30,298 - pyskl - INFO - +top1_acc 0.9608 +top5_acc 0.9961 +2025-07-02 09:48:30,299 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9608, top5_acc: 0.9961 +2025-07-02 09:49:12,534 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:48:14, time: 0.422, data_time: 0.236, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2679, loss: 0.2679 +2025-07-02 09:49:30,864 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:47:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9962, loss_cls: 0.2470, loss: 0.2470 +2025-07-02 09:49:49,395 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:47:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9950, loss_cls: 0.2841, loss: 0.2841 +2025-07-02 09:50:07,509 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:47:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2861, loss: 0.2861 +2025-07-02 09:50:25,845 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:46:58, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9962, loss_cls: 0.2729, loss: 0.2729 +2025-07-02 09:50:43,885 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:46:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2732, loss: 0.2732 +2025-07-02 09:51:02,303 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:46:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9938, loss_cls: 0.2576, loss: 0.2576 +2025-07-02 09:51:20,764 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:46:01, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9944, loss_cls: 0.2606, loss: 0.2606 +2025-07-02 09:51:39,305 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 09:52:15,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:52:15,687 - pyskl - INFO - +top1_acc 0.9628 +top5_acc 0.9957 +2025-07-02 09:52:15,691 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_86.pth was removed +2025-07-02 09:52:15,878 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_91.pth. +2025-07-02 09:52:15,878 - pyskl - INFO - Best top1_acc is 0.9628 at 91 epoch. +2025-07-02 09:52:15,880 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9628, top5_acc: 0.9957 +2025-07-02 09:52:58,197 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:45:27, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9969, loss_cls: 0.2771, loss: 0.2771 +2025-07-02 09:53:16,508 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:45:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9981, loss_cls: 0.2442, loss: 0.2442 +2025-07-02 09:53:34,664 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:44:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2276, loss: 0.2276 +2025-07-02 09:53:52,493 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:44:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9956, loss_cls: 0.2989, loss: 0.2989 +2025-07-02 09:54:11,336 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:44:11, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9956, loss_cls: 0.2365, loss: 0.2365 +2025-07-02 09:54:30,060 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:43:52, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.2202, loss: 0.2202 +2025-07-02 09:54:48,290 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:43:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9988, loss_cls: 0.2031, loss: 0.2031 +2025-07-02 09:55:06,087 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:43:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9956, loss_cls: 0.2585, loss: 0.2585 +2025-07-02 09:55:24,594 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 09:56:00,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:56:01,017 - pyskl - INFO - +top1_acc 0.9523 +top5_acc 0.9969 +2025-07-02 09:56:01,018 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9523, top5_acc: 0.9969 +2025-07-02 09:56:44,181 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:42:40, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2314, loss: 0.2314 +2025-07-02 09:57:02,842 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:42:21, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9975, loss_cls: 0.2688, loss: 0.2688 +2025-07-02 09:57:21,076 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:42:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9956, loss_cls: 0.2383, loss: 0.2383 +2025-07-02 09:57:39,132 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:41:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9988, loss_cls: 0.2221, loss: 0.2221 +2025-07-02 09:57:57,389 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:41:24, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9988, loss_cls: 0.2682, loss: 0.2682 +2025-07-02 09:58:15,264 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:41:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9944, loss_cls: 0.2641, loss: 0.2641 +2025-07-02 09:58:33,200 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:40:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9962, loss_cls: 0.2691, loss: 0.2691 +2025-07-02 09:58:51,339 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:40:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9969, loss_cls: 0.2626, loss: 0.2626 +2025-07-02 09:59:10,014 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 09:59:46,017 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:59:46,045 - pyskl - INFO - +top1_acc 0.9581 +top5_acc 0.9962 +2025-07-02 09:59:46,046 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9581, top5_acc: 0.9962 +2025-07-02 10:00:27,879 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:39:52, time: 0.418, data_time: 0.235, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9981, loss_cls: 0.2588, loss: 0.2588 +2025-07-02 10:00:46,277 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:39:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9950, loss_cls: 0.2550, loss: 0.2550 +2025-07-02 10:01:04,424 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:39:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9944, loss_cls: 0.2283, loss: 0.2283 +2025-07-02 10:01:22,867 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:38:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2804, loss: 0.2804 +2025-07-02 10:01:41,115 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:38:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.2194, loss: 0.2194 +2025-07-02 10:01:59,448 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:38:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2197, loss: 0.2197 +2025-07-02 10:02:17,526 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2487, loss: 0.2487 +2025-07-02 10:02:35,764 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:37:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9938, loss_cls: 0.2681, loss: 0.2681 +2025-07-02 10:02:54,649 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 10:03:32,470 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:03:32,493 - pyskl - INFO - +top1_acc 0.9642 +top5_acc 0.9968 +2025-07-02 10:03:32,497 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_91.pth was removed +2025-07-02 10:03:32,681 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-07-02 10:03:32,682 - pyskl - INFO - Best top1_acc is 0.9642 at 94 epoch. +2025-07-02 10:03:32,683 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9642, top5_acc: 0.9968 +2025-07-02 10:04:16,316 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:37:05, time: 0.436, data_time: 0.249, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9950, loss_cls: 0.2323, loss: 0.2323 +2025-07-02 10:04:34,425 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:36:45, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2356, loss: 0.2356 +2025-07-02 10:04:52,952 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:36:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2719, loss: 0.2719 +2025-07-02 10:05:11,091 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:36:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1935, loss: 0.1935 +2025-07-02 10:05:29,463 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:35:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9950, loss_cls: 0.2530, loss: 0.2530 +2025-07-02 10:05:47,871 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:35:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2173, loss: 0.2173 +2025-07-02 10:06:06,372 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:35:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2774, loss: 0.2774 +2025-07-02 10:06:24,755 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:34:51, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2150, loss: 0.2150 +2025-07-02 10:06:43,291 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 10:07:20,829 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:07:20,853 - pyskl - INFO - +top1_acc 0.9592 +top5_acc 0.9958 +2025-07-02 10:07:20,854 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9592, top5_acc: 0.9958 +2025-07-02 10:08:04,913 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:34:18, time: 0.441, data_time: 0.250, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.1997, loss: 0.1997 +2025-07-02 10:08:23,231 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9950, loss_cls: 0.2208, loss: 0.2208 +2025-07-02 10:08:41,544 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:33:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9962, loss_cls: 0.2182, loss: 0.2182 +2025-07-02 10:08:59,796 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:33:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.2118, loss: 0.2118 +2025-07-02 10:09:17,981 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:33:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2103, loss: 0.2103 +2025-07-02 10:09:36,334 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:32:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9931, loss_cls: 0.2580, loss: 0.2580 +2025-07-02 10:09:54,539 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:32:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9981, loss_cls: 0.2617, loss: 0.2617 +2025-07-02 10:10:12,581 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:32:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2341, loss: 0.2341 +2025-07-02 10:10:31,173 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 10:11:08,563 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:11:08,596 - pyskl - INFO - +top1_acc 0.9517 +top5_acc 0.9965 +2025-07-02 10:11:08,597 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9517, top5_acc: 0.9965 +2025-07-02 10:11:50,908 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:31:30, time: 0.423, data_time: 0.238, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9962, loss_cls: 0.2516, loss: 0.2516 +2025-07-02 10:12:09,444 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:31:11, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9944, loss_cls: 0.2185, loss: 0.2185 +2025-07-02 10:12:27,615 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2209, loss: 0.2209 +2025-07-02 10:12:45,317 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:30:33, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2299, loss: 0.2299 +2025-07-02 10:13:03,114 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:30:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2430, loss: 0.2430 +2025-07-02 10:13:21,305 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9956, loss_cls: 0.2597, loss: 0.2597 +2025-07-02 10:13:39,528 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:29:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2739, loss: 0.2739 +2025-07-02 10:13:57,702 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:29:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9962, loss_cls: 0.2677, loss: 0.2677 +2025-07-02 10:14:16,309 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 10:14:53,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:14:53,994 - pyskl - INFO - +top1_acc 0.9654 +top5_acc 0.9965 +2025-07-02 10:14:53,998 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_94.pth was removed +2025-07-02 10:14:54,225 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_97.pth. +2025-07-02 10:14:54,225 - pyskl - INFO - Best top1_acc is 0.9654 at 97 epoch. +2025-07-02 10:14:54,227 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9654, top5_acc: 0.9965 +2025-07-02 10:15:37,488 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:28:42, time: 0.433, data_time: 0.244, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9944, loss_cls: 0.2457, loss: 0.2457 +2025-07-02 10:15:55,554 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:28:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9956, loss_cls: 0.2223, loss: 0.2223 +2025-07-02 10:16:14,178 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:28:04, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9950, loss_cls: 0.2139, loss: 0.2139 +2025-07-02 10:16:32,208 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:27:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2351, loss: 0.2351 +2025-07-02 10:16:50,253 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:27:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.2013, loss: 0.2013 +2025-07-02 10:17:08,135 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:27:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 0.2123, loss: 0.2123 +2025-07-02 10:17:25,970 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:26:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9950, loss_cls: 0.2290, loss: 0.2290 +2025-07-02 10:17:43,914 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:26:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9956, loss_cls: 0.2385, loss: 0.2385 +2025-07-02 10:18:02,631 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 10:18:40,115 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:18:40,139 - pyskl - INFO - +top1_acc 0.9697 +top5_acc 0.9968 +2025-07-02 10:18:40,143 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_97.pth was removed +2025-07-02 10:18:40,329 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_98.pth. +2025-07-02 10:18:40,330 - pyskl - INFO - Best top1_acc is 0.9697 at 98 epoch. +2025-07-02 10:18:40,331 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9697, top5_acc: 0.9968 +2025-07-02 10:19:23,412 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:54, time: 0.431, data_time: 0.243, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9988, loss_cls: 0.2166, loss: 0.2166 +2025-07-02 10:19:41,822 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:25:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9975, loss_cls: 0.2227, loss: 0.2227 +2025-07-02 10:20:00,120 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:25:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1918, loss: 0.1918 +2025-07-02 10:20:18,432 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9975, loss_cls: 0.2164, loss: 0.2164 +2025-07-02 10:20:36,967 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:24:38, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9988, loss_cls: 0.2152, loss: 0.2152 +2025-07-02 10:20:55,336 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:24:19, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9944, loss_cls: 0.1892, loss: 0.1892 +2025-07-02 10:21:13,545 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:24:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9969, loss_cls: 0.2147, loss: 0.2147 +2025-07-02 10:21:32,094 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:23:41, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9938, loss_cls: 0.2117, loss: 0.2117 +2025-07-02 10:21:50,250 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 10:22:27,188 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:22:27,213 - pyskl - INFO - +top1_acc 0.9627 +top5_acc 0.9961 +2025-07-02 10:22:27,214 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9627, top5_acc: 0.9961 +2025-07-02 10:23:11,752 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:23:08, time: 0.445, data_time: 0.253, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9969, loss_cls: 0.1907, loss: 0.1907 +2025-07-02 10:23:30,777 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:22:49, time: 0.190, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9962, loss_cls: 0.2071, loss: 0.2071 +2025-07-02 10:23:49,111 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:22:30, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9981, loss_cls: 0.1831, loss: 0.1831 +2025-07-02 10:24:07,207 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:22:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9944, loss_cls: 0.2021, loss: 0.2021 +2025-07-02 10:24:25,967 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:52, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9962, loss_cls: 0.2156, loss: 0.2156 +2025-07-02 10:24:43,776 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:21:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9975, loss_cls: 0.1985, loss: 0.1985 +2025-07-02 10:25:01,898 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:21:14, time: 0.181, data_time: 0.001, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9975, loss_cls: 0.1933, loss: 0.1933 +2025-07-02 10:25:20,173 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2176, loss: 0.2176 +2025-07-02 10:25:38,716 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 10:26:16,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:26:16,348 - pyskl - INFO - +top1_acc 0.9640 +top5_acc 0.9968 +2025-07-02 10:26:16,349 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9640, top5_acc: 0.9968 +2025-07-02 10:26:59,254 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:20:20, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9962, loss_cls: 0.2283, loss: 0.2283 +2025-07-02 10:27:17,976 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:20:01, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.2034, loss: 0.2034 +2025-07-02 10:27:36,048 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:19:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 1.0000, loss_cls: 0.1875, loss: 0.1875 +2025-07-02 10:27:54,062 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:19:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9956, loss_cls: 0.1881, loss: 0.1881 +2025-07-02 10:28:12,394 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:19:04, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9956, loss_cls: 0.1781, loss: 0.1781 +2025-07-02 10:28:30,272 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:18:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1717, loss: 0.1717 +2025-07-02 10:28:48,515 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:18:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9975, loss_cls: 0.1857, loss: 0.1857 +2025-07-02 10:29:06,578 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:18:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9969, loss_cls: 0.1542, loss: 0.1542 +2025-07-02 10:29:24,790 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 10:30:02,444 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:30:02,467 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9965 +2025-07-02 10:30:02,468 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9676, top5_acc: 0.9965 +2025-07-02 10:30:45,233 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:17:32, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9981, loss_cls: 0.1869, loss: 0.1869 +2025-07-02 10:31:03,229 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:17:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9644, top5_acc: 0.9969, loss_cls: 0.2116, loss: 0.2116 +2025-07-02 10:31:21,056 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1502, loss: 0.1502 +2025-07-02 10:31:39,108 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:16:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9956, loss_cls: 0.1779, loss: 0.1779 +2025-07-02 10:31:57,803 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:16:15, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.1816, loss: 0.1816 +2025-07-02 10:32:15,697 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:56, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9994, loss_cls: 0.2205, loss: 0.2205 +2025-07-02 10:32:33,714 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:15:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9962, loss_cls: 0.2028, loss: 0.2028 +2025-07-02 10:32:52,165 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:15:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2053, loss: 0.2053 +2025-07-02 10:33:10,322 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 10:33:46,873 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:33:46,897 - pyskl - INFO - +top1_acc 0.9617 +top5_acc 0.9957 +2025-07-02 10:33:46,898 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9617, top5_acc: 0.9957 +2025-07-02 10:34:29,592 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:14:44, time: 0.427, data_time: 0.240, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9969, loss_cls: 0.1764, loss: 0.1764 +2025-07-02 10:34:47,817 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:14:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9962, loss_cls: 0.1727, loss: 0.1727 +2025-07-02 10:35:05,551 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:14:05, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1950, loss: 0.1950 +2025-07-02 10:35:23,479 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:46, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1861, loss: 0.1861 +2025-07-02 10:35:42,157 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:13:27, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1732, loss: 0.1732 +2025-07-02 10:36:00,271 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:13:08, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 1.0000, loss_cls: 0.1838, loss: 0.1838 +2025-07-02 10:36:18,526 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:49, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9969, loss_cls: 0.2203, loss: 0.2203 +2025-07-02 10:36:36,452 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:12:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9975, loss_cls: 0.1967, loss: 0.1967 +2025-07-02 10:36:54,827 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 10:37:32,724 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:37:32,750 - pyskl - INFO - +top1_acc 0.9620 +top5_acc 0.9957 +2025-07-02 10:37:32,751 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9620, top5_acc: 0.9957 +2025-07-02 10:38:15,396 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:55, time: 0.426, data_time: 0.240, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1759, loss: 0.1759 +2025-07-02 10:38:33,621 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:11:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2008, loss: 0.2008 +2025-07-02 10:38:51,504 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:11:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9988, loss_cls: 0.1814, loss: 0.1814 +2025-07-02 10:39:09,684 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2124, loss: 0.2124 +2025-07-02 10:39:27,829 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:10:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1874, loss: 0.1874 +2025-07-02 10:39:46,302 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:10:20, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1800, loss: 0.1800 +2025-07-02 10:40:04,482 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:10:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9944, loss_cls: 0.1958, loss: 0.1958 +2025-07-02 10:40:22,617 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:09:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1938, loss: 0.1938 +2025-07-02 10:40:41,165 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 10:41:18,023 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:41:18,052 - pyskl - INFO - +top1_acc 0.9683 +top5_acc 0.9968 +2025-07-02 10:41:18,053 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9683, top5_acc: 0.9968 +2025-07-02 10:42:00,774 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:09:07, time: 0.427, data_time: 0.239, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1862, loss: 0.1862 +2025-07-02 10:42:19,259 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1807, loss: 0.1807 +2025-07-02 10:42:37,592 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:08:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1815, loss: 0.1815 +2025-07-02 10:42:55,964 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:08:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1649, loss: 0.1649 +2025-07-02 10:43:14,093 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1660, loss: 0.1660 +2025-07-02 10:43:32,328 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:07:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1630, loss: 0.1630 +2025-07-02 10:43:50,615 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:07:13, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1355, loss: 0.1355 +2025-07-02 10:44:09,091 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:54, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9981, loss_cls: 0.1640, loss: 0.1640 +2025-07-02 10:44:27,658 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 10:45:04,688 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:45:04,711 - pyskl - INFO - +top1_acc 0.9626 +top5_acc 0.9967 +2025-07-02 10:45:04,712 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9626, top5_acc: 0.9967 +2025-07-02 10:45:47,505 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:06:19, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 10:46:06,209 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:06:00, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9981, loss_cls: 0.1748, loss: 0.1748 +2025-07-02 10:46:24,500 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:05:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1220, loss: 0.1220 +2025-07-02 10:46:42,623 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:05:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9975, loss_cls: 0.1433, loss: 0.1433 +2025-07-02 10:47:00,317 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:05:03, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9956, loss_cls: 0.1805, loss: 0.1805 +2025-07-02 10:47:18,463 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9956, loss_cls: 0.2110, loss: 0.2110 +2025-07-02 10:47:36,645 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:04:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1572, loss: 0.1572 +2025-07-02 10:47:54,697 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:04:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9950, loss_cls: 0.1883, loss: 0.1883 +2025-07-02 10:48:12,870 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 10:48:49,964 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:48:49,988 - pyskl - INFO - +top1_acc 0.9676 +top5_acc 0.9965 +2025-07-02 10:48:49,989 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9676, top5_acc: 0.9965 +2025-07-02 10:49:33,209 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:03:31, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1467, loss: 0.1467 +2025-07-02 10:49:51,373 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:03:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9962, loss_cls: 0.1891, loss: 0.1891 +2025-07-02 10:50:09,356 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1667, loss: 0.1667 +2025-07-02 10:50:27,186 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:02:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1610, loss: 0.1610 +2025-07-02 10:50:45,321 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:02:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1556, loss: 0.1556 +2025-07-02 10:51:03,374 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1566, loss: 0.1566 +2025-07-02 10:51:21,723 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:01:36, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9969, loss_cls: 0.1685, loss: 0.1685 +2025-07-02 10:51:40,193 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:01:17, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 10:51:58,709 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 10:52:35,763 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:52:35,792 - pyskl - INFO - +top1_acc 0.9637 +top5_acc 0.9955 +2025-07-02 10:52:35,794 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9637, top5_acc: 0.9955 +2025-07-02 10:53:18,628 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:42, time: 0.428, data_time: 0.241, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2251, loss: 0.2251 +2025-07-02 10:53:37,005 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 2:00:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1789, loss: 0.1789 +2025-07-02 10:53:55,041 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 2:00:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1498, loss: 0.1498 +2025-07-02 10:54:13,041 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:45, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9994, loss_cls: 0.1396, loss: 0.1396 +2025-07-02 10:54:31,284 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:59:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1420, loss: 0.1420 +2025-07-02 10:54:49,226 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:59:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1704, loss: 0.1704 +2025-07-02 10:55:07,629 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1448, loss: 0.1448 +2025-07-02 10:55:25,508 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:58:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9663, top5_acc: 0.9994, loss_cls: 0.1795, loss: 0.1795 +2025-07-02 10:55:44,044 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 10:56:21,461 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:56:21,484 - pyskl - INFO - +top1_acc 0.9660 +top5_acc 0.9961 +2025-07-02 10:56:21,485 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9660, top5_acc: 0.9961 +2025-07-02 10:57:04,520 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:54, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1937, loss: 0.1937 +2025-07-02 10:57:22,686 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:57:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1761, loss: 0.1761 +2025-07-02 10:57:40,981 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:57:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.1300, loss: 0.1300 +2025-07-02 10:57:59,154 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1332, loss: 0.1332 +2025-07-02 10:58:17,216 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:56:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 1.0000, loss_cls: 0.1378, loss: 0.1378 +2025-07-02 10:58:35,230 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:56:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1521, loss: 0.1521 +2025-07-02 10:58:53,776 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:59, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1206, loss: 0.1206 +2025-07-02 10:59:12,144 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9969, loss_cls: 0.1725, loss: 0.1725 +2025-07-02 10:59:30,618 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 11:00:07,722 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:00:07,753 - pyskl - INFO - +top1_acc 0.9663 +top5_acc 0.9964 +2025-07-02 11:00:07,754 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9663, top5_acc: 0.9964 +2025-07-02 11:00:51,183 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:55:06, time: 0.434, data_time: 0.247, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9981, loss_cls: 0.1397, loss: 0.1397 +2025-07-02 11:01:09,482 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9975, loss_cls: 0.1467, loss: 0.1467 +2025-07-02 11:01:27,892 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:54:28, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9962, loss_cls: 0.2092, loss: 0.2092 +2025-07-02 11:01:46,043 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:54:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9988, loss_cls: 0.1467, loss: 0.1467 +2025-07-02 11:02:04,437 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:50, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9975, loss_cls: 0.1570, loss: 0.1570 +2025-07-02 11:02:22,264 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:53:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9975, loss_cls: 0.1654, loss: 0.1654 +2025-07-02 11:02:40,791 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:53:12, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9969, loss_cls: 0.1809, loss: 0.1809 +2025-07-02 11:02:58,663 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1171, loss: 0.1171 +2025-07-02 11:03:17,424 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 11:03:54,861 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:03:54,885 - pyskl - INFO - +top1_acc 0.9687 +top5_acc 0.9967 +2025-07-02 11:03:54,886 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9687, top5_acc: 0.9967 +2025-07-02 11:04:39,134 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:52:18, time: 0.442, data_time: 0.253, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1711, loss: 0.1711 +2025-07-02 11:04:57,540 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1559, loss: 0.1559 +2025-07-02 11:05:15,526 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1514, loss: 0.1514 +2025-07-02 11:05:33,796 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:51:21, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1462, loss: 0.1462 +2025-07-02 11:05:52,191 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:51:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1288, loss: 0.1288 +2025-07-02 11:06:10,003 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9975, loss_cls: 0.1589, loss: 0.1589 +2025-07-02 11:06:28,548 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:50:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9962, loss_cls: 0.1579, loss: 0.1579 +2025-07-02 11:06:46,540 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:50:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9994, loss_cls: 0.1593, loss: 0.1593 +2025-07-02 11:07:05,186 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 11:07:42,574 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:07:42,597 - pyskl - INFO - +top1_acc 0.9718 +top5_acc 0.9969 +2025-07-02 11:07:42,601 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_98.pth was removed +2025-07-02 11:07:42,796 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 11:07:42,796 - pyskl - INFO - Best top1_acc is 0.9718 at 111 epoch. +2025-07-02 11:07:42,798 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9718, top5_acc: 0.9969 +2025-07-02 11:08:25,685 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:49:29, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9969, loss_cls: 0.1541, loss: 0.1541 +2025-07-02 11:08:43,910 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:49:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9956, loss_cls: 0.1600, loss: 0.1600 +2025-07-02 11:09:01,897 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1186, loss: 0.1186 +2025-07-02 11:09:20,300 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:48:32, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9975, loss_cls: 0.1083, loss: 0.1083 +2025-07-02 11:09:38,681 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:48:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1253, loss: 0.1253 +2025-07-02 11:09:56,773 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1398, loss: 0.1398 +2025-07-02 11:10:15,163 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:47:35, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1171, loss: 0.1171 +2025-07-02 11:10:33,380 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:47:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9981, loss_cls: 0.1747, loss: 0.1747 +2025-07-02 11:10:52,200 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 11:11:28,458 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:11:28,489 - pyskl - INFO - +top1_acc 0.9733 +top5_acc 0.9968 +2025-07-02 11:11:28,496 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_111.pth was removed +2025-07-02 11:11:28,737 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2025-07-02 11:11:28,737 - pyskl - INFO - Best top1_acc is 0.9733 at 112 epoch. +2025-07-02 11:11:28,739 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9733, top5_acc: 0.9968 +2025-07-02 11:12:11,646 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:41, time: 0.429, data_time: 0.242, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1203, loss: 0.1203 +2025-07-02 11:12:29,650 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:46:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.1114, loss: 0.1114 +2025-07-02 11:12:47,794 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:46:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.1125, loss: 0.1125 +2025-07-02 11:13:05,900 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1091, loss: 0.1091 +2025-07-02 11:13:24,333 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:45:25, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1108, loss: 0.1108 +2025-07-02 11:13:42,260 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:45:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9962, loss_cls: 0.1436, loss: 0.1436 +2025-07-02 11:14:00,610 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1381, loss: 0.1381 +2025-07-02 11:14:18,674 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:44:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 11:14:37,389 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 11:15:14,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:15:14,349 - pyskl - INFO - +top1_acc 0.9712 +top5_acc 0.9962 +2025-07-02 11:15:14,350 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9712, top5_acc: 0.9962 +2025-07-02 11:15:56,981 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:52, time: 0.426, data_time: 0.238, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1157, loss: 0.1157 +2025-07-02 11:16:15,525 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:43:33, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1575, loss: 0.1575 +2025-07-02 11:16:33,897 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:43:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1065, loss: 0.1065 +2025-07-02 11:16:52,007 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9969, loss_cls: 0.1058, loss: 0.1058 +2025-07-02 11:17:10,119 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1338, loss: 0.1338 +2025-07-02 11:17:27,816 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:42:17, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 1.0000, loss_cls: 0.1272, loss: 0.1272 +2025-07-02 11:17:46,222 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:58, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.1124, loss: 0.1124 +2025-07-02 11:18:04,152 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1167, loss: 0.1167 +2025-07-02 11:18:22,867 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 11:19:00,547 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:19:00,575 - pyskl - INFO - +top1_acc 0.9723 +top5_acc 0.9964 +2025-07-02 11:19:00,577 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9723, top5_acc: 0.9964 +2025-07-02 11:19:43,158 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:41:03, time: 0.426, data_time: 0.237, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9994, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 11:20:01,233 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1314, loss: 0.1314 +2025-07-02 11:20:19,427 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:40:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1001, loss: 0.1001 +2025-07-02 11:20:37,354 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:40:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1037, loss: 0.1037 +2025-07-02 11:20:55,901 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:47, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9975, loss_cls: 0.1265, loss: 0.1265 +2025-07-02 11:21:14,116 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:39:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1103, loss: 0.1103 +2025-07-02 11:21:32,416 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:39:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1339, loss: 0.1339 +2025-07-02 11:21:50,697 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1436, loss: 0.1436 +2025-07-02 11:22:09,111 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 11:22:45,508 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:22:45,531 - pyskl - INFO - +top1_acc 0.9758 +top5_acc 0.9967 +2025-07-02 11:22:45,535 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_112.pth was removed +2025-07-02 11:22:45,733 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_115.pth. +2025-07-02 11:22:45,733 - pyskl - INFO - Best top1_acc is 0.9758 at 115 epoch. +2025-07-02 11:22:45,735 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9758, top5_acc: 0.9967 +2025-07-02 11:23:27,892 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:38:15, time: 0.422, data_time: 0.234, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9969, loss_cls: 0.1221, loss: 0.1221 +2025-07-02 11:23:46,060 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1012, loss: 0.1012 +2025-07-02 11:24:04,179 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.1003, loss: 0.1003 +2025-07-02 11:24:22,705 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:37:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0885, loss: 0.0885 +2025-07-02 11:24:41,449 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:59, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9969, loss_cls: 0.1016, loss: 0.1016 +2025-07-02 11:24:59,204 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9969, loss_cls: 0.1274, loss: 0.1274 +2025-07-02 11:25:17,577 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:36:21, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1211, loss: 0.1211 +2025-07-02 11:25:35,995 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:36:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 0.1031, loss: 0.1031 +2025-07-02 11:25:54,319 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 11:26:31,370 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:26:31,398 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9962 +2025-07-02 11:26:31,399 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9726, top5_acc: 0.9962 +2025-07-02 11:27:13,720 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:35:26, time: 0.423, data_time: 0.237, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.1129, loss: 0.1129 +2025-07-02 11:27:32,012 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:35:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 11:27:50,182 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0835, loss: 0.0835 +2025-07-02 11:28:08,502 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:34:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1100, loss: 0.1100 +2025-07-02 11:28:26,692 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:34:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 1.0000, loss_cls: 0.1206, loss: 0.1206 +2025-07-02 11:28:44,782 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0998, loss: 0.0998 +2025-07-02 11:29:03,402 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:32, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1097, loss: 0.1097 +2025-07-02 11:29:21,401 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:33:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 11:29:39,797 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 11:30:16,095 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:30:16,124 - pyskl - INFO - +top1_acc 0.9693 +top5_acc 0.9968 +2025-07-02 11:30:16,125 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9693, top5_acc: 0.9968 +2025-07-02 11:30:59,496 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:38, time: 0.434, data_time: 0.245, memory: 2903, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1437, loss: 0.1437 +2025-07-02 11:31:17,649 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:32:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1021, loss: 0.1021 +2025-07-02 11:31:35,636 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:32:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1045, loss: 0.1045 +2025-07-02 11:31:53,790 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0960, loss: 0.0960 +2025-07-02 11:32:11,702 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:31:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.1054, loss: 0.1054 +2025-07-02 11:32:29,756 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:31:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0976, loss: 0.0976 +2025-07-02 11:32:47,796 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1040, loss: 0.1040 +2025-07-02 11:33:06,095 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:30:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0954, loss: 0.0954 +2025-07-02 11:33:24,673 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 11:34:01,759 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:34:01,791 - pyskl - INFO - +top1_acc 0.9723 +top5_acc 0.9965 +2025-07-02 11:34:01,792 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9723, top5_acc: 0.9965 +2025-07-02 11:34:45,129 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:49, time: 0.433, data_time: 0.246, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0926, loss: 0.0926 +2025-07-02 11:35:03,291 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9975, loss_cls: 0.1022, loss: 0.1022 +2025-07-02 11:35:21,512 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:29:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.0872, loss: 0.0872 +2025-07-02 11:35:39,338 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1026, loss: 0.1026 +2025-07-02 11:35:57,152 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.1242, loss: 0.1242 +2025-07-02 11:36:15,199 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:28:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1077, loss: 0.1077 +2025-07-02 11:36:33,795 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:55, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9975, loss_cls: 0.0890, loss: 0.0890 +2025-07-02 11:36:52,342 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9988, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 11:37:10,994 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 11:37:47,573 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:37:47,602 - pyskl - INFO - +top1_acc 0.9715 +top5_acc 0.9965 +2025-07-02 11:37:47,603 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9715, top5_acc: 0.9965 +2025-07-02 11:38:30,434 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:27:00, time: 0.428, data_time: 0.243, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.1044, loss: 0.1044 +2025-07-02 11:38:48,479 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1050, loss: 0.1050 +2025-07-02 11:39:06,946 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:26:22, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 11:39:25,045 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:26:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0745, loss: 0.0745 +2025-07-02 11:39:43,156 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.0990, loss: 0.0990 +2025-07-02 11:40:01,410 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:25:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9975, loss_cls: 0.0757, loss: 0.0757 +2025-07-02 11:40:19,778 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:25:06, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9988, loss_cls: 0.1095, loss: 0.1095 +2025-07-02 11:40:37,515 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:47, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9975, loss_cls: 0.0981, loss: 0.0981 +2025-07-02 11:40:56,086 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 11:41:33,472 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:41:33,495 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9965 +2025-07-02 11:41:33,496 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9726, top5_acc: 0.9965 +2025-07-02 11:42:17,065 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:24:12, time: 0.436, data_time: 0.248, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0841, loss: 0.0841 +2025-07-02 11:42:35,457 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9962, loss_cls: 0.0907, loss: 0.0907 +2025-07-02 11:42:53,757 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0771, loss: 0.0771 +2025-07-02 11:43:11,751 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:23:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0893, loss: 0.0893 +2025-07-02 11:43:29,879 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 11:43:48,035 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0917, loss: 0.0917 +2025-07-02 11:44:06,378 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:22:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1028, loss: 0.1028 +2025-07-02 11:44:24,492 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0995, loss: 0.0995 +2025-07-02 11:44:43,049 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 11:45:20,593 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:45:20,622 - pyskl - INFO - +top1_acc 0.9768 +top5_acc 0.9971 +2025-07-02 11:45:20,627 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_115.pth was removed +2025-07-02 11:45:20,842 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 11:45:20,842 - pyskl - INFO - Best top1_acc is 0.9768 at 121 epoch. +2025-07-02 11:45:20,844 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9768, top5_acc: 0.9971 +2025-07-02 11:46:04,644 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:21:23, time: 0.438, data_time: 0.253, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9981, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 11:46:23,002 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:21:04, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9962, loss_cls: 0.1066, loss: 0.1066 +2025-07-02 11:46:40,920 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0909, loss: 0.0909 +2025-07-02 11:46:58,988 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.0982, loss: 0.0982 +2025-07-02 11:47:17,088 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:20:07, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9988, loss_cls: 0.1019, loss: 0.1019 +2025-07-02 11:47:35,307 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1010, loss: 0.1010 +2025-07-02 11:47:53,561 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9981, loss_cls: 0.0800, loss: 0.0800 +2025-07-02 11:48:11,750 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:19:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9975, loss_cls: 0.1023, loss: 0.1023 +2025-07-02 11:48:30,483 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 11:49:07,916 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:49:07,940 - pyskl - INFO - +top1_acc 0.9687 +top5_acc 0.9968 +2025-07-02 11:49:07,941 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9687, top5_acc: 0.9968 +2025-07-02 11:49:51,065 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:34, time: 0.431, data_time: 0.241, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9975, loss_cls: 0.0976, loss: 0.0976 +2025-07-02 11:50:09,706 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:18:15, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.1008, loss: 0.1008 +2025-07-02 11:50:28,041 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0968, loss: 0.0968 +2025-07-02 11:50:46,645 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:38, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0794, loss: 0.0794 +2025-07-02 11:51:04,841 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:17:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9975, loss_cls: 0.0956, loss: 0.0956 +2025-07-02 11:51:22,801 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:17:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0917, loss: 0.0917 +2025-07-02 11:51:40,738 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0806, loss: 0.0806 +2025-07-02 11:51:59,108 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:16:22, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.0927, loss: 0.0927 +2025-07-02 11:52:17,700 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 11:52:55,366 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:52:55,389 - pyskl - INFO - +top1_acc 0.9730 +top5_acc 0.9967 +2025-07-02 11:52:55,390 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9730, top5_acc: 0.9967 +2025-07-02 11:53:38,902 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:46, time: 0.435, data_time: 0.249, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0787, loss: 0.0787 +2025-07-02 11:53:57,265 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0927, loss: 0.0927 +2025-07-02 11:54:15,517 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:15:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.0935, loss: 0.0935 +2025-07-02 11:54:34,111 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:49, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 11:54:52,611 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:30, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0728, loss: 0.0728 +2025-07-02 11:55:10,608 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:14:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 11:55:28,793 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9994, loss_cls: 0.0882, loss: 0.0882 +2025-07-02 11:55:47,170 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.1075, loss: 0.1075 +2025-07-02 11:56:05,798 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 11:56:43,114 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:56:43,140 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9965 +2025-07-02 11:56:43,141 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9750, top5_acc: 0.9965 +2025-07-02 11:57:27,776 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:58, time: 0.446, data_time: 0.260, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9981, loss_cls: 0.0820, loss: 0.0820 +2025-07-02 11:57:46,355 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:39, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9969, loss_cls: 0.0971, loss: 0.0971 +2025-07-02 11:58:04,767 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:12:20, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 11:58:22,720 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:12:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0648, loss: 0.0648 +2025-07-02 11:58:40,812 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9975, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 11:58:59,061 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:11:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0773, loss: 0.0773 +2025-07-02 11:59:17,061 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:11:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.0916, loss: 0.0916 +2025-07-02 11:59:35,278 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0662, loss: 0.0662 +2025-07-02 11:59:54,179 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 12:00:31,298 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:00:31,326 - pyskl - INFO - +top1_acc 0.9766 +top5_acc 0.9967 +2025-07-02 12:00:31,327 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9766, top5_acc: 0.9967 +2025-07-02 12:01:14,985 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:10:09, time: 0.437, data_time: 0.249, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.0925, loss: 0.0925 +2025-07-02 12:01:33,183 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 12:01:51,600 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0879, loss: 0.0879 +2025-07-02 12:02:09,700 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:09:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 12:02:28,126 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 12:02:46,527 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 12:03:04,438 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:08:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0768, loss: 0.0768 +2025-07-02 12:03:22,421 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0641, loss: 0.0641 +2025-07-02 12:03:40,831 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 12:04:18,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:04:18,428 - pyskl - INFO - +top1_acc 0.9759 +top5_acc 0.9967 +2025-07-02 12:04:18,430 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9759, top5_acc: 0.9967 +2025-07-02 12:05:01,598 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:07:20, time: 0.432, data_time: 0.247, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0665, loss: 0.0665 +2025-07-02 12:05:19,560 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:07:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0746, loss: 0.0746 +2025-07-02 12:05:37,410 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0712, loss: 0.0712 +2025-07-02 12:05:55,440 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0827, loss: 0.0827 +2025-07-02 12:06:13,455 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:06:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0685, loss: 0.0685 +2025-07-02 12:06:32,084 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:45, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0744, loss: 0.0744 +2025-07-02 12:06:50,317 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0674, loss: 0.0674 +2025-07-02 12:07:08,966 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:05:07, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 12:07:27,514 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 12:08:04,840 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:08:04,866 - pyskl - INFO - +top1_acc 0.9747 +top5_acc 0.9962 +2025-07-02 12:08:04,867 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9747, top5_acc: 0.9962 +2025-07-02 12:08:47,701 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:31, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0566, loss: 0.0566 +2025-07-02 12:09:06,077 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:04:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0393, loss: 0.0393 +2025-07-02 12:09:24,318 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0524, loss: 0.0524 +2025-07-02 12:09:43,051 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:34, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9969, loss_cls: 0.0910, loss: 0.0910 +2025-07-02 12:10:01,592 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:03:15, time: 0.185, data_time: 0.001, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0562, loss: 0.0562 +2025-07-02 12:10:19,821 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0695, loss: 0.0695 +2025-07-02 12:10:38,055 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0722, loss: 0.0722 +2025-07-02 12:10:56,556 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:02:19, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0555, loss: 0.0555 +2025-07-02 12:11:15,389 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 12:11:53,301 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:11:53,325 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9965 +2025-07-02 12:11:53,326 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9752, top5_acc: 0.9965 +2025-07-02 12:12:36,865 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:42, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9969, loss_cls: 0.0728, loss: 0.0728 +2025-07-02 12:12:54,769 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 12:13:13,051 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:01:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0472, loss: 0.0472 +2025-07-02 12:13:31,275 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0565, loss: 0.0565 +2025-07-02 12:13:49,657 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 12:14:08,113 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 1:00:08, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0672, loss: 0.0672 +2025-07-02 12:14:26,296 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0624, loss: 0.0624 +2025-07-02 12:14:44,400 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9981, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 12:15:03,077 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 12:15:40,121 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:15:40,143 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9967 +2025-07-02 12:15:40,144 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9754, top5_acc: 0.9967 +2025-07-02 12:16:23,104 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:53, time: 0.430, data_time: 0.244, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0698, loss: 0.0698 +2025-07-02 12:16:41,361 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0737, loss: 0.0737 +2025-07-02 12:16:59,559 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:58:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0666, loss: 0.0666 +2025-07-02 12:17:17,517 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 12:17:35,809 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:38, time: 0.183, data_time: 0.001, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0708, loss: 0.0708 +2025-07-02 12:17:53,717 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:57:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0539, loss: 0.0539 +2025-07-02 12:18:11,626 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:57:00, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 12:18:29,737 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0653, loss: 0.0653 +2025-07-02 12:18:48,360 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 12:19:26,703 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:19:26,727 - pyskl - INFO - +top1_acc 0.9752 +top5_acc 0.9967 +2025-07-02 12:19:26,728 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9752, top5_acc: 0.9967 +2025-07-02 12:20:09,626 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:56:04, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9975, loss_cls: 0.0846, loss: 0.0846 +2025-07-02 12:20:27,894 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0632, loss: 0.0632 +2025-07-02 12:20:46,340 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0540, loss: 0.0540 +2025-07-02 12:21:04,232 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:55:08, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0494, loss: 0.0494 +2025-07-02 12:21:22,095 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:49, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9981, loss_cls: 0.0730, loss: 0.0730 +2025-07-02 12:21:40,333 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9981, loss_cls: 0.0735, loss: 0.0735 +2025-07-02 12:21:58,515 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:54:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0630, loss: 0.0630 +2025-07-02 12:22:16,974 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:52, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0481, loss: 0.0481 +2025-07-02 12:22:36,005 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 12:23:13,576 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:23:13,600 - pyskl - INFO - +top1_acc 0.9754 +top5_acc 0.9968 +2025-07-02 12:23:13,601 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9754, top5_acc: 0.9968 +2025-07-02 12:23:56,456 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:53:15, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0683, loss: 0.0683 +2025-07-02 12:24:14,933 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0519, loss: 0.0519 +2025-07-02 12:24:33,191 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 12:24:51,194 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9988, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 12:25:09,560 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:52:00, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 12:25:27,785 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0638, loss: 0.0638 +2025-07-02 12:25:45,865 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:22, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0510, loss: 0.0510 +2025-07-02 12:26:04,149 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:51:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 12:26:22,904 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 12:27:00,362 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:27:00,397 - pyskl - INFO - +top1_acc 0.9750 +top5_acc 0.9968 +2025-07-02 12:27:00,399 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9750, top5_acc: 0.9968 +2025-07-02 12:27:43,618 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:26, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0522, loss: 0.0522 +2025-07-02 12:28:01,870 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:50:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 12:28:20,112 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:49, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0518, loss: 0.0518 +2025-07-02 12:28:38,687 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:30, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0577, loss: 0.0577 +2025-07-02 12:28:57,194 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:49:11, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0578, loss: 0.0578 +2025-07-02 12:29:15,264 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0598, loss: 0.0598 +2025-07-02 12:29:33,276 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0463, loss: 0.0463 +2025-07-02 12:29:51,481 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:48:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 12:30:10,020 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 12:30:46,872 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:30:46,895 - pyskl - INFO - +top1_acc 0.9772 +top5_acc 0.9967 +2025-07-02 12:30:46,900 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_121.pth was removed +2025-07-02 12:30:47,107 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_133.pth. +2025-07-02 12:30:47,107 - pyskl - INFO - Best top1_acc is 0.9772 at 133 epoch. +2025-07-02 12:30:47,109 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9772, top5_acc: 0.9967 +2025-07-02 12:31:29,970 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:37, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9981, loss_cls: 0.0576, loss: 0.0576 +2025-07-02 12:31:48,333 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:18, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0660, loss: 0.0660 +2025-07-02 12:32:06,965 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:47:00, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 12:32:25,331 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:41, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0499, loss: 0.0499 +2025-07-02 12:32:43,839 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:22, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0633, loss: 0.0633 +2025-07-02 12:33:02,017 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:46:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 12:33:20,112 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 12:33:38,257 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0547, loss: 0.0547 +2025-07-02 12:33:56,879 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 12:34:34,575 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:34:34,607 - pyskl - INFO - +top1_acc 0.9776 +top5_acc 0.9972 +2025-07-02 12:34:34,617 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_133.pth was removed +2025-07-02 12:34:34,827 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 12:34:34,828 - pyskl - INFO - Best top1_acc is 0.9776 at 134 epoch. +2025-07-02 12:34:34,829 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9776, top5_acc: 0.9972 +2025-07-02 12:35:18,085 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:48, time: 0.433, data_time: 0.243, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 12:35:36,593 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:30, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0573, loss: 0.0573 +2025-07-02 12:35:54,897 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:44:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 12:36:13,126 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9975, loss_cls: 0.0677, loss: 0.0677 +2025-07-02 12:36:31,307 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 12:36:49,334 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:43:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0599, loss: 0.0599 +2025-07-02 12:37:07,753 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0425, loss: 0.0425 +2025-07-02 12:37:26,232 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0465, loss: 0.0465 +2025-07-02 12:37:45,343 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 12:38:22,247 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:38:22,275 - pyskl - INFO - +top1_acc 0.9765 +top5_acc 0.9969 +2025-07-02 12:38:22,276 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9765, top5_acc: 0.9969 +2025-07-02 12:39:05,345 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:59, time: 0.431, data_time: 0.246, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 12:39:23,615 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0544, loss: 0.0544 +2025-07-02 12:39:41,477 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:22, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 12:39:59,744 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:41:03, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9969, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 12:40:18,125 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:44, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 12:40:36,289 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:25, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 12:40:54,436 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:40:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0427, loss: 0.0427 +2025-07-02 12:41:12,767 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0495, loss: 0.0495 +2025-07-02 12:41:31,600 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 12:42:08,851 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:42:08,874 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9971 +2025-07-02 12:42:08,875 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9773, top5_acc: 0.9971 +2025-07-02 12:42:52,507 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:39:10, time: 0.436, data_time: 0.247, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0610, loss: 0.0610 +2025-07-02 12:43:11,085 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:51, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0437, loss: 0.0437 +2025-07-02 12:43:29,177 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0584, loss: 0.0584 +2025-07-02 12:43:47,526 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:38:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 12:44:05,824 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0528, loss: 0.0528 +2025-07-02 12:44:23,956 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 12:44:42,269 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0447, loss: 0.0447 +2025-07-02 12:45:00,744 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:58, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0470, loss: 0.0470 +2025-07-02 12:45:19,264 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 12:45:56,673 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:45:56,702 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9971 +2025-07-02 12:45:56,706 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_134.pth was removed +2025-07-02 12:45:56,943 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2025-07-02 12:45:56,943 - pyskl - INFO - Best top1_acc is 0.9779 at 137 epoch. +2025-07-02 12:45:56,945 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9779, top5_acc: 0.9971 +2025-07-02 12:46:39,528 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:21, time: 0.426, data_time: 0.237, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 12:46:57,896 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:36:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 12:47:16,053 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0462, loss: 0.0462 +2025-07-02 12:47:34,019 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9988, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 12:47:52,248 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:35:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0572, loss: 0.0572 +2025-07-02 12:48:10,534 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0397, loss: 0.0397 +2025-07-02 12:48:28,829 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0259, loss: 0.0259 +2025-07-02 12:48:46,988 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:34:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0553, loss: 0.0553 +2025-07-02 12:49:05,934 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 12:49:42,793 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:49:42,816 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9972 +2025-07-02 12:49:42,821 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_137.pth was removed +2025-07-02 12:49:43,003 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-07-02 12:49:43,003 - pyskl - INFO - Best top1_acc is 0.9784 at 138 epoch. +2025-07-02 12:49:43,005 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9784, top5_acc: 0.9972 +2025-07-02 12:50:26,651 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:32, time: 0.436, data_time: 0.248, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0521, loss: 0.0521 +2025-07-02 12:50:45,329 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:13, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 12:51:03,327 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 12:51:21,532 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0381, loss: 0.0381 +2025-07-02 12:51:39,914 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:16, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 12:51:57,978 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 12:52:16,339 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:39, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0373, loss: 0.0373 +2025-07-02 12:52:34,453 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 12:52:53,438 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 12:53:30,844 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:53:30,872 - pyskl - INFO - +top1_acc 0.9772 +top5_acc 0.9972 +2025-07-02 12:53:30,873 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9772, top5_acc: 0.9972 +2025-07-02 12:54:14,844 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:43, time: 0.440, data_time: 0.248, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0603, loss: 0.0603 +2025-07-02 12:54:33,376 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:24, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0468, loss: 0.0468 +2025-07-02 12:54:51,794 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:30:05, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0478, loss: 0.0478 +2025-07-02 12:55:10,177 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 12:55:28,698 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:27, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 12:55:47,211 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:29:09, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0475, loss: 0.0475 +2025-07-02 12:56:05,316 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9981, loss_cls: 0.0440, loss: 0.0440 +2025-07-02 12:56:23,848 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:31, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 12:56:42,739 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 12:57:20,746 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:57:20,775 - pyskl - INFO - +top1_acc 0.9784 +top5_acc 0.9971 +2025-07-02 12:57:20,776 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9784, top5_acc: 0.9971 +2025-07-02 12:58:03,436 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:54, time: 0.427, data_time: 0.240, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0467, loss: 0.0467 +2025-07-02 12:58:21,512 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 12:58:39,626 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 12:58:57,482 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9975, loss_cls: 0.0534, loss: 0.0534 +2025-07-02 12:59:15,998 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:38, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0387, loss: 0.0387 +2025-07-02 12:59:33,884 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0538, loss: 0.0538 +2025-07-02 12:59:51,637 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:26:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9975, loss_cls: 0.0476, loss: 0.0476 +2025-07-02 13:00:09,743 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 13:00:28,582 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 13:01:05,765 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:01:05,795 - pyskl - INFO - +top1_acc 0.9775 +top5_acc 0.9971 +2025-07-02 13:01:05,798 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9775, top5_acc: 0.9971 +2025-07-02 13:01:50,067 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:25:05, time: 0.443, data_time: 0.254, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0434, loss: 0.0434 +2025-07-02 13:02:08,284 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0479, loss: 0.0479 +2025-07-02 13:02:26,268 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 13:02:44,942 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:24:08, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0458, loss: 0.0458 +2025-07-02 13:03:03,444 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:49, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 13:03:21,305 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 13:03:39,604 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9981, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 13:03:57,949 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0579, loss: 0.0579 +2025-07-02 13:04:17,172 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 13:04:55,316 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:04:55,348 - pyskl - INFO - +top1_acc 0.9780 +top5_acc 0.9972 +2025-07-02 13:04:55,350 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9780, top5_acc: 0.9972 +2025-07-02 13:05:38,556 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:15, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0342, loss: 0.0342 +2025-07-02 13:05:56,569 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0558, loss: 0.0558 +2025-07-02 13:06:14,876 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0299, loss: 0.0299 +2025-07-02 13:06:33,162 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9981, loss_cls: 0.0413, loss: 0.0413 +2025-07-02 13:06:51,254 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:21:00, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 13:07:09,263 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 13:07:27,866 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:22, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0375, loss: 0.0375 +2025-07-02 13:07:46,637 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:20:03, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9988, loss_cls: 0.0506, loss: 0.0506 +2025-07-02 13:08:05,204 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 13:08:42,696 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:08:42,723 - pyskl - INFO - +top1_acc 0.9773 +top5_acc 0.9968 +2025-07-02 13:08:42,725 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9773, top5_acc: 0.9968 +2025-07-02 13:09:26,365 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:26, time: 0.436, data_time: 0.250, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 13:09:44,234 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 13:10:02,562 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 13:10:20,609 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 13:10:38,456 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:11, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 13:10:56,669 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0536, loss: 0.0536 +2025-07-02 13:11:14,988 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 13:11:33,690 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:14, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0498, loss: 0.0498 +2025-07-02 13:11:52,441 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 13:12:29,690 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:12:29,712 - pyskl - INFO - +top1_acc 0.9777 +top5_acc 0.9969 +2025-07-02 13:12:29,713 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9777, top5_acc: 0.9969 +2025-07-02 13:13:13,212 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:37, time: 0.435, data_time: 0.247, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 13:13:31,282 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0356, loss: 0.0356 +2025-07-02 13:13:49,408 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0249, loss: 0.0249 +2025-07-02 13:14:07,687 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:40, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0426, loss: 0.0426 +2025-07-02 13:14:26,248 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:21, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0420, loss: 0.0420 +2025-07-02 13:14:44,222 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:15:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0454, loss: 0.0454 +2025-07-02 13:15:02,756 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:44, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0331, loss: 0.0331 +2025-07-02 13:15:20,866 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 13:15:39,766 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 13:16:17,225 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:16:17,254 - pyskl - INFO - +top1_acc 0.9793 +top5_acc 0.9969 +2025-07-02 13:16:17,258 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_138.pth was removed +2025-07-02 13:16:17,480 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. +2025-07-02 13:16:17,480 - pyskl - INFO - Best top1_acc is 0.9793 at 145 epoch. +2025-07-02 13:16:17,482 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9793, top5_acc: 0.9969 +2025-07-02 13:17:00,832 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:48, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 13:17:18,756 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:29, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 13:17:36,797 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 13:17:55,180 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:51, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0412, loss: 0.0412 +2025-07-02 13:18:13,126 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0422, loss: 0.0422 +2025-07-02 13:18:31,625 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:13, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 13:18:50,223 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:54, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0326, loss: 0.0326 +2025-07-02 13:19:08,859 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:35, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0308, loss: 0.0308 +2025-07-02 13:19:27,331 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 13:20:04,350 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:20:04,372 - pyskl - INFO - +top1_acc 0.9786 +top5_acc 0.9965 +2025-07-02 13:20:04,373 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9786, top5_acc: 0.9965 +2025-07-02 13:20:48,290 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:58, time: 0.439, data_time: 0.250, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 13:21:06,419 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0313, loss: 0.0313 +2025-07-02 13:21:25,206 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:20, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0388, loss: 0.0388 +2025-07-02 13:21:43,436 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:10:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9988, loss_cls: 0.0430, loss: 0.0430 +2025-07-02 13:22:01,268 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:43, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 13:22:19,365 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 13:22:37,988 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:05, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0310, loss: 0.0310 +2025-07-02 13:22:56,386 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:46, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0410, loss: 0.0410 +2025-07-02 13:23:15,051 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 13:23:53,246 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:23:53,274 - pyskl - INFO - +top1_acc 0.9790 +top5_acc 0.9968 +2025-07-02 13:23:53,276 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9790, top5_acc: 0.9968 +2025-07-02 13:24:36,544 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:09, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9988, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 13:24:54,385 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0502, loss: 0.0502 +2025-07-02 13:25:12,948 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:31, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0474, loss: 0.0474 +2025-07-02 13:25:31,098 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:12, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9975, loss_cls: 0.0451, loss: 0.0451 +2025-07-02 13:25:49,328 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0436, loss: 0.0436 +2025-07-02 13:26:07,759 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:34, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9988, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 13:26:26,412 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:16, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 13:26:44,817 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:57, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 13:27:03,267 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 13:27:39,796 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:27:39,826 - pyskl - INFO - +top1_acc 0.9789 +top5_acc 0.9968 +2025-07-02 13:27:39,827 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9789, top5_acc: 0.9968 +2025-07-02 13:28:24,039 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:19, time: 0.442, data_time: 0.258, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0284, loss: 0.0284 +2025-07-02 13:28:42,425 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:05:01, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0305, loss: 0.0305 +2025-07-02 13:29:00,689 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 13:29:19,030 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 13:29:36,973 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0399, loss: 0.0399 +2025-07-02 13:29:55,392 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9981, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 13:30:13,917 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:26, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0424, loss: 0.0424 +2025-07-02 13:30:32,142 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9988, loss_cls: 0.0323, loss: 0.0323 +2025-07-02 13:30:50,579 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 13:31:27,944 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:31:27,978 - pyskl - INFO - +top1_acc 0.9779 +top5_acc 0.9971 +2025-07-02 13:31:27,980 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9779, top5_acc: 0.9971 +2025-07-02 13:32:11,052 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:30, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 13:32:29,029 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9988, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 13:32:47,917 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 13:33:06,182 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 13:33:24,012 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:15, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 13:33:42,072 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0357, loss: 0.0357 +2025-07-02 13:34:00,184 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 13:34:18,512 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 13:34:37,228 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 13:35:14,314 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:35:14,343 - pyskl - INFO - +top1_acc 0.9797 +top5_acc 0.9968 +2025-07-02 13:35:14,347 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_145.pth was removed +2025-07-02 13:35:14,568 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth. +2025-07-02 13:35:14,569 - pyskl - INFO - Best top1_acc is 0.9797 at 150 epoch. +2025-07-02 13:35:14,570 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9797, top5_acc: 0.9968 +2025-07-02 13:35:22,018 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 13:38:57,242 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 13:38:57,242 - pyskl - INFO - top1_acc: 0.9793 +2025-07-02 13:38:57,242 - pyskl - INFO - top5_acc: 0.9972 +2025-07-02 13:38:57,243 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/k_3/best_top1_acc_epoch_150.pth +2025-07-02 13:42:32,815 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 13:42:32,815 - pyskl - INFO - top1_acc: 0.9793 +2025-07-02 13:42:32,815 - pyskl - INFO - top5_acc: 0.9972 diff --git a/pku_mmd_xview/k_3/20250702_041221.log.json b/pku_mmd_xview/k_3/20250702_041221.log.json new file mode 100644 index 0000000000000000000000000000000000000000..dffd3ca69657d4c2f0f9ffee78bac1f9691a3fd5 --- /dev/null +++ b/pku_mmd_xview/k_3/20250702_041221.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. 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-Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, \n\nTorchVision: 0.12.0\nOpenCV: 4.8.0\nMMCV: 1.5.0\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.3\npyskl: 0.1.0+", "seed": 391244939, "config_name": "k_3.py", "work_dir": "k_3", "hook_msgs": {}} +{"mode": 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0.17494} +{"mode": "train", "epoch": 2, "iter": 300, "lr": 0.025, "memory": 2902, "data_time": 0.00033, "top1_acc": 0.54937, "top5_acc": 0.90562, "loss_cls": 1.87929, "loss": 1.87929, "time": 0.17715} +{"mode": "train", "epoch": 2, "iter": 400, "lr": 0.02499, "memory": 2902, "data_time": 0.00028, "top1_acc": 0.59625, "top5_acc": 0.925, "loss_cls": 1.72504, "loss": 1.72504, "time": 0.17359} +{"mode": "train", "epoch": 2, "iter": 500, "lr": 0.02499, "memory": 2902, "data_time": 0.00022, "top1_acc": 0.57063, "top5_acc": 0.91562, "loss_cls": 1.81386, "loss": 1.81386, "time": 0.17616} +{"mode": "train", "epoch": 2, "iter": 600, "lr": 0.02499, "memory": 2902, "data_time": 0.00021, "top1_acc": 0.59875, "top5_acc": 0.92125, "loss_cls": 1.71764, "loss": 1.71764, "time": 0.17355} +{"mode": "train", "epoch": 2, "iter": 700, "lr": 0.02499, "memory": 2902, "data_time": 0.00022, "top1_acc": 0.61875, "top5_acc": 0.93312, "loss_cls": 1.63393, "loss": 1.63393, "time": 0.17395} +{"mode": "train", 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1.44513, "loss": 1.44513, "time": 0.17587} +{"mode": "train", "epoch": 3, "iter": 500, "lr": 0.02498, "memory": 2902, "data_time": 0.00024, "top1_acc": 0.65875, "top5_acc": 0.93938, "loss_cls": 1.5014, "loss": 1.5014, "time": 0.17596} +{"mode": "train", "epoch": 3, "iter": 600, "lr": 0.02498, "memory": 2902, "data_time": 0.00022, "top1_acc": 0.68938, "top5_acc": 0.94062, "loss_cls": 1.4332, "loss": 1.4332, "time": 0.17761} +{"mode": "train", "epoch": 3, "iter": 700, "lr": 0.02498, "memory": 2902, "data_time": 0.00022, "top1_acc": 0.70438, "top5_acc": 0.95625, "loss_cls": 1.34648, "loss": 1.34648, "time": 0.17696} +{"mode": "train", "epoch": 3, "iter": 800, "lr": 0.02498, "memory": 2902, "data_time": 0.00036, "top1_acc": 0.69875, "top5_acc": 0.96188, "loss_cls": 1.33654, "loss": 1.33654, "time": 0.17389} +{"mode": "val", "epoch": 3, "iter": 450, "lr": 0.02498, "top1_acc": 0.706, "top5_acc": 0.97036} +{"mode": "train", "epoch": 4, "iter": 100, "lr": 0.02497, "memory": 2902, "data_time": 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0.99562, "top5_acc": 0.99938, "loss_cls": 0.03285, "loss": 0.03285, "time": 0.18886} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 2903, "data_time": 0.00022, "top1_acc": 0.9925, "top5_acc": 0.99875, "loss_cls": 0.04032, "loss": 0.04032, "time": 0.18264} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 2903, "data_time": 0.00026, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.03443, "loss": 0.03443, "time": 0.17829} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 2903, "data_time": 0.00024, "top1_acc": 0.99438, "top5_acc": 0.99938, "loss_cls": 0.03569, "loss": 0.03569, "time": 0.18059} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 2903, "data_time": 0.00024, "top1_acc": 0.99375, "top5_acc": 0.99938, "loss_cls": 0.04452, "loss": 0.04452, "time": 0.18112} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 2903, "data_time": 0.00026, "top1_acc": 0.99375, "top5_acc": 0.99938, "loss_cls": 0.04391, "loss": 0.04391, "time": 0.18327} +{"mode": "val", "epoch": 150, "iter": 450, "lr": 0.0, "top1_acc": 0.97969, "top5_acc": 0.9968} diff --git a/pku_mmd_xview/k_3/best_pred.pkl b/pku_mmd_xview/k_3/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..8792efa985710cb706282edd560f9bbfd616f721 --- /dev/null +++ b/pku_mmd_xview/k_3/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4bfdaba3d5bd6ffadb410e66523e04c20d23d7275d4b5c648d300c3224e2e22b +size 2536891 diff --git a/pku_mmd_xview/k_3/best_top1_acc_epoch_150.pth b/pku_mmd_xview/k_3/best_top1_acc_epoch_150.pth new file mode 100644 index 0000000000000000000000000000000000000000..931d49113ad45fb8361c8fd5332d4ccfc43e194b --- /dev/null +++ b/pku_mmd_xview/k_3/best_top1_acc_epoch_150.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:51a18e66f7d28cb7b2ac3991fd78a3038ef2c77692b3c0ddb03b81bd1b80d73d +size 32917105 diff --git a/pku_mmd_xview/k_3/k_3.py b/pku_mmd_xview/k_3/k_3.py new file mode 100644 index 0000000000000000000000000000000000000000..8886d56a8323073672a0ab912e6896537c823dcc --- /dev/null +++ b/pku_mmd_xview/k_3/k_3.py @@ -0,0 +1,98 @@ +modality = 'k' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/k_3' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['k']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/km/20250702_041528.log b/pku_mmd_xview/km/20250702_041528.log new file mode 100644 index 0000000000000000000000000000000000000000..2c9cc434601e81ba6da833165bf15f586fd5ef4b --- /dev/null +++ b/pku_mmd_xview/km/20250702_041528.log @@ -0,0 +1,2416 @@ +2025-07-02 04:15:28,715 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: Tesla V100-PCIE-32GB +CUDA_HOME: /usr/local/cuda-11.7 +NVCC: Cuda compilation tools, release 11.7, V11.7.64 +GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.0 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2025-07-02 04:15:29,044 - pyskl - INFO - Config: modality = 'km' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/km' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) + +2025-07-02 04:15:29,044 - pyskl - INFO - Set random seed to 1081386826, deterministic: False +2025-07-02 04:15:33,783 - pyskl - INFO - 14354 videos remain after valid thresholding +2025-07-02 04:15:41,129 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 04:15:41,130 - pyskl - INFO - Start running, host: lhd@zkyd, work_dir: /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km +2025-07-02 04:15:41,130 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CustomCheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2025-07-02 04:15:41,130 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2025-07-02 04:15:41,130 - pyskl - INFO - Checkpoints will be saved to /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km by HardDiskBackend. +2025-07-02 04:16:22,948 - pyskl - INFO - Epoch [1][100/898] lr: 2.500e-02, eta: 15:38:00, time: 0.418, data_time: 0.240, memory: 2902, top1_acc: 0.0600, top5_acc: 0.2194, loss_cls: 4.2798, loss: 4.2798 +2025-07-02 04:16:40,541 - pyskl - INFO - Epoch [1][200/898] lr: 2.500e-02, eta: 11:05:49, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.0912, top5_acc: 0.3119, loss_cls: 4.1567, loss: 4.1567 +2025-07-02 04:16:57,916 - pyskl - INFO - Epoch [1][300/898] lr: 2.500e-02, eta: 9:33:17, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1206, top5_acc: 0.3856, loss_cls: 3.8658, loss: 3.8658 +2025-07-02 04:17:15,334 - pyskl - INFO - Epoch [1][400/898] lr: 2.500e-02, eta: 8:47:06, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.1531, top5_acc: 0.4387, loss_cls: 3.7356, loss: 3.7356 +2025-07-02 04:17:32,791 - pyskl - INFO - Epoch [1][500/898] lr: 2.500e-02, eta: 8:19:27, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.1631, top5_acc: 0.4781, loss_cls: 3.5566, loss: 3.5566 +2025-07-02 04:17:50,444 - pyskl - INFO - Epoch [1][600/898] lr: 2.500e-02, eta: 8:01:39, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.1919, top5_acc: 0.5513, loss_cls: 3.3604, loss: 3.3604 +2025-07-02 04:18:08,051 - pyskl - INFO - Epoch [1][700/898] lr: 2.500e-02, eta: 7:48:42, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.2625, top5_acc: 0.6381, loss_cls: 3.0619, loss: 3.0619 +2025-07-02 04:18:25,565 - pyskl - INFO - Epoch [1][800/898] lr: 2.500e-02, eta: 7:38:40, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.3025, top5_acc: 0.6944, loss_cls: 2.8665, loss: 2.8665 +2025-07-02 04:18:43,332 - pyskl - INFO - Saving checkpoint at 1 epochs +2025-07-02 04:19:20,780 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:19:20,802 - pyskl - INFO - +top1_acc 0.2887 +top5_acc 0.6691 +2025-07-02 04:19:20,965 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. +2025-07-02 04:19:20,965 - pyskl - INFO - Best top1_acc is 0.2887 at 1 epoch. +2025-07-02 04:19:20,967 - pyskl - INFO - Epoch(val) [1][450] top1_acc: 0.2887, top5_acc: 0.6691 +2025-07-02 04:20:02,746 - pyskl - INFO - Epoch [2][100/898] lr: 2.500e-02, eta: 7:40:24, time: 0.418, data_time: 0.242, memory: 2902, top1_acc: 0.3550, top5_acc: 0.7350, loss_cls: 2.6859, loss: 2.6859 +2025-07-02 04:20:20,266 - pyskl - INFO - Epoch [2][200/898] lr: 2.500e-02, eta: 7:33:41, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.3775, top5_acc: 0.7638, loss_cls: 2.5845, loss: 2.5845 +2025-07-02 04:20:37,491 - pyskl - INFO - Epoch [2][300/898] lr: 2.500e-02, eta: 7:27:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.3794, top5_acc: 0.7819, loss_cls: 2.5444, loss: 2.5444 +2025-07-02 04:20:54,726 - pyskl - INFO - Epoch [2][400/898] lr: 2.499e-02, eta: 7:22:13, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.3981, top5_acc: 0.7931, loss_cls: 2.4187, loss: 2.4187 +2025-07-02 04:21:12,234 - pyskl - INFO - Epoch [2][500/898] lr: 2.499e-02, eta: 7:18:06, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.4375, top5_acc: 0.8219, loss_cls: 2.3714, loss: 2.3714 +2025-07-02 04:21:29,496 - pyskl - INFO - Epoch [2][600/898] lr: 2.499e-02, eta: 7:14:08, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.4294, top5_acc: 0.8356, loss_cls: 2.2998, loss: 2.2998 +2025-07-02 04:21:47,047 - pyskl - INFO - Epoch [2][700/898] lr: 2.499e-02, eta: 7:11:01, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.4938, top5_acc: 0.8556, loss_cls: 2.1462, loss: 2.1462 +2025-07-02 04:22:04,469 - pyskl - INFO - Epoch [2][800/898] lr: 2.499e-02, eta: 7:08:04, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.4944, top5_acc: 0.8581, loss_cls: 2.1240, loss: 2.1240 +2025-07-02 04:22:22,313 - pyskl - INFO - Saving checkpoint at 2 epochs +2025-07-02 04:23:00,777 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:23:00,800 - pyskl - INFO - +top1_acc 0.5364 +top5_acc 0.9222 +2025-07-02 04:23:00,804 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_1.pth was removed +2025-07-02 04:23:00,987 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. +2025-07-02 04:23:00,988 - pyskl - INFO - Best top1_acc is 0.5364 at 2 epoch. +2025-07-02 04:23:00,989 - pyskl - INFO - Epoch(val) [2][450] top1_acc: 0.5364, top5_acc: 0.9222 +2025-07-02 04:23:42,941 - pyskl - INFO - Epoch [3][100/898] lr: 2.499e-02, eta: 7:11:46, time: 0.419, data_time: 0.242, memory: 2902, top1_acc: 0.5194, top5_acc: 0.8800, loss_cls: 1.9959, loss: 1.9959 +2025-07-02 04:24:00,556 - pyskl - INFO - Epoch [3][200/898] lr: 2.499e-02, eta: 7:09:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.5337, top5_acc: 0.8712, loss_cls: 2.0192, loss: 2.0192 +2025-07-02 04:24:17,929 - pyskl - INFO - Epoch [3][300/898] lr: 2.499e-02, eta: 7:06:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5581, top5_acc: 0.8919, loss_cls: 1.8986, loss: 1.8986 +2025-07-02 04:24:35,623 - pyskl - INFO - Epoch [3][400/898] lr: 2.498e-02, eta: 7:04:55, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.5563, top5_acc: 0.8838, loss_cls: 1.9416, loss: 1.9416 +2025-07-02 04:24:53,056 - pyskl - INFO - Epoch [3][500/898] lr: 2.498e-02, eta: 7:02:51, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.5763, top5_acc: 0.9075, loss_cls: 1.8205, loss: 1.8205 +2025-07-02 04:25:10,633 - pyskl - INFO - Epoch [3][600/898] lr: 2.498e-02, eta: 7:01:05, time: 0.176, data_time: 0.001, memory: 2902, top1_acc: 0.5931, top5_acc: 0.9075, loss_cls: 1.7832, loss: 1.7832 +2025-07-02 04:25:28,207 - pyskl - INFO - Epoch [3][700/898] lr: 2.498e-02, eta: 6:59:25, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6125, top5_acc: 0.9025, loss_cls: 1.7766, loss: 1.7766 +2025-07-02 04:25:45,808 - pyskl - INFO - Epoch [3][800/898] lr: 2.498e-02, eta: 6:57:53, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.6019, top5_acc: 0.9150, loss_cls: 1.7347, loss: 1.7347 +2025-07-02 04:26:03,564 - pyskl - INFO - Saving checkpoint at 3 epochs +2025-07-02 04:26:41,503 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:26:41,531 - pyskl - INFO - +top1_acc 0.6544 +top5_acc 0.9509 +2025-07-02 04:26:41,536 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_2.pth was removed +2025-07-02 04:26:41,721 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. +2025-07-02 04:26:41,722 - pyskl - INFO - Best top1_acc is 0.6544 at 3 epoch. +2025-07-02 04:26:41,723 - pyskl - INFO - Epoch(val) [3][450] top1_acc: 0.6544, top5_acc: 0.9509 +2025-07-02 04:27:22,657 - pyskl - INFO - Epoch [4][100/898] lr: 2.497e-02, eta: 6:59:53, time: 0.409, data_time: 0.233, memory: 2902, top1_acc: 0.6425, top5_acc: 0.9263, loss_cls: 1.6370, loss: 1.6370 +2025-07-02 04:27:40,342 - pyskl - INFO - Epoch [4][200/898] lr: 2.497e-02, eta: 6:58:30, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.6419, top5_acc: 0.9256, loss_cls: 1.6031, loss: 1.6031 +2025-07-02 04:27:57,742 - pyskl - INFO - Epoch [4][300/898] lr: 2.497e-02, eta: 6:56:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6575, top5_acc: 0.9206, loss_cls: 1.6197, loss: 1.6197 +2025-07-02 04:28:15,226 - pyskl - INFO - Epoch [4][400/898] lr: 2.497e-02, eta: 6:55:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6350, top5_acc: 0.9306, loss_cls: 1.6233, loss: 1.6233 +2025-07-02 04:28:33,003 - pyskl - INFO - Epoch [4][500/898] lr: 2.497e-02, eta: 6:54:27, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.6600, top5_acc: 0.9350, loss_cls: 1.5354, loss: 1.5354 +2025-07-02 04:28:50,483 - pyskl - INFO - Epoch [4][600/898] lr: 2.496e-02, eta: 6:53:11, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6500, top5_acc: 0.9369, loss_cls: 1.5379, loss: 1.5379 +2025-07-02 04:29:07,872 - pyskl - INFO - Epoch [4][700/898] lr: 2.496e-02, eta: 6:51:55, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.6587, top5_acc: 0.9437, loss_cls: 1.4803, loss: 1.4803 +2025-07-02 04:29:25,407 - pyskl - INFO - Epoch [4][800/898] lr: 2.496e-02, eta: 6:50:48, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6587, top5_acc: 0.9356, loss_cls: 1.5143, loss: 1.5143 +2025-07-02 04:29:43,394 - pyskl - INFO - Saving checkpoint at 4 epochs +2025-07-02 04:30:21,269 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:30:21,293 - pyskl - INFO - +top1_acc 0.6924 +top5_acc 0.9651 +2025-07-02 04:30:21,297 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_3.pth was removed +2025-07-02 04:30:21,466 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. +2025-07-02 04:30:21,467 - pyskl - INFO - Best top1_acc is 0.6924 at 4 epoch. +2025-07-02 04:30:21,468 - pyskl - INFO - Epoch(val) [4][450] top1_acc: 0.6924, top5_acc: 0.9651 +2025-07-02 04:31:03,313 - pyskl - INFO - Epoch [5][100/898] lr: 2.495e-02, eta: 6:52:56, time: 0.418, data_time: 0.244, memory: 2902, top1_acc: 0.6631, top5_acc: 0.9350, loss_cls: 1.5188, loss: 1.5188 +2025-07-02 04:31:20,861 - pyskl - INFO - Epoch [5][200/898] lr: 2.495e-02, eta: 6:51:50, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.6787, top5_acc: 0.9387, loss_cls: 1.4680, loss: 1.4680 +2025-07-02 04:31:38,169 - pyskl - INFO - Epoch [5][300/898] lr: 2.495e-02, eta: 6:50:38, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6794, top5_acc: 0.9519, loss_cls: 1.3949, loss: 1.3949 +2025-07-02 04:31:55,465 - pyskl - INFO - Epoch [5][400/898] lr: 2.495e-02, eta: 6:49:29, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.6894, top5_acc: 0.9450, loss_cls: 1.3992, loss: 1.3992 +2025-07-02 04:32:13,366 - pyskl - INFO - Epoch [5][500/898] lr: 2.494e-02, eta: 6:48:41, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.6794, top5_acc: 0.9387, loss_cls: 1.4522, loss: 1.4522 +2025-07-02 04:32:31,093 - pyskl - INFO - Epoch [5][600/898] lr: 2.494e-02, eta: 6:47:50, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7031, top5_acc: 0.9469, loss_cls: 1.3652, loss: 1.3652 +2025-07-02 04:32:48,180 - pyskl - INFO - Epoch [5][700/898] lr: 2.494e-02, eta: 6:46:41, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7025, top5_acc: 0.9463, loss_cls: 1.3915, loss: 1.3915 +2025-07-02 04:33:05,502 - pyskl - INFO - Epoch [5][800/898] lr: 2.493e-02, eta: 6:45:41, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7019, top5_acc: 0.9494, loss_cls: 1.3771, loss: 1.3771 +2025-07-02 04:33:23,187 - pyskl - INFO - Saving checkpoint at 5 epochs +2025-07-02 04:34:02,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:34:02,221 - pyskl - INFO - +top1_acc 0.7529 +top5_acc 0.9713 +2025-07-02 04:34:02,226 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_4.pth was removed +2025-07-02 04:34:02,395 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. +2025-07-02 04:34:02,395 - pyskl - INFO - Best top1_acc is 0.7529 at 5 epoch. +2025-07-02 04:34:02,397 - pyskl - INFO - Epoch(val) [5][450] top1_acc: 0.7529, top5_acc: 0.9713 +2025-07-02 04:34:44,709 - pyskl - INFO - Epoch [6][100/898] lr: 2.493e-02, eta: 6:47:34, time: 0.423, data_time: 0.248, memory: 2902, top1_acc: 0.7312, top5_acc: 0.9569, loss_cls: 1.2938, loss: 1.2938 +2025-07-02 04:35:01,816 - pyskl - INFO - Epoch [6][200/898] lr: 2.493e-02, eta: 6:46:29, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7269, top5_acc: 0.9525, loss_cls: 1.2861, loss: 1.2861 +2025-07-02 04:35:18,854 - pyskl - INFO - Epoch [6][300/898] lr: 2.492e-02, eta: 6:45:23, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7006, top5_acc: 0.9581, loss_cls: 1.2758, loss: 1.2758 +2025-07-02 04:35:36,196 - pyskl - INFO - Epoch [6][400/898] lr: 2.492e-02, eta: 6:44:28, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7256, top5_acc: 0.9563, loss_cls: 1.2796, loss: 1.2796 +2025-07-02 04:35:53,398 - pyskl - INFO - Epoch [6][500/898] lr: 2.492e-02, eta: 6:43:30, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7319, top5_acc: 0.9550, loss_cls: 1.2510, loss: 1.2510 +2025-07-02 04:36:10,514 - pyskl - INFO - Epoch [6][600/898] lr: 2.491e-02, eta: 6:42:32, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7238, top5_acc: 0.9500, loss_cls: 1.2781, loss: 1.2781 +2025-07-02 04:36:27,658 - pyskl - INFO - Epoch [6][700/898] lr: 2.491e-02, eta: 6:41:36, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7212, top5_acc: 0.9619, loss_cls: 1.2671, loss: 1.2671 +2025-07-02 04:36:45,208 - pyskl - INFO - Epoch [6][800/898] lr: 2.491e-02, eta: 6:40:52, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7225, top5_acc: 0.9637, loss_cls: 1.2347, loss: 1.2347 +2025-07-02 04:37:03,092 - pyskl - INFO - Saving checkpoint at 6 epochs +2025-07-02 04:37:42,074 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:37:42,098 - pyskl - INFO - +top1_acc 0.8321 +top5_acc 0.9782 +2025-07-02 04:37:42,103 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_5.pth was removed +2025-07-02 04:37:42,283 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. +2025-07-02 04:37:42,283 - pyskl - INFO - Best top1_acc is 0.8321 at 6 epoch. +2025-07-02 04:37:42,286 - pyskl - INFO - Epoch(val) [6][450] top1_acc: 0.8321, top5_acc: 0.9782 +2025-07-02 04:38:24,418 - pyskl - INFO - Epoch [7][100/898] lr: 2.490e-02, eta: 6:42:20, time: 0.421, data_time: 0.246, memory: 2902, top1_acc: 0.7462, top5_acc: 0.9544, loss_cls: 1.1875, loss: 1.1875 +2025-07-02 04:38:42,043 - pyskl - INFO - Epoch [7][200/898] lr: 2.489e-02, eta: 6:41:37, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7431, top5_acc: 0.9625, loss_cls: 1.1538, loss: 1.1538 +2025-07-02 04:38:59,272 - pyskl - INFO - Epoch [7][300/898] lr: 2.489e-02, eta: 6:40:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7538, top5_acc: 0.9600, loss_cls: 1.1328, loss: 1.1328 +2025-07-02 04:39:16,651 - pyskl - INFO - Epoch [7][400/898] lr: 2.489e-02, eta: 6:39:59, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7525, top5_acc: 0.9587, loss_cls: 1.1805, loss: 1.1805 +2025-07-02 04:39:33,902 - pyskl - INFO - Epoch [7][500/898] lr: 2.488e-02, eta: 6:39:11, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7456, top5_acc: 0.9594, loss_cls: 1.1985, loss: 1.1985 +2025-07-02 04:39:51,336 - pyskl - INFO - Epoch [7][600/898] lr: 2.488e-02, eta: 6:38:27, time: 0.174, data_time: 0.001, memory: 2902, top1_acc: 0.7444, top5_acc: 0.9569, loss_cls: 1.1917, loss: 1.1917 +2025-07-02 04:40:08,432 - pyskl - INFO - Epoch [7][700/898] lr: 2.487e-02, eta: 6:37:37, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7619, top5_acc: 0.9587, loss_cls: 1.1618, loss: 1.1618 +2025-07-02 04:40:25,857 - pyskl - INFO - Epoch [7][800/898] lr: 2.487e-02, eta: 6:36:55, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7431, top5_acc: 0.9613, loss_cls: 1.1878, loss: 1.1878 +2025-07-02 04:40:43,292 - pyskl - INFO - Saving checkpoint at 7 epochs +2025-07-02 04:41:20,565 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:41:20,592 - pyskl - INFO - +top1_acc 0.8298 +top5_acc 0.9811 +2025-07-02 04:41:20,593 - pyskl - INFO - Epoch(val) [7][450] top1_acc: 0.8298, top5_acc: 0.9811 +2025-07-02 04:42:01,807 - pyskl - INFO - Epoch [8][100/898] lr: 2.486e-02, eta: 6:37:49, time: 0.412, data_time: 0.239, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9706, loss_cls: 1.0730, loss: 1.0730 +2025-07-02 04:42:19,206 - pyskl - INFO - Epoch [8][200/898] lr: 2.486e-02, eta: 6:37:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7712, top5_acc: 0.9675, loss_cls: 1.0934, loss: 1.0934 +2025-07-02 04:42:36,535 - pyskl - INFO - Epoch [8][300/898] lr: 2.485e-02, eta: 6:36:24, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7600, top5_acc: 0.9606, loss_cls: 1.1334, loss: 1.1334 +2025-07-02 04:42:54,049 - pyskl - INFO - Epoch [8][400/898] lr: 2.485e-02, eta: 6:35:45, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7325, top5_acc: 0.9513, loss_cls: 1.2258, loss: 1.2258 +2025-07-02 04:43:11,663 - pyskl - INFO - Epoch [8][500/898] lr: 2.484e-02, eta: 6:35:09, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7850, top5_acc: 0.9706, loss_cls: 1.0538, loss: 1.0538 +2025-07-02 04:43:29,396 - pyskl - INFO - Epoch [8][600/898] lr: 2.484e-02, eta: 6:34:36, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9694, loss_cls: 1.0395, loss: 1.0395 +2025-07-02 04:43:46,839 - pyskl - INFO - Epoch [8][700/898] lr: 2.483e-02, eta: 6:33:57, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7456, top5_acc: 0.9663, loss_cls: 1.1359, loss: 1.1359 +2025-07-02 04:44:03,955 - pyskl - INFO - Epoch [8][800/898] lr: 2.483e-02, eta: 6:33:14, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9613, loss_cls: 1.0958, loss: 1.0958 +2025-07-02 04:44:21,694 - pyskl - INFO - Saving checkpoint at 8 epochs +2025-07-02 04:45:00,222 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:45:00,250 - pyskl - INFO - +top1_acc 0.7322 +top5_acc 0.9634 +2025-07-02 04:45:00,251 - pyskl - INFO - Epoch(val) [8][450] top1_acc: 0.7322, top5_acc: 0.9634 +2025-07-02 04:45:41,485 - pyskl - INFO - Epoch [9][100/898] lr: 2.482e-02, eta: 6:33:58, time: 0.412, data_time: 0.239, memory: 2902, top1_acc: 0.7856, top5_acc: 0.9675, loss_cls: 1.0617, loss: 1.0617 +2025-07-02 04:45:58,894 - pyskl - INFO - Epoch [9][200/898] lr: 2.482e-02, eta: 6:33:20, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7756, top5_acc: 0.9675, loss_cls: 1.0620, loss: 1.0620 +2025-07-02 04:46:16,115 - pyskl - INFO - Epoch [9][300/898] lr: 2.481e-02, eta: 6:32:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7719, top5_acc: 0.9694, loss_cls: 1.0668, loss: 1.0668 +2025-07-02 04:46:33,457 - pyskl - INFO - Epoch [9][400/898] lr: 2.481e-02, eta: 6:32:01, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7725, top5_acc: 0.9681, loss_cls: 1.0908, loss: 1.0908 +2025-07-02 04:46:50,771 - pyskl - INFO - Epoch [9][500/898] lr: 2.480e-02, eta: 6:31:22, time: 0.173, data_time: 0.001, memory: 2902, top1_acc: 0.7800, top5_acc: 0.9694, loss_cls: 1.0827, loss: 1.0827 +2025-07-02 04:47:08,337 - pyskl - INFO - Epoch [9][600/898] lr: 2.479e-02, eta: 6:30:49, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7812, top5_acc: 0.9725, loss_cls: 1.0351, loss: 1.0351 +2025-07-02 04:47:25,914 - pyskl - INFO - Epoch [9][700/898] lr: 2.479e-02, eta: 6:30:16, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7606, top5_acc: 0.9688, loss_cls: 1.0975, loss: 1.0975 +2025-07-02 04:47:43,617 - pyskl - INFO - Epoch [9][800/898] lr: 2.478e-02, eta: 6:29:45, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.7919, top5_acc: 0.9663, loss_cls: 1.0008, loss: 1.0008 +2025-07-02 04:48:01,250 - pyskl - INFO - Saving checkpoint at 9 epochs +2025-07-02 04:48:38,842 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:48:38,867 - pyskl - INFO - +top1_acc 0.8136 +top5_acc 0.9829 +2025-07-02 04:48:38,868 - pyskl - INFO - Epoch(val) [9][450] top1_acc: 0.8136, top5_acc: 0.9829 +2025-07-02 04:49:20,306 - pyskl - INFO - Epoch [10][100/898] lr: 2.477e-02, eta: 6:30:24, time: 0.414, data_time: 0.243, memory: 2902, top1_acc: 0.7869, top5_acc: 0.9681, loss_cls: 1.0301, loss: 1.0301 +2025-07-02 04:49:37,523 - pyskl - INFO - Epoch [10][200/898] lr: 2.477e-02, eta: 6:29:46, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9712, loss_cls: 0.9613, loss: 0.9613 +2025-07-02 04:49:54,573 - pyskl - INFO - Epoch [10][300/898] lr: 2.476e-02, eta: 6:29:06, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.7825, top5_acc: 0.9594, loss_cls: 1.0567, loss: 1.0567 +2025-07-02 04:50:11,945 - pyskl - INFO - Epoch [10][400/898] lr: 2.476e-02, eta: 6:28:31, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7731, top5_acc: 0.9656, loss_cls: 1.0509, loss: 1.0509 +2025-07-02 04:50:29,328 - pyskl - INFO - Epoch [10][500/898] lr: 2.475e-02, eta: 6:27:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7931, top5_acc: 0.9706, loss_cls: 0.9952, loss: 0.9952 +2025-07-02 04:50:46,957 - pyskl - INFO - Epoch [10][600/898] lr: 2.474e-02, eta: 6:27:26, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7906, top5_acc: 0.9719, loss_cls: 0.9681, loss: 0.9681 +2025-07-02 04:51:04,333 - pyskl - INFO - Epoch [10][700/898] lr: 2.474e-02, eta: 6:26:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7875, top5_acc: 0.9688, loss_cls: 1.0308, loss: 1.0308 +2025-07-02 04:51:21,747 - pyskl - INFO - Epoch [10][800/898] lr: 2.473e-02, eta: 6:26:19, time: 0.174, data_time: 0.001, memory: 2902, top1_acc: 0.7925, top5_acc: 0.9681, loss_cls: 1.0033, loss: 1.0033 +2025-07-02 04:51:39,542 - pyskl - INFO - Saving checkpoint at 10 epochs +2025-07-02 04:52:17,948 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:52:17,976 - pyskl - INFO - +top1_acc 0.2749 +top5_acc 0.6032 +2025-07-02 04:52:17,977 - pyskl - INFO - Epoch(val) [10][450] top1_acc: 0.2749, top5_acc: 0.6032 +2025-07-02 04:52:59,956 - pyskl - INFO - Epoch [11][100/898] lr: 2.472e-02, eta: 6:26:59, time: 0.420, data_time: 0.244, memory: 2902, top1_acc: 0.7775, top5_acc: 0.9706, loss_cls: 1.0296, loss: 1.0296 +2025-07-02 04:53:17,445 - pyskl - INFO - Epoch [11][200/898] lr: 2.471e-02, eta: 6:26:26, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9706, loss_cls: 0.9568, loss: 0.9568 +2025-07-02 04:53:35,011 - pyskl - INFO - Epoch [11][300/898] lr: 2.471e-02, eta: 6:25:56, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7819, top5_acc: 0.9688, loss_cls: 1.0192, loss: 1.0192 +2025-07-02 04:53:52,227 - pyskl - INFO - Epoch [11][400/898] lr: 2.470e-02, eta: 6:25:21, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9756, loss_cls: 0.9467, loss: 0.9467 +2025-07-02 04:54:09,586 - pyskl - INFO - Epoch [11][500/898] lr: 2.470e-02, eta: 6:24:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7956, top5_acc: 0.9669, loss_cls: 0.9492, loss: 0.9492 +2025-07-02 04:54:26,862 - pyskl - INFO - Epoch [11][600/898] lr: 2.469e-02, eta: 6:24:14, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7887, top5_acc: 0.9706, loss_cls: 0.9882, loss: 0.9882 +2025-07-02 04:54:44,238 - pyskl - INFO - Epoch [11][700/898] lr: 2.468e-02, eta: 6:23:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8056, top5_acc: 0.9712, loss_cls: 0.9412, loss: 0.9412 +2025-07-02 04:55:01,461 - pyskl - INFO - Epoch [11][800/898] lr: 2.468e-02, eta: 6:23:08, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7900, top5_acc: 0.9644, loss_cls: 1.0188, loss: 1.0188 +2025-07-02 04:55:19,113 - pyskl - INFO - Saving checkpoint at 11 epochs +2025-07-02 04:55:57,042 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:55:57,066 - pyskl - INFO - +top1_acc 0.7893 +top5_acc 0.9651 +2025-07-02 04:55:57,067 - pyskl - INFO - Epoch(val) [11][450] top1_acc: 0.7893, top5_acc: 0.9651 +2025-07-02 04:56:38,998 - pyskl - INFO - Epoch [12][100/898] lr: 2.466e-02, eta: 6:23:41, time: 0.419, data_time: 0.248, memory: 2902, top1_acc: 0.8125, top5_acc: 0.9750, loss_cls: 0.9323, loss: 0.9323 +2025-07-02 04:56:56,644 - pyskl - INFO - Epoch [12][200/898] lr: 2.466e-02, eta: 6:23:12, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.7937, top5_acc: 0.9750, loss_cls: 0.9685, loss: 0.9685 +2025-07-02 04:57:13,831 - pyskl - INFO - Epoch [12][300/898] lr: 2.465e-02, eta: 6:22:38, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7769, top5_acc: 0.9606, loss_cls: 1.0718, loss: 1.0718 +2025-07-02 04:57:31,284 - pyskl - INFO - Epoch [12][400/898] lr: 2.464e-02, eta: 6:22:08, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9756, loss_cls: 0.9323, loss: 0.9323 +2025-07-02 04:57:48,834 - pyskl - INFO - Epoch [12][500/898] lr: 2.464e-02, eta: 6:21:39, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9756, loss_cls: 0.9564, loss: 0.9564 +2025-07-02 04:58:06,097 - pyskl - INFO - Epoch [12][600/898] lr: 2.463e-02, eta: 6:21:07, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9769, loss_cls: 0.9016, loss: 0.9016 +2025-07-02 04:58:23,297 - pyskl - INFO - Epoch [12][700/898] lr: 2.462e-02, eta: 6:20:34, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9719, loss_cls: 0.9341, loss: 0.9341 +2025-07-02 04:58:40,613 - pyskl - INFO - Epoch [12][800/898] lr: 2.461e-02, eta: 6:20:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.7944, top5_acc: 0.9675, loss_cls: 0.9894, loss: 0.9894 +2025-07-02 04:58:58,642 - pyskl - INFO - Saving checkpoint at 12 epochs +2025-07-02 04:59:37,082 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 04:59:37,110 - pyskl - INFO - +top1_acc 0.6307 +top5_acc 0.9339 +2025-07-02 04:59:37,111 - pyskl - INFO - Epoch(val) [12][450] top1_acc: 0.6307, top5_acc: 0.9339 +2025-07-02 05:00:18,873 - pyskl - INFO - Epoch [13][100/898] lr: 2.460e-02, eta: 6:20:28, time: 0.418, data_time: 0.244, memory: 2902, top1_acc: 0.7994, top5_acc: 0.9700, loss_cls: 0.9511, loss: 0.9511 +2025-07-02 05:00:36,013 - pyskl - INFO - Epoch [13][200/898] lr: 2.459e-02, eta: 6:19:55, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9775, loss_cls: 0.8220, loss: 0.8220 +2025-07-02 05:00:53,339 - pyskl - INFO - Epoch [13][300/898] lr: 2.459e-02, eta: 6:19:24, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8075, top5_acc: 0.9675, loss_cls: 0.9641, loss: 0.9641 +2025-07-02 05:01:10,945 - pyskl - INFO - Epoch [13][400/898] lr: 2.458e-02, eta: 6:18:57, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9719, loss_cls: 0.9135, loss: 0.9135 +2025-07-02 05:01:28,362 - pyskl - INFO - Epoch [13][500/898] lr: 2.457e-02, eta: 6:18:27, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.7963, top5_acc: 0.9700, loss_cls: 0.9605, loss: 0.9605 +2025-07-02 05:01:45,605 - pyskl - INFO - Epoch [13][600/898] lr: 2.456e-02, eta: 6:17:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.7969, top5_acc: 0.9694, loss_cls: 0.9713, loss: 0.9713 +2025-07-02 05:02:02,956 - pyskl - INFO - Epoch [13][700/898] lr: 2.456e-02, eta: 6:17:27, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8156, top5_acc: 0.9706, loss_cls: 0.8985, loss: 0.8985 +2025-07-02 05:02:20,371 - pyskl - INFO - Epoch [13][800/898] lr: 2.455e-02, eta: 6:16:58, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9731, loss_cls: 0.9041, loss: 0.9041 +2025-07-02 05:02:38,043 - pyskl - INFO - Saving checkpoint at 13 epochs +2025-07-02 05:03:16,244 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:03:16,269 - pyskl - INFO - +top1_acc 0.8117 +top5_acc 0.9794 +2025-07-02 05:03:16,271 - pyskl - INFO - Epoch(val) [13][450] top1_acc: 0.8117, top5_acc: 0.9794 +2025-07-02 05:03:58,914 - pyskl - INFO - Epoch [14][100/898] lr: 2.453e-02, eta: 6:17:27, time: 0.426, data_time: 0.253, memory: 2902, top1_acc: 0.8181, top5_acc: 0.9756, loss_cls: 0.8906, loss: 0.8906 +2025-07-02 05:04:16,137 - pyskl - INFO - Epoch [14][200/898] lr: 2.452e-02, eta: 6:16:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9756, loss_cls: 0.8453, loss: 0.8453 +2025-07-02 05:04:33,324 - pyskl - INFO - Epoch [14][300/898] lr: 2.452e-02, eta: 6:16:25, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8137, top5_acc: 0.9719, loss_cls: 0.8781, loss: 0.8781 +2025-07-02 05:04:50,696 - pyskl - INFO - Epoch [14][400/898] lr: 2.451e-02, eta: 6:15:56, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9775, loss_cls: 0.8035, loss: 0.8035 +2025-07-02 05:05:08,308 - pyskl - INFO - Epoch [14][500/898] lr: 2.450e-02, eta: 6:15:30, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8219, top5_acc: 0.9750, loss_cls: 0.8905, loss: 0.8905 +2025-07-02 05:05:25,813 - pyskl - INFO - Epoch [14][600/898] lr: 2.449e-02, eta: 6:15:03, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8037, top5_acc: 0.9750, loss_cls: 0.9266, loss: 0.9266 +2025-07-02 05:05:43,161 - pyskl - INFO - Epoch [14][700/898] lr: 2.448e-02, eta: 6:14:34, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9756, loss_cls: 0.9541, loss: 0.9541 +2025-07-02 05:06:00,466 - pyskl - INFO - Epoch [14][800/898] lr: 2.447e-02, eta: 6:14:05, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9756, loss_cls: 0.9039, loss: 0.9039 +2025-07-02 05:06:18,328 - pyskl - INFO - Saving checkpoint at 14 epochs +2025-07-02 05:06:56,936 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:06:56,959 - pyskl - INFO - +top1_acc 0.8124 +top5_acc 0.9786 +2025-07-02 05:06:56,960 - pyskl - INFO - Epoch(val) [14][450] top1_acc: 0.8124, top5_acc: 0.9786 +2025-07-02 05:07:38,884 - pyskl - INFO - Epoch [15][100/898] lr: 2.446e-02, eta: 6:14:23, time: 0.419, data_time: 0.244, memory: 2902, top1_acc: 0.8087, top5_acc: 0.9762, loss_cls: 0.8606, loss: 0.8606 +2025-07-02 05:07:56,108 - pyskl - INFO - Epoch [15][200/898] lr: 2.445e-02, eta: 6:13:53, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9806, loss_cls: 0.8356, loss: 0.8356 +2025-07-02 05:08:13,527 - pyskl - INFO - Epoch [15][300/898] lr: 2.444e-02, eta: 6:13:25, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8144, top5_acc: 0.9750, loss_cls: 0.8929, loss: 0.8929 +2025-07-02 05:08:31,039 - pyskl - INFO - Epoch [15][400/898] lr: 2.443e-02, eta: 6:12:59, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9762, loss_cls: 0.8263, loss: 0.8263 +2025-07-02 05:08:48,604 - pyskl - INFO - Epoch [15][500/898] lr: 2.442e-02, eta: 6:12:33, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8013, top5_acc: 0.9756, loss_cls: 0.9080, loss: 0.9080 +2025-07-02 05:09:05,999 - pyskl - INFO - Epoch [15][600/898] lr: 2.441e-02, eta: 6:12:05, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8100, top5_acc: 0.9788, loss_cls: 0.9102, loss: 0.9102 +2025-07-02 05:09:23,372 - pyskl - INFO - Epoch [15][700/898] lr: 2.441e-02, eta: 6:11:38, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9694, loss_cls: 0.8612, loss: 0.8612 +2025-07-02 05:09:40,984 - pyskl - INFO - Epoch [15][800/898] lr: 2.440e-02, eta: 6:11:12, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8150, top5_acc: 0.9738, loss_cls: 0.9020, loss: 0.9020 +2025-07-02 05:09:59,053 - pyskl - INFO - Saving checkpoint at 15 epochs +2025-07-02 05:10:36,425 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:10:36,448 - pyskl - INFO - +top1_acc 0.8499 +top5_acc 0.9827 +2025-07-02 05:10:36,452 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_6.pth was removed +2025-07-02 05:10:36,757 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. +2025-07-02 05:10:36,757 - pyskl - INFO - Best top1_acc is 0.8499 at 15 epoch. +2025-07-02 05:10:36,759 - pyskl - INFO - Epoch(val) [15][450] top1_acc: 0.8499, top5_acc: 0.9827 +2025-07-02 05:11:17,737 - pyskl - INFO - Epoch [16][100/898] lr: 2.438e-02, eta: 6:11:17, time: 0.410, data_time: 0.236, memory: 2902, top1_acc: 0.8125, top5_acc: 0.9731, loss_cls: 0.9159, loss: 0.9159 +2025-07-02 05:11:34,857 - pyskl - INFO - Epoch [16][200/898] lr: 2.437e-02, eta: 6:10:48, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9750, loss_cls: 0.8064, loss: 0.8064 +2025-07-02 05:11:52,124 - pyskl - INFO - Epoch [16][300/898] lr: 2.436e-02, eta: 6:10:20, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8281, top5_acc: 0.9825, loss_cls: 0.8159, loss: 0.8159 +2025-07-02 05:12:09,387 - pyskl - INFO - Epoch [16][400/898] lr: 2.435e-02, eta: 6:09:51, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8206, top5_acc: 0.9762, loss_cls: 0.8630, loss: 0.8630 +2025-07-02 05:12:26,753 - pyskl - INFO - Epoch [16][500/898] lr: 2.434e-02, eta: 6:09:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8000, top5_acc: 0.9719, loss_cls: 0.9219, loss: 0.9219 +2025-07-02 05:12:44,424 - pyskl - INFO - Epoch [16][600/898] lr: 2.433e-02, eta: 6:09:00, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9731, loss_cls: 0.8288, loss: 0.8288 +2025-07-02 05:13:01,917 - pyskl - INFO - Epoch [16][700/898] lr: 2.432e-02, eta: 6:08:34, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8169, top5_acc: 0.9800, loss_cls: 0.8752, loss: 0.8752 +2025-07-02 05:13:19,737 - pyskl - INFO - Epoch [16][800/898] lr: 2.431e-02, eta: 6:08:12, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9738, loss_cls: 0.8733, loss: 0.8733 +2025-07-02 05:13:37,817 - pyskl - INFO - Saving checkpoint at 16 epochs +2025-07-02 05:14:16,177 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:14:16,206 - pyskl - INFO - +top1_acc 0.8442 +top5_acc 0.9770 +2025-07-02 05:14:16,207 - pyskl - INFO - Epoch(val) [16][450] top1_acc: 0.8442, top5_acc: 0.9770 +2025-07-02 05:14:57,663 - pyskl - INFO - Epoch [17][100/898] lr: 2.430e-02, eta: 6:08:18, time: 0.414, data_time: 0.242, memory: 2902, top1_acc: 0.8163, top5_acc: 0.9800, loss_cls: 0.8359, loss: 0.8359 +2025-07-02 05:15:14,908 - pyskl - INFO - Epoch [17][200/898] lr: 2.429e-02, eta: 6:07:50, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9744, loss_cls: 0.8020, loss: 0.8020 +2025-07-02 05:15:32,323 - pyskl - INFO - Epoch [17][300/898] lr: 2.428e-02, eta: 6:07:24, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9838, loss_cls: 0.8189, loss: 0.8189 +2025-07-02 05:15:49,182 - pyskl - INFO - Epoch [17][400/898] lr: 2.427e-02, eta: 6:06:53, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 0.8144, loss: 0.8144 +2025-07-02 05:16:06,376 - pyskl - INFO - Epoch [17][500/898] lr: 2.426e-02, eta: 6:06:26, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9725, loss_cls: 0.9066, loss: 0.9066 +2025-07-02 05:16:23,412 - pyskl - INFO - Epoch [17][600/898] lr: 2.425e-02, eta: 6:05:57, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9781, loss_cls: 0.7981, loss: 0.7981 +2025-07-02 05:16:40,615 - pyskl - INFO - Epoch [17][700/898] lr: 2.424e-02, eta: 6:05:29, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9725, loss_cls: 0.8808, loss: 0.8808 +2025-07-02 05:16:57,916 - pyskl - INFO - Epoch [17][800/898] lr: 2.423e-02, eta: 6:05:03, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9706, loss_cls: 0.8814, loss: 0.8814 +2025-07-02 05:17:15,466 - pyskl - INFO - Saving checkpoint at 17 epochs +2025-07-02 05:17:53,543 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:17:53,577 - pyskl - INFO - +top1_acc 0.8525 +top5_acc 0.9791 +2025-07-02 05:17:53,582 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_15.pth was removed +2025-07-02 05:17:53,788 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_17.pth. +2025-07-02 05:17:53,789 - pyskl - INFO - Best top1_acc is 0.8525 at 17 epoch. +2025-07-02 05:17:53,791 - pyskl - INFO - Epoch(val) [17][450] top1_acc: 0.8525, top5_acc: 0.9791 +2025-07-02 05:18:35,192 - pyskl - INFO - Epoch [18][100/898] lr: 2.421e-02, eta: 6:05:06, time: 0.414, data_time: 0.241, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9756, loss_cls: 0.8282, loss: 0.8282 +2025-07-02 05:18:52,368 - pyskl - INFO - Epoch [18][200/898] lr: 2.420e-02, eta: 6:04:39, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8481, top5_acc: 0.9750, loss_cls: 0.7848, loss: 0.7848 +2025-07-02 05:19:09,647 - pyskl - INFO - Epoch [18][300/898] lr: 2.419e-02, eta: 6:04:12, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8213, top5_acc: 0.9781, loss_cls: 0.8349, loss: 0.8349 +2025-07-02 05:19:26,578 - pyskl - INFO - Epoch [18][400/898] lr: 2.417e-02, eta: 6:03:43, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9781, loss_cls: 0.8420, loss: 0.8420 +2025-07-02 05:19:44,400 - pyskl - INFO - Epoch [18][500/898] lr: 2.416e-02, eta: 6:03:21, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8194, top5_acc: 0.9762, loss_cls: 0.8519, loss: 0.8519 +2025-07-02 05:20:01,999 - pyskl - INFO - Epoch [18][600/898] lr: 2.415e-02, eta: 6:02:57, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9794, loss_cls: 0.8274, loss: 0.8274 +2025-07-02 05:20:19,344 - pyskl - INFO - Epoch [18][700/898] lr: 2.414e-02, eta: 6:02:32, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9756, loss_cls: 0.8164, loss: 0.8164 +2025-07-02 05:20:36,790 - pyskl - INFO - Epoch [18][800/898] lr: 2.413e-02, eta: 6:02:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8319, top5_acc: 0.9756, loss_cls: 0.8355, loss: 0.8355 +2025-07-02 05:20:54,451 - pyskl - INFO - Saving checkpoint at 18 epochs +2025-07-02 05:21:32,077 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:21:32,103 - pyskl - INFO - +top1_acc 0.8453 +top5_acc 0.9839 +2025-07-02 05:21:32,105 - pyskl - INFO - Epoch(val) [18][450] top1_acc: 0.8453, top5_acc: 0.9839 +2025-07-02 05:22:13,425 - pyskl - INFO - Epoch [19][100/898] lr: 2.411e-02, eta: 6:02:07, time: 0.413, data_time: 0.238, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9819, loss_cls: 0.7921, loss: 0.7921 +2025-07-02 05:22:31,458 - pyskl - INFO - Epoch [19][200/898] lr: 2.410e-02, eta: 6:01:47, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9744, loss_cls: 0.8076, loss: 0.8076 +2025-07-02 05:22:48,914 - pyskl - INFO - Epoch [19][300/898] lr: 2.409e-02, eta: 6:01:22, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8344, top5_acc: 0.9762, loss_cls: 0.8410, loss: 0.8410 +2025-07-02 05:23:06,116 - pyskl - INFO - Epoch [19][400/898] lr: 2.408e-02, eta: 6:00:56, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9800, loss_cls: 0.8185, loss: 0.8185 +2025-07-02 05:23:23,666 - pyskl - INFO - Epoch [19][500/898] lr: 2.407e-02, eta: 6:00:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8375, top5_acc: 0.9838, loss_cls: 0.7631, loss: 0.7631 +2025-07-02 05:23:41,064 - pyskl - INFO - Epoch [19][600/898] lr: 2.406e-02, eta: 6:00:07, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8350, top5_acc: 0.9762, loss_cls: 0.8264, loss: 0.8264 +2025-07-02 05:23:58,421 - pyskl - INFO - Epoch [19][700/898] lr: 2.405e-02, eta: 5:59:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8300, top5_acc: 0.9750, loss_cls: 0.7732, loss: 0.7732 +2025-07-02 05:24:16,126 - pyskl - INFO - Epoch [19][800/898] lr: 2.403e-02, eta: 5:59:19, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9712, loss_cls: 0.8592, loss: 0.8592 +2025-07-02 05:24:34,302 - pyskl - INFO - Saving checkpoint at 19 epochs +2025-07-02 05:25:12,407 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:25:12,430 - pyskl - INFO - +top1_acc 0.8649 +top5_acc 0.9889 +2025-07-02 05:25:12,434 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_17.pth was removed +2025-07-02 05:25:12,605 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_19.pth. +2025-07-02 05:25:12,605 - pyskl - INFO - Best top1_acc is 0.8649 at 19 epoch. +2025-07-02 05:25:12,607 - pyskl - INFO - Epoch(val) [19][450] top1_acc: 0.8649, top5_acc: 0.9889 +2025-07-02 05:25:54,582 - pyskl - INFO - Epoch [20][100/898] lr: 2.401e-02, eta: 5:59:22, time: 0.420, data_time: 0.247, memory: 2902, top1_acc: 0.8381, top5_acc: 0.9825, loss_cls: 0.7581, loss: 0.7581 +2025-07-02 05:26:11,857 - pyskl - INFO - Epoch [20][200/898] lr: 2.400e-02, eta: 5:58:56, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9800, loss_cls: 0.7714, loss: 0.7714 +2025-07-02 05:26:29,344 - pyskl - INFO - Epoch [20][300/898] lr: 2.399e-02, eta: 5:58:32, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9781, loss_cls: 0.7415, loss: 0.7415 +2025-07-02 05:26:46,527 - pyskl - INFO - Epoch [20][400/898] lr: 2.398e-02, eta: 5:58:06, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8425, top5_acc: 0.9831, loss_cls: 0.7649, loss: 0.7649 +2025-07-02 05:27:03,914 - pyskl - INFO - Epoch [20][500/898] lr: 2.397e-02, eta: 5:57:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9794, loss_cls: 0.8383, loss: 0.8383 +2025-07-02 05:27:21,554 - pyskl - INFO - Epoch [20][600/898] lr: 2.395e-02, eta: 5:57:19, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9762, loss_cls: 0.8447, loss: 0.8447 +2025-07-02 05:27:38,902 - pyskl - INFO - Epoch [20][700/898] lr: 2.394e-02, eta: 5:56:54, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8231, top5_acc: 0.9788, loss_cls: 0.8288, loss: 0.8288 +2025-07-02 05:27:56,387 - pyskl - INFO - Epoch [20][800/898] lr: 2.393e-02, eta: 5:56:30, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8225, top5_acc: 0.9756, loss_cls: 0.8521, loss: 0.8521 +2025-07-02 05:28:14,284 - pyskl - INFO - Saving checkpoint at 20 epochs +2025-07-02 05:28:52,626 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:28:52,649 - pyskl - INFO - +top1_acc 0.8661 +top5_acc 0.9859 +2025-07-02 05:28:52,658 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_19.pth was removed +2025-07-02 05:28:52,842 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_20.pth. +2025-07-02 05:28:52,842 - pyskl - INFO - Best top1_acc is 0.8661 at 20 epoch. +2025-07-02 05:28:52,845 - pyskl - INFO - Epoch(val) [20][450] top1_acc: 0.8661, top5_acc: 0.9859 +2025-07-02 05:29:34,655 - pyskl - INFO - Epoch [21][100/898] lr: 2.391e-02, eta: 5:56:30, time: 0.418, data_time: 0.243, memory: 2902, top1_acc: 0.8669, top5_acc: 0.9825, loss_cls: 0.6989, loss: 0.6989 +2025-07-02 05:29:51,803 - pyskl - INFO - Epoch [21][200/898] lr: 2.390e-02, eta: 5:56:04, time: 0.171, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9838, loss_cls: 0.7483, loss: 0.7483 +2025-07-02 05:30:09,239 - pyskl - INFO - Epoch [21][300/898] lr: 2.388e-02, eta: 5:55:40, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8281, top5_acc: 0.9800, loss_cls: 0.7887, loss: 0.7887 +2025-07-02 05:30:26,171 - pyskl - INFO - Epoch [21][400/898] lr: 2.387e-02, eta: 5:55:13, time: 0.169, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9819, loss_cls: 0.7730, loss: 0.7730 +2025-07-02 05:30:43,773 - pyskl - INFO - Epoch [21][500/898] lr: 2.386e-02, eta: 5:54:50, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8413, top5_acc: 0.9800, loss_cls: 0.7806, loss: 0.7806 +2025-07-02 05:31:01,099 - pyskl - INFO - Epoch [21][600/898] lr: 2.385e-02, eta: 5:54:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8356, top5_acc: 0.9788, loss_cls: 0.8010, loss: 0.8010 +2025-07-02 05:31:18,841 - pyskl - INFO - Epoch [21][700/898] lr: 2.383e-02, eta: 5:54:04, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9788, loss_cls: 0.7983, loss: 0.7983 +2025-07-02 05:31:36,190 - pyskl - INFO - Epoch [21][800/898] lr: 2.382e-02, eta: 5:53:39, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8325, top5_acc: 0.9775, loss_cls: 0.8114, loss: 0.8114 +2025-07-02 05:31:54,039 - pyskl - INFO - Saving checkpoint at 21 epochs +2025-07-02 05:32:32,954 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:32:32,987 - pyskl - INFO - +top1_acc 0.8748 +top5_acc 0.9855 +2025-07-02 05:32:32,991 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_20.pth was removed +2025-07-02 05:32:33,190 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_21.pth. +2025-07-02 05:32:33,190 - pyskl - INFO - Best top1_acc is 0.8748 at 21 epoch. +2025-07-02 05:32:33,192 - pyskl - INFO - Epoch(val) [21][450] top1_acc: 0.8748, top5_acc: 0.9855 +2025-07-02 05:33:14,659 - pyskl - INFO - Epoch [22][100/898] lr: 2.380e-02, eta: 5:53:35, time: 0.415, data_time: 0.239, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9812, loss_cls: 0.7677, loss: 0.7677 +2025-07-02 05:33:31,981 - pyskl - INFO - Epoch [22][200/898] lr: 2.379e-02, eta: 5:53:11, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9794, loss_cls: 0.7371, loss: 0.7371 +2025-07-02 05:33:49,443 - pyskl - INFO - Epoch [22][300/898] lr: 2.377e-02, eta: 5:52:47, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9825, loss_cls: 0.7905, loss: 0.7905 +2025-07-02 05:34:06,879 - pyskl - INFO - Epoch [22][400/898] lr: 2.376e-02, eta: 5:52:23, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9819, loss_cls: 0.7452, loss: 0.7452 +2025-07-02 05:34:24,499 - pyskl - INFO - Epoch [22][500/898] lr: 2.375e-02, eta: 5:52:01, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8462, top5_acc: 0.9831, loss_cls: 0.7026, loss: 0.7026 +2025-07-02 05:34:42,233 - pyskl - INFO - Epoch [22][600/898] lr: 2.373e-02, eta: 5:51:39, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8569, top5_acc: 0.9838, loss_cls: 0.6951, loss: 0.6951 +2025-07-02 05:34:59,728 - pyskl - INFO - Epoch [22][700/898] lr: 2.372e-02, eta: 5:51:16, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9750, loss_cls: 0.7908, loss: 0.7908 +2025-07-02 05:35:17,448 - pyskl - INFO - Epoch [22][800/898] lr: 2.371e-02, eta: 5:50:54, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8119, top5_acc: 0.9719, loss_cls: 0.9032, loss: 0.9032 +2025-07-02 05:35:35,418 - pyskl - INFO - Saving checkpoint at 22 epochs +2025-07-02 05:36:12,774 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:36:12,799 - pyskl - INFO - +top1_acc 0.8788 +top5_acc 0.9896 +2025-07-02 05:36:12,804 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_21.pth was removed +2025-07-02 05:36:12,966 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_22.pth. +2025-07-02 05:36:12,966 - pyskl - INFO - Best top1_acc is 0.8788 at 22 epoch. +2025-07-02 05:36:12,968 - pyskl - INFO - Epoch(val) [22][450] top1_acc: 0.8788, top5_acc: 0.9896 +2025-07-02 05:36:55,066 - pyskl - INFO - Epoch [23][100/898] lr: 2.368e-02, eta: 5:50:52, time: 0.421, data_time: 0.248, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9869, loss_cls: 0.7408, loss: 0.7408 +2025-07-02 05:37:12,640 - pyskl - INFO - Epoch [23][200/898] lr: 2.367e-02, eta: 5:50:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9819, loss_cls: 0.7544, loss: 0.7544 +2025-07-02 05:37:30,559 - pyskl - INFO - Epoch [23][300/898] lr: 2.366e-02, eta: 5:50:09, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 0.7598, loss: 0.7598 +2025-07-02 05:37:47,811 - pyskl - INFO - Epoch [23][400/898] lr: 2.364e-02, eta: 5:49:44, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8294, top5_acc: 0.9844, loss_cls: 0.7757, loss: 0.7757 +2025-07-02 05:38:05,205 - pyskl - INFO - Epoch [23][500/898] lr: 2.363e-02, eta: 5:49:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8431, top5_acc: 0.9769, loss_cls: 0.7829, loss: 0.7829 +2025-07-02 05:38:22,665 - pyskl - INFO - Epoch [23][600/898] lr: 2.362e-02, eta: 5:48:57, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9831, loss_cls: 0.7196, loss: 0.7196 +2025-07-02 05:38:40,264 - pyskl - INFO - Epoch [23][700/898] lr: 2.360e-02, eta: 5:48:35, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 0.7703, loss: 0.7703 +2025-07-02 05:38:57,974 - pyskl - INFO - Epoch [23][800/898] lr: 2.359e-02, eta: 5:48:14, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8363, top5_acc: 0.9812, loss_cls: 0.7857, loss: 0.7857 +2025-07-02 05:39:15,730 - pyskl - INFO - Saving checkpoint at 23 epochs +2025-07-02 05:39:53,637 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:39:53,660 - pyskl - INFO - +top1_acc 0.8716 +top5_acc 0.9903 +2025-07-02 05:39:53,661 - pyskl - INFO - Epoch(val) [23][450] top1_acc: 0.8716, top5_acc: 0.9903 +2025-07-02 05:40:35,215 - pyskl - INFO - Epoch [24][100/898] lr: 2.356e-02, eta: 5:48:06, time: 0.415, data_time: 0.243, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9844, loss_cls: 0.7198, loss: 0.7198 +2025-07-02 05:40:52,834 - pyskl - INFO - Epoch [24][200/898] lr: 2.355e-02, eta: 5:47:44, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8494, top5_acc: 0.9806, loss_cls: 0.7538, loss: 0.7538 +2025-07-02 05:41:10,314 - pyskl - INFO - Epoch [24][300/898] lr: 2.354e-02, eta: 5:47:21, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9800, loss_cls: 0.7393, loss: 0.7393 +2025-07-02 05:41:27,776 - pyskl - INFO - Epoch [24][400/898] lr: 2.352e-02, eta: 5:46:58, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8313, top5_acc: 0.9850, loss_cls: 0.7863, loss: 0.7863 +2025-07-02 05:41:45,265 - pyskl - INFO - Epoch [24][500/898] lr: 2.351e-02, eta: 5:46:35, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9812, loss_cls: 0.6425, loss: 0.6425 +2025-07-02 05:42:02,641 - pyskl - INFO - Epoch [24][600/898] lr: 2.350e-02, eta: 5:46:12, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8406, top5_acc: 0.9812, loss_cls: 0.7291, loss: 0.7291 +2025-07-02 05:42:20,012 - pyskl - INFO - Epoch [24][700/898] lr: 2.348e-02, eta: 5:45:49, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8331, top5_acc: 0.9794, loss_cls: 0.7863, loss: 0.7863 +2025-07-02 05:42:37,284 - pyskl - INFO - Epoch [24][800/898] lr: 2.347e-02, eta: 5:45:25, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8369, top5_acc: 0.9731, loss_cls: 0.7937, loss: 0.7937 +2025-07-02 05:42:55,047 - pyskl - INFO - Saving checkpoint at 24 epochs +2025-07-02 05:43:33,317 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:43:33,341 - pyskl - INFO - +top1_acc 0.8899 +top5_acc 0.9889 +2025-07-02 05:43:33,345 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_22.pth was removed +2025-07-02 05:43:33,550 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_24.pth. +2025-07-02 05:43:33,550 - pyskl - INFO - Best top1_acc is 0.8899 at 24 epoch. +2025-07-02 05:43:33,551 - pyskl - INFO - Epoch(val) [24][450] top1_acc: 0.8899, top5_acc: 0.9889 +2025-07-02 05:44:14,591 - pyskl - INFO - Epoch [25][100/898] lr: 2.344e-02, eta: 5:45:14, time: 0.410, data_time: 0.237, memory: 2902, top1_acc: 0.8675, top5_acc: 0.9825, loss_cls: 0.7192, loss: 0.7192 +2025-07-02 05:44:32,033 - pyskl - INFO - Epoch [25][200/898] lr: 2.343e-02, eta: 5:44:51, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8706, top5_acc: 0.9881, loss_cls: 0.6744, loss: 0.6744 +2025-07-02 05:44:49,631 - pyskl - INFO - Epoch [25][300/898] lr: 2.341e-02, eta: 5:44:29, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9794, loss_cls: 0.7822, loss: 0.7822 +2025-07-02 05:45:06,958 - pyskl - INFO - Epoch [25][400/898] lr: 2.340e-02, eta: 5:44:06, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9769, loss_cls: 0.7674, loss: 0.7674 +2025-07-02 05:45:24,456 - pyskl - INFO - Epoch [25][500/898] lr: 2.338e-02, eta: 5:43:43, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8762, top5_acc: 0.9825, loss_cls: 0.6611, loss: 0.6611 +2025-07-02 05:45:42,195 - pyskl - INFO - Epoch [25][600/898] lr: 2.337e-02, eta: 5:43:22, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8387, top5_acc: 0.9806, loss_cls: 0.7529, loss: 0.7529 +2025-07-02 05:45:59,724 - pyskl - INFO - Epoch [25][700/898] lr: 2.335e-02, eta: 5:43:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8419, top5_acc: 0.9806, loss_cls: 0.7404, loss: 0.7404 +2025-07-02 05:46:17,255 - pyskl - INFO - Epoch [25][800/898] lr: 2.334e-02, eta: 5:42:37, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9862, loss_cls: 0.6976, loss: 0.6976 +2025-07-02 05:46:34,779 - pyskl - INFO - Saving checkpoint at 25 epochs +2025-07-02 05:47:12,946 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:47:12,974 - pyskl - INFO - +top1_acc 0.8144 +top5_acc 0.9768 +2025-07-02 05:47:12,975 - pyskl - INFO - Epoch(val) [25][450] top1_acc: 0.8144, top5_acc: 0.9768 +2025-07-02 05:47:54,956 - pyskl - INFO - Epoch [26][100/898] lr: 2.331e-02, eta: 5:42:30, time: 0.420, data_time: 0.243, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9856, loss_cls: 0.7206, loss: 0.7206 +2025-07-02 05:48:12,600 - pyskl - INFO - Epoch [26][200/898] lr: 2.330e-02, eta: 5:42:08, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8638, top5_acc: 0.9819, loss_cls: 0.7050, loss: 0.7050 +2025-07-02 05:48:30,018 - pyskl - INFO - Epoch [26][300/898] lr: 2.328e-02, eta: 5:41:45, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8506, top5_acc: 0.9762, loss_cls: 0.7796, loss: 0.7796 +2025-07-02 05:48:47,273 - pyskl - INFO - Epoch [26][400/898] lr: 2.327e-02, eta: 5:41:22, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8519, top5_acc: 0.9806, loss_cls: 0.7301, loss: 0.7301 +2025-07-02 05:49:04,610 - pyskl - INFO - Epoch [26][500/898] lr: 2.325e-02, eta: 5:40:59, time: 0.173, data_time: 0.000, memory: 2902, top1_acc: 0.8500, top5_acc: 0.9838, loss_cls: 0.7373, loss: 0.7373 +2025-07-02 05:49:21,993 - pyskl - INFO - Epoch [26][600/898] lr: 2.324e-02, eta: 5:40:36, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8456, top5_acc: 0.9806, loss_cls: 0.7538, loss: 0.7538 +2025-07-02 05:49:39,545 - pyskl - INFO - Epoch [26][700/898] lr: 2.322e-02, eta: 5:40:14, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9762, loss_cls: 0.7176, loss: 0.7176 +2025-07-02 05:49:57,186 - pyskl - INFO - Epoch [26][800/898] lr: 2.321e-02, eta: 5:39:53, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9838, loss_cls: 0.7107, loss: 0.7107 +2025-07-02 05:50:15,019 - pyskl - INFO - Saving checkpoint at 26 epochs +2025-07-02 05:50:53,399 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:50:53,426 - pyskl - INFO - +top1_acc 0.7333 +top5_acc 0.9443 +2025-07-02 05:50:53,427 - pyskl - INFO - Epoch(val) [26][450] top1_acc: 0.7333, top5_acc: 0.9443 +2025-07-02 05:51:35,603 - pyskl - INFO - Epoch [27][100/898] lr: 2.318e-02, eta: 5:39:44, time: 0.422, data_time: 0.247, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9850, loss_cls: 0.6892, loss: 0.6892 +2025-07-02 05:51:53,040 - pyskl - INFO - Epoch [27][200/898] lr: 2.316e-02, eta: 5:39:22, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9831, loss_cls: 0.7449, loss: 0.7449 +2025-07-02 05:52:10,495 - pyskl - INFO - Epoch [27][300/898] lr: 2.315e-02, eta: 5:39:00, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8556, top5_acc: 0.9838, loss_cls: 0.7503, loss: 0.7503 +2025-07-02 05:52:27,531 - pyskl - INFO - Epoch [27][400/898] lr: 2.313e-02, eta: 5:38:35, time: 0.170, data_time: 0.000, memory: 2902, top1_acc: 0.8450, top5_acc: 0.9812, loss_cls: 0.7546, loss: 0.7546 +2025-07-02 05:52:45,293 - pyskl - INFO - Epoch [27][500/898] lr: 2.312e-02, eta: 5:38:14, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9856, loss_cls: 0.7062, loss: 0.7062 +2025-07-02 05:53:02,707 - pyskl - INFO - Epoch [27][600/898] lr: 2.310e-02, eta: 5:37:52, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9856, loss_cls: 0.7001, loss: 0.7001 +2025-07-02 05:53:20,155 - pyskl - INFO - Epoch [27][700/898] lr: 2.309e-02, eta: 5:37:30, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 0.6876, loss: 0.6876 +2025-07-02 05:53:37,761 - pyskl - INFO - Epoch [27][800/898] lr: 2.307e-02, eta: 5:37:08, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8581, top5_acc: 0.9900, loss_cls: 0.6983, loss: 0.6983 +2025-07-02 05:53:55,638 - pyskl - INFO - Saving checkpoint at 27 epochs +2025-07-02 05:54:32,756 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:54:32,779 - pyskl - INFO - +top1_acc 0.8813 +top5_acc 0.9886 +2025-07-02 05:54:32,780 - pyskl - INFO - Epoch(val) [27][450] top1_acc: 0.8813, top5_acc: 0.9886 +2025-07-02 05:55:14,133 - pyskl - INFO - Epoch [28][100/898] lr: 2.304e-02, eta: 5:36:55, time: 0.413, data_time: 0.237, memory: 2902, top1_acc: 0.8631, top5_acc: 0.9862, loss_cls: 0.6890, loss: 0.6890 +2025-07-02 05:55:31,588 - pyskl - INFO - Epoch [28][200/898] lr: 2.302e-02, eta: 5:36:33, time: 0.175, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9762, loss_cls: 0.7159, loss: 0.7159 +2025-07-02 05:55:48,995 - pyskl - INFO - Epoch [28][300/898] lr: 2.301e-02, eta: 5:36:11, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8619, top5_acc: 0.9838, loss_cls: 0.6901, loss: 0.6901 +2025-07-02 05:56:06,559 - pyskl - INFO - Epoch [28][400/898] lr: 2.299e-02, eta: 5:35:49, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9806, loss_cls: 0.7008, loss: 0.7008 +2025-07-02 05:56:24,128 - pyskl - INFO - Epoch [28][500/898] lr: 2.298e-02, eta: 5:35:27, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9888, loss_cls: 0.6519, loss: 0.6519 +2025-07-02 05:56:41,373 - pyskl - INFO - Epoch [28][600/898] lr: 2.296e-02, eta: 5:35:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8488, top5_acc: 0.9844, loss_cls: 0.7362, loss: 0.7362 +2025-07-02 05:56:58,952 - pyskl - INFO - Epoch [28][700/898] lr: 2.294e-02, eta: 5:34:43, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8575, top5_acc: 0.9806, loss_cls: 0.7103, loss: 0.7103 +2025-07-02 05:57:16,374 - pyskl - INFO - Epoch [28][800/898] lr: 2.293e-02, eta: 5:34:21, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8444, top5_acc: 0.9781, loss_cls: 0.7477, loss: 0.7477 +2025-07-02 05:57:34,317 - pyskl - INFO - Saving checkpoint at 28 epochs +2025-07-02 05:58:12,600 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 05:58:12,623 - pyskl - INFO - +top1_acc 0.8863 +top5_acc 0.9876 +2025-07-02 05:58:12,624 - pyskl - INFO - Epoch(val) [28][450] top1_acc: 0.8863, top5_acc: 0.9876 +2025-07-02 05:58:54,791 - pyskl - INFO - Epoch [29][100/898] lr: 2.290e-02, eta: 5:34:10, time: 0.422, data_time: 0.247, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9875, loss_cls: 0.6792, loss: 0.6792 +2025-07-02 05:59:12,230 - pyskl - INFO - Epoch [29][200/898] lr: 2.288e-02, eta: 5:33:48, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9825, loss_cls: 0.6753, loss: 0.6753 +2025-07-02 05:59:29,992 - pyskl - INFO - Epoch [29][300/898] lr: 2.286e-02, eta: 5:33:27, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8612, top5_acc: 0.9831, loss_cls: 0.6913, loss: 0.6913 +2025-07-02 05:59:47,198 - pyskl - INFO - Epoch [29][400/898] lr: 2.285e-02, eta: 5:33:04, time: 0.172, data_time: 0.000, memory: 2902, top1_acc: 0.8650, top5_acc: 0.9844, loss_cls: 0.6603, loss: 0.6603 +2025-07-02 06:00:04,635 - pyskl - INFO - Epoch [29][500/898] lr: 2.283e-02, eta: 5:32:42, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8606, top5_acc: 0.9838, loss_cls: 0.6765, loss: 0.6765 +2025-07-02 06:00:22,256 - pyskl - INFO - Epoch [29][600/898] lr: 2.281e-02, eta: 5:32:21, time: 0.176, data_time: 0.000, memory: 2902, top1_acc: 0.8475, top5_acc: 0.9844, loss_cls: 0.7176, loss: 0.7176 +2025-07-02 06:00:39,619 - pyskl - INFO - Epoch [29][700/898] lr: 2.280e-02, eta: 5:31:59, time: 0.174, data_time: 0.000, memory: 2902, top1_acc: 0.8400, top5_acc: 0.9869, loss_cls: 0.7569, loss: 0.7569 +2025-07-02 06:00:57,291 - pyskl - INFO - Epoch [29][800/898] lr: 2.278e-02, eta: 5:31:38, time: 0.177, data_time: 0.000, memory: 2902, top1_acc: 0.8544, top5_acc: 0.9800, loss_cls: 0.6809, loss: 0.6809 +2025-07-02 06:01:15,170 - pyskl - INFO - Saving checkpoint at 29 epochs +2025-07-02 06:01:52,599 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:01:52,630 - pyskl - INFO - +top1_acc 0.8781 +top5_acc 0.9876 +2025-07-02 06:01:52,631 - pyskl - INFO - Epoch(val) [29][450] top1_acc: 0.8781, top5_acc: 0.9876 +2025-07-02 06:02:35,446 - pyskl - INFO - Epoch [30][100/898] lr: 2.275e-02, eta: 5:31:29, time: 0.428, data_time: 0.244, memory: 2902, top1_acc: 0.8538, top5_acc: 0.9788, loss_cls: 0.7423, loss: 0.7423 +2025-07-02 06:02:53,719 - pyskl - INFO - Epoch [30][200/898] lr: 2.273e-02, eta: 5:31:11, time: 0.183, data_time: 0.000, memory: 2902, top1_acc: 0.8562, top5_acc: 0.9875, loss_cls: 0.7070, loss: 0.7070 +2025-07-02 06:03:11,644 - pyskl - INFO - Epoch [30][300/898] lr: 2.271e-02, eta: 5:30:51, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8531, top5_acc: 0.9831, loss_cls: 0.6775, loss: 0.6775 +2025-07-02 06:03:29,550 - pyskl - INFO - Epoch [30][400/898] lr: 2.270e-02, eta: 5:30:31, time: 0.179, data_time: 0.000, memory: 2902, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 0.6274, loss: 0.6274 +2025-07-02 06:03:47,743 - pyskl - INFO - Epoch [30][500/898] lr: 2.268e-02, eta: 5:30:12, time: 0.182, data_time: 0.000, memory: 2902, top1_acc: 0.8694, top5_acc: 0.9756, loss_cls: 0.6592, loss: 0.6592 +2025-07-02 06:04:05,573 - pyskl - INFO - Epoch [30][600/898] lr: 2.266e-02, eta: 5:29:51, time: 0.178, data_time: 0.000, memory: 2902, top1_acc: 0.8512, top5_acc: 0.9875, loss_cls: 0.7049, loss: 0.7049 +2025-07-02 06:04:23,586 - pyskl - INFO - Epoch [30][700/898] lr: 2.265e-02, eta: 5:29:32, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8719, top5_acc: 0.9831, loss_cls: 0.6346, loss: 0.6346 +2025-07-02 06:04:41,625 - pyskl - INFO - Epoch [30][800/898] lr: 2.263e-02, eta: 5:29:12, time: 0.180, data_time: 0.000, memory: 2902, top1_acc: 0.8600, top5_acc: 0.9831, loss_cls: 0.6911, loss: 0.6911 +2025-07-02 06:05:00,130 - pyskl - INFO - Saving checkpoint at 30 epochs +2025-07-02 06:05:37,478 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:05:37,502 - pyskl - INFO - +top1_acc 0.8457 +top5_acc 0.9871 +2025-07-02 06:05:37,503 - pyskl - INFO - Epoch(val) [30][450] top1_acc: 0.8457, top5_acc: 0.9871 +2025-07-02 06:06:20,214 - pyskl - INFO - Epoch [31][100/898] lr: 2.260e-02, eta: 5:29:02, time: 0.427, data_time: 0.239, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9844, loss_cls: 0.7553, loss: 0.7553 +2025-07-02 06:06:38,266 - pyskl - INFO - Epoch [31][200/898] lr: 2.258e-02, eta: 5:28:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9881, loss_cls: 0.6942, loss: 0.6942 +2025-07-02 06:06:56,320 - pyskl - INFO - Epoch [31][300/898] lr: 2.256e-02, eta: 5:28:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9862, loss_cls: 0.7161, loss: 0.7161 +2025-07-02 06:07:14,660 - pyskl - INFO - Epoch [31][400/898] lr: 2.254e-02, eta: 5:28:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8625, top5_acc: 0.9856, loss_cls: 0.7077, loss: 0.7077 +2025-07-02 06:07:32,594 - pyskl - INFO - Epoch [31][500/898] lr: 2.253e-02, eta: 5:27:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8569, top5_acc: 0.9812, loss_cls: 0.7842, loss: 0.7842 +2025-07-02 06:07:50,864 - pyskl - INFO - Epoch [31][600/898] lr: 2.251e-02, eta: 5:27:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8550, top5_acc: 0.9812, loss_cls: 0.7668, loss: 0.7668 +2025-07-02 06:08:08,737 - pyskl - INFO - Epoch [31][700/898] lr: 2.249e-02, eta: 5:27:06, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9838, loss_cls: 0.7201, loss: 0.7201 +2025-07-02 06:08:26,955 - pyskl - INFO - Epoch [31][800/898] lr: 2.247e-02, eta: 5:26:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9775, loss_cls: 0.7370, loss: 0.7370 +2025-07-02 06:08:45,598 - pyskl - INFO - Saving checkpoint at 31 epochs +2025-07-02 06:09:23,277 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:09:23,305 - pyskl - INFO - +top1_acc 0.8898 +top5_acc 0.9904 +2025-07-02 06:09:23,306 - pyskl - INFO - Epoch(val) [31][450] top1_acc: 0.8898, top5_acc: 0.9904 +2025-07-02 06:10:05,865 - pyskl - INFO - Epoch [32][100/898] lr: 2.244e-02, eta: 5:26:35, time: 0.426, data_time: 0.243, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9831, loss_cls: 0.6965, loss: 0.6965 +2025-07-02 06:10:23,997 - pyskl - INFO - Epoch [32][200/898] lr: 2.242e-02, eta: 5:26:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9912, loss_cls: 0.6895, loss: 0.6895 +2025-07-02 06:10:42,203 - pyskl - INFO - Epoch [32][300/898] lr: 2.240e-02, eta: 5:25:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9831, loss_cls: 0.7220, loss: 0.7220 +2025-07-02 06:11:00,074 - pyskl - INFO - Epoch [32][400/898] lr: 2.239e-02, eta: 5:25:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8681, top5_acc: 0.9831, loss_cls: 0.7299, loss: 0.7299 +2025-07-02 06:11:18,226 - pyskl - INFO - Epoch [32][500/898] lr: 2.237e-02, eta: 5:25:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9869, loss_cls: 0.7042, loss: 0.7042 +2025-07-02 06:11:36,096 - pyskl - INFO - Epoch [32][600/898] lr: 2.235e-02, eta: 5:24:57, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9850, loss_cls: 0.7374, loss: 0.7374 +2025-07-02 06:11:53,836 - pyskl - INFO - Epoch [32][700/898] lr: 2.233e-02, eta: 5:24:37, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8506, top5_acc: 0.9819, loss_cls: 0.7471, loss: 0.7471 +2025-07-02 06:12:11,950 - pyskl - INFO - Epoch [32][800/898] lr: 2.231e-02, eta: 5:24:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9762, loss_cls: 0.7431, loss: 0.7431 +2025-07-02 06:12:30,392 - pyskl - INFO - Saving checkpoint at 32 epochs +2025-07-02 06:13:07,801 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:13:07,831 - pyskl - INFO - +top1_acc 0.7512 +top5_acc 0.9431 +2025-07-02 06:13:07,832 - pyskl - INFO - Epoch(val) [32][450] top1_acc: 0.7512, top5_acc: 0.9431 +2025-07-02 06:13:50,059 - pyskl - INFO - Epoch [33][100/898] lr: 2.228e-02, eta: 5:24:03, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9794, loss_cls: 0.7209, loss: 0.7209 +2025-07-02 06:14:08,156 - pyskl - INFO - Epoch [33][200/898] lr: 2.226e-02, eta: 5:23:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9819, loss_cls: 0.6945, loss: 0.6945 +2025-07-02 06:14:26,123 - pyskl - INFO - Epoch [33][300/898] lr: 2.224e-02, eta: 5:23:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9844, loss_cls: 0.6948, loss: 0.6948 +2025-07-02 06:14:44,117 - pyskl - INFO - Epoch [33][400/898] lr: 2.222e-02, eta: 5:23:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8512, top5_acc: 0.9806, loss_cls: 0.8065, loss: 0.8065 +2025-07-02 06:15:02,124 - pyskl - INFO - Epoch [33][500/898] lr: 2.221e-02, eta: 5:22:44, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.8381, top5_acc: 0.9819, loss_cls: 0.8177, loss: 0.8177 +2025-07-02 06:15:20,416 - pyskl - INFO - Epoch [33][600/898] lr: 2.219e-02, eta: 5:22:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 0.7736, loss: 0.7736 +2025-07-02 06:15:38,527 - pyskl - INFO - Epoch [33][700/898] lr: 2.217e-02, eta: 5:22:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8519, top5_acc: 0.9819, loss_cls: 0.7340, loss: 0.7340 +2025-07-02 06:15:56,938 - pyskl - INFO - Epoch [33][800/898] lr: 2.215e-02, eta: 5:21:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9862, loss_cls: 0.7310, loss: 0.7310 +2025-07-02 06:16:15,422 - pyskl - INFO - Saving checkpoint at 33 epochs +2025-07-02 06:16:52,921 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:16:52,945 - pyskl - INFO - +top1_acc 0.8945 +top5_acc 0.9901 +2025-07-02 06:16:52,949 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_24.pth was removed +2025-07-02 06:16:53,122 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_33.pth. +2025-07-02 06:16:53,122 - pyskl - INFO - Best top1_acc is 0.8945 at 33 epoch. +2025-07-02 06:16:53,124 - pyskl - INFO - Epoch(val) [33][450] top1_acc: 0.8945, top5_acc: 0.9901 +2025-07-02 06:17:35,489 - pyskl - INFO - Epoch [34][100/898] lr: 2.211e-02, eta: 5:21:33, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.8638, top5_acc: 0.9869, loss_cls: 0.6714, loss: 0.6714 +2025-07-02 06:17:53,288 - pyskl - INFO - Epoch [34][200/898] lr: 2.209e-02, eta: 5:21:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 0.7108, loss: 0.7108 +2025-07-02 06:18:11,210 - pyskl - INFO - Epoch [34][300/898] lr: 2.208e-02, eta: 5:20:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8475, top5_acc: 0.9788, loss_cls: 0.7880, loss: 0.7880 +2025-07-02 06:18:29,182 - pyskl - INFO - Epoch [34][400/898] lr: 2.206e-02, eta: 5:20:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8631, top5_acc: 0.9800, loss_cls: 0.7390, loss: 0.7390 +2025-07-02 06:18:47,336 - pyskl - INFO - Epoch [34][500/898] lr: 2.204e-02, eta: 5:20:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9831, loss_cls: 0.7237, loss: 0.7237 +2025-07-02 06:19:05,523 - pyskl - INFO - Epoch [34][600/898] lr: 2.202e-02, eta: 5:19:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9850, loss_cls: 0.6440, loss: 0.6440 +2025-07-02 06:19:23,393 - pyskl - INFO - Epoch [34][700/898] lr: 2.200e-02, eta: 5:19:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9875, loss_cls: 0.6895, loss: 0.6895 +2025-07-02 06:19:41,365 - pyskl - INFO - Epoch [34][800/898] lr: 2.198e-02, eta: 5:19:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.6361, loss: 0.6361 +2025-07-02 06:19:59,950 - pyskl - INFO - Saving checkpoint at 34 epochs +2025-07-02 06:20:37,281 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:20:37,314 - pyskl - INFO - +top1_acc 0.8862 +top5_acc 0.9893 +2025-07-02 06:20:37,315 - pyskl - INFO - Epoch(val) [34][450] top1_acc: 0.8862, top5_acc: 0.9893 +2025-07-02 06:21:19,687 - pyskl - INFO - Epoch [35][100/898] lr: 2.194e-02, eta: 5:18:59, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9856, loss_cls: 0.7193, loss: 0.7193 +2025-07-02 06:21:37,567 - pyskl - INFO - Epoch [35][200/898] lr: 2.192e-02, eta: 5:18:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8675, top5_acc: 0.9831, loss_cls: 0.6985, loss: 0.6985 +2025-07-02 06:21:55,846 - pyskl - INFO - Epoch [35][300/898] lr: 2.191e-02, eta: 5:18:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9862, loss_cls: 0.7023, loss: 0.7023 +2025-07-02 06:22:14,068 - pyskl - INFO - Epoch [35][400/898] lr: 2.189e-02, eta: 5:18:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9881, loss_cls: 0.7327, loss: 0.7327 +2025-07-02 06:22:32,179 - pyskl - INFO - Epoch [35][500/898] lr: 2.187e-02, eta: 5:17:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9850, loss_cls: 0.6761, loss: 0.6761 +2025-07-02 06:22:50,160 - pyskl - INFO - Epoch [35][600/898] lr: 2.185e-02, eta: 5:17:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 0.7096, loss: 0.7096 +2025-07-02 06:23:07,908 - pyskl - INFO - Epoch [35][700/898] lr: 2.183e-02, eta: 5:17:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 0.6618, loss: 0.6618 +2025-07-02 06:23:26,216 - pyskl - INFO - Epoch [35][800/898] lr: 2.181e-02, eta: 5:16:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9819, loss_cls: 0.6721, loss: 0.6721 +2025-07-02 06:23:44,757 - pyskl - INFO - Saving checkpoint at 35 epochs +2025-07-02 06:24:21,776 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:24:21,799 - pyskl - INFO - +top1_acc 0.8855 +top5_acc 0.9885 +2025-07-02 06:24:21,801 - pyskl - INFO - Epoch(val) [35][450] top1_acc: 0.8855, top5_acc: 0.9885 +2025-07-02 06:25:04,030 - pyskl - INFO - Epoch [36][100/898] lr: 2.177e-02, eta: 5:16:25, time: 0.422, data_time: 0.242, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9850, loss_cls: 0.6550, loss: 0.6550 +2025-07-02 06:25:22,340 - pyskl - INFO - Epoch [36][200/898] lr: 2.175e-02, eta: 5:16:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9838, loss_cls: 0.6185, loss: 0.6185 +2025-07-02 06:25:40,099 - pyskl - INFO - Epoch [36][300/898] lr: 2.173e-02, eta: 5:15:46, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8650, top5_acc: 0.9850, loss_cls: 0.6784, loss: 0.6784 +2025-07-02 06:25:57,715 - pyskl - INFO - Epoch [36][400/898] lr: 2.171e-02, eta: 5:15:25, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8600, top5_acc: 0.9794, loss_cls: 0.7283, loss: 0.7283 +2025-07-02 06:26:15,609 - pyskl - INFO - Epoch [36][500/898] lr: 2.169e-02, eta: 5:15:05, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8519, top5_acc: 0.9800, loss_cls: 0.7577, loss: 0.7577 +2025-07-02 06:26:33,720 - pyskl - INFO - Epoch [36][600/898] lr: 2.167e-02, eta: 5:14:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9812, loss_cls: 0.7211, loss: 0.7211 +2025-07-02 06:26:51,940 - pyskl - INFO - Epoch [36][700/898] lr: 2.165e-02, eta: 5:14:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8756, top5_acc: 0.9875, loss_cls: 0.6726, loss: 0.6726 +2025-07-02 06:27:10,223 - pyskl - INFO - Epoch [36][800/898] lr: 2.163e-02, eta: 5:14:08, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8575, top5_acc: 0.9812, loss_cls: 0.7327, loss: 0.7327 +2025-07-02 06:27:28,712 - pyskl - INFO - Saving checkpoint at 36 epochs +2025-07-02 06:28:05,963 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:28:05,984 - pyskl - INFO - +top1_acc 0.8631 +top5_acc 0.9805 +2025-07-02 06:28:05,985 - pyskl - INFO - Epoch(val) [36][450] top1_acc: 0.8631, top5_acc: 0.9805 +2025-07-02 06:28:49,444 - pyskl - INFO - Epoch [37][100/898] lr: 2.159e-02, eta: 5:13:54, time: 0.435, data_time: 0.250, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9862, loss_cls: 0.6486, loss: 0.6486 +2025-07-02 06:29:07,917 - pyskl - INFO - Epoch [37][200/898] lr: 2.157e-02, eta: 5:13:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9844, loss_cls: 0.6205, loss: 0.6205 +2025-07-02 06:29:25,600 - pyskl - INFO - Epoch [37][300/898] lr: 2.155e-02, eta: 5:13:15, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8612, top5_acc: 0.9819, loss_cls: 0.7050, loss: 0.7050 +2025-07-02 06:29:43,542 - pyskl - INFO - Epoch [37][400/898] lr: 2.153e-02, eta: 5:12:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9856, loss_cls: 0.6179, loss: 0.6179 +2025-07-02 06:30:01,533 - pyskl - INFO - Epoch [37][500/898] lr: 2.151e-02, eta: 5:12:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8669, top5_acc: 0.9838, loss_cls: 0.6802, loss: 0.6802 +2025-07-02 06:30:19,392 - pyskl - INFO - Epoch [37][600/898] lr: 2.149e-02, eta: 5:12:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9894, loss_cls: 0.6226, loss: 0.6226 +2025-07-02 06:30:37,605 - pyskl - INFO - Epoch [37][700/898] lr: 2.147e-02, eta: 5:11:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8606, top5_acc: 0.9812, loss_cls: 0.7074, loss: 0.7074 +2025-07-02 06:30:55,758 - pyskl - INFO - Epoch [37][800/898] lr: 2.145e-02, eta: 5:11:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8719, top5_acc: 0.9862, loss_cls: 0.6486, loss: 0.6486 +2025-07-02 06:31:14,011 - pyskl - INFO - Saving checkpoint at 37 epochs +2025-07-02 06:31:52,357 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:31:52,389 - pyskl - INFO - +top1_acc 0.8905 +top5_acc 0.9889 +2025-07-02 06:31:52,390 - pyskl - INFO - Epoch(val) [37][450] top1_acc: 0.8905, top5_acc: 0.9889 +2025-07-02 06:32:35,618 - pyskl - INFO - Epoch [38][100/898] lr: 2.141e-02, eta: 5:11:21, time: 0.432, data_time: 0.245, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9888, loss_cls: 0.6204, loss: 0.6204 +2025-07-02 06:32:53,952 - pyskl - INFO - Epoch [38][200/898] lr: 2.139e-02, eta: 5:11:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9819, loss_cls: 0.6669, loss: 0.6669 +2025-07-02 06:33:11,923 - pyskl - INFO - Epoch [38][300/898] lr: 2.137e-02, eta: 5:10:43, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9888, loss_cls: 0.6396, loss: 0.6396 +2025-07-02 06:33:30,158 - pyskl - INFO - Epoch [38][400/898] lr: 2.135e-02, eta: 5:10:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9850, loss_cls: 0.6826, loss: 0.6826 +2025-07-02 06:33:48,421 - pyskl - INFO - Epoch [38][500/898] lr: 2.133e-02, eta: 5:10:05, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8662, top5_acc: 0.9788, loss_cls: 0.6995, loss: 0.6995 +2025-07-02 06:34:06,471 - pyskl - INFO - Epoch [38][600/898] lr: 2.131e-02, eta: 5:09:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9862, loss_cls: 0.6091, loss: 0.6091 +2025-07-02 06:34:24,888 - pyskl - INFO - Epoch [38][700/898] lr: 2.129e-02, eta: 5:09:27, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9850, loss_cls: 0.6279, loss: 0.6279 +2025-07-02 06:34:42,930 - pyskl - INFO - Epoch [38][800/898] lr: 2.127e-02, eta: 5:09:07, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8531, top5_acc: 0.9875, loss_cls: 0.7178, loss: 0.7178 +2025-07-02 06:35:01,323 - pyskl - INFO - Saving checkpoint at 38 epochs +2025-07-02 06:35:38,940 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:35:38,968 - pyskl - INFO - +top1_acc 0.8909 +top5_acc 0.9904 +2025-07-02 06:35:38,970 - pyskl - INFO - Epoch(val) [38][450] top1_acc: 0.8909, top5_acc: 0.9904 +2025-07-02 06:36:21,230 - pyskl - INFO - Epoch [39][100/898] lr: 2.123e-02, eta: 5:08:48, time: 0.423, data_time: 0.242, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9875, loss_cls: 0.5638, loss: 0.5638 +2025-07-02 06:36:39,264 - pyskl - INFO - Epoch [39][200/898] lr: 2.120e-02, eta: 5:08:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9850, loss_cls: 0.6956, loss: 0.6956 +2025-07-02 06:36:57,058 - pyskl - INFO - Epoch [39][300/898] lr: 2.118e-02, eta: 5:08:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.6240, loss: 0.6240 +2025-07-02 06:37:15,043 - pyskl - INFO - Epoch [39][400/898] lr: 2.116e-02, eta: 5:07:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8594, top5_acc: 0.9862, loss_cls: 0.6721, loss: 0.6721 +2025-07-02 06:37:33,197 - pyskl - INFO - Epoch [39][500/898] lr: 2.114e-02, eta: 5:07:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8588, top5_acc: 0.9756, loss_cls: 0.7124, loss: 0.7124 +2025-07-02 06:37:50,963 - pyskl - INFO - Epoch [39][600/898] lr: 2.112e-02, eta: 5:07:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9906, loss_cls: 0.6361, loss: 0.6361 +2025-07-02 06:38:09,288 - pyskl - INFO - Epoch [39][700/898] lr: 2.110e-02, eta: 5:06:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 0.6279, loss: 0.6279 +2025-07-02 06:38:27,552 - pyskl - INFO - Epoch [39][800/898] lr: 2.108e-02, eta: 5:06:31, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8531, top5_acc: 0.9838, loss_cls: 0.7312, loss: 0.7312 +2025-07-02 06:38:45,773 - pyskl - INFO - Saving checkpoint at 39 epochs +2025-07-02 06:39:22,850 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:39:22,873 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9914 +2025-07-02 06:39:22,874 - pyskl - INFO - Epoch(val) [39][450] top1_acc: 0.8828, top5_acc: 0.9914 +2025-07-02 06:40:05,331 - pyskl - INFO - Epoch [40][100/898] lr: 2.104e-02, eta: 5:06:11, time: 0.425, data_time: 0.243, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9894, loss_cls: 0.5896, loss: 0.5896 +2025-07-02 06:40:23,259 - pyskl - INFO - Epoch [40][200/898] lr: 2.101e-02, eta: 5:05:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8688, top5_acc: 0.9850, loss_cls: 0.6625, loss: 0.6625 +2025-07-02 06:40:40,877 - pyskl - INFO - Epoch [40][300/898] lr: 2.099e-02, eta: 5:05:30, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9750, loss_cls: 0.6722, loss: 0.6722 +2025-07-02 06:40:58,949 - pyskl - INFO - Epoch [40][400/898] lr: 2.097e-02, eta: 5:05:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9850, loss_cls: 0.6531, loss: 0.6531 +2025-07-02 06:41:16,952 - pyskl - INFO - Epoch [40][500/898] lr: 2.095e-02, eta: 5:04:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9831, loss_cls: 0.6639, loss: 0.6639 +2025-07-02 06:41:34,988 - pyskl - INFO - Epoch [40][600/898] lr: 2.093e-02, eta: 5:04:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9888, loss_cls: 0.5906, loss: 0.5906 +2025-07-02 06:41:53,171 - pyskl - INFO - Epoch [40][700/898] lr: 2.091e-02, eta: 5:04:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9819, loss_cls: 0.6811, loss: 0.6811 +2025-07-02 06:42:11,184 - pyskl - INFO - Epoch [40][800/898] lr: 2.089e-02, eta: 5:03:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9844, loss_cls: 0.6186, loss: 0.6186 +2025-07-02 06:42:29,615 - pyskl - INFO - Saving checkpoint at 40 epochs +2025-07-02 06:43:07,273 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:43:07,297 - pyskl - INFO - +top1_acc 0.8500 +top5_acc 0.9734 +2025-07-02 06:43:07,298 - pyskl - INFO - Epoch(val) [40][450] top1_acc: 0.8500, top5_acc: 0.9734 +2025-07-02 06:43:49,297 - pyskl - INFO - Epoch [41][100/898] lr: 2.084e-02, eta: 5:03:31, time: 0.420, data_time: 0.241, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9869, loss_cls: 0.6484, loss: 0.6484 +2025-07-02 06:44:07,171 - pyskl - INFO - Epoch [41][200/898] lr: 2.082e-02, eta: 5:03:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 0.6714, loss: 0.6714 +2025-07-02 06:44:24,747 - pyskl - INFO - Epoch [41][300/898] lr: 2.080e-02, eta: 5:02:50, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 0.5870, loss: 0.5870 +2025-07-02 06:44:42,530 - pyskl - INFO - Epoch [41][400/898] lr: 2.078e-02, eta: 5:02:30, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9881, loss_cls: 0.6374, loss: 0.6374 +2025-07-02 06:45:00,417 - pyskl - INFO - Epoch [41][500/898] lr: 2.076e-02, eta: 5:02:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9762, loss_cls: 0.6929, loss: 0.6929 +2025-07-02 06:45:18,131 - pyskl - INFO - Epoch [41][600/898] lr: 2.073e-02, eta: 5:01:50, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9888, loss_cls: 0.6479, loss: 0.6479 +2025-07-02 06:45:36,028 - pyskl - INFO - Epoch [41][700/898] lr: 2.071e-02, eta: 5:01:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9831, loss_cls: 0.6683, loss: 0.6683 +2025-07-02 06:45:54,232 - pyskl - INFO - Epoch [41][800/898] lr: 2.069e-02, eta: 5:01:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9869, loss_cls: 0.6328, loss: 0.6328 +2025-07-02 06:46:12,660 - pyskl - INFO - Saving checkpoint at 41 epochs +2025-07-02 06:46:49,612 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:46:49,636 - pyskl - INFO - +top1_acc 0.8904 +top5_acc 0.9869 +2025-07-02 06:46:49,637 - pyskl - INFO - Epoch(val) [41][450] top1_acc: 0.8904, top5_acc: 0.9869 +2025-07-02 06:47:32,012 - pyskl - INFO - Epoch [42][100/898] lr: 2.065e-02, eta: 5:00:50, time: 0.424, data_time: 0.240, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9875, loss_cls: 0.6598, loss: 0.6598 +2025-07-02 06:47:49,949 - pyskl - INFO - Epoch [42][200/898] lr: 2.062e-02, eta: 5:00:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9919, loss_cls: 0.6310, loss: 0.6310 +2025-07-02 06:48:07,687 - pyskl - INFO - Epoch [42][300/898] lr: 2.060e-02, eta: 5:00:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6351, loss: 0.6351 +2025-07-02 06:48:25,546 - pyskl - INFO - Epoch [42][400/898] lr: 2.058e-02, eta: 4:59:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9869, loss_cls: 0.6026, loss: 0.6026 +2025-07-02 06:48:43,641 - pyskl - INFO - Epoch [42][500/898] lr: 2.056e-02, eta: 4:59:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8644, top5_acc: 0.9844, loss_cls: 0.6955, loss: 0.6955 +2025-07-02 06:49:01,355 - pyskl - INFO - Epoch [42][600/898] lr: 2.053e-02, eta: 4:59:10, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9838, loss_cls: 0.6478, loss: 0.6478 +2025-07-02 06:49:20,009 - pyskl - INFO - Epoch [42][700/898] lr: 2.051e-02, eta: 4:58:52, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9856, loss_cls: 0.6633, loss: 0.6633 +2025-07-02 06:49:38,169 - pyskl - INFO - Epoch [42][800/898] lr: 2.049e-02, eta: 4:58:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8712, top5_acc: 0.9781, loss_cls: 0.6935, loss: 0.6935 +2025-07-02 06:49:56,730 - pyskl - INFO - Saving checkpoint at 42 epochs +2025-07-02 06:50:34,427 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:50:34,451 - pyskl - INFO - +top1_acc 0.8901 +top5_acc 0.9908 +2025-07-02 06:50:34,452 - pyskl - INFO - Epoch(val) [42][450] top1_acc: 0.8901, top5_acc: 0.9908 +2025-07-02 06:51:17,686 - pyskl - INFO - Epoch [43][100/898] lr: 2.045e-02, eta: 4:58:13, time: 0.432, data_time: 0.250, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9856, loss_cls: 0.6012, loss: 0.6012 +2025-07-02 06:51:35,834 - pyskl - INFO - Epoch [43][200/898] lr: 2.042e-02, eta: 4:57:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8788, top5_acc: 0.9900, loss_cls: 0.5884, loss: 0.5884 +2025-07-02 06:51:53,889 - pyskl - INFO - Epoch [43][300/898] lr: 2.040e-02, eta: 4:57:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9825, loss_cls: 0.6293, loss: 0.6293 +2025-07-02 06:52:11,943 - pyskl - INFO - Epoch [43][400/898] lr: 2.038e-02, eta: 4:57:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8769, top5_acc: 0.9850, loss_cls: 0.6191, loss: 0.6191 +2025-07-02 06:52:30,276 - pyskl - INFO - Epoch [43][500/898] lr: 2.036e-02, eta: 4:56:56, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8762, top5_acc: 0.9875, loss_cls: 0.6388, loss: 0.6388 +2025-07-02 06:52:48,482 - pyskl - INFO - Epoch [43][600/898] lr: 2.033e-02, eta: 4:56:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6899, loss: 0.6899 +2025-07-02 06:53:06,752 - pyskl - INFO - Epoch [43][700/898] lr: 2.031e-02, eta: 4:56:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9831, loss_cls: 0.6072, loss: 0.6072 +2025-07-02 06:53:25,020 - pyskl - INFO - Epoch [43][800/898] lr: 2.029e-02, eta: 4:55:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9819, loss_cls: 0.6482, loss: 0.6482 +2025-07-02 06:53:43,724 - pyskl - INFO - Saving checkpoint at 43 epochs +2025-07-02 06:54:21,324 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:54:21,351 - pyskl - INFO - +top1_acc 0.7443 +top5_acc 0.9353 +2025-07-02 06:54:21,352 - pyskl - INFO - Epoch(val) [43][450] top1_acc: 0.7443, top5_acc: 0.9353 +2025-07-02 06:55:03,394 - pyskl - INFO - Epoch [44][100/898] lr: 2.024e-02, eta: 4:55:36, time: 0.420, data_time: 0.241, memory: 2903, top1_acc: 0.8656, top5_acc: 0.9894, loss_cls: 0.6588, loss: 0.6588 +2025-07-02 06:55:20,896 - pyskl - INFO - Epoch [44][200/898] lr: 2.022e-02, eta: 4:55:15, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.8775, top5_acc: 0.9831, loss_cls: 0.6086, loss: 0.6086 +2025-07-02 06:55:38,924 - pyskl - INFO - Epoch [44][300/898] lr: 2.020e-02, eta: 4:54:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8725, top5_acc: 0.9812, loss_cls: 0.6699, loss: 0.6699 +2025-07-02 06:55:56,868 - pyskl - INFO - Epoch [44][400/898] lr: 2.017e-02, eta: 4:54:36, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8781, top5_acc: 0.9862, loss_cls: 0.6241, loss: 0.6241 +2025-07-02 06:56:15,121 - pyskl - INFO - Epoch [44][500/898] lr: 2.015e-02, eta: 4:54:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8512, top5_acc: 0.9775, loss_cls: 0.7306, loss: 0.7306 +2025-07-02 06:56:32,978 - pyskl - INFO - Epoch [44][600/898] lr: 2.013e-02, eta: 4:53:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9856, loss_cls: 0.6294, loss: 0.6294 +2025-07-02 06:56:50,960 - pyskl - INFO - Epoch [44][700/898] lr: 2.010e-02, eta: 4:53:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5859, loss: 0.5859 +2025-07-02 06:57:09,452 - pyskl - INFO - Epoch [44][800/898] lr: 2.008e-02, eta: 4:53:19, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.6240, loss: 0.6240 +2025-07-02 06:57:27,979 - pyskl - INFO - Saving checkpoint at 44 epochs +2025-07-02 06:58:05,268 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 06:58:05,291 - pyskl - INFO - +top1_acc 0.8713 +top5_acc 0.9872 +2025-07-02 06:58:05,292 - pyskl - INFO - Epoch(val) [44][450] top1_acc: 0.8713, top5_acc: 0.9872 +2025-07-02 06:58:47,512 - pyskl - INFO - Epoch [45][100/898] lr: 2.003e-02, eta: 4:52:56, time: 0.422, data_time: 0.239, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9862, loss_cls: 0.6108, loss: 0.6108 +2025-07-02 06:59:05,576 - pyskl - INFO - Epoch [45][200/898] lr: 2.001e-02, eta: 4:52:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9844, loss_cls: 0.5995, loss: 0.5995 +2025-07-02 06:59:23,436 - pyskl - INFO - Epoch [45][300/898] lr: 1.999e-02, eta: 4:52:16, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 0.6277, loss: 0.6277 +2025-07-02 06:59:41,719 - pyskl - INFO - Epoch [45][400/898] lr: 1.996e-02, eta: 4:51:57, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9894, loss_cls: 0.5719, loss: 0.5719 +2025-07-02 06:59:59,969 - pyskl - INFO - Epoch [45][500/898] lr: 1.994e-02, eta: 4:51:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9775, loss_cls: 0.6845, loss: 0.6845 +2025-07-02 07:00:17,985 - pyskl - INFO - Epoch [45][600/898] lr: 1.992e-02, eta: 4:51:19, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9906, loss_cls: 0.6046, loss: 0.6046 +2025-07-02 07:00:35,803 - pyskl - INFO - Epoch [45][700/898] lr: 1.989e-02, eta: 4:50:59, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8706, top5_acc: 0.9875, loss_cls: 0.6315, loss: 0.6315 +2025-07-02 07:00:53,882 - pyskl - INFO - Epoch [45][800/898] lr: 1.987e-02, eta: 4:50:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 0.6195, loss: 0.6195 +2025-07-02 07:01:12,396 - pyskl - INFO - Saving checkpoint at 45 epochs +2025-07-02 07:01:49,391 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:01:49,415 - pyskl - INFO - +top1_acc 0.8973 +top5_acc 0.9896 +2025-07-02 07:01:49,419 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_33.pth was removed +2025-07-02 07:01:49,587 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. +2025-07-02 07:01:49,588 - pyskl - INFO - Best top1_acc is 0.8973 at 45 epoch. +2025-07-02 07:01:49,589 - pyskl - INFO - Epoch(val) [45][450] top1_acc: 0.8973, top5_acc: 0.9896 +2025-07-02 07:02:32,483 - pyskl - INFO - Epoch [46][100/898] lr: 1.982e-02, eta: 4:50:17, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9875, loss_cls: 0.5920, loss: 0.5920 +2025-07-02 07:02:50,640 - pyskl - INFO - Epoch [46][200/898] lr: 1.980e-02, eta: 4:49:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8888, top5_acc: 0.9850, loss_cls: 0.6040, loss: 0.6040 +2025-07-02 07:03:08,894 - pyskl - INFO - Epoch [46][300/898] lr: 1.978e-02, eta: 4:49:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9862, loss_cls: 0.5674, loss: 0.5674 +2025-07-02 07:03:27,147 - pyskl - INFO - Epoch [46][400/898] lr: 1.975e-02, eta: 4:49:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9831, loss_cls: 0.6428, loss: 0.6428 +2025-07-02 07:03:45,398 - pyskl - INFO - Epoch [46][500/898] lr: 1.973e-02, eta: 4:49:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8700, top5_acc: 0.9844, loss_cls: 0.6540, loss: 0.6540 +2025-07-02 07:04:03,420 - pyskl - INFO - Epoch [46][600/898] lr: 1.971e-02, eta: 4:48:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9900, loss_cls: 0.6183, loss: 0.6183 +2025-07-02 07:04:21,267 - pyskl - INFO - Epoch [46][700/898] lr: 1.968e-02, eta: 4:48:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8731, top5_acc: 0.9862, loss_cls: 0.6614, loss: 0.6614 +2025-07-02 07:04:39,393 - pyskl - INFO - Epoch [46][800/898] lr: 1.966e-02, eta: 4:48:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9906, loss_cls: 0.6059, loss: 0.6059 +2025-07-02 07:04:57,715 - pyskl - INFO - Saving checkpoint at 46 epochs +2025-07-02 07:05:35,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:05:35,478 - pyskl - INFO - +top1_acc 0.8336 +top5_acc 0.9745 +2025-07-02 07:05:35,479 - pyskl - INFO - Epoch(val) [46][450] top1_acc: 0.8336, top5_acc: 0.9745 +2025-07-02 07:06:18,175 - pyskl - INFO - Epoch [47][100/898] lr: 1.961e-02, eta: 4:47:39, time: 0.427, data_time: 0.244, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9881, loss_cls: 0.5997, loss: 0.5997 +2025-07-02 07:06:36,028 - pyskl - INFO - Epoch [47][200/898] lr: 1.959e-02, eta: 4:47:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9888, loss_cls: 0.6220, loss: 0.6220 +2025-07-02 07:06:53,901 - pyskl - INFO - Epoch [47][300/898] lr: 1.956e-02, eta: 4:46:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9869, loss_cls: 0.5950, loss: 0.5950 +2025-07-02 07:07:11,942 - pyskl - INFO - Epoch [47][400/898] lr: 1.954e-02, eta: 4:46:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9856, loss_cls: 0.6025, loss: 0.6025 +2025-07-02 07:07:30,072 - pyskl - INFO - Epoch [47][500/898] lr: 1.951e-02, eta: 4:46:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.6021, loss: 0.6021 +2025-07-02 07:07:48,012 - pyskl - INFO - Epoch [47][600/898] lr: 1.949e-02, eta: 4:46:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9869, loss_cls: 0.6058, loss: 0.6058 +2025-07-02 07:08:05,765 - pyskl - INFO - Epoch [47][700/898] lr: 1.947e-02, eta: 4:45:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9881, loss_cls: 0.5791, loss: 0.5791 +2025-07-02 07:08:23,622 - pyskl - INFO - Epoch [47][800/898] lr: 1.944e-02, eta: 4:45:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9925, loss_cls: 0.5845, loss: 0.5845 +2025-07-02 07:08:42,093 - pyskl - INFO - Saving checkpoint at 47 epochs +2025-07-02 07:09:19,039 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:09:19,067 - pyskl - INFO - +top1_acc 0.9167 +top5_acc 0.9932 +2025-07-02 07:09:19,072 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_45.pth was removed +2025-07-02 07:09:19,272 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. +2025-07-02 07:09:19,273 - pyskl - INFO - Best top1_acc is 0.9167 at 47 epoch. +2025-07-02 07:09:19,274 - pyskl - INFO - Epoch(val) [47][450] top1_acc: 0.9167, top5_acc: 0.9932 +2025-07-02 07:10:01,320 - pyskl - INFO - Epoch [48][100/898] lr: 1.939e-02, eta: 4:44:56, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9925, loss_cls: 0.5566, loss: 0.5566 +2025-07-02 07:10:19,277 - pyskl - INFO - Epoch [48][200/898] lr: 1.937e-02, eta: 4:44:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9850, loss_cls: 0.5991, loss: 0.5991 +2025-07-02 07:10:37,124 - pyskl - INFO - Epoch [48][300/898] lr: 1.934e-02, eta: 4:44:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.5448, loss: 0.5448 +2025-07-02 07:10:55,106 - pyskl - INFO - Epoch [48][400/898] lr: 1.932e-02, eta: 4:43:57, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9912, loss_cls: 0.5718, loss: 0.5718 +2025-07-02 07:11:13,174 - pyskl - INFO - Epoch [48][500/898] lr: 1.930e-02, eta: 4:43:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9838, loss_cls: 0.6623, loss: 0.6623 +2025-07-02 07:11:31,029 - pyskl - INFO - Epoch [48][600/898] lr: 1.927e-02, eta: 4:43:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8800, top5_acc: 0.9881, loss_cls: 0.5999, loss: 0.5999 +2025-07-02 07:11:49,200 - pyskl - INFO - Epoch [48][700/898] lr: 1.925e-02, eta: 4:42:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9844, loss_cls: 0.5933, loss: 0.5933 +2025-07-02 07:12:07,869 - pyskl - INFO - Epoch [48][800/898] lr: 1.922e-02, eta: 4:42:40, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5760, loss: 0.5760 +2025-07-02 07:12:26,511 - pyskl - INFO - Saving checkpoint at 48 epochs +2025-07-02 07:13:03,597 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:13:03,636 - pyskl - INFO - +top1_acc 0.9050 +top5_acc 0.9923 +2025-07-02 07:13:03,638 - pyskl - INFO - Epoch(val) [48][450] top1_acc: 0.9050, top5_acc: 0.9923 +2025-07-02 07:13:48,402 - pyskl - INFO - Epoch [49][100/898] lr: 1.917e-02, eta: 4:42:21, time: 0.448, data_time: 0.264, memory: 2903, top1_acc: 0.8744, top5_acc: 0.9888, loss_cls: 0.6228, loss: 0.6228 +2025-07-02 07:14:06,445 - pyskl - INFO - Epoch [49][200/898] lr: 1.915e-02, eta: 4:42:01, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9888, loss_cls: 0.5712, loss: 0.5712 +2025-07-02 07:14:24,441 - pyskl - INFO - Epoch [49][300/898] lr: 1.912e-02, eta: 4:41:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8919, top5_acc: 0.9912, loss_cls: 0.5424, loss: 0.5424 +2025-07-02 07:14:42,088 - pyskl - INFO - Epoch [49][400/898] lr: 1.910e-02, eta: 4:41:21, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9894, loss_cls: 0.5702, loss: 0.5702 +2025-07-02 07:14:59,770 - pyskl - INFO - Epoch [49][500/898] lr: 1.907e-02, eta: 4:41:01, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8850, top5_acc: 0.9881, loss_cls: 0.5978, loss: 0.5978 +2025-07-02 07:15:17,563 - pyskl - INFO - Epoch [49][600/898] lr: 1.905e-02, eta: 4:40:41, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9856, loss_cls: 0.5755, loss: 0.5755 +2025-07-02 07:15:35,373 - pyskl - INFO - Epoch [49][700/898] lr: 1.902e-02, eta: 4:40:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9900, loss_cls: 0.5358, loss: 0.5358 +2025-07-02 07:15:53,280 - pyskl - INFO - Epoch [49][800/898] lr: 1.900e-02, eta: 4:40:01, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9850, loss_cls: 0.6037, loss: 0.6037 +2025-07-02 07:16:11,802 - pyskl - INFO - Saving checkpoint at 49 epochs +2025-07-02 07:16:49,084 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:16:49,107 - pyskl - INFO - +top1_acc 0.7093 +top5_acc 0.9001 +2025-07-02 07:16:49,108 - pyskl - INFO - Epoch(val) [49][450] top1_acc: 0.7093, top5_acc: 0.9001 +2025-07-02 07:17:32,032 - pyskl - INFO - Epoch [50][100/898] lr: 1.895e-02, eta: 4:39:38, time: 0.429, data_time: 0.245, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9875, loss_cls: 0.6334, loss: 0.6334 +2025-07-02 07:17:50,100 - pyskl - INFO - Epoch [50][200/898] lr: 1.893e-02, eta: 4:39:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5719, loss: 0.5719 +2025-07-02 07:18:08,114 - pyskl - INFO - Epoch [50][300/898] lr: 1.890e-02, eta: 4:38:59, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5948, loss: 0.5948 +2025-07-02 07:18:26,153 - pyskl - INFO - Epoch [50][400/898] lr: 1.888e-02, eta: 4:38:39, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9862, loss_cls: 0.6046, loss: 0.6046 +2025-07-02 07:18:43,971 - pyskl - INFO - Epoch [50][500/898] lr: 1.885e-02, eta: 4:38:19, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9875, loss_cls: 0.6100, loss: 0.6100 +2025-07-02 07:19:01,985 - pyskl - INFO - Epoch [50][600/898] lr: 1.883e-02, eta: 4:38:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5593, loss: 0.5593 +2025-07-02 07:19:20,244 - pyskl - INFO - Epoch [50][700/898] lr: 1.880e-02, eta: 4:37:41, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8750, top5_acc: 0.9888, loss_cls: 0.5921, loss: 0.5921 +2025-07-02 07:19:38,457 - pyskl - INFO - Epoch [50][800/898] lr: 1.877e-02, eta: 4:37:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9919, loss_cls: 0.5210, loss: 0.5210 +2025-07-02 07:19:57,037 - pyskl - INFO - Saving checkpoint at 50 epochs +2025-07-02 07:20:33,854 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:20:33,883 - pyskl - INFO - +top1_acc 0.8968 +top5_acc 0.9854 +2025-07-02 07:20:33,884 - pyskl - INFO - Epoch(val) [50][450] top1_acc: 0.8968, top5_acc: 0.9854 +2025-07-02 07:21:16,689 - pyskl - INFO - Epoch [51][100/898] lr: 1.872e-02, eta: 4:36:57, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.8838, top5_acc: 0.9919, loss_cls: 0.5956, loss: 0.5956 +2025-07-02 07:21:34,604 - pyskl - INFO - Epoch [51][200/898] lr: 1.870e-02, eta: 4:36:37, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9894, loss_cls: 0.5690, loss: 0.5690 +2025-07-02 07:21:52,508 - pyskl - INFO - Epoch [51][300/898] lr: 1.867e-02, eta: 4:36:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8875, top5_acc: 0.9900, loss_cls: 0.5790, loss: 0.5790 +2025-07-02 07:22:10,320 - pyskl - INFO - Epoch [51][400/898] lr: 1.865e-02, eta: 4:35:58, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9856, loss_cls: 0.5970, loss: 0.5970 +2025-07-02 07:22:28,017 - pyskl - INFO - Epoch [51][500/898] lr: 1.862e-02, eta: 4:35:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.5799, loss: 0.5799 +2025-07-02 07:22:46,253 - pyskl - INFO - Epoch [51][600/898] lr: 1.860e-02, eta: 4:35:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8806, top5_acc: 0.9888, loss_cls: 0.5894, loss: 0.5894 +2025-07-02 07:23:03,976 - pyskl - INFO - Epoch [51][700/898] lr: 1.857e-02, eta: 4:34:58, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9875, loss_cls: 0.5792, loss: 0.5792 +2025-07-02 07:23:21,909 - pyskl - INFO - Epoch [51][800/898] lr: 1.855e-02, eta: 4:34:39, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9894, loss_cls: 0.5926, loss: 0.5926 +2025-07-02 07:23:40,430 - pyskl - INFO - Saving checkpoint at 51 epochs +2025-07-02 07:24:17,228 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:24:17,251 - pyskl - INFO - +top1_acc 0.8927 +top5_acc 0.9898 +2025-07-02 07:24:17,252 - pyskl - INFO - Epoch(val) [51][450] top1_acc: 0.8927, top5_acc: 0.9898 +2025-07-02 07:25:00,053 - pyskl - INFO - Epoch [52][100/898] lr: 1.850e-02, eta: 4:34:14, time: 0.428, data_time: 0.242, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9881, loss_cls: 0.5506, loss: 0.5506 +2025-07-02 07:25:17,807 - pyskl - INFO - Epoch [52][200/898] lr: 1.847e-02, eta: 4:33:54, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9888, loss_cls: 0.5217, loss: 0.5217 +2025-07-02 07:25:35,975 - pyskl - INFO - Epoch [52][300/898] lr: 1.845e-02, eta: 4:33:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9900, loss_cls: 0.5446, loss: 0.5446 +2025-07-02 07:25:54,117 - pyskl - INFO - Epoch [52][400/898] lr: 1.842e-02, eta: 4:33:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8694, top5_acc: 0.9844, loss_cls: 0.6566, loss: 0.6566 +2025-07-02 07:26:12,143 - pyskl - INFO - Epoch [52][500/898] lr: 1.839e-02, eta: 4:32:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9912, loss_cls: 0.5330, loss: 0.5330 +2025-07-02 07:26:30,244 - pyskl - INFO - Epoch [52][600/898] lr: 1.837e-02, eta: 4:32:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5230, loss: 0.5230 +2025-07-02 07:26:48,255 - pyskl - INFO - Epoch [52][700/898] lr: 1.834e-02, eta: 4:32:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9900, loss_cls: 0.5449, loss: 0.5449 +2025-07-02 07:27:06,052 - pyskl - INFO - Epoch [52][800/898] lr: 1.832e-02, eta: 4:31:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8812, top5_acc: 0.9894, loss_cls: 0.6119, loss: 0.6119 +2025-07-02 07:27:24,727 - pyskl - INFO - Saving checkpoint at 52 epochs +2025-07-02 07:28:01,838 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:28:01,861 - pyskl - INFO - +top1_acc 0.8892 +top5_acc 0.9910 +2025-07-02 07:28:01,862 - pyskl - INFO - Epoch(val) [52][450] top1_acc: 0.8892, top5_acc: 0.9910 +2025-07-02 07:28:45,147 - pyskl - INFO - Epoch [53][100/898] lr: 1.827e-02, eta: 4:31:33, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9856, loss_cls: 0.5658, loss: 0.5658 +2025-07-02 07:29:03,167 - pyskl - INFO - Epoch [53][200/898] lr: 1.824e-02, eta: 4:31:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5053, loss: 0.5053 +2025-07-02 07:29:21,140 - pyskl - INFO - Epoch [53][300/898] lr: 1.821e-02, eta: 4:30:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9888, loss_cls: 0.4942, loss: 0.4942 +2025-07-02 07:29:39,375 - pyskl - INFO - Epoch [53][400/898] lr: 1.819e-02, eta: 4:30:35, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9881, loss_cls: 0.5507, loss: 0.5507 +2025-07-02 07:29:57,582 - pyskl - INFO - Epoch [53][500/898] lr: 1.816e-02, eta: 4:30:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9944, loss_cls: 0.5518, loss: 0.5518 +2025-07-02 07:30:15,580 - pyskl - INFO - Epoch [53][600/898] lr: 1.814e-02, eta: 4:29:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9906, loss_cls: 0.5842, loss: 0.5842 +2025-07-02 07:30:33,651 - pyskl - INFO - Epoch [53][700/898] lr: 1.811e-02, eta: 4:29:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5872, loss: 0.5872 +2025-07-02 07:30:51,986 - pyskl - INFO - Epoch [53][800/898] lr: 1.808e-02, eta: 4:29:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9831, loss_cls: 0.5707, loss: 0.5707 +2025-07-02 07:31:10,596 - pyskl - INFO - Saving checkpoint at 53 epochs +2025-07-02 07:31:47,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:31:48,003 - pyskl - INFO - +top1_acc 0.9201 +top5_acc 0.9928 +2025-07-02 07:31:48,008 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_47.pth was removed +2025-07-02 07:31:48,383 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. +2025-07-02 07:31:48,384 - pyskl - INFO - Best top1_acc is 0.9201 at 53 epoch. +2025-07-02 07:31:48,385 - pyskl - INFO - Epoch(val) [53][450] top1_acc: 0.9201, top5_acc: 0.9928 +2025-07-02 07:32:32,779 - pyskl - INFO - Epoch [54][100/898] lr: 1.803e-02, eta: 4:28:55, time: 0.444, data_time: 0.256, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9900, loss_cls: 0.5289, loss: 0.5289 +2025-07-02 07:32:50,546 - pyskl - INFO - Epoch [54][200/898] lr: 1.801e-02, eta: 4:28:35, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9912, loss_cls: 0.5085, loss: 0.5085 +2025-07-02 07:33:08,845 - pyskl - INFO - Epoch [54][300/898] lr: 1.798e-02, eta: 4:28:16, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9888, loss_cls: 0.5800, loss: 0.5800 +2025-07-02 07:33:26,908 - pyskl - INFO - Epoch [54][400/898] lr: 1.795e-02, eta: 4:27:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9869, loss_cls: 0.5501, loss: 0.5501 +2025-07-02 07:33:44,975 - pyskl - INFO - Epoch [54][500/898] lr: 1.793e-02, eta: 4:27:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8738, top5_acc: 0.9850, loss_cls: 0.6234, loss: 0.6234 +2025-07-02 07:34:03,151 - pyskl - INFO - Epoch [54][600/898] lr: 1.790e-02, eta: 4:27:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8831, top5_acc: 0.9881, loss_cls: 0.5859, loss: 0.5859 +2025-07-02 07:34:21,394 - pyskl - INFO - Epoch [54][700/898] lr: 1.787e-02, eta: 4:26:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9912, loss_cls: 0.5621, loss: 0.5621 +2025-07-02 07:34:39,490 - pyskl - INFO - Epoch [54][800/898] lr: 1.785e-02, eta: 4:26:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8900, top5_acc: 0.9875, loss_cls: 0.5492, loss: 0.5492 +2025-07-02 07:34:57,975 - pyskl - INFO - Saving checkpoint at 54 epochs +2025-07-02 07:35:35,114 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:35:35,142 - pyskl - INFO - +top1_acc 0.9203 +top5_acc 0.9921 +2025-07-02 07:35:35,147 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_53.pth was removed +2025-07-02 07:35:35,337 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. +2025-07-02 07:35:35,338 - pyskl - INFO - Best top1_acc is 0.9203 at 54 epoch. +2025-07-02 07:35:35,339 - pyskl - INFO - Epoch(val) [54][450] top1_acc: 0.9203, top5_acc: 0.9921 +2025-07-02 07:36:17,884 - pyskl - INFO - Epoch [55][100/898] lr: 1.780e-02, eta: 4:26:13, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9938, loss_cls: 0.4573, loss: 0.4573 +2025-07-02 07:36:36,000 - pyskl - INFO - Epoch [55][200/898] lr: 1.777e-02, eta: 4:25:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9862, loss_cls: 0.5967, loss: 0.5967 +2025-07-02 07:36:54,101 - pyskl - INFO - Epoch [55][300/898] lr: 1.774e-02, eta: 4:25:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8856, top5_acc: 0.9888, loss_cls: 0.5639, loss: 0.5639 +2025-07-02 07:37:12,489 - pyskl - INFO - Epoch [55][400/898] lr: 1.772e-02, eta: 4:25:16, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5681, loss: 0.5681 +2025-07-02 07:37:30,668 - pyskl - INFO - Epoch [55][500/898] lr: 1.769e-02, eta: 4:24:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9938, loss_cls: 0.5425, loss: 0.5425 +2025-07-02 07:37:48,707 - pyskl - INFO - Epoch [55][600/898] lr: 1.766e-02, eta: 4:24:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9869, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 07:38:06,866 - pyskl - INFO - Epoch [55][700/898] lr: 1.764e-02, eta: 4:24:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9906, loss_cls: 0.5739, loss: 0.5739 +2025-07-02 07:38:25,402 - pyskl - INFO - Epoch [55][800/898] lr: 1.761e-02, eta: 4:24:00, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8819, top5_acc: 0.9869, loss_cls: 0.5659, loss: 0.5659 +2025-07-02 07:38:43,922 - pyskl - INFO - Saving checkpoint at 55 epochs +2025-07-02 07:39:21,404 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:39:21,428 - pyskl - INFO - +top1_acc 0.9235 +top5_acc 0.9922 +2025-07-02 07:39:21,432 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_54.pth was removed +2025-07-02 07:39:21,640 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_55.pth. +2025-07-02 07:39:21,641 - pyskl - INFO - Best top1_acc is 0.9235 at 55 epoch. +2025-07-02 07:39:21,642 - pyskl - INFO - Epoch(val) [55][450] top1_acc: 0.9235, top5_acc: 0.9922 +2025-07-02 07:40:04,673 - pyskl - INFO - Epoch [56][100/898] lr: 1.756e-02, eta: 4:23:34, time: 0.430, data_time: 0.246, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9881, loss_cls: 0.5347, loss: 0.5347 +2025-07-02 07:40:22,605 - pyskl - INFO - Epoch [56][200/898] lr: 1.753e-02, eta: 4:23:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9900, loss_cls: 0.5172, loss: 0.5172 +2025-07-02 07:40:40,937 - pyskl - INFO - Epoch [56][300/898] lr: 1.750e-02, eta: 4:22:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9888, loss_cls: 0.5543, loss: 0.5543 +2025-07-02 07:40:59,132 - pyskl - INFO - Epoch [56][400/898] lr: 1.748e-02, eta: 4:22:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9925, loss_cls: 0.4732, loss: 0.4732 +2025-07-02 07:41:17,099 - pyskl - INFO - Epoch [56][500/898] lr: 1.745e-02, eta: 4:22:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9912, loss_cls: 0.5368, loss: 0.5368 +2025-07-02 07:41:35,197 - pyskl - INFO - Epoch [56][600/898] lr: 1.742e-02, eta: 4:21:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9881, loss_cls: 0.5233, loss: 0.5233 +2025-07-02 07:41:53,377 - pyskl - INFO - Epoch [56][700/898] lr: 1.740e-02, eta: 4:21:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8906, top5_acc: 0.9869, loss_cls: 0.5519, loss: 0.5519 +2025-07-02 07:42:11,521 - pyskl - INFO - Epoch [56][800/898] lr: 1.737e-02, eta: 4:21:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9888, loss_cls: 0.5879, loss: 0.5879 +2025-07-02 07:42:29,839 - pyskl - INFO - Saving checkpoint at 56 epochs +2025-07-02 07:43:06,949 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:43:06,972 - pyskl - INFO - +top1_acc 0.9246 +top5_acc 0.9925 +2025-07-02 07:43:06,976 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_55.pth was removed +2025-07-02 07:43:07,143 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_56.pth. +2025-07-02 07:43:07,144 - pyskl - INFO - Best top1_acc is 0.9246 at 56 epoch. +2025-07-02 07:43:07,146 - pyskl - INFO - Epoch(val) [56][450] top1_acc: 0.9246, top5_acc: 0.9925 +2025-07-02 07:43:49,836 - pyskl - INFO - Epoch [57][100/898] lr: 1.732e-02, eta: 4:20:52, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9900, loss_cls: 0.5202, loss: 0.5202 +2025-07-02 07:44:07,995 - pyskl - INFO - Epoch [57][200/898] lr: 1.729e-02, eta: 4:20:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.5070, loss: 0.5070 +2025-07-02 07:44:26,052 - pyskl - INFO - Epoch [57][300/898] lr: 1.726e-02, eta: 4:20:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9869, loss_cls: 0.5230, loss: 0.5230 +2025-07-02 07:44:44,549 - pyskl - INFO - Epoch [57][400/898] lr: 1.724e-02, eta: 4:19:54, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8844, top5_acc: 0.9919, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 07:45:02,436 - pyskl - INFO - Epoch [57][500/898] lr: 1.721e-02, eta: 4:19:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9888, loss_cls: 0.5068, loss: 0.5068 +2025-07-02 07:45:20,800 - pyskl - INFO - Epoch [57][600/898] lr: 1.718e-02, eta: 4:19:16, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9950, loss_cls: 0.4917, loss: 0.4917 +2025-07-02 07:45:39,029 - pyskl - INFO - Epoch [57][700/898] lr: 1.716e-02, eta: 4:18:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8962, top5_acc: 0.9931, loss_cls: 0.5427, loss: 0.5427 +2025-07-02 07:45:57,525 - pyskl - INFO - Epoch [57][800/898] lr: 1.713e-02, eta: 4:18:38, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9888, loss_cls: 0.5435, loss: 0.5435 +2025-07-02 07:46:16,129 - pyskl - INFO - Saving checkpoint at 57 epochs +2025-07-02 07:46:54,393 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:46:54,416 - pyskl - INFO - +top1_acc 0.8828 +top5_acc 0.9818 +2025-07-02 07:46:54,417 - pyskl - INFO - Epoch(val) [57][450] top1_acc: 0.8828, top5_acc: 0.9818 +2025-07-02 07:47:36,962 - pyskl - INFO - Epoch [58][100/898] lr: 1.707e-02, eta: 4:18:11, time: 0.425, data_time: 0.240, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9931, loss_cls: 0.5224, loss: 0.5224 +2025-07-02 07:47:55,170 - pyskl - INFO - Epoch [58][200/898] lr: 1.705e-02, eta: 4:17:52, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9938, loss_cls: 0.4770, loss: 0.4770 +2025-07-02 07:48:13,101 - pyskl - INFO - Epoch [58][300/898] lr: 1.702e-02, eta: 4:17:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8931, top5_acc: 0.9869, loss_cls: 0.5535, loss: 0.5535 +2025-07-02 07:48:31,052 - pyskl - INFO - Epoch [58][400/898] lr: 1.699e-02, eta: 4:17:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9912, loss_cls: 0.4984, loss: 0.4984 +2025-07-02 07:48:49,078 - pyskl - INFO - Epoch [58][500/898] lr: 1.697e-02, eta: 4:16:53, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9900, loss_cls: 0.5331, loss: 0.5331 +2025-07-02 07:49:07,232 - pyskl - INFO - Epoch [58][600/898] lr: 1.694e-02, eta: 4:16:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9900, loss_cls: 0.5226, loss: 0.5226 +2025-07-02 07:49:25,249 - pyskl - INFO - Epoch [58][700/898] lr: 1.691e-02, eta: 4:16:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9931, loss_cls: 0.4959, loss: 0.4959 +2025-07-02 07:49:43,439 - pyskl - INFO - Epoch [58][800/898] lr: 1.688e-02, eta: 4:15:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9888, loss_cls: 0.5650, loss: 0.5650 +2025-07-02 07:50:02,206 - pyskl - INFO - Saving checkpoint at 58 epochs +2025-07-02 07:50:40,210 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:50:40,239 - pyskl - INFO - +top1_acc 0.8713 +top5_acc 0.9864 +2025-07-02 07:50:40,242 - pyskl - INFO - Epoch(val) [58][450] top1_acc: 0.8713, top5_acc: 0.9864 +2025-07-02 07:51:22,951 - pyskl - INFO - Epoch [59][100/898] lr: 1.683e-02, eta: 4:15:28, time: 0.427, data_time: 0.243, memory: 2903, top1_acc: 0.8925, top5_acc: 0.9906, loss_cls: 0.5632, loss: 0.5632 +2025-07-02 07:51:40,760 - pyskl - INFO - Epoch [59][200/898] lr: 1.680e-02, eta: 4:15:08, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8969, top5_acc: 0.9906, loss_cls: 0.5546, loss: 0.5546 +2025-07-02 07:51:59,162 - pyskl - INFO - Epoch [59][300/898] lr: 1.678e-02, eta: 4:14:49, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5433, loss: 0.5433 +2025-07-02 07:52:16,933 - pyskl - INFO - Epoch [59][400/898] lr: 1.675e-02, eta: 4:14:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9881, loss_cls: 0.5524, loss: 0.5524 +2025-07-02 07:52:34,861 - pyskl - INFO - Epoch [59][500/898] lr: 1.672e-02, eta: 4:14:10, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8944, top5_acc: 0.9894, loss_cls: 0.5380, loss: 0.5380 +2025-07-02 07:52:52,780 - pyskl - INFO - Epoch [59][600/898] lr: 1.669e-02, eta: 4:13:50, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9931, loss_cls: 0.4363, loss: 0.4363 +2025-07-02 07:53:10,657 - pyskl - INFO - Epoch [59][700/898] lr: 1.667e-02, eta: 4:13:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8950, top5_acc: 0.9869, loss_cls: 0.5418, loss: 0.5418 +2025-07-02 07:53:28,644 - pyskl - INFO - Epoch [59][800/898] lr: 1.664e-02, eta: 4:13:11, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9950, loss_cls: 0.4977, loss: 0.4977 +2025-07-02 07:53:46,952 - pyskl - INFO - Saving checkpoint at 59 epochs +2025-07-02 07:54:23,983 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:54:24,015 - pyskl - INFO - +top1_acc 0.9226 +top5_acc 0.9926 +2025-07-02 07:54:24,018 - pyskl - INFO - Epoch(val) [59][450] top1_acc: 0.9226, top5_acc: 0.9926 +2025-07-02 07:55:06,998 - pyskl - INFO - Epoch [60][100/898] lr: 1.658e-02, eta: 4:12:44, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9006, top5_acc: 0.9900, loss_cls: 0.4974, loss: 0.4974 +2025-07-02 07:55:24,928 - pyskl - INFO - Epoch [60][200/898] lr: 1.656e-02, eta: 4:12:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9019, top5_acc: 0.9900, loss_cls: 0.5124, loss: 0.5124 +2025-07-02 07:55:42,917 - pyskl - INFO - Epoch [60][300/898] lr: 1.653e-02, eta: 4:12:05, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9944, loss_cls: 0.4918, loss: 0.4918 +2025-07-02 07:56:00,835 - pyskl - INFO - Epoch [60][400/898] lr: 1.650e-02, eta: 4:11:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8956, top5_acc: 0.9888, loss_cls: 0.5443, loss: 0.5443 +2025-07-02 07:56:18,649 - pyskl - INFO - Epoch [60][500/898] lr: 1.647e-02, eta: 4:11:25, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5138, loss: 0.5138 +2025-07-02 07:56:36,602 - pyskl - INFO - Epoch [60][600/898] lr: 1.645e-02, eta: 4:11:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9875, loss_cls: 0.5251, loss: 0.5251 +2025-07-02 07:56:54,290 - pyskl - INFO - Epoch [60][700/898] lr: 1.642e-02, eta: 4:10:46, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9912, loss_cls: 0.4594, loss: 0.4594 +2025-07-02 07:57:12,369 - pyskl - INFO - Epoch [60][800/898] lr: 1.639e-02, eta: 4:10:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8862, top5_acc: 0.9881, loss_cls: 0.6020, loss: 0.6020 +2025-07-02 07:57:30,877 - pyskl - INFO - Saving checkpoint at 60 epochs +2025-07-02 07:58:08,172 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 07:58:08,200 - pyskl - INFO - +top1_acc 0.9132 +top5_acc 0.9903 +2025-07-02 07:58:08,202 - pyskl - INFO - Epoch(val) [60][450] top1_acc: 0.9132, top5_acc: 0.9903 +2025-07-02 07:58:52,067 - pyskl - INFO - Epoch [61][100/898] lr: 1.634e-02, eta: 4:10:01, time: 0.439, data_time: 0.254, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9906, loss_cls: 0.4721, loss: 0.4721 +2025-07-02 07:59:10,094 - pyskl - INFO - Epoch [61][200/898] lr: 1.631e-02, eta: 4:09:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8988, top5_acc: 0.9906, loss_cls: 0.5299, loss: 0.5299 +2025-07-02 07:59:28,094 - pyskl - INFO - Epoch [61][300/898] lr: 1.628e-02, eta: 4:09:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9919, loss_cls: 0.5000, loss: 0.5000 +2025-07-02 07:59:46,064 - pyskl - INFO - Epoch [61][400/898] lr: 1.625e-02, eta: 4:09:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9900, loss_cls: 0.5018, loss: 0.5018 +2025-07-02 08:00:03,817 - pyskl - INFO - Epoch [61][500/898] lr: 1.622e-02, eta: 4:08:42, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8881, top5_acc: 0.9888, loss_cls: 0.5390, loss: 0.5390 +2025-07-02 08:00:22,026 - pyskl - INFO - Epoch [61][600/898] lr: 1.620e-02, eta: 4:08:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8938, top5_acc: 0.9912, loss_cls: 0.5152, loss: 0.5152 +2025-07-02 08:00:39,926 - pyskl - INFO - Epoch [61][700/898] lr: 1.617e-02, eta: 4:08:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9000, top5_acc: 0.9938, loss_cls: 0.5056, loss: 0.5056 +2025-07-02 08:00:57,963 - pyskl - INFO - Epoch [61][800/898] lr: 1.614e-02, eta: 4:07:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9962, loss_cls: 0.5003, loss: 0.5003 +2025-07-02 08:01:16,573 - pyskl - INFO - Saving checkpoint at 61 epochs +2025-07-02 08:01:53,967 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:01:53,992 - pyskl - INFO - +top1_acc 0.9146 +top5_acc 0.9910 +2025-07-02 08:01:53,993 - pyskl - INFO - Epoch(val) [61][450] top1_acc: 0.9146, top5_acc: 0.9910 +2025-07-02 08:02:37,406 - pyskl - INFO - Epoch [62][100/898] lr: 1.609e-02, eta: 4:07:17, time: 0.434, data_time: 0.250, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9950, loss_cls: 0.4869, loss: 0.4869 +2025-07-02 08:02:55,488 - pyskl - INFO - Epoch [62][200/898] lr: 1.606e-02, eta: 4:06:58, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9944, loss_cls: 0.4692, loss: 0.4692 +2025-07-02 08:03:13,409 - pyskl - INFO - Epoch [62][300/898] lr: 1.603e-02, eta: 4:06:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4396, loss: 0.4396 +2025-07-02 08:03:31,332 - pyskl - INFO - Epoch [62][400/898] lr: 1.600e-02, eta: 4:06:19, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9881, loss_cls: 0.5219, loss: 0.5219 +2025-07-02 08:03:49,269 - pyskl - INFO - Epoch [62][500/898] lr: 1.597e-02, eta: 4:05:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9919, loss_cls: 0.5267, loss: 0.5267 +2025-07-02 08:04:06,958 - pyskl - INFO - Epoch [62][600/898] lr: 1.595e-02, eta: 4:05:39, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9081, top5_acc: 0.9944, loss_cls: 0.4780, loss: 0.4780 +2025-07-02 08:04:24,910 - pyskl - INFO - Epoch [62][700/898] lr: 1.592e-02, eta: 4:05:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8794, top5_acc: 0.9831, loss_cls: 0.5882, loss: 0.5882 +2025-07-02 08:04:43,078 - pyskl - INFO - Epoch [62][800/898] lr: 1.589e-02, eta: 4:05:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9900, loss_cls: 0.4971, loss: 0.4971 +2025-07-02 08:05:01,562 - pyskl - INFO - Saving checkpoint at 62 epochs +2025-07-02 08:05:39,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:05:39,224 - pyskl - INFO - +top1_acc 0.9206 +top5_acc 0.9937 +2025-07-02 08:05:39,225 - pyskl - INFO - Epoch(val) [62][450] top1_acc: 0.9206, top5_acc: 0.9937 +2025-07-02 08:06:22,052 - pyskl - INFO - Epoch [63][100/898] lr: 1.583e-02, eta: 4:04:32, time: 0.428, data_time: 0.245, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.5073, loss: 0.5073 +2025-07-02 08:06:39,819 - pyskl - INFO - Epoch [63][200/898] lr: 1.581e-02, eta: 4:04:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9912, loss_cls: 0.4708, loss: 0.4708 +2025-07-02 08:06:58,018 - pyskl - INFO - Epoch [63][300/898] lr: 1.578e-02, eta: 4:03:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9031, top5_acc: 0.9856, loss_cls: 0.5142, loss: 0.5142 +2025-07-02 08:07:16,190 - pyskl - INFO - Epoch [63][400/898] lr: 1.575e-02, eta: 4:03:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9875, loss_cls: 0.4889, loss: 0.4889 +2025-07-02 08:07:34,195 - pyskl - INFO - Epoch [63][500/898] lr: 1.572e-02, eta: 4:03:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.5193, loss: 0.5193 +2025-07-02 08:07:52,297 - pyskl - INFO - Epoch [63][600/898] lr: 1.569e-02, eta: 4:02:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8869, top5_acc: 0.9900, loss_cls: 0.5589, loss: 0.5589 +2025-07-02 08:08:09,869 - pyskl - INFO - Epoch [63][700/898] lr: 1.566e-02, eta: 4:02:36, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.8894, top5_acc: 0.9906, loss_cls: 0.5680, loss: 0.5680 +2025-07-02 08:08:28,092 - pyskl - INFO - Epoch [63][800/898] lr: 1.564e-02, eta: 4:02:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.8975, top5_acc: 0.9900, loss_cls: 0.4898, loss: 0.4898 +2025-07-02 08:08:46,327 - pyskl - INFO - Saving checkpoint at 63 epochs +2025-07-02 08:09:23,836 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:09:23,866 - pyskl - INFO - +top1_acc 0.8130 +top5_acc 0.9681 +2025-07-02 08:09:23,867 - pyskl - INFO - Epoch(val) [63][450] top1_acc: 0.8130, top5_acc: 0.9681 +2025-07-02 08:10:07,185 - pyskl - INFO - Epoch [64][100/898] lr: 1.558e-02, eta: 4:01:49, time: 0.433, data_time: 0.247, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9969, loss_cls: 0.4238, loss: 0.4238 +2025-07-02 08:10:25,013 - pyskl - INFO - Epoch [64][200/898] lr: 1.555e-02, eta: 4:01:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9912, loss_cls: 0.4920, loss: 0.4920 +2025-07-02 08:10:43,063 - pyskl - INFO - Epoch [64][300/898] lr: 1.552e-02, eta: 4:01:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9912, loss_cls: 0.5016, loss: 0.5016 +2025-07-02 08:11:01,339 - pyskl - INFO - Epoch [64][400/898] lr: 1.550e-02, eta: 4:00:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9931, loss_cls: 0.4553, loss: 0.4553 +2025-07-02 08:11:19,158 - pyskl - INFO - Epoch [64][500/898] lr: 1.547e-02, eta: 4:00:31, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9931, loss_cls: 0.4707, loss: 0.4707 +2025-07-02 08:11:37,795 - pyskl - INFO - Epoch [64][600/898] lr: 1.544e-02, eta: 4:00:13, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9888, loss_cls: 0.4192, loss: 0.4192 +2025-07-02 08:11:55,580 - pyskl - INFO - Epoch [64][700/898] lr: 1.541e-02, eta: 3:59:53, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9906, loss_cls: 0.4585, loss: 0.4585 +2025-07-02 08:12:13,372 - pyskl - INFO - Epoch [64][800/898] lr: 1.538e-02, eta: 3:59:33, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.8994, top5_acc: 0.9938, loss_cls: 0.5087, loss: 0.5087 +2025-07-02 08:12:31,563 - pyskl - INFO - Saving checkpoint at 64 epochs +2025-07-02 08:13:08,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:13:08,656 - pyskl - INFO - +top1_acc 0.9306 +top5_acc 0.9939 +2025-07-02 08:13:08,660 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_56.pth was removed +2025-07-02 08:13:08,831 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_64.pth. +2025-07-02 08:13:08,832 - pyskl - INFO - Best top1_acc is 0.9306 at 64 epoch. +2025-07-02 08:13:08,833 - pyskl - INFO - Epoch(val) [64][450] top1_acc: 0.9306, top5_acc: 0.9939 +2025-07-02 08:13:51,405 - pyskl - INFO - Epoch [65][100/898] lr: 1.533e-02, eta: 3:59:04, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9919, loss_cls: 0.4417, loss: 0.4417 +2025-07-02 08:14:09,149 - pyskl - INFO - Epoch [65][200/898] lr: 1.530e-02, eta: 3:58:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4939, loss: 0.4939 +2025-07-02 08:14:26,879 - pyskl - INFO - Epoch [65][300/898] lr: 1.527e-02, eta: 3:58:25, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4485, loss: 0.4485 +2025-07-02 08:14:44,856 - pyskl - INFO - Epoch [65][400/898] lr: 1.524e-02, eta: 3:58:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9919, loss_cls: 0.4572, loss: 0.4572 +2025-07-02 08:15:02,995 - pyskl - INFO - Epoch [65][500/898] lr: 1.521e-02, eta: 3:57:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9912, loss_cls: 0.4747, loss: 0.4747 +2025-07-02 08:15:21,240 - pyskl - INFO - Epoch [65][600/898] lr: 1.518e-02, eta: 3:57:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9912, loss_cls: 0.4926, loss: 0.4926 +2025-07-02 08:15:38,991 - pyskl - INFO - Epoch [65][700/898] lr: 1.516e-02, eta: 3:57:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9919, loss_cls: 0.4822, loss: 0.4822 +2025-07-02 08:15:57,069 - pyskl - INFO - Epoch [65][800/898] lr: 1.513e-02, eta: 3:56:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.8912, top5_acc: 0.9869, loss_cls: 0.5601, loss: 0.5601 +2025-07-02 08:16:15,667 - pyskl - INFO - Saving checkpoint at 65 epochs +2025-07-02 08:16:53,455 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:16:53,486 - pyskl - INFO - +top1_acc 0.9322 +top5_acc 0.9939 +2025-07-02 08:16:53,491 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_64.pth was removed +2025-07-02 08:16:53,687 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_65.pth. +2025-07-02 08:16:53,688 - pyskl - INFO - Best top1_acc is 0.9322 at 65 epoch. +2025-07-02 08:16:53,690 - pyskl - INFO - Epoch(val) [65][450] top1_acc: 0.9322, top5_acc: 0.9939 +2025-07-02 08:17:36,042 - pyskl - INFO - Epoch [66][100/898] lr: 1.507e-02, eta: 3:56:18, time: 0.423, data_time: 0.240, memory: 2903, top1_acc: 0.9062, top5_acc: 0.9900, loss_cls: 0.4982, loss: 0.4982 +2025-07-02 08:17:54,106 - pyskl - INFO - Epoch [66][200/898] lr: 1.504e-02, eta: 3:55:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9944, loss_cls: 0.4829, loss: 0.4829 +2025-07-02 08:18:12,260 - pyskl - INFO - Epoch [66][300/898] lr: 1.501e-02, eta: 3:55:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9912, loss_cls: 0.4340, loss: 0.4340 +2025-07-02 08:18:30,914 - pyskl - INFO - Epoch [66][400/898] lr: 1.499e-02, eta: 3:55:21, time: 0.187, data_time: 0.001, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9938, loss_cls: 0.4470, loss: 0.4470 +2025-07-02 08:18:49,245 - pyskl - INFO - Epoch [66][500/898] lr: 1.496e-02, eta: 3:55:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9925, loss_cls: 0.4531, loss: 0.4531 +2025-07-02 08:19:07,868 - pyskl - INFO - Epoch [66][600/898] lr: 1.493e-02, eta: 3:54:44, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9888, loss_cls: 0.5118, loss: 0.5118 +2025-07-02 08:19:25,799 - pyskl - INFO - Epoch [66][700/898] lr: 1.490e-02, eta: 3:54:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9906, loss_cls: 0.4711, loss: 0.4711 +2025-07-02 08:19:44,112 - pyskl - INFO - Epoch [66][800/898] lr: 1.487e-02, eta: 3:54:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9881, loss_cls: 0.4934, loss: 0.4934 +2025-07-02 08:20:02,252 - pyskl - INFO - Saving checkpoint at 66 epochs +2025-07-02 08:20:39,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:20:39,658 - pyskl - INFO - +top1_acc 0.7267 +top5_acc 0.9446 +2025-07-02 08:20:39,660 - pyskl - INFO - Epoch(val) [66][450] top1_acc: 0.7267, top5_acc: 0.9446 +2025-07-02 08:21:22,867 - pyskl - INFO - Epoch [67][100/898] lr: 1.481e-02, eta: 3:53:37, time: 0.432, data_time: 0.244, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.4329, loss: 0.4329 +2025-07-02 08:21:41,173 - pyskl - INFO - Epoch [67][200/898] lr: 1.479e-02, eta: 3:53:18, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4231, loss: 0.4231 +2025-07-02 08:21:59,297 - pyskl - INFO - Epoch [67][300/898] lr: 1.476e-02, eta: 3:52:59, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9156, top5_acc: 0.9944, loss_cls: 0.4314, loss: 0.4314 +2025-07-02 08:22:17,112 - pyskl - INFO - Epoch [67][400/898] lr: 1.473e-02, eta: 3:52:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9044, top5_acc: 0.9925, loss_cls: 0.4988, loss: 0.4988 +2025-07-02 08:22:35,296 - pyskl - INFO - Epoch [67][500/898] lr: 1.470e-02, eta: 3:52:20, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9938, loss_cls: 0.4544, loss: 0.4544 +2025-07-02 08:22:53,543 - pyskl - INFO - Epoch [67][600/898] lr: 1.467e-02, eta: 3:52:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9938, loss_cls: 0.4345, loss: 0.4345 +2025-07-02 08:23:11,186 - pyskl - INFO - Epoch [67][700/898] lr: 1.464e-02, eta: 3:51:41, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9912, loss_cls: 0.4640, loss: 0.4640 +2025-07-02 08:23:29,168 - pyskl - INFO - Epoch [67][800/898] lr: 1.461e-02, eta: 3:51:22, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9900, loss_cls: 0.4279, loss: 0.4279 +2025-07-02 08:23:47,790 - pyskl - INFO - Saving checkpoint at 67 epochs +2025-07-02 08:24:25,497 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:24:25,539 - pyskl - INFO - +top1_acc 0.9331 +top5_acc 0.9940 +2025-07-02 08:24:25,546 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_65.pth was removed +2025-07-02 08:24:25,799 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_67.pth. +2025-07-02 08:24:25,799 - pyskl - INFO - Best top1_acc is 0.9331 at 67 epoch. +2025-07-02 08:24:25,802 - pyskl - INFO - Epoch(val) [67][450] top1_acc: 0.9331, top5_acc: 0.9940 +2025-07-02 08:25:08,713 - pyskl - INFO - Epoch [68][100/898] lr: 1.456e-02, eta: 3:50:52, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9912, loss_cls: 0.4316, loss: 0.4316 +2025-07-02 08:25:26,608 - pyskl - INFO - Epoch [68][200/898] lr: 1.453e-02, eta: 3:50:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9900, loss_cls: 0.4801, loss: 0.4801 +2025-07-02 08:25:44,658 - pyskl - INFO - Epoch [68][300/898] lr: 1.450e-02, eta: 3:50:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9919, loss_cls: 0.4464, loss: 0.4464 +2025-07-02 08:26:02,703 - pyskl - INFO - Epoch [68][400/898] lr: 1.447e-02, eta: 3:49:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.4101, loss: 0.4101 +2025-07-02 08:26:20,624 - pyskl - INFO - Epoch [68][500/898] lr: 1.444e-02, eta: 3:49:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9888, loss_cls: 0.4530, loss: 0.4530 +2025-07-02 08:26:38,635 - pyskl - INFO - Epoch [68][600/898] lr: 1.441e-02, eta: 3:49:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9094, top5_acc: 0.9925, loss_cls: 0.4661, loss: 0.4661 +2025-07-02 08:26:56,387 - pyskl - INFO - Epoch [68][700/898] lr: 1.438e-02, eta: 3:48:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9912, loss_cls: 0.4163, loss: 0.4163 +2025-07-02 08:27:14,454 - pyskl - INFO - Epoch [68][800/898] lr: 1.435e-02, eta: 3:48:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9906, loss_cls: 0.4821, loss: 0.4821 +2025-07-02 08:27:32,917 - pyskl - INFO - Saving checkpoint at 68 epochs +2025-07-02 08:28:10,313 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:28:10,336 - pyskl - INFO - +top1_acc 0.9253 +top5_acc 0.9917 +2025-07-02 08:28:10,337 - pyskl - INFO - Epoch(val) [68][450] top1_acc: 0.9253, top5_acc: 0.9917 +2025-07-02 08:28:53,418 - pyskl - INFO - Epoch [69][100/898] lr: 1.430e-02, eta: 3:48:07, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9919, loss_cls: 0.4572, loss: 0.4572 +2025-07-02 08:29:11,346 - pyskl - INFO - Epoch [69][200/898] lr: 1.427e-02, eta: 3:47:48, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9944, loss_cls: 0.4358, loss: 0.4358 +2025-07-02 08:29:29,511 - pyskl - INFO - Epoch [69][300/898] lr: 1.424e-02, eta: 3:47:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9912, loss_cls: 0.4177, loss: 0.4177 +2025-07-02 08:29:47,127 - pyskl - INFO - Epoch [69][400/898] lr: 1.421e-02, eta: 3:47:09, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.4559, loss: 0.4559 +2025-07-02 08:30:04,870 - pyskl - INFO - Epoch [69][500/898] lr: 1.418e-02, eta: 3:46:49, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9906, loss_cls: 0.4577, loss: 0.4577 +2025-07-02 08:30:23,040 - pyskl - INFO - Epoch [69][600/898] lr: 1.415e-02, eta: 3:46:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9150, top5_acc: 0.9906, loss_cls: 0.4303, loss: 0.4303 +2025-07-02 08:30:40,942 - pyskl - INFO - Epoch [69][700/898] lr: 1.412e-02, eta: 3:46:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9025, top5_acc: 0.9906, loss_cls: 0.5006, loss: 0.5006 +2025-07-02 08:30:58,796 - pyskl - INFO - Epoch [69][800/898] lr: 1.410e-02, eta: 3:45:51, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.8981, top5_acc: 0.9888, loss_cls: 0.4871, loss: 0.4871 +2025-07-02 08:31:17,605 - pyskl - INFO - Saving checkpoint at 69 epochs +2025-07-02 08:31:56,063 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:31:56,094 - pyskl - INFO - +top1_acc 0.9247 +top5_acc 0.9917 +2025-07-02 08:31:56,096 - pyskl - INFO - Epoch(val) [69][450] top1_acc: 0.9247, top5_acc: 0.9917 +2025-07-02 08:32:39,864 - pyskl - INFO - Epoch [70][100/898] lr: 1.404e-02, eta: 3:45:22, time: 0.438, data_time: 0.253, memory: 2903, top1_acc: 0.9237, top5_acc: 0.9950, loss_cls: 0.4088, loss: 0.4088 +2025-07-02 08:32:57,923 - pyskl - INFO - Epoch [70][200/898] lr: 1.401e-02, eta: 3:45:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9944, loss_cls: 0.3691, loss: 0.3691 +2025-07-02 08:33:15,981 - pyskl - INFO - Epoch [70][300/898] lr: 1.398e-02, eta: 3:44:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9012, top5_acc: 0.9931, loss_cls: 0.4752, loss: 0.4752 +2025-07-02 08:33:34,299 - pyskl - INFO - Epoch [70][400/898] lr: 1.395e-02, eta: 3:44:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9950, loss_cls: 0.4431, loss: 0.4431 +2025-07-02 08:33:52,361 - pyskl - INFO - Epoch [70][500/898] lr: 1.392e-02, eta: 3:44:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9956, loss_cls: 0.4191, loss: 0.4191 +2025-07-02 08:34:10,570 - pyskl - INFO - Epoch [70][600/898] lr: 1.389e-02, eta: 3:43:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9888, loss_cls: 0.4750, loss: 0.4750 +2025-07-02 08:34:28,709 - pyskl - INFO - Epoch [70][700/898] lr: 1.386e-02, eta: 3:43:27, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9919, loss_cls: 0.4577, loss: 0.4577 +2025-07-02 08:34:46,669 - pyskl - INFO - Epoch [70][800/898] lr: 1.384e-02, eta: 3:43:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9100, top5_acc: 0.9894, loss_cls: 0.4664, loss: 0.4664 +2025-07-02 08:35:05,094 - pyskl - INFO - Saving checkpoint at 70 epochs +2025-07-02 08:35:41,652 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:35:41,674 - pyskl - INFO - +top1_acc 0.9359 +top5_acc 0.9944 +2025-07-02 08:35:41,679 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_67.pth was removed +2025-07-02 08:35:41,844 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_70.pth. +2025-07-02 08:35:41,844 - pyskl - INFO - Best top1_acc is 0.9359 at 70 epoch. +2025-07-02 08:35:41,846 - pyskl - INFO - Epoch(val) [70][450] top1_acc: 0.9359, top5_acc: 0.9944 +2025-07-02 08:36:24,948 - pyskl - INFO - Epoch [71][100/898] lr: 1.378e-02, eta: 3:42:38, time: 0.431, data_time: 0.247, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9938, loss_cls: 0.3696, loss: 0.3696 +2025-07-02 08:36:43,051 - pyskl - INFO - Epoch [71][200/898] lr: 1.375e-02, eta: 3:42:19, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9931, loss_cls: 0.4020, loss: 0.4020 +2025-07-02 08:37:01,335 - pyskl - INFO - Epoch [71][300/898] lr: 1.372e-02, eta: 3:42:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9912, loss_cls: 0.4619, loss: 0.4619 +2025-07-02 08:37:19,470 - pyskl - INFO - Epoch [71][400/898] lr: 1.369e-02, eta: 3:41:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9075, top5_acc: 0.9950, loss_cls: 0.4604, loss: 0.4604 +2025-07-02 08:37:37,207 - pyskl - INFO - Epoch [71][500/898] lr: 1.366e-02, eta: 3:41:21, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9919, loss_cls: 0.4522, loss: 0.4522 +2025-07-02 08:37:55,276 - pyskl - INFO - Epoch [71][600/898] lr: 1.363e-02, eta: 3:41:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9269, top5_acc: 0.9912, loss_cls: 0.4128, loss: 0.4128 +2025-07-02 08:38:13,226 - pyskl - INFO - Epoch [71][700/898] lr: 1.360e-02, eta: 3:40:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9169, top5_acc: 0.9931, loss_cls: 0.4457, loss: 0.4457 +2025-07-02 08:38:31,121 - pyskl - INFO - Epoch [71][800/898] lr: 1.357e-02, eta: 3:40:23, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9056, top5_acc: 0.9919, loss_cls: 0.4619, loss: 0.4619 +2025-07-02 08:38:49,449 - pyskl - INFO - Saving checkpoint at 71 epochs +2025-07-02 08:39:26,595 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:39:26,618 - pyskl - INFO - +top1_acc 0.9189 +top5_acc 0.9929 +2025-07-02 08:39:26,618 - pyskl - INFO - Epoch(val) [71][450] top1_acc: 0.9189, top5_acc: 0.9929 +2025-07-02 08:40:08,246 - pyskl - INFO - Epoch [72][100/898] lr: 1.352e-02, eta: 3:39:52, time: 0.416, data_time: 0.237, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9956, loss_cls: 0.4433, loss: 0.4433 +2025-07-02 08:40:26,157 - pyskl - INFO - Epoch [72][200/898] lr: 1.349e-02, eta: 3:39:32, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9931, loss_cls: 0.3900, loss: 0.3900 +2025-07-02 08:40:43,970 - pyskl - INFO - Epoch [72][300/898] lr: 1.346e-02, eta: 3:39:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9069, top5_acc: 0.9931, loss_cls: 0.4578, loss: 0.4578 +2025-07-02 08:41:01,837 - pyskl - INFO - Epoch [72][400/898] lr: 1.343e-02, eta: 3:38:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9888, loss_cls: 0.4573, loss: 0.4573 +2025-07-02 08:41:19,853 - pyskl - INFO - Epoch [72][500/898] lr: 1.340e-02, eta: 3:38:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9931, loss_cls: 0.4626, loss: 0.4626 +2025-07-02 08:41:38,105 - pyskl - INFO - Epoch [72][600/898] lr: 1.337e-02, eta: 3:38:15, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9938, loss_cls: 0.4248, loss: 0.4248 +2025-07-02 08:41:55,888 - pyskl - INFO - Epoch [72][700/898] lr: 1.334e-02, eta: 3:37:55, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9912, loss_cls: 0.4215, loss: 0.4215 +2025-07-02 08:42:13,903 - pyskl - INFO - Epoch [72][800/898] lr: 1.331e-02, eta: 3:37:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9144, top5_acc: 0.9894, loss_cls: 0.4620, loss: 0.4620 +2025-07-02 08:42:32,971 - pyskl - INFO - Saving checkpoint at 72 epochs +2025-07-02 08:43:10,194 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:43:10,221 - pyskl - INFO - +top1_acc 0.9175 +top5_acc 0.9937 +2025-07-02 08:43:10,222 - pyskl - INFO - Epoch(val) [72][450] top1_acc: 0.9175, top5_acc: 0.9937 +2025-07-02 08:43:52,589 - pyskl - INFO - Epoch [73][100/898] lr: 1.326e-02, eta: 3:37:05, time: 0.424, data_time: 0.241, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9944, loss_cls: 0.4717, loss: 0.4717 +2025-07-02 08:44:10,693 - pyskl - INFO - Epoch [73][200/898] lr: 1.323e-02, eta: 3:36:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9125, top5_acc: 0.9862, loss_cls: 0.4732, loss: 0.4732 +2025-07-02 08:44:28,506 - pyskl - INFO - Epoch [73][300/898] lr: 1.320e-02, eta: 3:36:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9925, loss_cls: 0.4113, loss: 0.4113 +2025-07-02 08:44:46,279 - pyskl - INFO - Epoch [73][400/898] lr: 1.317e-02, eta: 3:36:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9087, top5_acc: 0.9900, loss_cls: 0.4587, loss: 0.4587 +2025-07-02 08:45:04,377 - pyskl - INFO - Epoch [73][500/898] lr: 1.314e-02, eta: 3:35:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9906, loss_cls: 0.4503, loss: 0.4503 +2025-07-02 08:45:22,658 - pyskl - INFO - Epoch [73][600/898] lr: 1.311e-02, eta: 3:35:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9931, loss_cls: 0.4030, loss: 0.4030 +2025-07-02 08:45:40,942 - pyskl - INFO - Epoch [73][700/898] lr: 1.308e-02, eta: 3:35:10, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9137, top5_acc: 0.9925, loss_cls: 0.4392, loss: 0.4392 +2025-07-02 08:45:58,761 - pyskl - INFO - Epoch [73][800/898] lr: 1.305e-02, eta: 3:34:51, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9231, top5_acc: 0.9956, loss_cls: 0.4064, loss: 0.4064 +2025-07-02 08:46:17,440 - pyskl - INFO - Saving checkpoint at 73 epochs +2025-07-02 08:46:54,487 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:46:54,515 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9935 +2025-07-02 08:46:54,516 - pyskl - INFO - Epoch(val) [73][450] top1_acc: 0.9274, top5_acc: 0.9935 +2025-07-02 08:47:36,923 - pyskl - INFO - Epoch [74][100/898] lr: 1.299e-02, eta: 3:34:19, time: 0.424, data_time: 0.239, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 08:47:54,722 - pyskl - INFO - Epoch [74][200/898] lr: 1.297e-02, eta: 3:34:00, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9894, loss_cls: 0.4019, loss: 0.4019 +2025-07-02 08:48:12,724 - pyskl - INFO - Epoch [74][300/898] lr: 1.294e-02, eta: 3:33:41, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9969, loss_cls: 0.3811, loss: 0.3811 +2025-07-02 08:48:30,616 - pyskl - INFO - Epoch [74][400/898] lr: 1.291e-02, eta: 3:33:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9931, loss_cls: 0.4004, loss: 0.4004 +2025-07-02 08:48:48,586 - pyskl - INFO - Epoch [74][500/898] lr: 1.288e-02, eta: 3:33:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4070, loss: 0.4070 +2025-07-02 08:49:06,805 - pyskl - INFO - Epoch [74][600/898] lr: 1.285e-02, eta: 3:32:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9919, loss_cls: 0.4123, loss: 0.4123 +2025-07-02 08:49:24,684 - pyskl - INFO - Epoch [74][700/898] lr: 1.282e-02, eta: 3:32:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9969, loss_cls: 0.3837, loss: 0.3837 +2025-07-02 08:49:42,621 - pyskl - INFO - Epoch [74][800/898] lr: 1.279e-02, eta: 3:32:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9187, top5_acc: 0.9906, loss_cls: 0.4284, loss: 0.4284 +2025-07-02 08:50:00,907 - pyskl - INFO - Saving checkpoint at 74 epochs +2025-07-02 08:50:38,761 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:50:38,793 - pyskl - INFO - +top1_acc 0.9276 +top5_acc 0.9932 +2025-07-02 08:50:38,795 - pyskl - INFO - Epoch(val) [74][450] top1_acc: 0.9276, top5_acc: 0.9932 +2025-07-02 08:51:20,955 - pyskl - INFO - Epoch [75][100/898] lr: 1.273e-02, eta: 3:31:33, time: 0.422, data_time: 0.238, memory: 2903, top1_acc: 0.9244, top5_acc: 0.9931, loss_cls: 0.4351, loss: 0.4351 +2025-07-02 08:51:38,916 - pyskl - INFO - Epoch [75][200/898] lr: 1.270e-02, eta: 3:31:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9931, loss_cls: 0.3641, loss: 0.3641 +2025-07-02 08:51:57,053 - pyskl - INFO - Epoch [75][300/898] lr: 1.267e-02, eta: 3:30:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9956, loss_cls: 0.4012, loss: 0.4012 +2025-07-02 08:52:15,462 - pyskl - INFO - Epoch [75][400/898] lr: 1.265e-02, eta: 3:30:36, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9969, loss_cls: 0.4092, loss: 0.4092 +2025-07-02 08:52:33,265 - pyskl - INFO - Epoch [75][500/898] lr: 1.262e-02, eta: 3:30:16, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9962, loss_cls: 0.3803, loss: 0.3803 +2025-07-02 08:52:51,390 - pyskl - INFO - Epoch [75][600/898] lr: 1.259e-02, eta: 3:29:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.4086, loss: 0.4086 +2025-07-02 08:53:09,246 - pyskl - INFO - Epoch [75][700/898] lr: 1.256e-02, eta: 3:29:38, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9106, top5_acc: 0.9881, loss_cls: 0.4700, loss: 0.4700 +2025-07-02 08:53:27,029 - pyskl - INFO - Epoch [75][800/898] lr: 1.253e-02, eta: 3:29:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9931, loss_cls: 0.4455, loss: 0.4455 +2025-07-02 08:53:45,438 - pyskl - INFO - Saving checkpoint at 75 epochs +2025-07-02 08:54:23,466 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:54:23,491 - pyskl - INFO - +top1_acc 0.7779 +top5_acc 0.9627 +2025-07-02 08:54:23,493 - pyskl - INFO - Epoch(val) [75][450] top1_acc: 0.7779, top5_acc: 0.9627 +2025-07-02 08:55:05,984 - pyskl - INFO - Epoch [76][100/898] lr: 1.247e-02, eta: 3:28:47, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9931, loss_cls: 0.3737, loss: 0.3737 +2025-07-02 08:55:24,203 - pyskl - INFO - Epoch [76][200/898] lr: 1.244e-02, eta: 3:28:28, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9938, loss_cls: 0.3502, loss: 0.3502 +2025-07-02 08:55:42,308 - pyskl - INFO - Epoch [76][300/898] lr: 1.241e-02, eta: 3:28:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9962, loss_cls: 0.3784, loss: 0.3784 +2025-07-02 08:56:00,475 - pyskl - INFO - Epoch [76][400/898] lr: 1.238e-02, eta: 3:27:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3632, loss: 0.3632 +2025-07-02 08:56:18,346 - pyskl - INFO - Epoch [76][500/898] lr: 1.235e-02, eta: 3:27:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9931, loss_cls: 0.4355, loss: 0.4355 +2025-07-02 08:56:36,641 - pyskl - INFO - Epoch [76][600/898] lr: 1.233e-02, eta: 3:27:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9938, loss_cls: 0.4476, loss: 0.4476 +2025-07-02 08:56:54,645 - pyskl - INFO - Epoch [76][700/898] lr: 1.230e-02, eta: 3:26:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9119, top5_acc: 0.9900, loss_cls: 0.4346, loss: 0.4346 +2025-07-02 08:57:12,618 - pyskl - INFO - Epoch [76][800/898] lr: 1.227e-02, eta: 3:26:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9906, loss_cls: 0.3931, loss: 0.3931 +2025-07-02 08:57:30,954 - pyskl - INFO - Saving checkpoint at 76 epochs +2025-07-02 08:58:08,991 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 08:58:09,014 - pyskl - INFO - +top1_acc 0.9315 +top5_acc 0.9922 +2025-07-02 08:58:09,015 - pyskl - INFO - Epoch(val) [76][450] top1_acc: 0.9315, top5_acc: 0.9922 +2025-07-02 08:58:52,354 - pyskl - INFO - Epoch [77][100/898] lr: 1.221e-02, eta: 3:26:02, time: 0.433, data_time: 0.251, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9962, loss_cls: 0.4033, loss: 0.4033 +2025-07-02 08:59:10,077 - pyskl - INFO - Epoch [77][200/898] lr: 1.218e-02, eta: 3:25:43, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3722, loss: 0.3722 +2025-07-02 08:59:28,117 - pyskl - INFO - Epoch [77][300/898] lr: 1.215e-02, eta: 3:25:23, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9956, loss_cls: 0.3515, loss: 0.3515 +2025-07-02 08:59:46,065 - pyskl - INFO - Epoch [77][400/898] lr: 1.212e-02, eta: 3:25:04, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9200, top5_acc: 0.9938, loss_cls: 0.4021, loss: 0.4021 +2025-07-02 09:00:04,057 - pyskl - INFO - Epoch [77][500/898] lr: 1.209e-02, eta: 3:24:45, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9975, loss_cls: 0.3762, loss: 0.3762 +2025-07-02 09:00:22,492 - pyskl - INFO - Epoch [77][600/898] lr: 1.206e-02, eta: 3:24:26, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9950, loss_cls: 0.3793, loss: 0.3793 +2025-07-02 09:00:40,868 - pyskl - INFO - Epoch [77][700/898] lr: 1.203e-02, eta: 3:24:07, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9919, loss_cls: 0.3972, loss: 0.3972 +2025-07-02 09:00:58,831 - pyskl - INFO - Epoch [77][800/898] lr: 1.201e-02, eta: 3:23:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9950, loss_cls: 0.3665, loss: 0.3665 +2025-07-02 09:01:17,242 - pyskl - INFO - Saving checkpoint at 77 epochs +2025-07-02 09:01:54,834 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:01:54,857 - pyskl - INFO - +top1_acc 0.9411 +top5_acc 0.9932 +2025-07-02 09:01:54,861 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_70.pth was removed +2025-07-02 09:01:55,027 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_77.pth. +2025-07-02 09:01:55,028 - pyskl - INFO - Best top1_acc is 0.9411 at 77 epoch. +2025-07-02 09:01:55,029 - pyskl - INFO - Epoch(val) [77][450] top1_acc: 0.9411, top5_acc: 0.9932 +2025-07-02 09:02:38,508 - pyskl - INFO - Epoch [78][100/898] lr: 1.195e-02, eta: 3:23:17, time: 0.435, data_time: 0.248, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.3227, loss: 0.3227 +2025-07-02 09:02:56,695 - pyskl - INFO - Epoch [78][200/898] lr: 1.192e-02, eta: 3:22:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9219, top5_acc: 0.9925, loss_cls: 0.4150, loss: 0.4150 +2025-07-02 09:03:14,942 - pyskl - INFO - Epoch [78][300/898] lr: 1.189e-02, eta: 3:22:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9194, top5_acc: 0.9956, loss_cls: 0.3939, loss: 0.3939 +2025-07-02 09:03:33,414 - pyskl - INFO - Epoch [78][400/898] lr: 1.186e-02, eta: 3:22:20, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9931, loss_cls: 0.3767, loss: 0.3767 +2025-07-02 09:03:52,311 - pyskl - INFO - Epoch [78][500/898] lr: 1.183e-02, eta: 3:22:02, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9981, loss_cls: 0.3690, loss: 0.3690 +2025-07-02 09:04:10,746 - pyskl - INFO - Epoch [78][600/898] lr: 1.180e-02, eta: 3:21:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9944, loss_cls: 0.4104, loss: 0.4104 +2025-07-02 09:04:28,828 - pyskl - INFO - Epoch [78][700/898] lr: 1.177e-02, eta: 3:21:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9925, loss_cls: 0.3809, loss: 0.3809 +2025-07-02 09:04:46,829 - pyskl - INFO - Epoch [78][800/898] lr: 1.174e-02, eta: 3:21:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9294, top5_acc: 0.9956, loss_cls: 0.3812, loss: 0.3812 +2025-07-02 09:05:05,208 - pyskl - INFO - Saving checkpoint at 78 epochs +2025-07-02 09:05:42,580 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:05:42,608 - pyskl - INFO - +top1_acc 0.9363 +top5_acc 0.9932 +2025-07-02 09:05:42,610 - pyskl - INFO - Epoch(val) [78][450] top1_acc: 0.9363, top5_acc: 0.9932 +2025-07-02 09:06:24,728 - pyskl - INFO - Epoch [79][100/898] lr: 1.169e-02, eta: 3:20:33, time: 0.421, data_time: 0.240, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9944, loss_cls: 0.3721, loss: 0.3721 +2025-07-02 09:06:42,851 - pyskl - INFO - Epoch [79][200/898] lr: 1.166e-02, eta: 3:20:14, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9281, top5_acc: 0.9950, loss_cls: 0.3756, loss: 0.3756 +2025-07-02 09:07:00,489 - pyskl - INFO - Epoch [79][300/898] lr: 1.163e-02, eta: 3:19:54, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9131, top5_acc: 0.9931, loss_cls: 0.4516, loss: 0.4516 +2025-07-02 09:07:18,749 - pyskl - INFO - Epoch [79][400/898] lr: 1.160e-02, eta: 3:19:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9944, loss_cls: 0.3707, loss: 0.3707 +2025-07-02 09:07:36,851 - pyskl - INFO - Epoch [79][500/898] lr: 1.157e-02, eta: 3:19:16, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9113, top5_acc: 0.9962, loss_cls: 0.4152, loss: 0.4152 +2025-07-02 09:07:55,048 - pyskl - INFO - Epoch [79][600/898] lr: 1.154e-02, eta: 3:18:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9938, loss_cls: 0.3252, loss: 0.3252 +2025-07-02 09:08:12,781 - pyskl - INFO - Epoch [79][700/898] lr: 1.151e-02, eta: 3:18:38, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9925, loss_cls: 0.3820, loss: 0.3820 +2025-07-02 09:08:30,617 - pyskl - INFO - Epoch [79][800/898] lr: 1.148e-02, eta: 3:18:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.4355, loss: 0.4355 +2025-07-02 09:08:49,096 - pyskl - INFO - Saving checkpoint at 79 epochs +2025-07-02 09:09:26,581 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:09:26,604 - pyskl - INFO - +top1_acc 0.9378 +top5_acc 0.9954 +2025-07-02 09:09:26,605 - pyskl - INFO - Epoch(val) [79][450] top1_acc: 0.9378, top5_acc: 0.9954 +2025-07-02 09:10:08,610 - pyskl - INFO - Epoch [80][100/898] lr: 1.143e-02, eta: 3:17:46, time: 0.420, data_time: 0.239, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9912, loss_cls: 0.3482, loss: 0.3482 +2025-07-02 09:10:26,441 - pyskl - INFO - Epoch [80][200/898] lr: 1.140e-02, eta: 3:17:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9950, loss_cls: 0.3610, loss: 0.3610 +2025-07-02 09:10:44,245 - pyskl - INFO - Epoch [80][300/898] lr: 1.137e-02, eta: 3:17:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3462, loss: 0.3462 +2025-07-02 09:11:02,209 - pyskl - INFO - Epoch [80][400/898] lr: 1.134e-02, eta: 3:16:48, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9950, loss_cls: 0.3894, loss: 0.3894 +2025-07-02 09:11:20,554 - pyskl - INFO - Epoch [80][500/898] lr: 1.131e-02, eta: 3:16:29, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9319, top5_acc: 0.9950, loss_cls: 0.3833, loss: 0.3833 +2025-07-02 09:11:39,023 - pyskl - INFO - Epoch [80][600/898] lr: 1.128e-02, eta: 3:16:10, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9163, top5_acc: 0.9944, loss_cls: 0.3991, loss: 0.3991 +2025-07-02 09:11:57,010 - pyskl - INFO - Epoch [80][700/898] lr: 1.125e-02, eta: 3:15:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9938, loss_cls: 0.3880, loss: 0.3880 +2025-07-02 09:12:14,856 - pyskl - INFO - Epoch [80][800/898] lr: 1.122e-02, eta: 3:15:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9175, top5_acc: 0.9919, loss_cls: 0.4152, loss: 0.4152 +2025-07-02 09:12:33,862 - pyskl - INFO - Saving checkpoint at 80 epochs +2025-07-02 09:13:11,006 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:13:11,035 - pyskl - INFO - +top1_acc 0.9274 +top5_acc 0.9918 +2025-07-02 09:13:11,036 - pyskl - INFO - Epoch(val) [80][450] top1_acc: 0.9274, top5_acc: 0.9918 +2025-07-02 09:13:52,933 - pyskl - INFO - Epoch [81][100/898] lr: 1.116e-02, eta: 3:14:59, time: 0.419, data_time: 0.238, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9981, loss_cls: 0.3350, loss: 0.3350 +2025-07-02 09:14:10,745 - pyskl - INFO - Epoch [81][200/898] lr: 1.114e-02, eta: 3:14:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9931, loss_cls: 0.3781, loss: 0.3781 +2025-07-02 09:14:28,683 - pyskl - INFO - Epoch [81][300/898] lr: 1.111e-02, eta: 3:14:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3388, loss: 0.3388 +2025-07-02 09:14:46,782 - pyskl - INFO - Epoch [81][400/898] lr: 1.108e-02, eta: 3:14:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9213, top5_acc: 0.9950, loss_cls: 0.3953, loss: 0.3953 +2025-07-02 09:15:04,831 - pyskl - INFO - Epoch [81][500/898] lr: 1.105e-02, eta: 3:13:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 0.3828, loss: 0.3828 +2025-07-02 09:15:22,928 - pyskl - INFO - Epoch [81][600/898] lr: 1.102e-02, eta: 3:13:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9263, top5_acc: 0.9938, loss_cls: 0.3712, loss: 0.3712 +2025-07-02 09:15:40,887 - pyskl - INFO - Epoch [81][700/898] lr: 1.099e-02, eta: 3:13:04, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9950, loss_cls: 0.3460, loss: 0.3460 +2025-07-02 09:15:58,584 - pyskl - INFO - Epoch [81][800/898] lr: 1.096e-02, eta: 3:12:44, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9181, top5_acc: 0.9944, loss_cls: 0.4188, loss: 0.4188 +2025-07-02 09:16:17,006 - pyskl - INFO - Saving checkpoint at 81 epochs +2025-07-02 09:16:54,475 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:16:54,498 - pyskl - INFO - +top1_acc 0.8035 +top5_acc 0.9537 +2025-07-02 09:16:54,499 - pyskl - INFO - Epoch(val) [81][450] top1_acc: 0.8035, top5_acc: 0.9537 +2025-07-02 09:17:36,981 - pyskl - INFO - Epoch [82][100/898] lr: 1.090e-02, eta: 3:12:12, time: 0.425, data_time: 0.239, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3241, loss: 0.3241 +2025-07-02 09:17:54,888 - pyskl - INFO - Epoch [82][200/898] lr: 1.088e-02, eta: 3:11:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9950, loss_cls: 0.3624, loss: 0.3624 +2025-07-02 09:18:12,777 - pyskl - INFO - Epoch [82][300/898] lr: 1.085e-02, eta: 3:11:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9912, loss_cls: 0.3849, loss: 0.3849 +2025-07-02 09:18:30,722 - pyskl - INFO - Epoch [82][400/898] lr: 1.082e-02, eta: 3:11:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9206, top5_acc: 0.9938, loss_cls: 0.3907, loss: 0.3907 +2025-07-02 09:18:48,849 - pyskl - INFO - Epoch [82][500/898] lr: 1.079e-02, eta: 3:10:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9962, loss_cls: 0.3208, loss: 0.3208 +2025-07-02 09:19:06,951 - pyskl - INFO - Epoch [82][600/898] lr: 1.076e-02, eta: 3:10:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9956, loss_cls: 0.3720, loss: 0.3720 +2025-07-02 09:19:24,812 - pyskl - INFO - Epoch [82][700/898] lr: 1.073e-02, eta: 3:10:17, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9981, loss_cls: 0.3364, loss: 0.3364 +2025-07-02 09:19:42,685 - pyskl - INFO - Epoch [82][800/898] lr: 1.070e-02, eta: 3:09:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9956, loss_cls: 0.3727, loss: 0.3727 +2025-07-02 09:20:01,124 - pyskl - INFO - Saving checkpoint at 82 epochs +2025-07-02 09:20:38,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:20:38,509 - pyskl - INFO - +top1_acc 0.9411 +top5_acc 0.9946 +2025-07-02 09:20:38,510 - pyskl - INFO - Epoch(val) [82][450] top1_acc: 0.9411, top5_acc: 0.9946 +2025-07-02 09:21:20,403 - pyskl - INFO - Epoch [83][100/898] lr: 1.065e-02, eta: 3:09:25, time: 0.419, data_time: 0.240, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9925, loss_cls: 0.2955, loss: 0.2955 +2025-07-02 09:21:38,573 - pyskl - INFO - Epoch [83][200/898] lr: 1.062e-02, eta: 3:09:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9956, loss_cls: 0.3633, loss: 0.3633 +2025-07-02 09:21:56,420 - pyskl - INFO - Epoch [83][300/898] lr: 1.059e-02, eta: 3:08:47, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9969, loss_cls: 0.3321, loss: 0.3321 +2025-07-02 09:22:14,672 - pyskl - INFO - Epoch [83][400/898] lr: 1.056e-02, eta: 3:08:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9950, loss_cls: 0.2965, loss: 0.2965 +2025-07-02 09:22:32,658 - pyskl - INFO - Epoch [83][500/898] lr: 1.053e-02, eta: 3:08:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9313, top5_acc: 0.9931, loss_cls: 0.3855, loss: 0.3855 +2025-07-02 09:22:50,884 - pyskl - INFO - Epoch [83][600/898] lr: 1.050e-02, eta: 3:07:50, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3566, loss: 0.3566 +2025-07-02 09:23:08,772 - pyskl - INFO - Epoch [83][700/898] lr: 1.047e-02, eta: 3:07:30, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9962, loss_cls: 0.3646, loss: 0.3646 +2025-07-02 09:23:26,467 - pyskl - INFO - Epoch [83][800/898] lr: 1.044e-02, eta: 3:07:11, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9962, loss_cls: 0.3563, loss: 0.3563 +2025-07-02 09:23:44,856 - pyskl - INFO - Saving checkpoint at 83 epochs +2025-07-02 09:24:22,290 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:24:22,313 - pyskl - INFO - +top1_acc 0.9381 +top5_acc 0.9944 +2025-07-02 09:24:22,314 - pyskl - INFO - Epoch(val) [83][450] top1_acc: 0.9381, top5_acc: 0.9944 +2025-07-02 09:25:03,884 - pyskl - INFO - Epoch [84][100/898] lr: 1.039e-02, eta: 3:06:38, time: 0.416, data_time: 0.232, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9962, loss_cls: 0.2913, loss: 0.2913 +2025-07-02 09:25:21,665 - pyskl - INFO - Epoch [84][200/898] lr: 1.036e-02, eta: 3:06:18, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9944, loss_cls: 0.3387, loss: 0.3387 +2025-07-02 09:25:39,403 - pyskl - INFO - Epoch [84][300/898] lr: 1.033e-02, eta: 3:05:59, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9387, top5_acc: 0.9931, loss_cls: 0.3524, loss: 0.3524 +2025-07-02 09:25:57,097 - pyskl - INFO - Epoch [84][400/898] lr: 1.030e-02, eta: 3:05:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9250, top5_acc: 0.9962, loss_cls: 0.3790, loss: 0.3790 +2025-07-02 09:26:15,029 - pyskl - INFO - Epoch [84][500/898] lr: 1.027e-02, eta: 3:05:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9381, top5_acc: 0.9938, loss_cls: 0.3565, loss: 0.3565 +2025-07-02 09:26:33,188 - pyskl - INFO - Epoch [84][600/898] lr: 1.024e-02, eta: 3:05:01, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9375, top5_acc: 0.9969, loss_cls: 0.3518, loss: 0.3518 +2025-07-02 09:26:51,627 - pyskl - INFO - Epoch [84][700/898] lr: 1.021e-02, eta: 3:04:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9975, loss_cls: 0.2985, loss: 0.2985 +2025-07-02 09:27:09,574 - pyskl - INFO - Epoch [84][800/898] lr: 1.019e-02, eta: 3:04:24, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9962, loss_cls: 0.3081, loss: 0.3081 +2025-07-02 09:27:28,053 - pyskl - INFO - Saving checkpoint at 84 epochs +2025-07-02 09:28:05,578 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:28:05,606 - pyskl - INFO - +top1_acc 0.9026 +top5_acc 0.9876 +2025-07-02 09:28:05,607 - pyskl - INFO - Epoch(val) [84][450] top1_acc: 0.9026, top5_acc: 0.9876 +2025-07-02 09:28:48,138 - pyskl - INFO - Epoch [85][100/898] lr: 1.013e-02, eta: 3:03:51, time: 0.425, data_time: 0.241, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9962, loss_cls: 0.3166, loss: 0.3166 +2025-07-02 09:29:05,950 - pyskl - INFO - Epoch [85][200/898] lr: 1.010e-02, eta: 3:03:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9962, loss_cls: 0.2980, loss: 0.2980 +2025-07-02 09:29:24,039 - pyskl - INFO - Epoch [85][300/898] lr: 1.007e-02, eta: 3:03:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9469, top5_acc: 0.9969, loss_cls: 0.3088, loss: 0.3088 +2025-07-02 09:29:41,658 - pyskl - INFO - Epoch [85][400/898] lr: 1.004e-02, eta: 3:02:53, time: 0.176, data_time: 0.000, memory: 2903, top1_acc: 0.9225, top5_acc: 0.9962, loss_cls: 0.3927, loss: 0.3927 +2025-07-02 09:29:59,773 - pyskl - INFO - Epoch [85][500/898] lr: 1.001e-02, eta: 3:02:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9956, loss_cls: 0.3634, loss: 0.3634 +2025-07-02 09:30:17,942 - pyskl - INFO - Epoch [85][600/898] lr: 9.986e-03, eta: 3:02:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9256, top5_acc: 0.9956, loss_cls: 0.3754, loss: 0.3754 +2025-07-02 09:30:36,076 - pyskl - INFO - Epoch [85][700/898] lr: 9.958e-03, eta: 3:01:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9938, loss_cls: 0.3851, loss: 0.3851 +2025-07-02 09:30:54,150 - pyskl - INFO - Epoch [85][800/898] lr: 9.929e-03, eta: 3:01:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9969, loss_cls: 0.3387, loss: 0.3387 +2025-07-02 09:31:12,275 - pyskl - INFO - Saving checkpoint at 85 epochs +2025-07-02 09:31:49,171 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:31:49,200 - pyskl - INFO - +top1_acc 0.9391 +top5_acc 0.9951 +2025-07-02 09:31:49,201 - pyskl - INFO - Epoch(val) [85][450] top1_acc: 0.9391, top5_acc: 0.9951 +2025-07-02 09:32:31,246 - pyskl - INFO - Epoch [86][100/898] lr: 9.873e-03, eta: 3:01:04, time: 0.420, data_time: 0.237, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9944, loss_cls: 0.3567, loss: 0.3567 +2025-07-02 09:32:49,108 - pyskl - INFO - Epoch [86][200/898] lr: 9.844e-03, eta: 3:00:45, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9475, top5_acc: 0.9975, loss_cls: 0.2833, loss: 0.2833 +2025-07-02 09:33:07,302 - pyskl - INFO - Epoch [86][300/898] lr: 9.816e-03, eta: 3:00:26, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9444, top5_acc: 0.9956, loss_cls: 0.3378, loss: 0.3378 +2025-07-02 09:33:25,053 - pyskl - INFO - Epoch [86][400/898] lr: 9.787e-03, eta: 3:00:07, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9287, top5_acc: 0.9950, loss_cls: 0.3720, loss: 0.3720 +2025-07-02 09:33:43,077 - pyskl - INFO - Epoch [86][500/898] lr: 9.759e-03, eta: 2:59:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9306, top5_acc: 0.9962, loss_cls: 0.3467, loss: 0.3467 +2025-07-02 09:34:01,181 - pyskl - INFO - Epoch [86][600/898] lr: 9.731e-03, eta: 2:59:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9419, top5_acc: 0.9962, loss_cls: 0.3138, loss: 0.3138 +2025-07-02 09:34:19,347 - pyskl - INFO - Epoch [86][700/898] lr: 9.702e-03, eta: 2:59:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9956, loss_cls: 0.3413, loss: 0.3413 +2025-07-02 09:34:37,473 - pyskl - INFO - Epoch [86][800/898] lr: 9.674e-03, eta: 2:58:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9337, top5_acc: 0.9944, loss_cls: 0.3562, loss: 0.3562 +2025-07-02 09:34:55,630 - pyskl - INFO - Saving checkpoint at 86 epochs +2025-07-02 09:35:32,884 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:35:32,913 - pyskl - INFO - +top1_acc 0.9496 +top5_acc 0.9958 +2025-07-02 09:35:32,918 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_77.pth was removed +2025-07-02 09:35:33,317 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_86.pth. +2025-07-02 09:35:33,317 - pyskl - INFO - Best top1_acc is 0.9496 at 86 epoch. +2025-07-02 09:35:33,319 - pyskl - INFO - Epoch(val) [86][450] top1_acc: 0.9496, top5_acc: 0.9958 +2025-07-02 09:36:14,883 - pyskl - INFO - Epoch [87][100/898] lr: 9.618e-03, eta: 2:58:17, time: 0.416, data_time: 0.233, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9962, loss_cls: 0.3046, loss: 0.3046 +2025-07-02 09:36:33,048 - pyskl - INFO - Epoch [87][200/898] lr: 9.589e-03, eta: 2:57:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9950, loss_cls: 0.2686, loss: 0.2686 +2025-07-02 09:36:51,241 - pyskl - INFO - Epoch [87][300/898] lr: 9.561e-03, eta: 2:57:39, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3164, loss: 0.3164 +2025-07-02 09:37:09,041 - pyskl - INFO - Epoch [87][400/898] lr: 9.532e-03, eta: 2:57:20, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9931, loss_cls: 0.3361, loss: 0.3361 +2025-07-02 09:37:26,994 - pyskl - INFO - Epoch [87][500/898] lr: 9.504e-03, eta: 2:57:00, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9331, top5_acc: 0.9944, loss_cls: 0.3285, loss: 0.3285 +2025-07-02 09:37:45,233 - pyskl - INFO - Epoch [87][600/898] lr: 9.476e-03, eta: 2:56:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9325, top5_acc: 0.9950, loss_cls: 0.3424, loss: 0.3424 +2025-07-02 09:38:03,577 - pyskl - INFO - Epoch [87][700/898] lr: 9.448e-03, eta: 2:56:23, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.3311, loss: 0.3311 +2025-07-02 09:38:21,756 - pyskl - INFO - Epoch [87][800/898] lr: 9.419e-03, eta: 2:56:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9344, top5_acc: 0.9969, loss_cls: 0.3557, loss: 0.3557 +2025-07-02 09:38:39,876 - pyskl - INFO - Saving checkpoint at 87 epochs +2025-07-02 09:39:17,531 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:39:17,553 - pyskl - INFO - +top1_acc 0.9480 +top5_acc 0.9954 +2025-07-02 09:39:17,554 - pyskl - INFO - Epoch(val) [87][450] top1_acc: 0.9480, top5_acc: 0.9954 +2025-07-02 09:40:00,257 - pyskl - INFO - Epoch [88][100/898] lr: 9.363e-03, eta: 2:55:31, time: 0.427, data_time: 0.239, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9981, loss_cls: 0.2569, loss: 0.2569 +2025-07-02 09:40:18,165 - pyskl - INFO - Epoch [88][200/898] lr: 9.335e-03, eta: 2:55:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9962, loss_cls: 0.3479, loss: 0.3479 +2025-07-02 09:40:36,327 - pyskl - INFO - Epoch [88][300/898] lr: 9.307e-03, eta: 2:54:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9437, top5_acc: 0.9975, loss_cls: 0.2931, loss: 0.2931 +2025-07-02 09:40:54,328 - pyskl - INFO - Epoch [88][400/898] lr: 9.279e-03, eta: 2:54:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9369, top5_acc: 0.9956, loss_cls: 0.2994, loss: 0.2994 +2025-07-02 09:41:12,213 - pyskl - INFO - Epoch [88][500/898] lr: 9.251e-03, eta: 2:54:14, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9975, loss_cls: 0.3267, loss: 0.3267 +2025-07-02 09:41:30,318 - pyskl - INFO - Epoch [88][600/898] lr: 9.223e-03, eta: 2:53:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 0.9981, loss_cls: 0.2629, loss: 0.2629 +2025-07-02 09:41:48,597 - pyskl - INFO - Epoch [88][700/898] lr: 9.194e-03, eta: 2:53:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9350, top5_acc: 0.9962, loss_cls: 0.3350, loss: 0.3350 +2025-07-02 09:42:06,703 - pyskl - INFO - Epoch [88][800/898] lr: 9.166e-03, eta: 2:53:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9950, loss_cls: 0.3568, loss: 0.3568 +2025-07-02 09:42:24,878 - pyskl - INFO - Saving checkpoint at 88 epochs +2025-07-02 09:43:03,445 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:43:03,468 - pyskl - INFO - +top1_acc 0.9388 +top5_acc 0.9943 +2025-07-02 09:43:03,469 - pyskl - INFO - Epoch(val) [88][450] top1_acc: 0.9388, top5_acc: 0.9943 +2025-07-02 09:43:47,125 - pyskl - INFO - Epoch [89][100/898] lr: 9.111e-03, eta: 2:52:45, time: 0.437, data_time: 0.251, memory: 2903, top1_acc: 0.9406, top5_acc: 0.9975, loss_cls: 0.3159, loss: 0.3159 +2025-07-02 09:44:05,117 - pyskl - INFO - Epoch [89][200/898] lr: 9.083e-03, eta: 2:52:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9969, loss_cls: 0.2769, loss: 0.2769 +2025-07-02 09:44:23,037 - pyskl - INFO - Epoch [89][300/898] lr: 9.055e-03, eta: 2:52:07, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9925, loss_cls: 0.3116, loss: 0.3116 +2025-07-02 09:44:41,120 - pyskl - INFO - Epoch [89][400/898] lr: 9.027e-03, eta: 2:51:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9956, loss_cls: 0.2895, loss: 0.2895 +2025-07-02 09:44:59,119 - pyskl - INFO - Epoch [89][500/898] lr: 8.999e-03, eta: 2:51:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9969, loss_cls: 0.2936, loss: 0.2936 +2025-07-02 09:45:17,083 - pyskl - INFO - Epoch [89][600/898] lr: 8.971e-03, eta: 2:51:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9950, loss_cls: 0.2881, loss: 0.2881 +2025-07-02 09:45:35,469 - pyskl - INFO - Epoch [89][700/898] lr: 8.943e-03, eta: 2:50:51, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9925, loss_cls: 0.3160, loss: 0.3160 +2025-07-02 09:45:53,242 - pyskl - INFO - Epoch [89][800/898] lr: 8.915e-03, eta: 2:50:32, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9944, loss_cls: 0.3333, loss: 0.3333 +2025-07-02 09:46:11,480 - pyskl - INFO - Saving checkpoint at 89 epochs +2025-07-02 09:46:48,896 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:46:48,918 - pyskl - INFO - +top1_acc 0.9460 +top5_acc 0.9937 +2025-07-02 09:46:48,919 - pyskl - INFO - Epoch(val) [89][450] top1_acc: 0.9460, top5_acc: 0.9937 +2025-07-02 09:47:31,272 - pyskl - INFO - Epoch [90][100/898] lr: 8.859e-03, eta: 2:49:59, time: 0.423, data_time: 0.243, memory: 2903, top1_acc: 0.9344, top5_acc: 1.0000, loss_cls: 0.3328, loss: 0.3328 +2025-07-02 09:47:49,045 - pyskl - INFO - Epoch [90][200/898] lr: 8.832e-03, eta: 2:49:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9956, loss_cls: 0.3103, loss: 0.3103 +2025-07-02 09:48:07,084 - pyskl - INFO - Epoch [90][300/898] lr: 8.804e-03, eta: 2:49:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9944, loss_cls: 0.2850, loss: 0.2850 +2025-07-02 09:48:25,141 - pyskl - INFO - Epoch [90][400/898] lr: 8.776e-03, eta: 2:49:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9975, loss_cls: 0.2667, loss: 0.2667 +2025-07-02 09:48:43,331 - pyskl - INFO - Epoch [90][500/898] lr: 8.748e-03, eta: 2:48:42, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9969, loss_cls: 0.3305, loss: 0.3305 +2025-07-02 09:49:01,514 - pyskl - INFO - Epoch [90][600/898] lr: 8.720e-03, eta: 2:48:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.3001, loss: 0.3001 +2025-07-02 09:49:19,701 - pyskl - INFO - Epoch [90][700/898] lr: 8.693e-03, eta: 2:48:04, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9300, top5_acc: 0.9969, loss_cls: 0.3556, loss: 0.3556 +2025-07-02 09:49:37,876 - pyskl - INFO - Epoch [90][800/898] lr: 8.665e-03, eta: 2:47:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9962, loss_cls: 0.3225, loss: 0.3225 +2025-07-02 09:49:56,594 - pyskl - INFO - Saving checkpoint at 90 epochs +2025-07-02 09:50:34,511 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:50:34,534 - pyskl - INFO - +top1_acc 0.9494 +top5_acc 0.9947 +2025-07-02 09:50:34,535 - pyskl - INFO - Epoch(val) [90][450] top1_acc: 0.9494, top5_acc: 0.9947 +2025-07-02 09:51:17,858 - pyskl - INFO - Epoch [91][100/898] lr: 8.610e-03, eta: 2:47:13, time: 0.433, data_time: 0.248, memory: 2903, top1_acc: 0.9425, top5_acc: 0.9975, loss_cls: 0.3195, loss: 0.3195 +2025-07-02 09:51:35,743 - pyskl - INFO - Epoch [91][200/898] lr: 8.582e-03, eta: 2:46:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9981, loss_cls: 0.2502, loss: 0.2502 +2025-07-02 09:51:53,725 - pyskl - INFO - Epoch [91][300/898] lr: 8.554e-03, eta: 2:46:34, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9969, loss_cls: 0.2636, loss: 0.2636 +2025-07-02 09:52:11,596 - pyskl - INFO - Epoch [91][400/898] lr: 8.527e-03, eta: 2:46:15, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9450, top5_acc: 0.9975, loss_cls: 0.2748, loss: 0.2748 +2025-07-02 09:52:29,670 - pyskl - INFO - Epoch [91][500/898] lr: 8.499e-03, eta: 2:45:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2524, loss: 0.2524 +2025-07-02 09:52:47,648 - pyskl - INFO - Epoch [91][600/898] lr: 8.472e-03, eta: 2:45:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9413, top5_acc: 0.9969, loss_cls: 0.2858, loss: 0.2858 +2025-07-02 09:53:05,523 - pyskl - INFO - Epoch [91][700/898] lr: 8.444e-03, eta: 2:45:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9981, loss_cls: 0.2999, loss: 0.2999 +2025-07-02 09:53:23,375 - pyskl - INFO - Epoch [91][800/898] lr: 8.416e-03, eta: 2:44:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9275, top5_acc: 0.9944, loss_cls: 0.3560, loss: 0.3560 +2025-07-02 09:53:41,977 - pyskl - INFO - Saving checkpoint at 91 epochs +2025-07-02 09:54:20,536 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:54:20,565 - pyskl - INFO - +top1_acc 0.9339 +top5_acc 0.9949 +2025-07-02 09:54:20,566 - pyskl - INFO - Epoch(val) [91][450] top1_acc: 0.9339, top5_acc: 0.9949 +2025-07-02 09:55:03,953 - pyskl - INFO - Epoch [92][100/898] lr: 8.362e-03, eta: 2:44:26, time: 0.434, data_time: 0.250, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9950, loss_cls: 0.2971, loss: 0.2971 +2025-07-02 09:55:22,106 - pyskl - INFO - Epoch [92][200/898] lr: 8.334e-03, eta: 2:44:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9975, loss_cls: 0.2433, loss: 0.2433 +2025-07-02 09:55:40,607 - pyskl - INFO - Epoch [92][300/898] lr: 8.307e-03, eta: 2:43:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2884, loss: 0.2884 +2025-07-02 09:55:58,654 - pyskl - INFO - Epoch [92][400/898] lr: 8.279e-03, eta: 2:43:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2878, loss: 0.2878 +2025-07-02 09:56:16,773 - pyskl - INFO - Epoch [92][500/898] lr: 8.252e-03, eta: 2:43:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9962, loss_cls: 0.2803, loss: 0.2803 +2025-07-02 09:56:35,578 - pyskl - INFO - Epoch [92][600/898] lr: 8.225e-03, eta: 2:42:52, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9531, top5_acc: 0.9969, loss_cls: 0.2697, loss: 0.2697 +2025-07-02 09:56:53,819 - pyskl - INFO - Epoch [92][700/898] lr: 8.197e-03, eta: 2:42:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2839, loss: 0.2839 +2025-07-02 09:57:12,312 - pyskl - INFO - Epoch [92][800/898] lr: 8.170e-03, eta: 2:42:14, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9988, loss_cls: 0.2610, loss: 0.2610 +2025-07-02 09:57:30,678 - pyskl - INFO - Saving checkpoint at 92 epochs +2025-07-02 09:58:08,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 09:58:08,919 - pyskl - INFO - +top1_acc 0.9382 +top5_acc 0.9946 +2025-07-02 09:58:08,921 - pyskl - INFO - Epoch(val) [92][450] top1_acc: 0.9382, top5_acc: 0.9946 +2025-07-02 09:58:52,340 - pyskl - INFO - Epoch [93][100/898] lr: 8.116e-03, eta: 2:41:41, time: 0.434, data_time: 0.249, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2609, loss: 0.2609 +2025-07-02 09:59:10,502 - pyskl - INFO - Epoch [93][200/898] lr: 8.089e-03, eta: 2:41:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9988, loss_cls: 0.2736, loss: 0.2736 +2025-07-02 09:59:28,632 - pyskl - INFO - Epoch [93][300/898] lr: 8.061e-03, eta: 2:41:03, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9969, loss_cls: 0.2549, loss: 0.2549 +2025-07-02 09:59:46,687 - pyskl - INFO - Epoch [93][400/898] lr: 8.034e-03, eta: 2:40:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9394, top5_acc: 0.9975, loss_cls: 0.3003, loss: 0.3003 +2025-07-02 10:00:04,610 - pyskl - INFO - Epoch [93][500/898] lr: 8.007e-03, eta: 2:40:25, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9994, loss_cls: 0.2374, loss: 0.2374 +2025-07-02 10:00:22,743 - pyskl - INFO - Epoch [93][600/898] lr: 7.980e-03, eta: 2:40:06, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9975, loss_cls: 0.2551, loss: 0.2551 +2025-07-02 10:00:41,173 - pyskl - INFO - Epoch [93][700/898] lr: 7.952e-03, eta: 2:39:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9956, loss_cls: 0.2793, loss: 0.2793 +2025-07-02 10:00:59,277 - pyskl - INFO - Epoch [93][800/898] lr: 7.925e-03, eta: 2:39:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9962, loss_cls: 0.2909, loss: 0.2909 +2025-07-02 10:01:17,522 - pyskl - INFO - Saving checkpoint at 93 epochs +2025-07-02 10:01:55,151 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:01:55,174 - pyskl - INFO - +top1_acc 0.9500 +top5_acc 0.9955 +2025-07-02 10:01:55,178 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_86.pth was removed +2025-07-02 10:01:55,405 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2025-07-02 10:01:55,406 - pyskl - INFO - Best top1_acc is 0.9500 at 93 epoch. +2025-07-02 10:01:55,408 - pyskl - INFO - Epoch(val) [93][450] top1_acc: 0.9500, top5_acc: 0.9955 +2025-07-02 10:02:39,144 - pyskl - INFO - Epoch [94][100/898] lr: 7.872e-03, eta: 2:38:55, time: 0.437, data_time: 0.252, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2198, loss: 0.2198 +2025-07-02 10:02:57,821 - pyskl - INFO - Epoch [94][200/898] lr: 7.845e-03, eta: 2:38:37, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2452, loss: 0.2452 +2025-07-02 10:03:16,321 - pyskl - INFO - Epoch [94][300/898] lr: 7.818e-03, eta: 2:38:18, time: 0.185, data_time: 0.001, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2544, loss: 0.2544 +2025-07-02 10:03:34,609 - pyskl - INFO - Epoch [94][400/898] lr: 7.790e-03, eta: 2:37:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2941, loss: 0.2941 +2025-07-02 10:03:52,840 - pyskl - INFO - Epoch [94][500/898] lr: 7.763e-03, eta: 2:37:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9356, top5_acc: 0.9975, loss_cls: 0.3115, loss: 0.3115 +2025-07-02 10:04:11,523 - pyskl - INFO - Epoch [94][600/898] lr: 7.737e-03, eta: 2:37:21, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9969, loss_cls: 0.2919, loss: 0.2919 +2025-07-02 10:04:30,006 - pyskl - INFO - Epoch [94][700/898] lr: 7.710e-03, eta: 2:37:03, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9956, loss_cls: 0.2816, loss: 0.2816 +2025-07-02 10:04:48,668 - pyskl - INFO - Epoch [94][800/898] lr: 7.683e-03, eta: 2:36:44, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9363, top5_acc: 0.9956, loss_cls: 0.3310, loss: 0.3310 +2025-07-02 10:05:07,235 - pyskl - INFO - Saving checkpoint at 94 epochs +2025-07-02 10:05:45,271 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:05:45,300 - pyskl - INFO - +top1_acc 0.9552 +top5_acc 0.9950 +2025-07-02 10:05:45,305 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_93.pth was removed +2025-07-02 10:05:45,472 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2025-07-02 10:05:45,472 - pyskl - INFO - Best top1_acc is 0.9552 at 94 epoch. +2025-07-02 10:05:45,474 - pyskl - INFO - Epoch(val) [94][450] top1_acc: 0.9552, top5_acc: 0.9950 +2025-07-02 10:06:28,926 - pyskl - INFO - Epoch [95][100/898] lr: 7.629e-03, eta: 2:36:11, time: 0.434, data_time: 0.243, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2624, loss: 0.2624 +2025-07-02 10:06:47,597 - pyskl - INFO - Epoch [95][200/898] lr: 7.603e-03, eta: 2:35:52, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9969, loss_cls: 0.2551, loss: 0.2551 +2025-07-02 10:07:06,007 - pyskl - INFO - Epoch [95][300/898] lr: 7.576e-03, eta: 2:35:33, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9513, top5_acc: 0.9988, loss_cls: 0.2603, loss: 0.2603 +2025-07-02 10:07:24,262 - pyskl - INFO - Epoch [95][400/898] lr: 7.549e-03, eta: 2:35:14, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2650, loss: 0.2650 +2025-07-02 10:07:42,323 - pyskl - INFO - Epoch [95][500/898] lr: 7.522e-03, eta: 2:34:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9969, loss_cls: 0.2443, loss: 0.2443 +2025-07-02 10:08:00,829 - pyskl - INFO - Epoch [95][600/898] lr: 7.496e-03, eta: 2:34:37, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9962, loss_cls: 0.2341, loss: 0.2341 +2025-07-02 10:08:18,979 - pyskl - INFO - Epoch [95][700/898] lr: 7.469e-03, eta: 2:34:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9969, loss_cls: 0.2344, loss: 0.2344 +2025-07-02 10:08:37,308 - pyskl - INFO - Epoch [95][800/898] lr: 7.442e-03, eta: 2:33:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9988, loss_cls: 0.2737, loss: 0.2737 +2025-07-02 10:08:55,683 - pyskl - INFO - Saving checkpoint at 95 epochs +2025-07-02 10:09:33,016 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:09:33,045 - pyskl - INFO - +top1_acc 0.9467 +top5_acc 0.9950 +2025-07-02 10:09:33,047 - pyskl - INFO - Epoch(val) [95][450] top1_acc: 0.9467, top5_acc: 0.9950 +2025-07-02 10:10:15,191 - pyskl - INFO - Epoch [96][100/898] lr: 7.389e-03, eta: 2:33:25, time: 0.421, data_time: 0.236, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2797, loss: 0.2797 +2025-07-02 10:10:33,212 - pyskl - INFO - Epoch [96][200/898] lr: 7.363e-03, eta: 2:33:06, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9994, loss_cls: 0.1990, loss: 0.1990 +2025-07-02 10:10:51,413 - pyskl - INFO - Epoch [96][300/898] lr: 7.336e-03, eta: 2:32:47, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2333, loss: 0.2333 +2025-07-02 10:11:09,564 - pyskl - INFO - Epoch [96][400/898] lr: 7.310e-03, eta: 2:32:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9550, top5_acc: 1.0000, loss_cls: 0.2573, loss: 0.2573 +2025-07-02 10:11:27,806 - pyskl - INFO - Epoch [96][500/898] lr: 7.283e-03, eta: 2:32:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.2171, loss: 0.2171 +2025-07-02 10:11:46,202 - pyskl - INFO - Epoch [96][600/898] lr: 7.257e-03, eta: 2:31:50, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9994, loss_cls: 0.2722, loss: 0.2722 +2025-07-02 10:12:04,562 - pyskl - INFO - Epoch [96][700/898] lr: 7.230e-03, eta: 2:31:31, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9962, loss_cls: 0.2817, loss: 0.2817 +2025-07-02 10:12:22,814 - pyskl - INFO - Epoch [96][800/898] lr: 7.204e-03, eta: 2:31:12, time: 0.183, data_time: 0.001, memory: 2903, top1_acc: 0.9463, top5_acc: 0.9962, loss_cls: 0.2808, loss: 0.2808 +2025-07-02 10:12:40,944 - pyskl - INFO - Saving checkpoint at 96 epochs +2025-07-02 10:13:19,167 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:13:19,196 - pyskl - INFO - +top1_acc 0.9372 +top5_acc 0.9949 +2025-07-02 10:13:19,198 - pyskl - INFO - Epoch(val) [96][450] top1_acc: 0.9372, top5_acc: 0.9949 +2025-07-02 10:14:02,037 - pyskl - INFO - Epoch [97][100/898] lr: 7.152e-03, eta: 2:30:39, time: 0.428, data_time: 0.239, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9981, loss_cls: 0.2571, loss: 0.2571 +2025-07-02 10:14:20,322 - pyskl - INFO - Epoch [97][200/898] lr: 7.125e-03, eta: 2:30:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9556, top5_acc: 0.9969, loss_cls: 0.2580, loss: 0.2580 +2025-07-02 10:14:38,640 - pyskl - INFO - Epoch [97][300/898] lr: 7.099e-03, eta: 2:30:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9594, top5_acc: 0.9981, loss_cls: 0.2148, loss: 0.2148 +2025-07-02 10:14:56,697 - pyskl - INFO - Epoch [97][400/898] lr: 7.073e-03, eta: 2:29:42, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9456, top5_acc: 0.9938, loss_cls: 0.2697, loss: 0.2697 +2025-07-02 10:15:14,927 - pyskl - INFO - Epoch [97][500/898] lr: 7.046e-03, eta: 2:29:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9950, loss_cls: 0.2437, loss: 0.2437 +2025-07-02 10:15:33,382 - pyskl - INFO - Epoch [97][600/898] lr: 7.020e-03, eta: 2:29:04, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9975, loss_cls: 0.2020, loss: 0.2020 +2025-07-02 10:15:51,751 - pyskl - INFO - Epoch [97][700/898] lr: 6.994e-03, eta: 2:28:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9956, loss_cls: 0.2335, loss: 0.2335 +2025-07-02 10:16:09,835 - pyskl - INFO - Epoch [97][800/898] lr: 6.968e-03, eta: 2:28:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9431, top5_acc: 0.9981, loss_cls: 0.2898, loss: 0.2898 +2025-07-02 10:16:28,383 - pyskl - INFO - Saving checkpoint at 97 epochs +2025-07-02 10:17:06,015 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:17:06,037 - pyskl - INFO - +top1_acc 0.9464 +top5_acc 0.9942 +2025-07-02 10:17:06,038 - pyskl - INFO - Epoch(val) [97][450] top1_acc: 0.9464, top5_acc: 0.9942 +2025-07-02 10:17:48,376 - pyskl - INFO - Epoch [98][100/898] lr: 6.916e-03, eta: 2:27:52, time: 0.423, data_time: 0.236, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9969, loss_cls: 0.2354, loss: 0.2354 +2025-07-02 10:18:06,991 - pyskl - INFO - Epoch [98][200/898] lr: 6.890e-03, eta: 2:27:34, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 1.0000, loss_cls: 0.2308, loss: 0.2308 +2025-07-02 10:18:25,441 - pyskl - INFO - Epoch [98][300/898] lr: 6.864e-03, eta: 2:27:15, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9981, loss_cls: 0.2513, loss: 0.2513 +2025-07-02 10:18:43,225 - pyskl - INFO - Epoch [98][400/898] lr: 6.838e-03, eta: 2:26:56, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9988, loss_cls: 0.2122, loss: 0.2122 +2025-07-02 10:19:01,503 - pyskl - INFO - Epoch [98][500/898] lr: 6.812e-03, eta: 2:26:37, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 1.0000, loss_cls: 0.2125, loss: 0.2125 +2025-07-02 10:19:19,989 - pyskl - INFO - Epoch [98][600/898] lr: 6.786e-03, eta: 2:26:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9988, loss_cls: 0.2353, loss: 0.2353 +2025-07-02 10:19:38,420 - pyskl - INFO - Epoch [98][700/898] lr: 6.760e-03, eta: 2:25:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9494, top5_acc: 0.9969, loss_cls: 0.2654, loss: 0.2654 +2025-07-02 10:19:56,619 - pyskl - INFO - Epoch [98][800/898] lr: 6.734e-03, eta: 2:25:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9981, loss_cls: 0.2220, loss: 0.2220 +2025-07-02 10:20:15,000 - pyskl - INFO - Saving checkpoint at 98 epochs +2025-07-02 10:20:52,412 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:20:52,435 - pyskl - INFO - +top1_acc 0.9544 +top5_acc 0.9955 +2025-07-02 10:20:52,436 - pyskl - INFO - Epoch(val) [98][450] top1_acc: 0.9544, top5_acc: 0.9955 +2025-07-02 10:21:35,786 - pyskl - INFO - Epoch [99][100/898] lr: 6.683e-03, eta: 2:25:07, time: 0.433, data_time: 0.244, memory: 2903, top1_acc: 0.9650, top5_acc: 0.9981, loss_cls: 0.1924, loss: 0.1924 +2025-07-02 10:21:53,781 - pyskl - INFO - Epoch [99][200/898] lr: 6.657e-03, eta: 2:24:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2320, loss: 0.2320 +2025-07-02 10:22:12,193 - pyskl - INFO - Epoch [99][300/898] lr: 6.632e-03, eta: 2:24:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9981, loss_cls: 0.2362, loss: 0.2362 +2025-07-02 10:22:30,609 - pyskl - INFO - Epoch [99][400/898] lr: 6.606e-03, eta: 2:24:10, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9956, loss_cls: 0.2296, loss: 0.2296 +2025-07-02 10:22:48,789 - pyskl - INFO - Epoch [99][500/898] lr: 6.580e-03, eta: 2:23:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.2191, loss: 0.2191 +2025-07-02 10:23:06,746 - pyskl - INFO - Epoch [99][600/898] lr: 6.555e-03, eta: 2:23:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9537, top5_acc: 0.9988, loss_cls: 0.2589, loss: 0.2589 +2025-07-02 10:23:25,131 - pyskl - INFO - Epoch [99][700/898] lr: 6.529e-03, eta: 2:23:13, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9487, top5_acc: 0.9988, loss_cls: 0.2564, loss: 0.2564 +2025-07-02 10:23:43,224 - pyskl - INFO - Epoch [99][800/898] lr: 6.503e-03, eta: 2:22:54, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2387, loss: 0.2387 +2025-07-02 10:24:01,583 - pyskl - INFO - Saving checkpoint at 99 epochs +2025-07-02 10:24:38,665 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:24:38,688 - pyskl - INFO - +top1_acc 0.9442 +top5_acc 0.9949 +2025-07-02 10:24:38,690 - pyskl - INFO - Epoch(val) [99][450] top1_acc: 0.9442, top5_acc: 0.9949 +2025-07-02 10:25:21,703 - pyskl - INFO - Epoch [100][100/898] lr: 6.453e-03, eta: 2:22:20, time: 0.430, data_time: 0.239, memory: 2903, top1_acc: 0.9525, top5_acc: 0.9975, loss_cls: 0.2436, loss: 0.2436 +2025-07-02 10:25:39,781 - pyskl - INFO - Epoch [100][200/898] lr: 6.427e-03, eta: 2:22:01, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9981, loss_cls: 0.2317, loss: 0.2317 +2025-07-02 10:25:57,736 - pyskl - INFO - Epoch [100][300/898] lr: 6.402e-03, eta: 2:21:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9994, loss_cls: 0.1939, loss: 0.1939 +2025-07-02 10:26:15,917 - pyskl - INFO - Epoch [100][400/898] lr: 6.376e-03, eta: 2:21:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 0.9975, loss_cls: 0.2323, loss: 0.2323 +2025-07-02 10:26:33,656 - pyskl - INFO - Epoch [100][500/898] lr: 6.351e-03, eta: 2:21:04, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9481, top5_acc: 0.9956, loss_cls: 0.2601, loss: 0.2601 +2025-07-02 10:26:52,031 - pyskl - INFO - Epoch [100][600/898] lr: 6.326e-03, eta: 2:20:45, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.2096, loss: 0.2096 +2025-07-02 10:27:10,282 - pyskl - INFO - Epoch [100][700/898] lr: 6.300e-03, eta: 2:20:26, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9994, loss_cls: 0.1890, loss: 0.1890 +2025-07-02 10:27:28,475 - pyskl - INFO - Epoch [100][800/898] lr: 6.275e-03, eta: 2:20:07, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 1.0000, loss_cls: 0.2077, loss: 0.2077 +2025-07-02 10:27:46,908 - pyskl - INFO - Saving checkpoint at 100 epochs +2025-07-02 10:28:24,501 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:28:24,525 - pyskl - INFO - +top1_acc 0.9503 +top5_acc 0.9957 +2025-07-02 10:28:24,526 - pyskl - INFO - Epoch(val) [100][450] top1_acc: 0.9503, top5_acc: 0.9957 +2025-07-02 10:29:07,029 - pyskl - INFO - Epoch [101][100/898] lr: 6.225e-03, eta: 2:19:33, time: 0.425, data_time: 0.234, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1903, loss: 0.1903 +2025-07-02 10:29:25,519 - pyskl - INFO - Epoch [101][200/898] lr: 6.200e-03, eta: 2:19:14, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1981, loss: 0.1981 +2025-07-02 10:29:43,871 - pyskl - INFO - Epoch [101][300/898] lr: 6.175e-03, eta: 2:18:55, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9669, top5_acc: 0.9969, loss_cls: 0.1879, loss: 0.1879 +2025-07-02 10:30:01,982 - pyskl - INFO - Epoch [101][400/898] lr: 6.150e-03, eta: 2:18:36, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9587, top5_acc: 1.0000, loss_cls: 0.2232, loss: 0.2232 +2025-07-02 10:30:19,964 - pyskl - INFO - Epoch [101][500/898] lr: 6.124e-03, eta: 2:18:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2388, loss: 0.2388 +2025-07-02 10:30:38,549 - pyskl - INFO - Epoch [101][600/898] lr: 6.099e-03, eta: 2:17:59, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9969, loss_cls: 0.2006, loss: 0.2006 +2025-07-02 10:30:56,994 - pyskl - INFO - Epoch [101][700/898] lr: 6.074e-03, eta: 2:17:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9506, top5_acc: 0.9975, loss_cls: 0.2501, loss: 0.2501 +2025-07-02 10:31:14,831 - pyskl - INFO - Epoch [101][800/898] lr: 6.049e-03, eta: 2:17:21, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9544, top5_acc: 0.9975, loss_cls: 0.2433, loss: 0.2433 +2025-07-02 10:31:33,226 - pyskl - INFO - Saving checkpoint at 101 epochs +2025-07-02 10:32:10,318 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:32:10,347 - pyskl - INFO - +top1_acc 0.9544 +top5_acc 0.9951 +2025-07-02 10:32:10,348 - pyskl - INFO - Epoch(val) [101][450] top1_acc: 0.9544, top5_acc: 0.9951 +2025-07-02 10:32:53,495 - pyskl - INFO - Epoch [102][100/898] lr: 6.000e-03, eta: 2:16:47, time: 0.431, data_time: 0.244, memory: 2903, top1_acc: 0.9675, top5_acc: 1.0000, loss_cls: 0.1924, loss: 0.1924 +2025-07-02 10:33:11,482 - pyskl - INFO - Epoch [102][200/898] lr: 5.975e-03, eta: 2:16:28, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9975, loss_cls: 0.2314, loss: 0.2314 +2025-07-02 10:33:29,919 - pyskl - INFO - Epoch [102][300/898] lr: 5.950e-03, eta: 2:16:09, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9988, loss_cls: 0.1820, loss: 0.1820 +2025-07-02 10:33:47,745 - pyskl - INFO - Epoch [102][400/898] lr: 5.925e-03, eta: 2:15:50, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9619, top5_acc: 0.9981, loss_cls: 0.2107, loss: 0.2107 +2025-07-02 10:34:05,883 - pyskl - INFO - Epoch [102][500/898] lr: 5.901e-03, eta: 2:15:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9613, top5_acc: 0.9944, loss_cls: 0.2477, loss: 0.2477 +2025-07-02 10:34:24,219 - pyskl - INFO - Epoch [102][600/898] lr: 5.876e-03, eta: 2:15:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9519, top5_acc: 0.9962, loss_cls: 0.2442, loss: 0.2442 +2025-07-02 10:34:42,414 - pyskl - INFO - Epoch [102][700/898] lr: 5.851e-03, eta: 2:14:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.2110, loss: 0.2110 +2025-07-02 10:35:00,493 - pyskl - INFO - Epoch [102][800/898] lr: 5.827e-03, eta: 2:14:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9975, loss_cls: 0.2192, loss: 0.2192 +2025-07-02 10:35:18,754 - pyskl - INFO - Saving checkpoint at 102 epochs +2025-07-02 10:35:56,028 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:35:56,052 - pyskl - INFO - +top1_acc 0.9509 +top5_acc 0.9949 +2025-07-02 10:35:56,053 - pyskl - INFO - Epoch(val) [102][450] top1_acc: 0.9509, top5_acc: 0.9949 +2025-07-02 10:36:38,599 - pyskl - INFO - Epoch [103][100/898] lr: 5.778e-03, eta: 2:14:00, time: 0.425, data_time: 0.238, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1729, loss: 0.1729 +2025-07-02 10:36:56,342 - pyskl - INFO - Epoch [103][200/898] lr: 5.753e-03, eta: 2:13:40, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9994, loss_cls: 0.1851, loss: 0.1851 +2025-07-02 10:37:14,231 - pyskl - INFO - Epoch [103][300/898] lr: 5.729e-03, eta: 2:13:21, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1808, loss: 0.1808 +2025-07-02 10:37:32,138 - pyskl - INFO - Epoch [103][400/898] lr: 5.704e-03, eta: 2:13:02, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1710, loss: 0.1710 +2025-07-02 10:37:49,999 - pyskl - INFO - Epoch [103][500/898] lr: 5.680e-03, eta: 2:12:43, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9575, top5_acc: 0.9962, loss_cls: 0.2187, loss: 0.2187 +2025-07-02 10:38:08,054 - pyskl - INFO - Epoch [103][600/898] lr: 5.655e-03, eta: 2:12:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9581, top5_acc: 0.9975, loss_cls: 0.2184, loss: 0.2184 +2025-07-02 10:38:26,988 - pyskl - INFO - Epoch [103][700/898] lr: 5.631e-03, eta: 2:12:06, time: 0.189, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9988, loss_cls: 0.2177, loss: 0.2177 +2025-07-02 10:38:45,602 - pyskl - INFO - Epoch [103][800/898] lr: 5.607e-03, eta: 2:11:47, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9981, loss_cls: 0.1790, loss: 0.1790 +2025-07-02 10:39:03,854 - pyskl - INFO - Saving checkpoint at 103 epochs +2025-07-02 10:39:41,251 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:39:41,274 - pyskl - INFO - +top1_acc 0.9482 +top5_acc 0.9954 +2025-07-02 10:39:41,275 - pyskl - INFO - Epoch(val) [103][450] top1_acc: 0.9482, top5_acc: 0.9954 +2025-07-02 10:40:24,571 - pyskl - INFO - Epoch [104][100/898] lr: 5.559e-03, eta: 2:11:13, time: 0.433, data_time: 0.244, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9975, loss_cls: 0.1754, loss: 0.1754 +2025-07-02 10:40:42,922 - pyskl - INFO - Epoch [104][200/898] lr: 5.534e-03, eta: 2:10:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9994, loss_cls: 0.1826, loss: 0.1826 +2025-07-02 10:41:01,400 - pyskl - INFO - Epoch [104][300/898] lr: 5.510e-03, eta: 2:10:35, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9981, loss_cls: 0.1747, loss: 0.1747 +2025-07-02 10:41:19,969 - pyskl - INFO - Epoch [104][400/898] lr: 5.486e-03, eta: 2:10:16, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9563, top5_acc: 0.9981, loss_cls: 0.2109, loss: 0.2109 +2025-07-02 10:41:37,728 - pyskl - INFO - Epoch [104][500/898] lr: 5.462e-03, eta: 2:09:57, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.2174, loss: 0.2174 +2025-07-02 10:41:55,882 - pyskl - INFO - Epoch [104][600/898] lr: 5.438e-03, eta: 2:09:38, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 1.0000, loss_cls: 0.1756, loss: 0.1756 +2025-07-02 10:42:14,180 - pyskl - INFO - Epoch [104][700/898] lr: 5.414e-03, eta: 2:09:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9569, top5_acc: 0.9988, loss_cls: 0.2130, loss: 0.2130 +2025-07-02 10:42:32,366 - pyskl - INFO - Epoch [104][800/898] lr: 5.390e-03, eta: 2:09:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9688, top5_acc: 0.9981, loss_cls: 0.1961, loss: 0.1961 +2025-07-02 10:42:50,742 - pyskl - INFO - Saving checkpoint at 104 epochs +2025-07-02 10:43:27,554 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:43:27,583 - pyskl - INFO - +top1_acc 0.9562 +top5_acc 0.9965 +2025-07-02 10:43:27,587 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_94.pth was removed +2025-07-02 10:43:27,782 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2025-07-02 10:43:27,782 - pyskl - INFO - Best top1_acc is 0.9562 at 104 epoch. +2025-07-02 10:43:27,784 - pyskl - INFO - Epoch(val) [104][450] top1_acc: 0.9562, top5_acc: 0.9965 +2025-07-02 10:44:09,644 - pyskl - INFO - Epoch [105][100/898] lr: 5.342e-03, eta: 2:08:26, time: 0.419, data_time: 0.231, memory: 2903, top1_acc: 0.9606, top5_acc: 0.9994, loss_cls: 0.2181, loss: 0.2181 +2025-07-02 10:44:27,896 - pyskl - INFO - Epoch [105][200/898] lr: 5.319e-03, eta: 2:08:07, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9625, top5_acc: 0.9975, loss_cls: 0.1887, loss: 0.1887 +2025-07-02 10:44:46,157 - pyskl - INFO - Epoch [105][300/898] lr: 5.295e-03, eta: 2:07:48, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9988, loss_cls: 0.2006, loss: 0.2006 +2025-07-02 10:45:03,996 - pyskl - INFO - Epoch [105][400/898] lr: 5.271e-03, eta: 2:07:29, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1715, loss: 0.1715 +2025-07-02 10:45:22,396 - pyskl - INFO - Epoch [105][500/898] lr: 5.247e-03, eta: 2:07:10, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1734, loss: 0.1734 +2025-07-02 10:45:40,676 - pyskl - INFO - Epoch [105][600/898] lr: 5.223e-03, eta: 2:06:51, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9600, top5_acc: 0.9969, loss_cls: 0.2126, loss: 0.2126 +2025-07-02 10:45:58,660 - pyskl - INFO - Epoch [105][700/898] lr: 5.200e-03, eta: 2:06:32, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9975, loss_cls: 0.1623, loss: 0.1623 +2025-07-02 10:46:16,508 - pyskl - INFO - Epoch [105][800/898] lr: 5.176e-03, eta: 2:06:13, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1558, loss: 0.1558 +2025-07-02 10:46:35,589 - pyskl - INFO - Saving checkpoint at 105 epochs +2025-07-02 10:47:12,306 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:47:12,329 - pyskl - INFO - +top1_acc 0.9456 +top5_acc 0.9921 +2025-07-02 10:47:12,330 - pyskl - INFO - Epoch(val) [105][450] top1_acc: 0.9456, top5_acc: 0.9921 +2025-07-02 10:47:55,230 - pyskl - INFO - Epoch [106][100/898] lr: 5.129e-03, eta: 2:05:38, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9981, loss_cls: 0.1833, loss: 0.1833 +2025-07-02 10:48:13,571 - pyskl - INFO - Epoch [106][200/898] lr: 5.106e-03, eta: 2:05:20, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9994, loss_cls: 0.1617, loss: 0.1617 +2025-07-02 10:48:31,899 - pyskl - INFO - Epoch [106][300/898] lr: 5.082e-03, eta: 2:05:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9994, loss_cls: 0.1331, loss: 0.1331 +2025-07-02 10:48:49,863 - pyskl - INFO - Epoch [106][400/898] lr: 5.059e-03, eta: 2:04:42, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9969, loss_cls: 0.1548, loss: 0.1548 +2025-07-02 10:49:08,225 - pyskl - INFO - Epoch [106][500/898] lr: 5.035e-03, eta: 2:04:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9988, loss_cls: 0.1710, loss: 0.1710 +2025-07-02 10:49:26,585 - pyskl - INFO - Epoch [106][600/898] lr: 5.012e-03, eta: 2:04:04, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9994, loss_cls: 0.1792, loss: 0.1792 +2025-07-02 10:49:44,878 - pyskl - INFO - Epoch [106][700/898] lr: 4.989e-03, eta: 2:03:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.1912, loss: 0.1912 +2025-07-02 10:50:02,964 - pyskl - INFO - Epoch [106][800/898] lr: 4.966e-03, eta: 2:03:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9994, loss_cls: 0.1784, loss: 0.1784 +2025-07-02 10:50:21,508 - pyskl - INFO - Saving checkpoint at 106 epochs +2025-07-02 10:51:00,309 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:51:00,337 - pyskl - INFO - +top1_acc 0.9498 +top5_acc 0.9954 +2025-07-02 10:51:00,339 - pyskl - INFO - Epoch(val) [106][450] top1_acc: 0.9498, top5_acc: 0.9954 +2025-07-02 10:51:43,579 - pyskl - INFO - Epoch [107][100/898] lr: 4.920e-03, eta: 2:02:52, time: 0.432, data_time: 0.249, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9988, loss_cls: 0.1741, loss: 0.1741 +2025-07-02 10:52:01,464 - pyskl - INFO - Epoch [107][200/898] lr: 4.896e-03, eta: 2:02:33, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1507, loss: 0.1507 +2025-07-02 10:52:20,219 - pyskl - INFO - Epoch [107][300/898] lr: 4.873e-03, eta: 2:02:14, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1475, loss: 0.1475 +2025-07-02 10:52:38,377 - pyskl - INFO - Epoch [107][400/898] lr: 4.850e-03, eta: 2:01:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1502, loss: 0.1502 +2025-07-02 10:52:56,386 - pyskl - INFO - Epoch [107][500/898] lr: 4.827e-03, eta: 2:01:36, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9962, loss_cls: 0.1736, loss: 0.1736 +2025-07-02 10:53:14,528 - pyskl - INFO - Epoch [107][600/898] lr: 4.804e-03, eta: 2:01:17, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9981, loss_cls: 0.1833, loss: 0.1833 +2025-07-02 10:53:33,085 - pyskl - INFO - Epoch [107][700/898] lr: 4.781e-03, eta: 2:00:58, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9631, top5_acc: 0.9994, loss_cls: 0.1817, loss: 0.1817 +2025-07-02 10:53:51,218 - pyskl - INFO - Epoch [107][800/898] lr: 4.758e-03, eta: 2:00:39, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9637, top5_acc: 0.9981, loss_cls: 0.1850, loss: 0.1850 +2025-07-02 10:54:09,568 - pyskl - INFO - Saving checkpoint at 107 epochs +2025-07-02 10:54:46,668 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:54:46,696 - pyskl - INFO - +top1_acc 0.9592 +top5_acc 0.9960 +2025-07-02 10:54:46,701 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_104.pth was removed +2025-07-02 10:54:46,887 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2025-07-02 10:54:46,888 - pyskl - INFO - Best top1_acc is 0.9592 at 107 epoch. +2025-07-02 10:54:46,889 - pyskl - INFO - Epoch(val) [107][450] top1_acc: 0.9592, top5_acc: 0.9960 +2025-07-02 10:55:29,785 - pyskl - INFO - Epoch [108][100/898] lr: 4.713e-03, eta: 2:00:05, time: 0.429, data_time: 0.243, memory: 2903, top1_acc: 0.9738, top5_acc: 0.9988, loss_cls: 0.1474, loss: 0.1474 +2025-07-02 10:55:47,738 - pyskl - INFO - Epoch [108][200/898] lr: 4.690e-03, eta: 1:59:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9706, top5_acc: 0.9988, loss_cls: 0.1588, loss: 0.1588 +2025-07-02 10:56:06,511 - pyskl - INFO - Epoch [108][300/898] lr: 4.668e-03, eta: 1:59:27, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9694, top5_acc: 0.9988, loss_cls: 0.1901, loss: 0.1901 +2025-07-02 10:56:24,548 - pyskl - INFO - Epoch [108][400/898] lr: 4.645e-03, eta: 1:59:08, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1212, loss: 0.1212 +2025-07-02 10:56:42,647 - pyskl - INFO - Epoch [108][500/898] lr: 4.622e-03, eta: 1:58:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1456, loss: 0.1456 +2025-07-02 10:57:00,816 - pyskl - INFO - Epoch [108][600/898] lr: 4.600e-03, eta: 1:58:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1320, loss: 0.1320 +2025-07-02 10:57:19,059 - pyskl - INFO - Epoch [108][700/898] lr: 4.577e-03, eta: 1:58:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9988, loss_cls: 0.1510, loss: 0.1510 +2025-07-02 10:57:37,011 - pyskl - INFO - Epoch [108][800/898] lr: 4.554e-03, eta: 1:57:52, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 1.0000, loss_cls: 0.1586, loss: 0.1586 +2025-07-02 10:57:55,373 - pyskl - INFO - Saving checkpoint at 108 epochs +2025-07-02 10:58:32,181 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 10:58:32,204 - pyskl - INFO - +top1_acc 0.9599 +top5_acc 0.9955 +2025-07-02 10:58:32,208 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_107.pth was removed +2025-07-02 10:58:32,384 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2025-07-02 10:58:32,384 - pyskl - INFO - Best top1_acc is 0.9599 at 108 epoch. +2025-07-02 10:58:32,386 - pyskl - INFO - Epoch(val) [108][450] top1_acc: 0.9599, top5_acc: 0.9955 +2025-07-02 10:59:15,312 - pyskl - INFO - Epoch [109][100/898] lr: 4.510e-03, eta: 1:57:18, time: 0.429, data_time: 0.246, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1526, loss: 0.1526 +2025-07-02 10:59:33,535 - pyskl - INFO - Epoch [109][200/898] lr: 4.488e-03, eta: 1:56:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9981, loss_cls: 0.1599, loss: 0.1599 +2025-07-02 10:59:51,783 - pyskl - INFO - Epoch [109][300/898] lr: 4.465e-03, eta: 1:56:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9712, top5_acc: 0.9988, loss_cls: 0.1869, loss: 0.1869 +2025-07-02 11:00:09,962 - pyskl - INFO - Epoch [109][400/898] lr: 4.443e-03, eta: 1:56:21, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9675, top5_acc: 0.9950, loss_cls: 0.1810, loss: 0.1810 +2025-07-02 11:00:28,541 - pyskl - INFO - Epoch [109][500/898] lr: 4.421e-03, eta: 1:56:02, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9719, top5_acc: 0.9994, loss_cls: 0.1612, loss: 0.1612 +2025-07-02 11:00:46,977 - pyskl - INFO - Epoch [109][600/898] lr: 4.398e-03, eta: 1:55:43, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9994, loss_cls: 0.1226, loss: 0.1226 +2025-07-02 11:01:05,007 - pyskl - INFO - Epoch [109][700/898] lr: 4.376e-03, eta: 1:55:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9656, top5_acc: 0.9988, loss_cls: 0.1671, loss: 0.1671 +2025-07-02 11:01:23,533 - pyskl - INFO - Epoch [109][800/898] lr: 4.354e-03, eta: 1:55:06, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1541, loss: 0.1541 +2025-07-02 11:01:42,028 - pyskl - INFO - Saving checkpoint at 109 epochs +2025-07-02 11:02:19,535 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:02:19,558 - pyskl - INFO - +top1_acc 0.9634 +top5_acc 0.9962 +2025-07-02 11:02:19,562 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_108.pth was removed +2025-07-02 11:02:19,753 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_109.pth. +2025-07-02 11:02:19,753 - pyskl - INFO - Best top1_acc is 0.9634 at 109 epoch. +2025-07-02 11:02:19,755 - pyskl - INFO - Epoch(val) [109][450] top1_acc: 0.9634, top5_acc: 0.9962 +2025-07-02 11:03:02,316 - pyskl - INFO - Epoch [110][100/898] lr: 4.310e-03, eta: 1:54:31, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9981, loss_cls: 0.1524, loss: 0.1524 +2025-07-02 11:03:20,487 - pyskl - INFO - Epoch [110][200/898] lr: 4.288e-03, eta: 1:54:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1458, loss: 0.1458 +2025-07-02 11:03:38,706 - pyskl - INFO - Epoch [110][300/898] lr: 4.266e-03, eta: 1:53:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 1.0000, loss_cls: 0.1523, loss: 0.1523 +2025-07-02 11:03:56,838 - pyskl - INFO - Epoch [110][400/898] lr: 4.245e-03, eta: 1:53:34, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1444, loss: 0.1444 +2025-07-02 11:04:15,073 - pyskl - INFO - Epoch [110][500/898] lr: 4.223e-03, eta: 1:53:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9731, top5_acc: 0.9981, loss_cls: 0.1587, loss: 0.1587 +2025-07-02 11:04:33,297 - pyskl - INFO - Epoch [110][600/898] lr: 4.201e-03, eta: 1:52:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9738, top5_acc: 1.0000, loss_cls: 0.1536, loss: 0.1536 +2025-07-02 11:04:51,793 - pyskl - INFO - Epoch [110][700/898] lr: 4.179e-03, eta: 1:52:37, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1284, loss: 0.1284 +2025-07-02 11:05:09,945 - pyskl - INFO - Epoch [110][800/898] lr: 4.157e-03, eta: 1:52:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9681, top5_acc: 0.9988, loss_cls: 0.1733, loss: 0.1733 +2025-07-02 11:05:28,545 - pyskl - INFO - Saving checkpoint at 110 epochs +2025-07-02 11:06:05,591 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:06:05,621 - pyskl - INFO - +top1_acc 0.9630 +top5_acc 0.9965 +2025-07-02 11:06:05,622 - pyskl - INFO - Epoch(val) [110][450] top1_acc: 0.9630, top5_acc: 0.9965 +2025-07-02 11:06:48,229 - pyskl - INFO - Epoch [111][100/898] lr: 4.114e-03, eta: 1:51:43, time: 0.426, data_time: 0.241, memory: 2903, top1_acc: 0.9769, top5_acc: 0.9988, loss_cls: 0.1386, loss: 0.1386 +2025-07-02 11:07:06,696 - pyskl - INFO - Epoch [111][200/898] lr: 4.093e-03, eta: 1:51:25, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9981, loss_cls: 0.1422, loss: 0.1422 +2025-07-02 11:07:24,961 - pyskl - INFO - Epoch [111][300/898] lr: 4.071e-03, eta: 1:51:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9994, loss_cls: 0.1461, loss: 0.1461 +2025-07-02 11:07:43,382 - pyskl - INFO - Epoch [111][400/898] lr: 4.050e-03, eta: 1:50:47, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.1284, loss: 0.1284 +2025-07-02 11:08:01,332 - pyskl - INFO - Epoch [111][500/898] lr: 4.028e-03, eta: 1:50:28, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9994, loss_cls: 0.1257, loss: 0.1257 +2025-07-02 11:08:19,239 - pyskl - INFO - Epoch [111][600/898] lr: 4.007e-03, eta: 1:50:09, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9975, loss_cls: 0.1430, loss: 0.1430 +2025-07-02 11:08:37,499 - pyskl - INFO - Epoch [111][700/898] lr: 3.986e-03, eta: 1:49:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9975, loss_cls: 0.1483, loss: 0.1483 +2025-07-02 11:08:55,396 - pyskl - INFO - Epoch [111][800/898] lr: 3.964e-03, eta: 1:49:31, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9756, top5_acc: 0.9981, loss_cls: 0.1421, loss: 0.1421 +2025-07-02 11:09:14,081 - pyskl - INFO - Saving checkpoint at 111 epochs +2025-07-02 11:09:52,971 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:09:52,996 - pyskl - INFO - +top1_acc 0.9645 +top5_acc 0.9962 +2025-07-02 11:09:53,000 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_109.pth was removed +2025-07-02 11:09:53,174 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_111.pth. +2025-07-02 11:09:53,174 - pyskl - INFO - Best top1_acc is 0.9645 at 111 epoch. +2025-07-02 11:09:53,176 - pyskl - INFO - Epoch(val) [111][450] top1_acc: 0.9645, top5_acc: 0.9962 +2025-07-02 11:10:35,824 - pyskl - INFO - Epoch [112][100/898] lr: 3.922e-03, eta: 1:48:56, time: 0.426, data_time: 0.242, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.1277, loss: 0.1277 +2025-07-02 11:10:54,322 - pyskl - INFO - Epoch [112][200/898] lr: 3.901e-03, eta: 1:48:37, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9994, loss_cls: 0.1285, loss: 0.1285 +2025-07-02 11:11:12,342 - pyskl - INFO - Epoch [112][300/898] lr: 3.880e-03, eta: 1:48:18, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9988, loss_cls: 0.1272, loss: 0.1272 +2025-07-02 11:11:30,216 - pyskl - INFO - Epoch [112][400/898] lr: 3.859e-03, eta: 1:47:59, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9988, loss_cls: 0.1201, loss: 0.1201 +2025-07-02 11:11:48,325 - pyskl - INFO - Epoch [112][500/898] lr: 3.838e-03, eta: 1:47:40, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9969, loss_cls: 0.1336, loss: 0.1336 +2025-07-02 11:12:06,771 - pyskl - INFO - Epoch [112][600/898] lr: 3.817e-03, eta: 1:47:21, time: 0.184, data_time: 0.001, memory: 2903, top1_acc: 0.9769, top5_acc: 1.0000, loss_cls: 0.1435, loss: 0.1435 +2025-07-02 11:12:24,948 - pyskl - INFO - Epoch [112][700/898] lr: 3.796e-03, eta: 1:47:02, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1195, loss: 0.1195 +2025-07-02 11:12:43,076 - pyskl - INFO - Epoch [112][800/898] lr: 3.775e-03, eta: 1:46:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9988, loss_cls: 0.1323, loss: 0.1323 +2025-07-02 11:13:01,561 - pyskl - INFO - Saving checkpoint at 112 epochs +2025-07-02 11:13:38,426 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:13:38,454 - pyskl - INFO - +top1_acc 0.9559 +top5_acc 0.9960 +2025-07-02 11:13:38,456 - pyskl - INFO - Epoch(val) [112][450] top1_acc: 0.9559, top5_acc: 0.9960 +2025-07-02 11:14:20,867 - pyskl - INFO - Epoch [113][100/898] lr: 3.734e-03, eta: 1:46:08, time: 0.424, data_time: 0.242, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9988, loss_cls: 0.1215, loss: 0.1215 +2025-07-02 11:14:38,685 - pyskl - INFO - Epoch [113][200/898] lr: 3.713e-03, eta: 1:45:49, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1081, loss: 0.1081 +2025-07-02 11:14:56,743 - pyskl - INFO - Epoch [113][300/898] lr: 3.692e-03, eta: 1:45:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9794, top5_acc: 0.9981, loss_cls: 0.1272, loss: 0.1272 +2025-07-02 11:15:14,931 - pyskl - INFO - Epoch [113][400/898] lr: 3.671e-03, eta: 1:45:11, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1384, loss: 0.1384 +2025-07-02 11:15:32,856 - pyskl - INFO - Epoch [113][500/898] lr: 3.651e-03, eta: 1:44:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1206, loss: 0.1206 +2025-07-02 11:15:51,042 - pyskl - INFO - Epoch [113][600/898] lr: 3.630e-03, eta: 1:44:34, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9700, top5_acc: 0.9975, loss_cls: 0.1581, loss: 0.1581 +2025-07-02 11:16:09,020 - pyskl - INFO - Epoch [113][700/898] lr: 3.610e-03, eta: 1:44:15, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9762, top5_acc: 0.9988, loss_cls: 0.1369, loss: 0.1369 +2025-07-02 11:16:27,090 - pyskl - INFO - Epoch [113][800/898] lr: 3.589e-03, eta: 1:43:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.1237, loss: 0.1237 +2025-07-02 11:16:45,598 - pyskl - INFO - Saving checkpoint at 113 epochs +2025-07-02 11:17:22,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:17:23,006 - pyskl - INFO - +top1_acc 0.9631 +top5_acc 0.9958 +2025-07-02 11:17:23,007 - pyskl - INFO - Epoch(val) [113][450] top1_acc: 0.9631, top5_acc: 0.9958 +2025-07-02 11:18:06,017 - pyskl - INFO - Epoch [114][100/898] lr: 3.549e-03, eta: 1:43:21, time: 0.430, data_time: 0.247, memory: 2903, top1_acc: 0.9850, top5_acc: 1.0000, loss_cls: 0.1013, loss: 0.1013 +2025-07-02 11:18:24,404 - pyskl - INFO - Epoch [114][200/898] lr: 3.529e-03, eta: 1:43:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.1247, loss: 0.1247 +2025-07-02 11:18:42,502 - pyskl - INFO - Epoch [114][300/898] lr: 3.508e-03, eta: 1:42:43, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0997, loss: 0.0997 +2025-07-02 11:19:00,644 - pyskl - INFO - Epoch [114][400/898] lr: 3.488e-03, eta: 1:42:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 1.0000, loss_cls: 0.1217, loss: 0.1217 +2025-07-02 11:19:18,729 - pyskl - INFO - Epoch [114][500/898] lr: 3.468e-03, eta: 1:42:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9788, top5_acc: 0.9988, loss_cls: 0.1277, loss: 0.1277 +2025-07-02 11:19:37,283 - pyskl - INFO - Epoch [114][600/898] lr: 3.448e-03, eta: 1:41:46, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0965, loss: 0.0965 +2025-07-02 11:19:55,516 - pyskl - INFO - Epoch [114][700/898] lr: 3.428e-03, eta: 1:41:27, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9744, top5_acc: 0.9975, loss_cls: 0.1391, loss: 0.1391 +2025-07-02 11:20:13,719 - pyskl - INFO - Epoch [114][800/898] lr: 3.408e-03, eta: 1:41:09, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0962, loss: 0.0962 +2025-07-02 11:20:31,935 - pyskl - INFO - Saving checkpoint at 114 epochs +2025-07-02 11:21:09,045 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:21:09,076 - pyskl - INFO - +top1_acc 0.9634 +top5_acc 0.9961 +2025-07-02 11:21:09,078 - pyskl - INFO - Epoch(val) [114][450] top1_acc: 0.9634, top5_acc: 0.9961 +2025-07-02 11:21:53,565 - pyskl - INFO - Epoch [115][100/898] lr: 3.368e-03, eta: 1:40:34, time: 0.445, data_time: 0.257, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0987, loss: 0.0987 +2025-07-02 11:22:12,083 - pyskl - INFO - Epoch [115][200/898] lr: 3.348e-03, eta: 1:40:15, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.1004, loss: 0.1004 +2025-07-02 11:22:30,617 - pyskl - INFO - Epoch [115][300/898] lr: 3.328e-03, eta: 1:39:56, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1072, loss: 0.1072 +2025-07-02 11:22:48,837 - pyskl - INFO - Epoch [115][400/898] lr: 3.309e-03, eta: 1:39:37, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9981, loss_cls: 0.1218, loss: 0.1218 +2025-07-02 11:23:07,489 - pyskl - INFO - Epoch [115][500/898] lr: 3.289e-03, eta: 1:39:19, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0784, loss: 0.0784 +2025-07-02 11:23:26,112 - pyskl - INFO - Epoch [115][600/898] lr: 3.269e-03, eta: 1:39:00, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9981, loss_cls: 0.1118, loss: 0.1118 +2025-07-02 11:23:44,196 - pyskl - INFO - Epoch [115][700/898] lr: 3.250e-03, eta: 1:38:41, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0915, loss: 0.0915 +2025-07-02 11:24:02,903 - pyskl - INFO - Epoch [115][800/898] lr: 3.230e-03, eta: 1:38:22, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9981, loss_cls: 0.1140, loss: 0.1140 +2025-07-02 11:24:21,543 - pyskl - INFO - Saving checkpoint at 115 epochs +2025-07-02 11:24:59,539 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:24:59,562 - pyskl - INFO - +top1_acc 0.9620 +top5_acc 0.9961 +2025-07-02 11:24:59,563 - pyskl - INFO - Epoch(val) [115][450] top1_acc: 0.9620, top5_acc: 0.9961 +2025-07-02 11:25:43,650 - pyskl - INFO - Epoch [116][100/898] lr: 3.191e-03, eta: 1:37:47, time: 0.441, data_time: 0.252, memory: 2903, top1_acc: 0.9800, top5_acc: 1.0000, loss_cls: 0.1117, loss: 0.1117 +2025-07-02 11:26:01,796 - pyskl - INFO - Epoch [116][200/898] lr: 3.172e-03, eta: 1:37:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9981, loss_cls: 0.1128, loss: 0.1128 +2025-07-02 11:26:19,799 - pyskl - INFO - Epoch [116][300/898] lr: 3.153e-03, eta: 1:37:09, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9725, top5_acc: 0.9988, loss_cls: 0.1533, loss: 0.1533 +2025-07-02 11:26:38,023 - pyskl - INFO - Epoch [116][400/898] lr: 3.133e-03, eta: 1:36:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9975, loss_cls: 0.1307, loss: 0.1307 +2025-07-02 11:26:56,119 - pyskl - INFO - Epoch [116][500/898] lr: 3.114e-03, eta: 1:36:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1328, loss: 0.1328 +2025-07-02 11:27:14,574 - pyskl - INFO - Epoch [116][600/898] lr: 3.095e-03, eta: 1:36:13, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0939, loss: 0.0939 +2025-07-02 11:27:32,560 - pyskl - INFO - Epoch [116][700/898] lr: 3.076e-03, eta: 1:35:54, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0922, loss: 0.0922 +2025-07-02 11:27:50,616 - pyskl - INFO - Epoch [116][800/898] lr: 3.056e-03, eta: 1:35:35, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.1048, loss: 0.1048 +2025-07-02 11:28:09,204 - pyskl - INFO - Saving checkpoint at 116 epochs +2025-07-02 11:28:47,023 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:28:47,045 - pyskl - INFO - +top1_acc 0.9651 +top5_acc 0.9957 +2025-07-02 11:28:47,049 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_111.pth was removed +2025-07-02 11:28:47,247 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2025-07-02 11:28:47,248 - pyskl - INFO - Best top1_acc is 0.9651 at 116 epoch. +2025-07-02 11:28:47,249 - pyskl - INFO - Epoch(val) [116][450] top1_acc: 0.9651, top5_acc: 0.9957 +2025-07-02 11:29:29,353 - pyskl - INFO - Epoch [117][100/898] lr: 3.019e-03, eta: 1:34:59, time: 0.421, data_time: 0.239, memory: 2903, top1_acc: 0.9750, top5_acc: 0.9981, loss_cls: 0.1174, loss: 0.1174 +2025-07-02 11:29:47,869 - pyskl - INFO - Epoch [117][200/898] lr: 3.000e-03, eta: 1:34:41, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0957, loss: 0.0957 +2025-07-02 11:30:06,197 - pyskl - INFO - Epoch [117][300/898] lr: 2.981e-03, eta: 1:34:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 11:30:24,096 - pyskl - INFO - Epoch [117][400/898] lr: 2.962e-03, eta: 1:34:03, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9988, loss_cls: 0.1151, loss: 0.1151 +2025-07-02 11:30:42,304 - pyskl - INFO - Epoch [117][500/898] lr: 2.943e-03, eta: 1:33:44, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9981, loss_cls: 0.1052, loss: 0.1052 +2025-07-02 11:31:00,654 - pyskl - INFO - Epoch [117][600/898] lr: 2.924e-03, eta: 1:33:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9981, loss_cls: 0.1121, loss: 0.1121 +2025-07-02 11:31:18,441 - pyskl - INFO - Epoch [117][700/898] lr: 2.906e-03, eta: 1:33:06, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0986, loss: 0.0986 +2025-07-02 11:31:36,728 - pyskl - INFO - Epoch [117][800/898] lr: 2.887e-03, eta: 1:32:47, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0962, loss: 0.0962 +2025-07-02 11:31:55,335 - pyskl - INFO - Saving checkpoint at 117 epochs +2025-07-02 11:32:33,195 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:32:33,223 - pyskl - INFO - +top1_acc 0.9628 +top5_acc 0.9954 +2025-07-02 11:32:33,224 - pyskl - INFO - Epoch(val) [117][450] top1_acc: 0.9628, top5_acc: 0.9954 +2025-07-02 11:33:15,770 - pyskl - INFO - Epoch [118][100/898] lr: 2.850e-03, eta: 1:32:12, time: 0.425, data_time: 0.238, memory: 2903, top1_acc: 0.9775, top5_acc: 0.9981, loss_cls: 0.1266, loss: 0.1266 +2025-07-02 11:33:33,691 - pyskl - INFO - Epoch [118][200/898] lr: 2.832e-03, eta: 1:31:53, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0701, loss: 0.0701 +2025-07-02 11:33:51,640 - pyskl - INFO - Epoch [118][300/898] lr: 2.813e-03, eta: 1:31:34, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9988, loss_cls: 0.0726, loss: 0.0726 +2025-07-02 11:34:09,870 - pyskl - INFO - Epoch [118][400/898] lr: 2.795e-03, eta: 1:31:15, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0738, loss: 0.0738 +2025-07-02 11:34:28,024 - pyskl - INFO - Epoch [118][500/898] lr: 2.777e-03, eta: 1:30:56, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0737, loss: 0.0737 +2025-07-02 11:34:46,148 - pyskl - INFO - Epoch [118][600/898] lr: 2.758e-03, eta: 1:30:37, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 1.0000, loss_cls: 0.0948, loss: 0.0948 +2025-07-02 11:35:04,264 - pyskl - INFO - Epoch [118][700/898] lr: 2.740e-03, eta: 1:30:18, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9800, top5_acc: 0.9988, loss_cls: 0.1057, loss: 0.1057 +2025-07-02 11:35:22,453 - pyskl - INFO - Epoch [118][800/898] lr: 2.722e-03, eta: 1:29:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 11:35:41,296 - pyskl - INFO - Saving checkpoint at 118 epochs +2025-07-02 11:36:18,136 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:36:18,164 - pyskl - INFO - +top1_acc 0.9631 +top5_acc 0.9962 +2025-07-02 11:36:18,165 - pyskl - INFO - Epoch(val) [118][450] top1_acc: 0.9631, top5_acc: 0.9962 +2025-07-02 11:37:00,823 - pyskl - INFO - Epoch [119][100/898] lr: 2.686e-03, eta: 1:29:24, time: 0.427, data_time: 0.241, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9981, loss_cls: 0.1088, loss: 0.1088 +2025-07-02 11:37:19,276 - pyskl - INFO - Epoch [119][200/898] lr: 2.668e-03, eta: 1:29:05, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0871, loss: 0.0871 +2025-07-02 11:37:37,523 - pyskl - INFO - Epoch [119][300/898] lr: 2.650e-03, eta: 1:28:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0928, loss: 0.0928 +2025-07-02 11:37:55,535 - pyskl - INFO - Epoch [119][400/898] lr: 2.632e-03, eta: 1:28:27, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.1023, loss: 0.1023 +2025-07-02 11:38:13,694 - pyskl - INFO - Epoch [119][500/898] lr: 2.614e-03, eta: 1:28:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 1.0000, loss_cls: 0.0843, loss: 0.0843 +2025-07-02 11:38:31,721 - pyskl - INFO - Epoch [119][600/898] lr: 2.596e-03, eta: 1:27:49, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0971, loss: 0.0971 +2025-07-02 11:38:49,872 - pyskl - INFO - Epoch [119][700/898] lr: 2.579e-03, eta: 1:27:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 1.0000, loss_cls: 0.0956, loss: 0.0956 +2025-07-02 11:39:08,168 - pyskl - INFO - Epoch [119][800/898] lr: 2.561e-03, eta: 1:27:12, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 0.9994, loss_cls: 0.0850, loss: 0.0850 +2025-07-02 11:39:26,839 - pyskl - INFO - Saving checkpoint at 119 epochs +2025-07-02 11:40:04,123 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:40:04,164 - pyskl - INFO - +top1_acc 0.9651 +top5_acc 0.9961 +2025-07-02 11:40:04,166 - pyskl - INFO - Epoch(val) [119][450] top1_acc: 0.9651, top5_acc: 0.9961 +2025-07-02 11:40:48,509 - pyskl - INFO - Epoch [120][100/898] lr: 2.526e-03, eta: 1:26:36, time: 0.443, data_time: 0.260, memory: 2903, top1_acc: 0.9894, top5_acc: 1.0000, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 11:41:06,746 - pyskl - INFO - Epoch [120][200/898] lr: 2.508e-03, eta: 1:26:18, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0799, loss: 0.0799 +2025-07-02 11:41:24,929 - pyskl - INFO - Epoch [120][300/898] lr: 2.491e-03, eta: 1:25:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0708, loss: 0.0708 +2025-07-02 11:41:43,148 - pyskl - INFO - Epoch [120][400/898] lr: 2.473e-03, eta: 1:25:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0769, loss: 0.0769 +2025-07-02 11:42:01,237 - pyskl - INFO - Epoch [120][500/898] lr: 2.456e-03, eta: 1:25:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9831, top5_acc: 0.9988, loss_cls: 0.1043, loss: 0.1043 +2025-07-02 11:42:19,584 - pyskl - INFO - Epoch [120][600/898] lr: 2.439e-03, eta: 1:25:02, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0886, loss: 0.0886 +2025-07-02 11:42:37,793 - pyskl - INFO - Epoch [120][700/898] lr: 2.421e-03, eta: 1:24:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0869, loss: 0.0869 +2025-07-02 11:42:56,400 - pyskl - INFO - Epoch [120][800/898] lr: 2.404e-03, eta: 1:24:24, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0976, loss: 0.0976 +2025-07-02 11:43:14,872 - pyskl - INFO - Saving checkpoint at 120 epochs +2025-07-02 11:43:52,733 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:43:52,757 - pyskl - INFO - +top1_acc 0.9655 +top5_acc 0.9961 +2025-07-02 11:43:52,761 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_116.pth was removed +2025-07-02 11:43:52,944 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_120.pth. +2025-07-02 11:43:52,944 - pyskl - INFO - Best top1_acc is 0.9655 at 120 epoch. +2025-07-02 11:43:52,946 - pyskl - INFO - Epoch(val) [120][450] top1_acc: 0.9655, top5_acc: 0.9961 +2025-07-02 11:44:36,456 - pyskl - INFO - Epoch [121][100/898] lr: 2.370e-03, eta: 1:23:49, time: 0.435, data_time: 0.248, memory: 2903, top1_acc: 0.9781, top5_acc: 0.9981, loss_cls: 0.0963, loss: 0.0963 +2025-07-02 11:44:54,692 - pyskl - INFO - Epoch [121][200/898] lr: 2.353e-03, eta: 1:23:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 1.0000, loss_cls: 0.0855, loss: 0.0855 +2025-07-02 11:45:12,970 - pyskl - INFO - Epoch [121][300/898] lr: 2.336e-03, eta: 1:23:11, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0839, loss: 0.0839 +2025-07-02 11:45:30,748 - pyskl - INFO - Epoch [121][400/898] lr: 2.319e-03, eta: 1:22:52, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9812, top5_acc: 0.9994, loss_cls: 0.0864, loss: 0.0864 +2025-07-02 11:45:48,947 - pyskl - INFO - Epoch [121][500/898] lr: 2.302e-03, eta: 1:22:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9975, loss_cls: 0.0831, loss: 0.0831 +2025-07-02 11:46:06,955 - pyskl - INFO - Epoch [121][600/898] lr: 2.286e-03, eta: 1:22:14, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0560, loss: 0.0560 +2025-07-02 11:46:25,064 - pyskl - INFO - Epoch [121][700/898] lr: 2.269e-03, eta: 1:21:56, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9981, loss_cls: 0.0707, loss: 0.0707 +2025-07-02 11:46:43,055 - pyskl - INFO - Epoch [121][800/898] lr: 2.252e-03, eta: 1:21:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9825, top5_acc: 0.9994, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 11:47:01,491 - pyskl - INFO - Saving checkpoint at 121 epochs +2025-07-02 11:47:38,329 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:47:38,354 - pyskl - INFO - +top1_acc 0.9660 +top5_acc 0.9964 +2025-07-02 11:47:38,359 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_120.pth was removed +2025-07-02 11:47:38,522 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2025-07-02 11:47:38,523 - pyskl - INFO - Best top1_acc is 0.9660 at 121 epoch. +2025-07-02 11:47:38,525 - pyskl - INFO - Epoch(val) [121][450] top1_acc: 0.9660, top5_acc: 0.9964 +2025-07-02 11:48:21,710 - pyskl - INFO - Epoch [122][100/898] lr: 2.219e-03, eta: 1:21:01, time: 0.432, data_time: 0.246, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0788, loss: 0.0788 +2025-07-02 11:48:40,009 - pyskl - INFO - Epoch [122][200/898] lr: 2.203e-03, eta: 1:20:42, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0771, loss: 0.0771 +2025-07-02 11:48:58,405 - pyskl - INFO - Epoch [122][300/898] lr: 2.186e-03, eta: 1:20:23, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9850, top5_acc: 0.9994, loss_cls: 0.0867, loss: 0.0867 +2025-07-02 11:49:16,477 - pyskl - INFO - Epoch [122][400/898] lr: 2.170e-03, eta: 1:20:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9988, loss_cls: 0.0853, loss: 0.0853 +2025-07-02 11:49:34,597 - pyskl - INFO - Epoch [122][500/898] lr: 2.153e-03, eta: 1:19:46, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0717, loss: 0.0717 +2025-07-02 11:49:52,411 - pyskl - INFO - Epoch [122][600/898] lr: 2.137e-03, eta: 1:19:27, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9988, loss_cls: 0.0770, loss: 0.0770 +2025-07-02 11:50:10,570 - pyskl - INFO - Epoch [122][700/898] lr: 2.121e-03, eta: 1:19:08, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9819, top5_acc: 1.0000, loss_cls: 0.0911, loss: 0.0911 +2025-07-02 11:50:29,033 - pyskl - INFO - Epoch [122][800/898] lr: 2.104e-03, eta: 1:18:49, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9806, top5_acc: 0.9994, loss_cls: 0.0946, loss: 0.0946 +2025-07-02 11:50:47,947 - pyskl - INFO - Saving checkpoint at 122 epochs +2025-07-02 11:51:24,866 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:51:24,895 - pyskl - INFO - +top1_acc 0.9644 +top5_acc 0.9951 +2025-07-02 11:51:24,896 - pyskl - INFO - Epoch(val) [122][450] top1_acc: 0.9644, top5_acc: 0.9951 +2025-07-02 11:52:07,630 - pyskl - INFO - Epoch [123][100/898] lr: 2.073e-03, eta: 1:18:13, time: 0.427, data_time: 0.241, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0617, loss: 0.0617 +2025-07-02 11:52:25,875 - pyskl - INFO - Epoch [123][200/898] lr: 2.056e-03, eta: 1:17:54, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0801, loss: 0.0801 +2025-07-02 11:52:43,925 - pyskl - INFO - Epoch [123][300/898] lr: 2.040e-03, eta: 1:17:35, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0679, loss: 0.0679 +2025-07-02 11:53:01,949 - pyskl - INFO - Epoch [123][400/898] lr: 2.025e-03, eta: 1:17:16, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.0805, loss: 0.0805 +2025-07-02 11:53:20,683 - pyskl - INFO - Epoch [123][500/898] lr: 2.009e-03, eta: 1:16:58, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0837, loss: 0.0837 +2025-07-02 11:53:38,473 - pyskl - INFO - Epoch [123][600/898] lr: 1.993e-03, eta: 1:16:39, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 11:53:56,951 - pyskl - INFO - Epoch [123][700/898] lr: 1.977e-03, eta: 1:16:20, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0702, loss: 0.0702 +2025-07-02 11:54:15,434 - pyskl - INFO - Epoch [123][800/898] lr: 1.961e-03, eta: 1:16:01, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9994, loss_cls: 0.0789, loss: 0.0789 +2025-07-02 11:54:34,149 - pyskl - INFO - Saving checkpoint at 123 epochs +2025-07-02 11:55:11,191 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:55:11,226 - pyskl - INFO - +top1_acc 0.9704 +top5_acc 0.9968 +2025-07-02 11:55:11,233 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_121.pth was removed +2025-07-02 11:55:11,451 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_123.pth. +2025-07-02 11:55:11,452 - pyskl - INFO - Best top1_acc is 0.9704 at 123 epoch. +2025-07-02 11:55:11,454 - pyskl - INFO - Epoch(val) [123][450] top1_acc: 0.9704, top5_acc: 0.9968 +2025-07-02 11:55:54,249 - pyskl - INFO - Epoch [124][100/898] lr: 1.930e-03, eta: 1:15:25, time: 0.428, data_time: 0.239, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0821, loss: 0.0821 +2025-07-02 11:56:12,824 - pyskl - INFO - Epoch [124][200/898] lr: 1.915e-03, eta: 1:15:07, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0700, loss: 0.0700 +2025-07-02 11:56:31,105 - pyskl - INFO - Epoch [124][300/898] lr: 1.899e-03, eta: 1:14:48, time: 0.183, data_time: 0.001, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0804, loss: 0.0804 +2025-07-02 11:56:49,352 - pyskl - INFO - Epoch [124][400/898] lr: 1.884e-03, eta: 1:14:29, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0802, loss: 0.0802 +2025-07-02 11:57:07,984 - pyskl - INFO - Epoch [124][500/898] lr: 1.869e-03, eta: 1:14:10, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 11:57:26,072 - pyskl - INFO - Epoch [124][600/898] lr: 1.853e-03, eta: 1:13:51, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0720, loss: 0.0720 +2025-07-02 11:57:44,258 - pyskl - INFO - Epoch [124][700/898] lr: 1.838e-03, eta: 1:13:32, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9988, loss_cls: 0.0807, loss: 0.0807 +2025-07-02 11:58:02,696 - pyskl - INFO - Epoch [124][800/898] lr: 1.823e-03, eta: 1:13:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0658, loss: 0.0658 +2025-07-02 11:58:21,309 - pyskl - INFO - Saving checkpoint at 124 epochs +2025-07-02 11:58:58,681 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 11:58:58,704 - pyskl - INFO - +top1_acc 0.9679 +top5_acc 0.9957 +2025-07-02 11:58:58,705 - pyskl - INFO - Epoch(val) [124][450] top1_acc: 0.9679, top5_acc: 0.9957 +2025-07-02 11:59:41,642 - pyskl - INFO - Epoch [125][100/898] lr: 1.793e-03, eta: 1:12:38, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9856, top5_acc: 0.9988, loss_cls: 0.0947, loss: 0.0947 +2025-07-02 11:59:59,817 - pyskl - INFO - Epoch [125][200/898] lr: 1.778e-03, eta: 1:12:19, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9975, loss_cls: 0.0790, loss: 0.0790 +2025-07-02 12:00:18,045 - pyskl - INFO - Epoch [125][300/898] lr: 1.763e-03, eta: 1:12:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0593, loss: 0.0593 +2025-07-02 12:00:36,285 - pyskl - INFO - Epoch [125][400/898] lr: 1.748e-03, eta: 1:11:41, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 1.0000, loss_cls: 0.0703, loss: 0.0703 +2025-07-02 12:00:54,633 - pyskl - INFO - Epoch [125][500/898] lr: 1.733e-03, eta: 1:11:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9988, loss_cls: 0.0714, loss: 0.0714 +2025-07-02 12:01:12,648 - pyskl - INFO - Epoch [125][600/898] lr: 1.719e-03, eta: 1:11:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9988, loss_cls: 0.0758, loss: 0.0758 +2025-07-02 12:01:30,702 - pyskl - INFO - Epoch [125][700/898] lr: 1.704e-03, eta: 1:10:44, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9844, top5_acc: 0.9994, loss_cls: 0.0820, loss: 0.0820 +2025-07-02 12:01:49,142 - pyskl - INFO - Epoch [125][800/898] lr: 1.689e-03, eta: 1:10:26, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0611, loss: 0.0611 +2025-07-02 12:02:07,829 - pyskl - INFO - Saving checkpoint at 125 epochs +2025-07-02 12:02:45,568 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:02:45,595 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9967 +2025-07-02 12:02:45,597 - pyskl - INFO - Epoch(val) [125][450] top1_acc: 0.9691, top5_acc: 0.9967 +2025-07-02 12:03:27,943 - pyskl - INFO - Epoch [126][100/898] lr: 1.660e-03, eta: 1:09:50, time: 0.423, data_time: 0.239, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0563, loss: 0.0563 +2025-07-02 12:03:45,992 - pyskl - INFO - Epoch [126][200/898] lr: 1.646e-03, eta: 1:09:31, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0408, loss: 0.0408 +2025-07-02 12:04:04,399 - pyskl - INFO - Epoch [126][300/898] lr: 1.631e-03, eta: 1:09:12, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0419, loss: 0.0419 +2025-07-02 12:04:22,560 - pyskl - INFO - Epoch [126][400/898] lr: 1.617e-03, eta: 1:08:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0682, loss: 0.0682 +2025-07-02 12:04:41,071 - pyskl - INFO - Epoch [126][500/898] lr: 1.603e-03, eta: 1:08:34, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 1.0000, loss_cls: 0.0673, loss: 0.0673 +2025-07-02 12:04:59,214 - pyskl - INFO - Epoch [126][600/898] lr: 1.588e-03, eta: 1:08:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0464, loss: 0.0464 +2025-07-02 12:05:17,424 - pyskl - INFO - Epoch [126][700/898] lr: 1.574e-03, eta: 1:07:57, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9869, top5_acc: 0.9994, loss_cls: 0.0687, loss: 0.0687 +2025-07-02 12:05:35,508 - pyskl - INFO - Epoch [126][800/898] lr: 1.560e-03, eta: 1:07:38, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0615, loss: 0.0615 +2025-07-02 12:05:54,076 - pyskl - INFO - Saving checkpoint at 126 epochs +2025-07-02 12:06:31,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:06:31,464 - pyskl - INFO - +top1_acc 0.9688 +top5_acc 0.9971 +2025-07-02 12:06:31,465 - pyskl - INFO - Epoch(val) [126][450] top1_acc: 0.9688, top5_acc: 0.9971 +2025-07-02 12:07:14,968 - pyskl - INFO - Epoch [127][100/898] lr: 1.532e-03, eta: 1:07:02, time: 0.435, data_time: 0.243, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9981, loss_cls: 0.0688, loss: 0.0688 +2025-07-02 12:07:33,481 - pyskl - INFO - Epoch [127][200/898] lr: 1.518e-03, eta: 1:06:43, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0466, loss: 0.0466 +2025-07-02 12:07:51,633 - pyskl - INFO - Epoch [127][300/898] lr: 1.504e-03, eta: 1:06:24, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0480, loss: 0.0480 +2025-07-02 12:08:09,651 - pyskl - INFO - Epoch [127][400/898] lr: 1.491e-03, eta: 1:06:05, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 1.0000, loss_cls: 0.0777, loss: 0.0777 +2025-07-02 12:08:27,973 - pyskl - INFO - Epoch [127][500/898] lr: 1.477e-03, eta: 1:05:46, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9862, top5_acc: 0.9994, loss_cls: 0.0673, loss: 0.0673 +2025-07-02 12:08:46,076 - pyskl - INFO - Epoch [127][600/898] lr: 1.463e-03, eta: 1:05:28, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0487, loss: 0.0487 +2025-07-02 12:09:04,219 - pyskl - INFO - Epoch [127][700/898] lr: 1.449e-03, eta: 1:05:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0659, loss: 0.0659 +2025-07-02 12:09:22,569 - pyskl - INFO - Epoch [127][800/898] lr: 1.436e-03, eta: 1:04:50, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9881, top5_acc: 0.9994, loss_cls: 0.0646, loss: 0.0646 +2025-07-02 12:09:40,971 - pyskl - INFO - Saving checkpoint at 127 epochs +2025-07-02 12:10:18,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:10:18,698 - pyskl - INFO - +top1_acc 0.9667 +top5_acc 0.9965 +2025-07-02 12:10:18,700 - pyskl - INFO - Epoch(val) [127][450] top1_acc: 0.9667, top5_acc: 0.9965 +2025-07-02 12:11:02,297 - pyskl - INFO - Epoch [128][100/898] lr: 1.409e-03, eta: 1:04:14, time: 0.436, data_time: 0.243, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0647, loss: 0.0647 +2025-07-02 12:11:20,997 - pyskl - INFO - Epoch [128][200/898] lr: 1.396e-03, eta: 1:03:55, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 0.9994, loss_cls: 0.0532, loss: 0.0532 +2025-07-02 12:11:39,378 - pyskl - INFO - Epoch [128][300/898] lr: 1.382e-03, eta: 1:03:36, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9988, loss_cls: 0.0586, loss: 0.0586 +2025-07-02 12:11:57,648 - pyskl - INFO - Epoch [128][400/898] lr: 1.369e-03, eta: 1:03:17, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0696, loss: 0.0696 +2025-07-02 12:12:15,976 - pyskl - INFO - Epoch [128][500/898] lr: 1.356e-03, eta: 1:02:59, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 12:12:34,140 - pyskl - INFO - Epoch [128][600/898] lr: 1.343e-03, eta: 1:02:40, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0517, loss: 0.0517 +2025-07-02 12:12:52,625 - pyskl - INFO - Epoch [128][700/898] lr: 1.330e-03, eta: 1:02:21, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0567, loss: 0.0567 +2025-07-02 12:13:11,006 - pyskl - INFO - Epoch [128][800/898] lr: 1.316e-03, eta: 1:02:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0544, loss: 0.0544 +2025-07-02 12:13:29,579 - pyskl - INFO - Saving checkpoint at 128 epochs +2025-07-02 12:14:06,914 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:14:06,937 - pyskl - INFO - +top1_acc 0.9712 +top5_acc 0.9965 +2025-07-02 12:14:06,941 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_123.pth was removed +2025-07-02 12:14:07,108 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2025-07-02 12:14:07,108 - pyskl - INFO - Best top1_acc is 0.9712 at 128 epoch. +2025-07-02 12:14:07,110 - pyskl - INFO - Epoch(val) [128][450] top1_acc: 0.9712, top5_acc: 0.9965 +2025-07-02 12:14:50,169 - pyskl - INFO - Epoch [129][100/898] lr: 1.291e-03, eta: 1:01:26, time: 0.431, data_time: 0.245, memory: 2903, top1_acc: 0.9900, top5_acc: 1.0000, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 12:15:08,831 - pyskl - INFO - Epoch [129][200/898] lr: 1.278e-03, eta: 1:01:07, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0552, loss: 0.0552 +2025-07-02 12:15:27,237 - pyskl - INFO - Epoch [129][300/898] lr: 1.265e-03, eta: 1:00:48, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9988, loss_cls: 0.0546, loss: 0.0546 +2025-07-02 12:15:45,380 - pyskl - INFO - Epoch [129][400/898] lr: 1.252e-03, eta: 1:00:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0741, loss: 0.0741 +2025-07-02 12:16:03,498 - pyskl - INFO - Epoch [129][500/898] lr: 1.240e-03, eta: 1:00:11, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0527, loss: 0.0527 +2025-07-02 12:16:21,787 - pyskl - INFO - Epoch [129][600/898] lr: 1.227e-03, eta: 0:59:52, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0618, loss: 0.0618 +2025-07-02 12:16:39,964 - pyskl - INFO - Epoch [129][700/898] lr: 1.214e-03, eta: 0:59:33, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0409, loss: 0.0409 +2025-07-02 12:16:58,364 - pyskl - INFO - Epoch [129][800/898] lr: 1.202e-03, eta: 0:59:14, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0704, loss: 0.0704 +2025-07-02 12:17:16,844 - pyskl - INFO - Saving checkpoint at 129 epochs +2025-07-02 12:17:54,213 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:17:54,237 - pyskl - INFO - +top1_acc 0.9673 +top5_acc 0.9965 +2025-07-02 12:17:54,239 - pyskl - INFO - Epoch(val) [129][450] top1_acc: 0.9673, top5_acc: 0.9965 +2025-07-02 12:18:36,954 - pyskl - INFO - Epoch [130][100/898] lr: 1.177e-03, eta: 0:58:38, time: 0.427, data_time: 0.240, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 12:18:55,298 - pyskl - INFO - Epoch [130][200/898] lr: 1.165e-03, eta: 0:58:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0369, loss: 0.0369 +2025-07-02 12:19:13,623 - pyskl - INFO - Epoch [130][300/898] lr: 1.153e-03, eta: 0:58:00, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 12:19:32,034 - pyskl - INFO - Epoch [130][400/898] lr: 1.141e-03, eta: 0:57:42, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9838, top5_acc: 0.9994, loss_cls: 0.0748, loss: 0.0748 +2025-07-02 12:19:50,228 - pyskl - INFO - Epoch [130][500/898] lr: 1.128e-03, eta: 0:57:23, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 12:20:08,336 - pyskl - INFO - Epoch [130][600/898] lr: 1.116e-03, eta: 0:57:04, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0403, loss: 0.0403 +2025-07-02 12:20:26,600 - pyskl - INFO - Epoch [130][700/898] lr: 1.104e-03, eta: 0:56:45, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0405, loss: 0.0405 +2025-07-02 12:20:44,612 - pyskl - INFO - Epoch [130][800/898] lr: 1.092e-03, eta: 0:56:26, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0568, loss: 0.0568 +2025-07-02 12:21:03,179 - pyskl - INFO - Saving checkpoint at 130 epochs +2025-07-02 12:21:41,244 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:21:41,279 - pyskl - INFO - +top1_acc 0.9691 +top5_acc 0.9969 +2025-07-02 12:21:41,280 - pyskl - INFO - Epoch(val) [130][450] top1_acc: 0.9691, top5_acc: 0.9969 +2025-07-02 12:22:24,312 - pyskl - INFO - Epoch [131][100/898] lr: 1.069e-03, eta: 0:55:50, time: 0.430, data_time: 0.245, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0344, loss: 0.0344 +2025-07-02 12:22:42,781 - pyskl - INFO - Epoch [131][200/898] lr: 1.057e-03, eta: 0:55:31, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0511, loss: 0.0511 +2025-07-02 12:23:00,664 - pyskl - INFO - Epoch [131][300/898] lr: 1.046e-03, eta: 0:55:12, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9888, top5_acc: 1.0000, loss_cls: 0.0583, loss: 0.0583 +2025-07-02 12:23:18,868 - pyskl - INFO - Epoch [131][400/898] lr: 1.034e-03, eta: 0:54:53, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0545, loss: 0.0545 +2025-07-02 12:23:37,162 - pyskl - INFO - Epoch [131][500/898] lr: 1.022e-03, eta: 0:54:35, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0503, loss: 0.0503 +2025-07-02 12:23:55,354 - pyskl - INFO - Epoch [131][600/898] lr: 1.011e-03, eta: 0:54:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0441, loss: 0.0441 +2025-07-02 12:24:13,421 - pyskl - INFO - Epoch [131][700/898] lr: 9.993e-04, eta: 0:53:57, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0435, loss: 0.0435 +2025-07-02 12:24:32,045 - pyskl - INFO - Epoch [131][800/898] lr: 9.879e-04, eta: 0:53:38, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9912, top5_acc: 1.0000, loss_cls: 0.0432, loss: 0.0432 +2025-07-02 12:24:50,782 - pyskl - INFO - Saving checkpoint at 131 epochs +2025-07-02 12:25:28,684 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:25:28,713 - pyskl - INFO - +top1_acc 0.9702 +top5_acc 0.9962 +2025-07-02 12:25:28,714 - pyskl - INFO - Epoch(val) [131][450] top1_acc: 0.9702, top5_acc: 0.9962 +2025-07-02 12:26:11,167 - pyskl - INFO - Epoch [132][100/898] lr: 9.656e-04, eta: 0:53:02, time: 0.424, data_time: 0.238, memory: 2903, top1_acc: 0.9900, top5_acc: 0.9994, loss_cls: 0.0602, loss: 0.0602 +2025-07-02 12:26:29,629 - pyskl - INFO - Epoch [132][200/898] lr: 9.544e-04, eta: 0:52:43, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 12:26:47,710 - pyskl - INFO - Epoch [132][300/898] lr: 9.432e-04, eta: 0:52:24, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 12:27:05,852 - pyskl - INFO - Epoch [132][400/898] lr: 9.321e-04, eta: 0:52:05, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9894, top5_acc: 0.9994, loss_cls: 0.0496, loss: 0.0496 +2025-07-02 12:27:24,096 - pyskl - INFO - Epoch [132][500/898] lr: 9.211e-04, eta: 0:51:46, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9988, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 12:27:42,642 - pyskl - INFO - Epoch [132][600/898] lr: 9.102e-04, eta: 0:51:28, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0429, loss: 0.0429 +2025-07-02 12:28:00,757 - pyskl - INFO - Epoch [132][700/898] lr: 8.993e-04, eta: 0:51:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0493, loss: 0.0493 +2025-07-02 12:28:18,832 - pyskl - INFO - Epoch [132][800/898] lr: 8.884e-04, eta: 0:50:50, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 12:28:37,332 - pyskl - INFO - Saving checkpoint at 132 epochs +2025-07-02 12:29:14,584 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:29:14,607 - pyskl - INFO - +top1_acc 0.9698 +top5_acc 0.9965 +2025-07-02 12:29:14,608 - pyskl - INFO - Epoch(val) [132][450] top1_acc: 0.9698, top5_acc: 0.9965 +2025-07-02 12:29:56,034 - pyskl - INFO - Epoch [133][100/898] lr: 8.672e-04, eta: 0:50:13, time: 0.414, data_time: 0.231, memory: 2903, top1_acc: 0.9888, top5_acc: 0.9994, loss_cls: 0.0595, loss: 0.0595 +2025-07-02 12:30:14,382 - pyskl - INFO - Epoch [133][200/898] lr: 8.566e-04, eta: 0:49:55, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0541, loss: 0.0541 +2025-07-02 12:30:32,963 - pyskl - INFO - Epoch [133][300/898] lr: 8.460e-04, eta: 0:49:36, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0337, loss: 0.0337 +2025-07-02 12:30:51,450 - pyskl - INFO - Epoch [133][400/898] lr: 8.355e-04, eta: 0:49:17, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0192, loss: 0.0192 +2025-07-02 12:31:09,697 - pyskl - INFO - Epoch [133][500/898] lr: 8.250e-04, eta: 0:48:58, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0488, loss: 0.0488 +2025-07-02 12:31:28,018 - pyskl - INFO - Epoch [133][600/898] lr: 8.146e-04, eta: 0:48:39, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0368, loss: 0.0368 +2025-07-02 12:31:46,056 - pyskl - INFO - Epoch [133][700/898] lr: 8.043e-04, eta: 0:48:20, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0343, loss: 0.0343 +2025-07-02 12:32:04,063 - pyskl - INFO - Epoch [133][800/898] lr: 7.941e-04, eta: 0:48:02, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0374, loss: 0.0374 +2025-07-02 12:32:22,704 - pyskl - INFO - Saving checkpoint at 133 epochs +2025-07-02 12:33:00,618 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:33:00,647 - pyskl - INFO - +top1_acc 0.9693 +top5_acc 0.9960 +2025-07-02 12:33:00,649 - pyskl - INFO - Epoch(val) [133][450] top1_acc: 0.9693, top5_acc: 0.9960 +2025-07-02 12:33:43,585 - pyskl - INFO - Epoch [134][100/898] lr: 7.739e-04, eta: 0:47:25, time: 0.429, data_time: 0.241, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0354, loss: 0.0354 +2025-07-02 12:34:02,359 - pyskl - INFO - Epoch [134][200/898] lr: 7.639e-04, eta: 0:47:06, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0526, loss: 0.0526 +2025-07-02 12:34:20,972 - pyskl - INFO - Epoch [134][300/898] lr: 7.539e-04, eta: 0:46:48, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0431, loss: 0.0431 +2025-07-02 12:34:39,026 - pyskl - INFO - Epoch [134][400/898] lr: 7.439e-04, eta: 0:46:29, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 12:34:57,162 - pyskl - INFO - Epoch [134][500/898] lr: 7.341e-04, eta: 0:46:10, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0392, loss: 0.0392 +2025-07-02 12:35:15,314 - pyskl - INFO - Epoch [134][600/898] lr: 7.242e-04, eta: 0:45:51, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9875, top5_acc: 0.9994, loss_cls: 0.0628, loss: 0.0628 +2025-07-02 12:35:33,391 - pyskl - INFO - Epoch [134][700/898] lr: 7.145e-04, eta: 0:45:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0459, loss: 0.0459 +2025-07-02 12:35:51,537 - pyskl - INFO - Epoch [134][800/898] lr: 7.048e-04, eta: 0:45:13, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0407, loss: 0.0407 +2025-07-02 12:36:09,639 - pyskl - INFO - Saving checkpoint at 134 epochs +2025-07-02 12:36:47,218 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:36:47,241 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9964 +2025-07-02 12:36:47,246 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_128.pth was removed +2025-07-02 12:36:47,410 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2025-07-02 12:36:47,410 - pyskl - INFO - Best top1_acc is 0.9729 at 134 epoch. +2025-07-02 12:36:47,412 - pyskl - INFO - Epoch(val) [134][450] top1_acc: 0.9729, top5_acc: 0.9964 +2025-07-02 12:37:30,440 - pyskl - INFO - Epoch [135][100/898] lr: 6.858e-04, eta: 0:44:37, time: 0.430, data_time: 0.241, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0280, loss: 0.0280 +2025-07-02 12:37:48,988 - pyskl - INFO - Epoch [135][200/898] lr: 6.763e-04, eta: 0:44:18, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0439, loss: 0.0439 +2025-07-02 12:38:07,191 - pyskl - INFO - Epoch [135][300/898] lr: 6.669e-04, eta: 0:43:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0307, loss: 0.0307 +2025-07-02 12:38:25,006 - pyskl - INFO - Epoch [135][400/898] lr: 6.576e-04, eta: 0:43:40, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0442, loss: 0.0442 +2025-07-02 12:38:43,188 - pyskl - INFO - Epoch [135][500/898] lr: 6.483e-04, eta: 0:43:22, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 12:39:01,219 - pyskl - INFO - Epoch [135][600/898] lr: 6.390e-04, eta: 0:43:03, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0416, loss: 0.0416 +2025-07-02 12:39:18,990 - pyskl - INFO - Epoch [135][700/898] lr: 6.298e-04, eta: 0:42:44, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0507, loss: 0.0507 +2025-07-02 12:39:37,030 - pyskl - INFO - Epoch [135][800/898] lr: 6.207e-04, eta: 0:42:25, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9994, loss_cls: 0.0327, loss: 0.0327 +2025-07-02 12:39:55,274 - pyskl - INFO - Saving checkpoint at 135 epochs +2025-07-02 12:40:32,732 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:40:32,756 - pyskl - INFO - +top1_acc 0.9734 +top5_acc 0.9964 +2025-07-02 12:40:32,765 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_134.pth was removed +2025-07-02 12:40:32,930 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2025-07-02 12:40:32,931 - pyskl - INFO - Best top1_acc is 0.9734 at 135 epoch. +2025-07-02 12:40:32,932 - pyskl - INFO - Epoch(val) [135][450] top1_acc: 0.9734, top5_acc: 0.9964 +2025-07-02 12:41:14,884 - pyskl - INFO - Epoch [136][100/898] lr: 6.029e-04, eta: 0:41:48, time: 0.419, data_time: 0.235, memory: 2903, top1_acc: 0.9906, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 12:41:33,073 - pyskl - INFO - Epoch [136][200/898] lr: 5.940e-04, eta: 0:41:30, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0382, loss: 0.0382 +2025-07-02 12:41:51,268 - pyskl - INFO - Epoch [136][300/898] lr: 5.851e-04, eta: 0:41:11, time: 0.182, data_time: 0.001, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0417, loss: 0.0417 +2025-07-02 12:42:09,394 - pyskl - INFO - Epoch [136][400/898] lr: 5.764e-04, eta: 0:40:52, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9981, loss_cls: 0.0395, loss: 0.0395 +2025-07-02 12:42:27,504 - pyskl - INFO - Epoch [136][500/898] lr: 5.676e-04, eta: 0:40:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0273, loss: 0.0273 +2025-07-02 12:42:45,533 - pyskl - INFO - Epoch [136][600/898] lr: 5.590e-04, eta: 0:40:14, time: 0.180, data_time: 0.001, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 12:43:03,712 - pyskl - INFO - Epoch [136][700/898] lr: 5.504e-04, eta: 0:39:55, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9988, loss_cls: 0.0469, loss: 0.0469 +2025-07-02 12:43:21,725 - pyskl - INFO - Epoch [136][800/898] lr: 5.419e-04, eta: 0:39:37, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0351, loss: 0.0351 +2025-07-02 12:43:39,913 - pyskl - INFO - Saving checkpoint at 136 epochs +2025-07-02 12:44:17,062 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:44:17,093 - pyskl - INFO - +top1_acc 0.9723 +top5_acc 0.9964 +2025-07-02 12:44:17,096 - pyskl - INFO - Epoch(val) [136][450] top1_acc: 0.9723, top5_acc: 0.9964 +2025-07-02 12:45:00,585 - pyskl - INFO - Epoch [137][100/898] lr: 5.252e-04, eta: 0:39:00, time: 0.435, data_time: 0.243, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 12:45:19,297 - pyskl - INFO - Epoch [137][200/898] lr: 5.169e-04, eta: 0:38:41, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0445, loss: 0.0445 +2025-07-02 12:45:37,410 - pyskl - INFO - Epoch [137][300/898] lr: 5.086e-04, eta: 0:38:23, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 12:45:55,216 - pyskl - INFO - Epoch [137][400/898] lr: 5.004e-04, eta: 0:38:04, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 12:46:13,430 - pyskl - INFO - Epoch [137][500/898] lr: 4.923e-04, eta: 0:37:45, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0346, loss: 0.0346 +2025-07-02 12:46:31,503 - pyskl - INFO - Epoch [137][600/898] lr: 4.842e-04, eta: 0:37:26, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0333, loss: 0.0333 +2025-07-02 12:46:50,094 - pyskl - INFO - Epoch [137][700/898] lr: 4.762e-04, eta: 0:37:07, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0443, loss: 0.0443 +2025-07-02 12:47:08,237 - pyskl - INFO - Epoch [137][800/898] lr: 4.683e-04, eta: 0:36:48, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 12:47:26,776 - pyskl - INFO - Saving checkpoint at 137 epochs +2025-07-02 12:48:03,773 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:48:03,797 - pyskl - INFO - +top1_acc 0.9720 +top5_acc 0.9965 +2025-07-02 12:48:03,798 - pyskl - INFO - Epoch(val) [137][450] top1_acc: 0.9720, top5_acc: 0.9965 +2025-07-02 12:48:46,353 - pyskl - INFO - Epoch [138][100/898] lr: 4.527e-04, eta: 0:36:12, time: 0.426, data_time: 0.239, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 12:49:04,759 - pyskl - INFO - Epoch [138][200/898] lr: 4.450e-04, eta: 0:35:53, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 12:49:23,045 - pyskl - INFO - Epoch [138][300/898] lr: 4.373e-04, eta: 0:35:34, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 12:49:41,175 - pyskl - INFO - Epoch [138][400/898] lr: 4.297e-04, eta: 0:35:15, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0345, loss: 0.0345 +2025-07-02 12:49:59,215 - pyskl - INFO - Epoch [138][500/898] lr: 4.222e-04, eta: 0:34:56, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0389, loss: 0.0389 +2025-07-02 12:50:17,522 - pyskl - INFO - Epoch [138][600/898] lr: 4.147e-04, eta: 0:34:38, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0330, loss: 0.0330 +2025-07-02 12:50:35,811 - pyskl - INFO - Epoch [138][700/898] lr: 4.073e-04, eta: 0:34:19, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0324, loss: 0.0324 +2025-07-02 12:50:53,985 - pyskl - INFO - Epoch [138][800/898] lr: 3.999e-04, eta: 0:34:00, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0385, loss: 0.0385 +2025-07-02 12:51:12,182 - pyskl - INFO - Saving checkpoint at 138 epochs +2025-07-02 12:51:49,642 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:51:49,670 - pyskl - INFO - +top1_acc 0.9737 +top5_acc 0.9965 +2025-07-02 12:51:49,675 - pyskl - INFO - The previous best checkpoint /home/lhd/pyskl/work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_135.pth was removed +2025-07-02 12:51:49,874 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2025-07-02 12:51:49,874 - pyskl - INFO - Best top1_acc is 0.9737 at 138 epoch. +2025-07-02 12:51:49,877 - pyskl - INFO - Epoch(val) [138][450] top1_acc: 0.9737, top5_acc: 0.9965 +2025-07-02 12:52:32,256 - pyskl - INFO - Epoch [139][100/898] lr: 3.856e-04, eta: 0:33:23, time: 0.424, data_time: 0.237, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 12:52:50,828 - pyskl - INFO - Epoch [139][200/898] lr: 3.784e-04, eta: 0:33:05, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0267, loss: 0.0267 +2025-07-02 12:53:09,295 - pyskl - INFO - Epoch [139][300/898] lr: 3.713e-04, eta: 0:32:46, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0418, loss: 0.0418 +2025-07-02 12:53:27,231 - pyskl - INFO - Epoch [139][400/898] lr: 3.643e-04, eta: 0:32:27, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0274, loss: 0.0274 +2025-07-02 12:53:44,963 - pyskl - INFO - Epoch [139][500/898] lr: 3.574e-04, eta: 0:32:08, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 12:54:03,109 - pyskl - INFO - Epoch [139][600/898] lr: 3.505e-04, eta: 0:31:49, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0367, loss: 0.0367 +2025-07-02 12:54:21,161 - pyskl - INFO - Epoch [139][700/898] lr: 3.436e-04, eta: 0:31:30, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 12:54:39,313 - pyskl - INFO - Epoch [139][800/898] lr: 3.369e-04, eta: 0:31:12, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0315, loss: 0.0315 +2025-07-02 12:54:57,757 - pyskl - INFO - Saving checkpoint at 139 epochs +2025-07-02 12:55:35,277 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:55:35,302 - pyskl - INFO - +top1_acc 0.9719 +top5_acc 0.9968 +2025-07-02 12:55:35,303 - pyskl - INFO - Epoch(val) [139][450] top1_acc: 0.9719, top5_acc: 0.9968 +2025-07-02 12:56:17,705 - pyskl - INFO - Epoch [140][100/898] lr: 3.237e-04, eta: 0:30:35, time: 0.424, data_time: 0.235, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0402, loss: 0.0402 +2025-07-02 12:56:35,919 - pyskl - INFO - Epoch [140][200/898] lr: 3.171e-04, eta: 0:30:16, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0414, loss: 0.0414 +2025-07-02 12:56:54,380 - pyskl - INFO - Epoch [140][300/898] lr: 3.107e-04, eta: 0:29:57, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0321, loss: 0.0321 +2025-07-02 12:57:12,222 - pyskl - INFO - Epoch [140][400/898] lr: 3.042e-04, eta: 0:29:38, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0272, loss: 0.0272 +2025-07-02 12:57:30,077 - pyskl - INFO - Epoch [140][500/898] lr: 2.979e-04, eta: 0:29:20, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0212, loss: 0.0212 +2025-07-02 12:57:48,414 - pyskl - INFO - Epoch [140][600/898] lr: 2.916e-04, eta: 0:29:01, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0263, loss: 0.0263 +2025-07-02 12:58:06,867 - pyskl - INFO - Epoch [140][700/898] lr: 2.853e-04, eta: 0:28:42, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0296, loss: 0.0296 +2025-07-02 12:58:25,527 - pyskl - INFO - Epoch [140][800/898] lr: 2.792e-04, eta: 0:28:23, time: 0.187, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0255, loss: 0.0255 +2025-07-02 12:58:44,132 - pyskl - INFO - Saving checkpoint at 140 epochs +2025-07-02 12:59:21,918 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 12:59:21,946 - pyskl - INFO - +top1_acc 0.9730 +top5_acc 0.9964 +2025-07-02 12:59:21,948 - pyskl - INFO - Epoch(val) [140][450] top1_acc: 0.9730, top5_acc: 0.9964 +2025-07-02 13:00:05,766 - pyskl - INFO - Epoch [141][100/898] lr: 2.672e-04, eta: 0:27:47, time: 0.438, data_time: 0.247, memory: 2903, top1_acc: 0.9919, top5_acc: 0.9994, loss_cls: 0.0438, loss: 0.0438 +2025-07-02 13:00:24,539 - pyskl - INFO - Epoch [141][200/898] lr: 2.612e-04, eta: 0:27:28, time: 0.188, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9988, loss_cls: 0.0241, loss: 0.0241 +2025-07-02 13:00:42,875 - pyskl - INFO - Epoch [141][300/898] lr: 2.553e-04, eta: 0:27:09, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0233, loss: 0.0233 +2025-07-02 13:01:00,847 - pyskl - INFO - Epoch [141][400/898] lr: 2.495e-04, eta: 0:26:50, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0380, loss: 0.0380 +2025-07-02 13:01:18,958 - pyskl - INFO - Epoch [141][500/898] lr: 2.437e-04, eta: 0:26:31, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0383, loss: 0.0383 +2025-07-02 13:01:36,991 - pyskl - INFO - Epoch [141][600/898] lr: 2.380e-04, eta: 0:26:12, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 13:01:55,351 - pyskl - INFO - Epoch [141][700/898] lr: 2.324e-04, eta: 0:25:54, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0232, loss: 0.0232 +2025-07-02 13:02:13,209 - pyskl - INFO - Epoch [141][800/898] lr: 2.269e-04, eta: 0:25:35, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0366, loss: 0.0366 +2025-07-02 13:02:32,084 - pyskl - INFO - Saving checkpoint at 141 epochs +2025-07-02 13:03:10,386 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:03:10,421 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9968 +2025-07-02 13:03:10,422 - pyskl - INFO - Epoch(val) [141][450] top1_acc: 0.9722, top5_acc: 0.9968 +2025-07-02 13:03:54,144 - pyskl - INFO - Epoch [142][100/898] lr: 2.160e-04, eta: 0:24:58, time: 0.437, data_time: 0.246, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0334, loss: 0.0334 +2025-07-02 13:04:12,666 - pyskl - INFO - Epoch [142][200/898] lr: 2.107e-04, eta: 0:24:39, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0372, loss: 0.0372 +2025-07-02 13:04:30,767 - pyskl - INFO - Epoch [142][300/898] lr: 2.054e-04, eta: 0:24:20, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0242, loss: 0.0242 +2025-07-02 13:04:48,895 - pyskl - INFO - Epoch [142][400/898] lr: 2.001e-04, eta: 0:24:02, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 0.9994, loss_cls: 0.0336, loss: 0.0336 +2025-07-02 13:05:07,180 - pyskl - INFO - Epoch [142][500/898] lr: 1.950e-04, eta: 0:23:43, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0266, loss: 0.0266 +2025-07-02 13:05:25,231 - pyskl - INFO - Epoch [142][600/898] lr: 1.899e-04, eta: 0:23:24, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 13:05:43,845 - pyskl - INFO - Epoch [142][700/898] lr: 1.849e-04, eta: 0:23:05, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0223, loss: 0.0223 +2025-07-02 13:06:01,815 - pyskl - INFO - Epoch [142][800/898] lr: 1.799e-04, eta: 0:22:46, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0376, loss: 0.0376 +2025-07-02 13:06:20,600 - pyskl - INFO - Saving checkpoint at 142 epochs +2025-07-02 13:06:57,608 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:06:57,631 - pyskl - INFO - +top1_acc 0.9729 +top5_acc 0.9969 +2025-07-02 13:06:57,633 - pyskl - INFO - Epoch(val) [142][450] top1_acc: 0.9729, top5_acc: 0.9969 +2025-07-02 13:07:41,400 - pyskl - INFO - Epoch [143][100/898] lr: 1.703e-04, eta: 0:22:10, time: 0.438, data_time: 0.247, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0329, loss: 0.0329 +2025-07-02 13:08:00,011 - pyskl - INFO - Epoch [143][200/898] lr: 1.655e-04, eta: 0:21:51, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0270, loss: 0.0270 +2025-07-02 13:08:18,122 - pyskl - INFO - Epoch [143][300/898] lr: 1.608e-04, eta: 0:21:32, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0271, loss: 0.0271 +2025-07-02 13:08:36,089 - pyskl - INFO - Epoch [143][400/898] lr: 1.562e-04, eta: 0:21:13, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0341, loss: 0.0341 +2025-07-02 13:08:54,385 - pyskl - INFO - Epoch [143][500/898] lr: 1.516e-04, eta: 0:20:54, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0253, loss: 0.0253 +2025-07-02 13:09:12,575 - pyskl - INFO - Epoch [143][600/898] lr: 1.471e-04, eta: 0:20:36, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 13:09:30,752 - pyskl - INFO - Epoch [143][700/898] lr: 1.427e-04, eta: 0:20:17, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 13:09:48,691 - pyskl - INFO - Epoch [143][800/898] lr: 1.383e-04, eta: 0:19:58, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 13:10:07,357 - pyskl - INFO - Saving checkpoint at 143 epochs +2025-07-02 13:10:44,785 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:10:44,817 - pyskl - INFO - +top1_acc 0.9722 +top5_acc 0.9969 +2025-07-02 13:10:44,818 - pyskl - INFO - Epoch(val) [143][450] top1_acc: 0.9722, top5_acc: 0.9969 +2025-07-02 13:11:26,897 - pyskl - INFO - Epoch [144][100/898] lr: 1.299e-04, eta: 0:19:21, time: 0.421, data_time: 0.235, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0377, loss: 0.0377 +2025-07-02 13:11:45,271 - pyskl - INFO - Epoch [144][200/898] lr: 1.258e-04, eta: 0:19:02, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0311, loss: 0.0311 +2025-07-02 13:12:03,471 - pyskl - INFO - Epoch [144][300/898] lr: 1.217e-04, eta: 0:18:43, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9988, loss_cls: 0.0378, loss: 0.0378 +2025-07-02 13:12:21,612 - pyskl - INFO - Epoch [144][400/898] lr: 1.176e-04, eta: 0:18:25, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0302, loss: 0.0302 +2025-07-02 13:12:39,849 - pyskl - INFO - Epoch [144][500/898] lr: 1.137e-04, eta: 0:18:06, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0316, loss: 0.0316 +2025-07-02 13:12:57,814 - pyskl - INFO - Epoch [144][600/898] lr: 1.098e-04, eta: 0:17:47, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 0.9988, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 13:13:16,103 - pyskl - INFO - Epoch [144][700/898] lr: 1.060e-04, eta: 0:17:28, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9944, top5_acc: 0.9994, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 13:13:34,159 - pyskl - INFO - Epoch [144][800/898] lr: 1.022e-04, eta: 0:17:09, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 0.9994, loss_cls: 0.0283, loss: 0.0283 +2025-07-02 13:13:52,633 - pyskl - INFO - Saving checkpoint at 144 epochs +2025-07-02 13:14:30,532 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:14:30,556 - pyskl - INFO - +top1_acc 0.9704 +top5_acc 0.9968 +2025-07-02 13:14:30,558 - pyskl - INFO - Epoch(val) [144][450] top1_acc: 0.9704, top5_acc: 0.9968 +2025-07-02 13:15:15,430 - pyskl - INFO - Epoch [145][100/898] lr: 9.498e-05, eta: 0:16:33, time: 0.449, data_time: 0.258, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0221, loss: 0.0221 +2025-07-02 13:15:34,048 - pyskl - INFO - Epoch [145][200/898] lr: 9.143e-05, eta: 0:16:14, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0349, loss: 0.0349 +2025-07-02 13:15:52,136 - pyskl - INFO - Epoch [145][300/898] lr: 8.794e-05, eta: 0:15:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0236, loss: 0.0236 +2025-07-02 13:16:10,596 - pyskl - INFO - Epoch [145][400/898] lr: 8.452e-05, eta: 0:15:36, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0304, loss: 0.0304 +2025-07-02 13:16:28,609 - pyskl - INFO - Epoch [145][500/898] lr: 8.117e-05, eta: 0:15:17, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0204, loss: 0.0204 +2025-07-02 13:16:46,845 - pyskl - INFO - Epoch [145][600/898] lr: 7.789e-05, eta: 0:14:59, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0295, loss: 0.0295 +2025-07-02 13:17:05,222 - pyskl - INFO - Epoch [145][700/898] lr: 7.467e-05, eta: 0:14:40, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 13:17:22,880 - pyskl - INFO - Epoch [145][800/898] lr: 7.153e-05, eta: 0:14:21, time: 0.177, data_time: 0.001, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0194, loss: 0.0194 +2025-07-02 13:17:41,517 - pyskl - INFO - Saving checkpoint at 145 epochs +2025-07-02 13:18:18,383 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:18:18,407 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9969 +2025-07-02 13:18:18,409 - pyskl - INFO - Epoch(val) [145][450] top1_acc: 0.9726, top5_acc: 0.9969 +2025-07-02 13:19:01,321 - pyskl - INFO - Epoch [146][100/898] lr: 6.549e-05, eta: 0:13:44, time: 0.429, data_time: 0.238, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0358, loss: 0.0358 +2025-07-02 13:19:19,792 - pyskl - INFO - Epoch [146][200/898] lr: 6.255e-05, eta: 0:13:25, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 13:19:38,126 - pyskl - INFO - Epoch [146][300/898] lr: 5.967e-05, eta: 0:13:06, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0258, loss: 0.0258 +2025-07-02 13:19:56,315 - pyskl - INFO - Epoch [146][400/898] lr: 5.686e-05, eta: 0:12:48, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0353, loss: 0.0353 +2025-07-02 13:20:14,747 - pyskl - INFO - Epoch [146][500/898] lr: 5.411e-05, eta: 0:12:29, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0203, loss: 0.0203 +2025-07-02 13:20:32,706 - pyskl - INFO - Epoch [146][600/898] lr: 5.144e-05, eta: 0:12:10, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0230, loss: 0.0230 +2025-07-02 13:20:50,677 - pyskl - INFO - Epoch [146][700/898] lr: 4.883e-05, eta: 0:11:51, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 13:21:08,961 - pyskl - INFO - Epoch [146][800/898] lr: 4.629e-05, eta: 0:11:32, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 13:21:27,614 - pyskl - INFO - Saving checkpoint at 146 epochs +2025-07-02 13:22:04,851 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:22:04,874 - pyskl - INFO - +top1_acc 0.9716 +top5_acc 0.9968 +2025-07-02 13:22:04,875 - pyskl - INFO - Epoch(val) [146][450] top1_acc: 0.9716, top5_acc: 0.9968 +2025-07-02 13:22:48,052 - pyskl - INFO - Epoch [147][100/898] lr: 4.146e-05, eta: 0:10:55, time: 0.432, data_time: 0.243, memory: 2903, top1_acc: 0.9931, top5_acc: 0.9994, loss_cls: 0.0339, loss: 0.0339 +2025-07-02 13:23:06,507 - pyskl - INFO - Epoch [147][200/898] lr: 3.912e-05, eta: 0:10:37, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0193, loss: 0.0193 +2025-07-02 13:23:24,432 - pyskl - INFO - Epoch [147][300/898] lr: 3.685e-05, eta: 0:10:18, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9919, top5_acc: 1.0000, loss_cls: 0.0433, loss: 0.0433 +2025-07-02 13:23:42,864 - pyskl - INFO - Epoch [147][400/898] lr: 3.465e-05, eta: 0:09:59, time: 0.184, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0278, loss: 0.0278 +2025-07-02 13:24:00,879 - pyskl - INFO - Epoch [147][500/898] lr: 3.251e-05, eta: 0:09:40, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0214, loss: 0.0214 +2025-07-02 13:24:19,025 - pyskl - INFO - Epoch [147][600/898] lr: 3.044e-05, eta: 0:09:21, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 0.9994, loss_cls: 0.0219, loss: 0.0219 +2025-07-02 13:24:37,479 - pyskl - INFO - Epoch [147][700/898] lr: 2.844e-05, eta: 0:09:03, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0314, loss: 0.0314 +2025-07-02 13:24:55,521 - pyskl - INFO - Epoch [147][800/898] lr: 2.651e-05, eta: 0:08:44, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0238, loss: 0.0238 +2025-07-02 13:25:14,265 - pyskl - INFO - Saving checkpoint at 147 epochs +2025-07-02 13:25:51,467 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:25:51,490 - pyskl - INFO - +top1_acc 0.9726 +top5_acc 0.9972 +2025-07-02 13:25:51,491 - pyskl - INFO - Epoch(val) [147][450] top1_acc: 0.9726, top5_acc: 0.9972 +2025-07-02 13:26:34,287 - pyskl - INFO - Epoch [148][100/898] lr: 2.289e-05, eta: 0:08:07, time: 0.428, data_time: 0.240, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 13:26:52,813 - pyskl - INFO - Epoch [148][200/898] lr: 2.116e-05, eta: 0:07:48, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 13:27:10,773 - pyskl - INFO - Epoch [148][300/898] lr: 1.950e-05, eta: 0:07:29, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 13:27:29,001 - pyskl - INFO - Epoch [148][400/898] lr: 1.790e-05, eta: 0:07:10, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0234, loss: 0.0234 +2025-07-02 13:27:46,905 - pyskl - INFO - Epoch [148][500/898] lr: 1.638e-05, eta: 0:06:52, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0252, loss: 0.0252 +2025-07-02 13:28:04,898 - pyskl - INFO - Epoch [148][600/898] lr: 1.492e-05, eta: 0:06:33, time: 0.180, data_time: 0.000, memory: 2903, top1_acc: 0.9962, top5_acc: 1.0000, loss_cls: 0.0220, loss: 0.0220 +2025-07-02 13:28:23,139 - pyskl - INFO - Epoch [148][700/898] lr: 1.353e-05, eta: 0:06:14, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 0.9994, loss_cls: 0.0222, loss: 0.0222 +2025-07-02 13:28:41,253 - pyskl - INFO - Epoch [148][800/898] lr: 1.221e-05, eta: 0:05:55, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9950, top5_acc: 1.0000, loss_cls: 0.0286, loss: 0.0286 +2025-07-02 13:29:00,254 - pyskl - INFO - Saving checkpoint at 148 epochs +2025-07-02 13:29:37,643 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:29:37,667 - pyskl - INFO - +top1_acc 0.9737 +top5_acc 0.9965 +2025-07-02 13:29:37,668 - pyskl - INFO - Epoch(val) [148][450] top1_acc: 0.9737, top5_acc: 0.9965 +2025-07-02 13:30:21,053 - pyskl - INFO - Epoch [149][100/898] lr: 9.789e-06, eta: 0:05:18, time: 0.434, data_time: 0.245, memory: 2903, top1_acc: 0.9944, top5_acc: 1.0000, loss_cls: 0.0348, loss: 0.0348 +2025-07-02 13:30:39,584 - pyskl - INFO - Epoch [149][200/898] lr: 8.670e-06, eta: 0:04:59, time: 0.185, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0319, loss: 0.0319 +2025-07-02 13:30:57,497 - pyskl - INFO - Epoch [149][300/898] lr: 7.618e-06, eta: 0:04:41, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9931, top5_acc: 1.0000, loss_cls: 0.0355, loss: 0.0355 +2025-07-02 13:31:15,760 - pyskl - INFO - Epoch [149][400/898] lr: 6.634e-06, eta: 0:04:22, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0178, loss: 0.0178 +2025-07-02 13:31:33,964 - pyskl - INFO - Epoch [149][500/898] lr: 5.719e-06, eta: 0:04:03, time: 0.182, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 1.0000, loss_cls: 0.0256, loss: 0.0256 +2025-07-02 13:31:52,517 - pyskl - INFO - Epoch [149][600/898] lr: 4.871e-06, eta: 0:03:44, time: 0.186, data_time: 0.000, memory: 2903, top1_acc: 0.9956, top5_acc: 0.9994, loss_cls: 0.0294, loss: 0.0294 +2025-07-02 13:32:10,867 - pyskl - INFO - Epoch [149][700/898] lr: 4.091e-06, eta: 0:03:25, time: 0.183, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0207, loss: 0.0207 +2025-07-02 13:32:28,637 - pyskl - INFO - Epoch [149][800/898] lr: 3.379e-06, eta: 0:03:07, time: 0.178, data_time: 0.000, memory: 2903, top1_acc: 0.9925, top5_acc: 1.0000, loss_cls: 0.0301, loss: 0.0301 +2025-07-02 13:32:47,292 - pyskl - INFO - Saving checkpoint at 149 epochs +2025-07-02 13:33:23,809 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:33:23,838 - pyskl - INFO - +top1_acc 0.9723 +top5_acc 0.9968 +2025-07-02 13:33:23,839 - pyskl - INFO - Epoch(val) [149][450] top1_acc: 0.9723, top5_acc: 0.9968 +2025-07-02 13:34:05,918 - pyskl - INFO - Epoch [150][100/898] lr: 2.170e-06, eta: 0:02:29, time: 0.421, data_time: 0.238, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0340, loss: 0.0340 +2025-07-02 13:34:23,845 - pyskl - INFO - Epoch [150][200/898] lr: 1.661e-06, eta: 0:02:11, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9906, top5_acc: 0.9994, loss_cls: 0.0520, loss: 0.0520 +2025-07-02 13:34:41,525 - pyskl - INFO - Epoch [150][300/898] lr: 1.220e-06, eta: 0:01:52, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0398, loss: 0.0398 +2025-07-02 13:34:59,661 - pyskl - INFO - Epoch [150][400/898] lr: 8.465e-07, eta: 0:01:33, time: 0.181, data_time: 0.000, memory: 2903, top1_acc: 0.9938, top5_acc: 1.0000, loss_cls: 0.0361, loss: 0.0361 +2025-07-02 13:35:17,321 - pyskl - INFO - Epoch [150][500/898] lr: 5.412e-07, eta: 0:01:14, time: 0.177, data_time: 0.000, memory: 2903, top1_acc: 0.9969, top5_acc: 1.0000, loss_cls: 0.0188, loss: 0.0188 +2025-07-02 13:35:35,225 - pyskl - INFO - Epoch [150][600/898] lr: 3.039e-07, eta: 0:00:55, time: 0.179, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0213, loss: 0.0213 +2025-07-02 13:35:52,750 - pyskl - INFO - Epoch [150][700/898] lr: 1.346e-07, eta: 0:00:37, time: 0.175, data_time: 0.000, memory: 2903, top1_acc: 0.9975, top5_acc: 1.0000, loss_cls: 0.0251, loss: 0.0251 +2025-07-02 13:36:10,156 - pyskl - INFO - Epoch [150][800/898] lr: 3.332e-08, eta: 0:00:18, time: 0.174, data_time: 0.000, memory: 2903, top1_acc: 0.9981, top5_acc: 1.0000, loss_cls: 0.0160, loss: 0.0160 +2025-07-02 13:36:28,464 - pyskl - INFO - Saving checkpoint at 150 epochs +2025-07-02 13:37:04,675 - pyskl - INFO - Evaluating top_k_accuracy ... +2025-07-02 13:37:04,700 - pyskl - INFO - +top1_acc 0.9712 +top5_acc 0.9965 +2025-07-02 13:37:04,702 - pyskl - INFO - Epoch(val) [150][450] top1_acc: 0.9712, top5_acc: 0.9965 +2025-07-02 13:37:12,634 - pyskl - INFO - 7187 videos remain after valid thresholding +2025-07-02 13:40:44,468 - pyskl - INFO - Testing results of the last checkpoint +2025-07-02 13:40:44,468 - pyskl - INFO - top1_acc: 0.9733 +2025-07-02 13:40:44,468 - pyskl - INFO - top5_acc: 0.9968 +2025-07-02 13:40:44,469 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_aclnet/pku_mmd_xview/km/best_top1_acc_epoch_138.pth +2025-07-02 13:44:15,792 - pyskl - INFO - Testing results of the best checkpoint +2025-07-02 13:44:15,792 - pyskl - INFO - top1_acc: 0.9743 +2025-07-02 13:44:15,793 - pyskl - INFO - top5_acc: 0.9967 diff --git a/pku_mmd_xview/km/20250702_041528.log.json b/pku_mmd_xview/km/20250702_041528.log.json new file mode 100644 index 0000000000000000000000000000000000000000..92343ea0a80af9cdc0e479864f3633c449f8db1d --- /dev/null +++ b/pku_mmd_xview/km/20250702_041528.log.json @@ -0,0 +1,1351 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]\nCUDA available: True\nGPU 0: Tesla V100-PCIE-32GB\nCUDA_HOME: /usr/local/cuda-11.7\nNVCC: Cuda compilation tools, release 11.7, V11.7.64\nGCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0\nPyTorch: 1.11.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers 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"epoch": 148, "iter": 100, "lr": 2e-05, "memory": 2903, "data_time": 0.24001, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.03012, "loss": 0.03012, "time": 0.42791} +{"mode": "train", "epoch": 148, "iter": 200, "lr": 2e-05, "memory": 2903, "data_time": 0.00024, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.02557, "loss": 0.02557, "time": 0.18526} +{"mode": "train", "epoch": 148, "iter": 300, "lr": 2e-05, "memory": 2903, "data_time": 0.00024, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.03009, "loss": 0.03009, "time": 0.17959} +{"mode": "train", "epoch": 148, "iter": 400, "lr": 2e-05, "memory": 2903, "data_time": 0.00034, "top1_acc": 0.99812, "top5_acc": 1.0, "loss_cls": 0.02338, "loss": 0.02338, "time": 0.18226} +{"mode": "train", "epoch": 148, "iter": 500, "lr": 2e-05, "memory": 2903, "data_time": 0.0002, "top1_acc": 0.99562, "top5_acc": 0.99938, "loss_cls": 0.0252, "loss": 0.0252, "time": 0.17903} +{"mode": "train", "epoch": 148, "iter": 600, "lr": 1e-05, "memory": 2903, "data_time": 0.00023, "top1_acc": 0.99625, "top5_acc": 1.0, "loss_cls": 0.02203, "loss": 0.02203, "time": 0.17992} +{"mode": "train", "epoch": 148, "iter": 700, "lr": 1e-05, "memory": 2903, "data_time": 0.00021, "top1_acc": 0.99688, "top5_acc": 0.99938, "loss_cls": 0.02221, "loss": 0.02221, "time": 0.18241} +{"mode": "train", "epoch": 148, "iter": 800, "lr": 1e-05, "memory": 2903, "data_time": 0.00022, "top1_acc": 0.995, "top5_acc": 1.0, "loss_cls": 0.02862, "loss": 0.02862, "time": 0.18113} +{"mode": "val", "epoch": 148, "iter": 450, "lr": 1e-05, "top1_acc": 0.9737, "top5_acc": 0.99652} +{"mode": "train", "epoch": 149, "iter": 100, "lr": 1e-05, "memory": 2903, "data_time": 0.24473, "top1_acc": 0.99438, "top5_acc": 1.0, "loss_cls": 0.03481, "loss": 0.03481, "time": 0.4338} +{"mode": "train", "epoch": 149, "iter": 200, "lr": 1e-05, "memory": 2903, "data_time": 0.00024, "top1_acc": 0.99562, "top5_acc": 1.0, "loss_cls": 0.03188, "loss": 0.03188, "time": 0.1853} +{"mode": "train", 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"data_time": 0.00022, "top1_acc": 0.9925, "top5_acc": 1.0, "loss_cls": 0.03005, "loss": 0.03005, "time": 0.1777} +{"mode": "val", "epoch": 149, "iter": 450, "lr": 0.0, "top1_acc": 0.97231, "top5_acc": 0.9968} +{"mode": "train", "epoch": 150, "iter": 100, "lr": 0.0, "memory": 2903, "data_time": 0.2377, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.03397, "loss": 0.03397, "time": 0.42073} +{"mode": "train", "epoch": 150, "iter": 200, "lr": 0.0, "memory": 2903, "data_time": 0.00023, "top1_acc": 0.99062, "top5_acc": 0.99938, "loss_cls": 0.05203, "loss": 0.05203, "time": 0.17926} +{"mode": "train", "epoch": 150, "iter": 300, "lr": 0.0, "memory": 2903, "data_time": 0.00023, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.03979, "loss": 0.03979, "time": 0.17679} +{"mode": "train", "epoch": 150, "iter": 400, "lr": 0.0, "memory": 2903, "data_time": 0.00025, "top1_acc": 0.99375, "top5_acc": 1.0, "loss_cls": 0.0361, "loss": 0.0361, "time": 0.18136} +{"mode": "train", "epoch": 150, "iter": 500, "lr": 0.0, "memory": 2903, "data_time": 0.00023, "top1_acc": 0.99688, "top5_acc": 1.0, "loss_cls": 0.0188, "loss": 0.0188, "time": 0.17659} +{"mode": "train", "epoch": 150, "iter": 600, "lr": 0.0, "memory": 2903, "data_time": 0.00037, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.02129, "loss": 0.02129, "time": 0.17903} +{"mode": "train", "epoch": 150, "iter": 700, "lr": 0.0, "memory": 2903, "data_time": 0.0002, "top1_acc": 0.9975, "top5_acc": 1.0, "loss_cls": 0.0251, "loss": 0.0251, "time": 0.17524} +{"mode": "train", "epoch": 150, "iter": 800, "lr": 0.0, "memory": 2903, "data_time": 0.0002, "top1_acc": 0.99812, "top5_acc": 1.0, "loss_cls": 0.01596, "loss": 0.01596, "time": 0.17406} +{"mode": "val", "epoch": 150, "iter": 450, "lr": 0.0, "top1_acc": 0.9712, "top5_acc": 0.99652} diff --git a/pku_mmd_xview/km/best_pred.pkl b/pku_mmd_xview/km/best_pred.pkl new file mode 100644 index 0000000000000000000000000000000000000000..0c8d70559ec2009d72cde7fc2442f058b716826b --- /dev/null +++ b/pku_mmd_xview/km/best_pred.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0dcb325a856ea5dd11ebb71e467e5b27e151fd2201faa5822dfd5df154e232d0 +size 2537621 diff --git a/pku_mmd_xview/km/best_top1_acc_epoch_138.pth b/pku_mmd_xview/km/best_top1_acc_epoch_138.pth new file mode 100644 index 0000000000000000000000000000000000000000..a0051f4cce944678660bb78571af0589ad3240da --- /dev/null +++ b/pku_mmd_xview/km/best_top1_acc_epoch_138.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0686cc6f2cdb89760408e4be1389e7710e07d9cab9ecd5a441335194621c16e8 +size 32917105 diff --git a/pku_mmd_xview/km/km.py b/pku_mmd_xview/km/km.py new file mode 100644 index 0000000000000000000000000000000000000000..b476cad0141d6d4165c9cde3d57613025f33f436 --- /dev/null +++ b/pku_mmd_xview/km/km.py @@ -0,0 +1,98 @@ +modality = 'km' +graph = 'nturgb+d' +work_dir = './work_dirs/test_aclnet/pku_mmd_xview/km' +model = dict( + type='RecognizerGCN', + backbone=dict( + type='GCN_Module', + gcn_ratio=0.125, + gcn_ctr='T', + gcn_ada='T', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='nturgb+d', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead', data_cfg='pku_mmd', num_classes=51, in_channels=384)) +dataset_type = 'PoseDataset' +ann_file = '/data/lhd/pyskl_data/pku/pku_mmd.pkl' +train_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=16, + workers_per_gpu=4, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='RandomRot', theta=0.2), + dict(type='Part_Drop'), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_train'), + val=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=1), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val'), + test=dict( + type='PoseDataset', + ann_file='/data/lhd/pyskl_data/pku/pku_mmd.pkl', + pipeline=[ + dict(type='PreNormalize3D', align_spine=False), + dict(type='GenSkeFeat', feats=['km']), + dict(type='UniformSampleDecode', clip_len=50, num_clips=10), + dict(type='FormatGCNInput'), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + split='xview_val')) +optimizer = dict( + type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict(interval=1, metrics=['top_k_accuracy']) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) diff --git a/pku_mmd_xview/pku_mmd_xview_ensemble.py b/pku_mmd_xview/pku_mmd_xview_ensemble.py new file mode 100644 index 0000000000000000000000000000000000000000..4a12a98a5e50b1a68c807266f3041c07daaedddd --- /dev/null +++ b/pku_mmd_xview/pku_mmd_xview_ensemble.py @@ -0,0 +1,68 @@ +from mmcv import load +import sys +# Note: please adjust the relative path according to the actual situation. +sys.path.append('../..') +from aclnet.smp import * + + +j_1 = load('j_1/best_pred.pkl') +b_1 = load('b_1/best_pred.pkl') +k_1 = load('k_1/best_pred.pkl') +jm = load('jm/best_pred.pkl') +bm = load('bm/best_pred.pkl') +km = load('km/best_pred.pkl') +j_2 = load('j_2/best_pred.pkl') +b_2 = load('b_2/best_pred.pkl') +k_2 = load('k_2/best_pred.pkl') +j_3 = load('j_3/best_pred.pkl') +b_3 = load('b_3/best_pred.pkl') +k_3 = load('k_3/best_pred.pkl') +label = load_label('/data/pku/pku_mmd.pkl', 'xview_val') + + +""" +*************** +InfoGCN v0: +j jm b bm k km +2S: 98.47 +4S: 98.57 +6S: 98.66 +*************** +""" +print('InfoGCN v0:') +print('j jm b bm k km') +print('2S') +fused = comb([j_1, b_1], [1, 1]) +print('Top-1', top1(fused, label)) + +print('4S') +fused = comb([j_1, b_1, jm, bm], [2, 2, 1, 1]) +print('Top-1', top1(fused, label)) + +print('6S') +fused = comb([j_1, b_1, k_1, jm, bm, km], [2, 2, 2, 1, 1, 1]) +print('Top-1', top1(fused, label)) + + +""" +*************** +HD-GCN v1: +j b j b j b +2S: 98.47 +4S: 98.59 +6S: 98.65 +*************** +""" +print('HD-GCN v1:') +print('j b j b j b') +print('2S') +fused = comb([j_1, b_1], [1, 1]) +print('Top-1', top1(fused, label)) + +print('4S') +fused = comb([j_1, b_1, j_2, b_2], [4, 4, 2, 2]) +print('Top-1', top1(fused, label)) + +print('6S') +fused = comb([j_1, b_1, j_2, b_2, j_3, b_3], [4, 4, 2, 2, 1, 1]) +print('Top-1', top1(fused, label))